The invention discloses a partition metering leakage monitoring management system based on Internet of Things and machine learning, which comprises a PC end system, a mobile phone end system and a background module, and is characterized in that the mobile phone end system is in communication connection with the PC end system and the background module. According to the invention, through partition establishment, remote transmission data collection and intelligent alarm in the system, the leakage sensing and positioning time can be greatly shortened, and quick discovery and quick disposal are realized. The leakage is effectively reduced, the rebound of the leakage can be prevented, and the continuous reduction of the leakage rate of the pipe network is facilitated. And through an intelligent decision analysis function of the system, comprehensive evaluation is carried out on partition leakage and running conditions according to multiple indexes of the partition. The system provides a convenient and easy-to-use operation interface, and the operation process is simplified; in the aspects of data analysis and management, the system comprehensively evaluates partition stock leakage evaluation, leakage alarm and processing through intelligent decision analysis data, and generates a corresponding summary report as required.