Authors

Boya Vijay Kumar

UG Student, Dept. of E.C.E., GATES Institute of Technology, Gooty, Anantapur, Andhra Pradesh, India

Dr. Archek Praveen Kumar

Professor, Dept. of E.C.E., GATES Institute of Technology, Gooty, Anantapur, Andhra Pradesh, India

Vaddi Yashoda

UG Student, Dept. of E.C.E., GATES Institute of Technology, Gooty, Anantapur, Andhra Pradesh, India

Budigi Vishnu vardhan

UG Student, Dept. of E.C.E., GATES Institute of Technology, Gooty, Anantapur, Andhra Pradesh, India

Pavuluri Siva Kumar

UG Student, Dept. of E.C.E., GATES Institute of Technology, Gooty, Anantapur, Andhra Pradesh, India

Katamalla Sunil

UG Student, Dept. of E.C.E., GATES Institute of Technology, Gooty, Anantapur, Andhra Pradesh, India

Abstract

Industrial accidents due to harmful gas leaks are a major risk in chemical-based industries, often leading to severe injuries or fatalities among workers. This project aims to mitigate such risks using Internet of Things (IoT) technology combined with an ESP8266-based system. The ESP8266 microcontroller serves as the central processing unit, interfacing with multiple sensors like gas, temperature, and alcohol sensors to continuously monitor the industrial environment. These sensors detect fluctuations in gas levels and immediately alert the industry’s safety control board if any parameter exceeds safe thresholds.

An IoT-enabled alarm system provides real-time notifications via internet connectivity, allowing prompt intervention to prevent potential hazards. All data captured by the sensors is stored on the cloud, enabling analysis to refine safety protocols and regulatory measures. The rapid response rate of this multi-gas detection apparatus enhances its effectiveness, ensuring quicker action to prevent harm. With future upgrades, this system can improve air quality for those living near industrial zones by fostering a pollution-controlled environment [1].

Keywords

ESP8266 gas sensor turbidity sensor internet of things MQ sensors

Citation of this Article

Boya Vijay Kumar, Dr. Archek Praveen Kumar, Vaddi Yashoda, Budigi Vishnu vardhan, Pavuluri Siva Kumar, & Katamalla Sunil. (2025). Long Range Liquid and Gas Level Monitoring in Chemical Industries Based on IOT. International Current Journal of Engineering and Science - ICJES, 4(4), 30-34. Article DOI: https://doi.org/10.47001/ICJES/2025.404005

Licence Copyright (c) 2026 International Current Journal of Engineering and Science. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

References

  1. Chraim, Fabien and Erol, Yusuf Bugra and Pister, Kris, Wireless gas leak detection and localization, IEEE Transactions on Industrial Informatics 2016 IEEE.
  2. Amsaveni, M and Anurupa, A and Preetha, RS Anu and Malarvizhi, C and Gunasekaran, Mr Gsm based LPG leakage detection and controlling system, The International Journal Of Engineering And Science (IJES) ISSN (e) 2015.
  3. Suresh Kumar “Integration of Wireless Sensor Network with Virtual instrumentation in a Hazardous Environmental” Vol. 2, Issue 4, April 2014.
  4. Vishwajeet “A Survey on the Smart Homes using Internet of Things (IOT)”International journal of Advance Research in computer science and management studies .volume 2, Issue 12, December 2014.
  5. R. Raghavan, John Singh. K, Thippa Reddy G, Sudheer K and Venkatesh P and Stephen Olatunde Olabiyisi, A Case Study: Home Environment Monitoring System using Internet of Things , International Journal of Mechanical Engineering and Technology 8(11), 2017, pp. 173 – 180.
  6. Kaleel Ahmed A and Prof. Dr. C.B. Senthil Kumar, Correlating Internet of Things. International Journal of Management, 8 (2), 2017, pp. 68–76.
  7. Manan Mehta. ESP 8266: A Breakthrough in Wireless Sensor Networks and Internet of things. International Journal of Electronics and Communication Engineering & Technology, 6 (8), 2015, pp. 07 – 11.
  8. World Health Statistics, World Health Organization, Geneva, 2014.
  9. Arpitha, T and Kiran, Divya and Gupta, VSN Sitaram and Duraiswamy, Punithavath, FPGA-GSM based gas leakage detection system, India Conference (INDICON), 2016 IEEE Annual.
  10. Banerjee, S., Paul, S., Sharma, R., & Brahma, A. (2018, November). Heartbeat monitoring using iot. In 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 894-900). IEEE.
  11. Gautam, A., Verma, G., Qamar, S., & Shekhar, S. (2021). Vehicle pollution monitoring, control and challan system using MQ2 sensor based on internet of things. Wireless Personal Communications, 116, 1071-1085.
  12. Culpa, E. M., Mendoza, J. I., Ramirez, J. G., Yap, A. L., Fabian, E., & Astillo, P. V. (2021). A Cloud-Linked Ambient Air Quality Monitoring Apparatus for Gaseous Pollutants in Urban Areas. Journal of Internet Services and Information Security, 11(1), 64-79.
  13. Asthana, N., & Bahl, R. (2019, April). IoT device for sewage gas monitoring and alert system. In 2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) (pp. 1-7). IEEE.
  14. Rambabu, M., Reddy, G.A., Hyndavi, A., & Hemalatha, M. (2022). Gas Detection Using GPS Tracking System. International Journal of Communication and Computer Technologies IoT Based Detection and Alerting (IJCCTS), 10(1), 27-31.
  15. Galceran, S. J. D., Villarico, F. J. H., Omao, J. J. C., Estaniel, L. C. P., Saldo, I. J. P., Calo, J. R. D., & Dandoy, M. J. P. (2023). Development and Comparison of Arduino Based MQ7 and MQ-6 LPG Leak Sensors. American Journal of Sensor Technology, 7(1), 1-9.