環保專案成果報告查詢系統

專案計畫編號
經費年度	111
計畫經費	15,250 千元
預算科目	固定污染源管制
專案開始日期	2022/11/02
專案結束日期	2024/06/30
專案主持人	林明弘
主辦單位	環境部大氣環境司
承辦人	戴鴻勳
執行單位	振興發科技有限公司
專案分類	大氣空氣
中文關鍵字	智慧影像煙霧辨識、環保科技執法、數位簽章
英文關鍵字	Intelligence Smoke Image Recognition, Environment Enforcement Camera, Digital Signature
協同主持人	張寶額
共同主持人
計畫聯絡人	張依憑
計畫聯絡電話	(02) 23393250#211
計畫聯絡信箱	eden@mail.pstcom.com.tw

中文摘要	全國導入影像辨識監控固定源空氣污染的縣市以台中、高雄為大宗，經與環保局了解，實務上影像辨識容易受到外在環境干擾形成誤判，而白煙水蒸氣無法透過影像有效區分也成為一個尚待克服的問題，故環境部希望透過本計畫進一步強化監控系統辨識能力，協助精進雲端影像智慧監控系統之功能與應用範疇。其中台中場域的誤判主要以熱氣為主，高雄則以燈光為主，應用本案成果使台中的煙霧辨識正確率由110年的68.31%，提升至112年的91.96%，而高雄則從111年的83.36%提升至112年的89.23%，有效提升煙霧辨識正確性，另外本計畫也針對透過環境與製程資料進行區分白煙與水蒸氣的可行性分析，亦已有初步成果。此外本計畫另外一項重要的執行成果為協助環境部推動智慧影像判煙科技執法，本團隊結合工研院研擬的煙霧不透光率辨識方法，開發智慧影像判煙科技執法系統，進一步整合數位簽章技術，確保判煙結果具備執法的嚴謹性，期間配合環境部需求進行3場次室內校正，及進行6場次的戶外驗證作業，得到工研院團隊認可，系統符合科技執法標準，協助環境部完成「排放管道中粒狀污染物不透光率檢測方法－影像判定法(NIEA A221.70B)」制定。於112年以本案智慧成果協助主辦單位參加2024智慧城市創新應用獎，成功獲獎，後續並協助辦理6場次推廣說明會，現場展示設備運作實況與檢測報告產出，並於113年5月23日至6月17日於高雄公園寶座大樓進行示範架設，針對固定源煙囪進行科技執法測試，期間由系統自動產生29張檢測報告，可供環保單位開立告發單的參考。基於固定源智慧影像判煙科技執法之成果，本計畫配合主辦單位需求進行計畫展延，進一步協助主辦單位進行利用影像辨識技術發展營建逸散揚塵辨識科技執法的技術研發與驗證草案研擬，於營建逸散影像辨識科技執法中，本團隊採用之影像辨識技術，透過環保局提供的案例實測可達93.3%的辨識正確率，另研擬營建逸散影像辨識驗證草案，草案一樣分為設備校正與系統驗證，其中設備主要要求為可以辨識有無揚塵，而系統驗證標準則為準確率達90%以上，並於新竹科學園區工地進行現地測試，於6月13日至6月21日期間共辨識到439則揚塵事件，提供主辦單位做為未來持續推動營建逸散影像辨識科技執法的基礎。本計畫還協助環境部推動固定污染源的揮發性有機物空氣污染監測技術及減量工作，並維持中央對地方的技術支援能力。我們完成了屏東縣三家化製廠的異味污染調查及改善輔導報告、三家車廠車體表面塗裝作業的VOC排放特性調查、新竹科學園區環境中氟氯碳化合物背景及來源調查，編撰「異味污染溯源技術手冊」、完成一則空氣污染(含異味)的圖卡內容製作、彙整分析各國在異味污染的管制內容、調查技術和適用範圍和管制標準、協助分析空氣污染裁罰案件的訴願結果及裁罰不成立的原因，並舉辦了一場不明異味污染來源追蹤調查技術說明會。此外，我們還彙整分析了歷年公害陳情案件及主要異味陳情類別資料，收集並分析了最近三年的公害陳情環保訴願案件，並研究了磚瓦窯業的空氣污染排放及管制標準。
中文關鍵字	智慧影像煙霧辨識、環保科技執法、數位簽章

