Application of Multi-Sensor Fusion Precise Positioning and Autonomous Navigation Technology in Substation Intelligent Inspection Robot

With the rapid development of industrial intelligence, the application of robot technology in power equipment inspection has gradually become the focus of attention. The purpose of this study is to explore the application of multi-sensor fusion technology in substation intelligent inspection robot, focusing on its performance in precise positioning and autonomous navigation. Through the design experiments, this study uses a variety of sensors, such as lidar, vision sensor, global positioning system (GPS), inertial measurement unit (IMU), and combined with advanced fusion algorithm, so that the robot can perceive the environment more accurately, achieve high-precision positioning, and have the ability to plan the path independently. The experimental results show that the robot fused with multi-sensor data can achieve highly accurate positioning in complex environment and provide reliable spatial information for inspection. In terms of autonomous navigation performance, advanced path planning algorithm is introduced in this study, and by fusing sensor data, the robot can realize intelligent obstacle avoidance and autonomous navigation in unknown or dynamic environment. Compared with the predetermined path in the traditional inspection method, the fusion technology enables the robot to deal with various scenes more flexibly and efficiently, and improves the flexibility and adaptability of autonomous navigation. By comparing the traditional inspection methods, this study further verifies that the introduction of multi-sensor fusion technology has significantly improved the performance. In the scene with obstacles, the robot with sensor fusion shows stronger adaptability, can perceive and avoid obstacles in real time, and improves the safety and efficiency of inspection. The application of multi-sensor fusion technology in substation intelligent inspection robot provides new technical support for the healthy operation of power equipment.