The era of reactive maintenance—changing a bulb only after it fails—is ending. Connected lighting systems enable predictive maintenance. By continuously monitoring driver health, LED temperature, and operating hours, the system can predict failures before they happen. Facility managers receive alerts about a fixture that is likely to fail in the coming weeks, allowing for planned, efficient replacement during off-hours. This prevents dark spots, enhances safety, and reduces emergency repair costs. Furthermore, data on actual usage versus predicted usage can inform warranty claims and help manufacturers improve product design. This shift from scheduled to condition-based maintenance is a core benefit of the Industrial Internet of Things as applied to lighting, maximizing system uptime and optimizing the total cost of ownership for large installations.
Maintenance 2.0: Predictive Analytics for Lighting Systems
