Research on Combination and Optimization of Path Planning Algorithm Based on Bridge Crane

The path planning of bridge crane is affected by multiple factors (crane spreader size, cargo size, obstacles, frequent braking of cart and trolley), so it is not simple to carry out traditional path planning, regardless of safety and practical operability. In the paper, a visual sensor equipped with a panoramic camera is used to collect environmental information of the work area to create an environmental map, which provides guarantee for subsequent path planning. The unit decomposition method is used to divide the whole environment map into several sub-regions to generate fuzzy paths, and then the grid method is used to generate a plane grid map based on the unit decomposition method to decompose several sub-areas. The above steps lay the foundation for the subsequent improved A* algorithm to search for a specific path. By combining the three methods of unit decomposition method, grid method and improved A* algorithm to make best use of the advantages and bypass the disadvantages. Thereby better achieving the effect of path planning.