Skip to main content

IOT-Based Water Level Management System

  • Conference paper
  • First Online:
Micro-Electronics and Telecommunication Engineering (ICMETE 2023)

Abstract

In countries like India, shortage of water is a serious concern, especially in the southern states such as Tamil Nadu, Kerala and Andhra Pradesh. This shortage of water becomes entangled when there is a loss of water during transmission process. Hence, there must be innovative methodologies for water management and automation for commercial buildings in order to sort these concerns. The proposed system in this paper will execute water management in the form of planning, distributing and maintaining resources of water with IoT. The autonomous water controller includes a microcontroller (ESP8266), relay-controlled motor, a waterproof ultrasonic sensor and a float switch. The water level control system is implemented with a web dashboard arrangement for appropriate display. The presented system will be an important approach for managing water resources both for residential and commercial purposes effectively.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Loizou C, Koutroulis E,. Zalikas D, Liontas G (2016) A low-cost capacitive sensor for water level monitoring in large-scale storage tanks. In: IEEE International Conference on Industrial Technology (ICIT), pp 125–165

    Google Scholar 

  2. Raja V, Sivabalakrishnan D, Uthariaraj R (2019) An intelligent decision support system for precision agriculture using IoT and machine learning. In: International Conference on Computer Communication and Informatics (ICCCI), pp 1–6

    Google Scholar 

  3. Gama-Moreno LA, Corralejo A, Ramirez A, Carrillo-Ruiz, Jaramillo F (2019) Smart water quality monitoring system using IoT and cloud computing. In: IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), pp 1–5

    Google Scholar 

  4. Johari A, AbdWahab MH, Abdul Latif NS, Erdi Ayob M, Izwan Ayob M, Afif Ayob M, Haji Mohd MN (2011) Tank water level monitoring system using GSM network. Int J Comput Sci Inf Technol 2:1114–1115

    Google Scholar 

  5. Haron, NS, Mahamad MKB, Aziz IA, Mehat M (2008) A system architecture for water quality monitoring system using wired sensors. In: International Symposium on Information Technology, Kuala Lumpur, Malaysia, vol 4, pp 1–7

    Google Scholar 

  6. Jin N, Ma R, Lv Y, Lou X, Wei Q (2012) A novel design of water environment monitoring system based on WSN. In: International Conference on Computer Design and Applications, vol 2, San Jose, CA, USA, pp 2–593

    Google Scholar 

  7. Peng P (2007) Study on key technology of remote real-time monitoring system for wetland water environment based on wireless sensor network. Tech J Sens Actuators, 187–190

    Google Scholar 

  8. Shankari M, Jyothi ME, Naveen I, Herle H (2013) Wireless automatic water level control using radio frequency communication. Int J Comput Sci Inf Technol 2:1320–1324

    Google Scholar 

  9. Kaur A, Sandhu K (2018) Real-time water quality monitoring system using IoT. In: Third International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), pp 1–6

    Google Scholar 

  10. Kumar R, Mittal A, Bansal V (2018) Smart water quality monitoring and control system. In: 8th International Conference on Cloud Computing, Data Science and Engineering (Confluence), pp 654–658

    Google Scholar 

  11. Kedia N (2015) Water quality monitoring for rural areas—a sensor cloud based economical project. In: International Conference on Next Generation Computing Technologies, pp 50–54

    Google Scholar 

  12. Clote NA, Malekian R, Nair L (2016) Design of smart sensors for real-time water quality monitoring. IEEE Access 4(9): 3975–3990

    Google Scholar 

  13. Xu Y, Liu F (2017) Application of wireless sensor network in water quality monitoring. In: IEEE International Conference on Computational Science and Engineering (CSE), Guangzhou, China, pp 21–24

    Google Scholar 

  14. Qian D, Xia X, Zeng G, Li Y (2017) Wireless sensor network-based water quality monitoring system for the protection of urban rivers. Water Sci Technol 75(4):822–831

    Google Scholar 

  15. Singh R, Gehlot A, Thakur AK, Swain M, Akram SV (2020) Wireless sensor network with power management system for water level regulation in paddy fields. Int J Innovative Technol Explor Eng (IJITEE) 9:1243–1246

    Article  Google Scholar 

  16. Shahin G, Elamvazuthi I, Taib A (2017) A review of wireless sensors and networks applications in agriculture. Comput Stan Interfaces 53:322–331

    Google Scholar 

  17. Dinesh Kumar T, Archana MA, Umapathy K, Gayathri G, Bharathvaja V, Anandhi B (2023) RFID based smart electronic locking system for electric cycles. In: IEEE Xplore, Fourth IEEE International Conference on Electronics and Sustainable Communication Systems, 1CESC 2023 Proceedings, Coimbatore, pp 76–81

    Google Scholar 

  18. Umapathy K, Omkumar S, Muthukumaran D, Chandramohan S, Sivakumar M (2023) Autonomous health care robot. Lect Notes Netw Syst 617:227–233

    Google Scholar 

  19. Umapathy K, Omkumar S, Muthukumaran D, Chandramohan S, Sivakumar M (2023) Thingspeak based garbage monitoring and collecting system. Lect Notes Netw Syst 617:235–242

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K. Umapathy .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Boovarahan, N.C.A. et al. (2024). IOT-Based Water Level Management System. In: Sharma, D.K., Peng, SL., Sharma, R., Jeon, G. (eds) Micro-Electronics and Telecommunication Engineering. ICMETE 2023. Lecture Notes in Networks and Systems, vol 894. Springer, Singapore. https://doi.org/10.1007/978-981-99-9562-2_29

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-9562-2_29

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9561-5

  • Online ISBN: 978-981-99-9562-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics