Raspberry-Pi Based Smart Environmental Monitoring and Controlling System-Reference-Cited by-同舟云学术

Raspberry-Pi Based Smart Environmental Monitoring and Controlling System

Published:2024-03 Issue:1 Volume:6 Page:1-16
ISSN:2582-3167
Container-title:IRO Journal on Sustainable Wireless Systems
language:en
Short-container-title:JSWS

Author:

Kulkarni Aditi,Nayak C K Karan,Lokesh Sathvik,S P Meharunnisa

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.

Publisher

Inventive Research Organization

Reference14 articles.

1. [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. [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. [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. [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. [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.