基于社会化的协同智能制造系统研究

发布时间：2018-05-19 08:28

本文选题：社会化网络 + 智能制造　；参考：《中国科学院国家空间科学中心》2015年博士论文

【摘要】：智能制造是工业界持续关注的问题,其支撑技术体系处于持续发展更新中。狭义的智能制造主要关注制造的自动化、企业内不同业务系统的集成、生产线的柔性与工厂制造业务的敏捷性以及紧耦合企业集团内的协同。互联网环境下制造协同更多表现为松耦合特征,因此存在自组织去中心化的企业间的制造服务动态按需协同机制问题。论文针对此问题,对国内外智能制造与协同制造相关的知识体系进行了系统性研究,设计了体系结构,定义了一系列相关概念,并给出了解决方案,围绕制造资源共享、制造资源的选择与分配、制造联合服务访问与授权、动态按需配置制造流程和制造智慧的联合进化与遗传等方面展开分析和讨论。论文首先从技术与集成框架两个角度论述了CIMS(Computer/Contemporary Integrated Manufacturing System)的要素、体系结构、系统建模方法及其演进;智能体特征、模型、组织特征与协调协作方法与强化学习机制和遗传算法;制造的社会化特征与虚拟组织;制造的敏捷与柔性特征;云制造技术与思想的发展;德国工业4.0的CPS(Cyber-Physical System)框架、数据标准化与动态配置生产线目标。文章比较了不同IM概念的内涵和外延差异。论文针对松耦合环境下的制造服务协同问题提出了社会化协同智能制造SCIM(SNS-Based Collaborative Intelligent Manufacturing System)的概念,通过定义智能制造资源IMR(Intelligent Manufacturing Resource)、全制造服务周期TMSL(Total Manufacturing Service Lifecycle)、虚拟生产线VPL(Virtual production Line),构造了SCIM体系结构参考模型,设计了SCIM的两种协作模型E2E(Enterprise to Enterprise)和E2P(Enterprise to Person),设计了E2P下的分包模式和自定义产品模式,并在SCIM体系结构下给出了设计协同、工艺协同、虚拟库存协同、MRO(Maintenance,Repair and Operation)协同的交互场景。论文将企业服务总线ESB(Enterprise Service Bus)扩展为分布式协同制造总线CMB(Collaborative Manufacturing Bus),并通过UDDI(Universal Description Discovery and Integration)复制与更新给出初步实现方法;基于微服务架构提出了微服务制造单元MMSU(Micro Manufacturing Service Unit),分析了其运行机制和消息机制及对遗存系统的集成;将MMSU引入数字制造设备,提出双通道现场服务总线DC-OS(Dual Channel-Onsite Service),将数字制造设备纳入动态制造流程配置进程。在SCIM体系内,协作的关键流程环节包括制造资源与服务的分享、资源与服务的优化选择、制造服务的安全授权、跨企业的动态制造服务流程配置以及松耦合企业间制造应用的智慧进化与遗传过程。针对四个方面,论文在第四章进行了相关技术研究并给出了解决方法。首先,提出了基于open LDAP和JXTA协议的点到点LDAP服务发现与资源同步机制;随后研究了融合CA与o Auth的SCIM体系下跨信任域的应用服务联合认证与授权方案;然后设计了面向社会化协作的制造服务流程引擎模型结构,分析了该流程引擎与制造资源目录服务的交互、流程引擎对MMSU代理的驱动以及流程节点间的消息机制;该章节最后将遗传算法应用于IME(IM-ed Enterprise)间的制造知识进化,定义了系统框架和内部功能流程,探讨了基于混合语义分析的制造知识处理算法模型和模糊推理机制。由于获取SCIM体系内制造资源与服务后,面临多种同类或相似资源或服务的情况,资源选择是SCIM体系内的重要决策问题。论文通过多目标规划和单纯形法构造了虚拟资源优化选择问题模型及求解方法,通过平衡运输问题的求解思想建立选定资源后实现虚拟生产线上的任务分配问题模型,并给出求解方法。本文部分研究成果在某集团企业的实际案例中进行了应用,支撑了其持续智能化改造项目的实施,证明文章提出的SCIM体系结构及配套的资源分享、服务授权、制造服务动态配置及制造应用智慧遗传进化方案是可行的。资源分享、服务授权、制造服务动态配置及制造应用智慧遗传进化对复杂社会化关系的适应能力,资源与服务协同的租用资费、资源与服务隐私、双通道现场服务总线在数字制造设备上的实现是今后进一步研究的重点。
[Abstract]:Intelligent manufacturing is an issue of continuous concern in the industry, its supporting technology system is in the continuous development. The narrow sense of intelligent manufacturing focuses on the automation of manufacturing, the integration of different business systems within the enterprise, the flexibility of the production line and the agility of the factory manufacturing business, and the synergy in the enterprise group. Manufacturing under the Internet Environment In this paper, a systematic study of the knowledge system related to intelligent manufacturing and collaborative manufacturing at home and abroad, the structure of the body system, a series of related concepts, and a series of related concepts are given. The solutions are analyzed and discussed around the sharing of manufacturing resources, the selection and distribution of manufacturing resources, the manufacturing of joint service access and authorization, the combined evolution and inheritance of the dynamic demand configuration manufacturing process and manufacturing intelligence. The paper first discusses the CIMS (Computer/Contemporary Integrate) from the perspective of technology and integration framework. D Manufacturing System) elements, architecture, system modeling methods and their evolution; agent features, models, organizational features and coordination and collaboration methods and enhanced learning mechanisms and genetic algorithms; manufacturing socialized features and virtual organizations; manufacturing agile and flexible characteristics; cloud manufacturing technology and thought development; German industry 4 CPS (Cy Ber-Physical System) framework, data standardization and dynamic configuration of production line targets. The article compares the connotation and extension difference of different IM concepts. This paper puts forward the concept of socialized Cooperative Intelligent Manufacturing SCIM (SNS-Based Collaborative Intelligent Manufacturing System) for the problem of manufacturing service