IoT Module Enables Predictive Maintenance Of Busducts

Faced with users' high requirements for the continuity of power systems, the intelligence of busducts has evolved from a concept to large-scale application. The new generation of intelligent busducts generally integrates multiple IoT sensors for temperature monitoring, current monitoring, partial discharge detection, and other functions. Through the built-in edge computing gateway, they achieve data collection and analysis, laying a technical foundation for predictive maintenance.

These intelligent sensors collect busduct operating data several times per second and conduct real-time equipment status analysis via built-in algorithms. For instance, by analyzing subtle trends in the temperature of connection points, potential overheating risks caused by loose connections can be predicted weeks in advance; by monitoring partial discharge signals, insulation aging issues can be detected promptly. This data is transmitted to cloud platforms via networks to generate visual equipment health reports.

According to operational data from a data center, the deployment of an intelligent busduct system has enabled a transformation from "passive emergency repair" to "proactive maintenance." Over the past year of operation, the system has successfully warned of potential faults multiple times, avoiding potential business interruption losses. Statistics show that adopting this predictive maintenance model can reduce sudden failure rates by over 70% and cut maintenance costs by 35%.

With technological maturity and cost reduction, intelligent operation and maintenance (O&M) systems are expanding from high-end projects to general applications. Some manufacturers have also developed supporting mobile applications, allowing O&M personnel to monitor equipment status anytime and anywhere, further improving O&M efficiency.