• The First Steps of Adding Intelligence to Your Facility

    The marketing hype around the Smart Building or the Smart City talks about the new wave of technology and the interconnection of every device and a utopian mesh of data that will magically change our world. While this sounds wonderful, how do we get from where we are today to taking our initial steps towards this future? The building blocks are already in place for the digital facility. Creating the digital/smart, facility, campus, or city takes the right technology deployed by the right integrator to connect and normalize the data, and put the algorithms for decision making in place. In this webinar, you will learn:The value of separating control systems from data to provide protection from increased risk of cyber threatsHow to add data that is IoT device basedHow to provide validation that the cost of adding to your BMS is not justifiedThe importance of pooling data and the power of a single pane of glassUnderstand the difference between Energy Dashboarding and a Fault Detection System ...
    Year: 2018

    BASF Reliability Center for Remote Condition Monitoring to Improve Plant Availability

    In 2016 BASF introduced a Reliability Center for remote condition monitoring. The overall goal is to optimize plant availability and predict failures of chemical production plants around the globe. The Reliability Center offers a proactive condition monitoring service to all ...
    Year: 2018

    Transportation Industry User Group - Meeting, Updates, Discussion

    Industry Meet-Up: (Manufacturing, Supply Chain, Transportation) OSIsoft is hosting a meeting for the Transportation Users Group. Agenda: * Introductions * Users Group update * Showcase: New and interesting applications in the transportation space * Group discussion: Our attendees select the most important topics for group ...
    Year: 2018

    PI System as MES for BALCO

    Aluminium coil being central product of BALCO in terms of production and revenue, we wanted to improve quality and reduce customer complaints on deviating coil parameters. In absence of real-time data on coil parameters, there was little control over quality ...
    Year: 2018

    Case Study: Short Term Demand Forecasting Methodology for Power Decision Making Based on Markov Chain

    This investigation is focused on the prediction of the electrical demand in short term for the National Interconnected System of Ecuador. For this purpose, the proposed methodology trains a Gaussian Hidden Markov Model from historic data to determine the typical ...
    Year: 2018