Design and Implementation of a Novel IoT Carbon Monoxide Detection System Using IP-based WiFi Location

Authors

  • Hadj Zerrouki STIC Laboratory, Department of Telecommunication, Faculty of Technology, University of Tlemcen
  • Mourad Hadjila STIC Laboratory, Department of Telecommunication, Faculty of Technology, University of Tlemcen
  • Salima Azzaz-Rahmani Department of Telecommunication, Faculty of Electrical Engineering, University of Sidi Bel Abbes

DOI:

https://doi.org/10.26713/jims.v13i2.1577

Keywords:

WiFi location, Carbon monoxide, Wemos D1, Internet of Things, Civil protection

Abstract

Throughout the world and more particularly in Algeria, Carbon Monoxide (CO) poisoning is one of leading cause of death and taking worrying proportions. Colorless, odorless, non-irritating, this silent killer is responsible for more than 100 deaths each year, for several thousand hospitalizations, especially during the winter period when the cold sets in and the demand for heating homes increases. However, the protection of human lives becomes a top priority and consequently the CO leak location will have to be done as quickly as possible to provide first aid in record time. In this paper we present the design, development and a case of use of a novel Internet-of-Things (IoT) carbon monoxide detection system using IP-based WiFi location. Once the CO leak occurs, a notification alert message is sent to civil defense containing the detected CO amount and the public IP address used to extract the real location address of the CO leak by sending a request to a database provided by an internet service provider and therefore provide the necessary assistance in a timely manner by contacting the nearest unit.

Downloads

Download data is not yet available.

References

H.E. Adardour, M. Hadjila, S.M.H. Irid, T. Baouch and S.E. Belkhiter, Outdoor alzheimers patients tracking using an IoT system and a Kalman filter estimator, Wireless Personal Communications 116(1) (2020), 249 – 265, DOI: 10.1007/s11277-020-07713-4.

A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari and M. Ayyash, Internet of Things: A survey on enabling technologies, protocols, and applications, IEEE Communications Surveys & Tutorials 17(4) (2015), 2347 – 2376, DOI: 10.1109/comst.2015.2444095.

M.V.C. Caya, A.P. Babila, A.M.M. Bais, S.J.V. Im and R. Maramba, Air pollution and particulate matter detector using raspberry Pi with IoT based notification, In 2017 IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), IEEE, (2017), pp. 1 – 4, DOI: 10.1109/hnicem.2017.8269490.

C.-C. Chen, G.-N. Sung, W.-C. Chen, C.-T. Kuo, J.-J. Chue, C.-M. Wu and C.-M. Huang, A wireless and batteryless intelligent carbon monoxide sensor, Sensors 16(10) (2016), 1568, DOI: 10.3390/s16101568.

F. Corno, T. Montanaro, C. Migliore and P. Castrogiovanni, Smartbike: An IoT crowd sensing platform for monitoring city air pollution, International Journal of Electrical and Computer Engineering 7(6) (2017), 3602, DOI: 10.11591/ijece.v7i6.pp3602-3612.

R. Crawford, D.G. Campbell and J. Ross, Carbon monoxide poisoning in the home: recognition and treatment, British Medical Journal 301 (1990), 977 – 979, DOI: 10.1136/bmj.301.6758.977.

E. Estrada, M. Moreno, K. Martin, í.L. Mever, P.M. Rodrigo and S. Gutiérrez, Low cost CO detector integrated with IoT, in 2019 IEEE International Conference on Engineering Veracruz (ICEV), IEEE, (2019), pp. 1 – 4, DOI: 10.1109/icev.2019.8920567.

M. Goldstein, Carbon monoxide poisoning, Journal of Emergency Nursing 34(6) (2008), 538 – 542, DOI: 10.1016/j.jen.2007.11.014.

S.M.H. Irid, M. Hadjila and H.E. Adardour, Design and implementation of an IoT prototype for the detection of carbon Monoxide, in 6th International Conference on Image and Signal Processing and their Applications (ISPA), IEEE, (2019), pp. 1 – 5, DOI: 10.1109/ispa48434.2019.8966882.

S.M.H. Irid, M. Hadjila, H.E. Adardour and I.Y. Nouali, Design and realization of an IoT prototype for location remote monitoring via a web application, in The Proceedings of the Third International Conference on Smart City Applications, SCA 2020: Innovations in Smart Cities Applications, Vol. 4 (2021), Springer International Publishing, pp. 977 – 991, DOI: 10.1007/978-3-030-66840-2_74.

B. Miles, S. Chikhi and El-B. Bourennane, Carbon monoxide detection: an IoT application used as a tool for civil protection services to save lives, in Proceedings of the 3rd International Conference on Future Networks and Distributed Systems, (2019), pp. 1 – 4, DOI: 10.1145/3341325.3341998.

F.X. Ming, R.A.A. Habeeb, F.H.B. Md Nasaruddin and A.B. Gani, Realtime carbon dioxide monitoring based on iot & cloud technologies, in Proceedings of the 2019 8th International Conference on Software and Computer Applications, (2019), pp. 517 – 521, DOI: 10.1145/3316615.3316622.

S. Monk, Fritzing for Inventors: Take Your Electronics Project from Prototype to Product, McGraw-Hill Education (2016).

C. Nandi, R. Debnath and P. Debroy, Intelligent control systems for carbon monoxide detection in IoT Environments, in Guide to Ambient Intelligence in the IoT Environment, Springer, Cham, (2019), pp. 153 – 176, DOI: 10.1007/978-3-030-04173-1_7.

