Application of Improved Monte Carlo Algorithm on Substation Electric Inspection Robot Simultaneous Localization and Mapping

Abstract

Patrol inspection of power equipment is one of the key factors to ensure the reliability of power supply. At present, the conventional manual mode cannot meet the increasing demand of patrol inspection task, and the effect is not ideal. The application of electric inspection robot is the development direction of smart grid reform. Based on the analysis of real-time positioning and map creation of electric inspection robot, the patrol business feature model is established, and the improved model Carlo algorithm is applied to the slam of electric inspection robot. It is oriented to the working condition and the characteristics of inspection robot in the business environment, so as to achieve the effect of plane ground map creation and real-time positioning. The simulation results show that the slam of electric inspection robot based on the improved Monte Carlo algorithm improves the positioning accuracy and can adapt to the process noise in the operation of complex working conditions, which has a good practical application prospect and value.