GAS Analyzer and Alerting BOT

Authors

  • Dr. Arun  Computer Science Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, India
  • Reetha Dhevi S  Computer Science Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, Tamil Nadu, India

Keywords:

ARM-based embedded, Raspberry Pi, IOT server GPS coordinates

Abstract

The proposed system is to determine trends in environmental parameters. During this system, we have a tends to plan an autonomous robotic system that's designed and enforced to observe environmental parameters like temperature, air quality, and harmful gas concentration. The automation has GPS coordinates, and it will store knowledge on the Thing speak of IOT platform. The mobile automation is controlled by a smart phone that runs an app engineered on the net application. the complete system is accomplished employing a cost-efficient ARM-based embedded system known as Raspberry Pi that communicates through a wireless network to the IOT platform, wherever the knowledge are hold on, processed and might be accessed by a laptop or any good device from anyplace. The system will update device knowledge to IOT server for each fifteen seconds. The hold on knowledge may be used for more analysis of the reduction of pollution, save energy and supply AN overall living surroundings sweetening. The robotic system has designed for price effective remote observation environmental parameters without human interaction to avoid health risk expeditiously. A proof-of-concept model has been developed as an example the effectiveness of the planned system.

References

  1. Kevin Harris , Randy Hauer , Dan Potter “Combustibles measurement in sulfur recovery unit acid gas with a combined nduv/ndir analyzer” Analysis Division Symposium at ISA AD 2008; http://www.isa.org
  2. Matese. A, Gioli, B., Vaccari F. P., Zaldei A., and Miglietta, F. (2009) Carbon Dioxide Emissions of the City Center of Firenze, Italy: Measurement, Evaluation, and Source Partitioning. Journal of Applied Meteorology and Climatology (48), 1940-1948.
  3. Ocheltree, T. and Loescher H “General procedures for CO2 and H2O calibration of Infrared Gas Analyzers (IRGA) and Secondary Gas Standards “ (2010) OnlineAvailable at:
  4. Joseph E. Chilton, Charles D. Taylor, and Robert J. Timko “EVALUATION OF IYONI II METHANOMETERS” National Institute for Occupational Safety and Health/Pittsburgh Research Lab Pittsburgh, PA USA
  5. Fillmer W. Ruegg and Carl Halpern “Gravimetric Analysis of Exhaust Gas From Gas Turbine Combustion Chambers” Journal of Research of the National Bureau of Standards Volume 45,No.2, August 1950
  6. H.Yang, Y.Qin, G.Feng, and H.Ci, “Online Monitoring of Geological CO2 Storage and Leakage Based on Wireless Sensor Networks.”, IEEE BEE Sensors Journal, 2013.
  7. G.A.A. Kumar, K.Rajasekhar, B.V.V.Satyanarayana, and Engineering Research & Technology, 2012.
  8. V.Boonsawat, J.Ekchamanonta, K.Bumrungkhet and S.Kittipiyakul,“XBee Wireless Sensor Networks for Temperature Monitoring”, School of Information, Computer, and Communication Technology, 2010.
  9. A.Shrivastava, R.Prabhaker, R.Kumar and R.Verma, “GSM Based Gas Leakage Detecton System”,International Journal of Emerging Trends in Electrical and Electronics (IJETEE-ISSN: 2320-9569), Vol.3, Issue. 2, May, 2013.
  10. Technical Data for MQ-9 gas sensor, HANWEI ELECTRONICS.CO.,LTD, Retrieved from: http://www.particle-sensor.com/immagini/MQ-9.pdf

Downloads

Published

2021-04-30

Issue

Section

Research Articles

How to Cite

[1]
Dr. Arun, Reetha Dhevi S, " GAS Analyzer and Alerting BOT" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 2, pp.549-553, March-April-2021.