Saeed, Nagham ORCID: https://orcid.org/0000-0002-5124-7973 and Urbonaviciusa, Audrius (2019) IoT leak detection system for building hydronic pipes. International Journal of Engineering and Manufacturing(IJEM), 9 (5). pp. 1-21. ISSN 2305-3631
Preview |
PDF
Saeed_and_Urbonaviciusa_IJEM_2019_IoT_leak_detection_system_for_building_hydronic_pipes.pdf - Accepted Version Download (508kB) | Preview |
Abstract
Building’s Air Conditioning systems require moving liquids for dweller comfort. Clogged pipes, system degradation can cause pressure buildups, leaks and other faults which leads to damage to the building. Most of the leaks in the commercial building occur due to poor maintenance and/or material degradation. Visual inspection is most predominantly used to solve this problem in the industry. This paper introduces the Internet of Things technology to detect leakage in building’s hydronic pipes with the support of sensors, fault detection method and mechanical control. The system consists of: Microcontroller, Windows application and website application. Internet of Things technology was used to monitor and control the hydronics using microcontroller’s capability of connecting to main server which is used to transmit the data to the cloud. The prototype was successfully built and tested. Promising results show that leaks above 2ml/s could be detected after 4 seconds specifically for the built small-scale system while control and monitor feature could be implemented with Internet of Things technology.
Item Type: | Article |
---|---|
Identifier: | 10.5815/ijem.2019.05.01 |
Additional Information: | Saeed, N. and Urbonaviciusa, A. "IoT leak detection system for building hydronic pipes", International Journal of Engineering and Manufacturing(IJEM),Vol. 9, No. 5, 2019. |
Keywords: | Pipeline automation, Leak detection, Building services, Supervisory Control and Data Acquisition (SCADA) and Internet of Things (IoT), Industry IOT (IIOT) |
Subjects: | Construction and engineering > Electrical and electronic engineering |
Depositing User: | Nagham Saeed |
Date Deposited: | 10 Sep 2019 09:41 |
Last Modified: | 04 Nov 2024 11:52 |
URI: | https://repository.uwl.ac.uk/id/eprint/6371 |
Downloads
Downloads per month over past year
Actions (login required)
View Item |