Pi Processbook Moving Average

ADMs Journey to a Enterprise Agreement Apresentador: Scott Harmeier. A Archer Daniels Midland Company Scott compartilhará a viagem de ADMs de sua implementação inicial do PI com a conclusão de seu acordo de empresa. O uso de ADMs do sistema de PI evoluiu ao longo dos anos como realizou o poder dos dados para melhorar suas operações do processo. Eventualmente, o desejo de transformar dados de processo para informações que eram aplicáveis ​​a todos os níveis da empresa culminou na busca de um acordo empresarial. Scott irá explicar os eventos e motivação levando ao acordo empresarial e discutir os métodos utilizados para convencer a alta gerência que o acordo empresarial era um bom ajuste para ADMs metas de longo prazo. Destaque da Apresentação do Cliente Durante cada Conferência de Usuários, nossos apresentadores fazem palestras divertidas, criativas e informativas. Sempre há duas ou três apresentações onde novos conjuntos de dados, casos de uso inovadores ou novas abordagens para problemas de longa data nos surpreendem e nos fazem querer aprender mais. Nesta apresentação, nossos MC Christoph Papenfuss e Andrew Fanara compartilharão destaques desta sessões de destaque para dar a audiência inteira da conferência um gosto do que aconteceu durante estas sessões. 2014 Releases: Perspectivas de Clientes Esta palestra se concentra em lançamentos de produtos recentes e de curto prazo. Coresight mobile, ProcessBook Viewer, quadros de eventos, PI Cloud Connect e AF Analytics serão exibidos. Vários clientes PI irão se juntar à OSIsoft durante esta palestra para discutir o uso atual ou planejado desses lançamentos eo valor que esses lançamentos trazem para suas organizações. FIELD MOUS: Um Repositório de Dados Técnicos para Habilitar a Tomada de Decisões JIT Apresentador: Francisco Castillo, Ph. D. PMP. Vice-Presidente Sênior e Diretor de Informações Maynilad Water Services, Inc. Um desafio em qualquer negócio é entender exatamente onde você está em qualquer momento, seja este financeiro ou operacional. Para as operações, o desafio é particularmente agudo, pois a informação necessária reside em múltiplas fontes, algumas das quais são fechadas e difíceis de extrair. Além disso, as fontes de dados técnicos tradicionalmente não foram bem tratadas pelos departamentos de TI devido à sua falta de experiência no manuseamento destes sistemas técnicos, bem como a uma falta de conhecimento profundo do que os utilizadores realmente necessitam. Esta palestra se concentra no sistema baptizado FIELD MOUS (Field MOnitoring User System), que é essencialmente um Sistema PI atuando como um repositório de dados técnicos em que diferentes departamentos conectam seus dados e outros departamentos acessam-no para atender às suas necessidades particulares. Trata-se de um projecto de longo prazo, faseado, que visa recolher todos os dados técnicos necessários e produzir relatórios e análises baseados nas necessidades reais de gestão técnica. Aplicações que foram desenvolvidas ou estão em desenvolvimento incluem telemetria, automação, medição convencional e AMR, análise de perdas (NRW), painéis de controle, CBM e gerenciamento de pressão. Conclui-se com benefícios reais derivados desta implementação. Seu seu navio: alcançando o desempenho avançado Apresentador: Capitão Mike Abrashoff. Quando Mike Abrashoff se tornou comandante do USS Benfold, ele era o mais novo oficial comandante na Frota do Pacífico. Desafios a bordo deste destruidor underachieving foram surpreendentes com baixa moral ea maior taxa de rotatividade na Marinha. Sua solução foi um sistema que ele chamou de Roteiro de Liderança. É um processo de re-imaginação de liderança e substituição de comando e controle com compromisso e coesão. Ao envolver os corações, mentes e lealdades de seus marinheiros, ele alcançou um sucesso operacional nunca antes alcançado. Através da convicção e da humildade, Abrashoff contratou sua jovem equipe através do empoderamento. Ele acreditou, "A coisa mais importante que um capitão pode fazer é ver o navio através dos olhos do crew. quot Depois de deixar a Marinha Abrashoff co-fundada GLS Worldwide e tem trabalhado com mais de 1.000 organizações, de organizações sem fins lucrativos para Fortune Dez Empresas para incutir iniciativas de liderança em todos os níveis. Ao ensinar o valor de capacitar cada indivíduo para compartilhar a responsabilidade pela excelência, ele efetuou mudanças fenomenais em alguns dos lugares mais inesperados. - Seu navio, Abrashoff diria no Benfold que isto se tornou um byword em toda a América corporativa. Movendo-se para um mundo em tempo real: tráfego de eventos, ecossistemas de dados e inovação colaborativa Como sensores avançados, a tecnologia móvel ea Internet das Coisas expõem uma enxurrada de dados operacionais, os líderes buscam como capitalizar dados ldquobig. As tendências emergentes e como OSIsoftrsquos missão fundamental, para garantir que os clientes têm acesso aos seus dados sempre que, no entanto e sempre que necessário, continua a ser fundamental neste ambiente. Poucos dados significam muito dinheiro se no chão de fábrica ou no C-suite, os dados operacionais continuam a servir como base para a tomada de decisão informada. Dr. Kennedy irá discutir como uma abordagem PI System serve para moldar, validar e proteger dados críticos criando informações precisas, rastreáveis ​​e acionáveis. Escala, flexibilidade e conectividade dados ldquoBigrdquo começa como poucos dados. Com o tempo, os usuários do Sistema PI evoluíram de monitorar ativos únicos e críticos para áreas de plantas para plantas inteiras e, finalmente, para plantas. Como os obstáculos à conectividade eficiente são reduzidos, os ecossistemas de dados apoiados pelo Sistema PI estão potenciando iniciativas de Serviços Conectados, Transporte e Cidade Inteligente. Parceiros: outras empresas fornecem software para instrumentação, análise ou serviços que nossos clientes precisam. No ano passado, a OSIsoft decidiu melhorar nosso relacionamento com essas empresas por meio de um Programa de Parceiros melhorado. Continuamos a encontrar e trabalhar com as outras empresas para integrar melhor os nossos produtos e servir os nossos clientes. Aderindo aos nossos valores fundamentais à medida que a tecnologia avança, a OSIsoft trabalha para dar suporte a todos e cada um de seus clientes. Os usuários industriais consideram a vida de uma unidade de processo a ser da ordem de 50 anos, portanto, ter software com uma vida de 5 anos simplesmente não é aceitável. Nosso objetivo é construir o sistema mais apropriado para hoje, enquanto a prova futura nossos usuários e proteger seu investimento e manter a empresa som suficiente para continuar a fazê-lo. Coloque-se no mapa: A fusão do sistema PI Esri ArcGIS Esri permite às organizações maximizar dados e aplicações, revelando onde em seus dados corporativos. Esri ArcGIS estende o valor de aplicações empresariais tradicionais incorporando SIG (sistemas de informação geográfica) para ajudá-lo a visualizar, questionar, analisar, interpretar e compreender dados. É constituída por uma plataforma escalável que funciona na nuvem, em dispositivos móveis e dentro de sistemas de tecnologia da informação (TI) existentes. O resultado é o acesso a informações melhores para as organizações em todos os níveis que revelam relações, padrões e tendências que de outra forma permaneceriam trancadas. OSIsoft e Esri estão trabalhando juntos para se certificar de que você é capaz de aproveitar o poder de seus dados com GIS. Ao exibir dados de rede em tempo real e informações históricas em um mapa, você poderá ver padrões baseados em geografia e realizar análises espaciais. A combinação de Esri ArcGIS o PI System vai trazer seus dados para a vida e colocá-lo no mapa Realizando o poder de (seus) dados Big dados, Power BI, mobilidade o que eles realmente significam para o seu negócio e como eles podem melhorar seu fundo Line Aproveitando as informações que você já tem de novas maneiras pode ajudá-lo a não só mais com menos, mas com menos NOVO. Ouça sobre as formas inovadoras como as empresas e os governos estão alavancando um de seus maiores ativos para aumentar a percepção, a eficiência ea segurança. Syngenta Enogen Business Case Study: A nossa evolução para os serviços ligados Syngentas Enogen negócio só tem vindo a utilizar o sistema OSIsoft PI para menos de 2 anos, mas já fez um núcleo e parte integrante da estratégia para o rápido crescimento deste novo, mas extremamente importante Syngenta o negócio. A apresentação irá rever a jornada de transformação que a equipe Enogen tomou, que envolveu o uso de muitos dos mais recentes OSIsoft PI e tecnologias Microsoft, incluindo Windows Azure, Asset Framework e quadros de eventos. A Syngenta recentemente também embarcou em um novo contrato de licença para fornecer Serviços Conectados a plantas de partes interessadas. Isso permite que a equipe Enogen alavanque o trabalho PI originalmente feito para uso interno com as plantas que fornecem os dados e para compartilhar a informação gerenciada usando o conjunto PI de ferramentas analíticas, relatórios e visualização. A abordagem dos Serviços Conectados está atualmente sendo testada em uma das principais partes interessadas da usina de etanol. Confiabilidade do Sistema Columbia Pipeline Group Para que o Columbia Pipeline Group (CPG) seja o líder da indústria no atendimento ao cliente e para atender às demandas de nossa indústria extremamente competitiva, devemos operar com segurança e eficiência com um alto grau de confiabilidade. A CPG atende a alguns dos mercados de energia de maior valor da nação através de nossas instalações de transmissão e armazenamento de gás natural. O gasoduto interestadual estende-se 15.000 milhas e abrange 16 estados com aproximadamente 1,1 milhão cavalo-vapor de compressão alojados em mais de 100 estações. No Columbia Pipeline Group, o OSIsoft Enterprise Agreement permite a utilização de tecnologia líder para tomar decisões sobre Big Data. Estamos analisando dados em tempo real para evitar eventos de instalação através da aplicação de ferramentas OSIsoft, Microsoft e Transpara com uma economia estimada de evitação de falhas de aproximadamente 2 milhões até o momento. A análise e o monitoramento dos dados permitiram que a CPG estivesse recentemente em clima de alguns dos dias de entrega mais frios em 30 anos. Em 6 e 7 de janeiro, a produção de CPGs ficou entre os cinco primeiros dias de maior pico de todos os tempos desde 1981. Enquanto a demanda do Nordeste atingiu níveis recorde durante o vórtice polar, os ativos do Columbia Pipeline Groups funcionaram de forma confiável sem interrupções no fornecimento de gás natural. Um cliente expressou apreço, eu só queria agradecer a todos na CPG por nos ajudar a servir nossos clientes de forma confiável e segura através de algumas das condições mais severas foram experimentadas em anos, talvez décadas. Eventos recentes provam que possuir a capacidade de detectar falhas potenciais no início oferece um enorme valor não só para CPG, mas também para nossos clientes e para o meio ambiente. O Poder da Decisão de Dados Pronto em Tempo Real Jenny Kennedy Linton - Presidente e Martin Otterson - Vice-Presidente Sênior, irá receber os participantes da nossa 25ª conferência anual de usuários. Eles vão então apresentar o nosso tema da conferência: Poder de Dados - Decisão Pronto em Tempo Real que é apoiado por nossos três temas-chave O Poder da Conexão, Libertando sua Infra-estrutura e Informações sobre a Mancha. A Segunda Era da Máquina Andrew compartilha tópicos importantes de seu novo livro The Second Machine Age, publicado em janeiro deste ano. Ele descreve sua convicção de que estamos em um ponto de inflexão nos estágios iniciais de uma mudança tão profunda quanto o que foi trazido pela Revolução Industrial e inaugurado pelo crescimento implacável em poder de computação, dados em massa e inovações recombinantes. O modo como vivenciamos o BI de inteligência Insight (BI e Big Data) para o Office 365, um serviço de business intelligence baseado em nuvem que dá às pessoas uma poderosa nova maneira de trabalhar com dados nas ferramentas que usam diariamente, Excel e Office 365. Com o Excel Agora você pode descobrir, analisar e visualizar dados como nunca antes para encontrar insights valiosos de negócios. Com o Power BI para Office 365, os clientes podem facilmente implantar um ambiente de BI baseado em nuvem, onde as pessoas possam compartilhar insights, colaborar e acessar relatórios, de