期刊文献+

结合模型校核和贝叶斯决策理论的管网漏失定位 被引量:1

Leakage Location of Water Distribution System Based on Model Calibration and Bayesian Decision Theory
原文传递
导出
摘要 管网中发生漏失事故时必然会引起其他节点的水压波动,波动程度随漏失位置和漏失流量而变化。基于这一思想,采用模型校核和贝叶斯决策理论分别建立漏失定位模型,分析了两个模型的原理及优缺点,并在此基础上提出一种改进漏失定位模型,该模型对水力模型误差和测量误差有一定的免疫力,而且具有时效性。以CP市供水管网为例,通过消火栓放水模拟漏失,求解改进的漏失定位模型得到漏失概率,从而能确定出漏失节点所在区域,达到较高的检测精度。 Pressure fluctuations of nodes can be caused by leakage accident in pipe network. Extent of fluctuations changes with the changes of leakage location and leakage flow. Based on this, the model calibration and Bayesian decision theory were adopted to establish leakage location models respectively. The principles, advantages and disadvantages of the two models were analyzed, and an improved leakage location model was proposed. The improved model has some immunity for the model error and measurement error, and it has timeliness. This model was illustrated by the example of water distribution system in Changping Town, Dongguan City, Guangdong Province. The burst accident was simulated by draining of fire hydrant, and then the improved model was solved to get probability of burst, namely the location and the flow of the burst. It has very high detection accuracy.
出处 《中国给水排水》 CAS CSCD 北大核心 2016年第19期44-48,共5页 China Water & Wastewater
基金 广东省教育部产学研结合项目(2011A090200040) 国家自然科学基金资助项目(51278148) 欧盟第七框架"玛丽.居里行动"计划项目(PIRSES-GA-2012-318985)
关键词 城镇供水管网 漏失定位 模型校核 贝叶斯决策理论 遗传算法 urban water distribution network leakage location model calibration Bayesian decision theory genetic algorithm
  • 相关文献

参考文献7

  • 1舒诗湖,何文杰,赵明,高金良,袁一星,赵洪宾.供水管网漏失检测技术现状与进展[J].给水排水,2008,34(6):114-116. 被引量:30
  • 2李伟峰,陈求稳,刘锐平,徐强.基于GIS的城市供水管网漏失监测优化布设[J].中国给水排水,2011,27(13):42-45. 被引量:7
  • 3徐强,陈求稳,李伟峰,刘锐平.基于遗传编程的供水管网漏失模型[J].中国给水排水,2011,27(1):45-48. 被引量:7
  • 4Misiunas D, Lambert M ,Simpson A,et al. Burst detectionand location in water distribution networks [ J 1. Water Sci Teehnol : Water Supply ,2005,5 ( 3/4 ) :71 - 80.
  • 5Shamloo H, Haghighi A. Optimum leak detection and cal- ibration of pipe networks by inverse transient analysis [ J ]. J Hydra Res, 2010,48 (3) : 371 - 376.
  • 6Jang S P,Cho C Y,Nam J H,et al. Numerical study on leakage detection and location in a simple gas pipeline branch using an array of pressure sensors[J]. J Mech Sci Techno1,2010,24 (4) :983 - 990.
  • 7Aksela K, Aksela M, Vahala R. Leakage detection in a real distribution network using a SOM [ J ]. Urban Water J,2009,6(4) :279-289.

二级参考文献22

共引文献40

同被引文献4

引证文献1

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部