Key Technologies Of Operation Optimization Of Workshop Manufacturing System In Cloud Manufacturing

Cloud manufacturing come into being because of the implementation of China's"integration of informatization and industrialization" strategy based on cloud computing,networking and other advanced information technology penetrating in the field of manufacturing industry continually. The core of cloud manufacturing is to realize the collaboration and sharing of manufacturing resources, which provides a new impetus for the upgrading and transformation of manufacturing industry. However, the application of cloud manufacturing theory and related technology in the workshop manufacturing system is still facing to many problems. In view of the above, this dissertation researched consensus methods regarding "the operation mode of workshop manufacturing system in the cloud manufacturing environment" as the breakthrough point, focusing on resources semantic description and service encapsulation, task decomposition and planning,resources optimizing configuration and real-time monitoring of service chain, as well as other key issues.Firstly, it was reviewed the evolution of the advanced manufacturing mode and the current research situation of some fields related to cloud manufacturing, and it was also analyzed the challenges to the operation management of the workshop manufacturing system. Secondly, it was found out the characteristics and connotation of the operation optimization mode of the workshop manufacturing system in the cloud manufacturing environment. In terms of the theoretical research and system realization, a kind of operation mode of workshop manufacturing system was put forward, and the key technology was discussed. Then, it was further studied the core problem of the operation optimization of the workshop manufacturing system in the cloud manufacturing mode,which included:1) It was analyzed the need for semantic description of manufacturing resource services in cloud manufacturing environment and discussed the OWL-S semantic description method. The manufacturing resource noumenon and meta resource modeling were introduced into the semantic description of cloud manufacturing resource services to construct the ontology meta model of cloud manufacturing resource service. It was proposed based on the analysis of the characteristics of cloud manufacturing resources, a classification method of manufacturing resources bottomed on classification tree basis.Then it was builded semantic description framework of cloud manufacturing resource service with cloud manufacturing resource service ontology meta model, eliminating the ambiguity of semantic meaning of resource description. A service-oriented encapsulation method was proposed to support the real-time information release, which supported the consistency and real-time of the service state information.2) On the basis of definition the connotation of the cloud manufacturing task and the related definition of the constraint structure of manufacturing tasks, it was applied OWL-S to formally describe a cloud manufacturing task. Besides, it was designed cloud manufacturing recursive task decomposition algorithm based on hierarchical task network and gave the analysis method of manufacturing task granularity, the measure method of manufacturing task cohesion and relevance as well as the measure method of integrated manufacturing service quality.3) Aiming at the cloud manufacturing resource optimization allocation problem in dynamic environment, and proceeding from execution process, it was set up a multi-objective dynamic optimal allocation model of cloud manufacturing resources and come up with the resource dynamic allocation strategy. By combination with the dynamic resource allocation techniques on the basis of event driven and period driven, the chaotic mechanism, dual phase variation strategy and the population perturbation strategy were introduced into the standard differential evolution algorithm to put forward a multi-object- oriented dynamic manufacturing resource optimal allocation algorithm, which improved the computational efficiency and the quality of solution.4) It was elaborated the connotation of cloud manufacturing service chain and provided the formal description method. After analyzing the difficulties in the real time monitoring of the cloud manufacturing service chain, a monitoring system architecture of cloud manufacturing service chain and operation mode were proposed. What was more,it was studied some key technologies such as the multi-source heterogeneous information perception and integration model, general service operation index model and its configuration, manufacturing service and operation indicator mapping model, as well as hierarchical production system operation index system.5) It was developed a set of workshop manufacture operation management prototype system oriented cloud manufacturing and carried out the system application and implementation with the combination of the cloud manufacturing -oriented workshop manufacturing system operation mode,operation technology and support system architecture and function framework, which verified the feasibility and effectiveness of the method proposed in this paper.