Skip to main content

Latest Trends of Integration of Gas Leakage and Fire Detection Using IoT: A Survey

  • Conference paper
  • First Online:
Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications

Abstract

The integration of gas leakage and fire detection using IoT applications offer in solving the transparency issue such as in communication and accountability. Due to existing of the advanced controller, the method is more effective than the classic system in terms of data collection from sensors which will be coded with python in a particular file, and for the ecology circumstances. A mechanical malfunction of the gas containing the equipment is the most frequent source of explosions and fires associated with gas leaks. When the malfunction happens, the gas may spill, causing fires which produce gases that burn. In addition to causing headaches, people might also experience irregular breathing due to a natural gas leak. This paper indicates a literature review of integration of gas leakage and fire detection using Internet-of-Things (IoT) systems. Commonly, the Raspberry Pi and Arduino Uno are used to establish this system. Next, different types of sensors will be compared and reviewed in terms of number of gases and chemicals that can be detected. This paper expects that using MQ 2 sensor is better than MQ 5 in detecting the certain gases and for the activation of alarm. MQ 5 gas sensors can be replaced with a MQ2 sensor as it detects a much wider spectrum of gases and chemicals.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Gomes, J., et al.: IoT-enabled gas sensors: technologies, applications, and opportunities. J. Sensor Actuator Netw. 8(4), 57 (2019)

    Article  Google Scholar 

  2. Adsul, S., Sharma, A.K., Mevekari, R.G.: Development of leakage detection system. In: 2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT). IEEE (2016)

    Google Scholar 

  3. Yang, Z., et al.: Research on leakage detection and analysis of leakage point in the gas pipeline system. Open J. Saf. Sci. Technol. 1(03), 94–100 (2011)

    Article  Google Scholar 

  4. Tamizharasan, V., et al.: Gas level detection and automatic booking using IoT. In: 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS). IEEE (2019)

    Google Scholar 

  5. Nag, A., et al.: Novel sensing approach for LPG leakage detection—part II: effects of particle size, composition, and coating layer thickness. IEEE Sensors J. 16(4), 1088–1094 (2015)

    Article  Google Scholar 

  6. Georgewill, O.M., Chukwunazo, J.E.: Design and implementation of SMS-based industrial/homes gas leakage monitoring & detection alarm system. Int. J. Eng. Trends Technol. (IJETT) 35(9), 410–416 (2016)

    Article  Google Scholar 

  7. Nasir, A.Y., et al.: Arduino based gas leakage control and temperature monitoring system. Int. J. Inf. Commun. Technol. (IJ-ICT) 9(3), 171–178 (2020)

    Google Scholar 

  8. Rahmalisa, U., Febriani, A., Irawan, Y.: Detector leakage gas lpg based on telegram notification using wemos D1 and Mq-6 sensor. J. Rob. Control (JRC) 2(4), 287–291 (2021)

    Google Scholar 

  9. Jamadagni, S., et al.: Gas leakage and fire detection using raspberry Pi. In: 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC). IEEE (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ahmad Anwar Zainuddin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zainuddin, A.A. et al. (2022). Latest Trends of Integration of Gas Leakage and Fire Detection Using IoT: A Survey. In: Mahyuddin, N.M., Mat Noor, N.R., Mat Sakim, H.A. (eds) Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore. https://doi.org/10.1007/978-981-16-8129-5_86

Download citation

Publish with us

Policies and ethics