Research on Fault Monitoring Method of Information System Based on Machine Learning
Jianchao Guan, Jun Biao Lu, Wei Wang · 2023
A monitoring system based on machine learning has been established to achieve real-time early warning and positioning. By using MSP430F149 single chip microcomputer and FPGA, we form a communication cable fault detection system with high speed and variable collection rate. The combination of DTMF FM single-chip microcomputer MT8888 and MSM7512 single-chip microcomputer realizes remote alarm and data transmission. The process of program management and serial communication in Windows system is analyzed. The real-time communication corresponding to the serial port is realized by using low-level software design methods such as process injection and API hooking based on the serial port. Based on the network operation mode under the SNMP mode, the polling and reporting information under the network operation mode is analyzed. An alarm probability model based on SNMP mode is proposed. The actual test proves that this method is practicable, and provides a practicable method for the analysis of communication protocol mechanism and communication fault analysis.