期刊论文详细信息
EAI Endorsed Transactions on Context-aware Systems and Applications
Air Quality Monitoring Systems with Multiple Data Sources for Ho Chi Minh City
Tran Thinh1  Tan Le1  Cuong Pham-Quoc1  Trong Le1  Kha Hoang1  Phan Vu2 
[1] Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet, District 10, Ho Chi Minh City, VietnamVietnam National University – Ho Chi Minh City, Thu Duc District, Ho Chi Minh City, Vietnam;Vietnam National University – Ho Chi Minh City, Thu Duc District, Ho Chi Minh City, VietnamInternational University – VNU-HCM, Thu Duc District, Ho Chi Minh City, Vietnam;
关键词: air quality index;    air pollution;    smart city;    fine particulate matter;    remote sensing images;   
DOI  :  10.4108/eai.24-5-2021.169971
来源: DOAJ
【 摘 要 】

In this paper, we present our proposed air quality monitoring system with multiple data sources for smart cities. We deploy oursysteminoneofthebiggestcitiesinVietnam,HoChiMinhCity.Theproposedsystemusesdatacollectedbyoursensors 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 withoutsensorsdeployed.Thisestimationalthoughcannotprovideexactinformationassensors,ithelpsustoquicklyunderstandAQIinanextremelylargeareawithlowcost.Alongwiththesedatasources,notificationsfromusersalsoallowgovernorstoreactunawarenessproblemsfaster.Experimentalresultsshowtheerror(difference)betweenoursystemsandcommercialdevicesislessthan24%forsensoringsystemandlessthan9%forremotesensingimagesestimation. The sensoring system presented in this paper is low-energy consumption when using only 900mW in average.

【 授权许可】

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