Algorithm to read various sensors to detect the hazardous parameters in industry

  • Authors

    • Rajesh Singh
    • Rohit Samkaria
    • Anita Gehlot
    • Neeraj kumar Singh
    • Kaushal Rawat
    • Aisik De
    • Adil Rahiman
    2018-03-11
    https://doi.org/10.14419/ijet.v7i2.6.10060
  • WSN, Arduino, Hazard Monitoring, Zigbee.

  • In the construction and coal mine industry various accident statistics indicates the fatalitiesand serious injuries due to the hazardous con-fined areas. The most cases occurs due to the lack of the oxygen, poisonous gasesand temperature extremes shown in the review of inter-national safety regulation review which has the major contribution to make these area hazardous. In order to reduce these health and safety hazards the works proposed is based on the wireless sensor area network technology to monitor various parameters which may lead to haz-ardous condition so that the early warning of hazards can give and casualties which occurs unknown parameters may reduce. The developed model having the database design with management to monitoring system with the help of desktop application. The hazardous indication warning is transmitted to base station by different wireless node and received at base station.

  • References

    1. [1] Riaz, Zainab, et al. "CoSMoS: A BIM and wireless sensor based integrated solution for worker safety in confined spaces." Automation in construction 45 (2014): 96-106.https://doi.org/10.1016/j.autcon.2014.05.010.

      [2] Şalap, Seda, MahmutOnurKarslıoğlu, and NurayDemirel. "Development of a GIS-based monitoring and management system for underground coal mining safety." International Journal of Coal Geology 80.2 (2009): 105-112.https://doi.org/10.1016/j.coal.2009.08.008.

      [3] Bonfiglio, Annalisa, et al. "Emergency and work." Wearable Monitoring Systems. Springer US, 2011. 205-219.https://doi.org/10.1007/978-1-4419-7384-9_10.

      [4] Zhong, Maohua, et al. "China: some key technologies and the future developments of fire safety science." Safety Science 42.7 (2004): 627-637.https://doi.org/10.1016/j.ssci.2003.10.003.

      [5] Schraft, Rolf Dieter, et al. "PowerMate–A safe and intuitive robot assistant for handling and assembly tasks." Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on. IEEE, 2005.

      [6] Kremens, Robert, et al. "Autonomous field-deployable wildland fire sensors." International Journal of Wildland Fire 12.2 (2003): 237-244.https://doi.org/10.1071/WF02055.

      [7] Han, SangUk, and SangHyun Lee. "A vision-based motion capture and recognition framework for behavior-based safety management." Automation in Construction 35 (2013): 131-141.https://doi.org/10.1016/j.autcon.2013.05.001.

      [8] Esterhuizen, R. G. "Coal mine safety achievements in the USA and the contribution of NIOSH research." Journal of the Southern African Institute of Mining and Metallurgy 106.12 (2006): 813-820.

      [9] Bhattacharjee, Suchismita, Somik Ghosh, and Deborah Young-Corbett. "Safety improvement approaches in construction industry: A review and future directions." Proceeding of 47th ASC Annual International Conference. 2011.

      [10] Ferdinand, Pierre, Sylvain Magne, and Guillaume Laffont. "Optical fiber sensors to improve the safety of nuclear power plants." Asia Pacific Optical Sensors Conference 2013. International Society for Optics and Photonics, 2013.

      [11] Cowlard, Adam, et al. "Sensor assisted fire fighting." Fire Technology 46.3 (2010): 719-741.https://doi.org/10.1007/s10694-008-0069-1.

      [12] Gupta, Tanisha, et al. "Design and Development of Low-Cost Wireless Parameter Monitoring System for Nuclear Power Plant." Proceeding of International Conference on Intelligent Communication, Control and Devices. Springer Singapore, 2017.

      [13] Agarwal, Aditya, et al. "A Design and Application of Forest Fire Detection and Surveillance System Based on GSM and RF Modules." Proceeding of International Conference on Intelligent Communication, Control and Devices. Springer Singapore, 2017.

      [14] Meera, C.S. Sairam, P.S., S. Sunny, and R. Singh. "Implementation of an incampus fire alarm system using ZigBee." Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on. IEEE, 2015.

      [15] Sharma, Rajesh Singh1 Madhu. "Wireless Personal Area Network based Semiautonomous robot using 802.15. 4 b LAN standard protocol (ZIGBEE) with MATLAB GUI for coal mine Uses."

      [16] Bahrepour, Majid, Nirvana Meratnia, and Paul JM Havinga. Automatic fire detection: A survey from wireless sensor network perspective. No. TR-CTIT-08-73. University of Twente, Centre for Telematics and Information Technology, 2008.

      [17] Koo, Sung-Han, Jeremy Fraser-Mitchell, and Stephen Welch. "Sensor-steered fire simulation." Fire Safety Journal 45.3 (2010): 193-205.https://doi.org/10.1016/j.firesaf.2010.02.003.

      [18] Jahn, W., G. Rein, and J. L. Torero. "Forecasting fire growth using an inverse zone modelling approach." Fire Safety Journal 46.3 (2011): 81-88.https://doi.org/10.1016/j.firesaf.2010.10.001.

      [19] Rüppel, Uwe, and Kristian Schatz. "Designing a BIM-based serious game for fire safety evacuation simulations." Advanced Engineering Informatics 25.4 (2011): 600-611.https://doi.org/10.1016/j.aei.2011.08.001.

      [20] HUANG, Xiang-ying, and Ren-cheng ZHANG. "Use of CO Sensors in Fire Detection [J]." Instrument Technique and Sensor 6 (2006): 001.

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  • How to Cite

    Singh, R., Samkaria, R., Gehlot, A., kumar Singh, N., Rawat, K., De, A., & Rahiman, A. (2018). Algorithm to read various sensors to detect the hazardous parameters in industry. International Journal of Engineering & Technology, 7(2.6), 19-23. https://doi.org/10.14419/ijet.v7i2.6.10060