Research On Servitization Method And Matching Strategy Of Multi-granularity Design Resources Under Cloud Manufacturing Environment

With the development of labor division and market segmentation,the degree of specialization of design technologies and resources is higher and higher and gradually has the characteristics of industry-oriented,professionalization and regionalization distribution.Besides the design resource owned by factory,there are more and more independent design institutions.Those professional design institutions have designers with rich experience and many design resources such as professional hard equipments and software.on the base of meeting the design requirement of their own enterprises,those design institutions have the ability of design outsourcing.Meanwhile,because of the huge difference among each segmentation market,single design resource cannot finish the design of complex electromechanical system comprising by multi-disciplinary.Therefore,the cooperation and sharing of multi-design resource is needed to accomplish the complex interdisciplinary design task.But because of the complex of designer,equipment and knowledge,the regional distribution of design resource and technical barrier among enterprises,the integration and sharing among design resource encounter great challenge,and the collaborative,networked and professionalization development of complex product design have great obstacle.Under this context,aimed at the networked sharing of design resource,a kind of multi-granularity design resource cloud manufacturing system is proposed.On the base of multi-granularity design resource ontology modeling and aggregation,large granularity design resource servitization description is realized and the matching between design task and service is accomplished.The specific research contents are as follows.On the base of design resource multi-granularity analysis,its model is proposed,in which the concepts of static physical resource,dynamic capacity resource and cross-fumctional design cell are defined.Design resource cloud manufacturing platform in the dissertation are proposed on the base of the analysis about grid,manufacturing grid and cloud manufacturing.The matching mechanism of design task and resource are analyzed.A kind of design resource two-stage access method based on initiative resource access is built.General ontology model of design resource is put forward,by which a three-layer granularity resource model is built.In order to optimize resource,a kind of aggregation resource evaluation method is designed.At first,resource evaluation index and cost index are built,and at the same time design maturity coefficient,success rate coefficient,stability coefficient and experience coefficient are designed.On the base of the four coefficients,resource ability index is defined.Resource index matrix is built using the above resource ability,evaluation and cost index.And then,member evaluation matrix and running evaluation matrix are built on the base of the resource index matrix and weight coefficient.At last,comprehensive evaluation matrix are built according to the weight coefficient of member resource and aggregation resource.A kind of resource aggregation strategy is designed,in which interactive DCR resource aggregation method based on the pushing mechanism of same area resource is proposed and also CDC resource aggregation method is put forward.Through the study of semantic web service and its description language OWL-S,a kind of design resource servitization method based on semantic is put forward.By extending the superior OWL-S ontology,design resource semantic description framework is built and the resource servitization description strategy based on the mapping between design resource ontology and resource description ontology are proposed.By the one-one mapping between resource concepts set and OWL-S extended ontology,the servitization description of resource are realized.A kind of multi-stage matching strategy based on design task decomposition is built.Context sensitive design task ontology modeling method is put forward and design task decomposition method based on information flow is designed.On the base of basic semantic similarity arithmetic,a kind of service resource multi-stage matching strategy is designed,by which the matching between ontology task and cloud service are accomplished.On the base of the above research,the prototype system framework of multi-granularity design resource cloud manufacturing is built,prototype system is developed and the key modules are realized.At last,some key algorithms are verified by examples.