Research On Task Decomposition Method Of Complex Heavy Equipment Based On Network Collaborative Manufacturing

Enterprises are facing the pressure of increasing market competition and continuously meeting personalized product customization requirements as Global Economic Integration and the rapid development of information technologies such as“Industrial Internet”,Big Data,and Cloud Computing.Complex heavy equipment,as an important key basic equipment in the manufacturing industry chain,reflects the country’s high-end manufacturing capacity and level,and it is an important guarantee for the national economy and national defense security.However,the heavy equipment industry of China is large but not strong,and it is in the changing process from the low end of the global value chain to the mid-high end,from “Made in China” to “Created in China”.The network collaborative manufacturing platform can cooperate with enterprises to share manufacturing resources,complete cooperative projects together,and realize the optimal allocation of manufacturing resources.Task decomposition is one of the most important links in the network collaborative manufacturing operation process.The rationality of its decomposition is closely related to the quality and efficiency of the work in the later stage of the project.Moreover,due to the characteristics of complex heavy equipment products such as highly customized,large project type,and many Enterprise multi-level collaboration,the tasks submitted by users are highly collaborative,so it is necessary to study the task decomposition of complex heavy equipment,the main research contents are as follows.Firstly,the basic definition and general principles of complex heavy equipment task decomposition are proposed and the task decomposition strategy and process are given based on the analysis of the network collaborative manufacturing platform operation process,the characteristics of complex heavy equipment products and the analysis of task decomposition demands.Secondly,a top-level task decomposition based on Qo S-constrained target-level analysis method is proposed to decompose the total tasks into relatively simple subsystem-level tasks.The structural design matrix method is used to establish a sub-systemlevel task decomposition model for sub-system-level tasks.The basis of the correlation measurement of the subtasks of the complex heavy equipment products based on the function-technology-structure mapping process is proposed,and the task comprehensive HDSM matrix is constructed.Thirdly,the fuzzy clustering algorithm based on the improved PSO algorithm is proposed to achieve optimal segmentation of the integrated HDSM matrix,clustering and merging of meta-tasks of complex heavy equipment,and a reasonable task decomposition scheme for complex heavy equipment.Finally,this thesis takes 125 MN aluminum extrusion equipment as an example,analyzes the correlation between meta-tasks,constructs a comprehensive HDSM matrix,and uses the improved PSO fuzzy clustering algorithm to achieve optimal segmentation.The results of the decomposition verify the rationality and effectiveness of the decomposition method proposed for complex heavy equipment tasks.