Intelligent Planning of the Lifting Path of Bridge Crane in Dynamic Environment

Aiming at the operation of bridge crane in three-dimensional dynamic environment, a new method of dynamic obstacle avoidance intelligent path planning based on improved artificial bee colony algorithm is proposed. Considering the hoisting height of bridge crane, by changing the honey source initialization mechanism, adding adaptive coefficient, changing the onlooker bees following mechanism and introducing scout bees, the artificial bee colony intelligent algorithm is improved. So, the search accuracy is improved and the original shortest path is planned. When the number of obstacles increases or moving obstacles appear on the original planned path during the operation of the crane, the dynamic obstacle avoidance strategy is used to avoid collisions, and the secondary planning of the path is carried out, finally an optimal path with fewer inflection points and smoother path is obtained. The security and operation efficiency of the bridge crane system are enhanced. The simulation results show the feasibility and effectiveness of the scheme.