IOT-Enabled Water Control System: Integrated Level Monitoring and Quality Assessment

DOI

10.2991/978-94-6463-858-5_291How to use a DOI?

Keywords

Node MCU ESP8266 microcontroller; 16X2 LCD; Wifi; Relay module; I2C module; Water level sensor; Submersible pump; PCB; Arduino IDE; Blynk cloud application Embedded C

Abstract

Human carelessness frequently affects traditional water management systems, leading to waste and runoff. To address this issue, we have created Internet of Things solutions. Plans presented by Rankin: An immediate solution for water monitoring and management in a variety of applications, including water tanks, is provided by an autonomous water level measuring and control system created especially for smart cities. The world we live in is constantly changing, and everything can improve our quality of life if we use it. With the use of an ESP8266 NodeMCU microcontroller and WiFi, this project creates a water monitoring and control system that will automatically turn on and off the pump as needed and let us know if the tank is full or empty. Water level depth detecting sensors positioned throughout the model keep gathering data, which the ESP8266 with wifi module subsequently analyzes. Low, medium, and high water are among the conditions for which the concepts are intended. In order to ensure safety and avoid damage, it uses WiFi technology to alert the user if the water level rises and turns on the water pump to remove extra water. The concept's benefits include its wide applicability, automation, and simplicity. It is also anticipated that the concepts put forth will offer dependable, practical, and efficient solutions for smart city security and water level control. The creation of a water meter that can communicate with a WiFi module to send a notification to the operator is explained in this article. The concentration of suspended particles in the water immediately correlates with the intensity of the scattered light, which is then translated into a turbidity value that is frequently given in Nephelometric Turbidity Units (NTU). By keeping an eye on the clarity of raw water and throughout water treatment procedures, turbidity sensors contribute to the safety of drinking water. In order to evaluate the effects of pollution and other variables, they are used to monitor the water quality in natural settings including rivers, lakes, and seas. An indispensable tool for determining the acidity or alkalinity of water is a pH sensor. The pH scale, which goes from 0 to 14, is a numerical representation of the chemical makeup of water. Neutrality is represented by a pH of 7. Alkalinity is indicated by values above 7, whereas acidity is indicated by values below 7. An LCD display and Arduino cloud are used to monitor all of this actual data. When the water level exceeds the critical level, an SMS is sent to the target expert's mobile phone with the information. The design has been thoroughly examined and can be utilized to lower the possibility of complaints about a water scarcity and stop dry running from using electricity.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - P. Ramathulasi
AU  - B. Rafiya Sulthanasha
AU  - E. Dharani
AU  - D. Dillshad
AU  - G. Prathyusha
AU  - K. Srivani
PY  - 2025
DA  - 2025/11/04
TI  - IOT-Enabled Water Control System: Integrated Level Monitoring and Quality Assessment
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 3477
EP  - 3488
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_291
DO  - 10.2991/978-94-6463-858-5_291
ID  - Ramathulasi2025
ER  -