Issue

Vol 26 No Supplementary Issue

Copyright (c) 2014 N. Jeyakkannan1, B. Nagaraj2

Creative Commons License

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

Online Monitoring of Geological Methane Storage and Leakage Based on Wireless Sensor Networks

https://doi.org/10.14233/ajchem.2014.19005
N. Jeyakkannan1
1Department of Electronics and Communication Engineering, Karpagam University, Coimbatore-641 021, India 2Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore-641 032, India *Corresponding author: E-mail: jeyakkannan2010@gmail.com
B. Nagaraj2
1Department of Electronics and Communication Engineering, Karpagam University, Coimbatore-641 021, India 2Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore-641 032, India *Corresponding author: E-mail: jeyakkannan2010@gmail.com

Corresponding Author(s) : N. Jeyakkannan1

Asian Journal of Chemistry, Vol 26 No Supplementary Issue

Abstract

Geological methane monitoring is an important aspect of mining and other petrochemical industries. In hazardous environments local cabling and wiring for the sensors requires frequent maintenance and preventive installations. Proposed work is developed to monitor the concentration of methane using wireless sensor networks linked to Raspberry Pi. A series of methane sensors were developed for monitoring and transmitting the methane concentration. The collected data was transmitted to the base station connected to receiver GPRS connected to Raspberry Pi. Raspberry Pi connected via USB cable to the base computer was used for the data acquisition from various sensors installed on the site. The results obtained from the wireless sensors were compared to that of the acquired signals from the wireless sensor networks. The results obtained were accurate and leakage of methane gas was detected and acquired online using the Raspberry Pi.

Keywords

Methane Raspberry Pi and wireless sensor networks.
Jeyakkannan1, N., & Nagaraj2, B. (2014). Online Monitoring of Geological Methane Storage and Leakage Based on Wireless Sensor Networks. Asian Journal of Chemistry, 26(27), 23–26. https://doi.org/10.14233/ajchem.2014.19005
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX
References
  1. M. Argany, M.A. Mostafavi, F. Karimipour and C. Gagme, Trans. Comp. Sci. XIV, 6970, 151 (2011).
  2. Methane Sensing for Coal Mining Applications, An Application note by Edinburgh Sensors, A Division of Edinburgh Instruments, Appl. Note No: AN6/2012/08, pp. 1-2.
  3. X. Zhang, Automatic Calibration of Methane Monitoring Based on Wire-less Sensor Network Wireless Communications, Networking and Mobile Computing, WiCOM '08, 4th International Conference, pp. 1-4 (2008).
  4. S. Solomon, Carbon Dioxide Storage: Geological Security and Environ-mental Issues-A case Study on the Sleipner Gas Field in Norway, Bellona, Tech. Rep. 1-2007, pp. 4-5 (2007).
  5. Y. Chen, Research and Design of Methane Gas Inspection Tour System Based on Low-Power SCM MSP430F149, Second International Symposium on Intelligent Information Technology Application, IITA '08, Vol. 2, pp. 503-507 (2008).
  6. T. Fukasawa, T. Oketani and M. Masson, Groneman J. Optimized METS Sensor for Methane Leakage Monitoring, OCEANS 2008-MTS/IEEE Kobe Techno-Ocean, pp. 1-8 (2008).
  7. Y. Zhao, Y. Wei, Y. Li and T. Zhang, Multi-Channel Optical Fiber Methane Monitoring System Based on Laser Absorption Spectroscopy, Power and Energy Engineering Conference (APPEEC), Asia-Pacific, pp. 1-4 (2012).
  8. X. Zhang, Sunan, Design a Wireless Sensor Network for Methane Monitoring system, 6th IEEE International Conference on Industrial Informatics, INDIN 2008, pp. 614-618 (2008).
  9. J.K. Hart and K. Martinez, Earth Sci. Rev., 78, 177 (2006).
  10. F. Tsow, E. Forzani, A. Rai, R. Wang, R. Tsui, S. Mastroianni, C. Knobbe, A.J. Gandolfi and N.J. Tao, IEEE Sens. J., 9, 1734 (2009).
  11. W.-Y. Chung, B.G. Lee and C.S. Yang, Sens. Actuators B, 140, 35 (2009).
  12. S. Jain, A. Vaibhav and L. Goyal, Raspberry Pi based Interactive Home Automation System Through E-mail, IEEE Conference Publications, pp. 277-280 (2014).
  13. A.R. Al-Ali, I. Zualkernan and F. Aloul, IEEE Sens. J., 10, 1666 (2010).
  14. Y.J. Jung, Y.K. Lee, D.G. Lee, K.H. Ryu and S. Nittel, Air Pollution Monitoring System Based on Geosensor Network, In: Proc. IEEE Int. Geosci, Remote Sensing Symp., Vol. 3, pp. 1370-1373 (2008).
  15. Y.J. Jung and S. Nittel, Geosensor Data Abstraction for Environmental Monitoring Application, New York: Springer-Verlag, Vol. 5266, pp. 168-180 (2008).
  16. A.C.D. Bonganay, J.C. Magno, A.G. Marcellana, J.M.E. Morante and N.G. Perez, Automated Electric Meter Reading and Monitoring System using ZigBee-integrated Raspberry Pi Single Board Computer via Modbus, IEEE Conference Publications (2014).
  17. N. Kularatna and B.H. Sudantha, IEEE Sens. J., 8, 415 (2008).
  18. M. Gao, F. Zhang and J. Tian, Environmental Monitoring System with Wireless Mesh Network Based on Embedded System, In Proc. 5th IEEE Int. Symp. Embedded Comput., pp. 174-179 (2008).
Read More
Author biographies is not available.
Download
Statistic
Read Counter : 0