Research on Global Gath Planning for Mobile Robots Based on Improved Ant Colony Algorithm

In the field of electric power and energy, the safety of important electric equipment stored in substations and power stations is a matter of great concern. The electric power inspection vehicle is an effective solution to the problem of low efficiency, inaccuracy, and high risk, as the current detection method is mainly manual inspection. The electric power inspection vehicle in addition to the realization of the basic requirements from the starting point to the end point, but also need to consider whether the inspection is convenient, whether it can automatically avoid obstacles in the emergency environment. In view of the above problems, this paper proposes an electric power inspection vehicle for real-time monitoring of important power equipment in power plants, which is able to avoid complex obstacles in the power plant, and at the same time enter different sub-areas within the power plant for inspection. Therefore, this paper focuses on the path planning and obstacle avoidance aspects of the vehicle, through the improvement of the Ant Colony Algorithm, constantly optimize the driving route, and constantly improve the obstacle avoidance ability.