RESEARCH AND DESIGN FIRE DETECTING AND WARNING ROBOT | Loan | TNU Journal of Science and Technology

RESEARCH AND DESIGN FIRE DETECTING AND WARNING ROBOT

About this article

Received: 18/05/22                Revised: 31/05/22                Published: 31/05/22

Authors

1. Do Thi Loan Email to author, TNU - University of Information and Communication Technology
2. Vu Thi Nguyet, TNU - University of Information and Communication Technology

Abstract


Leaking gas in large concentrations can cause many harmful consequences such as respiratory failure, vision loss, burning pain, skin burns, damage to the brain, nervous system, emotional disturbances. At the same time, it is also the cause of fires in families, apartment buildings, and factories that use gas. Fire causes damage to property as well as human life. Security equipment suppliers in the market have launched a wide variety of products, as well as many studies to reduce damage, but the products are usually fixed, so the monitoring area The monitoring is not wide, limited in the detection range of the sensor. Stemming from reality, the authors have researched and built a robot system that automatically moves, changes direction when encountering obstacles, collects, monitors, measures and warns of fire hazards by How to send a text message to a pre-registered phone number. Research results contribute to improving fire prevention and fighting, protecting human health and life, preserving property and material possessions.

Keywords


Gas leak; Fire detection; Fire warning; Security Robots; Warning message

References


[1] W. Zhang, "Electric fire early warning system of gymnasium building based on multi-sensor data fusion technology," 2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE), 2021, pp. 339-343.

[2] F. M. J. M. Shamrat, A. A. Khan, Z. Sultana, M. M. Imran, A. Abdulla, and A. Khater, "An Automated Smart Embedded System on Fire Detection and Prevention for Ensuring Safety," 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021, pp. 978-983.

[3] B. Siregar, H. F. Pratama, and I. Jaya, "LPG Leak Detection System Using MQTT Protocol on LoRa Communication Module," 2020 4rd International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM), 2020, pp. 215-218.

[4] M. A. F. Malbog, H. D. Grimaldo, L. L. Lacatan, R. M. Dellosa, and Y. D. Austria, "LPG Leakage and Flame Detection with SMS Notification and Alarm System: Rule-Based Method," 2020 11th IEEE Control and System Graduate Research Colloquium (ICSGRC), 2020, pp. 323-327.

[5] L. Zeng, G. Xu, L. Dong, and P. Hu, "Fast smoke and flame detection based on lightweight deep neural network," 2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2020, pp. 232-235.

[6] Q. I. Sarhan, "Arduino Based Smart Home Warning System," 2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE), 2020, pp. 201-206.

[7] M. U. Harun Al Rasyid, D. Enda, and F. A. Saputra, "Smart Home System for Fire Detection Monitoring Based on Wireless Sensor Network," 2019 International Electronics Symposium (IES), 2019, pp. 189-194.

[8] D-Robotics UK, MQ5 gas Sensor, MQ5 sensor datasheet, 2010.

[9] Miscellaneous, UltraSonic HY sensor, SRF05 datasheet, 2020.

[10] Fujitsu, Module sim 900A, Module sim datasheet, 2019.

[11] Takhte Jamshid Petrochemical Co, DC motor, Car motor datasheet, 2018.

[12] Espressif Systems, Arduino Uno R3, Arduino datasheet, 2019.




DOI: https://doi.org/10.34238/tnu-jst.6012

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