Research on Path Planning of Substation Robot Inspection Based on Cloud Computing

Abstract

With the continuous development of smart grids, the number of substations has also increased. Aiming at the problems of heavy inspection tasks in substations and low level of manual inspection visualization, this paper proposes a cloud computing-based substation robot inspection path planning method. Through the equivalent modeling of the substation scene based on image recognition, the motion model of the inspection robot is constructed, and the inspection path of the substation robot is planned by the improved deep reinforcement learning algorithm. Through the actual substation equivalent verification, the proposed deep reinforcement learning algorithm of the improved convolutional neural network has shorter calculation time and higher efficiency than the traditional algorithm. It is more conducive to accurate planning of the inspection path of the substation inspection robot, and improves the substation inspection. The level of automation.