中文摘要

全國導入影像辨識監控固定源空氣污染的縣市以台中、高雄為大宗，經與環保局了解，實務上影像辨識容易受到外在環境干擾形成誤判，而白煙水蒸氣無法透過影像有效區分也成為一個尚待克服的問題，故環境部希望透過本計畫進一步強化監控系統辨識能力，協助精進雲端影像智慧監控系統之功能與應用範疇。其中台中場域的誤判主要以熱氣為主，高雄則以燈光為主，應用本案成果使台中的煙霧辨識正確率由110年的68.31%，提升至112年的91.96%，而高雄則從111年的83.36%提升至112年的89.23%，有效提升煙霧辨識正確性，另外本計畫也針對透過環境與製程資料進行區分白煙與水蒸氣的可行性分析，亦已有初步成果。此外本計畫另外一項重要的執行成果為協助環境部推動智慧影像判煙科技執法，本團隊結合工研院研擬的煙霧不透光率辨識方法，開發智慧影像判煙科技執法系統，進一步整合數位簽章技術，確保判煙結果具備執法的嚴謹性，期間配合環境部需求進行3場次室內校正，及進行6場次的戶外驗證作業，得到工研院團隊認可，系統符合科技執法標準，協助環境部完成「排放管道中粒狀污染物不透光率檢測方法－影像判定法(NIEA A221.70B)」制定。於112年以本案智慧成果協助主辦單位參加2024智慧城市創新應用獎，成功獲獎，後續並協助辦理6場次推廣說明會，現場展示設備運作實況與檢測報告產出，並於113年5月23日至6月17日於高雄公園寶座大樓進行示範架設，針對固定源煙囪進行科技執法測試，期間由系統自動產生29張檢測報告，可供環保單位開立告發單的參考。基於固定源智慧影像判煙科技執法之成果，本計畫配合主辦單位需求進行計畫展延，進一步協助主辦單位進行利用影像辨識技術發展營建逸散揚塵辨識科技執法的技術研發與驗證草案研擬，於營建逸散影像辨識科技執法中，本團隊採用之影像辨識技術，透過環保局提供的案例實測可達93.3%的辨識正確率，另研擬營建逸散影像辨識驗證草案，草案一樣分為設備校正與系統驗證，其中設備主要要求為可以辨識有無揚塵，而系統驗證標準則為準確率達90%以上，並於新竹科學園區工地進行現地測試，於6月13日至6月21日期間共辨識到439則揚塵事件，提供主辦單位做為未來持續推動營建逸散影像辨識科技執法的基礎。本計畫還協助環境部推動固定污染源的揮發性有機物空氣污染監測技術及減量工作，並維持中央對地方的技術支援能力。我們完成了屏東縣三家化製廠的異味污染調查及改善輔導報告、三家車廠車體表面塗裝作業的VOC排放特性調查、新竹科學園區環境中氟氯碳化合物背景及來源調查，編撰「異味污染溯源技術手冊」、完成一則空氣污染(含異味)的圖卡內容製作、彙整分析各國在異味污染的管制內容、調查技術和適用範圍和管制標準、協助分析空氣污染裁罰案件的訴願結果及裁罰不成立的原因，並舉辦了一場不明異味污染來源追蹤調查技術說明會。此外，我們還彙整分析了歷年公害陳情案件及主要異味陳情類別資料，收集並分析了最近三年的公害陳情環保訴願案件，並研究了磚瓦窯業的空氣污染排放及管制標準。

中文關鍵字

智慧影像煙霧辨識、環保科技執法、數位簽章

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	空氣污染調查技術精進及支援計畫成果.pdf	23MB	空氣污染調查技術精進及支援計畫成果報告	2024/12/6 上午 12:00:00