C.A. Neto, J.I. Yanagihara and F. Turri, A carbon monoxide transport model of the human respiratory system applied to urban atmosphere exposure analysis, Journal of the Brazilian Society of Mechanical Sciences and Engineering 30(3) (2008), 253 – 260, DOI: 10.1590/s1678-58782008000300011.

V.L. Paruchuri and P. Rajesh, IoT for monitoring carbon monoxide (CO) emissions using wireless sensor networks in smart cities, International Journal of Engineering & Technology 7(2) (2018), 1045 – 1050, DOI: 10.14419/ijet.v7i2.7.12226.

D. Pateron, M. Raphaí«l and A. Trinh-Duc, Fiche 78 - Intoxication au monoxyde de carbone et aux fumées, Mega-Guide Pratique Des Urgences (2e édition) (2019), 508 – 511, DOI: 10.1016/b978-2-294-76093-8.00078-0.

H.H. Qasim, A.E. Hamza, H.H. Ibrahim, H.A. Saeed and M.I. Hamzah, Design and implementation home security system and monitoring by using wireless sensor networks WSN/Internet of Things IoT, International Journal of Electrical and Computer Engineering 10(3) (2020), 2617, DOI: 10.11591/ijece.v10i3.pp2617-2624.

T. Ran, T. Nurmagambetov and K. Sircar, Economic implications of unintentional carbon monoxide poisoning in the United States and the cost and benefit of CO detectors, The American Journal of Emergency Medicine 36(3) (2018), 414 – 419, DOI: 10.1016/j.ajem.2017.08.048.

J.C. Raphael, M.C. Jars-Guincestre and P. Gajdos, Intoxication Aiguí« par le monoxyde de carbone, Réanimation Urgences 1(5) (1992), 723 – 735, DOI: 10.1016/s1164-6756(05)80025-8.

M. Rivai, H. Rahmannuri, M. Rohfadli, H. Pirngadi and Tasripan, Monitoring of carbon monoxide and sulfur dioxide using electrochemical gas sensors based on IoT, in 2020 International Seminar on Intelligent Technology and Its Applications, (2020), pp. 61 – 65, DOI: 10.1109/isitia49792.2020.9163731.

S. Sabouraud, F. Testud, Y. Vanlerberghe, A.-M. Patat and B. Delafosse, Une intoxication par le monoxyde de carbone sans combustion, Journal Européen des Urgences et de Réanimation 24(2) (2012), 127 – 130, DOI: 10.1016/j.jeurea.2011.12.001.

H.N. Saha, S. Auddy, A. Chatterjee, S. Pal, S. Pandey, R. Singh, R. Singh, P. Sharan, S. Banerjee, D. Ghosh and A. Maity, Pollution control using Internet of Things (IoT), in 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON), IEEE, (2017), pp. 65 – 68, DOI: 10.1109/iemecon.2017.8079563.

F.N. Setiawan and I. Kustiawan, IoT based air quality monitoring, in IOP Conference Series: Materials Science and Engineering, IOP Publishing, 384 (2018), 012008, DOI: 10.1088/1757-899x/384/1/012008.

K. Sircar, J. Clower, M.K. Shin, C. Bailey, M. King and F. Yip, Carbon monoxide poisoning deaths in the United States, 1999 to 2012, The American Journal of Emergency Medicine 33(9) (2015), 1140 – 1145, DOI: 10.1016/j.ajem.2015.05.002.

R. Sokullu, M.A. Akka¸s and E. Demir, IoT supported smart home for the elderly, Internet of Things 11 (2020), p. 100239, DOI: 10.1016/j.iot.2020.100239.

B.L.R. Stojkoska and K.V. Trivodaliev, A review of Internet of Things for smart home: challenges and solutions, Journal of Cleaner Production 140 (2017), 1454 – 1464, DOI: 10.1016/j.jclepro.2016.10.006.

T. Struttmann, A. Scheerer, T.S. Prince and L.A. Goldstein, Unintentional carbon monoxide poisoning from an unlikely source, Journal of the American Board of Family Practice 11(6) (1998), 481 – 484, DOI: 10.3122/jabfm.11.6.481.

A. Verrier and J.-M. Thiolet, Les Intoxications Au Monoxyde de Carbone : de La Surveillance í L'action de Santé Publique, France Métropolitaine, Revue d'í‰pidémiologie et de Santé Publique 61(4) (2013), S290 – S291, DOI: 10.1016/j.respe.2013.07.288.

L.K. Weaver, Carbon monoxide poisoning, New England Journal of Medicine 360(12) (2009), 1217 – 1225, DOI: 10.1056/nejmcp0808891.

V.P. Zhalnin, A.S. Zakharova, D.A. Uzenkov, A.I. Vlasov, A.I. Krivoshein and S.S. Filin, Configuration-making algorithm for the smart machine controller based on the internet of things concept, International Review of Electrical Engineering 14(5) (2019), 375 – 384, DOI: 10.15866/iree.v14i5.16923.

Downloads

Published

2021-06-30
CITATION

How to Cite

Zerrouki, H., Hadjila, M., & Azzaz-Rahmani, S. (2021). Design and Implementation of a Novel IoT Carbon Monoxide Detection System Using IP-based WiFi Location. Journal of Informatics and Mathematical Sciences, 13(2), 83–95. https://doi.org/10.26713/jims.v13i2.1577

Issue

Section

Research Articles