Abstract: Thermal power coal-fired units have more and more demand for deep peak load regulation, energy conservation and consumption reduction, and carbon emission reduction. Under the traditional monitoring mode, the operators of power plant have some problems, such as high working pressure, late discovery of abnormal parameters, and fault judgment not in time. Therefore, the research and application of intelligent monitoring system are carried out. Based on the industrial Internet platform and the application of advanced technologies such as big data and artificial intelligence, the monitoring model is built by integrating mechanism rules and intelligent algorithm to realize the analysis of abnormal key parameters of equipment and the prediction of equipment faults, turn the passive processing of sudden faults into early warning of parameter abnormalities and equipment faults, and operation guidance is automatically pushed to operators to assist them in exception handling. From the practical application effect, the intelligent monitoring system has achieved good results. By replacing part of manual monitoring with intelligent monitoring system, the labor intensity and monitoring pressure of operators are greatly reduced, and the safety and economy of coal-fired unit are improved.