環保專案成果報告查詢系統

專案計畫編號
經費年度	109
計畫經費	23,680 千元
專案開始日期	2020/06/04
專案結束日期	2020/12/31
專案主持人	蘇柏勛
主辦單位	臺中市政府環境保護局
承辦人	陳文裕、鄭丞峰
執行單位	亞太電信股份有限公司
專案分類	環境監測及檢測
中文關鍵字	懸浮微粒、揮發性有機物、物聯網
英文關鍵字	PM2.5, VOCs, Internet of Things
協同主持人	徐學樑、劉承榮
共同主持人
計畫聯絡人	李御豪
計畫聯絡電話	04-22360478#
計畫聯絡信箱	dustseal1382@taichung.gov.tw

中文摘要	本計畫工作項目包含空氣品質感測布建前感測器型式驗證、感測點位規劃、一致性比對以及用電請電申請等作業，布建完成後針對空氣品質感測器運轉管理以確保數據品質及上傳數據完整率，以及感測器監測數據分析及相關成果。本計畫使用之感測器已於108年8月份取得環保署授權驗證中心工研院之型式驗證比對。在感測點位規劃上，以敏感族群區（如學校、醫院、公害陳情位置等）、人口密集區（如衛生所、寺廟、夜市、市場等）、工業區(如南勢工業區及大肚工業區等)及車流熱區（如高鐵站、火車站及交通要道等）感測為主，強化臺中市空氣品質感測物聯網，建立及分析感測數據資料提供應用機制。本計畫550台空氣品質感測器已於109年10月30日完成布建。為確保感測器數據品質，本計畫訂定感測器物聯網運作品質管理作業，在空品感測器運轉階段主要進行定期巡檢比對作業，並以遠端長期監控感測器狀態，截至12月底共253件次設備障礙，多以電力供電異常(如燈桿無電力)及設備問題(如主機板損壞、感測器電池效能不佳等)為主要障礙原因，皆已進行障礙排除。統計6月至12月511台感測器數據上傳完整率均符合合約規範每季資料有效完整率達90%之目標。在感測器監測數據分析與應用方面，本期依感測器時間特徵分析資料，定期每月提報至相關業務科室進行後續處理，於計畫期間共協助稽查4件次。將持續監測與分析，並進一步探討與建立空品感測器監測數值異常通報作業流程。
中文關鍵字	懸浮微粒、揮發性有機物、物聯網

中文摘要

本計畫工作項目包含空氣品質感測布建前感測器型式驗證、感測點位規劃、一致性比對以及用電請電申請等作業，布建完成後針對空氣品質感測器運轉管理以確保數據品質及上傳數據完整率，以及感測器監測數據分析及相關成果。本計畫使用之感測器已於108年8月份取得環保署授權驗證中心工研院之型式驗證比對。在感測點位規劃上，以敏感族群區（如學校、醫院、公害陳情位置等）、人口密集區（如衛生所、寺廟、夜市、市場等）、工業區(如南勢工業區及大肚工業區等)及車流熱區（如高鐵站、火車站及交通要道等）感測為主，強化臺中市空氣品質感測物聯網，建立及分析感測數據資料提供應用機制。本計畫550台空氣品質感測器已於109年10月30日完成布建。為確保感測器數據品質，本計畫訂定感測器物聯網運作品質管理作業，在空品感測器運轉階段主要進行定期巡檢比對作業，並以遠端長期監控感測器狀態，截至12月底共253件次設備障礙，多以電力供電異常(如燈桿無電力)及設備問題(如主機板損壞、感測器電池效能不佳等)為主要障礙原因，皆已進行障礙排除。統計6月至12月511台感測器數據上傳完整率均符合合約規範每季資料有效完整率達90%之目標。在感測器監測數據分析與應用方面，本期依感測器時間特徵分析資料，定期每月提報至相關業務科室進行後續處理，於計畫期間共協助稽查4件次。將持續監測與分析，並進一步探討與建立空品感測器監測數值異常通報作業流程。

