mPrest deploys industrial IoT-based predictive health analytics program for NYPA assets
Written By: Stratton Report
March 7, 2017
On March 7, mPrest, a provider of monitoring, control and analytics software for utilities, and NYPA announced the deployment of a predictive health analytics application which the organizations hope will enhance operational reliability and cost-effectiveness of NYPA’s asset network.
The organizations stressed that mPrest’s Asset Health Management application was developed in collaboration with NYPA and is already deployed and monitors the operational health of NYPA transformers in real time, increasing efficiencies at NYPA’s Niagara Power Plant.
mPrest notes that its software utilizes the Industrial Internet of Things (IIoT) to monitor equipment and systems outfitted with online and offline sensors, allowing for real-time data analysis as well as enhanced control. At the Niagara Power Plant, mPrest’s software platform analyzes information from electrical transformers to automatically diagnose their operational health and predict potential malfunctions and failures.
Natan Barak, founder and President of mPrest remarked:
Our partnership with the talented, forward thinking electricity engineers and experts at the New York Power Authority has resulted in the development and deployment of a first-of-its-kind, comprehensive monitoring and control system. In a record amount of time, we, together with NYPA, determined what was needed, and created an unprecedented, effective solution that will reduce operational risks, deter unplanned down time, and prevent expensive maintenance costs. I believe that this technology achievement will lead to broader partnership between Israel and New York State.
Gil C. Quiniones, NYPA president and CEO observed: “Our transformer system is a critical piece of our statewide power infrastructure, raising the voltage or ‘electrical pressure’ of power so that it can be transmitted long distance over the state’s grid. Through our collaboration with mPrest, we can now accurately predict potential failures through better diagnostics and prognosis. As we actively pursue becoming the ‘first completely digital utility in the country,’ it is through cutting-edge technological innovation like this one, made possible with the intelligence, dedication and cooperation of our partners, that we have developed a unique, effective way of monitoring our transformers.”