Scalable, low-cost, and versatile system design for air pollution and traffic density monitoring and analysis

TL;DR

This paper presents a scalable, cost-effective, and versatile air pollution and traffic density monitoring system using affordable hardware and cloud storage, aiding sustainable urban planning.

Contribution

It introduces a flexible, inexpensive monitoring system integrating sensors, cameras, and cloud storage, enabling causal analysis of traffic and air quality in urban environments.

Findings

System is scalable and low-cost.

Enables analysis of traffic and pollution correlation.

Supports sustainable urban planning.

Abstract

Vietnam requires a sustainable urbanization, for which city sensing is used in planning and de-cision-making. Large cities need portable, scalable, and inexpensive digital technology for this purpose. End-to-end air quality monitoring companies such as AirVisual and Plume Air have shown their reliability with portable devices outfitted with superior air sensors. They are pricey, yet homeowners use them to get local air data without evaluating the causal effect. Our air quality inspection system is scalable, reasonably priced, and flexible. Minicomputer of the sys-tem remotely monitors PMS7003 and BME280 sensor data through a microcontroller processor. The 5-megapixel camera module enables researchers to infer the causal relationship between traffic intensity and dust concentration. The design enables inexpensive, commercial-grade hardware, with Azure Blob storing air pollution data and surrounding-area imagery and pre-venting the system from physically expanding. In addition, by including an air channel that re-plenishes and distributes temperature, the design improves ventilation and safeguards electrical components. The gadget allows for the analysis of the correlation between traffic and air quali-ty data, which might aid in the establishment of sustainable urban development plans and poli-cies.