Published January 30, 2025 | Version CC BY-NC-ND 4.0
Journal Open

Utilizing Raspberry Pi and Internet of Things (IoT) Frameworks for Comprehensive Monitoring of Urban Pollutants and Climate Variables

Creators

  • 1. Lecturer, College of Engineering and Technology, UTAS, Nizwa, Sultanate of Oman.

Contributors

Contact person:

  • 1. Senior Lecturer, College of Engineering and Technology, UTAS, Nizwa.
  • 2. Lecturer, College of Engineering and Technology, UTAS, Nizwa.

Description

Abstract: Global warming is the effect of a rise in Earth's climate temperature due to air pollution. Urban areas have higher levels of air pollution than rural areas due to increased traffic and rapid development. In addition to brief health problems like headaches, eye infections, and throat in-factions, pollution also has lengthy health repercussions like lung cancer and heart disease. As a result, it's important to keep an eye on the many climatic and pollution indicators, including light intensity, temperature, humidity, air pressure, oxygen and carbon dioxide level and camera. Using suitable equipment and Internet of Things (IoT) technologies, a pollution and climate monitoring system is constructed in the proposed paper that can measure the parameters above at regular intervals. The system then uploads the data to a webpage in the ThingSpeak. The IoT analytics platform service ThingSpeak enables the collection, visualization, and analysis of real-time data streams. The sensors are used to feed data to ThingSpeak, which instantly visualizes the data in a graph. The main tool for gathering data from the sensors and sending parameters to the website is the Raspberry Pi3 computer. The software code is developed using Python. By logging on to the website from any location in the world, one can view the submitted pollution and climate parameters of a specific location.

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Additional details

Identifiers

EISSN
2277-3878
DOI
10.35940/ijrte.E8184.13050125

Dates

Accepted
2025-01-15
Manuscript received on 30 October 2024 | First Revised Manuscript received on 14 November 2024 | Second Revised Manuscript received on 13 December 2024 | Manuscript Accepted on 15 January 2025 | Manuscript published on 30 January 2025

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