A dma partition method for urban water supply network

Abstract

The present invention relates to a kind of method based on spectral clustering algorithm (SC) and multi-objective particle swarm-superior solution distance method (MOPSO-TOPSIS) independent metering partition (DMA) method of urban water supply pipe network, comprising: establishing a pipe network hydraulic model ; Obtain the basic data of the pipe network; determine the interval of the number of pipe network partitions according to the service population of the pipe network and the scale of the international general DMA; use the SC algorithm to partition the pipe network, and obtain the optimal number of partitions through the partition evaluation index; obtain the pipe network according to the number of partitions The partition results and boundary pipelines; use the MOPSO algorithm to obtain a series of Pareto optimal solutions for installing valves and flowmeters on the boundary pipeline sections; use the TOPSIS algorithm to make program decisions. The present invention provides a set of advanced urban water supply network zoning methods, which overcomes the disadvantages of traditional zoning mainly relying on manual experience, and takes into account the hydraulic and water quality characteristics of the water supply network, effectively reducing the leakage of the water supply network and the cost of zoning, It has significant advantages in ensuring the quality of water supply.

Description

technical field [0001] The application belongs to the technical field of urban water supply pipe network design, and in particular relates to a method for independent metering partition (DMA) for water supply pipe network, especially a DMA partition method for urban water supply pipe 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 number of urban water users 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 leakage rate has remained high. According to the released "Water Pollution Prevention and Control Action Plan" (Water Ten Articles), by 2020, the leakage rate of the national public water supply pipe network shall be controlled within 10%. In 2019, the leakage rate of my country's public water supply remained at 14.1%, and the amount of ...

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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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