Air Quality Monitoring Using IoT Cloud Framework in Underground Mining

Year : 2024 | Volume :14 | Issue : 01 | Page : 46-65
By

Raghunath Rout,

Subhendukumar Pani,

Niva Tripathy,

  1. Research Scholar Department of Computer Science, Biju Patnaik University of Technology, Rourkela Odisha India
  2. Professor and Research Coordinator Department of Computer Science, Biju Patnaik University of Technology, Rourkela Odisha India
  3. Assistant Professor Department of Computer Science and Engineering, Dhaneswar Rath Institute of Engineering and Management Studies, Cuttack Odisha India

Abstract

The quality of air is a major concern nowadays; this is due to its crucial impact on human beings. Maintaining a good and healthy environment in a closed area depends heavily on the atmosphere. The primary difficulty lies in upholding air quality within an enclosed workplace setting. The conventional way to measure the quality of air was to collect the air quality samples by the fixed instruments in fields and measure the index in laboratories but with advances of Micro electromechanical Systems (MEMS) and Internet of Things (IOT) devices, the purity of air can be monitored in real time. This can be possible for the IOT enabled devices to collect the important data from the site (UG mine) and send the information to the base station to take preventive measures to improve the air quality or may design a way and set standards by which we can make prior arrangements for safe exit of personnel. In this study, we propose an IOT based real time air quality monitoring system to the level air is pure and acceptable.

Keywords: Underground mining, IoT, cloud, framework, air quality

[This article belongs to Journal of Communication Engineering & Systems(joces)]

How to cite this article: Raghunath Rout, Subhendukumar Pani, Niva Tripathy. Air Quality Monitoring Using IoT Cloud Framework in Underground Mining. Journal of Communication Engineering & Systems. 2024; 14(01):46-65.
How to cite this URL: Raghunath Rout, Subhendukumar Pani, Niva Tripathy. Air Quality Monitoring Using IoT Cloud Framework in Underground Mining. Journal of Communication Engineering & Systems. 2024; 14(01):46-65. Available from: https://journals.stmjournals.com/joces/article=2024/view=143944