qualquer lugar. Esta sessão irá concentrar-se em ver o Power BI para o Office 365 em acção. Através de uma variedade de exploração de dados e exemplos de visualização bem ver como Microsofts nova solução de BI permite que mais usuários experimentem insights, bem como criar equilíbrio entre auto-serviço de BI e operações de TI que é um acelerador-chave para a adoção. Com o Power BI para Office 365, os dados do Windows Azure, do Office e de fontes de dados locais como OSIsoft PI se reúnem em experiências de BI modernas e acessíveis. Avance seu investimento na infra-estrutura PI: PI Server 2014 Nesta sessão, demonstramos como o próximo PI Server 2014 melhorará em muitas facetas do seu PI System, permitindo que você desencadeie facilmente o poder de sua infra-estrutura PI. Imagine fazer mais resultados disponíveis para ainda mais usuários - você pode ter isso, além de obter os carimbos de tempo futuro. Junte-se a nós e veja o que está na loja para o 2014 PI Server. Chegando a um Sistema PI Perto de Você Nesta sessão planejada para aqueles com um bom conhecimento prático do Sistema PI, vamos mostrar uma visão geral do que há de novo no Sistema PI e sobre o que está sendo trabalhado no próximo ano. Esta palestra irá ajudá-lo a compreender o nosso roteiro de produtos e dar-lhe uma melhor visão sobre os lugares mais adequados para passar o seu tempo neste ano Users Conference. Connecting Space And Time - OSIsoft e Esri At Users Conference 2013, a OSIsoft anunciou uma parceria com a Esri, o padrão ouro para a análise geoespacial e mapas. Esta parceria levou à criação de um produto, PI Integrator para Esri ArcGIS, que torna os mapas em tempo real uma realidade fácil para a empresa. A solução empacotada fornecerá os dados do PI System no coração da plataforma Esris ArcGIS, onde ele preenche mapas belos e perspicazes e potencia a geoanálise em tempo real. Esta sessão terá um tour em profundidade de suas capacidades e experiência. Saiba o que a experiência de configuração simples implica para os administradores e, em seguida, veja os resultados impressionantes dos dados do Sistema PI colorindo um mapa e alimentando análises geoespaciais. Conectando a Inquisitive Enterprise: OSIsoft e Microsoft Power BI Venha ver como novas ferramentas podem ser usadas para melhorar a descoberta do comportamento do processo ou para a tomada de decisão inteligente em sua organização. Novas tecnologias evoluíram para tirar dados além da camada de informação e transformá-la em inteligência. O Microsoft Power BI para Office 365 fornece ferramentas de análise inovadoras e novas formas de conectar mais usuários aos dados do PI System. O novo Serviço PI OData alinha a Infra-estrutura PI com essas tecnologias simplificando o acesso a dados através do Microsoft Power Query para Excel 2013. Esta sessão irá demonstrar essas novas aplicações, incluindo o Power QA, que pode responder perguntas usando os dados do PI System no local. Conectando Aplicativos da Web e Móveis ao Sistema PI Conectando pessoas e processos com os Sistemas PI através de aplicações web e móveis habilitadas pela nuvem, isso é o poder dos sistemas PI Web API e PI Cloud Access. A combinação destas tecnologias permite uma nova classe de aplicativos de compartilhamento de dados entre webmobile, cross-platform e cross-business. Esta sessão irá destacar as oportunidades de desenvolvimento de aplicações que estas tecnologias oferecem e abrangerão a visão eo roteiro. Detectar, visualizar e agir: como fornecer contexto para eventos críticos O PI Event Frames permite que os clientes registrem e encontrem eventos importantes de processo ou de negócios, como tempo de inatividade, excursões de processo, startups e outros eventos com uma hora de início e uma hora de término. Nesta sessão, iremos fazer a demonstração do suporte de Quadros de Eventos PI através do Sistema PI. Participe para aprender como você pode aproveitar o poder dos eventos em seu Sistema PI. Relatórios Eventful com PI DataLink 2014 PI O DataLink 2014 torna os relatórios do PI System ainda melhores, reportando eventos e perfurando dados históricos, introduzindo suporte para quadros de eventos PI. Ele também torna a localização de ativos com base em critérios de modelos PI Asset Framework chamejando rapidamente com um novo modelo de pesquisa baseada. Outras melhorias incluem pesquisa geral mais rápida e navegação, metadados aprimorados e muito mais. Venha a esta sessão para ver todos os destaques dos dois últimos lançamentos e da próxima versão do PI DataLink. Evolução da comunidade de desenvolvedores OSIsoft: o que você precisa saber À medida que o Sistema PI evolui de um mundo de servidores e desktops para um mundo de serviços e dispositivos, a estrutura de suporte para nossa Comunidade de desenvolvedores também deve evoluir. OSIsoft está estabelecendo o que nós nos referimos como a Plataforma de Desenvolvedor de PI voltada para apoiar os esforços de desenvolvimento modernos e tornando mais fácil para os desenvolvedores obter as ferramentas eo suporte de que necessitam. Nosso objetivo final é fornecer-lhe tudo que você precisa para ser um desenvolvedor de sucesso, a fim de libertar o poder dos dados. Isso se aplica tanto aos parceiros quanto aos clientes da OSIsoft. Algumas tecnologias tornar-se-ão abertas e mais facilmente acessíveis, enquanto outras serão desaprovadas ao longo do tempo. Esta palestra irá expandir esses conceitos, dar-lhe uma idéia melhor do que estamos fazendo para investir em nossa comunidade de desenvolvedores, e falar de como isso impacta você. Usuários do PI Batch: Migração de lotes para quadros de eventos PI Esta conversa é para os clientes do PI Batch. Aqui nós entramos em detalhes de OSIsofts planeja migrar dados de PI Batch para PI Event Frames em PI Server 2014. Vamos dar demos sobre formas atuais de visualizar eventos em lote no PI System, incluindo PI Coresight e PI Data Link. PI Coresight 2014: Coloque o ProcessBook PI em seu bolso Continue a alavancar o investimento de visualização existente e comece a usar os dispositivos que seus usuários estão exigindo. O PI Coresight 2014 suporta displays PI ProcessBook e pode ser visualizado em qualquer dispositivo, seja dentro ou fora da empresa. Vamos demonstrar o quão fácil é importar e exibir exibições PI ProcessBook em praticamente qualquer navegador e falar sobre as vantagens e limitação desta grande nova capacidade de PI Coresight 2014. PI System 101: Fundamentos para Iniciantes Você é novo para o PI Sistema Um usuário final inseguro de onde vêm seus dados Um administrador do sistema PI que precisa aprender sobre novas ferramentas Venha a esta sessão para descobrir o que é o sistema PI, como a infra-estrutura pode beneficiar sua organização para oferecer valor real e Para ver uma demonstração de alto nível de como os clientes trabalham com nossas ferramentas para obter uma visão de seus processos. Esta sessão de meia hora vai lhe dar o básico que você precisa para entender muitas das outras apresentações que estarão disponíveis durante toda a conferência. Aumentar o QI de suas Fontes de Dados com Conectores PI Inteligentes O valor das novas Interfaces PI baseadas em ativos está em alavancar metadados já disponíveis em muitas fontes de dados. Com a diminuição dos tempos de configuração e o aumento do contexto em torno dos dados do Sistema PI, esta tecnologia diminuirá o tempo necessário para obter novos dados no Sistema PI e tornar esses dados mais facilmente detectáveis. Venha e aprenda em primeira mão sobre a nova geração de Interfaces PI. O poder de uma Cadeia de Suprimentos Conectada Um ano depois de desvendar o PI Cloud Connect como a primeira oferta SaaS da OSIsoft, esta sessão fornecerá uma atualização sobre a tecnologia e como os clientes a usam desde então para permitir intercâmbios de dados entre empresas. Venha aprender como você pode alavancar nossos novos Serviços Conectados. Desencadeie o Poder de Grandes Dados O ecossistema Hadoop fornece um grande conjunto de ferramentas complementares para analisar todos os dados no Sistema PI. Esta sessão irá demonstrar como aplicar Hadoop para resolver três padrões comuns de problemas de negócios: encontrar condições de exceção sobre um conjunto inteiro de equipamentos, correlacionando muitas variáveis ​​diferentes e arquivos de processamento em lote. Em cada demonstração, o conhecimento resultante será operacionalizado, devolvendo os resultados às capacidades em tempo real do Sistema PI. O que devo fazer para endurecer o meu sistema PI contra as ameaças cibernéticas Inspirado no US Cyber ​​Challenge, a OSIsoft criou um para o nosso próprio sistema PI. Esta missão liga OSIsofts melhor e mais brilhante para a pergunta mais freqüente sobre o Sistema PI e segurança cibernética: O que devo fazer para endurecer o meu Sistema PI contra ameaças cibernéticas Durante esta sessão, os vencedores vencedores ganharão mão para demonstrar sua segurança endurecida Sistema PI em execução na nuvem Azure. Venha ver por si mesmo e aprender que técnicas de endurecimento foram julgadas melhor, e por quê. Mega-tendência vai aumentar o valor de sua infra-estrutura PI Mega-tendências, como a Internet das Coisas e Machine to Machine têm vindo a chamar a atenção na comunidade industrial, porque cada um tem o potencial de interromper e mudar radicalmente a forma como as empresas fazer negócios. Os pontos de extremidade estão ficando mais inteligentes e menores, e as redes estão ficando mais robustas. Como uma empresa conectada, como você capturará esses dados com a Infra-estrutura PI e tomará decisão pronta Esta sessão discutirá os desafios, oportunidades e cenários de valor enfrentados pelos nossos usuários corporativos do PI System. Uma viagem a um sistema integrado de informação da refinaria com o sistema PI Na refinaria de Rijeka, vários sistemas de controlo e monitorização digitais foram implementados desde a década de 1990. Vários sistemas foram ilhas por conta própria com infra-estrutura separada e consolesworkstations. Ao longo do tempo alguns historiadores foram acessíveis à rede de negócios, mas não houve integração real de dados. Conectando todos os sistemas de controle e monitoramento usando o Sistema PI, integramos dados de processo de vários sistemas em um único. Foram também integrados dados de vários sistemas não processados ​​- dados laboratoriais, monitorização do ambiente, movimentos de materiais e dados introduzidos manualmente. O Sistema PI e os dados integrados forneceram ao usuário uma infra-estrutura para atender esses dados a várias necessidades e sistemas como o balanço de materiais (Sigmafine), planejamento e programação (Orion), ambiente, produção, gerenciamento de ativos, etc Visualização gráfica de dados e distribuição em negócios (SharePoint e PI WebParts) para que todos na rede empresarial possam obter informações instantâneas sobre os processos de refinaria. A jornada em um sistema integrado de informações de refinarias começou conectando ilhas de sistemas de controle em um PCN, construindo uma sala de servidores e um parque de servidores, criando uma zona DMZ para PI Servers e conectando-a à rede de negócios. Após a preparação da integração de dados da infra-estrutura começou por construir conexões OPC para sistemas de controle e interfaces para dados não-processo. As interfaces com dados não processados ​​foram criadas usando PI SDK e Visual Basic, enquanto que o controle de interfaces para leitura de dados e criação automática de pontos PI é feito em PI AF. PI Sistema de dados integrados é amplamente utilizado em muitos relatórios, análise, cálculos e visualização sobre os grupos de grande interesse na refinaria e empresa para alcançar uma melhor percepção e controle dos processos de refinaria. Monitoramento Ambiental de CPMS em Instalações de Transmissão de Gás Natural Apresentador: Zacharie Mupeo. A Southern California Gas Company (SoCalGas) mudou de cumprir as regulamentações de monitoramento ambiental usando mão-de-obra e papel e lápis para um estado do sistema de monitoramento do século 21 em menos de três anos. SoCalGas é a maior utilidade de distribuição de gás natural da nação, eo território de serviço SoCalGas engloba terreno em toda a Califórnia Central e do Sul, de Visalia à fronteira mexicana. Muitas das estações de compressão de transmissão SoCalGas impactadas pelo RICE NESHAPS estão a centenas de milhas de distância da base de controle de gás central e muitas são não tripuladas. Regulamentos adotados em 01 de abril de 2013 impactaram diretamente estas estações de