Network fault diagnosis system

Abstract

The invention provides a network fault diagnosis system. The system comprises: a simple network management protocol (SNMP) communication module, a database management module, a core diagnosis module, a knowledge management module and a user interaction module. An expert system is used to carry out intelligent fault monitoring. And a hierarchy correlation knowledge representation model which is suitable for a network knowledge characteristic is designed and is used to carry out knowledge representation. A high-efficient inference machine rule matching algorithm is designed according to a network fault characteristic. The system is especially suitable for a small / medium-size local area network. The network fault monitoring and management can be intelligentized or half-intelligentized. An efficiency of network management can be improved and costs can be effectively reduced. The knowledge representation method can be conveniently used in the other engineering fields and has wide applicability.

Description

technical field [0001] The invention relates to a network fault diagnosis system for small and medium local area networks. Background technique [0002] With the rapid expansion of the network scale, the network structure is becoming more and more complex, the types of network devices are becoming more and more diverse, and the network security threats are more serious. Network management is getting more and more attention, and at the same time, higher requirements are put forward for network management. The purpose of network management is to maintain the normal operation of the network, improve network resource utilization, and ensure network performance, service quality, and security. The functions of network management include fault management, billing management, configuration management, performance management and security management, among which network fault management is an important aspect. Network fault management is to issue an alarm in time when the network is ...

AI Technical Summary

Problems solved by technology

The advantage of this type of network management system is that various statistical information is detailed and adaptable to changes in the network topology, but its disadvantage is also very obvious, that is, the participation of more professional network management personnel is necessary to analyze the statistical information of the network and Make judgments about network conditions

[0004] The traditional network fault management method not only requires the long-term participation of professional network management personnel, but also can only make a simple superficial analysis of network faults, and cannot provide the internal causes of network faults and predict network faults in advance

The specific shortcomings are as follows: (1) The fault diagnosis ability is not strong, and only simple information collection and Trap (trap, refers to the way the agent uses to report a warning or other asynchronous event about the managed subsystem) notification alarm , there is no effective ability to respond to more and more complex network faults; (2) For a network environment with a certain scale, using SNMP protocol for fault management will be inefficient and insensitive, and it will also affect the overall network operation efficiency. have a certain impact

(3) Due to the complexity of the network environment and the characteristics of the network architecture itself, the diversity and internal correlation of network faults are determined. It is difficult for the network management system based on SNMP to give deeper and internal causal explanations for network faults, and faults often occur Professionals must also participate in the diagnosis and repair of network faults; (4) Due to the security design flaws of the SNMP protocol itself, there are certain security risks in using this protocol for network management. Great improvement, but many network management software currently in use are still based on SNMPv1 and SNMPv2, so there are still concerns about security

Rule-based reasoning is an expert system in which reasoning is performed by matching events generated by the diagnosed system with built-in expert-level knowledge rules. It is one of the earliest and most mature intelligent diagnostic technologies, but rule-based expert systems have not yet been applied to Network fault diagnosis field

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