Abstract

In this paper, we present our proposed air quality monitoring system with multiple data sources for smart cities. We deploy our system in one of the biggest cities in Vietnam, Ho Chi Minh City. The proposed system uses data collected by our sensors and extracted from remote sensing images. The system also allows users to contribute by provide alerts through a portal. With data collected from sensors, we can provide exact values of fundamental parameters for calculating air quality index (AQI) while data extracted from remote sensing images help governors estimate the AQI values in surrounding areas without sensors deployed. This estimation although cannot provide exact information as sensors, it helps us to quickly understand AQI in an extremely large area with low cost. Along with these data sources, notifications from users also allow governors to react unawareness problems faster. Experimental results show the error (difference) between our systems and commercial devices is less than 24% for sensoring system and less than 9% for remote sensing images estimation. The sensoring system presented in this paper is low-energy consumption when using only 900mW in average.

Highlights

  • According to World Health Organization, there are about 12.6 millions of people died due to unhealthy environment [1]

  • Cuong Pham-Quoc et al In Ho Chi Minh city (HCMC), this is the biggest city in Vietnam with the highest population, there exist only a few of fixed air quality monitoring stations

  • We introduce our air quality monitor system with multiple data sources that can be applied in smart cities like Ho Chi Minh City

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Summary

Introduction

According to World Health Organization, there are about 12.6 millions of people died due to unhealthy environment [1]. Many countries in the worlds have built and operated air monitoring and air quality forecasting systems These systems can collect and predict levels of harmful gases such as O3, NO2, or CO and fine particulate matter (PM2.5) [4][5][6]. In Ho Chi Minh city (HCMC), this is the biggest city in Vietnam with the highest population, there exist only a few of fixed air quality monitoring stations According to these systems, the PM2.5 level in HCMC rises to the unhealthy level (25 μg/m3) [3]. To provide people in HCMC a better life, air quality monitoring systems with multiple data sources as well as multiple parameters collected such as CO, CO2, temperature, or humidity level should be investigated.

Related work
System overview
Sensoring systems
Remote sensing images processing
Database systems
System validation
Validation the sensoring systems
Energy consumption measurement
Findings
Conclusion
Full Text
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