compressores de transmissão. Esta apresentação abrange SoCalGas oportunidade de estabelecer uma base para abordar as regulamentações ambientais, incluindo, mas não se limitando a RICE NESHAPS, GHG, regras do distrito aéreo local e condições de licença do Título V. O Sistema PI é a base para o salto quântico SoCalGas na coleta e monitoramento de dados. Os tópicos discutidos incluem: Redução de 504 horas-homem para determinar o cumprimento do RICE NESHAPS Geração automática de relatórios, consistência de tratamento de dados Uso do MS EXCEL. VBA, PI Ferramentas de Acesso a Dados Estabelecimento de um sistema composto de 6 estações remotas mais estação central para agregação de dados, monitoramento e acesso a dados de estação para pessoal não-estação. Uso de PI-PI sobre WAN Cada estação possui um servidor PI dedicado Utilização de MS Active Directory e Identidades PI, para autorização Racionalização de dados e monitoramento de integridade do sistema Uso de serviços OSIsoft Partner e extensões PI Compliance Assurance Funções como Cálculos, , Anotação de incidentes e relatórios Racionalização de dados e monitoramento da saúde do sistema Estabelecimento de uma infra-estrutura de dados ambientais Capacidade de adicionar equipamentos e medições Alta confiabilidade e disponibilidade de dados Módulo de Validação de Dados Suporta Processo de Tomada de Decisão em Tempo Real CEMEX começou usando o PI System para real - Tempo para operar uma planta de forma eficiente, mas desde então tem vindo a evoluir o seu uso e incorporando dados de qualidade, dados de produção validada, gestão de energia e gerenciamento de emissões. A CEMEX chama essa evolução a Iniciativa de Gestão de Produção de Cimento (CPM), e estabeleceu a arquitetura do Sistema PI como uma plataforma crucial dentro da CEMEX. A incorporação mais recente a este modelo é o Módulo de Validação de Dados. Esse sistema permite à CEMEX coletar dados em tempo real da linha de produção e apresentá-los aos administradores da planta, que podem validar os dados, realizando ajustes em tempo real para as variáveis ​​de produção. Uma vez que os dados foram validados, o administrador da planta pode enviar os dados para a SAP em questão de segundos. Este módulo forneceu valor real, uma vez que fornece dados em tempo real da linha de produção até a plataforma ERP. Tomada de decisão aprimorada através da integração de dados em tempo real e de negócios Esta apresentação fornece uma visão geral de uma Chevron Gulf of Mexico implementação da unidade de negócios utilizando o pacote de software OSIsoft para melhorar o acesso das comunidades de usuários a dados em tempo real com Decisões de negócios mais oportunas e informadas. A comunidade de usuários ea equipe de automação estiveram envolvidas em todas as etapas da implementação do projeto. Uma implementação faseada incluiu upgrades, estabilização e expansão da infra-estrutura existente. A capacidade do software PI AF de combinar dados de processo em tempo real com informações de negócios selecionadas foi a chave para o sucesso do projeto. A apresentação abordará a integração de pontos-chave de outros sistemas (CMMS, alocação de produção, etc.) e os benefícios e limitações do uso do software PI Asset Framework com a integração do PI WebParts no SharePoint. Ele ilustrará como o software usa a navegação baseada em função para reduzir o esforço do usuário, permitindo que eles busquem dados em tempo real através de uma visualização em árvore em vez de procurar por uma variável. Também discutirá as melhores práticas utilizadas para assegurar a sustentabilidade a longo prazo da solução através da definição de front end do processo de governança. Esse processo definiu convenções de nomenclatura padrão para renomear todas as tags e elementos no servidor central e desenvolver modelos e gráficos padronizados para tornar os dados mais acessíveis a todos os usuários e garantir a integridade contínua dos dados. Em conclusão, a apresentação mostra como o PI AF e PI WebParts facilitam a mesclagem de dados em tempo real com dados de negócios para um único shopping para obter informações. Aperfeiçoamento do Processo em Tempo Real e Monitoramento da Operação Petronas Carigali é o braço da PETRONAS responsável pelas atividades upstream do reservatório ao terminal. Para garantir que as operações, processos e atividades sejam realizados de forma eficiente, todos os dados envolvidos devem ser confiáveis, de boa qualidade e em tempo real. Esta apresentação irá explicar os desafios do negócio e como o Sistema PI ajudou a enfrentar esses desafios. A implementação recente na Erb West Platform (leste da Malásia), utilizando dados de processo em tempo real, Limite Operacional Seguro e Limite Operacional Crítico foram realizadas automaticamente em tempo real, proporcionando um ROI significativo em termos de economia de horas de trabalho e tempo de desligamento não planejado. Estrategia de Ventanas Operativas em PEMEX (PEMEX) é a maior empresa do México e uma das maiores empresas de petróleo do mundo. Em uma de suas divisões, a Pemex Refining, o departamento de produção decidiu lançar a implantação do programa Ventanas Operativas (VOs) em seus locais de trabalho, para que o bom funcionamento do equipamento da planta melhore a confiabilidade operacional em suas fábricas. A divisão de Tecnologia da Informação Corporativa desenvolveu uma aplicação com visão corporativa que engloba todas as áreas da empresa, utilizando tecnologia de ponta e totalmente voltada para atender às necessidades dos usuários empresariais. Experiência com a PI Cloud Connect Para a partilha de dados JV A Hess Corporation é uma empresa global de energia dedicada à exploração e produção de petróleo e gás natural. No Golfo do México (GOM), a Hess é operadora de, e tem interesses de trabalho, em seis grandes campos de petróleo em águas profundas. Mais três campos estão em desenvolvimento. Em 2006, a Hess foi apresentada ao serviço Industrial Evolutions WellShare pelo seu parceiro Shell, a JV. Ele usa uma interface do sistema PI para coletar dados, transformá-los e gerenciá-los e enviá-los a um destinatário. Neste caso, foi usada uma interface PI-para-PI para coletar dados do Shells GOM PI System sobre uma VPN segura de acordo com o padrão de segurança Shells, transformá-la em padrão Hesss e servi-la ao Hesss PI System de acordo com seus padrões de segurança. Após o sucesso inicial, a Hess ampliou o uso de WellShare para ativos adicionais e parceiros JV no Mar do Norte, assim como o GOM, alguns dos quais não eram usuários do PI System. Posteriormente, adicionaram o WebTechnician da Industrial Evolution para compartilhar dados em tempo real dos mesmos campos de petróleo com terceiros fornecendo serviços técnicos remotos. Embora a tecnologia e o desempenho da VPN fossem aceitáveis ​​para a Hess, ela representava uma carga de suporte para a organização. Quando a OSIsoft anunciou o PI Cloud Connect CTP, Hess decidiu explorar a sua adequação. Sua idéia era substituir uma das interfaces PI-para-PI, a fim de evitar o uso da VPN. O modelo de negócios da Hesss ainda seria usar o WellShare - em outras palavras, Hess publicaria os dados do PI System para a Industrial Evolution como assinante e não como parceiro da JV. Hess continuaria a contar com a Industrial Evolution para publicar os dados que recebem aos parceiros JV autorizados, delimitando claramente as responsabilidades comerciais e de suporte técnico da Hesss. Esta apresentação descreve as experiências iniciais do Hesss no uso do PI Cloud Connect em um ambiente de produção. Ele abordará questões como a facilidade de implementação, segurança, desempenho e suporte. Implementação do Sistema PI como Ferramenta para Geração de Relatórios de Operações Os campos de produção das indústrias de petróleo modernizaram seus sistemas de controle e medição para tornar os dados de medição e operação mais confiáveis. No entanto, há informações críticas no campo que são coletadas manualmente por relatórios físicos mesmo quando há automação. Time spent by engineers in gathering, setting up and sending this data causes loss of effort and time better spent on analyzing the information. The Operational Management Information System (SIGO for its acronym in Spanish) was developed to optimize operational information management for upstream oil fields in Rubiales and Quifa It takes advantage of automation infrastructure installed in the field and uses the PI System as a tool for operational information management, assurance and visualization as well as reporting and monitoring process indicators available in crude oil production fields. The PI System integrates a PI Server with a data base where historic information gathered manually in the field, data received from oil production specialized analysis systems and data from SCADA system are stored. PI AF is used to organize the stored information. PI ACE is used to optimize information analysis through advanced calculations. PI Web Parts is integrated with a Sharepoint platform to visualize the information in a web environment. PI Data Link makes the information available in Excel. PI ProcessBook displays in graphics the information and PI CoreSight works as a display manager for the web environment in mobile devices (iPod, iPad or iPhone). Improving Operational Performance with the PI System At Wheelabrator Technologies Inc, efficient boiler operation was not a top priority but in todays operating environment, with falling energy prices and decreased waste volumes, the focus has changed. Finding ways to increase efficiency is now more important than ever. PI Processbook displays and PI Datalink reports are used at each facility to assist the plant operator in keeping the steam flow process variable closer to set point since lost steam flow is lost opportunity and cannot be recovered. Dashboards with visual cues created by using the multi-state symbol function allow for tightening of alarm limits and color sets to signify progressive deviation, and allow the operator to know from across the room whether the plant equipment is running OK or not. If youre Running Green, youre good. Other displays have been developed for facilities with river water cooling systems to monitor real-time temperature and temperature deviation as required by permit. Displays such as this allow operators to make informed and calculated adjustments to the heat loading of the turbine generator (which translates into megawatts and therefore revenue) instead of making excessively large load reductions to ensure permit compliance at the expense of lost revenue. The PSION Workabout Pro3 handheld has been rolled out to replace the field operator clipboard. Before the PI System came to Wheelabrator, the operations department would make rounds of equipment with a sheet of paper and a clipboard. That data was not always able to be used in a value added way because it was difficult to piece together trends and inspection data. Flash forward to today. Operation rounds are performed on the handheld, the information is date stamped, the operators name is recorded and it is all stored in the PI System. This makes viewing, trending, and using the data easy, fast and comprehensible. Innovation around the PI System: Paris Water Supply Veolia Environnements subsidiary, Veolia Eau dIle-de-France, manages water production and distribution for the Greater Paris water authority, Syndicat des Eaux dIle-de-France. SEDIF serves 4.3 million residents in 149 municipalities in the Paris region. With close to 750,000 m3 distributed every day, it is the largest water utility in France and one of the first in Europe. Nearly 240 billion liters were consumed in 2012 through a network of pipes 8,230 km in length. In 2011, SEDIF renewed its agreement with Veolia Water the new contract introduced a concept of responsibility and a useful innovation with: ServO. a single monitoring and operation center designed to control risk, to manage customer response, to optimize water production and monitor network distribution. PEEE: to reduce energy consumption and manage emissions and discharges ensure a zero carbon service, a world first for a water service Qualio: to implement water traceability, based on the food and beverage industry model, in order to guarantee customers continuous control of the sanitary quality of their water Teleo: third-generation remote meter reading, enables users to precisely monitor their consumption, thus facilitating leak detection ResEcho: a sophisticated network