制造云服务按需供应模式、关键技术及应用研究

发布时间：2018-06-07 13:38

本文选题：云制造 + 制造云服务　；参考：《浙江大学》2013年博士论文

【摘要】：在制造业信息化和服务化的大背景下,针对传统的一些网络化制造模式的局限性,通过借鉴云计算的模式和技术,云制造这一网络化制造的新模式应运而生。云制造综合运用各种信息技术、制造技术和管理技术,通过对海量、异构、分布的面向制造全生命周期的制造软硬件资源进行虚拟化和服务化,形成一个统一的制造云服务池,并构建云制造服务平台对制造云服务进行统一、集中、按需的智能化管理和经营,进而为各种用户提供可靠、优质、廉价的按需制造服务,从而支持企业间便捷、动态的业务协作,促进广域范围内的制造资源优化配置。云制造服务平台在给用户带来大量服务的同时,也产生了服务与用户需求的匹配问题：如何根据用户各种不同性质的需求,利用平台中的海量资源和服务,为用户供应所需的满意服务；如何根据广大用户的需求,组织和管理平台中的海量服务,促进服务的有序化。因此,制造云服务的按需供应是云制造的关键问题和核心特征之一。本文针对制造云服务按需供应研究存在的不足,以有效支持制造云服务按需供应模式的工程化应用为目的,从模式、技术和应用三个层面上来研究制造云服务的按需供应问题,以促进云制造环境下海量云服务组织和管理的按需有序化,支持企业按需获取和使用制造资源。论文主要内容如下：第一章首先阐述云制造产生的背景,分析云制造的内涵；接着对云制造的研究现状进行剖析；在此基础上,给出制造云服务按需供应模式的内涵和外延,分析云服务按需供应模式的重要性及其研究之不足；针对云服务按需供应研究的不足,给出论文研究的主要内容与结构。第二章研究制造云服务按需供应模式的体系结构。首先,提出客户需求分离点的概念,基于客户需求分离点在云服务供应过程中的位置,将云服务按需供应模式分为按需求提供、按需求组合、按需求设计和按需求研发四类子模式,提出云服务按需供应模式的整体架构,分析其内在原理；接着基于按需供应模式的整体架构,提出云服务按需供应的过程模型,以指导不同情景、不同前提下的按需供应问题,并构建云服务按需供应的平台框架；最后总结分析按需供应模式的实现所涉及的技术体系。第三章研究支持演化的制造云服务元建模技术,在云服务的建模阶段即集成地考虑云服务的演化方法和演化管理问题。首先分析制造云服务的建模需求,提出支持演化的云服务元建模框架；着重研究框架语义表示层中的云服务元模型架构。在元元模型层,给出云服务的形式化定义及概念模型。在元模型层,阐述云服务业务主对象、业务元对象和业务元数据的模型结构及演化操作对象、演化日志对象的模型结构。在云服务模型层,基于Web本体描述语言建立云服务本体；最后提出云服务的演化过程模型。第四章研究制造云服务按需获取和使用过程中的三个核心关键技术。首先,以云服务检索过程中精度、效率和个性化的集成优化为目标,研究多维度的云服务语义检索和匹配技术的原理和算法,对所提方法进行评估验证；然后,提出并阐述人机交互式云服务组合方法的原理,研究该方法中的制造云服务组合模型、反向推理和前向推理策略、云服务组合的检查与建议等问题；最后,提出按需求设计模式中的云服务设计过程模型,分析其中云服务的拓扑结构。第五章研究制造云服务按需组织和管理的内在原理和核心关键技术。首先分析制造云服务按需组织和管理的自组织能力；然后提出基于Web2.0的云服务组织和管理内容,建立云服务组织和管理的自组织机制；接着,详细研究其中基于大众标签的云服务柔性分类、基于维基和掘客的云服务标准协同共建、基于标签和维基的领域本体共建这三个关键技术。第六章将前述章节在模式和技术方面的研究成果应用于模具行业云服务按需供应平台。首先分析我国模具行业存在的问题及造成这些问题的原因；针对这些问题,开发了一个模具云服务按需供应平台,阐述模具云服务按需供应平台的实现框架及主要实现技术；然后分别选取云服务建模和演化、云服务按需获取和使用、云服务按需组织和管理等方面的若干应用案例来验证前述章节提出的按需供应模式和技术的可行性和有效性；最后提出模具云服务按需供应平台的发展模式,展望平台的发展愿景。第七章总结全文工作和创新点,展望后续的研究工作。
[Abstract]:In the background of the information and service of manufacturing industry, in view of the limitations of some traditional networked manufacturing models, the new model of cloud manufacturing is created by using the model and technology of cloud computing. The cloud manufacturing uses all kinds of information technology, manufacturing technology and management technology, through the mass, isomerism and distribution. The manufacturing software and hardware resources for manufacturing all life cycle are virtualized and service-oriented to form a unified manufacturing cloud service pool, and build a cloud manufacturing service platform to unify, centrally, intelligently manage and manage the manufacturing cloud services, and then provide reliable, high quality, cheap and on-demand services for various users. With convenient and dynamic business collaboration among enterprises, we can promote the optimal allocation of manufacturing resources in the wide area.
While the cloud manufacturing service platform brings a lot of service to the user, it also produces the matching problem of service and user needs: how to use the large resources and services in the platform to supply the satisfied service for the users according to the various needs of the users, and how to organize and manage the platform according to the needs of the vast number of users. Therefore, the on-demand supply of cloud services is one of the key problems and core features of cloud manufacturing. This paper aims at the shortage of research on the supply of cloud services according to demand supply, in order to effectively support the engineering application of the mode of manufacturing cloud services in demand supply mode, from three levels of mode, technology and application. The main content of this paper is to study the demand supply problem of manufacturing cloud services in order to promote the ordering of mass cloud service organizations and management under the cloud manufacturing environment, and to support the enterprise to obtain and use manufacturing resources on demand.
The first chapter first expounds the background of cloud manufacturing, analyzes the connotation of cloud manufacturing, and then analyzes the research status of cloud manufacturing. On this basis, it gives the connotation and extension of the mode of manufacturing cloud services according to demand, analyzes the importance of the mode of the cloud service and the shortage of the research, and provides research on the supply of cloud services according to demand. The main contents and structure of the thesis are presented.
