SMART BELT FOR COAL MINERS

Authors

  • Chandrasekar T Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology Chennai, India
  • Dinesh Kumar R Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology Chennai, India
  • Bhaventhan R Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology Chennai, India
  • T S Bhuvaneshwaran Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology Chennai, India
  • Dr. T. Vino Professor, Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology Chennai, India

Keywords:

Smart Belt, Coal Miners, Gas Detection, Coal Miners Safety, Vital Signs Monitoring, Real Time Alert System

Abstract

This project presents the design and development of a smart belt for coal miners, aimed at improving safety through real- time monitoring of environmental and physiological conditions. The smart belt is equipped with an ESP32 microcontroller, gas sensors, and a pulse oximeter. The primary function of the gas sensors is to detect the presence of hazardous gases such as methane (CH₄) and carbon monoxide (CO), both of which are prevalent in coal mining environments and pose significant health risks. At the same time, the pulse oximeter monitors the miner’s blood oxygen levels and heart rate, providing continuous data on their vital signs. When any hazardous gas is detected or if the miner’s oxygen saturation or heart rate deviates from safe thresholds, the system automatically generates an alert message. This alert is transmitted via the ESP32’s wireless communication capabilities directly to the mine manager, ensuring timely notifications. The real-time nature of this system allows managers to monitor the status of miners and environmental conditions without delay, enabling them to respond swiftly to emergencies and reduce potential risks. The smart belt is designed to function as a proactive safety tool. By continuously monitoring critical parameters, it aims to identify potential hazards before they escalate into dangerous situations. For instance, the early detection of rising methane or carbon monoxide levels can prompt immediate evacuation or other safety measures. Similarly, monitoring a miner's vital signs can help identify signs of fatigue, hypoxia, or other health issues that could impair their ability to work safely. Overall, this project aims to significantly improve the safety standards in coal mines.

References

[1] A. S. S. Babu, "Design and development of a smart helmet for coal miners," Proc. Int. Conf. on Emerging Trends in Electronics, Communication and Technology, 2020, pp. 224-229, doi: 10.1109/ETECT.2020.00047.

[2] S. M. P. Hussain, M. G. S. R. Srinivasa, and S. D. Iyer, "Real-time monitoring of miner health and safety using wearable technology," J. Hazard. Mater., vol. 369, pp. 567-574, Apr. 2019, doi: 10.1016/j.jhazmat.2019.01.016.

[3] S. P. Garg and S. S. Chawla, "Wireless health monitoring system for miners' safety," IEEE Trans. Ind. Appl., vol. 53, no. 1, pp. 450-457, Jan. 2017, doi: 10.1109/TIA.2016.2580605.

[4] D. N. M. Jayakumar, V. M. Subramanian, and S. V. R. P. Bhuvaneshwari, "IoT-based coal mine safety monitoring system," Int. J. Computer Applications, vol. 129, no. 1, pp. 12-17, Aug. 2015.

[5] C. H. Lee and K. J. Lee, "Development of a wearable gas sensor for mine safety," Sens. Actuators B Chem., vol. 204, pp. 161-169, Apr. 2015, doi: 10.1016/j.snb.2014.09.108.

[6] Y. Zhang, L. Wu, and X. Yang, "Design of an intelligent coal mine safety monitoring system based on wireless sensor network," IEEE Access, vol. 6,pp. 49426-49434, Aug. 2018, doi: 10.1109/ACCESS.2018.2859521.

[7] P. Sharma and N. M. Kapadia, "A review of wearable safety monitoring systems for miners," Proc. IEEE Int. Conf. on Computing, Communication and Automation, 2016, pp. 1-6, doi: 10.1109/ICCCA.2016.7911768.

[8] R. S. L. N. Reddy, K. V. N. Anjaneyulu, and P. V. A. Sai, "Design and implementation of coal mine safety system using IoT," Proc. Int. Conf. on Recent Trends in Engineering Technology and Management, 2017, pp. 334- 339.

