The Multi-Agent Net Fault Diagnosis System Model Based On FPN Reasoning

The high speed developed information technique bring people tremendous convenience, but at the same time, the information network in the development also put forward a challenge to people, which the network equipments' complication makes the network management become more complicated, the economic performance of network depends on the stabilize movement of network more and more. The research of the network fault diagnosis, especially intelligent diagnosis, has become an important field currently.Currently, fault diagnosis system based on multi-agent can raise the vivid of fault diagnosis effectively and release the diagnosis time. In the traditional multi-agent diagnosis system, fault diagnosis often uses the reasoning method that combining the case and the expert system. The expert system based on the rule has the advantage that the rule is easy to read, the changing, explaining and the reasoning is easy, but it has the problem, for example: the difficult to get the knowledge, the explosion during the logic reasoning. The fuzzy petri net (FPN) is a model tool based on the fuzzy rule, it can distribute the fault state creation and speed of the network. Therefore, this article puts forward a kind of network fault diagnosis model, which using fuzzy petri net reasoning diagnose the network fault in the model based on the multi-agent, it get the credibility during an example and analyze the system function.The researches of this thesis include:(1) To analyze the backward reasoning algorithm and discuss the method of simplifying a FPN model to reduce the calculation complexity.(2) The FPN reasoning is embedded into the diagnosis module of the mobile agent. The network fault diagnosis method based on fuzzy petri net reasoning is proposed. The function of the components and the working principle of the module are minutely illuminated.(3) The model is descripted using Java language. Taking a network fault for example, the diagnosis reasoning is circulated. At last the performance is analyzed.