Leakage Detection in Pipeline Using Synchrosqueeze Wavelet Transform

2013 ◽  
Vol 465-466 ◽  
pp. 467-471
Author(s):  
Makeen M. Amin ◽  
Abdul Hadi ◽  
Mohd Fairusham Ghazali

The detection of water leakages in water distribution system has always been a challenge in the water industry as most water pipelines are laid foot underground which are normally unseen to human naked eyes until water starts to flow out from roads and creates puddles. The age in pipelines network is a major problem and the reduction of these has become a major priority for pipeline authorities around the world. This project method are developed based on pressure transient by using single pressure transducer and analyses on newly method of analyzing called synchrosqueeze wavelet transform (SWT) which is viable approach to detect and locate the leak in pipeline system. Transient analyses offer a plausible route towards leak detection due to their robustness and simplicity. The result show that newly developed techniques, SWT appears to improve the ability of the method to identify features in the signal.

2014 ◽  
Vol 635-637 ◽  
pp. 924-927
Author(s):  
Tao Jin ◽  
Ze Yuan Zhou

To detect and locate the leakage of the pipe correctly, genetic algorithm is combined with Bayesian theory to determine the leaked pipes. Leakage detection and leakage location are carried out separately. Leakage detection is conducted based on the assumption that there is only one leaked pipe, and the simulation result demonstrates its feasibility. When the leakage detection demonstrates there is leaked pipe in the water distribution system, leakage location starts. Based on the information gathered by the manometers, leakage probability in different combinations of the virtual nodal demand can be fixed according to calculating the pressure of the monitored node, then GA is applied to search the maximum Bayesian value, the pipes with maximum Bayesian leakage possibility are believed to be leaked pipes. Optimization programme was made with combination of Matlab and Epanet, numerical simulation results demonstrate the feasibility and effectiveness of the proposed method.


2013 ◽  
Vol 361-363 ◽  
pp. 768-771
Author(s):  
Xin Yu Zhang ◽  
Ying Fu ◽  
Li Ping Qiu ◽  
Yan Zhen Yu

Halogenated trihalomethanes (THMs) is a major kind of disinfection byproducts (DBPs) usually found in waters disinfected with chlorine. Because of concerns over the health effects of DBPs, the formation and change of DBPs precursors from two water pipelines in a northern city in China was investigated. Ten monitoring sites were set in water distribution system to study THMs and its composition. The results show that THMs concentration in the pipeline changed with seasons, the range was 90-212μg/L, and THMs concentration fluctuated greatly at three sites.


In this paper, we propose an IoT-based water distribution system approach to monitor the level of water in overhead tank, flow rate of water, quantity and leakage of water in a water pipeline system based on the measurements accumulated from the flow meters and as well as proper distribution of the water resource. In urban and rural areas, the manual operation of water distribution system is being replaced. Internet of Things (IoT) technology is implemented to monitor the water distribution system wirelessly and to monitor the wastage of water. The proposed methodology is realized through the use of real-time systems and sensors, where data are collected from individual houses then processed in real-time and finally the gathered information is displayed in the website.


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