Theoretical Framework And Key Technologies: A Research On Resource Share In Digital Manufacturing System

How to enable enterprises and research institutions to share manufacturing resources and to solve the problem of unbalance of the manufacturing resources has always been one of the critical issues of digital manufacture research. This dissertation, which is part of national research and development projects, focuses on the resources share of digital manufacturing system. It is guided by the research philosophy of "Study relevant theories, strive for critical technological breakthroughs". A summary of the specific aspects of the dissertation research is as follows:(1) Based on the research on the connotation, models, functions and development trends of resource share of digital manufacturing, and accordingly on the overview of key issues concerning the resource share in the digital manufacturing system, we put forward the concept of digital manufacture system bus of three kinds, the logistics bus, the resource bus and the information bus. Using the manufacture bus, we made the whole world of manufacturers a virtual digital manufacturing system, which can realize manufacturing resources share and cooperative manufacture.(2) To meet the requirements of heterogeneous resource share, we proposed an interface model of manufacturing resource on grid. We studied the basic theories and methods to integrate and encapsulate the manufacturing resource into grid service, and defined the standardized interface and protocol of manufacturing resource encapsulation methods, service interface on the production of full life cycle. We constructed the manufacturing resource management system for the integration of manufacturing realm with manufacturing data share, control and cooperation of whole life cycle of production so as to achieve the "plug and play" function of manufacturing resource under all manufacturing enterprises.(3) Based on the Resource Space Model of knowledge grid, we proposed a method to construct manufacturing resource space model. We parsed the manufacturing resource onto the knowledge space, made the manufacturing resource computer understandable by the semantic techniques, which made the digital manufacturing system able to automatically reason and pick up the right resource to finish the process of manufacture. We constructed a shared manufacturing resource search architecture based on RSM and RUM cooperative mechanism, which provided a useful theory for manufacturing resource share research.(4) To address the problem of dynamic resource share, we proposed and realized algorithm for manufacturing grid resource dynamic status detection. This algorithm is capable of meeting various QoS demands of all kinds of manufacturing resources, supporting the strategy of scheduling priority of local resources demands. We recorded the dynamic status of the resource of manufacturing grid by constructing the dynamic status detector service for manufacturing resource, which would provide the dynamic manufacturing resource share by dynamically detecting the resource failure and for system to timely eliminate failure resource.(5) Focusing on the problem of manufacturing resource schedule, we proposed and attained the combination-optimized algorithm. Combining the fuzzy comprehensive evaluation and algorithm for minimum total length path, we realized optimized schedule for the life-cycle manufacturing resource to achieve the target of optimized manufacture. The algorithm will maximize the manufacturing efficiency and optimize the whole manufacturing target.