Study on Application of Intelligent Sensors in Online Monitoring of Power Equipment

To address technical bottlenecks in power equipment online monitoring, such asinsufficient monitoring accuracy, low data validity, delayed fault early warning, this paper proposes a comprehensive application scheme integrating multi-dimensional intelligent sensors for online monitoring, online monitoring data fusion algorithms and online early warning of monitoring equipment faults. Taking transformers and GIS equipment as monitoring objects, key monitoring indicators and performance thresholds are clarified. The scheme is implemented through hardware deployment integration and software development embedding. Three actual application cases are selected for comparative testing, and universality verification is conducted simultaneously. Results show that the scheme meets preset performance requirements and has engineering application feasibility.