Thesis Open Access

CORRELATION TECHNIQUE FOR DETECTING WATER LEAKAGE IN UNDERGROUND PIPELINE

DAWIT ABRHA


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    <subfield code="a">&lt;p&gt;Water leak is a common problem that frequently results in water waste, damages, and hazards to community wellbeing. Because of the possible risks to community comfort, economic cost, environmental injury, labor, energy, unwanted underground water pipeline leakages has established more thought universal. Several researchers have proposed dynamic leak controller methods to locate, and pinpoint leaks. However, those proposed leak detection tools and methods mainly depend on one sensor to notice and pinpoint leakages, hence the leak is not well known till the water has climbed overhead the external surface. In particular, Acoustic sensors are mainly used to trace leaks in distribution water pipes. These contain noise loggers, listening devices, and leakage noise correlators. Because of the number of noise loggers needed at the specific test point and less sensing capabilities, they are not financially feasible and have poor leakage discovery. In addition, the efficiency of listening devices such as ground microphones for analytic leaks depends mainly on the skill of the operator so that such method is also inefficient and time consuming. The other device called Leak noise correlator performs better than Noise loggers and listening devices due to its use of correlation techniques. However, it is moveable so it needs labour and under noisy environment and erratic pressure on the pipelines, this scheme poses some accuracy problem. To increase the performance of water leak detection, this research work has proposed correlation technique for Acoustic and Acceleration based Water Leakage detection and pinpointing System. Acceleration and Acoustic signals are correlated so that the effect of both vibration and sound signal can be captured to identifying and pinpointing the leakage. As a result, our proposed correlation technique was an able to detecting and pinpointing the effect of both sound and vibration leak signals in underground water pipeline. Thus, 95% of water leak in underground distribution pipelines can be detected and located significantly.&lt;br&gt;
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