Rapid water supply network model correction method for adjusting node flows and pipeline resistance coefficients at same time

Abstract

The invention provides a rapid water supply pipe network model correction method for adjusting node flows and pipeline resistance coefficients at the same time. The method comprises the following steps of: grouping and initializing pipeline resistance coefficients; grouping and initializing node flows; calculating a residual error between an observed value at a monitoring point and a calculated value; calculating a pipe network monitoring point sensitivity matrix; calculating a parameter adjustment value; and updating a parameter value. The method has originality, is an important supplement inthe field of water supply pipe network model correction research, provides important technical support for intelligent online monitoring and management of water supply pipe networks, and has good population value and practical engineering application value.

Description

technical field [0001] The invention relates to the fields of municipal engineering and urban water supply pipe network. Background technique [0002] In recent years, with the growth of population and the development of urbanization, the structure of my country's urban water supply network system has become increasingly complex, resulting in difficulties in the operation and management of the water supply network, low operating efficiency, serious leakage, frequent pipe bursts, and high energy consumption for water supply. In order to solve these problems, it is necessary to establish a hydraulic model of the water supply network. With the help of the analysis of the hydraulic model, the intelligent management of the operation of the pipeline network can be realized, and it is of great importance to improve the operation efficiency of the pipeline network, reduce the leakage of the pipeline network, and save the energy consumption of the pumping station. meaning. [0003] ...

AI Technical Summary

Problems solved by technology

The node flow and pipe resistance coefficient of the actual pipe network model will affect the accuracy of the model, and they are interrelated. Therefore, the method of fixing one parameter and adjusting the other parameter is insufficient.

Moreover, the current inversion algorithm mainly improves the simulation accuracy of the main pipe flow of the pipeline network, but the correction of the node flow of the pipeline network has the disadvantage of poor accuracy, such as the unreasonable excessive or too small correction value of the node flow Phenomenon

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