Underground water supply pipeline water leakage sound signal collection and compression method

Abstract

The invention discloses an underground water supply pipeline water leakage sound signal collection and compression method which is used for leakage point sensors to supply sound wave data required forleakage water detection to a background server. The method comprises the following elements: optimization of the layout space of the leakage point sensors; selection of working time periods of the sensors; sound wave signal sampling frequency allocation and sampling; sound signal lossless compression. According to the method, the processing power consumption and wireless communication flows of the leakage point sensors are effectively reduced.

Description

technical field [0001] The invention belongs to the technical field of water leakage detection and relates to a method for collecting and compressing sound signals of water leakage in an underground water supply pipe network. Background technique [0002] my country's water resources are short and unevenly distributed in time and space. At present, more than 400 of the more than 600 cities across the country are short of water, and more than 100 of them are seriously short of water. Among the 32 megacities with a population of more than one million, 30 suffer from water shortage for a long time. This problem is exacerbated by the waste of water resources caused by leaking underground water pipes. According to the statistics of 408 cities, the average leakage rate of my country's urban water supply pipe network is 21.5%, and the national urban water supply leakage is nearly 100×109M 3 / year, equivalent to more than 4 billion KWh of electricity consumption, and there is an i...

AI Technical Summary

Problems solved by technology

However, there are generally two major problems in the existing leak point sensors: the working frequency design of the sensor is not appropriate, which exceeds the upper limit of the normal sampling of water leakage vibration and sound waves, resulting in an unnecessary increase in the power consumption of additional data processing; the data is directly transmitted without compression , increasing the consumption of wireless communication bandwidth resources