monitoring and asset management resourcethat enables Veolia Water to maintain an unusually low rate of leaks on all SEDIF water lines The PI system is an important part of the information system of Veolia Eau dle de France. It has become the repository for all real-time measurements. The PI System is both a Big Data and a management system for events in real time, which allows the user to address a multitude of functional requirements for operators and provide interoperability. Monitoring Implementation for Measuring Points and Pipelines of PEMEX Pemex Management of Transport and Distribution of Hydrocarbon North Region has responsibility that extends from the north of the country starting in Burgos Production Management and ending in Veracruz Production Management. Currently PEMEX has a pipeline network of 648 km comprised of gasoline pipelines and oil pipelines, some classified as critical. It also has oil and gas measurement points for custody transfer. Geographic dispersion along with the lack of communication infrastructure, information systems and storage at measurement points and on pipelines hinders proper management of transport and distribution processes by not permitting delivery of continuous and timely information in the administrative offices to allow decisions effectively. To support a strategy for the effective management of hydrocarbon transport and distribution processes a real-time monitoring system was implemented, one that would provide for supervising operating variables of six oil pipelines, three gasoline pipelines and nine measurement points. Data acquisition was performed using Modbus PI interfaces which, through the Pemex network, acquire information from flow computers, flow meters and pressure transmitters installed in facilities and pipelines from GTDHRN. Integration of all variables was done in the local PI Server, where alarm and status variables were created. For data exploitation, display graphics were designed, and monitoring portals for executive users and reports were developed according to customer requirements. Implementation of real-time monitoring of operating information is a tool that enables analysis, evaluation and decision making. Among the benefits obtained were: preventive reaction to unwanted events such as leaks and interruptions pumping real-time data exploitation in ways such as production reports and statistical analysis process to acknowledge operating conditions. Optimizing Asset Reliability with the Health Rating Program This is a joint presentation with three speakers. Scott Larson will provide an overview of the SunCoke Energy PI System and discuss how SunCoke Energy is leveraging their enterprise agreement (EA) to support this program Jason Crum will provide an overview of the coking process and ovens and talk about the overall program objectives and development Wes Alderman, a field oven inspector, will talk about using the PI Manual Logger application in oven inspections and the resulting time savings and efficiencies already realized in the short time the program has been in place. Product Quality Giveaway Reduction Program Supported by PI System The giveaway gap is the difference between the quality of the product and the quality specification. It means that the manufacturer produces better quality product than needed, which has an effect on the cost (lower yield, more energy, higher temperature, more reflux, etc.). The PI System has a first class tool set which can provide professional support to quality giveaway reduction efforts. The most important step is to know (first realize, then monitor) how big is the gap between current quality and the specification. Registering quality specifications to the PI Server and gathering all matched quality information (lab measurements, on-line analyzer values, soft-sensor quality calculations) in Asset Framework helps to filter out off-spec qualities, helps in reducing quality giveaway, ensures easier access to this data for a report or data analysis and provides information for additional procedures. An advanced practice--the so-called Tank Quality Integration--is a very useful application what can provide up-to-date information about key qualities in the product tank. This presentation will explain how MOL, Plc. is using PI System applications and how much they have saved with quality giveaway reduction programs. Realizing Business Value from PI Manual Logger Applications Plant facilities are packed with signals distributed all around the plant. Some of these signals make it to the control room through the different control systems. Others are manually collected, and managing them usually represents a tough challenge that consumes time, cost and effort without achieving the required data accuracy, reliability and quality. Plant operations and other business functions at Methanex requested a solution to collect, archive, visualize and analyze the manually-collected data in an efficient and reliable manner similar to the real-time data managed by the PI System. It is of equal importance to minimize time between data collection and its availability to business network users. Achieving this would improve the quality of the problem investigation process and support the business decision making in a timely fashion. However, these benefits could only be achieved after overcoming the challenges associated with these kinds of tasks dealing with the management of manual data interface. PI Manual Logger (PIML) system (including PIML client and mobile applications) combined with data logger handheld devices equipped with bar-coding capabilities were used. These allow data collection and interface to the existing PI Server. It presented a reliable solution, provided significant cost and effort savings and significantly reduced the time required to make the data available. Now there are 4,500 manual daily readings available for all business stakeholders and PI System clients that use this solution. Plant manual data has become part of the PI System data platform, which enables plant users to benefit from the standard PI System features and make business decisions in real-time. Smart Batch Monitoring with VBA Improves Problem Identification Smart batch monitoring is an effective way to easily identify problems as they occur, and provides engineering and operations valuable time to react to the batch and prevent the problem from propagating into more problems downstream, as well as to provide better visibility for predictive scheduling. Trending problems can also identify necessary maintenance work while the problem is minor, allowing maintenance work to be done on schedule and before major failures. This concept is useful for almost any operation, but is especially useful in batch plants with numerous different recipes which it would be unrealistic to update manually. The PI ProcessBook display uses PI Batch and visual basic coding to show characteristic trends, such as temperature, pressure, progression of reaction, and steam usage, for each batch currently being produced. These trends are overlaid on the recent history of this products production in this vessel using a batch group, and then have a golden batch identified by engineering added to the batch group using Visual Basic (VB). Small deviations such as temperature or a higher than normal steam usage can be indications of a problem such as contamination, off-track reactions, and equipment fouling or fatigue this display makes these deviations obvious. The use of VB coding allows the display to run untouched in the control rooms 247 with operators able to constantly monitor the batches at a level of detail necessary to reliably and quickly identify problems while they are still small. The code refreshes the display every time a new recipe is set to a production vessel in the DCS by changing the product being displayed to match the one that is now being made, and changes the golden batch to this products ideal instance. Supporting Sustainability Operations with Water Management To efficiently manage water operations through discharge of water to the environment is one of the biggest challenges in the Yanacocha mining operation. Unlike at most other mining operations, where Yanacocha operates there is a rainy season seven months of the year, with frequent rain throughout most of the year. Greater restrictions on our distribution, processing and water discharge to the environment mean that these processes become more costly as Yanacocha areas of operations have expanded. The challenge is even greater when the company stores excess water during the rainy season to be distributed and discharged during the dry season as part of its social responsibility. Captured rainwater enters the mine system and requires proper treatment for discharge to the environment. At least 5 million m3 enter the system by rain annually but operations needs only 2 million m3. The total volume of water treatment and discharge to the environment annually is about 32 million m3, with power consumption that exceeds 30,000 mWatts h average. The PI System centralizes data about water entering the system, provides the data to software simulation for the water balance and estimates of treatment, centralizes data from water quality laboratories and laboratory processes for estimates of the efficiency of water treatment processes, and centralizes data on power consumption. This enables Yanacocha to align strategic planning for sustainability and social and environmental responsibility with planning for growth. The PI System, Remote Diagnostics and the Collaborative Supply Chain Presenter: Nick Ward. OSyS, part of the Rolls Royce Group Condition monitoring is the natural bedfellow for the PI System, but it has traditionally been delivered as a deployed solution or remote service. These access the low-hanging fruit in terms of value, but neither option is ideal for collaboration between Operator, OEM and Service Provider. The advent of OSIsofts cloud-based data sharing breaks down barriers and allows companies to realize the harder-to-reach value of condition monitoring across vendors. The new generation of data acquisition, sharing and analytics means that equipment operators can start to move towards a truly risk-managed approach, based on the increased confidence in the predictability of the equipment health and performance. Rolls-Royce is working towards a model of 90 predictability with their PI System. The Power of Data - Different Users, Same Benefit Presenter: Yuelong Su. China National Bluestar (Group) The China National Bluestar (Group) Co, Ltd is centered on the chemical industry and focuses on new chemical materials and animal nutrition. Bluestar has developed rapidly and grown into one of Chinas most successful chemical companies. To stay competitive, the company and subordinate enterprises used the PI System to provide the real-time data infrastructure and collaboration tools they need to meet key challenges. The users explain how they applied and benefited from their PI System. These users include Bluestar site engineers with different roles and company headquarters managers in different departments their applications based on the PI System include tank management, overall unit effectiveness analysis, control method simulation, statistical quality control (SQC) and implementing six-sigma initiatives. Though applied by different users, these successful applications have the same benefit for the whole company: optimizing production and increasing energy efficiency. This is the power of data derived from use of the PI System. Using PI System to Aggregate, Analyze, and Visualize Data Presenter: Robert Lane. Washington River Protection Solutions (WRPS) Washington River Protection Solutions (WRPS) is a Prime Contractor to the Department of Energy (DOE) responsible for the Tank Operating Contract (TOC) on the Hanford Site near Richland, Washington. WRPS is responsible for care and maintenance of the Waste Storage Tanks at Hanford. The Waste Storage Tanks contain chemical and nuclear waste left over from plutonium production since World War II through the end of the Cold War. The Hanford Site is now in a clean-up, preservation, and disposal operation. Upgrading from decades-old, custom-developed solutions presents many challenges that require innovative solutions. Integrating numerous custom and COTS standalone solutions to a PI System-based solution allows for a central data repository that enables