Predictive Maintenance Platform for HVAC Systems
Challenge
The client is a property management company in North Carolina that operates about forty commercial and retail buildings.
It was spending 15% of its HVAC maintenance budget on urgent repairs and receiving frequent tenant complaints. A full system upgrade was not economically feasible, so the company looked to predictive maintenance to reduce downtime and emergency repair costs.
The client is a property management company in North Carolina that operates about forty commercial and retail buildings.
It was spending 15% of its HVAC maintenance budget on urgent repairs and receiving frequent tenant complaints. A full system upgrade was not economically feasible, so the company looked to predictive maintenance to reduce downtime and emergency repair costs.
Solution
SumatoSoft built a cloud-based predictive maintenance platform that collects vibration, temperature-differential, pressure, and electrical load data from HVAC sensors and analyzes it with Azure-based anomaly detection.
When the platform detects an issue, it automatically creates a work order in the UpKeep CMMS and notifies engineers. A web dashboard shows equipment health, trends, and work order status across the portfolio.
SumatoSoft built a cloud-based predictive maintenance platform that collects vibration, temperature-differential, pressure, and electrical load data from HVAC sensors and analyzes it with Azure-based anomaly detection.
When the platform detects an issue, it automatically creates a work order in the UpKeep CMMS and notifies engineers. A web dashboard shows equipment health, trends, and work order status across the portfolio.
Results
- 45% reduction in emergency repair costs
- 40% reduction in HVAC downtime
- 12-month payback period
- Detected issues turn into UpKeep work orders automatically, across a portfolio of about forty buildings
- Delivered by a team of 7 specialists over 8+ months
- 45% reduction in emergency repair costs
- 40% reduction in HVAC downtime
- 12-month payback period
- Detected issues turn into UpKeep work orders automatically, across a portfolio of about forty buildings
- Delivered by a team of 7 specialists over 8+ months
