Design and simulation of moving vehicle

To solve the problems in airport movement areas of vigorous weed growth, high-intensity manual mowing work, strong dependence on personnel, while traditional mowing equipment has low automation, slow efficiency, and poor safety, a multifunctional intelligent mowing device was designed. It includes functions such as autonomous navigation, autonomous obstacle avoidance, automatic adjustment of mowing height, automatic adjustment of cutter disc rotation speed, and automatic cleaning of wheels. The equipment is equipped with a wireless remote control and autonomous navigation system, enabling two operational modes: remote-controlled operation and autonomous navigation operation. Secondly, the equipment features an automatic stubble height setting function to meet the demands of different sites; it has a one-touch cleaning function for tires, ensuring the tidiness and cleanliness of airport runways. In terms of path planning, the Dynamic Window Approach (DWA) and A* fusion algorithm are used for global path planning and local path planning. For path selection, backtracking and zigzag routes are adopted, which helps improve mowing coverage. By integrating inertial navigation devices and 3D LiDAR devices, autonomous positioning and obstacle discrimination are achieved, enabling functions such as multi-target recognition, multi-obstacle recognition, and local obstacle circumvention. Test results indicate that at a speed of 10 km/h, the equipment achieves a theoretical mowing area of 240,000 square meters per hour. However, due to influences such as terrain, obstacles, and turning maneuvers, the actual operational efficiency reaches approximately 190,000 square meters. This performance meets both the operational requirements and functional specifications for airfield zones.