LU Man,DU Kun,SONG Zhi-gang,et al.Burst Location of Water Supply Pipe Network Based on Coupling Statistics and Model Driven[J].China Water & Wastewater,2021,37(9):46-50.
基于耦合统计及模型驱动的供水管网爆管定位
- Title:
- Burst Location of Water Supply Pipe Network Based on Coupling Statistics and Model Driven
- Keywords:
- water supply pipe network; burst location; background noise; model driven; coupling statistic
- 摘要:
- 随着数据监测成本的不断下降、管网模型的普遍应用，基于数据与模型的爆管检测及定位技术受到广泛关注，但背景噪音往往导致上述方法无法准确定位爆管。针对该问题，提出基于耦合统计及模型驱动的供水管网爆管定位方法。首先利用加权最小二乘法计算延时状态下供水管网中各节点的爆管残差，然后采用耦合统计算法对爆管残差信号进行卡尔曼滤波与累积和运算进而定位爆管。采用简化管网阐明了耦合统计算法的基本原理与计算步骤，进一步利用某园区小型管网验证该算法的可行性。结果表明，该方法能从背景噪音中识别并放大爆管信号、降低爆管定位误报率，并能同时预警与定位爆管。
- Abstract:
- With the continuous decrease of data monitoring cost and wide application of pipe network model, the detection and location technology of pipe burst based on data and model has been widely concerned. However, background noise often leads to the failure of the above methods to accurately locate the pipe burst. In order to solve this problem, a burst pipe location method of water supply pipe network based on coupling statistics and model driven was proposed. Firstly, the burst pipe residual of water supply pipe network under delay state was calculated by using weighted least square method, and then the coupling statistical algorithm was used to carry out Kalman filtering and cumulative sum operation on the residual signal of the pipe burst to locate the pipe burst sites. The basic principle and calculation steps of the coupling statistical algorithm were illustrated by using the simplified pipe network, and the feasibility of the algorithm was further verified by using a pipe network in a park. The proposed method could identify and amplify the burst signal from the background noise, reduce the false alarm rate of the burst location, and simultaneously warn and locate the burst sites.
相似文献/References:
[1]陈炯禧,王琦,詹凡,等.基于CNN和MFCC的供水管网漏损声信号识别方法[J].中国给水排水,2024,40(23):13.
CHENJiong-xi,WANGQi,ZHANFan,et al.A Method for Identifying Leakage Acoustic Signals in Water Supply Network Based on CNN with MFCC[J].China Water & Wastewater,2024,40(9):13.
[2]刘菁,田一梅,刘云慧,等.铬在供水管道中的释放行为研究[J].中国给水排水,2024,40(23):40.
LIUJing,TIANYi-mei,LIUYun-hui,et al.Investigation of Chromium Release Dynamics in Water Supply Pipelines[J].China Water & Wastewater,2024,40(9):40.
[3]简彩,高金良,徐勇鹏.使用迭代分区识别算法的供水管网异常隔离[J].中国给水排水,2022,38(23):31.
JIANCai,GAOJin-liang,XUYong-peng.Iterative Partition Identification Algorithm for Anomaly Isolation of Water Distribution Network[J].China Water & Wastewater,2022,38(9):31.
[4]刘锁祥,赵顺萍,刘阔.新行业标准下的供水管网漏损控制实践[J].中国给水排水,2021,37(24):130.
LIU Suo-xiang,ZHAO Shun-ping,LIU Kuo.Practices in Water Loss Control of Urban Water Supply Network under New Industry Standard[J].China Water & Wastewater,2021,37(9):130.
[5]吉瑞博,王志红,龙志宏,等.基于风险评估的供水管网水质监测点优化模型研究[J].中国给水排水,2021,37(3):52.
JI Rui-bo,WANG Zhi-hong,LONG Zhi-hong,et al.Water Quality Monitoring Points Optimization Model for Water Supply Network Based on Risk Assessment[J].China Water & Wastewater,2021,37(9):52.
[6]杨佳莉,杜坤,陈洋,等.基于冗余选择策略差分进化的供水管网多目标优化[J].中国给水排水,2021,37(9):40.
YANG Jia-li,DU Kun,CHEN Yang,et al.Multi-objective Optimization of Water Distribution System Based on Differential Evolution of Redundant Selection Strategy[J].China Water & Wastewater,2021,37(9):40.
[7]刘志刚,徐巧,王亚超,等.供水管网水质化学稳定性分析及水质敏感区识别[J].中国给水排水,2024,40(7):45.
LIUZhi-gang,XUQiao,WANGYa-chao,et al.Analysis of Water Chemical Stability and Identification of Sensitive Areas in Water Supply Network[J].China Water & Wastewater,2024,40(9):45.
[8]苏乐,朱延平,舒诗湖,等.管网输配系统中消毒副产物生成及控制技术研究[J].中国给水排水,2022,38(14):42.
SULe,ZHUYan-ping,SHUShi-hu,et al.Research on Generation and Control Technology of Disinfection By?products in Pipeline Distribution System[J].China Water & Wastewater,2022,38(9):42.
[9]王银宇,盛继红,潘斌,等.服务于水力模型的监测点优化布置技术应用[J].中国给水排水,2022,38(17):39.
WANGYin-yu,SHENGJi-hong,PANBin,et al.Application of a Technology for Optimizing Layout of Hydraulic Model Monitoring Points[J].China Water & Wastewater,2022,38(9):39.
[10]程伟平,陈亚威,许刚,等.基于遗传算法的供水管网爆管监控网络布置研究[J].中国给水排水,2020,36(15):46.
CHENG Wei-ping,CHEN Ya-wei,XU Gang,et al.Layout of Burst Monitoring Network in Water Distribution System Based on Genetic Algorithm[J].China Water & Wastewater,2020,36(9):46.