Mhs Insights

IoT-based Predictive Maintenance

April 2, 2020
MHS Insights monitors assets through IoT sensors and system data to provide timely maintenance recommendations and strategic health assessments.

MHS has launched MHS Insights, a condition-based maintenance solution that monitors assets through IoT sensors and system data to provide timely maintenance recommendations and strategic health assessments.

MHS Insights integrates readings from multiple data sources with predictive models, historical readings and detailed knowledge of failure modes. This provides service organizations with precise, condition-based predictive alerts on potential failures, rated with a red, yellow or green level of urgency. These proactive maintenance and component replacement recommendations come ahead of when alarms would activate in the control room.

Facilities can integrate MHS Insights with the company’s CMMS solution to optimize maintenance spend and system performance. MHS Insight alerts can auto-populate work orders and part orders, providing technicians with OEM specific recommendations and equipment information to expedite service.

MHS Global

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