中文關鍵字

懸浮微粒、揮發性有機物、物聯網

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	臺中市政府環境保護局-109年度臺中市空氣品質感測物聯網進階計畫期末報告定稿.pdf	20MB	109年臺中市空氣品質感測物聯網進階計畫期末報告	2022/4/13 上午 12:00:00

摘要	The work items of this project include sensor type verification before air quality sensor deployment, sensor location planning, consistency comparison, and electricity application. After the deployment is completed, air quality sensor operation and management Ensure data quality and upload data integrity rate, as well as sensor monitoring data analysis and related results. The sensor used in this project has obtained the type verification comparison of the Industrial Technology Research Institute authorized by the Environmental Protection Agency in August 108. In the planning of sensing points, sensitive ethnic areas (such as schools, hospitals, locations of pollution complaints, etc.), densely populated areas (such as health centers, temples, night markets, markets, etc.), industrial areas (such as Nanshi Industrial Zone and Dadu Industrial areas, etc.) and hot traffic areas (such as high-speed rail stations, railway stations, and traffic arteries, etc.) are focused on sensing, strengthening the air quality sensing Internet of Things in Taichung City, and establishing and analyzing sensing data to provide application mechanisms. The deployment of 550 air quality sensors in this project was completed on October 30, 109. In order to ensure the quality of sensor data, this plan sets the operation quality management of the sensor Internet of Things. During the empty sensor operation stage, regular inspection and comparison operations are mainly carried out, and the sensor status is remotely monitored for a long time. As of the end of December, there were a total of 253 equipment obstacles. Most of them were power supply abnormalities (such as lamp poles without electricity) and equipment problems (such as motherboard damage, poor sensor battery performance, etc.) as the main obstacles. All obstacles have been eliminated. . According to statistics, the data upload integrity rate of 511 sensors from June to December is in compliance with the contract specification and the quarterly data integrity rate target is 90%. In terms of sensor monitoring data analysis and application, this issue will analyze the data based on the time characteristics of the sensor and report it to the relevant business department for follow-up processing on a monthly basis. During the project period, it assisted in 4 inspections. It will continue to monitor and analyze, and further explore and establish an operation process for reporting abnormal values of empty sensor monitoring.
英文關鍵字	PM2.5, VOCs, Internet of Things

摘要

The work items of this project include sensor type verification before air quality sensor deployment, sensor location planning, consistency comparison, and electricity application. After the deployment is completed, air quality sensor operation and management Ensure data quality and upload data integrity rate, as well as sensor monitoring data analysis and related results. The sensor used in this project has obtained the type verification comparison of the Industrial Technology Research Institute authorized by the Environmental Protection Agency in August 108. In the planning of sensing points, sensitive ethnic areas (such as schools, hospitals, locations of pollution complaints, etc.), densely populated areas (such as health centers, temples, night markets, markets, etc.), industrial areas (such as Nanshi Industrial Zone and Dadu Industrial areas, etc.) and hot traffic areas (such as high-speed rail stations, railway stations, and traffic arteries, etc.) are focused on sensing, strengthening the air quality sensing Internet of Things in Taichung City, and establishing and analyzing sensing data to provide application mechanisms. The deployment of 550 air quality sensors in this project was completed on October 30, 109. In order to ensure the quality of sensor data, this plan sets the operation quality management of the sensor Internet of Things. During the empty sensor operation stage, regular inspection and comparison operations are mainly carried out, and the sensor status is remotely monitored for a long time. As of the end of December, there were a total of 253 equipment obstacles. Most of them were power supply abnormalities (such as lamp poles without electricity) and equipment problems (such as motherboard damage, poor sensor battery performance, etc.) as the main obstacles. All obstacles have been eliminated. . According to statistics, the data upload integrity rate of 511 sensors from June to December is in compliance with the contract specification and the quarterly data integrity rate target is 90%. In terms of sensor monitoring data analysis and application, this issue will analyze the data based on the time characteristics of the sensor and report it to the relevant business department for follow-up processing on a monthly basis. During the project period, it assisted in 4 inspections. It will continue to monitor and analyze, and further explore and establish an operation process for reporting abnormal values of empty sensor monitoring.

英文關鍵字

PM2.5, VOCs, Internet of Things