Construction of Knowledge Base for Intelligent Fault Diagnosis of Computer Network based on Rule Engine

With the development of social science and technology, the amount of information people need is becoming larger and larger, and human society has already entered the information age. A typical communication network is generally composed of multiple service networks. When the network fails, it often causes alarm storms in the whole network. When a fault occurs in the network, how to judge the cause, nature and location of the fault as soon as possible is the key premise of troubleshooting. The rule engine technology has matured and is widely used in the development of application software in telecommunications, finance, insurance and other industries, but it is seldom used in the network management system. If the management policy is solidified in the system in the form of program code, then the adjustment and configuration of the system will be very complicated and time-consuming, and the system will be difficult to maintain due to over-reliance on the support of system developers, which can be well solved by using the rule engine technology for network fault management. As one of the five functions of network management, fault management is responsible for network fault detection, diagnosis and recovery. Its effectiveness and function are directly related to the availability and reliability of the managed network. Using rule engine technology to implement fault management system is a good choice. The research and application of network faults and their troubleshooting methods are of great significance to ensure the normal operation of the network and improve the reliability and availability of the network system. Aiming at the needs of network fault management, this paper studies the application of rule engine technology in network fault management system. Then, the construction of computer network intelligent fault diagnosis knowledge base based on rule engine is proposed.