A Method for Determining the Pressure of Non-monitoring Nodes in Water Supply Network Based on Geostatistical Spatial Analysis Theory

Abstract

The invention discloses a method for determining the pressure of a non-monitored node in a water supply pipe network based on geostatistical space analysis theory. The known node pressure uses the universal Kriging interpolation method to interpolate the pressure of the non-monitored node, so as to obtain the node pressure of the water supply network without monitoring points; during the interpolation calculation, the relative change of the pressure between nodes is used to replace the pressure in the universal Kriging interpolation method. Euclidean distance of . The present invention adopts universal kriging interpolation method, combined with the characteristics of the pipe network, replaces the Euclidean distance with the relative pressure change, uses the design parameters of the water supply pipe network to calculate the relative change of the pressure, and selects a variation function model suitable for the hydraulic characteristics of the water supply pipe network. The water supply pipe network has no node pressure of the monitoring point to calculate and predict, with high calculation accuracy and strong feasibility.

Description

technical field [0001] The invention relates to a method for determining the pressure of a non-monitoring node in a water supply pipe network. The method is helpful for data expansion in the case of insufficient hydraulic monitoring data of the pipe network, and can provide technical support for pipe network optimization scheduling and leakage detection, belonging to urban water supply pipes. Network hydraulic analysis, pipeline network scheduling and leakage detection. Background technique [0002] The safe and stable operation of the water supply network is related to the normal life of urban residents, the normal production of urban enterprises, the safe operation of public facilities and urban fire safety. In recent years, with the rapid development of computer technology, the water pressure or flow automatic detection system of the water supply network is gradually being established, that is, the SCADA (Supervisory Control And Data Acquisition) system. Automatic real-t...

AI Technical Summary

Problems solved by technology

The advantage of the neural network model is that it has a strong ability to simulate nonlinear mapping, but when simulating the macroscopic working conditions of the water supply network, it completely avoids the structure of the water supply system network, resulting in low simulation accuracy

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