levels of analysis, information, and data availability that were not previously possible. Using the PI System for Full-Featured Vibration Monitoring This presentation explores the use of the PI System as the infrastructure for collection and visualization of machinery condition monitoring data, including high-speed vibration waveforms and specialized data presentation formats such as shaft orbits, vibration spectra, bode polar plots, and others. Historically, the vibration data collection rates necessary to allow detailed machinery diagnostics were too fast to entertain use of the plants process historian, particularly when a system was going to encompass dozens or hundreds of vibration channels. As a result, stand-alone vibration monitoring software infrastructures with their own proprietary databases, servers, display clients, security models, and network connections evolved out of necessity to handle the data collection speeds required. However, as the capabilities of the PI System have improved, now surpassing one million tags per second, the ability to treat vibration waveforms as simply another type of time series data in the PI System database has become practical and is already in use at a dozen end user sites globally. Industry Day Presentations Linking Government, Industry and Academia Presenter: Donald Paul,. University of Southern California Professor Paul will discuss dynamics of the technology system, workforce development, and economic growth through the effective interaction of government policies, industrial opportunities, and academic programs as applied to the energy sector. This linkage is of particular importance in the energy sector, where a dynamic balance of economic opportunities, public policy objectives, and environmental requirements are demanded from the system. The combination of large scale infrastructures, large capital deployments, long-lived assets, and technological intensity create the need for a much more integrated and multi-disciplinary approach to effective RD and the development of the future workforce. This is particularly visible in the ongoing growth in the areas of Digital Energy and Intelligent Infrastructures, which represent the major intersection of advancing information and control technologies with the large-scale infrastructures associated with oil and gas, fuel, and electric power. Rapid diversification of electric power generation sources, combined with emergence of the Smart Grid is a specific area demanding new combinations of technology and workforce capabilities. Developing an effective environment to meet these challenges will require forging new and enhanced linkages between government, industry, and academia. Paul will speak on how developing innovative intersections of government, industry and academia is addressing the challenges for energy RD, technology demonstration and deployment, and advancing workforce education and development. The mission of USC Energy Institute is to address these challenges and opportunities by developing partnerships directed at complex, integrated energy systems and infrastructures. USC Energy Institute programs span the range of energy systems from natural resource development to power grid systems operations to the role of consumer behavior in energy efficiency. Programs are focused in particular on demonstrations at scale and providing experimental energy infrastructures to validate advanced energy and information technologies. The USC Smart Grid Living Laboratory was created to utilize the 50,000 person campus community and infrastructure as an experimental mini-city to develop and validate research. Specific research areas include technologies in energy informatics, cyber-security, energy efficiency, human and social behaviors, and electric vehicle system integration. The Marriage of Public Sector and Academia to Attract Companies and Incubate Innovative Ideas Jim Waring, Executive Chairman Co-Founder of CleanTECH San Diego will join Academia Industry Dayto discuss the role a cleantech cluster associationplays in attracting companies and incubatinginnovative ideas across a regional economy. Waringwill discuss CleanTECH San Diegos recent work toimplement the City as a System pilot project in San Diego. Its goal is to deploy data infrastructureacross a citys physical landscape to produce real-time energy usage analytics and recommend energyefficient behaviors based on the data. Ultimately the project will allow buildings to be connected asasingle operational system, which will lower individual and aggregate energy consumption and establishcritical load reduction. The process will also provide rich-data access to researchers and engineers atpartner universities to drive innovation and economic development. Once proven, the goal is to expandand replicate the City as a System model more broadly across the region and other markets. Carnegie Mellon Intelligent Dashboards: From Lab to Market The building environment is an emerging market fordata driven control for energy efficiency and indoor environmental quality (IEQ). Rapid adoption of energy disclosure laws by cities from New York to Seattle, combined with sensor and controller data from building automation systems across the nation, is generating data at a rate the building communitycannot comprehend. OSIsofts PI System data baseoffers a stellar opportunity to absorb these disparate data sources and provide data cleansing, dataanalytics, and real-time communication on multipleplatforms, to instigate action by the building community for energy and IEQ. This presentation will unveil Carnegie Mellons Intelligent Dashboardsatthe Occupant (ID-O), facility managers (ID-F) and citycampus scale (ID-C) that have been taken from labto market testing in collaboration with DOE, DOD, Siemens, university and corporate partners. A Robust Data Management System for Integrating Campus Sustainability Goals Over the last several years UC Davis has been building out a data management system to collect, historize, and report real-time operational data that is crucial for assessing and improving campus energy use and sustainability. The PI System, withits capability to receive data from a variety ofsources, store it efficiently, and provide easy access to data for a variety of clients, serves as thehub forthis system. It provides access to data from numerous campus systems such as building energy and utilities metering and central plant controls and metering. Campus efforts are focused around these initiatives: Standardizing data collection and quality control processes across operational units Automating reporting to help decision makersoptimize operations Collaborating with sustainability research efforts using the campus as a proof of concept Integrating use of campus data into academiccurriculum Expanding the system to incorporate other campus data including occupancy-based building lightingcontrols, HVAC control systems, smart thermostat feedback, and campus water and wastewater systems Developing a cutting-edge interface for data visualization On the last point, the campus has already deployed a web interface that uses the PI system data from both the building energy metering and a smart thermostat system to provide energy feedback todormitory residents through an energy competition. Work is underway to expand this feedback systemto include interactive building energy usage displays to engage building occupants across the campus. We are exploring more ways to visualize and analyze building energy usage to encourage stakeholders across campus to conserve energy. Ideas on Integration of OSIsoft Into Chemical Engineering Curricula This talk will summarize the status of data education in chemical engineering curricula, providing examples where data are not covered at all to some examples of the efforts of dedicated faculty to including data in the curricula. It will discuss why existing engineering curricula have little coverage of data and why this situation is difficult to change. The last part of the talk will describe efforts at MIT to train chemical engineering students to analyze and make decisions based on heterogeneous data sets ranging in size from small to very big. The talk will describe ideas to integrate OSIsoft into other chemical engineering curricula, including (1) development of insertion modules with clearly defined learning objectives and with varying time commitments, (2) making tutorial visualizations and remote software operation available to universities, and (3) supporting ldquodata advocatesrdquo within specific programs to develop and evaluate insertion modules. Microgrid: A New Hub in Energy Infrastructure Microgrids are small-scale versions of centralized electric power systems. They achieve specific goals of distributed power systems, such as reliability and self-healing, sustainability and diversification of energy sources, and energy efficiency and cost reduction, established by communities in various parts of a large power system. Microgrids integrate renewable resources at the community level and allow for customer participations in the operation of an electricity infrastructure. Microgrids form the building blocks of perfect power systems which promote real-time pricing and demand response, and applications of smart grid to the distributed control of electric power systems. This presentation will highlight some of the key issues with the design and operation of microgrids and discuss the role of recent innovations and, in particular, the significance of smart grid applications to power system operations and control. The presentation will also discuss the development of a microgrid funded by the U. S. Department of Energy and implemented at Illinois Institute of Technology. Global IEEE activities for promoting smart grid technologies will also be discussed. Predictive Analytics for Real-time Energy Management and Dynamic Demand Response The University of California, San Diego (UCSD) is owner-operator of a 45 MW peak load Smart Grid and one of the first adopters of many Smart Grid technologies, including multiple renewable and non-renewable energy generation resources, significant energy storage, and sophisticated monitoring for controlling flex-demand loads for a community of 54,000 energy consumers. UCSD owns and maintains a 69 kV substation, ninety-six 12kV underground feeder circuits and four 12kV distribution substations throughout the 1200-acre campus, and has a master controller and optimization system creating the city within a city. Advances in technology have led to an unprecedented ability to collect and store data. Harnessing the real-time streaming sensor data from modern smart grids via advanced processing, modeling, optimization, real-time forecasting and analytics is a major challenge due to the sheer volume, complexity, and rate of data acquisition. UCSD and PACEs Big Data analytics and energy sustainability researchers are utilizing the existing fully functioning UCSD Microgrid to perform predictive analytics on both the real-time and historical time-series data for developing models for detailed load forecasting, load shaping and demand response, all aimed at driving campus-scale energy efficiency. This data-driven approach aims to leverage the predictive analysis of resource consumption, renewable integration, economic activity and human behavior patterns to improve campus sustainability and efficiency. Building the Perfect Plant: A High Tech Approach to Supporting Low Cost Bioprocessing Plants The biopharmaceutical manufacturing industry is experiencing an inflection point. Competition, price controls, globalization, biosimilars and technology shifts have resulted in a new approach to building and operating manufacturing facilities. nAmgen is on the leading edge of this change, building new more flexible facilities and retrofitting existing plants to be more efficient. The result is a highly automated shop floor with integrated systems that are both faster to startup and require fewer ongoing resources to maintain. To achieve these goals, Amgen is identifying a standard IT architecture and integration approach between MES, DeltaV, OSIsoft, and other systems to streamline the flow of manufacturing data in support of electronic batch records and continued process improvement. The presentation will discuss this architecture and its benefits over traditional IT deployment models previously leveraged at Amgen plants. Enablement and