Research On The Optimization Of The Production Process Of Movement Assembly Line Based On Intelligent Manufacturing

Manufacturing enterprises need more efficient allocation of production resources to improve production efficiency.As one of the core production links of manufacturing enterprises,the balance optimization of assembly line is even more important.With the continuous improvement of the intelligent level of the workshop,the types of equipment in the workshop are increasing day by day,which further strengthens the requirements for the information construction of the workshop.In order to realize the smooth communication of all the equipment in the assembly line,balance and optimize the production process,eliminate the restrictive factors in the production process and improve the production efficiency,this paper takes the movement assembly line of pulsator washing machine as the research object,and uses the key technologies in the field of intelligent manufacturing,including OPC UA core technology,improved genetic algorithm and Flexsim simulation technology,to propose an optimization framework of the movement assembly line production process based on intelligent manufacturing.By designing and implementing the data collection and monitoring system of movement assembly line,manufacturing enterprises can collect and monitor the data of physical workshop production process in real time,thus realizing the real-time update of virtual workshop production process.At the same time,through the balance optimization and simulation analysis of the production process of the movement assembly line,the data interaction between physical and virtual workshops can be realized and the production process of the physical workshop can be continuously improved.The details are as follows:1,the movement assembly line production process analysis.Firstly,the production process and information source of assembly line are analyzed,and the optimization framework of movement assembly line based on intelligent manufacturing is put forward,and the composition and significance of the optimization framework are expounded in detail.On this basis,the architecture of real-time data acquisition and situation monitoring system for assembly line is studied,and the optimization objectives and constraints of assembly line production process are put forward.It lays a theoretical foundation for the subsequent chapters.2.Design and implementation of real-time data acquisition and monitoring system for movement assembly line.Firstly,the OPC UA standard specification and OPC UA system architecture are studied.Secondly,the real-time data acquisition and monitoring system of assembly line is designed: KEPServer EX is used as the software for OPC UA server;Use C# programming language to develop OPC UA client on.NET platform.Using this system to solve the data acquisition of different types of industrial control equipment in assembly line can not only realize the data interaction between physical space and virtual space,but also lay a data support for the follow-up balance optimization and simulation analysis.3,the balance optimization and simulation analysis of movement assembly line production process.In this paper,an exchange mutation method based on immediate process constraints is proposed to improve genetic algorithm to optimize assembly line.Firstly,the algorithm is realized and the optimal scheme is output by Matlab.Taking the movement assembly line of pulsator washing machine as an example,it is verified that the algorithm can effectively optimize the production beat,balance rate and smoothness index of the assembly line,thus optimizing its production efficiency.Finally,according to the movement assembly line before and after improvement,Flexsim simulation models are established respectively to output the data before and after improvement.Through the comparative analysis of the output data,the effectiveness of the improved genetic algorithm in improving the balance optimization of the movement assembly line and the practicability of the optimization framework of the movement assembly line production process based on intelligent manufacturing in optimizing the original wiring process are verified.