Research On Key Technologies Of Cloud Manufacturing Service Platfrom

It was a major trend from production manufacturing to service-oriented manufac-turing in the manufacturing industry.However,during the continuous period of transfor-mation and upgrading,manufacturing enterprise also faced various challenges and risks.How to achieve the transformation and upgrading and improve the service level for man-ufacturing enterprise,it has become an important area of current research and practice.Therefore,cloud manufacturing which is a typical service-oriented manufacturing model is taken as the background in this paper.And it is discussed on how to support cloud manufacturing through with cloud manufacturing platform,and evaluate the service level of the cloud manufacturing platform.Further more,with the goal of improving the service level and reducing the cost of the manufacturing enterprise,the researches are done as follows:(1)The architecture of cloud manufacturing platform and the Service Maturity Mod-el for Manufacturing(SM3)are supposed on how to support cloud manufacturing and evaluate the service level of cloud manufacturing platform.According to analyze the op-eration model of cloud enterprise and the basic function of cloud manufacturing service system,the architecture of cloud manufacturing platform is presented.And based on the four elements of manufacturing and their servitization,the S M3 is put forward for evalu-ating the service level of cloud manufacturing platform.And it is analyzed for the main characteristics of S M3 and evolution process.At last,the scientific research problems are given in high level service of cloud manufacturing platform.(2)In the cloud manufacturing platform,to solve the performance problem of vast resources searching,this paper adopts the virtualization method towards heterogeneous resources and the multi-granularity optimal clustering method based on hypergraph parti-tion.First of all,manufacturing resources are classified and the features of heterogeneous resources were analyzed.The heterogeneous resource unified description framework is put forward based on resource type,and is described by the language of OWL-S.The manufacturing resource ontology hierarchical model is built up according to the relation-ship of resources.And then the virtual resource hypergraph is generated automatically.At last,the method based on hypergraph partition is used to realize multi-granularity optimal clustering of virtual resource.(3)With the goal of reducing the operation and maintenance cost of manufacturing enterprise,the resource optimal configuration method is studied for further solving the performance problem of resources searching and improving the reliability of tasks.First of all,the correlation,similarity and the apriority of cloud manufacturing virtual resources are analyzed.And then the corresponding models are established.At last,the optimal configuration model is established based on the strategies of the corresponding resources in maintaining and using.The experimental results show that the availability factor of resource could be improved by the resource correlation.The efficiency of real number matrix coding genetic algorithm could be improved of taking advantage of the resource similarity and apriority.(4)When resource requirements were not balance,the resource utilization rate may be not high.To solve this problem,this paper presents the multi-task oriented virtual resource integration and optimal scheduling method.First of all,the characteristics of tasks are analyzed.And then,the correlation of resources in a task and among tasks is studied in the process of resource scheduling.The resource time-sharing scheduling strategy is put forward in cloud manufacturing.At last,the multi-task oriented virtual resource integration and optimal scheduling model is established based on the aforemen-tioned characteristics.The genetic algorithm is adopted to solve the problem according to the resource time-sharing scheduling strategy.The experimental results show that the proposed model and method could improve the overall performance of virtual resource in-tegration and scheduling for cloud enterprise both in adequate resources and in a shortage of resources in case of a large number of tasks.At last,the cloud manufacturing service platform is designed and developed for the large-scale equipment manufacturing group enterprise according to the requirements of the cloud manufacturing services of CNR.The corresponding theoretical research results are integrated into the platform to validate.The application effect showed that the research results in this dissertation could help to achieve the transformation and upgrading for manufacturing enterprise.