Sujata Patil,
Aditya Jadhav,
Tejas Jadhav,
Saurabh Hodlurkar,
- Professor, Smt. Kashibai Navale College of Engineering, SPPU, Pune, Maharashtra, India
- Student, Smt. Kashibai Navale College of Engineering, SPPU, Pune, Maharashtra, India
- Student, Smt. Kashibai Navale College of Engineering, SPPU, Pune, Maharashtra, India
- Student, Smt. Kashibai Navale College of Engineering, SPPU, Pune, Maharashtra, India
Abstract
In an era where rapid industrialization and urbanization continue to shape our environment, ensuring the safety and well-being of individuals in enclosed spaces is of paramount importance. One of the key challenges in this endeavor is the detection of toxic gases and volatile organic compounds (VOCs) that can pose severe health risks if left undetected. So, the primary motive of this model is to design and implement a sensor array system comprising five specialized sensors which can detect a wide range of toxic gases. Employing Raspberry Pi and Arduino platforms for simultaneous data acquisition, the project sought to improve accuracy and real-time monitoring. The system’s versatility extended to the detection of volatile organic compounds, with applications spanning industrial, residential, and laboratory settings. Calibration procedures were rigorously undertaken to enhance measurement reliability. The key results of this endeavor encompassed the successful development and calibration of the sensor array, culminating in a comprehensive solution for toxic gas detection in enclosed spaces. Ultimately, this project contributes significantly to safety and environmental well-being.
Keywords: Raspberry Pi, Real Time, Safety, Toxic Gases, VOCs.
[This article belongs to Journal of Aerospace Engineering & Technology(joaet)]
References
- Holovatyy, V. Teslyuk, M. Lobur, S. Pobereyko and Y. Sokolovsky, “Development of Arduino-Based Embedded System for Detection of Toxic Gases in Air,” 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, 2018, pp. 139-142, doi: 10.1109/STC-CSIT.2018.8526672.
- Jualayba, K. Regio, H. Quiozon And A. Destreza, “Hazardous Gas Detection and Notification System,” 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM), Baguio City, Philippines, 2018, pp. 1-4, doi: 10.1109/HNICEM.2018.8666358.
- A. García-Rodriguez et al., “Detection of volatile organic compounds using a commercial gas sensor embedded in a mobile robot,” 2020 IEEE International Conference on Engineering Veracruz (ICEV), Boca del Rio, Mexico, 2020, pp. 1-4, doi: 10.1109/ICEV50249.2020.9289677.
- “Very volatile organic compounds: an understudied class of indoor air pollutants” by T. Salthammer
- D. Wilson and M. Baietto, “A review of gas sensors employed in electronic nose applications,” Sensor Review, vol. 29, no. 3, pp. 182-193, 2009, doi: 10.1108/02602280910959312.
- Kumar and A. N. Skouloudis, “An Overview of VOC Sensor Technology and Its Applications for Indoor Air Quality Investigations,” Sensors, vol. 20, no. 5, article no. 1261, 2020, doi: 10.3390/s20051261.
- H. Gómez, V. P. Ting, and A. S. Mujumdar, “Miniaturized gas sensors for volatile organic compounds (VOCs) detection in food packaging,” Food Control, vol. 70, pp. 348-359, 2016, doi: 10.1016/j.foodcont.2016.05.050.
- Lee, J. Kim, and M. Cho, “Design of a mobile electronic nose using smartphone,” IEEE Sensors Journal, vol. 17, no. 6, pp. 1665-1670, 2017, doi: 10.1109/JSEN.2017.2652599.
- G. Yodh, M. S. Feld, and E. Ben-Dor, “Medical hyperspectral imaging: a review,” Journal of Biomedical Optics, vol. 21, no. 9, article no. 091306, 2016, doi: 10.1117/1.JBO.21.9.091306.
- Kim, J. C. Shin, and H. Choi, “Flexible and stretchable gas sensors for wearable health monitoring,” IEEE Sensors Journal, vol. 18, no. 21, pp. 8937-8947, 2018, doi: 10.1109/JSEN.2018.2866144.
- DatasheetZMOD4510AI1R Datasheet of MS-1100 Datasheet of SCD40-D-R1 Datasheet of MQ136 Datasheet of ZE07-CO
Journal of Aerospace Engineering & Technology
| Volume | 14 |
| Issue | 02 |
| Received | July 19, 2024 |
| Accepted | July 31, 2024 |
| Published | August 16, 2024 |