Research On Remote Intelligent Diagnosis Technology And Application For Complicated Equipment

Under the environment of manufacturing development which trends to global manufacture and fierce competition, if the manufacture enterprises want to win victory, product quality is the kernel and high quality service is the guarantee. In order to adapt above manufacturing trend, both the content and the form of enterprise service are extended. Fault diagnosis means importance to decrease accident, to descend economy loss, to increase added value, and to enhance competition in the production, so it becomes significant ingredient and research emphasis of enterprise service. With the development of mordern equipment towards high speed, high availability, complication and networking increasingly, it is more and more difficult for traditional service mode and fault diagnosis technology to meet the request of equipment diagnosis, remote and intelligent diagnosis become an important research direction and necessary tendency. By analyzing the shortage and limit of tranditional diagnosis in the way of technology and method, this paper brought up to constructe open public service platform, melted the knowledge engineer and artificial intelligence and distributed theory into fault diagnosis field, and researched the intelligent diangosis technology based on knowledge and relevant theory and system architecture.Firstly, the architectural structure of the remote and intelligent diagnosis system is researched. By analyzing fault characterist of complicated equipment and limitation of traditional diagnosis mode, the idea of constructing open public service platform was brought forward to realize sharing and integration of technology, resource and knowledge, and the system architecture characteristic and critical technology of realization were exhausted in order to provide technology support and guarantee for the successful execution of remote and intelligent diagnosis.On the basis of research on architectural structure of the system, intelligent diagnosis based on knowledge was brought up as the kernel content of this paper. From the view of dialectical relationship among information, knowledge and intellegence, and from the demonstration of the internal similarity between intelligent behavior and self-organizing, the principle of intelligent diagnosis and self-organizing process planning mechanism was researched. The stratify location principle of fault was researched and self-organizing process of intelligent diagnosis was expanded on from the aspects of task decomposition, process double restraint and the forming of knowledge chain.The important marking of intelligent system is in possession of knowledge, the quantity and quality of knowledge are the key factors to decide the performance of intelligent system, so knowledge access become important contents of intelligent...