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At a recent ARC Advisory Group’s Industry Forum, Shawn Anderson, Senior Research Specialist for Fisher Valves, a division of Emerson Process Management, gave a presentation on using IIoT to help end users reduce valve-related unplanned downtime.
Mr. Anderson’s group initially began looking at adopting IIoT as a way to collect more realistic valve health data than could be generated in a lab. Using IIoT, valve failure information is obtained directly from valves in aftermarket field installations. ARC refers to this approach of obtaining data from installed systems and feeding it into the next stage of product design as “closed-loop product lifecycle management (PLM).”
Soon afterwards, it became apparent that IIoT technologies were a natural fit for a remote monitoring service. This approach uses predictive or prescriptive maintenance services to optimize customers’ valve maintenance practices and prevent dreaded unplanned downtime for these critical assets.
Emerson partnered with software company, Seeq, to improve the data visualization tools used to predict future valve problems. Seeq used its expertise with time-series data to help Fisher Valve Division build a collaborative environment connecting customers with local Fisher services experts and global valve experts. This environment enables data from multiple sources to be visualized and aggregated. It allows authorized people located around the world to look and work on the same data for predictive maintenance and operational improvements.
This recent ARC View provides a more thorough review of how Fisher Valves leverages IIoT technologies to reduce valve-related unplanned downtime.
Mr. Anderson’s group initially began looking at adopting IIoT as a way to collect more realistic valve health data than could be generated in a lab. Using IIoT, valve failure information is obtained directly from valves in aftermarket field installations. ARC refers to this approach of obtaining data from installed systems and feeding it into the next stage of product design as “closed-loop product lifecycle management (PLM).” Soon afterwards, it became apparent that IIoT technologies were a natural fit for a remote monitoring service. This approach uses predictive or prescriptive maintenance services to optimize customers’ valve maintenance practices and prevent dreaded unplanned downtime for these critical assets.
Emerson partnered with software company, Seeq, to improve the data visualization tools used to predict future valve problems. Seeq used its expertise with time-series data to help Fisher Valve Division build a collaborative environment connecting customers with local Fisher services experts and global valve experts. This environment enables data from multiple sources to be visualized and aggregated. It allows authorized people located around the world to look and work on the same data for predictive maintenance and operational improvements. This recent ARC View provides a more thorough review of how Fisher Valves leverages IIoT technologies to reduce valve-related unplanned downtime.