Water Leakage Detection System Using Arduino
Juma S. Tina,
Beatrica B. Kateule and
Godfrey W. Luwemba
Additional contact information
Juma S. Tina: Ardhi University, Tanzania
Beatrica B. Kateule: Ardhi University, Tanzania
Godfrey W. Luwemba: Ardhi University, Tanzania
European Journal of Information Technologies and Computer Science, 2022, vol. 2, issue 1, 1-4
Abstract:
Clean water is a scarce resource for the human life and is subject to wastage due to leakage of the distribution pipes in large cities. Water pipe leakage is a big problem around the world of which most of the water distribution authorities faces difficulties to detect the location of the fault. This problem of leakage can be caused by several factors such as breakage of the pipelines due to aging or ongoing constructions in urban cities like Dar es salaam, consequently due to that case, the distribution authorities face hardship to identify the cause and enable them to take action. Therefore, the aim of this project was to develop an IoT-based system for water leakage detection. The prototype was developed comprising two sensors embedded at the source and destination points to measure the flow rate of water. The result indicated that the volume of water generated at the start point can be compared with the other end to determine if there is any leakage. A greater focus on distance calculation could produce interesting findings that account for more research on IoT monitoring systems.
Keywords: Arduino uno; internet of things; leak detection; NodeMCU esp8266; water flow sensor (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://eu-opensci.org/index.php/compute/article/view/10043 Abstract page (text/html)
https://eu-opensci.org/index.php/compute/article/download/10043/1789 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:epw:comput:v:2:y:2022:i:1:id:10043
DOI: 10.24018/compute.2022.2.1.43
Access Statistics for this article
More articles in European Journal of Information Technologies and Computer Science from European Open Science
Bibliographic data for series maintained by Support Team ().