Abstract: In this study, the water IoT monitoring technology is used to analyze the typical areas. Based on online monitoring data, an IoT monitoring and pipe network problem diagnosis system, with data statistical analysis as the core, was built to intelligently diagnose the operating status of pipe network, analyzed the problems of drainage pipe network such as inflow infiltration, siltation and overflow, and grasped the operating status of the entire drainage system under different working conditions. The results showed that IoT monitoring technology can help identify drainage network problems and effectively reduce the cost of troubleshooting drainage system problems. By carrying out the assessment of infiltration risk, siltation risk, and overflow risk, we can identify the pipe segments with possible problems, and provide data support for the subsequent network renovation work. The project can provide an experience for other cities to promote IoT monitoring technology.