Research On Intelligent Control Technology Of Discrete Manufacturing Process

It is an important guarantee for the improvement of advantages to implement intelligent control and efficiency management in the production process as it requires the optimization of design and the rationality of planning for production and assembly of multiprocess products in its discrete manufacturing process with continuous improvement of product requirements for optimization,integration and efficiency.At present,manufacturing enterprises are facing many problems including increasing market demand and intensifying industry competition by taking new energy vehicles as an example,in particular,the level of automobile production depends more on the structural design and balance planning of its assembly line,for its "heart"-power battery pack.In this paper,in order to shorten the project cycle of automobile enterprises and achieve the purpose of intelligent optimization of manufacturing and assembly process,it studies the improvement of the balance of beats,productivity and management control of each station in its assembly production line,and realizes the optimization of robot obstacle avoidance in discrete manufacturing process by taking "Manufacturing Process of Discrete Assembly of Power Battery Pack" as an example.Finally,it verifies the rationality of the control strategy in the process of manufacturing assembly through the hardware-in-the-loop virtual commissioning technology for simulation optimization.First of all,in this paper,it studies the balance problem and optimal layout in the process of discrete manufacturing assembly on the basis of expounding the current situation and key technologies of intelligent management and control in discrete manufacturing.And it discusses the technological process of battery assembly line in detail,defines the goal and requirement of line body construction,and establishes the whole assembly line of battery pack by Plant Simualtion simulation software.It uses DOE experimental method to design single-factor experiment,two-level experiment and multi-factor experiment for multiobjective parameters such as the number of AGV vehicles,speed and number of pallets in the assembly line according to the structural characteristics of line body.Finally,it optimizes their parameter ratio and improves the productivity through comparative analysis of experimental data by use of the genetic algorithm(Gawizard).Secondly,it reconstructs and models three-dimensional robots in manufacturing assembly lines in order to solve the problems of robot motion interference and improve the quality and efficiency of robot operation to obtain the forward and inverse kinematics model of the robot by using the standard D-H analysis for the six-axis robot.Finally,it enables robots to obtain a reasonable movement path in the process of implementing the fetching parts,and completes the attitude optimization and path optimization of robots by means of Matlab simulation,which successfully solves the interference problem,providing more reference for the construction of equipment in the actual production line.In the end,in this paper,it realizes the automatic import of three kinds of AGV model data in the discrete production line of battery pack and the real-time extraction of equipment information of important station by using data information interaction mode in order to realize intelligent data management in discrete manufacturing assembly process,which can facilitate control personnel and maintenance personnel to carry out remote data update and production line calibration.It builds the hardware-in-the-loop debugging environment by using Plant Simulation and PLC material object based on the hardware-inthe-loop virtual debugging technology in order to implement the verification of intelligent control,and it realizes the debugging of specific position of assembly line through Win CC man-machine interface.According to the experimental results,it can effectively shorten the product life cycle of discrete assembly line by optimizing the joint design of production system and control system of battery pack assembly line by use of the method described in the paper.