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Research Article Open access CC BY 4.0

Residential Water Tanks with IoT: A Solution for Household Water Consumption Monitoring

Kurniawan D. Irianto

Asian Journal of Research in Computer Science · pp. 238–247 · Published 23 Dec 2022

10.9734/ajrcos/2022/v14i4308

Abstract

Wasting water has been a big problem in human society throughout the world. It can happen either in developed or developing countries. They tend to waste the water without knowing it. Moreover, people's awareness of the importance of using water wisely is still low. While they think the source of water is limitless, in fact, it is not. In contrast, the availability of freshwater in the world is limited. Furthermore, if the water is overused without reservation, it can trigger the phenomenon of water scarcity. However, the problem of wasting water can be reduced by using the water wisely and efficiently. With the growth of Internet of Things technology, it can help people use water efficiently by monitoring their water consumption. The Internet of Things (IoT) is a network of real-world items that may communicate with other electronic devices and systems via the internet by using sensors, software, and other technologies. IoT devices can be used for the purpose of household or the industrial. This paper focuses on designing and implementing a residential water tank system embedded with the Internet of Things technology for monitoring the water consumption in a household. The system will measure the water consumption from the residential water tank and send the data to a cloud server. Users will then be able to monitor it using a mobile device. With the data, users could change their habits of using water and start to use it wisely. Thus, the water shortage can be prevented.

Wasting water water efficiency water consumption residential water tank internet of things

References (23)

  1. 1 Four billion people facing severe water scarcity [DOI]
  2. 2 Water scarcity: Fact or fiction? [DOI]
  3. 3 Water scarcity assessments in the past, present, and future [DOI]
  4. 4 Irrigation management under water scarcity [DOI]
  5. 5 Sinking cities in Indonesia: ALOS PALSAR detects rapid subsidence due to groundwater and gas extraction [DOI]
  6. 6 IoT-Based Solutions to Monitor Water Level, Leakage, and Motor Control for Smart Water Tanks [DOI]
  7. 7 Effects of intensive urbanization on the intrusion of shallow groundwater into deep groundwater: Examples from Bangkok and Jakarta [DOI]
  8. 8 IoT based smart water tank with Android application [DOI]
  9. 9 Groundwater recharge and discharge processes in the Jakarta groundwater basin, Indonesia [DOI]
  10. 10 Impacts of precipitation, land use change and urban wastewater on groundwater level fluctuation in the Yogyakarta-Sleman Groundwater Basin, Indonesia [DOI]
  11. 11 Smart two-tank water quality and level detection system via IoT [DOI]
  12. 12 Water Quality Monitoring and Management of Building Water Tank Using Industrial Internet of Things [DOI]
  13. 13 IoT Based Water Tank Level Control System Using PLC [DOI]
  14. 14 IOT based water level and quality monitoring system in overhead tanks [DOI]
  15. 15 Arduino and IoT-based direct filter observation method monitoring the color change of water filter for safe drinking water [DOI]
  16. 16 Internet of Things: A literature review [DOI]
  17. 17 Autonomous Water tank Filling System using IoT [DOI]
  18. 18 IoT based real time water level monitoring using Texas instruments' CC3200 [DOI]
  19. 19 IoT enabled embedded ultrasonic sensor based water tank level system with pump switching control [DOI]
  20. 20 Design of Smart Farm Irrigation Monitoring System Using IoT and LoRA [DOI]
  21. 21 IOT design monitoring water tank study case: Instituto profissional de canossa (IPDC) [DOI]
  22. 22 SMART WATER GRID: AN IoT FRAMEWORK [DOI]
  23. 23 Smart Water Tank: An Iot Based Android Application

Cited by 3

Using IoT for Cistern and Water Tank Level Monitoring

Miguel A. Wister, Ernesto Leon, Alejandro Alejandro-Carrillo · Applied System Innovation · 2024

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