Standardization of Advanced Process Data Technology with EA Sanofis Rare Disease subsidiary Genzyme is embarking on a process data analytics initiative to improve processes in manufacturing. Sanofi is also embarking on a core standardization initiative in Manufacturing Quality Operations, with the goal of streamlining the implementation process for new manufacturing technologies across their network. Nick Alexiades will discuss these initiatives and describe how the recently signed Enterprise Agreement will help enable these and future initiatives within Sanofi. Lean Validation as Part of Standard OSIsoft PI System Deployments at JampJ Within the regulated industries, the OSIsoft PI System can be considered a GMP critical application. In the past, OSIsoft PI Systems were validated according to each sitersquos local procedures. This presentation will explain how JampJ came to a common and lean validation approach across the organization, based on industry and computer system validation standards. It will also discuss how they gradually implement the approach as part of a standardized deployment of the OSIsoft PI System. Custom DeltaV PI System to Provide Plant Redundancy A pharmaceutical facility had lost a batch, a multi-million dollar loss, due to a DeltaV Embedded Historian failure. Review of the feasibility of redundant historians showed options were cost prohibitive. The user needed a robust architecture that implemented available OSIsoft redundancy features and was compatible with the DeltaV Control System. After reviewing OSIsoft and Emerson recommendations, the integrator designed a unique solution to meet business needs. The implemented Enterprise PI for DeltaV using Redundant Interfaces, PI High Availability and Virtual Servers, then completed this project during a brief plant shutdown and parallel with multiple site enhancement projects. This required extensive design, accelerated deployment, and cross-functional collaboration. The resulting solution prepares site for future expansion and reduced risk of batch loss. At Kellogg, Savings Are in the Air This presentation is based on significant potential savings realized after analyzing historical PI System trends which showed that inefficient air compressor control systems operation caused excessive electricity consumption. Conservatively estimated savings potential easily justified new control systems integration. After project completion, new energy reduction opportunities were realized based on improved system trending in the PI System. A new project captured these additional savings as well as justifying custom incentive pay back from local utilities. This resulted in repeatable total electrical reduction of 2.65M kWhyear and a one-time payback from the local utilities of 265k, far exceeding the initial savings calculations. Path to a Unified Data Infrastructure This presentation will show the path Biogen has taken since moving from pre-2010 PI System to their current, unified data infrastructure. Biogen has moved the role of the PI System from a data historian for compliance reporting and trending to a problem solving and problem-avoidance tool. The presentation will discuss ways they used Asset Framework, ACE calculations and Web Parts in their PI Systems for cGMP, Pilot-Scale Manufacturing and Facilities. The PI System makes scale-up from product development to manufacturing easier, monitoring facilities to provide pro-active maintenance and keep facilities in a compliant state. How Corning in Kennebunk Uses PI System Data Presenter: Ryan Dube. Corning Life Sciences Corporation In this presentation, I will provide a number of examples that show the variety of applications for PI System tools such as PI notifications, the PI Ping interface, PI SQC charts and alarms, and more. The focus is on PI SQC and how utilizing SQC charts and alarms can help manufacturing facilities not only bring manufacturing processes into control, but it can also help technicians and engineers predict when problems are about to occur - providing an opportunity to be proactive in preventing problems with the machine before they even occur. The presentation also touches some on how OSI PI can even be used in IT to monitor servers, IT assets and more - an application of the PI System that often goes overlooked. RtReports - A Bristol-Myers Squibb Perspective This presentation will showcase the BMS implementation of RtReports and the values we have been able to derive from this product. A users perspective of RtReports will highlights this product strength and some opportunities for improvement. Beyond the product offering we will explore areas where the core strength of RtReports could be leverage to fill some unmet needs around batch queries and advance analyses. Value from Data - applying MVDA for real-time monitoring and prediction. Presenters: Speaker: Domenic Schimizzi, Genentech Petter Moree, Umetrics This presentation will showcase the BMS implementation of RtReports and the values we have been able to derive from this product. A users perspective of RtReports will highlights this product strength and some opportunities for improvement. Beyond the product offering we will explore areas where the core strength of RtReports could be leverage to fill some unmet needs around batch queries and advance analyses. Curtailments, Stoppages and Other Ways to PI Event Frame the Wind Collecting and analyzing data from 60 wind farms can make any data mining task daunting. For one aspect of data that gets seen by several areas of the business, Iberdrola Renewables has added PI Event Frames to help bucket these occurrences and start making it easier to analyze implications of these events. Curtailments are a major factor for wind energy producers in the US. Use of PI Event Frames that trigger based off of a PI Attribute (utilizing regular PI Data) has made it possible to quickly draw out more information. By creating PI Event Frames for Curtailments, Iberdrola quickly gets an estimate of power lost during the previous month (or even the last week) whereas before it would take a team and multiple days to get to the same point. While the data still needs to be scrubbed, having the initial information available in near real-time is a huge step forward and we are still finding new ways to utilize the data. ACE is used to generate the Event Frame, and in doing so some back-end calculations are run as the event frame is created and closed in order to help get expected losses over the time frame. As more people at Iberdrola Renewables start using this, they expect to add monetary calculations in real-time using the pricing data available in the PI System. Currently this information is utilized by the Performance Reporting Group which looks at the costs of curtailments and ensures that Iberdrola is getting paid correctly during these events and the Technical Division which looks for ways to improve overall operational efficiency. As Event Frames are proving useful, Iberdrola expects to add stoppages to the AF Server. Trends in Solar Performance Monitoring This presentation will address performance monitoring trends in the rapidly growing solar power industry. As the industry matures from small rooftop applications to large utility-scale central power stations, requirements around plant monitoring and performance optimization have also grown. Content will include a state of the industry overview followed by a discussion of why the PI System is needed and how it is being used to meet the scale and velocity of project additions in North America and throughout the world. The presentation will conclude with case studies using PI System-based monitoring to perform automated fault detection of commercial and utility-scale PV power systems. In addition, the unique challenges of providing a multi-tenant application suite (multi-customermulti-user) will be addressed and how to think about a scalable and secure architecture to meet this complex requirement. Fleet Optimization through Process Information Monitoring power plant performance in real-time is essential to stay competitive in market based bulk electric system. Maintaining equipment reliability with dwindling resources, regulatory and environmental compliance are some of the challenges electric utilities face today. DTE Energy has been addressing these challenges with effective use of technology turning data in to actionable information. Using its lsquoTechnology Frameworkrsquo as a roadmap, DTE Energy has implemented several layers of technologies with PI System data as their backbone. The amalgamation of people, processes and systems at the fleet-wide monitoring center using real-time operational data, predictive monitoring and market interface is helping DTE Energy to meet these challenges. Value of Asset-based PI System in Power Generation This presentation demo will show the value of PI AF, PI Event Frames, PI Notifications, and PI Coresight within the context of a real world Power Generation scenario. Technology Innovation and Condition Based Monitoring The power generation industry is under pressure due to increased competition and market uncertainty. Plant staff are developing new, innovative ways to monitor power plants by leveraging technology to improve safety and efficiency. Exelon Nuclear is the leader in developing new and innovative technologies and better utilizing plant experts. One such method is their Advanced Monitoring Technology that monitors plant performance in real time with the use of the PI System that helps plant staff to make timely decisions. Real-time monitoring coupled with diagnostic tools reduces the burden of data collection for plant experts. Staff spend their valuable time in data analysis and decision making. The Exelons Advanced Monitoring program has three major elements: 1) On-Line Monitoring 2) Wireless Equipment Monitoring 3) Prognostics Health Monitoring The On-Line Monitoring program is an analytical tool to identify plant anomalies at incipient stage. The tool pulls real-time data from the PI Systems data historian and performs analysis. Appropriate staff is alerted to any anomaly identified by the tool via email. This program proved to be a paradigm shift for plant monitoring and trending. The wireless equipment monitoring has provided a new avenue to add smart sensors on plant assets. The additional sensors have helped improve plant safety. The technology has paved the way for Condition Based Monitoring. The ultimate goal of this effort is to optimize preventive maintenance program. The additional sensors will provide opportunity to utilize PI Asset Frame and PI Coresight. The PI notification will be used to warn plant staff of changing plant condition. Exelon is collaborating with OSIsoft to effectively utilize PI advanced features. The Prognostic Health program is an innovative technology to predict equipment health. This will be great tool for Knowledge Transfer and retention and troubleshooting. Analyzing Outage Impacts Using PI Event Frames and Versify NaturEner is a wind developer and operator with 399 MW of operating wind in Montana. These farms operate in relatively remote areas of the grid, and can therefore be constrained by regional transmission system outages. These outages can be caused by a variety of entities, and can have significant financial and operational impacts. Therefore, it is of interest to NaturEner to monitor the frequency, magnitude, and causes of these events for the purpose of monitoring the impact and determining if mitigation is required. NaturEner is currently utilizing the Versifyrsquos V-Performance Outage Management application in the system to log and manage turbine and wind farm outage events. These outage events are fed into PI Event Frames using Versify APIrsquos that leverage PI Enterprise OLEDB and OPC drivers. Using these event frames combined with operational data managed in PI, NaturEner builds queries and reports that easily summarize and categorize the energy lost to planned and unplanned outages. In addition, these event frames are used to evaluate operational procedures, such as the re-energization process after an outage, where data is queried and reports generated to assess plant performance. Understanding the impact of outage events on generation is essential for NaturEner in maximizing profits from our wind assets. NaturEner is a renewable energy company that has developed hydro, wind and solar utility-scale renewable energy projects in North