The second chapter studies the architecture of manufacturing cloud services based on demand supply mode. First, the concept of customer demand separation point is proposed. Based on the location of customer demand separation point in the cloud service supply process, the cloud service is divided into requirements according to demand, combined according to demand, design and development of four sub models according to demand, and propose a cloud. The overall framework of the service on-demand supply model and its inherent principle are analyzed. Then, based on the overall framework of the demand supply model, the process model for the supply of cloud services on demand is proposed to guide different scenarios, on demand supply problems under different preconditions, and to build a platform framework for the supply of cloud services on demand. Finally, the analysis of the mode of demand supply is summarized and analyzed. The implementation of the technical system involved.
The third chapter studies the meta modeling technology that supports the evolution of manufacturing cloud services. In the modeling phase of the cloud service, we consider the evolution and evolution management of cloud services. First, we analyze the modeling requirements of the cloud service and propose a cloud service meta modeling framework supporting the evolution of cloud services, and focus on the cloud service meta model in the framework semantic representation layer. In the meta model layer, the formal definition and conceptual model of cloud service are given. In the meta model layer, the model structure and evolution operation object of cloud service business main object, business meta object and business metadata, the model structure of evolutionary log object, and cloud service ontology based on Web ontology description language are set up in cloud service model layer. Finally, the evolution process model of cloud service is put forward.
The fourth chapter studies the three key key technologies in the process of manufacturing cloud services on demand and use. Firstly, the principle and algorithm of multi dimension cloud service semantic retrieval and matching technology are studied, and the methods are evaluated and verified by the objective of the integration optimization of the precision, efficiency and personalization in the cloud service retrieval process. The principle of man-machine interactive cloud service combination method is expounded, and the problems of cloud service combination model, reverse inference and forward reasoning strategy, cloud service combination inspection and suggestion are studied. Finally, the cloud service design process model in the demand design model is proposed, and the topology of cloud service is analyzed.
The fifth chapter studies the internal principles and key key technologies of organizing and managing cloud services. Firstly, it analyzes the self-organization ability of the organization and management of cloud services on demand. Then, it puts forward the content of cloud service organization and management based on Web2.0, and establishes the self-organization mechanism of cloud service organization and management; then, the detailed study is based on the organization and management of cloud services. The public label's cloud service flexible classification, based on the co construction of Wiki and Digg's cloud service standards, builds these three key technologies based on the domain ontology of the label and wiki.
The sixth chapter applies the research results of the preceding chapters in the mode and technology to the demand supply platform for the mold industry cloud service. Firstly, the problems and the reasons for these problems are analyzed in the mold industry in China. The implementation of the framework and the main implementation technology, and then select the cloud service modeling and evolution, cloud services on demand and use, cloud services on demand organization and management and other application cases to verify the feasibility and effectiveness of the required supply mode and technology proposed in the foregoing section. Finally, the mold cloud service is supplied in accordance with the demand. The development model of the platform and the prospect of the development of the platform.
The seventh chapter summarizes the whole work and innovation, and looks forward to the following research work.
【学位授予单位】：浙江大学
【学位级别】：博士
【学位授予年份】：2013
【分类号】：TP393.09;TH166

【引证文献】