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, 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 ...

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.

Two years ago, SBM Offshore, a worldwide operator of 14 large floating production vessels (FPSOs), began thinking about new ways of deploying digital technology to improve how it works with its partners and service providers. There was a lot at stake for the Monaco-based group whose fleet of vessels process over a million barrels of oil per day. One area for immediate improvement was the water treatment and injection facilities critical for deepwater production, a process in which, as the industry saying goes, “water in equals oil out.” Working with its partner Veolia to improve water treatment and injection, SBM concluded that both parties needed more accurate, real-time oversight of the highly complex and expensive process where problems can result in costly downtime with hefty contractual penalties. Veolia and SBM, who are both well-established users of the PI System, used the PI System as a solution to create a rich flow of data, and move from reactive to predictive analytics for managing water treatment.

At its plant in Bassens, France, Michelin manufactures the high-tech synthetic elastomers for its tires. In the past, Michelin’s engineers struggled to track equipment in real time, which is critical for reducing off-spec production and resource waste. With the PI System, Michelin was able to develop easy-to-use tools for plant operators to track complex processes and keep them within optimal parameters. Efficiency improvements driven by the PI System saved the company €4 million in less than a year, and enabled the plant to recover from a 2,000-ton disruption in material production within six months.