• IOT Opportunities for Industry 4.0 - Metals

    In This session, HZL will cover their viewpoint on Industry Challenges – Metals, Miningand Opportunities Available in Market. Solutions Available in Market & it needs to scale it up to meet customers expectationsPI System usage at HZL and how it is helping to drive business levers i.e. Efficiency, People, Asset and Cost ...
    Year: 2019

    Delivering Value from Realtime Data Infrastructure to Achieve Operational Excellence(1)

    In this session, Shell will share their journey with PI System & their experiences of using PI system as a Realtime Data Infrastructure. Explain high level Realtime Data Architecture at Shell integrating complex realtime systems, IT systems across all upstream, mid-stream and down-stream operations. Data Contextualization and standardization helped for faster deployment across Shell Operations including adapting new Technologies.
    Year: 2019

    Digital Transformation and Enterprise Infrastructure Approach(1)

    In Part 1 of this technical keynote, we cover PI System's role as the backbone of an open data infrastructure in your digital transformation journey. In asset intensive industries (oil & gas, power generation, renewables, metals & mining, pharma, cement etc.), OT - operations technology - data includes SCADA, IoT, machine condition, MES and any other meta data that adds context and enriches instrument/sensor measurements. With a layered approach to fit-for-purpose analytics, the PI System enables your digital transformation to evolve through descriptive/diagnostic/predictive/prescriptive operation or reactive/preventive/predictive maintenance, and others. We will use illustrative customer examples and demos to walk you through the scenarios. The talk will also include new OSIsoft technologies in the roadmap - edge data store (EDS) and OSIsoft Cloud Services (OCS).
    Year: 2019

    Automated Report, in Chinese

    Automated Report, in Chinese 2020-07-21 Chengkui Peng OSIsoft ...
    Year: 2020

    Séminaire régional virtuel - Afrique du Nord - Comment améliorer la performance industrielle avec l'infrastructure de données


    Year: 2020