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Challenges, Opportunities and Strategies for Integrating IIoT
Advantage of Enterprise-wide Deployment
TEPCO Group and OSIsoft to Collaborate on IIoT
Pioneers of Digital Transformation
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Actionable, historical, real-time and predictive intelligence into energy consumption. That's what makes the PI System a uniquely powerful engine for improving energy utilization, associated costs and environmental sustainability.
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To optimize energy use, first you must understand where energy is being consumed and the impact of different assets, events and processes. The PI System provides a data infrastructure to access energy utilization information within and across assets, systems and plants - information that empowers organizations to make transformational energy decisions.
Kellogg used historical energy data from its operations to identify areas of inefficiency and justify a new control system project. Then using the PI System they analyzed the success of the control system project, implemented a phase two project to further reduce energy usage, and negotiated a $265,000 rebate from rebate from their local utility based on the quality of their data and their energy savings.
Major League Baseball has had a long standing commitment to improving the environmental footprint of its stadiums by improving energy and water efficiency. Early efforts lacked real-time data and instead relied on hindsight analysis. To take their conservation efforts to the next level, the Seattle Mariners installed the PI System to monitor their ballpark. Armed with real-time energy, natural gas, and water usage data, the Mariners have reduced its environmental footprint, increase its understanding of operating costs, and improve the bottom line.
Semiconductor manufacturing depends on having access to ultrapure deionized (DI) water and water is also one of their biggest expenses. In 2010, IBM Burlington was using 3.2 million gallons of water per day. Using the PI System to analyze water usage throughout the manufacturing process and relationships between processes such as chemical treatment, energy use, manufacturing efficiency, heating and cooling, IBM Burlington was able to reduced water usage by 27% while simultaneously increasing manufacturing capability by more than 30%.