America and Europe since 1999. NaturEner currently operates solar and wind power generation projects and has invested more than 800 million in North America since 2006. Alarm System for Structural Monitoring of Itaipu Dam Using PI System With the increasing use of technology for data analysis in complex systems, as often occurs with dam safety, it has become plausible to implement a system which performs analysis of the measuring instrument data and generates alarms concerning the structural situation of the Itaipu Binacional dam. In Itaipu, there are approximately 2,400 instruments, of which 270 are totally automatic, with readings taken every 30 minutes and positioned in key blocks of the dam. The readings from these instruments provide the data that is stored in real time in the PI Server and remains available for reading and analyses. The data stored in the PI Server is analyzed with the objective of generating alarms representing the structural situation of the Itaipu dam. For this data analysis and generation of warnings the technique applied is that of the Fault Tree Analysis (FTA), a logical and deductive process that, starting from a predefined and undesired event, seeks the possible causes of said event, creating the relationships through simple logical operators (AND, OR, etc.). The failure tree structure, due to its hierarchical characteristic, is implemented by the use of the PI AF. The relationship of the logical operators is represented in the PI AF through the Formula option in the Data Reference of the Element. The nodes that represent the instruments are linked to the corresponding Tags in the PI Server through the PI Point option. The PI Notification is employed for sending the alarms, which define the elements of the PI AF that shall represent the faults and create the Triggers and alarm criteria, in accordance with the attributes of this element of the fault. Those responsible are previously registered in the system, listed in the tab pertaining to Contacts of the PI System Explorer, and receive an email with a description of the fault that occurred and the principal information to support the taking of decisions. Use of PI System in the Electric Energy Management System of Brazil The user will explain the architecture of the new EMS Network ( REGER) in use by the Brazilian Electric System Operator (ONS) and the use of PI Systems to support real-time decisions, post-operation monitoring and analysis of problems in the generation and transmission system. The Automation of Converting SCADA EMS Displays to PI WebParts The System Operations Department of Pepco Holdings, Inc. had a homegrown web server that provided users access to near real time SCADA data and the ability to view historical data using EMS display formats. After migrating to a newer release of the EMS, corporate users no longer had access to these displays. The PI System had been used to store EMS historical data for several years however, users had to use a manual process for building ProcessBook displays andor DATALINK to view historical and current data. Corporate users were accustomed to viewing SCADA data with the look and feel of EMS displays on the web. They were able to view historical data with defined schematics of a one line diagram and navigate throughout the website. Obviously, the majority of corporate users do not have access to the EMS. Engineers and interested individuals wanted to continue to see and use this data for troubleshooting, research, decision making, studies and planning. A centralized approach was needed to allow streamlined administrative maintenance, easy access and navigation, user validation and authentication. With this business challenge in mind, a technical solution to the problem needed to be addressed. With EMS licensing and compliance limitations, a PI System with PI WebParts, and MS Sharepoint was the obvious answer. Real-time data that was stored in the PI System needed to provide a less challenging way of being utilized without having to use OSIsoft tools to build and format this data so that it would be useful. An automated process to take EMS displays along with system specific data link definitions and translate or convert this information to a format usable by PI WebParts was the solution Real-time Event Detection of Microgrid Dynamics The University of California, San Diego (UCSD) microgrid control system includes PMU measurements at the point of common coupling to the area power system, San Diego Gas and Electric. Measurements include data on both sides of the 69kV12kV main transformers as well as from buildings located at various points on campus including the Scripps Institution of Oceanography located the far western edge of the campus. The PI System collects real time data from the PMUs, computes real time angle differences and automatically detects real time events. This presentation outlines an event detection mechanism based on adaptive moving average and rate of change filtering as well an on-line method of automatically determining the dynamic characteristics of the microgrid. Results show that the microgrid has less than desired damping at certain critical frequencies. A control system is proposed that could dampen the oscillations using battery-based local energy storage systems on campus. PI AF amp Notifications in Distribution Operations Presenter: Khoa Vo. San Diego Gas and Electric SDGampE Electric Distribution Operations utilizes the PI System to integrate the distribution SCADA with data on wildfires, lightning strikes, and weather to provide real-time situational awareness for control room to board room. This presentation will show how the PI System--specifically PI AF, Coresigth and PI Notifications--dramatically changed the way that the utility runs distribution operations by allowing SDGampE to: Monitor all real-time and historical telemetry reads from circuits, switches, breakers, banks, etc. with PI Coresight, PI ProcessBook, smart phones Monitor status of switching operations and provide proactive remediation capabilities Send real-time notifications to assigned groups to correct any issues, such as telemetry reads, device status, communications, etc. in early state Plan, manage and monitor load curtailment in the event of crisis Play-back events and provide lsquorecreation of incidentsrsquo or lsquosequence of eventsrsquo for root-cause analysis or identifying failure of distribution assets Provide early-warning of natural events or disasters (storms, wildfires, etc.) Use advanced weather instrumentation to monitor real-time wind direction, wind speed, wind gust, temperat ure, and relative humidity The PI System has enabled SDGampE to significantly improve the efficiency and effectiveness of electric distribution operations monitoring and awareness and ensured customers safe, reliable energy and improved quality of life for all of the SDGampE service area. Web-based Visualizations with the PI System at PGampE Electric Distribution In 2013, PGampE invested in a Fault Location Isolation and Service Restoration (FLISR) system across the electric distribution system. To allow multiple operation and engineering groups to monitor and troubleshoot the FLISR system, PGampE leveraged the PI System to capture SCADA data in real-time. On the front-end, PGampE built a web-based HTML5 interface that allows users to monitor real-time single line diagramsdevice trends in the PI System through their browsers and email specific links to colleagues. On the backend, the PI AF database integrates with PGampErsquos Distribution Management System (DMS), allowing any connectivity and asset changes in DMS to update circuit configurations in the PI System, reducing long-term maintenance. This presentation will demonstrate PGampErsquos PI web portal, including the HTML5 user interface and integration with DMS. DobleARMS and PI System Bring Standards-Based HV Asset Management to TVA The Tennessee Valley Authority, plans, builds, operates, and maintains, part of the electric power system in the United States. This network comprises the keystone of all other critical infrastructures in the United States. The equipment and subsystems that comprise the power system are aging at an alarming rate. The 500,000V power system, which makes up the backbone of bulk transmission system, will turn 50 next year and extend the problem of asset revitalization to these capital intensive assets. This comes at a period of shifting load patterns and changes in generation strategies that are calling upon these aging assets to perform to their limits. Additionally, increases in costs to the utility as well as a host of other drivers are making the competition for capital resources fierce. To optimize both its CAPEX and OPEX resources, as well as better understand and mitigate risks associated with management of its transmission assets, the TVA is moving towards a near real-time asset health process. To help enable this vision, TVA is partnering with Doble Engineering Co. to pilot their dobleARMS solution. dobleARMS, through its use of OSIsoft technology to include the PI System and AF-SDK, provides a method for standards based integration that leverages information from disparate enterprise datasets, online monitoring, and protective relaying that eases the burden of integration while providing actionable near real-time information about its assets. The goal is for this information to be used across the enterprise, from allowing the system operator additional insight into the health of the transformer to helping the planner to optimize OPEX and CAPEX work and up to the executive to better manage asset risk through replacement strategy. Welcome, Logistics, and Agenda Review The session opening will establish context and prepare attendees for the day. After a brief welcome, the theme of quotDecision Ready in Real-time: Enabling the Shale Revolution with the Power of Data and Informationquot will be discussed. The agenda will be reviewed with the associated logistics, concluding with an introduction to the session keynote address Proactive Critical Rotating Equipment Monitoring for Upstream Safety and Production Operations Talisman Sinopec Energy UK has used the PI System since 2001 when it was first installed for surveillance of a single subsurface well. Over the last 13 years, their PI system has evolved to become a strategic element of Talisman Sinopecrsquos technology landscape as an integration and applications infrastructure, validated with the signing of an Enterprise Agreement (EA) by Talisman Energy in 2012. There have been many PI System-based applications and solutions added over the years in the areas of process and well surveillance and single source data to hydrocarbon, chemical, and corrosion systems. However, one recent application based on the PI System has delivered significant business value around proactive monitoring of critical safety and production rotating equipment assets. This presentation will overview the history, implementation, and benefits of Talisman Sinopecrsquos Rotating Equipment Excellence Programme (REEP). It is focused on improving reliability and integrity, and reducing production losses from critical rotating equipment failures. Currently, REEP monitors 100 pieces of critical rotating equipment. The presentation will focus on the role the PI System plays, including use of PI-AF, PI-ACE, PI-PE, and PI-Notification these will be illustrated by screen shots and data flow diagrams. Realizing Value with PI Coresight in Heat Recovery This presentation will describe how SunCoke Energy has been able to use the flexibility gained with an EA to provide access to PI Coresight for all their users. It will describe the SunCoke PI System and discuss the EA signed in 2012, and then get into how Middletown Operations utilizes PI Coresight to bring value to the business. The operations section will cover how different PI Coresight displays were created to review oven push cycles and how steam and power generation is affected, as well as how the system is used to track and order chemicals for the plant. PI Coresight is utilized in operational troubleshooting of issues, training of new operators and enabling other plants to compare real-time data. PI System for Reliable Environmental amp Sustainability Management Corporate sustainability strategies are implemented and progress measured through sets of key performance indices (KPI) such as emissions of greenhouse gas (GHG) and other