导　　师： 顾新建

学科专业： 080201

授予学位： 博士

作　　者： ;

机构地区： 浙江大学

摘　　要： 知识的交流与共享是产生创新的一大前提，创新需要知识的流动和碰撞。知识的交流与共享正逐渐成为个体及群体互动的基本模式，成为提高绩效的一条重要途径。知识共享是网络化制造中的一个重要特征，知识共享促进了网络化制造中企业、人员之间知识的流动，知识的流动不是漫无目的的，需要通过控制实现有序的流动。本文以网络化制造为背景，系统地对知识的建模方法、网络化制造中知识的资源空间模型、网络化制造中的知识流及其控制模型、网络化制造中知识流的控制策略、网络化制造中知识流与工作流的集成控制等问题进行了研究，并结合实际项目将上述理论应用于企业的网络化制造中，取得了良好效果。 全文的主要研究内容为： 第一章综述了网络化制造、知识流的研究现状，对论文研究的主要相关领域：资源空间模型技术、知识管理技术、网络协同技术、控制技术的研究及发展进行了论述：在现有知识流研究的基础上阐述了本论文的研究背景、内容和意义。 第二章将资源空间模型引入网络化制造中的知识建模，对资源空间模型的性质进行了扩展：研究了资源空间模型中知识的矩阵表示、知识的合并、知识的集成、知识的语义关联、知识的语义推理、知识的匹配等，为知识流的控制提供理论和方法层的支持。 第三章结合资源空间模型的扩展性质，根据知识流的过程建模元素确定知识流的过程模型结构图，并在模型结构图的基础上选择状态变量建立网络化制造中知识流过程控制的数学模型；提出了知识流控制的总线模型；分析了控制模型支持下的知识流引擎结构；提出了串联、并联、反馈等形式构成的知识流过程控制组合数学模型的建立方法。 第四章在知识流的控制模型基础上，分析了知识流的控制策略，研究了知识流动态控制的实现结构，将资源空间模型应用于网络化制造中知识节点的状态描述，研究了知识流动态控制的信息获取方法；提出了知识流动态控制的多目标决策方法；研究了知识流控制的以工作流驱动的知识主动推送策略。 第五章在分析了现有的工作流建模方法基础上，提出了面向知识流集成的工作流本体模型，利用本体模型实现工作流的顺序、并行、选择、返回等路由结构：研究了知识流与工作流的集成控制面板、知识流与工作流的集成控制框架：提出了基于知识供应约束、基于有效时间、基于知识需求变化的知识流与工作流的集成控制算法。 第六章结合国家自然科学基金、国家863项目及浙江省重大科技攻关项目，开发了知识流管理工具、知识库管理工具、资源空间模型管理工具、工作流管理工具来实现网络化制造中的知识流控制，从而初步验证了网络化制造中知识流控制技术的正确性和实用性。 第七章总结全文的主要研究内容和成果，并给出今后的研究重点。 The communion and sharing of knowledge is an important precondition to innovate. Innovation needs the flow and collision of knowledge. The communion and sharing of knowledge is gradually becoming a basic mode for the interaction among groups and individuals, an important approach to improve performance. In networked manufacturing, the sharing of knowledge is an important characteristic, which promotes knowledge to flow among enterprises and individuals. The flow is not aimless, but orderly through control. Based on networked manufacturing, the method of knowledge modeling, the property of knowledge flow in resource space model, the controlling model and the controlling strategy of knowledge flow, the integrating control between knowledge flow and workflow are studied. Furthermore, the new method and technology were applied to networked manufacturing of enterprise through practical project, and good results were attained. The main study of this dissertation is as follows: In chapter 1, an overview of the current situation of networked manufacturing and knowledge flow is given and some technologies that are about the main studying field of this dissertation are analyzed, such as resource space model, knowledge management, web collaboration, controlling technique etc. On the basis of current study of knowledge flow, the research background, main contents, purpose and importance of this dissertation are also discussed. In chapter 2, resource space model is used in knowledge modeling, and its properties are extended. The matrix description, combination, integration, semantic reasoning and semantic search on knowledge by resource space model are studied. All of these are the theory and method basis of control on knowledge flow. In chapter 3, in terms of the extended properties of resource space model and the combination, offshoot, feedback of knowledge flow combined with the process modeling elements, the structure chart of knowledge flow process model can be ascertained. On the basis of the state structure chart, the mathematical model on process control of knowledge flow can be built through chosing state variables. A bus model of knowledge flow control is presented, and based on the control model the knowledge flow engine is established. A building method of mathematical model on process control of knowledge flow is presented for several common knowledge flow types, such as series, parallel, feedback etc. In chapter 4, on the basis of knowledge flow control model, the control strategy of knowledge flow is presented. The implementating structure of dynamic control is studied and the resource space model is applied to the state description of knowledge node to acquire the state information in networked manufacturing. The multi-aim decision on dynamic control of knowledge flow is presented and the knowledge active pushing strategy driven by workflow is studied. In chapter 5, after several existing workflow modeling methods are analyzed, the ontology model of workflow for integration with knowledge flow is proposed. While the series, parallel, choice and feedback type of workflow are realized through workflow ontology and the relationship between knowledge flow and workflow is studied in networked manufacturing, in which the integrating control model and integrating control frame between knowledge flow and workflow are discussed. At the end of this chapter several integrating control algorithms for knowledge flow and workflow are given, which are based on the limit of knowledge provider, the limit of the time and the changement of knowledge acquisition. In chapter 6, supported by China Natural Science Fund, China 863 Hi-tech Program and Zhejiang Province Manufacturing Enterprise Information Program, a system framework on the control of knowledge flow in networked manufacturing is presented and a knowledge flow management tool, a knowledge base management tool, a resource space model management tool and a workflow management tool are developed to realize the control of knowledge flow in networked manufacturing. An example on eddy current retarder is given to test the validity and the practicability of the control of knowledge flow in networked manufacturing. In chapter 7, all achievements of this dissertation are summarized and the future research work is put forward.

关 键 词： 网络化制造 知识流 控制 资源空间模型 状态空间 工作流 本体 知识管理 动态控制 网络协同

分 类 号： [TH166]

领　　域： [机械工程]