Leak Detection in Water Distribution Systems Using Bayesian Theory and Fisher’s Law  

作　　者：张宏伟 王丽娟 

机构地区：[1]School of Environmental Science and Engineering, Tianjin University [2]School of Civil Engineering, Hebei University of Technology

出　　处：《Transactions of Tianjin University》2011年第3期181-186,共6页天津大学学报（英文版）

基　　金：Supported by National Natural Science Foundation of China (No. 50278062 and 50578108);Science and Technology Innovation Funds Project of Tianjin, China (No. 08FDZDSF03200)

摘　　要：A leak detection method based on Bayesian theory and Fisher’s law was developed for water distribution systems. A hydraulic model was associated with the parameters of leaks (location, extent). The randomness of parameter values was quantified by probability density function and updated by Bayesian theory. Values of the parameters were estimated based on Fisher’s law. The amount of leaks was estimated by back propagation neural network. Based on flow characteristics in water distribution systems, the location of leaks can be estimated. The effectiveness of the proposed method was illustrated by simulated leak data of node pressure head and flow rate of pipelines in a test pipe network, and the leaks were spotted accurately and renovated on time.A leak detection method based on Bayesian theory and Fisher＇s law was developed for water distribution systems. A hydraulic model was associated with the parameters of leaks （location, extent）. The randomness of pa- rameter values was quantified by probability density function and updated by Bayesian theory. Values of the parame- ters were estimated based on Fisher＇s law. The amount of leaks was estimated by back propagation neural network. Based on flow characteristics in water distribution systems, the location of leaks can be estimated. The effectiveness of the proposed method was illustrated by simulated leak data of node pressure head and flow rate of pipelines in a test pipe network, and the leaks were spotted accurately and renovated on time.

关 键 词：water distribution systems LEAK DETECTION EPANET Fisher＇s law Bayesian theory back propagationneural network 

分 类 号：TU991.38[建筑科学—市政工程]