Urban water supply pipe network DMA zoning method

Abstract

The invention relates to an urban water supply pipe network independent metering zoning (DMA) method based on a spectral clustering algorithm (SC) and a multi-target particle swarm-superior and inferior solution distance method (MOPSO-TOPSIS). The method comprises the following steps: establishing a pipe network hydraulic model; obtaining basic data of a pipe network; according to the pipe network service population and the international general DMA scale, determining the interval of the pipe network partition number; carrying out pipe network partitioning by using an SC algorithm, and obtaining an optimal partition number through partition evaluation indexes; obtaining a partitioning result and a boundary pipeline of the pipe network according to the number of the partitions; obtaining a series of Pareto optimal solutions for installing valves and flowmeters on the boundary pipe sections through an MOPSO algorithm; and performing scheme decision through a TOPSIS algorithm. The invention provides a set of advanced urban water supply network zoning method, the defect that traditional partitioning mainly depends on artificial experience is overcome, the hydraulic water quality characteristics of the water supply network are considered, and the invention has remarkable advantages in the aspects of effectively reducing the leakage amount of the water supply network and the partitioning cost and ensuring the water supply quality.

Description

technical field [0001] The application belongs to the technical field of urban water supply network design, and specifically relates to a method for performing independent metering and division (DMA) on the water supply network, especially a DMA division method for the urban water supply network based on SC and MOPSO-TOPSIS algorithms. Background technique [0002] With the rapid development of my country's economy and the intensification of urbanization, the population of urban water supply is increasing. In 2019, the penetration rate of urban water supply in my country has reached 98.78%, but at the same time it has also brought some problems. The urban water supply network The leakage rate has remained high. According to the "Water Pollution Prevention and Control Action Plan" (Water Ten Articles) issued by the State Council: by 2020, the leakage rate of the national public water supply pipe network will be controlled within 10%. In 2019, the leakage rate of my country's ...

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Problems solved by technology

[0005] The present invention aims at the defects existing in the urban water supply pipe network partitioning method of the prior art, and proposes a method based on SC (i.e. "spectral clustering algorithm") and MOPSO-TOPSIS (i.e. "multi-objective particle swarm-superior and inferior solution distance") The DMA partitioning method of the urban water supply network based on the algorithm solves the problem that most of the existing urban water supply network partitioning methods rely on experience or some steps rely on experience

In the detailed technical scheme of the present invention, the multi-objective particle swarm algorithm is used to solve the model, while reducing the leakage rate of the pipe network and the partition cost, taking into account the hydraulic and water quality characteristics of the water supply pipe network, and solving the problem of the pipe network that may be caused by single-objective optimization. The problem of service performance degradation; use the multi-objective particle swarm optimization algorithm to solve the schemes for multiple urban water supply network partitions, and then further use the good and bad solution distance method to comprehensively evaluate each scheme, and select the scheme with the best comprehensive benefit as the final partition solution, which solves the problem that the designer still needs to rely on experience to select the final solution after multi-objective optimization in the prior art, which makes the design difficult and is not conducive to the promotion and application of DMA partitions

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