Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62032
Volume:
10 |
4 |
April 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Computer Science and Engineering
Nehru College of Engineering and Research Centre, India
Department of Computer Science and Engineering
Nehru College of Engineering and Research Centre, India
Department of Computer Science and Engineering
Nehru College of Engineering and Research Centre, India
Department of Computer Science and Engineering
Nehru College of Engineering and Research Centre, India
Department of Computer Science and Engineering
Nehru College of Engineering and Research Centre, India
AirGuard: Smart IoT-Based Environmental & Confined Space Air Safety System is a smart monitoring solution developed to ensure safe air conditions in indoor environments and confined spaces such as storage rooms, tanks, laboratories, and industrial areas. In such places, improper levels of oxygen (O₂) and carbon dioxide (CO₂) can lead to breathing difficulties, health hazards, and life-threatening situations. This project focuses specifically on monitoring CO₂ and O₂ levels in real time to maintain a safe and breathable atmosphere. The AirGuard system uses IoT-based sensors to continuously measure the concentration of carbon dioxide and oxygen in the air. These sensors are connected to a microcontroller that processes the data and transmits it to a display or mobile device through wireless communication. When oxygen levels drop below safe limits or carbon dioxide levels rise beyond acceptable levels, the system immediately provides alerts through buzzers, indicators, and digital notifications, allowing quick action to prevent accidents. The main aim of this project is to provide a reliable, low-cost, and real-time air safety system for workplaces and confined spaces where proper ventilation is critical. By using Internet of Things (IoT) technology, AirGuard improves safety awareness, reduces risks related to poor air quality, and helps protect human health by ensuring a balanced level of oxygen and carbon dioxide in the environment.
KEYWORDS
The proposed Smart IoT-Based CO₂ and O₂ Monitoring System presents an effective and reliable solution for monitoring air quality in confined and hazardous environments such as tunnels, wells, and industrial spaces. By integrating the MQ-135 CO₂ sensor and AO-03 oxygen sensor with the ESP-8266 microcontroller, the system ensures continuous and real-time detection of carbon dioxide concentration and oxygen levels. The wireless communication capability allows seamless data transmission to a mobile application for remote monitoring. The implementation of threshold-based analysis enables the system to identify unsafe environmental conditions instantly. When CO₂ levels exceed permissible limits or oxygen concentration drops below safe levels, the controller automatically activates a buzzer and sends real-time notifications to the mobile application. This immediate alert mechanism enhances safety and helps prevent potential health risks in enclosed environments. The mobile application further improves system usability by providing live data visualization and manual control over the buzzer. Users can remotely monitor environmental parameters and take timely action when required. Overall, the system is cost-effective, easy to deploy, and scalable, making it suitable for both small-scale and industrial applications. In future developments, the system can be enhanced by integrating additional sensors such as temperature and humidity sensors to provide a more comprehensive environmental analysis. Cloud-based storage can be implemented to maintain historical data records and perform trend analysis for better decision-making. Further improvements may include adding GSM-based alert systems to ensure notifications even without internet connectivity and incorporating AI-based predictive analytics to forecast hazardous conditions before they reach critical levels. These enhancements can improve the system’s intelligence, scalability, and practical applicability in real- world industrial safety management.
[1] Atzori, L., Iera, A., & Morabito, G. “The Internet of Things: A Survey,” Comput. Netw., vol. 54, no. 15, pp. 2787–2805, October 2010. [7] [2] Bandyopadhyay, D., & Sen, J. “Internet of Things: Applications and Challenges in Technology and Standardization,” Wirel. Pers. Commun., vol. 58, no. 1, pp. 49–69, May 2011. [6] [3] Devarakonda, S., Sevusu, P., Liu, H. H., Liu, R., Iftode, L., & Nath, B. “Real-Time Air Quality Monitoring Through Mobile Sensing In Metropolitan Areas,” ACM Urbcomp, August 2013. [12] [4] Gluhak, A., Krco, S., Nati, M., Pfisterer, D., Mitton, N., & Razafindralambo, T. “A Survey on Facilities for Experimental Internet of Things Research,” IEEE Communications Magazine, vol. 49, no. 11, pp. 58–67, November 2011. [9] [5] Joshi, M. “Research Paper on IoT based Air and Sound Pollution monitoring system,” IETS Journal, pp. 11–17, September 2015. [4] [6] Kim, J., Lee, J., Kim, J., & Yun, J. “M2M Service Platforms: Survey, Issues, and Enabling Technologies,” IEEE Communications Surveys Tutorials, vol. 16, no. 1, pp. 61–76, January 2014. [10] [7] Kopetz, H. Real-Time Systems: Design Principles for Distributed Embedded Applications. Boston, MA: Springer US, 2011, ch. Internet of Things, pp. 307–323. [8] [8] Liu, J.-H., Chen, Y.-F., Lin, T.-S., Lai, D.-W., Wen, T.- H., Sun, C.-H., Juang, J.-Y., Jiang, J.-A. “Urban Air Quality Monitoring System Based On Wireless Sensor Networks,” IEEE, 2011. [11] [9] Malaya, R., & Rai, K. “Understanding Parts per million in real time air quality index,” Journal of Mathematics and Advanced Sciences, pp. 23–29, September 2009. [5] [10] Paul, P., Gupta, R., Tiwari, S., & Sharma, A. “IoT based Air Pollution Monitoring System with Arduino,” IJART, May 2005. [1] [11] SaiKumar, M., Reji, M., & KishoreRaja, P.C. “Air Quality Index in India,” IEEE Conference Chennai, August 2014. [3] [12] Zishan, K., Abbas, A., & Moin, M. “IoT based Air Pollution using NodeMCU and Thingspeak,” IRANS, pp. 11–16, March 2014. [2]
Publication Date
4/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...