IoT Smart Control System: Smoke and Fire Detection Using SIM900A Module

Authors

  • Rahmat Fauzi Siregar Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Sumatera Utara https://orcid.org/0009-0009-4211-3023
  • Affandi Affandi Department of Mechanical Engineering, Faculty of Engineering, Universitas Muhammadiyah Sumatera Utara
  • Rohana Rohana Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Sumatera Utara
  • Arya Rudi Nasution Department of Mechanical Engineering, Faculty of Engineering, Universitas Muhammadiyah Sumatera Utara
  • Iqbal Tanjung Department of Mechanical Engineering, Faculty of Engineering, Universitas Muhammadiyah Sumatera Utara

DOI:

https://doi.org/10.18196/jet.v7i2.19908

Keywords:

Control Logic, Fire and smoke detection, Flame and MQ2 Sensors, Semi-Fuzzy Algorithm, SIM900A GSM Module

Abstract

The main focus of this system is to detect smoke and fire effectively in potential hazard situations. This system utilizes sensor technology to monitor changes in environmental conditions, with the aim of providing quick responses and notifications to users or relevant authorities via a cellular connection. This approach combines feedback signals from sensors and cellular connectivity using the SIM900A module processed with a microcontroller to increase the efficiency and reliability of hazard detection. This system was designed with the aim of providing an efficient and affordable solution for detecting potential fires or other hazardous situations in various environments, including homes, offices and industrial areas. Trial results show that this system is capable of detecting smoke and fire with high accuracy, as well as providing instant notifications via text messages or digital notifications. This innovation is expected to make a positive contribution in improving safety and security in various sectors, while leveraging the potential of IoT connectivity to provide smarter solutions in hazard detection.

Author Biography

Rahmat Fauzi Siregar, Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Sumatera Utara

Department of Electrical Engineering, Faculty of Engineering

References

P. Xofis, P. Konstantinidis, I. Papadopoulos, and G. Tsiourlis, “Integrating remote sensing methods and fire simulation models to estimate fire hazard in a south-east mediterranean protected area,” Fire, vol. 3, no. 3, pp. 1–23, 2020.

R. M. Rodney et al., “Physical and Mental Health Effects of Bushfire and Smoke in the Australian Capital Territory 2019–20,” Front. Public Heal., vol. 9, no. October, pp. 1–13, 2021.

M. Papatsimouli, L. Lazaridis, D. Ziouzios, M. Dasygenis, and G. Fragulis, “Internet Of Things (IoT) awareness in Greece,” SHS Web Conf., vol. 139, p. 03013, 2022.

P. Borkar, P. U. Chanana, S. K. Atwal, T. G. Londe, and Y. D. Dalal, “The Replacement of HMI (Human-Machine Interface) in Industry Using Single Interface Through IoT,” 2021.

R. Fauzi Siregar, R. Syahputra, and M. Yusvin Mustar, “Human-Robot Interaction Based GUI,” J. Electr. Technol. UMY, vol. 1, no. 1, pp. 10–19, 2017.

A. H. Bhattarai, G. Y. Sanjaya, A. Khadka, R. Kumar, and R. A. Ahmad, “The addition of mobile SMS effectively improves dengue prevention practices in community: an implementation study in Nepal,” BMC Health Serv. Res., vol. 19, 2019.

K. Maskrey, “Hardware Design,” Build. iPhone OS Accessories, pp. 193–219, 2010.

F. Pasaribu, “Spectrum Management in Indonesia,” no. November, 2017.

M. Z. Tun and H. Myint, “Arduino based Fire Detection and Alarm System Using Smoke Sensor,” Int. J. Adv. Sci. Res. Eng., vol. 06, no. 04, pp. 89–94, 2020.

S. Madhura, G. Deepthi, B. Chinnitaha, and D. Disha, “IoT Based Monitoring and Control System using Sensors,” June 2021, 2021.

Dr. Pavan Shukla, Utkarsh Srivastava, Sridhar Singh, and Rishabh Tripathi, Rakesh Raushan Sharma, “Automatic Engine Locking System Through Alcohol Detection,” Int. J. Eng. Res., vol. V9, no. 05, pp. 637–640, 2020.

A. Aneesh, A. Cyriac, and S. Basheer, “A Smart Real Time Fire and Smoke Detection System,” Ijedr, vol. 7, no. 2, pp. 82–86, 2019.

P. Technical, “KY-026 Flame-sensor module,” pp. 118–124, 2017.

Hanwei Electronics, “Technical Mq-2 Gas Sensor,” Smoke Sens., vol. 1, no. 1, pp. 3–5, 2006.

N. Evalina, D. Sholeha, and F. I. Pasaribu, “Power Measurement System Prototype Design Used in Household Loads with The Arduino,” vol. 1, no. 2, pp. 56–60, 2022.

M. A. Mazidi, S. Naimi, and S. Naimi, “AVR Microcontroller and Embedded Systems The.” p. 118, 2011.

Rohana and Suwarno, “Optimization circuit based buck-boost converter for charging the solar power plant,” Indones. J. Electr. Eng. Comput. Sci., vol. 6, no. 2, pp. 254–258, 2017.

Downloads

Published

2024-04-05

How to Cite

Siregar, R. F., Affandi, A., Rohana, R., Nasution, A. R., & Tanjung, I. (2024). IoT Smart Control System: Smoke and Fire Detection Using SIM900A Module. Journal of Electrical Technology UMY, 7(2), 48–56. https://doi.org/10.18196/jet.v7i2.19908

Issue

Section

Articles