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Honeywell Process Solutions (HPS) announced the launch of Uniformance Asset Sentinel, which continuously monitors equipment and process health, assisting industrial facilities to predict and prevent asset failures and poor operational performance.
The new offering expands HPS' Uniformance software suite and supports the emergence of the Industrial Internet of Things (IIoT) in the process industry, enabling companies to collect, organize, and analyze data for a specific asset or "thing." These analytics can transform work processes from reactive to proactive, helping industrial plant operators avoid unplanned downtime and improve plant performance and safety.
Uniformance Asset Sentinel reportedly helps companies with industrial assets increase utilization of those assets by up to 10 percent by reducing unplanned downtime. It can also cut maintenance costs by up to 15 percent by better predicting and preventing catastrophic equipment failure and inefficient operations.
The technology works by continuously accessing data from a variety of sources, including process parameters, vibration data, and alarms. Using a real-time complex event-processing engine, Uniformance Asset Sentinel continuously performs performance, health, efficiency, and safety-related calculations and compares those results of the current actual performance to an expected performance model. Predicted or detected deviations from these models are used to generate notifications to facilitate investigation and intervention to minimize the cost and frequency of an event.
Uniformance Asset Sentinel's pre-defined best practice templates for more than 100 equipment types, such as pumps, compressors, exchangers, valves and turbines, combined with its seamless interface to its process design simulation software (UniSim Design), helps customers rapidly deploy equipment or process monitoring on any plant asset, eliminating the need for complex model development.
Keywords: Unplanned Downtime, Monitors Equipment, Process Health, Industrial Facilities, Asset Failures, Industrial Internet of Things (IIoT), Analytics, ARC Advisory Group.