pollutants that are of interest to stakeholders. With the financial risks caused by GHG emissions cap and trade programs, companies must closely monitor the process data essential to accurately quantify emissions. Reliable real-time data from the PI system can help companies to minimizemitigate business risk associated with measuring and reporting environmental performance. In addition, many environmental regulations set short-term (e. g. hourly) limits for emission source quantification that can be effectively tracked via process data available in the PI system. Most plants monitor and track emissions indirectly with process data parameters andor extract process data to calculation tools, such as Excel spreadsheets, to determine release quantities and demonstrate compliance. If there are quality issues in the original PI process data due to instrument malfunctions, process shutdown, etc. engineers must manually correctreconcile the data for compliance demonstration. The process may require significant effort and can delay generation of necessary reports. In order to provide reliableactionable data to enable plant environmental teams to properly and quickly respond to any excursion or deviation of environmental limits, the source data must be validated and reconciled in real-time. The ldquostatusrdquo of the critical PI tags applied for environmental monitoring and tracking often can be validated based on other process operation indicators and the results are stored as digital state status tags. After the status is established, a filtered or reconciled PI tag can be generated using the good raw data or a reconciled value based on process knowledge. This has the effect of eliminating or minimizing variable discontinuities and proffers the most accurate available information for environmental monitoring and decision making. With reconciled PI data, subsequent environmental calculations configured in PI performance equations can be executed to provide real-time environmental reporting data. The resulting environmental data are most reliable for the development of meaningful sustainability strategies. The readily accessible data also allow companies to actively and immediately compare against regulatory limitations and quickly take actions to mitigate problems. This real-time data validation and reconciliation process has been successfully implemented at a large gas processing plant in Qatar, which requires various reports, which involve continuous emissions monitoring systems and flare events. The environmental team is able to generate reliable environmental emission reports with 100 reconciled PI data. This data treatment process can be applied by all companies using the PI System to general reliable data for all critical business and environmental measurements. Time and Depth Based Analytics and Visualization in the PI System In upstream OampG the performance of depth-based analytics and visualization is a critical function for subsurface activities like drilling and well performance optimization. While some depth-based data sets require WITSM-based applications and solutions to perform full analytics and visualization, there are many situations where the PI System coupled with Microsoft BI tools can provide insight into subsurface data. This short presentation will discuss techniques to transform time-depth-measurement data sets to depth-time-measurement data sets that can be used for analytics and visualization. Examples will be discussed to illustrate key concepts and techniques. Integrating Predictive Models and Microsoft BI - A New Age in PvA Analytics While the ability to integrate future data from planning models as tables in PI-AF and do PvA analytics and visualization, the functionality and capability has been problematic. With the forthcoming release of future data storage in the PI Data Archive, coupled with advances in the PI System data access capabilities and Microsoft BI tools, the ability to perform model integration and plan vs. actual (PvA) analytics and visualization is improved significantly. This short presentation will discuss ideas and concepts of advanced PvA analytics, visualization, and BI using future data, PI-PSA, and Microsoft BI tools such as Power View and Power Pivot. Fundamental to doing this is using the underlying PI-AF to help organize, contextualize, and abstract the future data from an external model (Plan) and actual data. Update on Development of Key PI System Interfaces for Oil and Gas Effort continues on development of two critical interfaces used in the upstream Oil amp Gas industry: PI Interfaces for CygNet and for Wonderware Historian (previously known as Wonderware InSQL). Also, thoughts around collecting data from the WITSML will be discussed and augmented by Industrial Evolution, who will share their experience with WITSML data. This brief session and associated discussions will provide an update on high level functionality, development efforts, and status of each. The goal is to provide awareness and transparency for those interested and to solicit input about the interface functionality to support decision making. Using Data and Information to Help Solve the Sustainability Equation Industry and government forecast project global energy demand to rise by almost 40 by 2030. This unprecedented opportunity for the OampG industry is matched by heightened scrutiny and growing demands for transparency from government, investors and consumers. In turn, more OampG industry participants are collaborating closely with their respective suppliers, partners and contractors to address these multiple evolving challenges. Many companies now view their sustainability strategy as an engine for new ideas to bring to this conversation to deliver on goals to improve productivity, grow shareholder value, reduce business risk and control costs. This panel will discuss the role data and information play in the sustainability equation as it relates to topics including pipeline safety and integrity, water use and impacts from fracking and emissions management. The panel will be moderated by Mr. Andrew Fanara, OSIsoftrsquos Sustainability Market Principal who will be joined by thought leaders sharing their expertise in a facilitated panel discussion and QampA with the audience. Attendees will gain valuable insight to better understand how to leverage their PI System to support their companys sustainability initiatives. Report of Findings: Collaboration with Industry Partner OSIsoft in Development of Energy Management Technology Learning Laboratory for Academic RD Purposes Institute for Energy and Environmental Sustainability (IEES) at Palm Beach State College will provide a review of 3-year findings with specific attention directed to invention of an Energy Management Technology Living Learning Lab (EMT-L3) developed in close collaboration with industry partner OSIsoft. This review will consist of examination of the instructional design plan, scope of work required to accomplish goals, examples of activities, statement of best practices and lessons learned. In sum, the education training of a highly-reliable and proficient Smart Grid workforce is strongly dependent upon identifying the occupational tasks to be accomplished and the knowledge, skills, and abilities needed to perform those tasks. With support from OSIsoft the EMT-L3 allowed professors and students to work with industry as co-constructive partners to learn precisely what is required of the STEAM professional in the real-world setting. It is estimated that by year 2030 that 13 Trillion dollars will be invested in global energy infrastructure and 1.5 Trillion in the United States. The question is whether these monies will be spent on replacing existing facilities or a modern smart grid. The smart gird model is generally envisioned as a complex digitally-enhanced network of systems involving the convergence of three major industry clusters: Electric Power Utilities, Telecommunications and Information Technology. Its success dependent upon the adoption of interoperability standards to create a national end-to-end electric power delivery system that is fully-automated, reliable, flexible, self-healing and secure. Recognizing this challenge, the Institute for Energy and Environmental Sustainability (IEES) at Palm Beach State College with support and funding from U. S. Department of Energy and IEESs industry partner NextEra EnergyFlorida Power Light has developed and tested curriculum instructional models for Smart Grid workforce education training. One of the primary achievements of the initiative was the development of Living Learning Labs to provide students with performance-based experiences to maintain a smart electricity delivery system, with due diligence given to issues important to energy generation, power transmission distribution, integration of renewable energy, energy storage and microgrids. Enabling Connected Vehicles Connection to a Cloud Infrastructure Both government and the trucking industry (specifically owner operators) have an acute need for real time data. Provision of real time date will enhance mobility, facilitate electronic payment, improve transportation asset condition monitoring, reduce resources required for system maintenance and increase the availability of information for performance measurement. The government in its recognition of the value of the trucking industry to the economy has undertaken two broad approaches in its vision of the connected vehicle infrastructure: Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I). For increased mobility driving factors are: (a) more efficient use of capacity (e. g. adaptive flow control), (b) more accurate and timely traveler information (c) reducing impacts of incidents on traffic flow (d) increasing reliability of freight movements and transit schedules. Improving speed and accuracy of electronic payments within the transportation infrastructure will contribute to enhanced mobility and reduction in cost of operations. To achieve meaningful results, owner operators, the government, suppliers and customers within the transportation sector must have (a) access to publicly gathered or generated data through an effective application to manage paperwork and other administrative costs connected to managing Invoicing, Repairs amp Maintenance, IFTA reporting, Payments, Dispatch, Navigation, Routing, Paper logbooks, Drivers, and (b) devices to be installed in commercial and publicly maintained vehicle fleets. Connected vehicle system capabilities will provide opportunities to improve the density, accuracy, completeness and timeliness of data collection for system management applications and drive analysis of performance measures and planning. The key components to all of this are (a) real time data capture and management (b), creation and expansion of access to high-quality, real time, multi-modal data from connected vehicles (c), providing real time monitoring and management tools based on V2I connectivity. The U. S. DOT under the Federal Highway Administration (FHWA) and the Federal Motor Carrier Safety Administration (FMCSA) is developing the ldquoSmart Roadsiderdquo initiative as part of the V2I program with desired capabilities of (a) Real-Time traffic, weather, special event, truck parking information shared with drivers (b) Vehicle sensor data collected at the roadside shared with private vehicle maintenance providers (c) unique vehicle identifier shared with enforcement agencies (d) routing clearance information shared with drivers (e) Origindestination information shared with stakeholders to determine routing information (f) real-time drivercarriertruck information shared with enforcement agencies. This white paper will look into a case study that demonstrates how PI System will be used in the government V2I program to address real time data needs in terms of analysis, historization, visualization and delivery to the primary constituents, such as owner operators, suppliers, customers and the government through the various regulatory bodies that oversee the trucking industry. The case study will look at the value of OSIsofts PI System operating in a cloud setup on the Microsoft Azure platform as part of the V2I infrastructure. It will showcase PI Systemrsquos new capabilities, advanced analytics, visualization to owner operators in improving time management for drivers, routing efficiencies, cost management, revenue optimization and logging accuracy.