Research On Matching Method Of Resource Services In Cloud Manufacturing Platform

In our country,there are many problems in the manufacturing industry,such as low utilization of resources,unbalanced resource scheduling and insufficient innovation ability,which seriously affect the development of China's manufacturing industry.As an advanced manufacturing mode,cloud manufacturing integrates cloud computing,Internet of things,intelligent science and other technologies,which can effectively solve these problems.However,with the development of cloud manufacturing technology,there are more and more resource services on cloud manufacturing platform.It has become a new challenge to quickly and accurately match the resource and demand.Therefore,in order to achieve efficient matching of cloud platform resources and demands,this paper has carried out in-depth research on this issue.The formal description model of both sides of cloud platform resource supply and demand is constructed.This paper studies the classification of cloud manufacturing resources and its characteristics,on the basis of which a detailed manufacturing resource classification tree is established;according to the description characteristics of different cloud manufacturing resource information and the relevant requirements of cloud platform roles,a formal description model of resource supply and demand sides is constructed;in view of the problems existing in the current matching method,a three-stage matching idea is designed.A preprocessing method of resource service in cloud manufacturing environment is proposed.K-means algorithm,which optimizes the initial clustering center,is used to cluster the massive services in the cloud service pool.Services with high similarity of basic information are gathered together to form a small number of resource service clusters.The alternative resource service clusters are determined by calculating the basic information similarity between user needs and each resource service cluster center,so as to narrow the matching range.This paper proposes a resource service mapping matching method in cloud manufacturing environment.In this paper,a matter-element model of resource service supply and demand in cloud manufacturing environment is established,and the essence of resource service mapping matching is explained.The alternative resource service and demand are matched from three aspects of state information,function information and service information respectively,and the matching threshold value is set respectively,the resource service that meets the threshold value is retained,and the service that does not meet the matching threshold value is eliminated.Through the resource service mapping matching The mapping matching of the source services can get theset of resource services which can basically meet the needs of users.This paper proposes a method of resource service optimization configuration in cloud manufacturing environment.In order to further improve the accuracy of matching,the services that meet the needs are sorted according to the user's personalized preferences.The variable precision rough set theory is used to analyze the transaction history of the cloud platform,so as to determine the objective weight of each sub attribute.Then the comprehensive matching weight is determined based on the user's personalized preference,and the comprehensive similarity is calculated and sorted in the order of large to small,Get the most suitable cloud manufacturing services for users.The prototype system of supply and demand matching for cloud platform is designed and developed.This paper analyzes the function of supply and demand matching system,and designs and develops the prototype system of supply and demand matching of cloud platform by using JSP technology,MySQL database and other technologies.