Coal Mine Monitoring Robot

Authors

  • Dr. Anbumalar  Professor, Department of Electrical and Electronics Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
  • Akshaya. S  UG Scholar, Department of Electrical and Electronics Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
  • Hemalatha.V  UG Scholar, Department of Electrical and Electronics Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
  • NivethithaaSri.P. R  UG Scholar, Department of Electrical and Electronics Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
  • Sanchuna. S  UG Scholar, Department of Electrical and Electronics Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.

Keywords:

Farming, Agriculture, IoT, Irrigation and Fertilized system.

Abstract

As one of the largest coal producers and, India is also one of the related accidents that frequently happened in countries like gas explosion, floods, fire outbreaks during coal mines exploitation. The Coal Mine Detection Robot can replace or partially replace emergency workers to enter the mine shaft disaster site and detect hazardous gas and perform some environmental reconnaissance and surveying tasks. Coal Mine Detection Robot uses gas sensor, temperature sensor, humidity sensor and PIR motion sensor to detect hazardous gas, temperature rise, humidity fall and PIR for light sight. The advantages of this type of hazardous gas detection are: simultaneous and fast detection of methane, CO and high sensitivity, good selectivity, fast response and use of fire extinguisher to extinguish the unexpected fire. Otherwise, due to its simple and light structure, it is easy to be taken by robots, has a larger detection range, and the probe is not easy to poison and age.

References

  1. RaQ. Liu, X. Li, and X. Meng, "Effectiveness research on the multiplayer evolutionary game of coal-mine safety regulation in China based on system dynamics," Saf. Sci., vol. 111, pp. 224_233, Jan. 2019, doi: 10.1016/j.ssci.2018.07.014.
  2. Q. Liu, X. Meng, M. Hassall, and X. Li, "Accident-causing mechanism in coal mines based on hazards and polarized management," Saf. Sci., vol. 85, pp. 276_281, Jun. 2016, doi: 10.1016/j.ssci.2016.01.012.
  3. S. Han, H. Chen, R. Long, H. Qi, and X. Cui, "Evaluation of the derivative environment in coal mine safety production systems: Case study in China," J. Cleaner Prod., vol. 143, pp. 377_387, Feb. 2017, doi: 10.1016/j.jclepro.2016.12.096.
  4. Y. Shi, J. Chen, J. Hao, J. Bi, M. Qi, and X. Wang, "Statistical analysis of coal mine accidents of China in 2018," in Proc. IEEE Prognos- tics Syst. Health Manage. Conf. (PHM), Oct. 2019, doi: 10.1109/PHMQingdao46334.2019.894299
  5. Zhao, J. Gao, F. Zhao, and Y. Liu, "A search-and-rescue robot system for remotely sensing the underground coal mine environment," Sensors, vol. 17, no. 10, p. 2426, Oct. 2017, doi: 10.3390/s17102426.
  6. J. Zhang, J. Fu, H. Hao, G. Fu, F. Nie, and W. Zhang, "Root causes of coal mine accidents: Characteristics of safety culture de_ciencies based on accident statistics," Process Saf. Environ. Protection, vol. 136, pp. 78_91 Apr. 2020, doi: 10.1016/j.psep.2020.01.024.
  7. A. H. Reddy, B. Kalyan, and C. S. N. Murthy, "Mine rescue robot system_ A review," Procedia Earth Planet. Sci., vol. 11, pp. 457_462, Jan. 2015, doi: 10.1016/j.proeps.2015.06.045.
  8. W. Shang, X. Cao, H. Ma, H. Zang, and P. Wei, "Kinect-based vision system of mine rescue robot for low illuminous environment," J. Sensors, vol. 2016, pp. 1_9, Oct. 2016, doi: 10.1155/2016/8252015.
  9. Y. Wang, P. Tian, Y. Zhou, and Q. Chen, "The encountered problems and solutions in the development of coal mine rescue robot," J. Robot., vol. 2018, pp. 1_11, Oct. 2018, doi: 10.1155/2018/8471503.
  10. Y. Wang, Y. W. Li, P. Tian, and Y. Zhou, "Analysis and prospect on development course of colliery rescue robots," Mining Process. Equip., vol. 46, no. 05, pp. 1_10, 2018, doi: 10.16816/j.cnki.ksjx.2018.05.001.
  11. K. Hashimoto, "A review on vision-based control of robot manipulators," Adv. Robot., Int. J. Robot. Soc. Jpn., vol. 17, no. 10, pp. 969_991, 2003.
  12. L. Perez, I. Rodriguez, N. Rodriguez, R. Usamentiaga, and D. F. Garcia, "Robot guidance using machine vision techniques in industrial environments: A comparative review," Sensors, vol. 16, no. 3, p. 26, Mar. 2016, doi: 10.3390/s16030335.
  13. D. Marr and T. Poggio, "Cooperative computation of stereo disparity," Science, vol. 194, no. 4262, pp. 283_287, Oct. 1976, doi: 10.1126/science. 968482.
  14. W. E. Grimson, "A computer implementation of a theory of human stereo vision," Phil. Trans. Roy. Soc. London. Ser. B, Biol. Sci., vol. 292, no. 1058, pp. 217_253, May 1981, doi: 10.1098/rstb.1981.0031.
  15. J. Hofmann, J. Korinth, and A. Koch, "A scalable high-performance hardware architecture for real-time stereo vision by semi-global matching," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshops (CVPRW), Jun. 2016, pp. 845_853, doi: 10.1109/CVPRW.2016.110.
  16. S. Yang, Y. Gao, Z. Liu, and G. Zhang, "A calibration method for binocular stereo vision sensor with short-baseline based on 3D _exible control _eld," Opt. Lasers Eng., vol. 124, Jan. 2020, Art. no. 105817, doi: 10.1016/j.optlaseng.2019.105817. [18] S. Zhang, B. Li, F. Ren, and R. Dong, "High-precision measurement of binocular telecentric vision system with novel calibration and matching methods," IEEE Access, vol. 7, pp. 54682_54692, 2019, doi: 10.1109/access.2019.2913181.
  17. H. S. Yin, "SLAM-based self-calibration of a binocular stereo vision rig in real-time," Sensors, vol. 20, no. 3, p. 21, Feb. 2020, doi: 10.3390/s20030621.
  18. S. Song and W. Zhang, "LTF robot: Binocular robot with laser-point tracking and focusing function," in Proc. Int. Conf. Intell. Robot. Appl., vol. 11740, 2019, pp. 39_48, doi: 10.1007/978-3-030-27526-6_4.
  19. M. Samadi, M. F. Othman, and S. H. M. Amin, Stereo vision based robots: Fast and robust obstacle detection

International Journal of Scientific Research in Science, Engineering and Technology

Downloads

Published

2023-04-30

Issue

Volume 10, Issue 2, March-April-2023

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. Anbumalar, Akshaya. S, Hemalatha.V, NivethithaaSri.P. R, Sanchuna. S "Coal Mine Monitoring Robot" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 2, pp.346-352, March-April-2023.