A method for optimizing the pressure of a water supply pipe network by the most unfavorable point pressure based on big data

Abstract

The invention provides a method for optimizing the pressure of a water supply pipe network at the most unfavorable point pressure based on big data, which comprises the following steps of (1) connecting a GPRS pressure record collector and a PLC frequency converter into a water supply network pipe for detecting the factory leaving water pressure of a water plant; (2) according to changes of seasons, climates and temperatures, recording wave crests and wave trough values of the delivery water pressure in the period of time from data of the GPRS pressure recording collector, and obtaining critical pressure values corresponding to the wave crests and the wave troughs in different environments. The method is low in investment, and only one or more GPRS pressure recorders need to be installedat the most unfavorable point. Compared with a pressure reducing valve, the investment is only one tenth of that, the operation is simple and can be realized by simply programming through the frequency converter PLC, so that the manpower is saved. The big data mining and analysis are carried out, and a pressure optimization mathematical model is established. The method is suitable for leakage control of the whole urban water supply system, and the water resources can be saved by more than 20%.

Description

technical field [0001] The invention relates to the field of regulation and control of water supply pipe networks, in particular to a method for optimizing the pressure of water supply pipe networks with the most unfavorable point pressure based on big data. Background technique [0002] Because the traditional pressure optimization is to reduce the pipe network burst and leakage by installing a pressure reducing valve at the inlet of a certain area of ​​the pipe network pressure to reduce the pressure of the local pipe network. Due to the small range of local decompression, high investment costs and only suitable for small pipe diameters (pipe networks below DN300mm), the effect of reducing and controlling leakage is very limited. This kind of pressure optimization cannot be called pressure optimization, but at most it is decompression. In addition, the pressure of the local pipe network needs to set up a bypass valve to solve the problem of the AC power supply, and to ens...

AI Technical Summary

Problems solved by technology

In addition, the pressure of the local pipe network needs to set up a bypass valve to solve the problem of AC power supply, and to ensure that the area is completely isolated and closed. The operation is quite difficult, and the manpower, material and financial resources invested are quite high.

In addition, in areas with large terrain drop, the quality of the pressure reducing valve is poor. Often the valve cannot be closed or opened when it is closed, which seriously affects the normal water supply and leakage control.

Therefore, the traditional pressure optimization has too much control limitation, it is difficult to be effectively promoted, and the economy is poor

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