Substation inspection is an effective measure to ensure the safe operation of power equipment. The existing fixed monitoring

manual inspection and robot intelligent inspection methods have problems such as single monitoring indicators

high inspection work intensity and low efficiency

and limited inspection angles. In response to this

this paper develops an obstacle-crossing substation inspection device based on intelligent recognition technology. Firstly

the study designs the various hardware components that make up the intelligent inspection device.Secondly

the study provides a schematic diagram of the operating principle of the intelligent inspection device and designs the visual module and motion module of the intelligent inspection device using YOLOv5 image recognition algorithm and motion system algorithm that integrates improved A*(A-star) and dynamic window approach(DMA). Then

the paper develops a software system platform that can conveniently control the movement of intelligent inspection devices

adjust the perspective and focal length of the image acquisition cloud platform

and transmit video streams. Finally

the image acquisition pan-tilt

wireless communication module and the body of the intelligent inspection device are assembled. The rationality and effectiveness of the intelligent inspection device and its control method are verified through practical application on site.