A dynamic perception-based distribution network real-time monitoring method and system

Abstract

This invention discloses a real-time monitoring system and method for power distribution networks based on dynamic perception. The method includes setting weight coefficients for power distribution network equipment and various scheduling operations, and establishing identity profiles for operators; fusing real-time data collected by heterogeneous sensors through a device perception layer; receiving and analyzing the fused data transmitted from the device perception layer through an edge computing layer, and sending the analysis results to a cloud server; receiving the analysis results, and when the real-time monitoring system detects an anomaly or requires scheduling operations, the cloud server performs weighted calculations on multi-dimensional data based on a dynamic model, automatically achieving optimal matching of maintenance and scheduling, thereby improving the intelligence and response speed of operation monitoring decisions, ensuring that the most suitable operator takes the fastest route and carries the appropriate tools to handle anomalies or perform scheduling, and realizing the global optimal allocation of resources such as manpower and vehicles in the spatiotemporal dimension.

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