Research Of Supervision Technology For Integrated Advanced Manufacture System

With the development of the new technology , the way of manufacture is changing. Then the advanced manufacture system is coming out. The characteristic of the advanced manufacture is the abroad use, celerity management, independence and complex communication net. With the development of the advanced manufacture system being flexibility, integration, intelligence and network, the demand to monitor and supervise is increasing. The characteristic of tradition mode which is high efficiency, haleness, safety can not meet the identity of multi-structure and multi-equipment. This paper has designed and carried out the monitoring system for integrated advanced manufacture system, in order to monitor sufficiently and ensure the efficiency of it.This paper takes the integrated advance manufacture system as the background, and in allusion to the characteristic of the advance manufacture system and to meet the need of the system fault diagnosis, and it does some concrete research on the fault diagnosis technology and diagnosis model technology. This model based on multi-field monitoring model is presented. The model includes two parts: the workshop fault diagnosis model and the factory one. A learning mechanism based on memory is presented, which can makes the expert system do diagnosing for the high frequent occurrence faults with higher priority, so that it can make a rapid diagnosis. In order to make the system accurate, the factory fault diagnosis part is based on the database share to the workshop part. For the purpose of good independency and maintenance of the expert's knowledge base, a knowledge expression method based on the post produce and object is presented.This paper has carried out two kinds of expert system, and it based on the memory and it based on traditional one. A contrast between the two respond time for fault occurrence and disappearance is made, and the conclusion is the first kind time is obviously less than the order. For the diagnosis of the factory part, a simulated diagnosis is made, and the experiment shows that the expert system built is valid.