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LEAKAGE LOCATION METHODS OF WATER DISTRIBUTION NETWORK BASED ON TEMPORAL AND PRESSURE SPATIAL FEATURES WITH PHYSICAL EXPERIMENT VERIFICATION
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摘要: 供水管网漏失是国内外普遍存在的问题。如何有效降低管网漏失率、定位漏失发生的位置,是困扰我国供水行业的一个重要问题。基于水力模型和在线监测数据的管网漏失定位方法能够较快地对管道漏失事件进行侦测识别,并实现初步定位,但该类方法较为依赖水力模型精度,同时缺乏足够的实际管网漏失案例监测数据进行检验。通过搭建实验室管网模型,布设SCADA系统用以监测压力、流量数据,从而实现对城市供水管网的模拟,以生成各类管网漏失的模拟数据,用于检验漏失定位方法的有效性。同时,通过改变漏失位置及漏量、模型精度、监测点优化布置方式,进行漏失定位效果的比对,分析了影响漏失定位效果的因素。Abstract: Leakage in water distribution network (WDN) is a common and worldwide problem.How to effectively reduce the leakage rate and locate the leakage is an important problem which perplexing China's water supply industry.The leakage location methods based on hydraulic model and online monitoring data can quickly identify the leakage events in WDN and achieve preliminary location.However,such methods depend heavily on model accuracy,and also lack sufficient actual leakage case data in WDN for testing.To address this,the laboratory pipe network model was built in this study,and the SCADA system was arranged to monitor the pressure and flow data,so as to realize the simulation of WDN,which can be used to generate the simulation data of various leakage in WDN and test the effect of leakage location method.Moreover,by changing the leakage location and flow,model accuracy,as well as optimal layout of monitoring points,this study identified the influencing factors of the leakage location.
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[1] 耿雪.供水管道漏损的声波检测实验研究[D].天津:天津大学, 2014. [2] SHIDDIQI A M, PRAMANA D A, NURHAYATI E, et al. Sensor placement strategy to localize leaks in water distribution networks with fluctuating minimum night flow[C]//proceedings of the 13th International Conference on Information and Communication Technology and System (ICTS), Electr Network, F Oct 20-21, 2021. [3] 王杉月,张葵,艾静,等.供水管网漏损检测与识别技术研究进展[J].净水技术, 2020, 39(8):49-55. [4] 黄哲骢,李康均,苏键,等.供水管网漏损现状及漏损检测方法研究综述[J].科技通报, 2020, 36(4):10-16,27. [5] 张清周.基于模型校核的给水管网漏失定位研究[D].哈尔滨:哈尔滨工业大学, 2013. [6] 谢翔.水力模型驱动的城市供水管网漏损在线监测关键技术研究[D].杭州:浙江大学, 2018. [7] 陆维佳.供水管网测压点优化布置及漏损区域识别研究[D].上海:同济大学, 2020. [8] PUDAR R S, LIGGETT J A. Leaks in pipe networks[J]. Journal of Hydraulic Engineering-Asce, 1992, 118(7):1031-1046. [9] CASILLAS M V, GARZA-CASTANON L E, PUIG V, et al. Leak signature space:an original representation for robust leak location in water distribution networks[J]. Water, 2015, 7(3):1129-1148. [10] LIN J R, WANG X, GHIDAOUI M S. Multi-sensor fusion for transient-based pipeline leak localization in the dempster-shafer evidence framework[J]. Water Resources Research, 2021, 57(9):. [11] SALGUERO F J, COBACHO R, PARDO M A. Unreported leaks location using pressure and flow sensitivity in water distribution networks[J]. Water Supply, 2019, 19(1):11-18. [12] 张自力,张强,张增烁,等.基于在线水力模型系统的供水管网优化调度开发与应用[J].城镇供水, 2020(6):65-72. 期刊类型引用(5)
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百度学术2. 章以建，徐晓琼. 基于功率谱密度的地下水管道漏水点智能检测. 计算机仿真. 2024(01): 532-536 . 百度学术3. 钱德刚. 基于长短记忆神经网络的供水管道渗漏点定位方法研究. 设备管理与维修. 2024(15): 15-17 . 百度学术4. 高含. 城市多源大型供水管网泄漏检测方法研究. 科学技术创新. 2023(06): 93-96 . 百度学术5. 潘瑞军. 基于神经网络算法的长距离供水管网漏损定位方法研究. 水利技术监督. 2023(08): 8-11+19 . 百度学术其他类型引用(1)
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