The Research Of Key Issues Of Product Knowledge Management

With the integration of industrialization and informationisation,the management information system in manufacturing enterprises is evolving to be more intelligent, and Knowledge Management System is playing more important role.The knowledge management in product life cycle of design,manufacture and service is vital to manufacturing enterprises,especially for the sustainable development.The importance of product knowledge management has attracted attentions from many scholars,however most of whom are focusing on the concept and theoretical framework.In China only few have researched on the application of product knowledge management system,and this is one of the primary factors that restrict the effectiveness of the knowledge management in manufacturing enterprises.The dissertation focuses on the principles,methods and applications of key issues of Products Knowledge Management in manufacturing enterprises,and it includes the following sections:1.Product design knowledge modeling technologyThe dissertation focuses both on the product design process modeling as well as the semi-automated modeling problems of product design knowledge.A combination of existing major ontology modeling method is proposed-minimal associated integrated approach.The approach is proposed for exploring a more practical ontology modeling process.For different kinds of product design knowledge,different semi-automated modeling methods are proposed:For the semi-structured and unstructured product design knowledge,for example, Web text,ontology learning technology method is employed.The dissertation researches the creation of domain ontology and the classification of domain ontology. A classification algorithm of domain ontology is proposed,and its effectiveness is verified.The original ontology is used for the knowledge representation of heterogeneous Web text,and a pattern recognition algorithm is proposed.For the update and supplement of the domain ontology,a new semantic relationship algorithm is proposed.For the structured product design knowledge modeling,an UML-OWL mapping methods is proposed,these UML models developed in information systems can be transformed into ontology model for facilitating the model of structured product design knowledge.And the principle of the mapping methods is studied.The modeling method can increase the efficiency of developing ontology and reusing ontology,contribute to the universal application of the ontology implementation, expand the research team of ontology,and strengthen the integaration of enterprise information systems.2.Product design knowledge retrievalAfter discussing the common knowledge representation languages,the dissertation proposes a method of the knowledge representation method of the product concept,and the knowledge representation method of the product design knowledge among the product development process.The method of the storing method of prot(?)g(?)-based research and product design knowledge base is discussed.The semantic tagging method based on semantic dependency relations is proposed,and the dissertation also semanticly joins with the semi-structured and unstructured Web text and the domain ontology.And the effectiveness of the semantic dependency is validated.A product design knowledge retrieval engine based on Jena is developed.The engine uses the latest SPARQL language and is implemented in the product knowledge management.The advanced of the engine has been validated,and this retrieval engine is simple but intuitive.It realizes the intelligent retrieval and reasoning of the product design knowledge.For the realization of user preferences during the process of the product design knowledge retrieval,an extended algorithm of the feature lemma's weight in the users' preference database is proposed.Experiments indicate that the algorithm recall and precision compared with the other algorithm has certain advantages.3.The research of product process knowledge managementAt present,the most domestic research of knowledge management of process is limited to the specific characteristics of parts and machinery products,which is a limitation of the application and promotion of the process knowledge management system.While the dissertation presents a universal product process decision-making knowledge management model,using a unified Parts characteristics information model;the process knowledge base building method with the abstract and general"properties"or"classes";and a universal process knowledge reasoning model.These methodologies effectively guarantee the general use of process knowledge management system.4.The research of product fault diagnosis knowledge managementAt present the most domestic research of fault diagnosis are focused maily on device-specific expert systems.The versatility of these methodologies is not strong.In order to develop efficient and common applicability of the fault diagnosis knowledge management model,the dissertation proposes a fault diagnosis knowledge reasoning model using artificial neural network technology.In order to overcome the shortcomings of complex structure and slow training of neural network, a partially connected neural network(PCBP)is constructed.Some related algorithms are discussed and the usability of PCBP was validated by experiments.5.Product knowledge management constructionEnterprise knowledge management construction is vital to the implementation and application of product knowledge management system.By combining the research results of the product design knowledge model,the product design knowledge retrieval,product process decision-making knowledge management,and product fault diagnosis knowledge management that proposed in the dissertation,a software prototype is developed.The application of the software prototype has satisfied achievements.The validation proves that the product prototype knowledge management system can promote the enterprise knowledge management level.The reseach results of the key issues of product knowledge management in this dissertation are validated.