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(24):130-134.
新行业标准下的供水管网漏损控制实践
- Title:
- Practices in Water Loss Control of Urban Water Supply Network under New Industry Standard
- 摘要:
- 介绍了新行业标准中计量统计范围、水量平衡构成要素、漏损率的国内外对比情况。北京市通过水平衡要素分析漏损控制关键点,结合实际选择以独立计量区(DMA)作为重点的分区计量管理;依托管网GIS系统和水力模型系统调整供水调度方案进行压力优化;逐步更换约146万具智能远传水表;建立用户水量远程监测和分析系统;通过暗漏检测、管网改造等减少了管网破损点。上述措施综合施策,使得北京市市区的漏损率连续10年下降,于2020年降为9.93%。
- Abstract:
- The new industry standard was compared at home and abroad in the aspects of metering statistical range, water balance components and water loss rate. The water loss control practices in Beijing mainly includes analyzing water loss and controlling key points through water balance factors, selecting district metering area (DMA) practically, optimizing water pressure through adjusting the regulations of pumps and valves based on GIS system and hydraulic models, gradually replacing 1.46 million smart water meters, developing water consumption remote monitoring and analysis system, and reducing the breaks in pipes through active leak detection and pipe rehabilitation. The above measures resulted in a consecutive reduction of water loss rate in downtown Beijing for ten years, reaching 9.93% in 2020.
相似文献/References:
[1]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(24):46.
[2]程伟平,张邢,龙志宏,等.基于粒子源逆向追踪算法的管网污染源快速定位技术[J].中国给水排水,2020,36(19):50.
CHENG Wei-ping,ZHANG Xing,LONG Zhi-hong,et al.Rapid Pollution Source Location Technology in Water Distribution System Based on Particle Back-tracking Algorithm[J].China Water & Wastewater,2020,36(24):50.
[3]褚福敏,孙韶华,逯南南,等.供水管网中耐氯菌的分离鉴定及特性分析[J].中国给水排水,2020,36(21):42.
CHU Fu-min,SUN Shao-hua,LU Nan-nan,et al.Isolation, Identification and Characteristic Analysis of Chlorine-resistant Bacteria in Urban Water Supply Pipe Network[J].China Water & Wastewater,2020,36(24):42.
[4]吴潇勇,艾静,王圣,等.输配分离供水管网布局的构建与影响评估[J].中国给水排水,2020,36(21):53.
WU Xiao-yong,AI Jing,WANG Sheng,et al.Construction and Impact Assessment of Water Supply Network Layout with Separating Water Supply and Distribution Pipes[J].China Water & Wastewater,2020,36(24):53.
[5]苏炯恒,王琦,王礼炳,等.考虑成本–弹性–水质的供水管网多目标协同设计方法[J].中国给水排水,2020,36(21):58.
SU Jiong-heng,WANG Qi,WANG Li-bing,et al.A Multi-objective Coordinated Design Method for Water Distribution Networks Considering Cost, Resilience and Water Quality[J].China Water & Wastewater,2020,36(24):58.
[6]岳宏宇,吕谋,李红卫,等.基于群体智能优化算法的供水管网压力监测点布置[J].中国给水排水,2020,36(21):66.
YUE Hong-yu,L Mou,LI Hong-wei,et al.Arrangement of Pressure Monitoring Points in Water Supply Network Based on Swarm Intelligence Optimization Algorithm[J].China Water & Wastewater,2020,36(24):66.
[7]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(24):52.
[8]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(24):40.
[9]卢慢,杜坤,宋志刚,等.基于耦合统计及模型驱动的供水管网爆管定位[J].中国给水排水,2021,37(9):46.
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(24):46.
[10]林晓丹,陈方亮,强志民,等.供水管网水质模型的研究进展:经验统计模型[J].中国给水排水,2021,37(14):1.
LIN Xiao-dan,CHEN Fang-liang,QIANG Zhi-min,et al.Research Progress on Water Quality Models of Drinking Water Distribution Systems: Empirical Statistic Models[J].China Water & Wastewater,2021,37(24):1.
[11]龚珑聪,卓雄,许俊鸽.基于NB-IoT和DMA技术相结合的小区漏损控制分析[J].中国给水排水,2021,37(13):40.
GONG Long-cong,ZHUO Xiong,XU Jun-ge.Analysis of Leakage Management in Community Based on Combination of NB-IoT and DMA Technology[J].China Water & Wastewater,2021,37(24):40.