Study On Key Technologies Of Manufacturing Tasks Execution Of Building Material Equipment Enterprises In Cloud Manufacturing

With the rapid development of advanced technologies such as cloud computing, Internet of things and the challenges in manufacturing industries, cloud manufacturing model and technology is proposed. And its aims are to realize the collaboration and sharing of manufacturing resources, and provide new powers to transformation and upgradation of manufacturing industries. However, the openness of cloud manufacturing model and multi-user characteristic, cause that multi-user tasks execution process involves heterogeneity of manufacturing tasks, competition of resource services, condition monitoring and evaluation of task execution and so on. In view of this, this paper researches the optimization execution of manufacturing task in cloud manufacturing mode from four aspects, and choose the building material equipment enterprises as the application case study in practice. The main research work can be summarized as the following aspects:(1) To the heterogeneity problem in the process of manufacturing task execution, put forward the cloud manufacturing task information model and semantic modeling framework. And apply ontology modeling technology to establish the original cloud manufacturing task ontology (OCMT_Ontology), then establish and perfect the common cloud manufacturing task ontology (GCMT_Ontology) by self-learning model of ontology on the basis of the text corpus of manufacture tasks in building material equipment enterprise and text pre-processing technology, Furthermore, build the cloud manufacturing task sub-ontology (CMTS_ontology) by matching with GCMT_Ontology and implement the semantic description of cloud manufacturing tasks.(2) Propose the construction framework of cloud manufacturing task execution service chain. On the basis of the analysis of single user resource service optimal-selection problem, multi-user task resource service optimal-selection model is focused. And construct the game model by applying the evolutionary game theory to solve the competetion problem of multi-user resource services.Four types of scenarios are developed to obtain the evolution stable strategy of game model and the diagrams of replicator dynamics are analyzed simultaneously. Finally, build the executable collaborative manufacturing resource service chain based on the sequential and logic relationship of manufacturing subtasks.(3) Construct the state monitoring framework of task execution process in cloud manufacturing. And build the multi-source data mapping model of manufacturing task ontology.On basis of this, achieve data fusion of task execution progress according to the structure of manufacturing tasks and resource service chain, and realize the real-time condition monitoring of manufacturing resources with the hidden markov model.(4) Advance the evaluation model of cloud manufacturing task execution process and build the evaluation attributions and fuzzification methods of different attributions. And then propose intuitionistic fuzzy OWA-TOPSIS method to evaluate the performance of task execution process, in which six different types of data aggregation methods and corresponding positive-ideal and negative-ideal solutions identification methods are advanced. And then, the practicability of the proposed method is verified by a case study.(5)Develop the task execution management system for practical application following the product manufacturing process of the building material equipment enterprises in could manufacturing. And implement the collaborative manufacturing task execution plan management, process tracking and evaluation among the collaborative enterprises.