[9] S. N. Khan and A. B. Al-Ghadhban, "Wireless monitoring system for coal mine safety," IEEE Trans. Ind. Electron., vol. 63, no. 12, pp. 7747-7755, Dec. 2016, doi: 10.1109/TIE.2016.2588250.

[10] D. A. Adams, "Wearable health monitoring for miners using IoT," IEEE Internet of Things Journal, vol. 5, no. 4, pp. 3456-3462, Aug. 2018, doi: 10.1109/JIOT.2017.2789834.

[11] V. P. Dinesh, K. M. S. Rajendran, and V. S. Ravi, "Design and implementation of smart helmet for coal miners," Proc. IEEE Conf. on Computational Intelligence and Computing Research, 2019, pp. 1-5, doi: 10.1109/CIC.2019.00031.

[12] J. K. Paul and A. K. Baranwal, "Development of real-time environmental monitoring system for coal mines," IEEE Trans. Automation Science and Engineering, vol. 16, no. 3, pp. 1325-1332, July 2019, doi: 10.1109/TASE.2018.2812265.

[13] R. K. Koul, "Real-time mining safety monitoring system using IoT sensors," IEEE Trans. Ind. Informatics, vol. 14, no. 5, pp. 2049-2056, May 2018, doi: 10.1109/TII.2017.2777892.

[14] T. A. Chan, A. J. S. Smith, and C. A. White, "Environmental and health monitoring system for coal miners based on wireless sensors," IEEE Trans. Wireless Commun., vol. 15, no. 3, pp. 1295-1302, Mar. 2016, doi: 10.1109/TWC.2016.2646282.

[15] L. Zhang, W. Li, and Z. Zhao, "A wireless communication system for mine safety monitoring," IEEE Trans. Safety and Reliability, vol. 67, no. 2,pp. 201-211, Apr. 2017, doi: 10.1109/TSR.2016.2782316.

[16] R. S. N. Babu, "Development of a wearable coal mine safety monitoring system," Proc. IEEE Conf. on Computational Intelligence in Engineering and Technology, 2020, pp. 340-344, doi: 10.1109/CIET.2020.0454.

[17] M. K. Pradeep and S. A. Vasanth, "IoT-based system for real-time coal mine monitoring and emergency alerts," Proc. IEEE Int. Conf. on Automation and Control Engineering, 2017, pp. 150-155, doi: 10.1109/ACE.2017.8461632.

[18] S. R. Hossain and M. A. Khan, "Design and implementation of IoT-based mine safety monitoring system," Proc. IEEE Global Communications Conference, 2018, pp. 2652-2657, doi: 10.1109/GLOCOM.2018.8647705.

[19] Karthikeyan, M.V., Bhuvaneshwar, S., Nishanth, V. (2025). Mental Stress Assessment in Working Environment for an Individual Using Wearable Sensor of EEG and Pulse Signal Measured with Help of Deep Learning Algorithm. Computer, Communication, and Signal Processing. Smart Solutions Towards SDG. ICCCSP 2024. IFIP Advances in Information and Communication Technology, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-031-73617-9_7.

[20] Maria Christina Blessy A , Dinesh Kumar M, Derance T. “Facial Expression Recognition of Autistic Children for Virtual Learning” Journal for Communication and Biomedical Engineering with Computer Applications,Vol.1.Issue.1.2024,pp.1-11. https://doi.org/10.63252/JCBECA/ 1.1.2024.1-11.

[21] Maria Christina Blessy A , Dayapule Meenakshi, Israa Fathima. I. “Condition Monitering of Thrust Bearings Based on Machine Learning with Synthetically Generated Data” Journal for Communication and Biomedical Engineering with Computer Applications, Vol.1.(1).2024, pp.12-22. https://doi.org/10.63252/JCBECA/ 1.1.2024.12-22.

Downloads

Published

2025-04-30