This October 2020 report from the International Institute for Sustainable Laboratories was authored by Cimetrics. The report examines the opportunity presented by predictive maintenance to save money and increase facility reliability. The risk of equipment failure can be reduced by continuous, automated analysis of equipment performance to identify faults before they become critical. Successful predictive maintenance programs require investment in a data-rich building automation system, configuration of that system to perform analytics, development of a process and workflow to manage the automatic fault detection and diagnostics (AFDD) results, and training of facilities personnel on the program. “The result is a leaner, more efficient lab facility operation, helping to eliminate energy-wasting faults while freeing up funds and labor for other types of sustainability improvements.”
Key Words: Architecture/Engineering, Artificial Intelligence (AI), Cloud & Data Analytics, Controls/Sensors, Energy Management, Intelligent Building, Internet of Things (IoT), Large Building Controls/Automation, Property Management