摘要	The primary counties and cities nationwide that have implemented image recognition to monitor stationary air pollution source are Taichung and Kaohsiung. According to the Environmental Protection Bureau (EPB), in practice, image recognition is easily affected by external environmental interferences, leading to misjudgments. Additionally, the inability to effectively distinguish between white smoke and steam through images remains an issue to be addressed. Therefore, the Ministry of Environment aims to enhance the recognition capabilities of the monitoring system through this project, assisting in improving the functionality and application scope of the cloud-based intelligent image monitoring system. In Taichung, misjudgments are primarily caused by hot air, while in Kaohsiung, they are caused by lighting. The application of this project’s results increased the smoke recognition accuracy rate in Taichung from 68.31% in 2021 to 91.96% in 2023, and in Kaohsiung from 83.36% in 2022 to 89.23% in 2023, significantly improving the accuracy of smoke recognition. Furthermore, this project has conducted a feasibility analysis on distinguishing between white smoke and steam through environmental and process data, achieving preliminary results. Another important achievement of this project is assisting the Ministry of Environment in promoting intelligent image smoke recognition technology for law enforcement. Our team, in collaboration with the Industrial Technology Research Institute (ITRI), developed an intelligent image smoke recognition law enforcement system using a smoke opacity recognition method. We further integrated digital signature technology to ensure the rigor of the law enforcement results. During the period, we conducted three indoor calibrations and six outdoor verification operations in accordance with the Ministry of Environment's requirements. The system met the technological law enforcement standards recognized by the ITRI team, assisting the Ministry of Environment in establishing the "Method for Testing Opacity of Particulate Matter in Emission Pipes - Image Determination Method (NIEA A221.70B)." In 2023, this project’s intelligent outcomes helped the organizing unit win the 2024 Smart City Innovation Application Award. Subsequently, we organized six promotional seminars, demonstrating the equipment operation and detection report generation on-site. From May 23 to June 17, 2023, a demonstration setup was conducted at the Throne Building in Kaohsiung Park, testing technological law enforcement on fixed-source chimneys. During this period, the system automatically generated 29 detection reports, serving as references for environmental protection units to issue citations.
英文關鍵字	Intelligence Smoke Image Recognition, Environment Enforcement Camera, Digital Signature

摘要

The primary counties and cities nationwide that have implemented image recognition to monitor stationary air pollution source are Taichung and Kaohsiung. According to the Environmental Protection Bureau (EPB), in practice, image recognition is easily affected by external environmental interferences, leading to misjudgments. Additionally, the inability to effectively distinguish between white smoke and steam through images remains an issue to be addressed. Therefore, the Ministry of Environment aims to enhance the recognition capabilities of the monitoring system through this project, assisting in improving the functionality and application scope of the cloud-based intelligent image monitoring system. In Taichung, misjudgments are primarily caused by hot air, while in Kaohsiung, they are caused by lighting. The application of this project’s results increased the smoke recognition accuracy rate in Taichung from 68.31% in 2021 to 91.96% in 2023, and in Kaohsiung from 83.36% in 2022 to 89.23% in 2023, significantly improving the accuracy of smoke recognition. Furthermore, this project has conducted a feasibility analysis on distinguishing between white smoke and steam through environmental and process data, achieving preliminary results. Another important achievement of this project is assisting the Ministry of Environment in promoting intelligent image smoke recognition technology for law enforcement. Our team, in collaboration with the Industrial Technology Research Institute (ITRI), developed an intelligent image smoke recognition law enforcement system using a smoke opacity recognition method. We further integrated digital signature technology to ensure the rigor of the law enforcement results. During the period, we conducted three indoor calibrations and six outdoor verification operations in accordance with the Ministry of Environment's requirements. The system met the technological law enforcement standards recognized by the ITRI team, assisting the Ministry of Environment in establishing the "Method for Testing Opacity of Particulate Matter in Emission Pipes - Image Determination Method (NIEA A221.70B)." In 2023, this project’s intelligent outcomes helped the organizing unit win the 2024 Smart City Innovation Application Award. Subsequently, we organized six promotional seminars, demonstrating the equipment operation and detection report generation on-site. From May 23 to June 17, 2023, a demonstration setup was conducted at the Throne Building in Kaohsiung Park, testing technological law enforcement on fixed-source chimneys. During this period, the system automatically generated 29 detection reports, serving as references for environmental protection units to issue citations.

英文關鍵字

Intelligence Smoke Image Recognition, Environment Enforcement Camera, Digital Signature