References

  1. GSMA. (2018 Feb 26). Air quality monitoring using IoT and big data—a value generation guide for mobile operators: GSMA Report. [Online]. Available on: https://www.gsma.com/iot/resources/air-quality-monitoring-using-iot-big-data-value-generation-guide-mobile-operators/
  2. Ciuti G, Ricotti L, Menciassi A, Dario P. MEMS sensor technologies for human centred applications in healthcare, physical activities, safety and environmental sensing: a review on research activities in Italy. Sensors. 2015; 15(3): 6441–6468. Accessed 22 Feb 2020
  3. Huf M. MEMS: an enabling technology for the internet of things (IoT). Internet of things and data analytics handbook, chapter 9. Hoboken: Wiley; 2017; 147–166.
  4. Kaur H, Singh J. Review on embedded system. Int J Innov Res Electr Electron Instrum Control Eng. 2013; 1(9): 425–427.
  5. Kadir Ahmad Dziaul Islam Abdul, et al. Cloud-based iot air quality monitoring system. 2021 26th IEEE Asia-Pacific Conference on Communications (APCC). 2021; 121–127.
  6. Osunmakinde Isaac O. Towards safety from toxic gases in underground mines using wireless sensor networks and ambient intelligence. Int J Distrib Sens Netw. 2013; 9(2): 159273.
  7. Ali Mohammed Hasan, et al. Improving coal mine safety with internet of things (IoT) based Dynamic Sensor Information Control System. Physics and Chemistry of the Earth, Parts A/B/C. 2022; 128: 103225.
  8. Idrees Zeba, Lirong Zheng. Low cost air pollution monitoring systems: A review of protocols and enabling technologies. J Ind Inf Integration. 2020; 17: 100123.
  9. Cheng Yun, et al. AirCloud: A cloud-based air-quality monitoring system for everyone. Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems. 2014; 251–265.
  10. Gonzalez Ernesto, et al. LoRa sensor network development for air quality monitoring or detecting gas leakage events. Sensors. 2020; 20(21): 6225.
  11. Jo Byung Wan, Rana Muhammad Asad Khan. An event reporting and early-warning safety system based on the internet of things for underground coal mines: A case study. Appl Sci. 2017; 7(9): 925.
  12. United States Environmental Protection Agency. Carbon Monoxide Home. [Online]. Available online: http://www.epa.gov/airquality/carbonmonoxide/ (accessed on 27 August 2015).
  13. United States Environmental Protection Agency. Nitrogen Dioxide Home. [Online]. Available online: http://www.epa.gov/airquality/nitrogenoxides/ (accessed on 27 August 2015).
  14. United States Environmental Protection Agency. Ground Level Ozone. [Online]. Available online: http://www.epa.gov/airquality/ozonepollution/ (accessed on 27 August 2015).
  15. United States Environmental Protection Agency. Sulfur Dioxide Home. [Online]. Available online: http://www.epa.gov/airquality/sulfurdioxide/ (accessed on 27 August 2015).
  16. United States Environmental Protection Agency. Particulate Matter Home. [Online]. Available online: http://www.epa.gov/airquality/particlepollution/ (accessed on 27 August 2015).
  17. United States Environmental Protection Agency. Lead Home. [Online]. Available online: http://www.epa.gov/airquality/lead/ (accessed on 27 August 2015).
  18. Chou J. Electrochemical Sensors. In Hazardous Gas Monitors—A Practical Guide to Selection, Operation and Applications. New York, NY, USA: McGraw-Hill and SciTech Publishing; 1999; 27–35.
  19. Ranjan A, Sahu HB, Misra P. Modeling and measurements for wireless communication networks in underground mine environments. Measurement. 2020; 149: 106980.
  20. Chiang CW, Das SK, Chiang HW, Nee JB, Sun SH, Chen SW, Lin PH, Chu JC, Su CS, Su LS. A new mobile and portable scanning lidar for profiling the lower troposphere. Geosci Instrum Methods Data Syst. 2015; 4: 35–44.
  21. Moridi MA, Sharifzadeh M, Kawamura Y, Jang HD. Development of wireless sensor networks for underground communication and monitoring systems (the cases of underground mine environments). Tunn Undergr Space Technol. 2018; 73: 127–138.
  22. Ranjan A, Sahu HB, Misra P. Wireless sensor networks—an emerging solution for underground mines. Int J Appl Evol Comput. 2016; 7(4): 1–27.
  23. Ikeda H, Kolade O, Mahboob MA, Cawood FT, Kawamura Y. Communication of sensor data in underground mining environments: an evaluation of wireless signal quality over distance. Mining. 2021; 1(2): 211–23.
  24. Zrelli A, Ezzedine T. A comparative strategies of node deployment for structural health monitoring. In: 4th International Conference on Control Engineering & Information Technology. 2016; 1–4.
  25. Toshihiko Y, Kiyoshi K, Katsuji I, Teruzi O. Fiber-optic Fabry-Perot interferometer and its sensors applications. IEEE Trans Microw Theory Tech. 1982; MTT-30(10): 1612–1622.
  26. Zrelli A, Ezzedine T. Localization of damage using wireless sensor networks for tunnel health monitoring. In: 13th International Wireless Communications and Mobile Computing Conference (IWCMC). 2017; 1161–1165.
  27. Spachos P, Hatzinakos D. Real-time indoor carbon dioxide monitoring through cognitive wireless sensor networks. IEEE Sens J. 2016; 16(2): 506–514.
  28. Syafrudin M, Alfan G, Fitriyani NL, Rhee J. Performance analysis of IoT-based sensor, big data processing, and machine learning model for real-time monitoring system in automotive manufacturing. Sensors. 2018; 18(9): 1–24.
  29. Tan W, Wang Q, Huang H, Guo Y, Zhang G. Mine fre detection system based on wireless sensor network. In: Proceedings of the 2007 IEEE International Conference on Information Acquisition, July 9–11, 2007, Jeju City, Korea. 2007; 148–151.
  30. Wei S, Li-Li L. Multi-parameter monitoring system for coal mine based on wireless sensor network technology. In: 2009 International Conference on Industrial Mechatronics and Automation, IEEE ICIMA. 2009; 225–227. Accessed 18 Feb 2020
  31. Guang-Zhu Chen, Zhen-Cai Zhu, Gong-Bo Zhou, Chun-Feng Shen, Yan-Jing Sun. Sensor deployment strategy for chain-type wireless underground mine sensor network. China Univ Min Technol. 2008; 18: 0561–0566.
  32. Lalatendu Muduli, Jana Prasanta K, Devi Prasad Mishra. A novel wireless sensor network deployment scheme for environmental monitoring in Longwall coal mines. Process Saf Environ Prot. 2017; 109: 564–576.

Regular Issue Subscription Review Article
Volume 14
Issue 01
Received February 7, 2024
Accepted April 12, 2024
Published April 22, 2024