Analysis method and system for flow state detection of drifting ball type drainage pipe network

Abstract

The invention relates to an analysis method and system for flow state detection of a drifting ball type drainage pipe network, a drifting ball is thrown into a pipe of the drainage pipe network for drifting, and when the drifting ball flows through a pipe well position of the drainage pipe network, the drifting ball and a signal receiver on the pipe well are subjected to code matching and send drifting ball data; and the signal receiver sends the drifting ball data to a signal transmitter on a tube well, the signal transmitter uploads the drifting ball data to a big database, and then the drifting ball data is imported into water conservancy model analysis software. The system has the advantages of being simple in structure, reliable in technology, convenient to install and dynamic in detection, the flow velocity and flow can be monitored by directly throwing the drifting ball into a drainage pipeline, and after drifting ball data are imported into water conservancy model analysis software, the running health degree of a drainage pipeline network can be evaluated; and a decision basis is provided for municipal pipe network planning construction and reconstruction, and popularization and application are facilitated.

Description

technical field [0001] The invention relates to the field of water quality monitoring, in particular to an analysis method and system for detecting the flow state of a floating ball drainage pipe network. Background technique [0002] In recent years, my country has paid more and more attention to the construction of urban livable environment, especially the urban flood control and drainage system and rainwater drainage management. With the development support of Internet of Things, big data, SCADA, NB, 5G, batteries and other technologies, smart pipe network monitoring equipment is It is widely used in drainage management to realize the analysis and management functions of pipeline network operation status such as visualization, dynamics, real-time monitoring and early warning of pipeline network operation data. [0003] At present, most of the pipeline network monitoring technology equipment adopts fixed detection methods (water level, flow, mud level and other detection eq...

AI Technical Summary

Problems solved by technology

Commonly used flow detection equipment such as electromagnetic flowmeters and ultrasonic flowmeters cannot accurately calculate the flow rate in the state of a partially filled pipe. Although the use of a Doppler ultrasonic flowmeter can solve the problem of flow rate and flow measurement in a partially filled pipe, the cost of a single set of equipment The price is high, the supporting power supply is required, and the installation process is complicated. Combining various existing technologies, it is not suitable for popularization, so that the intelligent management and control of the drainage pipe network cannot achieve the expected effect

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