An unmanned aerial vehicle inspection system for urban distribution network

Abstract

This invention relates to the technical field of power grid inspection, and in particular to a drone inspection system for urban power distribution networks. The system includes: a privacy-enhanced intelligent sensing and dynamic modeling module, a privacy-constrained multi-objective adaptive decision-making module, a distributed collaborative scheduling and privacy compliance gateway module, a source-level real-time privacy desensitization and anti-interference diagnosis module, and a system self-evolution and balance optimization platform. It transforms privacy protection from an external additional cost into an intrinsic design goal. Through dual-layer digital twins and privacy-constrained multi-objective reinforcement learning, it achieves integrated collaborative optimization of inspection efficiency and privacy protection at the algorithmic source, fundamentally resolving the contradiction between the two and significantly improving public safety and social acceptance.

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