coordination under loose coupling environment. The IMR (Intelligent Manufacturing Resource), the whole manufacturing service cycle TMSL (Total Manufacturing Service Lifecycle), the virtual production line VPL (Virtual production), are used to construct a reference model of the architecture, and the two cooperative models are designed. On), the sub package mode and custom product pattern under E2P are designed, and the interactive scene of collaborative design, process collaboration, virtual inventory coordination, and MRO (Maintenance, Repair and Operation) is given under the SCIM architecture. The paper extends the ESB (Enterprise Service Bus) to the distributed cooperative manufacturing bus. Ative Manufacturing Bus) and a preliminary implementation method through UDDI (Universal Description Discovery and Integration) replication and update; based on microservice architecture, a micro service manufacturing unit MMSU (Micro Manufacturing) is proposed, and its operating mechanism and message mechanism and integration of the legacy system are analyzed. Digital manufacturing equipment, the dual channel field service bus DC-OS (Dual Channel-Onsite Service), the digital manufacturing equipment into the dynamic manufacturing process configuration process. In the SCIM system, the key process links include the sharing of manufacturing resources and services, the optimization of resources and services, the security authorization of manufacturing services, cross enterprise The dynamic manufacturing service process configuration and the loosely coupled intelligent evolution and genetic process of manufacturing applications are loosely coupled. Aiming at four aspects, the paper studies the related technology in the fourth chapter and gives the solutions. First, the mechanism of point to point LDAP service discovery and resource synchronization based on open LDAP and JXTA protocol is proposed, and then the fusion is studied. Combined CA and O Auth SCIM system, the cross trust domain application service joint authentication and authorization scheme, and then design the manufacturing service process engine model structure oriented to the socialization cooperation, analyze the interaction between the process engine and the manufacturing resource directory service, the driver of the process engine to MMSU agent and the message mechanism between the process nodes; Finally, the genetic algorithm is applied to the evolution of manufacturing knowledge between IME (IM-ed Enterprise), the system framework and the internal functional process are defined, and the manufacturing knowledge processing algorithm model and fuzzy reasoning mechanism based on the mixed semantic analysis are discussed. The choice of resources is an important decision problem in the SCIM system. Through multi objective programming and simplex method, the paper constructs the model and solving method of the optimization selection problem of virtual resources. The task allocation problem model of virtual production line is realized after setting up the selected resource by the solution thought of the balance transportation problem, and the solution method is given. The results of this paper are applied in the actual case of a group enterprise, supporting the implementation of its continuous intelligent transformation project. It is proved that the SCIM architecture and supporting resource sharing, service authorization, dynamic configuration of manufacturing services and the intelligent genetic evolution scheme of manufacturing application are feasible. Resource sharing and service teaching are feasible. Right, the dynamic configuration of manufacturing services and the ability to adapt to the complex socialized relationship, the renting tariff of resources and services, resources and service privacy, and the realization of the dual channel field service bus in the digital manufacturing equipment are the key points of the future research.
【学位授予单位】：中国科学院国家空间科学中心
【学位级别】：博士
【学位授予年份】：2015
【分类号】：TH166;TP18

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