International Journal of Scientific Research in Network Security and Communication
  • Year: 2022
  • Volume: 10
  • Issue: 1

Air quality measurement: Digital dashboard using smartphone

  • Author:
  • R. Deepalakshmi*, R. Vanitha, M. Shivashankari, J. Jeyarani, S. Shanthi
  • Total Page Count: 6
  • Page Number: 11 to 16

Department of ECE, CARE College of Engineering, Tiruchirappalli, Tamilnadu, India

*Corresponding Author: rdeepalakshmi@care.ac.in, Mob: 8344898019

Online published on 21 September, 2023.

Abstract

In cities all over the globe are transforming into smart cities. Smart cities initiatives need to address environmental concerns such as air pollution to provide clean air. A scalable and cost-effective air monitoring system is imperative to monitor and control air pollution for smart city development. Air pollution has notable effects on the well-being of the population a whole, global atmosphere, and worldwide economy. This paper presents a scalable smart air quality monitoring system with low cost sensors and long-range communication protocol. The sensors collect four parameters, temperature, humidity, dust and carbon dioxide in the air. The proposed end-to-end system has been implemented and deployed in Yangon, the business capital of Myanmar, as a case study since Jun 2018. The system allows the users to log in to an online dashboard to monitor the real-time status. In addition, based the collected air quality parameters for the past two months, a Machine Learning model has been trained to make predictions of parameters such that proactive actions can be taken to alleviate the impacts from air pollution.

Keywords

Temperature, Humidity, Dust and Carbon dioxide, Machine Learning omponent, Formatting, Style, Styling, Insert