Connecting people and systems with data to achieve great things
Move from maintenance to prevention and predictability
Optimizing asset health, minimizing asset failures and understanding optimal maintenance programs are critical to reducing operation costs. The PI System's™ sensor-based data infrastructure delivers the data companies need to gain real-time, historical and predictive insights into asset health and maintenance needs.
Transform your data. Transform your world >
Other Business Solutions >
With the PI System in place, organizations can move beyond calendar and use-based asset maintenance - a costly practice that doesn't take into account the reliability and health of the asset. Through data-driven insights, maintenance engineers can see exactly which assets are critical and understand the health of each asset in real time, and compare its current condition to historical performance.
Through asset intelligence, organizations reduce downtime, failure and production loss with preventive maintenance, longer equipment life and predictable expenditures - efficiencies that can transform operational costs.
Columbia Pipeline Group's (CPG) proactive management strategy improves operational performance. Promising reliability is the lifeblood of CPG's business for attracting and retaining customers. When an event would occur, CPG would previously take a reactive approach to investigate the why and how. With reliability at stake, CPG extended the use of the PI System to proactively monitor their assets. The result: increased reliability and savings over $2.8 million.
By implementing Condition Based Maintenance with the PI System, Power Generation companies such as Exelon Nuclear, Power Factors, PSE&G and others were able to reduce budget by 10-20%, create engineer efficiency and improve asset reliability.
ComEd's grid modernization program establishes detailed asset models. With hundreds of assets across the organization to be organized and their data monitored in a reasonable time, ComEd established detailed asset models and automated logical algorithms, resulting in standardization across Substations and certainty that vital equipment is being monitored around the clock.