融合制造执行系统技术的云制造模式及其若干关键技术研究

发布时间：2018-05-02 22:43

本文选题：融合制造执行系统技术的云制造模式 + 关键技术　；参考：《浙江大学》2016年博士论文

【摘要】：制造业是国民经济的最为重要的组成部分。近年来,我国制造业的传统优势呈递减趋势,制造业的不景气对国家经济发展影响巨大。为了促进制造业的转型升级,国家先后推出制造2025和制造业供给侧改革等措施,以期促进中国制造由中低端向中高端迈进。总体来看,中国制造面临着产能过剩、同质化严重、产品质量不能保证、先进技术突破困难、社会制造资源难于优势共享等一系列问题。为了解决制造业面临的产能过剩、同质化严重、产品质量不能保证、先进技术突破困难、社会生产资源难于优势整合等一系列问题,人们提出了制造业服务化、信息化、智能化和定制化;为了实现制造业服务化、信息化、智能化和定制化,前人进行了不少探索,包括网络化制造、制造网格、虚拟企业、物联网、信息物理融合系统、工业4.0、大规模定制和云制造技术等。其中,云制造技术是一项还处于发展中的技术,对于实现制造业服务化、信息化、智能化和定制化具有潜质,当前关键的是要解决云制造技术研究中存在的若干问题。云制造技术研究存在的问题包括:(1)对制造业即成状态考虑过少,理论层次高,但难于接地气;(2)针对发现和匹配技术的研究不少,但都不能很好解决云制造服务发现和匹配的需要;(3)对制造资源的分类直接影响云制造模式,以前的分类方式没有考虑制造业现有的组织方式,以至于设计出来的云制造模式难于应用于现有的制造业;(4)缺少对制造任务执行的研究,制造服务匹配上之后最为重要的就是制造任务的执行,包括执行过程和过程监控等。本文针对以上提到的现有云制造相关研究存在的不足,提出了相应的解决办法,主要研究成果包括:(1)提出了基于云商业模式的制造业服务化方法及其实施路线,剖析了制造业信息化、服务化的现状,提出了服务化方法,为制造业及其企业的转型升级提供了模式和技术两方面的参考。(2)进行了云制造模式、体系与架构研究,提出了云制造服务平台CMSP的体系架构、应用模式和服务模式,给出了基于SOA的云制造平台技术体系。(3)进行了云制造服务匹配和优选技术研究。提出了基于本体描述的制造服务分层匹配方法,研究了基于变精度粗糙集的制造服务优选方法。(4)提出了面向云制造的制造执行系统CMoMES构建方法,在分析云制造服务平台需要和现有制造执行系统特点的基础之上,给出了 CMSP与CMoMES之间的交互方法,提出了符合云制造业务需要的制造执行系统关键技术和方法。(5)对CMSP和CMoMES进行了联合应用研究,验证了本文提出的制造服务发现、匹配和优选技术以及云制造任务执行方法的可行性。
[Abstract]:Manufacturing industry is the most important part of national economy. In recent years, the traditional advantages of Chinese manufacturing industry are decreasing, and the recession of manufacturing industry has a great impact on the national economic development. In order to promote the transformation and upgrading of manufacturing industry, the country has introduced measures such as manufacturing 2025 and supply-side reform of manufacturing, in order to promote Chinese manufacturing to move from middle and low end to middle and high end. In general, Chinese manufacturing is faced with a series of problems, such as overcapacity, serious homogeneity, unguaranteed product quality, difficulty in breaking through advanced technology and difficulty in sharing advantages in social manufacturing resources. In order to solve a series of problems, such as overcapacity, serious homogenization of manufacturing industry, unable to guarantee product quality, difficulty in breaking through advanced technology and difficulty in integrating social production resources, people have put forward a series of problems such as service and informatization of manufacturing industry. In order to realize service, information, intelligence and customization of manufacturing industry, predecessors have made many explorations, including networked manufacturing, manufacturing grid, virtual enterprise, Internet of things, information physics fusion system, Industry 4.0, mass customization and cloud manufacturing technology. Among them, cloud manufacturing technology is still in the development of technology, for the realization of manufacturing services, information, intelligence and customization, the key is to solve some problems in cloud manufacturing technology research. The problems in cloud manufacturing technology research include: (1) too little consideration of the instant state of manufacturing, high theoretical level, but difficult to be approachable. (2) there are many researches on discovery and matching techniques. However, none of them can solve the need of cloud manufacturing service discovery and matching.) the classification of manufacturing resources directly affects the cloud manufacturing model. The previous classification methods did not consider the existing organization of manufacturing. Therefore, it is difficult to apply the cloud manufacturing model to the existing manufacturing industry. (4) lack of research on manufacturing task execution, the most important thing after manufacturing service matching is the execution of manufacturing tasks, including execution process and process monitoring and so on. In view of the shortcomings of the existing cloud manufacturing research mentioned above, this paper puts forward the corresponding solutions. The main research results include: 1) propose the service-oriented method of manufacturing industry based on cloud business model and its implementation route. This paper analyzes the present situation of information and service of manufacturing industry, and puts forward the method of service, which provides the model and technology for the transformation and upgrading of manufacturing industry and its enterprises, and studies the model, system and structure of cloud manufacturing. The architecture, application mode and service mode of cloud manufacturing service platform (CMSP) are proposed. The cloud manufacturing platform technology architecture based on SOA. A hierarchical matching method for manufacturing services based on ontology description is proposed. The method of manufacturing service optimization based on variable precision rough set is studied. (4) the method of constructing manufacturing execution system (CMoMES) for cloud manufacturing is proposed. Based on the analysis of the needs of cloud manufacturing service platform and the characteristics of existing manufacturing execution systems, the interaction between CMSP and CMoMES is presented. The key technologies and methods of manufacturing execution system that meet the needs of cloud manufacturing business are put forward. The research on the joint application of CMSP and CMoMES is carried out, which verifies the manufacturing service discovery proposed in this paper. Matching and optimal selection techniques and the feasibility of cloud manufacturing task execution methods.
【学位授予单位】：浙江大学
【学位级别】：博士
【学位授予年份】：2016
【分类号】：TP393.09

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