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Research On Packaging And Service Composition Optimization Of Extrusion Equipment Manufacturing In Cloud Manufacturing Environment

Posted on:2021-04-21Degree:MasterType:Thesis
Country:ChinaCandidate:K H DuanFull Text:PDF
GTID:2481306107474684Subject:Engineering
Abstract/Summary:PDF Full Text Request
Intelligent transformation and upgrading of the equipment manufacturing industry is critical with the increasingly fierce competition in the international equipment manufacturing market.In addition to the development of highly automated and intelligent production changes supported by machine learning,artificial intelligence and other technologies,the core is optimized resource allocation and intelligent decisions.The improvement of resource utilization level is also a research hotspot.Therefore,expanding resource conversion efficiency under the cloud manufacturing system is an important idea for intelligent upgrading of the extrusion equipment manufacturing industry.In the cloud manufacturing system,distributed heterogeneous resources are usually served in the form of service compositions.At the current stage,single-source resources are used for service encapsulation,and tasks are decomposed into service compositions.How to determine service and service composition selection method when it are not applicable has become a key issue in the application of cloud manufacturing system in the extrusion equipment manufacturing industry.Based on the current research,this thesis focuses on the characteristics of resources involved in the extrusion equipment manufacturing process,and through researching the related methods of resource packaging and service combination optimization;it improves and proposes a solution for the extrusion equipment manufacturing resource cloud manufacturing system access.First of all,a research framework to solve the problem of extruding equipment manufacturing resource service access to cloud manufacturing system is proposed.Based on the analysis of the extrusion equipment manufacturing model and the requirements of extrusion equipment manufacturing in the cloud manufacturing environment,in order to achieve the efficient conversion of resources to services,fully express the service characteristics of extrusion equipment manufacturing resources,research and establish the first Service-based packaging and then research framework for optimization of service composition.Secondly,a resource service packaging method for extrusion equipment manufacturing process is proposed.Considering that the current packaging method described in terms of single resources and manufacturing capabilities is not suitable for the resource packaging needs of the extrusion equipment manufacturing process,it is proposed to construct the ontology of the extrusion equipment manufacturing field on the premise of the classification of extrusion equipment manufacturing resources,complete resources and knowledge To the logical mapping of description semantics,and then through the process-oriented resource integration logic and resource call path to achieve the squeezing equipment manufacturing resources into a packaging method of conversion.Then,a service combination optimization method based on process combination process is proposed.On the basis of process-oriented resource service packaging,combined with the form of process combination in the manufacturing process of extrusion equipment,a service combination method with process logic as the combined process is proposed.Under the characteristics of this combination method,service quality evaluation and process are proposed.Collaboration and resource utilization are the goals of service combination optimization and establish a combination optimization model.The optimal service combination is solved by introducing an improved fast non-dominated genetic algorithm.Finally,combined with the previous research results of the national key R & D program,relevant content development was carried out under the framework of a customized heavy equipment custom cloud platform,and the practicality and effectiveness of the above research content were tested and verified.
Keywords/Search Tags:Cloud manufacturing, Extrusion equipment manufacturing resources, service-oriented packaging, service composition optimization, Platform verification
PDF Full Text Request
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