Research On Workshop AGV Path Planning And Simulation Algorithm

With the proposal of the 2025 strategy for smart manufacturing,smart factories based on digital twins have been increasingly researched and applied.The AGV intelligent logistics distribution system realizes the automatic transportation of materials in the production process of the enterprise,which plays a vital role in the smart factory.Among them,the path planning and simulation algorithm is the key algorithm for the AGV guarantee operation of the workshop,which has more important theoretical significance and engineering application.value.This paper takes workshop AGV as the research object,researches the path planning and simulation algorithm of workshop AGV,and optimizes and improves the algorithm to solve the problems of the existing genetic algorithm and the existing rapid expansion random tree algorithm,and realizes the AGV route plan.The main research contents are as follows:In terms of global path planning,in order to solve the shortcomings of the existing genetic algorithm in solving robot path planning,such as slow convergence speed and easy to fall into local optimum,a robot path planning method based on adaptive genetic algorithm is proposed.This method introduces a reversal operator,adds an insertion operator and a deletion operator,and adopts a new adaptive strategy to adjust the crossover and mutation probability to better avoid falling into the local optimum and improve the optimization efficiency of the algorithm.Experimental results show that the improved adaptive genetic algorithm is more effective than existing genetic algorithms.In terms of local path planning,in view of the problems of low search efficiency and planned path deviation from the optimal path in the existing rapid extended random tree algorithm(RRT algorithm),an improved RRT-Connect algorithm is proposed based on the analysis of the existing RRT algorithm’s deficiencies,which is based on strategies such as target bias,dynamic step adjustment,and key node selection.It expands toward the target point and the starting point.The algorithm achieves a comprehensive balance in convergence speed and path quality.Experimental simulation results show that the improved RRT-Connect algorithm reduces redundant sampling points,improves search efficiency,and can better meet the rapid response requirements in engineering practice.The overall performance is better than the existing RRT algorithm.Based on the above algorithm,using the C ++ language and Hoops rendering engine to develop the AGV path planning simulation prototype system on the Inte3 D platform,simulate the AGV intelligent logistics distribution system of the smart factory,solve the AGV path planning problem in the workshop,and verify the workshop scenario.The validity and practicability of the algorithm.