Research On Path Optimization Algorithm For Large-scale Electronic Assemby System

The continuous development of 4G and 5G network technologies has put forward higher and higher requirements for the construction of communication base stations of network operators.The functions of cluster routers of core network nodes in communication base stations are also constantly complicated,and the function of the board that are used to manufacture communication backs of cluster routers is also becoming more and more complicated.The electronic components that need to be assembled are continuously developing in the direction of large-scale and intensive,which puts higher and higher requirements on the electronic assembly equipment.In order to improve the production efficiency of large-scale electronic assembly,this paper studies the path optimization problem of large-scale electronic assembly process.In view of the problems of solving quality and solving speed of large-scale electronic assembly path optimization algorithms,this paper proposes improvement measures to overcome the above problems.Then,the control system of fully automatic crimping equipment is designed based on the improved path optimization algorithm.The experimental verification of the algorithm is completed while improving the production efficiency of electronic assembly.This paper designs a control system for fully automatic electronic assembly crimping equipment.By studying the functional requirements of the assembly equipment and the characteristics of the process flow,and combined with the functions and characteristics of the hardware structure of the assembly equipment,I design the PC software of the control system.The PC software performs the functions of the modules such as motion control,pressure acquisition and image processing.This PC software completes the fully automatic control of the electronic assembly crimping device and leaves an interface for the path optimization algorithm.In order to improve the production efficiency of fully automatic crimping equipment,this paper designs a path optimization algorithm for large-scale electronic assembly process.By studying the characteristics of the electronic assembly process and analyzing the shortcomings of the current large-scale electronic assembly path optimization algorithm,an improved strategy is proposed to solve the problem of slow solution speed and low accuracy.The improved strategy improves the solution's accuracy of the transient chaotic neural network algorithm,and also greatly improves the speed of the algorithm.In order to verify the effect of the improved algorithm,this paper designs related verification experiments.By comparing with traditional transient chaotic neural network algorithm,the effectiveness of the improved scheme for the improvement of the solution quality and the solution speed is verified.By comparing with other well-performing algorithms,the solution effect of the improved algorithm is verified.After the validity verification is completed,the algorithm is combined with the upper computer software of the control system of the electronic assembly equipment,and the improved algorithm is applied in the actual electronic assembly production process.The actual results show that the improved algorithm can effectively improve the efficiency the large-scale electronic assembly.