Robust Leakage Detection and Interval Estimation of Location in Water Distribution Network
2015 · IFAC-PapersOnLine
저자
Yeonsoo Kim, Shin Je Lee, Taekyoon Park, Gibaek Lee, Jung Chul Suh, 이종민 (Jong Min Lee)
연구주제
Water Systems and Optimization · Fault Detection and Control Systems
NTIS 과학기술표준분류
가장 가까운 분류(환경 > 물관리 > 관망 최적 관리기술)가 화학·화공 범위 밖이다. 배정 근거: AI 키워드가 잡은 NTIS 과제의 분류.
AI 연구 키워드·방법
leak localization pipe leak detection 상수도 관망
kalman filter
키워드 (OpenAlex)
water leakage detection water distribution systems pressure data Kalman filter floor function radius of curvature pipe bursts location estimation
초록
The water supply network has a complex structure especially in cities with high population density. A damage to the water pipe can occur in the form of a leakage or a burst and the technique for early detection of the occurrence and for the exact determination of the location is required. In this paper, we propose a novel method that can detect the leakage of the water supply network using the pressure data. After the noise is eliminated using the Kalman Filter, the mean of normal state pressure is calculated and deviation with the mean is obtained. By calculating the cumulative integral of the pretreated data and applying a floor function, the leakage can be detected. Once the leakage is detected, the time of occurrence is refined by radius of curvature and the location is estimated by using that time and a statistical method. The verification test is conducted with respect to the two d…
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교수 1
연구주제 1
Water Systems and Optimization