[1]史文韬,李红艳,崔建国,等.供水管网DMA分区及优选分区边界管段方法研究[J].中国给水排水,2024,40(3):60-66.
　SHIWen-tao,LIHong-yan,CUIJian-guo,et al.DMA Partition and Optimal Partition Boundary Pipe Selection of Water Distribution Network[J].China Water & Wastewater,2024,40(3):60-66.
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供水管网DMA分区及优选分区边界管段方法研究

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第40卷 期数: 2024年第3期 页码: 60-66 栏目: 出版日期: 2024-02-01
Title:
DMA Partition and Optimal Partition Boundary Pipe Selection of Water Distribution Network
作者:
史文韬1,2， 李红艳1,2， 崔建国1,2， 马熠阳1,2， 李尚明3， 张翀1,2， 王炳俨1,2
（1.太原理工大学 环境科学与工程学院，山西 晋中 030600；2.山西省市政工程研究生教育创新中心，山西 晋中 030600；3.太原理工大学 材料科学与工程学院，山西 太原 030024）
Author(s):
SHI　Wen-tao1，2， LI　Hong-yan1，2， CUI　Jian-guo1，2， MA　Yi-yang1，2， LI　Shang-ming3， ZHANG　Chong1，2， WANG　Bing-yan1，2
（1. College of Environmental Science and Engineering， Taiyuan University of Technology， Jinzhong 030600， China； 2. Innovation Center for Postgraduate Education in Municipal Engineering of Shanxi Province， Jinzhong 030600， China； 3. College of Materials Science and Engineering， Taiyuan University of Technology， Taiyuan 030024， China）
关键词:
供水管网;  DMA分区;  谱聚类算法;  多目标粒子群算法;  优劣解距离法
Keywords:
water distribution network;  DMA partition;  spectral clustering algorithm;  multi-objective particle swarm algorithm;  technique for order preference by similarity to ideal solution
摘要:
针对目前城市供水管网进行独立计量分区（DMA）方法不成熟、依赖经验较多的问题，提出了一种新的DMA分区方法。以分区边界管段（BPs）长度和BPs中高流量管段数量最小化为目标，定义了两节点间相似度计算公式，利用谱聚类（SC）算法完成对DMA区域的划分。在满足管网压力限制的条件下，以节点压力标准差之和、综合水龄指数和分区成本作为优化目标，建立BPs上阀门和流量计优化布置模型。使用多目标粒子群（MOPSO）算法求解该模型，得到Pareto最优解集；通过优劣解距离法（TOPSIS）进行多个布置方案的决策。将该方法应用于某实际管网进行DMA分区，结果表明，该方法可以顺利完成管网DMA分区，并在改善分区后管网水力水质性能及降低分区成本等方面起到显著作用。
Abstract:
A new district metered areas (DMA) partition method was proposed to solve the problems of immaturity and overreliance on experience of DMA for urban water distribution network partition. The similarity calculation formula between two nodes was defined, and the DMA region was divided by spectral clustering (SC) algorithm, so as to minimize the length of partition boundary pipes (BPs) and the number of large flow pipes in the BPs. Under the condition of meeting the pressure limit of the pipe network, the optimal arrangement model of valve and flowmeter on BPs was established by taking the sum of node pressure standard deviation, comprehensive water node age and partition cost as the optimization objectives. The model was solved by multi-objective particle swarm (MOPSO) algorithm to obtain the Pareto optimal solution set, and the decision of multiple layout schemes was made by technique for order preference by similarity to ideal solution (TOPSIS). The method was applied to a real pipe network for DMA partition. This method successfully completed the DMA partition of pipe network, and played a significant role in aspects such as improving the hydraulic characteristics and water quality of pipe network and reducing the partition cost.

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更新日期/Last Update: 2024-02-01