基于任务驱动的云制造服务发现方法  

Task-driven Cloud Manufacturing Service Discovery Method

作　　者：高洁 GAO Jie(College of Intelligent Manufacturing,Shanxi Vocational University of Engineering Science and Technology,Jinzhong Shanxi 030619,China)

机构地区：[1]山西工程科技职业大学智能制造学院,山西晋中030619

出　　处：《太原师范学院学报(自然科学版)》2025年第1期40-47,共8页Journal of Taiyuan Normal University:Natural Science Edition

基　　金：山西省高等学校科技创新项目(2023L416)。

摘　　要：针对现有制造服务的异构性、分散性等问题,以集中资源、分散服务的思想,对各类制造资源进行了资源-资源之间的关联、任务-资源的关联,提出了任务与资源之间的关联方法,并使用KM算法实现服务的发现.该方法结合任务与资源的相关性,从资源与任务的角度考虑出发,为云制造中服务的形成提供了理论依据.In view of the problems such as heterogeneity and decentralization of existing manu-facturing services,with the idea of centralized resources and decentralized services,the resource-resource association and task-resource association of various manufacturing resources were carried out,and a service discovery method between tasks and resources.The KM algorithm is used to obtain the optimal service.This method combines the correlation between tasks and resources and considers it from the perspective of resources and tasks,providing a theoretical basis for the formation of services in cloud manufacturing.

关 键 词：云制造 中小企业 Kuhn-Munkres 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]