Sensing Harmful Gases in Industries Using IOT and WSN

Authors

  • Snehal S. Golait  Assistant Professor, Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra India
  • Rishikesh Kumar  Department of Computer Technology, Priyadarshini College of Engineering, Nagpur,Maharashtra India
  • Twinkle Pandey  Department of Computer Technology, Priyadarshini College of Engineering, Nagpur,Maharashtra India
  • Samiksha Yerpude  Department of Computer Technology, Priyadarshini College of Engineering, Nagpur,Maharashtra India
  • Komal Pandey  Department of Computer Technology, Priyadarshini College of Engineering, Nagpur,Maharashtra India
  • Ajinkya Ghadole  Department of Computer Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra India

DOI:

https://doi.org//10.32628/CSEIT206125

Keywords:

Real-Time Programming Languages, Real-Time Specification for Java, Model-Driven Engineering

Abstract

The degree of pollution has expanded with times by parcel of variables like the expansion in populace, expanded vehicle use, industrialization and urbanization, which brings about hurtful impacts on human prosperity by legitimately affecting soundness of populace presented to it. Poor environmental conditions can prompt serious medical issues. Destructive gases in hazardous environment influence these days individuals. The significant of this paper is watching unsafe environmental conditions for wellbeing applications. Right now itemized a study on toxic environment monitoring dependent on various innovations utilizing sensors.

