工业设计云服务平台协同任务模块化重组与分配方法

To solve the matching efficiency problem in the process of subtask and service resource allocation in industrial design cloud platform, a method of modular reorganization and allocation of collaborative tasks was proposed. Based on analyzing the characteristics of collaborative design task and service resources in cloud platform, the computational method and implementation framework of task decomposition and modular restructuring were given. By combining the weighted directed graph with the design structure matrix, the information interaction strength and the coupling relation among sub tasks were analyzed quantitatively, and the modular reorganization of sub tasks was realized. The trend matrix was established to evaluate the executive capacity and the relative importance of tasks. By converting trend matrix into execution matrix, the mapping relationship between restructured tasks and cooperative resources was obtained, and the optimal combination scheme of virtual resources was got. With the method of experiment comparison and analysis, the effectiveness and correctness of the proposed method was illustrated by the example of collaborative design task of medical analgesia pump.