[1]武佳佳,马东辉,王威.基于模糊相似优先比的供水管网渗漏同步诊断*[J].中国安全生产科学技术,2021,17(10):186-192.[doi:10.11731/j.issn.1673-193x.2021.10.028]
WU Jiajia,MA Donghui,WANG Wei.Synchronous diagnosis on leakage of water supply pipeline network based on fuzzy similarity priority ratio[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(10):186-192.[doi:10.11731/j.issn.1673-193x.2021.10.028]
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基于模糊相似优先比的供水管网渗漏同步诊断*
WU Jiajia,MA Donghui,WANG Wei.Synchronous diagnosis on leakage of water supply pipeline network based on fuzzy similarity priority ratio[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(10):186-192.[doi:10.11731/j.issn.1673-193x.2021.10.028]
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 17
- 期数:
- 2021年10期
- 页码:
- 186-192
- 栏目:
- 职业安全卫生管理与技术
- 出版日期:
- 2021-10-31
文章信息/Info
- Title:
- Synchronous diagnosis on leakage of water supply pipeline network based on fuzzy similarity priority ratio
- 文章编号:
- 1673-193X(2021)-10-0186-07
- Keywords:
- synchronous diagnosis of leakage; fuzzy similarity priority ratio; pressure-driven hydraulic analysis; diffuser; sensor placement
- 分类号:
- X913.4
- 文献标志码:
- A
- 摘要:
- 为加强城市供水管网渗漏诊断能力，采用基于模糊相似优先比的漏损判别方法实现供水管网漏损定位及漏损程度的同步诊断。通过MATLAB软件调用最新版EPANET V2.2建立供水管网模型，在管段中间加入扩散器模拟单次渗漏事件，通过更改扩散器系数实现渗漏量的控制；基于压力驱动水力分析得到各节点压力变化，遍历模拟各管段漏损后，通过建立节点压力灵敏度矩阵，采用K均值聚类法进行监测点布置；在此基础上，在易渗漏管段模拟产生不同渗漏级别的渗漏事件，以监测点压力变化值构建源范例库，在熵权法的基础上，采用模糊相似优先比方法同步诊断渗漏位置及渗漏程度。以某一实际管网为例，模拟产生50例历史渗漏事件，采用模糊相似优先比同步诊断新渗漏事件的渗漏位置及渗漏程度，并对比3种权重方法。结果表明：模糊相似优先比法可有效地实现渗漏定位与渗漏程度的同步诊断。
- Abstract:
- In order to strengthen the leakage diagnosis ability of urban water supply pipeline network,a leakage identification method based on the fuzzy similarity priority ratio method was adopted to realize the synchronous diagnosis of the leakage location and the leakage degree of the water supply pipeline network.The MATLAB software was used to call the latest version EPANET V2.2 for establishing the model of water supply pipeline network,and the diffuser was added in the middle of pipeline section to simulate the single leakage event,and the control of leakage amount was realized through changing the coefficient of diffuser.The pressure changes of each node were obtained on the basis of pressure-driven hydraulic analysis,and after the ergodic simulating on the leakage of each pipeline section,the monitoring points arrangement was conducted by using the K-means clustering method through establishing the sensitivity matrix of node pressure.On this basis,the leakage events with different leakage levels were generated by simulation in the leakage prone pipeline section,and the source case base was established with the pressure change values of monitoring points.On the basis of the entropy weight method,the fuzzy similarity priority ratio method was used to diagnose the leakage location and leakage degree synchronously.Taking a certain actual pipeline network as an example,50 historical leak events were generated by simulation,then the fuzzy similarity priority ratio method was used to synchronously diagnose the leakage location and leakage degree of new leakage event,and three weighting methods were compared.The results showed that the fuzzy similarity priority ratio method could effectively realize the synchronous diagnosis of the leakage location and leakage degree.
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相似文献/References:
备注/Memo
- 备注/Memo:
-
收稿日期： 2021-05-08
* 基金项目： 国家自然科学基金项目(51678017)
作者简介： 武佳佳，博士研究生，主要研究方向为供水管网抗震防灾。
通信作者： 马东辉，博士，研究员，主要研究方向为城市生命线系统抗灾分析。
