System Research And Implementation Of Intelligent Network Management Based On BP Neural Network Fault Inference Model

With the development of our country's computer network and the advent of the 5G era,domestic network construction is advancing by leaps and bounds,the scale of network facilities is increasing,and business functions are becoming stronger and stronger.The traditional network management method has a large workload and low efficiency.Therefore,the network management system based on the three-tier organizational structure has become the future development direction of the network management system due to its outstanding advantages such as easy management,powerful functions,and scalability.In addition,with the emergence of emerging technologies,the network management industry has entered a new development model,so network management systems with intelligent fault diagnosis functions have also become one of the actual needs and industry key research content.Based on a comprehensive review,this paper deeply analyzes the application of artificial intelligence technology in network diagnosis,and on this basis,focuses on the BP network fault diagnosis model with routing interface as the object.The thesis uses six physical fault indicators and nine operating status indicators to train and obtain a BP neural network diagnosis model for network interface faults.Based on this,after analysis of needs,an intelligent network management system was designed and implemented based on actual application combined with BP neural network technology.The system is divided into four modules: user management,equipment monitoring,configuration management,and fault diagnosis.The user management module is used For users of management systems;the configuration management module can be used by users to remotely configure the devices in the network topology;the fault diagnosis module is the focus of the research in this paper,and the BP network fault diagnosis model is used to analyze and diagnose network faults;the device monitoring module shows the operation of network devices Parameters and operating status.This paper combines BP neural network with existing network management technology to design and implement a network management system with intelligent fault diagnosis function,which provides a certain reference and reference for the future development of such systems.