The ultimate goal to successful proactive maintenance management is to minimise unplanned downtime and optimise maintenance costs. This is Predictive Maintenance. Applying just-in-time methodology enabled by IoT technologies is an effective way to optimise, but not eliminate, regular on-site maintenance works that require equipment to be shutdown. This is done by predicting when the equipment is likely to fail, advising where attention is needed and planning when the next on-site maintenance work should be scheduled. Johnson Controls runs successful Predictive Maintenance programs on critical building assets such as chiller units.

This approach to maintenance is highly recommended for critical and hyper-critical cooling processes. These processes include applications such as data centres where untimely downtime can have significant financial and operational consequences.

Predictive maintenance is embedded in our Connected Chiller Service. The service provides peace of mind by minimising equipment downtime through the use of Smart Connected Chillers equipped with IoT technologies which collect data, together with cloud-based services provided by Johnson Controls that use advanced proprietary analytics and machine learning techniques to process and analyse data.