Partition metering leakage monitoring management system based on Internet of Things and machine learning

Abstract

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.

Description

technical field [0001] The invention relates to the technical field of water supply and leakage management systems, in particular to a monitoring and management system for zone metering and leakage based on the Internet of Things and machine learning. Background technique [0002] District Metering Area (DMA for short) is an independent area that is cut and separated in the water supply and distribution system. Usually, valves are closed or flow meters are installed to form virtual or actual independent areas. The zonal metering system is to measure the amount of water entering or leaving these DMA areas, and analyze the flow to quantify the leakage level, so that leak detection personnel can more accurately decide when and where leak detection is more beneficial, and carry out active leakage control , and finally achieve the purpose of controlling leakage and gradually reducing the difference between production and sales. Most existing systems only establish DMA and displa...

AI Technical Summary

Problems solved by technology

Most existing systems only establish DMA and display the collected data, but in terms of partition operation, including equipment failures, system problems, online intelligent verification and closed-loop verification, effective monitoring is not achieved, and partitions are not partitioned in practice Inventory leakage assessment, leakage alarm, closed-loop management

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