• Accelerating Innovation in the Industrial Internet of Things

    Hear from PTC on how their ThingWorx Industrial Innovation platform and OSIsoft's PI System can be used together to accelerate deployment of a variety of IIoT solutions that enable business outcomes in Smart Manufacturing, Smart City, Smart Service and other ...
    Year: 2018

    CI2BI - Chemicals Injection Real Time Data to Business Intelligence

    Radix developed an Operational Intelligence solution using OSIsoft PI System to optimize the Chemical Injection operation. The solution allows users to achieve lower and more efficient chemical usage, higher accuracy and lower variation in chemical dosage compared to a specified ...
    Year: 2018

    Advanced Analytics with Seeq

    Seeq is an advanced analytical application fully integrated with the PI Data Archive and PI Asset Framework. Seeq delivers a hybrid approach to analytics, easily combining first principals, statistics, and machine learning. Seeq's approach brings self-service analytics for engineers and ...
    Year: 2018

    Kansai Electric Power and OSIsoft to Collaborate to Improve the Efficiency of Thermal Power Plants

    Kansai Electric Power and OSIsoft to Collaborate to Improve the Efficiency of Thermal Power Plants Kansai, one of Japan’s largest utilities, to utilize experience and insights gained from improving its own operations to help other power providers. Power & Utilities 2018-04-25 San Leandro, CA and Osa ...

    Nokia SenseOps Qualcomm solution brief

    When pitch bearings fail, the repair costs are high. The crane roll alone is often in excess of $100,000. By the time the rotor has been lowered, blade removed, bearing replaced, and the rotor raised back in place, repair costs can pass the $150,000 mark and that figure doesn’t include the lost energy value. But with the right data, preventative maintenance of pitch rings costs less than $5,000. Together Nokia, SenseOps, Qualcomm, and OSIsoft have developed an end-to-end solution, integrated with other industrial IT systems, to capture, analyze, and detect pitch bearing problems (and other wind turbine operational issues) before catastrophic failure.