NC Device Faults Intelligent Diagnosis System Based On Network

With the rapid development of computer network technology, it has been possible to realize remote monitoring and fault-diagnosis of device. In this thesis, we take NC device as the research object and have developed an intelligent diagnosis system based on computer network. It adopts three-layers structure that include NC device layer, diagnosis agent layer and remote diagnosis center layer. It is a complete system by using popular computer network currently to connect with these three layers. In this thesis, we have introduced the structure, function and realization technology of the system in detail. In particularly, it includes such main contents as follow. Firstly, based on studying the architecture of hardware and software and the present state of network application of HuaZhong CNC system, we have studied the function object, capability indexes of this NC device intelligent diagnosis system based on network by taking HuaZhong CNC device as research object. In addition, we have proposed the whole structure of the system and pointed out its characteristics. Secondly, according to the function object of diagnosis agent, we have designed its function modules in detail. The main contents are as follow: the design of users management module, device communication module, interior web server module, video server module and audio server module, etc. Thirdly, CBR diagnosis method used in this system has been introduced particularly. Moreover, it has been used in the diagnosis process of NC device so that the intelligent fault diagnosis of NC device is accomplished. In the meantime, the diagnosis module of agent is introduced specially in the paper. Finally, a general testing has been carried out. The running interfaces are showed in the sixth chapter. The main testing contents are in the follow: the connection of NC device and agent, the management function of agent, the fault-diagnosis function of agent, remote monitoring and diagnosis function, the running of remote diagnosis center, etc.