"Pilot-type pilot project for air quality sensing, Internet of t
「"Pilot-type pilot project for air quality sensing, Internet of t」於資料集「EPQSummary_EnvironmentalMonitoringAndTesting」由單位「行政院環境保護署」的陳先生所提供，聯繫電話是02-2311-7722#2386，最近更新時間為：2023-07-30 01:01:45。 欄位Project Title的內容是"Pilot-type pilot project for air quality sensing, Internet of things deployment, maintenance, and data services in central Republic of China(Taiwan)" ， 欄位Project Subject的內容是"People are more and more aware of the problem of air pollution because that the quality of air will definitely affect our health.With the advancement of internet and communication technologies,we apply the technique of internet of things to our daily lives extensively. In this project, we have demonstrated the establishment of exemplary Low-cost air quality sensors, which is expected to meet our needs of providing more accurate references for air quality forecasting as well as prompt responses and air pollution control.
There are 500 sensors deployed in Taichung City and they are mainly located in industrial areas, hospitals, schools and major roads. These 500 sensors are settled in 20 administrative districts,where covering 6 major industrial zones and 3,100 factories in Taichung. These sensors form an air quality monitoring network that can trace the source of pollution. The air quality sensor of this project can monitor granular pollutants, CO, O3, NO2, temperature and humidity. The components include motherboard, communication module, power module, gas monitoring module, and granular monitoring module. There are 10 intelligent street lamps mainly deployed in the Shuihu Economic and Trade Park, Maple Garden, the parking of Dakeng No.9 Trail and some traffic main arteries. The intelligent street lamps’ functions are inclusive of solar energy, micro weather station and water level sensing. One of the lamps is even featured in lots of functions such as smart power-saving lighting, digital signage, and CCTV.
We also have developed 7 standard operating procedures as a demonstration .By following the standard operating procedures, we can make sure that those 500-point sensors maintain the normal operation. With wireless communication, the monitoring data can be completely transmitted to the EPA's Environmental Data IoT Center every 3 minutes. We perform regular inspections every three months to repair or replace sensors with poor data quality so as to keep the accuracy of data . In early days of the project, some devices made the data integrity rate lower due to power problems.However, the data integrity rate exceeded 90% after we solved the problem. Additionally, we carried out 5 publicity activities, 4 educational trainings, publicity web pages, and 4-panel comics to let the participants understand the purpose and effectiveness of this plan.
Based on the successful experience of this project, all counties and cities can follow the large number of air quality sensors. Jointly building an air quality monitoring network,we expect not only to reduce illegal air pollution emissions but also improve air quality and create a better environment." ， 欄位Project Year的內容是2017 ， 欄位Organizer的內容是"Department of Environmental Monitoring ＆amp; Information Management" ， 欄位Executive Unit的內容是"中華電信股份有限公司企業客戶分公司" ， 欄位Reporting download URL的內容是https://epq.epa.gov.tw/project/filedownload.aspx?fid=219605 ， 欄位Publish Date的內容是20200401 。
Project Title
"Pilot-type pilot project for air quality sensing, Internet of things deployment, maintenance, and data services in central Republic of China(Taiwan)"
Project Subject
"People are more and more aware of the problem of air pollution because that the quality of air will definitely affect our health.With the advancement of internet and communication technologies,we apply the technique of internet of things to our daily lives extensively. In this project, we have demonstrated the establishment of exemplary Low-cost air quality sensors, which is expected to meet our needs of providing more accurate references for air quality forecasting as well as prompt responses and air pollution control. There are 500 sensors deployed in Taichung City and they are mainly located in industrial areas, hospitals, schools and major roads. These 500 sensors are settled in 20 administrative districts,where covering 6 major industrial zones and 3,100 factories in Taichung. These sensors form an air quality monitoring network that can trace the source of pollution. The air quality sensor of this project can monitor granular pollutants, CO, O3, NO2, temperature and humidity. The components include motherboard, communication module, power module, gas monitoring module, and granular monitoring module. There are 10 intelligent street lamps mainly deployed in the Shuihu Economic and Trade Park, Maple Garden, the parking of Dakeng No.9 Trail and some traffic main arteries. The intelligent street lamps’ functions are inclusive of solar energy, micro weather station and water level sensing. One of the lamps is even featured in lots of functions such as smart power-saving lighting, digital signage, and CCTV. We also have developed 7 standard operating procedures as a demonstration .By following the standard operating procedures, we can make sure that those 500-point sensors maintain the normal operation. With wireless communication, the monitoring data can be completely transmitted to the EPA's Environmental Data IoT Center every 3 minutes. We perform regular inspections every three months to repair or replace sensors with poor data quality so as to keep the accuracy of data . In early days of the project, some devices made the data integrity rate lower due to power problems.However, the data integrity rate exceeded 90% after we solved the problem. Additionally, we carried out 5 publicity activities, 4 educational trainings, publicity web pages, and 4-panel comics to let the participants understand the purpose and effectiveness of this plan. Based on the successful experience of this project, all counties and cities can follow the large number of air quality sensors. Jointly building an air quality monitoring network,we expect not only to reduce illegal air pollution emissions but also improve air quality and create a better environment."
Project Year
2017
Organizer
"Department of Environmental Monitoring ＆amp; Information Management"
Executive Unit
"中華電信股份有限公司企業客戶分公司"
Reporting download URL
Publish Date
20200401
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