Abstract
With the rapid development of the electric power system and the promotion of intelligent substations, the use of substation inspection robots instead of manual inspection is the trend of future development. At present, the substation inspection robot mainly adopts LIDAR for navigation and in actual application. The robot's positioning is inaccurate and derailment occurs from time to time, and the adapted scenarios are limited and the navigation accuracy is not high due to factors such as environmental changes, ground bumps and sparse positioning features. This paper describes the current status and technology of the development of visual composite navigation technology for substation inspection robots to improve the adaptability and navigation accuracy of inspection robots in complex substation environments.
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