FitMachine generates the insights that allow you to understand HVAC asset health, operating behaviour and importantly energy use – insights that allow smarter decisions to be made.
Keeping chillers, cooling towers, air handling units (and more) healthy
FitMachine’s advanced machine learning technology allows you to adopt industry leading predictive maintenance processes.
Decrease downtime. Reduce time and money spent on asset breakdowns thanks to advanced predictions.
Know exactly how all assets in your operation are performing in real-time. Accessible anytime, anywhere.
Reduce physical inspection costs, lower operating costs, extend asset lifecycle. And all with a as-a-service commercial model.
The Queensland Brain Institute (QBI) is a world-class neuroscience research facility aiming to uncover how the brain works in health and disease. QBI and the University of Queensland have deployed MOVUS FitMachines® on multiple types of HVAC equipment within those facilities.
A screw type chiller was retrofitted with a variable-frequency drive (VFD). After this was installed, the FitMachine® detected abnormal behaviour during the first cold nights of the winter season. This abnormal behaviour was occurring in the early hours of the morning, and the FitMachine® Artificial Intelligence (AI) was able to detect the problem outside of the standard hours for technicians. It issued alarms to QBI due to significant changes related to vibration, noise and temperature signatures.
The chiller is over-condensing and as the nights get cooler we are seeing worse conditions. Over-condensing on a screw chiller is not very healthy at all.
The technology presented to us by MOVUS is 100% useful and I think it has a great future in a wide range of industries