References

  1. F. Tsow, E. Forzani, R. W. R. Wang, R. Tsui, S. Mastroianni, C. Knobbe, A. Gandolfi, and N. Tao, “A wearable and wireless sensor system for real-time monitoring of toxic environmental volatile organic compounds,” IEEE Sensors Journal, vol. 9, no. 12, pp. 1734–1740, 2013.
  2. Mohannad Ibrahim, Abdelghafor Elgamri, Sharief Babiker, Ahmed Mohamed, “IOT based smart environmental monitoring using the Raspberry-Pi computer,” IEEE, 2015.
  3. Martin Doubek, Vaclav Vacek, Gregory Hallewell, Ben Pearson, “Speed-of-sound based sensors for environment monitoring,” IEEE Sensors, 2016.
  4. Mithun Mukherjee, Lei Shu, Likun Hu, Gerhard P. Hancke, and Chunsheng Zhu, “Sleep scheduling in industrial wireless sensor networks for toxic gas monitoring,” IEEE Wireless Communications, 2016.
  5. Zlatica Marinkovic, Aleksandar Atanaskovic, Maria Gabriella Xibilia, Calogero Pace, Mariangela Latino, “A neural network approach for safety monitoring applications,” IEEE Instrument and Measurement, 2016.
  6. Rohini Shete, Sushma Agrawal, “IOT based urban climate monitoring using Raspberry Pi,” International Conference on Communication and Signal Processing, April 6-8, 2016, India.
  7. A. Velasco, R. Ferrero, F. Gandino, B. Montrucchio, and M. Rebaudengo, “A mobile and low-cost system for environmental monitoring: A Case Study,” Sensors, vol. 16, no. 5, p. 710, 2016.
  8. E. Wilhelm, S. Siby, Y. Zhou, X. J. S. Ashok, M. Jayasuriya, S. Foong, J. Kee, K. L. Wood, and N. O. Tippenhauer, “Wearable environmental sensors and infrastructure for mobile large-scale urban deployment,” IEEE Sensors Journal, vol. 16, no. 22, pp. 8111–8123, 2016.
  9. M. Serbanescu, V. M. Placinta, O. E. Hutanu, and C. Ravariu, “Smart, low power, wearable multi-sensor data acquisition system for environmental monitoring,” 2017 10th International Symposium on Advanced Topics in Electrical Engineering, ATEE 2017, pp. 118–123, 2017.
  10. D. Antolín, N. Medrano, B. Calvo, and F. Pérez, “A wearable wireless sensor network for indoor smart environment monitoring in safety applications,” Sensors, vol. 17, no. 2, p. 365, 2017.
  11. Somansh Kumar, Ashish Jasuja, “Air quality monitoring system based on IOT using Raspberry pi,” International Conference on computing, Communication and Automation, 2017.
  12. Nikolas Vidakis, Michail Angelos, Lasithiotakis, Emmanuel Karapidakis, “Environmental monitoring through embedded system and sensors,” International Universities Power Engineering Conference (UPEC), 2017.
  13. Shirui Zhang, Jiannan Chen, Leizi Jiao, “Design and development of online system for monitoring harmful gas in animal house,” International Conference on Frontiers of Sensors Technologies, 2017.
  14. K. Alice Mary, Perreddy Monica, A. Apsurrunisa, Chatala Sreekanth, G.Pavan, “IOT based garbage monitoring system,” International Journal of Scientific & Engineering Research, Volume 8, Issue 4, April-2017.
  15. Dami Kam, Seijn Kim, Jeongho An, Sanghyo Kim, “A portable colorimetric array reader for toxic gas detection,” IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), 2017.
  16. V.S.Velladurai, M.Saravanan, R.Vigneshbabu, P.Kathikeyan, A.Dhlipkumar, “Human safety system in drainage, unused well and garbage alerting system for smart city,” International Conference on I-SMAC, 2017.
  17. Mohd Anas, Syed Mohd Haider, Prateek Sharma, “Gas monitoring and testing in underground mines using wireless technology,” International Journal of Engineering Research and Technology (IJERT), Vol.6 Issue 01, January-2017.
  18. M.F.M.Firdhous, B.H.Sudantha, P.M Karunaratne, “IOT enabled proactive indoor air quality monitoring system for sustainable health management,” International Conference on Computing and Communications Technologies, 2017.
  19. Heigrujam Manas Singh, L.S Singh, “FPGA based real-time underground mine environment monitoring and warning system,” IEEE International Conference On Recent Trends in Electronics Information & Communication Technology (RTEICT), May 19-20, 2017, India.
  20. Mithun Mukherjee, Lei Shu, Likun Hu, Gerhard P. Hancke, and Chunsheng Zhu, “Sleep scheduling in industrial wireless sensor networks for toxic gas monitoring,” IEEE Wireless Communication, 2017.
  21. Minming Gu ,ZhenPing Xia, Yan Lei ,Lin zhang, Jieming Ma, “Wireless low power toxic gas detector based on ADuCM360,” Intrenational SoC Design Conference (ISOCC), 2017.
  22. Rahman Wagiran and Mohd Nizar Hamidon Hamid Farahani, "Humidity sensors principle, mechanism, and fabrication technologies, A comprehensive review," Sensors, 2014.
  23. Mohannad M. Ibrahim, Abdelghafour Elgamri and Ahmed Mohamed, Environmental monitoring using the raspberrypi (En-Pi-ronment), Appendix A, 2014.
  24. Analog Devices, “Ultralow Power Boost Regulator with MPPT and Charge Management Datasheet],” 2015.
  25. S. Wen, H. Heidari, A. Vilouras, and R. Dahiya, “A wearable fabric-based RFID skin temperature monitoring patch,” in 2016 IEEE SENSORS, no. September. IEEE, oct 2016.
  26. Y. He, X. Cheng, W. Peng, and G. L. Stuber, “A survey of energy harvesting communications: models and offline optimal policies,” IEEE Communications Magazine, vol. 53, no. 6, pp. 79–85, jun 2015.
  27. F. Wu, C. Rüdiger, and M. R. Yuce, “Real-time performance of a selfpowered environmental iot sensor network system,” Sensors, vol. 17, no. 2, p. 282, 2017.
  28. F. Wu, C. Rüdiger, J.-M. Redouté, and M. R. Yuce, “A Wearable Multi- Sensor IoT Network System for Environmental Monitoring,” in In Proceding of BodyNets. Dalian: EAI, 2017.
  29. Bosch Sensortec, “BME680 Low power gas , pressure , temperature & humidity sensor Datasheet],” pp. 1–50, 2017.
  30. L.-M. Ang, K. P. Seng, A. Zungeru, and G. Ijemaru, “Big sensor data systems for smart cities,” IEEE Internet of Things Journal, Apr. 2017.
  31. Andriy Holovatyy, Vasyl Teslyuk, Mykhaylo Lobur, Sofia Pobereyko, Yaroslav Sokolovsky, “Development of Arduino based embedded system for detection of toxic gases in air,” International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), 2018.
  32. Grzegorz Jasinski, Lukasz Wozniak, Pawel Kalinowski, Piotr Jasinski, “Evaluation of the electronic nose used for monitoring environmental pollution,” International Scientic Conference on Optoelectronic and Electronic Sensors (COE), 2018.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-02-12

Issue

Volume 6, Issue 1, January-February-2020

Section

Research Articles

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How to Cite

[1]
Snehal S. Golait, Rishikesh Kumar, Twinkle Pandey, Samiksha Yerpude, Komal Pandey, Ajinkya Ghadole, " Sensing Harmful Gases in Industries Using IOT and WSN, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 1, pp.113-119, January-February-2020. Available at doi : https://doi.org/10.32628/CSEIT206125