Application of Online Diagnosis Technology of Distribution Equipment Status Based on Intelligent Agent

This paper proposes an intelligent management model for distribution network equipment centered on dual ultrasonic transient ground voltage partial discharge monitoring sensors. By aggregating both electrical and non-electrical data through intelligent agents, the system enables continuous 24/7 data acquisition, filtering, computation, and condition assessment of distribution equipment. Sampled data are transmitted to a cloud-based distribution Internet of Things platform, where intelligent filtering and diagnostics are performed to provide auxiliary decision-making suggestions. The proposed model has been successfully implemented in 12 distribution substations within the Beijing Economic-Technological Development Area, significantly enhancing the early warning capability for equipment anomalies and improving the efficiency of routine operation and maintenance.