IRO Journal on Sustainable Wireless Systems
IRO Journals
Volume 6 — Issue 1 — March 2024

Raspberry-Pi Based Smart Environmental Monitoring and Controlling System

https://doi.org/10.36548/jsws.2024.1.001
Aditi Kulkarni
Department of Electronics & Instrumentation Engineering, Dayananda Sagar College of Engineering, Bengaluru, India
Karan Nayak C K
Department of Electronics & Instrumentation Engineering, Dayananda Sagar College of Engineering, Bengaluru, India
Sathvik Lokesh
Department of Electronics & Instrumentation Engineering, Dayananda Sagar College of Engineering, Bengaluru, India
Meharunnisa S P
Department of Electronics & Instrumentation Engineering, Dayananda Sagar College of Engineering, Bengaluru, India
PDF
PDF

How to Cite

Kulkarni, Aditi, Karan Nayak C K, Sathvik Lokesh, and Meharunnisa S P. 2024. “Raspberry-Pi Based Smart Environmental Monitoring and Controlling System”. IRO Journal on Sustainable Wireless Systems 6 (1): 1-16. https://doi.org/10.36548/jsws.2024.1.001.
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Keywords

— IoT
— Raspberry-Pi
— Sensors
— ThingSpeak cloud
Published: 13-03-2024

Abstract

This study presents the design and implementation of an Internet of Things (IoT) based framework for continuous monitoring and control of air quality parameters. The system incorporates various sensors, including the DHT11 for temperature and humidity measurement, the MQ-135 for gas detection, an LM393 comparator sensor for rainfall detection, and an additional 12V fan controlled by a relay. These sensors seamlessly interface with a Raspberry Pi, serving as the central control unit. The collected data is transmitted to the ThingSpeak cloud platform for real-time visualization and analysis. The system's architecture allows for remote monitoring and control of air quality parameters, facilitating proactive decision-making for environmental management. Experimental results demonstrate the system's effectiveness in providing accurate and timely information about temperature, humidity, rainfall, and gas concentrations in the air, making it a valuable tool for environmental monitoring and control applications.

References

  1. Meghana P Gowda, Harshitha G Y, Jyothi K N, Srushti, Padma R “Air Quality Monitoring System” International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Volume 9, Issue 12, (2021) 69 -71.
  2. Rani, SHOLA USHA, S. Rajarajeswari, JERRY GEORGE Jaimon, and R. O. S. H. A. N. Ravichandran. "Real-time air quality monitoring system using MQ-135 and thingsboard." Journal of critical reviews 7, no. 18 (2020): 4107-4115.
  3. Sindhwani, Nidhi, Rohit Anand, Rashmi Vashisth, Sudhir Chauhan, Veera Talukdar, and Dharmesh Dhabliya. "Thingspeak-based environmental monitoring system using IoT." In 2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC), pp. 675-680. IEEE, 2022.
  4. Ghael, Hirak Dipak, L. Solanki, and Gaurav Sahu. "A review paper on raspberry pi and its applications." International Journal of Advances in Engineering and Management (IJAEM) 2, no. 12 (2020): 4.
  5. Sajjan, Vijayakumar, and Pramod Sharma. "Research on an iot based air pollution monitoring system." Int. J. Innov. Technol. Explor. Eng 8, no. 9 (2019): 553-558.
  6. Yogesh.S, Sreedhar, Ms.G.T.Bharathy “Rain Detection System Using Arduino and Rain Sensor” International Journal of Scientific Research in Science, Engineering and Technology Print ISSN: 2395-1990 Volume 9 - Issue 8 - , 2021 203 -209
  7. Ansari, Seema, Adeel Ansari, Adeet Kumar, Rahul Kumar, and Elisha Tadiwa Nyamasvisva. "Environmental Temperature and Humidity Monitoring at Agricultural Farms using Internet of Things & DHT22-Sensor." Journal of Independent Studies and Research Computing 21, no. 2 (2023): 25-31.
  8. Sundaram, Dharmaraj, Ili Najaa Aimi Mohd Nordin, Nurulaqilla Khamis, Noraishikin Zulkarnain, Muhammad Rusydi Muhammad Razif, and Amar Faiz Zainal Abidin. "Development of real-time IoT based air and noise monitoring system." (2021): 500-506.
  9. Jadhav, Gaurav, Kunal Jadhav, and Kavita Nadlamani. "Environment monitoring system using Raspberry-Pi." Int. Res. J. Eng. Technol.(IRJET) 3, no. 04 (2016): 1168-1172.
  10. Nikhade, Sudhir G. "Wireless sensor network system using Raspberry Pi and zigbee for environmental monitoring applications." In 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), pp. 376-381. IEEE, 2015.
  11. Kiruthika, R., and A. Umamakeswari. "Low cost pollution control and air quality monitoring system using Raspberry Pi for Internet of Things." In 2017 International conference on energy, communication, data analytics and soft computing (ICECDS), pp. 2319-2326. IEEE, 2017.
  12. Billa, Poornaiah, K. Venkatesh, J. Venkata Sai, K. Lohith, and A. Sampath Kumar. "Effective monitoring and protecting system for agriculture farming using IoT and raspberry pi." Materials Today: Proceedings 80 (2023): 2917-2920.
  13. Mazumder, Aisheek, and Gaurav Kumar Bharti. "A Cloud-Based Real Time Weather Reporting System Using IoT." In Recent Developments in Electronics and Communication Systems, pp. 645-650. IOS Press, 2023.
  14. Rane, Mohit S., Arjav R. Naik, and Khyati Vachhani. "Real-time AQI monitoring system: an economical approach using wireless sensor network." In 2018 9th international conference on computing, communication and networking technologies (ICCCNT), pp. 1-6. IEEE, 2018.