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为了提高校园网络设备维护效率,加强设备状态监控和优化设备配置,提出了基于故障树的网络设备智能诊断系统的设计思路。着重分析了该系统的功能定位、运行机制和层次结构,阐述了核心模块智能诊断方法的选择和基于故障树的智能分析过程,并以实例说明了故障树生成及应用。对智能诊断系统在高校仪器设备管理中应用有较好的参考作用。
In order to improve the maintenance efficiency of campus network equipment, strengthen the monitoring of equipment condition and optimize the equipment configuration, a design idea of network equipment intelligent diagnosis system based on fault tree is proposed. The function positioning, operation mechanism and hierarchy of the system are emphatically analyzed. The selection of the intelligent diagnosis method of the core module and the intelligent analysis process based on the fault tree are expounded. The generation and application of the fault tree are illustrated by an example. Intelligent diagnosis system in the university equipment management application has a good reference.