International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 6 (November-December 2025) Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Automated Detection of water Chlorine content using Nacl

Author(s) Ms. KN Rukmani Priya, Ms. R Kavishka, Ms. MC Mounisha, Ms. AS Haryni, Ms. AS Swaranthi, Ms. AJ Zakiyaa Sulthan, Ms. AP Gowsika, Mr. S hariprasanna, Mr. Chandru Murugesan
Country India
Abstract Abstract Of most primary concern is the understanding that public safety and health are to be ensured by the purity of drinking water. Chlorination has been carried out most extensively for disinfection of water all over the world because it can destroy pathogens. While this is most preferable, chlorinating quantities of water must be tightly controlled since too minimal as well as too much a level can result in severe hazards. Conventional chlorine analysis methods are reagent-based chemical, labor, and manual, constraining them to use in continuous measurement systems. In the current paper, an automated system of detecting chlorine content based on the principle of NaCl reaction and sensors like color sensor (TCS3200), pH sensor, and turbidity sensor is introduced. The system revolves around an ESP32/Arduino microcontroller, which governs the sensor readings and enables real-time monitoring of chlorine utilizing LCD display, RGB LED light signal, and buzzer alarm. It's cost-effective, light in weight, and can provide real-time monitoring of water quality, and therefore appropriate for domestic, industrial, and municipal applications.
Keywords: Detection of chlorine, NaCl reaction, TCS3200 color sensor, pH sensor, ESP32, Arduino, IoT water monitoring.
Keywords Chlorine detection, Water quality monitoring, NaCl reaction, TCS3200 color sensor, pH sensor, Turbidity sensor, ESP32, Arduino, IoT-based system, Real-time monitoring, Automated water analysis, Disinfection control, Smart water management, Public health safety.
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-11-27
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.58988
Short DOI https://doi.org/hbdrd9

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