关键词: 云制造, 加工设备, 聚类算法, 可拓论, 服务选择

Abstract: It is difficult to select the service supplies of processing equipments with rich varieties and huge quantities to match the service demands quickly under the cloud manufacturing mode.To solve this problem,the manufacturing capacities of processing equipments were described,the traditional K-means algorithm with the initial cluster centers randomly and the number of clusters in advance was improved,and the similarity-based clustering method for cloud services of processing equipments was proposed.On the basis of clustering preprocessing of cloud services and generation of a plurality of class clusters,the extension theory-based matter-element models of service demands and cloud service class clusters were established,and the initial selection method for cloud service sets of processing equipments was presented.The cloud services of machining center on the cloud platform was taken as an example to illustrate the effectiveness of the proposed models and methods.

Key words: cloud manufacturing, processing equipment, clustering algorithm, extension theory, service selection