TY - GEN
T1 - Leak Detection using Non-Intrusive Ultrasonic Water Flowmeter Sensor in Water Distribution Networks
AU - Shiddiqi, Ary Mazharuddin
AU - Baihaqi, Muhammad
AU - Babgei, Atar
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/11/22
Y1 - 2022/11/22
N2 - In the current revolution industry era, water is a must for everyone. For water to be available every time, there must be a mechanism for transporting water from one place to another. A water leak is a common problem when transporting water. Based on research in 2018 in Australia, it is estimated that 12% water is lost due to leakage. In some developing countries, the water loss rate can be higher. To find out the location of leakage, monitor about the habit of the system is needed. The common features used to locate leaks are water flow and pressure. Flow is more preferable feature to monitor due to its resistance to interference than pressure. For this purpose, an accurate and practical flow sensor is the Ultrasonic Water Flowmeter TUF-2000. This sensor can obtain a data stream containing water flow data in a pipe. We used the Local Outlier Factor (LOF) Algorithm to detect flow anomalies. The location of the anomaly also can be estimated based on sensor location. Our method can accurately detect sudden flow changes suspected of leak signatures. However, the challenge is the evolutionary flow changes due to small leaks, as this type of leak could result in the evolving outlier detection model.
AB - In the current revolution industry era, water is a must for everyone. For water to be available every time, there must be a mechanism for transporting water from one place to another. A water leak is a common problem when transporting water. Based on research in 2018 in Australia, it is estimated that 12% water is lost due to leakage. In some developing countries, the water loss rate can be higher. To find out the location of leakage, monitor about the habit of the system is needed. The common features used to locate leaks are water flow and pressure. Flow is more preferable feature to monitor due to its resistance to interference than pressure. For this purpose, an accurate and practical flow sensor is the Ultrasonic Water Flowmeter TUF-2000. This sensor can obtain a data stream containing water flow data in a pipe. We used the Local Outlier Factor (LOF) Algorithm to detect flow anomalies. The location of the anomaly also can be estimated based on sensor location. Our method can accurately detect sudden flow changes suspected of leak signatures. However, the challenge is the evolutionary flow changes due to small leaks, as this type of leak could result in the evolving outlier detection model.
KW - leak detection
KW - outlier detection
KW - ultrasonic sensor
KW - water distribution network
UR - http://www.scopus.com/inward/record.url?scp=85149402100&partnerID=8YFLogxK
U2 - 10.1145/3575882.3575943
DO - 10.1145/3575882.3575943
M3 - Conference contribution
AN - SCOPUS:85149402100
T3 - ACM International Conference Proceeding Series
SP - 316
EP - 320
BT - Proceeding - 2022 9th International Conference on Computer, Control, Informatics and Its Applications
PB - Association for Computing Machinery
T2 - 9th International Conference on Computer, Control, Informatics and Its Applications: Digital Transformation Towards Sustainable Society for Post Covid-19 Recovery, IC3INA 2022
Y2 - 22 November 2022 through 23 November 2022
ER -