環保專案成果報告查詢系統

專案計畫編號
經費年度	112
計畫經費	8,000 千元
預算科目	數位建設-建構開放政府及智慧城鄉服務
專案開始日期	2023/03/11
專案結束日期	2024/03/10
專案主持人	賴佳敏
主辦單位	環境部監測資訊司
承辦人	林信宏
執行單位	卡米爾股份有限公司
專案分類	環境監測及檢測
中文關鍵字	空氣網(aiR網)、移動式感測器、地理資訊系統、物聯網、大數據、人工智慧、AQI預測
英文關鍵字	MoT, Mobile IoT, Geographic Information System, Internet of Things, Big Data, Artificial Intelligence, Air Quality Forecast, Air Quality Sensing Network(aiR)
協同主持人
共同主持人
計畫聯絡人	劉姿嘉
計畫聯絡電話	03-5727778#
計畫聯絡信箱	zihjia@cameo.tw

中文摘要	本計畫以系統化和技術導向的方法，旨在進一步提升我國環境品質監測與管理能力，透過實施全面性的環境感測物聯網來達成目標。計畫內容聚焦於環境數據的即時監控、分析以及應對策略的開發，利用空氣、水質以及物聯網輔助管理系統來提升公共領域對環境品質的即時反應及決策能力。計畫的主要工作範圍包括維護優化空氣和水質物聯網分析應用平台、發展空氣品質預測模組、進行數據加值應用研究、以及確保系統的資安。透過本計畫期望強化現有的環境感測架構，並推動先進技術於環境治理的應用。此外，計畫著重於提升公部門稽查效率與決策品質，透過建置先進的環境感測物聯網平臺，整合通訊傳輸技術、雲端資訊系統、AI人工智慧分析，建構全面的環境數據管理與分析工具。計畫同時推廣感測技術於實際稽查作業、環境治理的應用，增進稽查效率，並透過教育訓練與民眾參與活動來提升社會對環境議題的認知。綜上所述，本計畫透過強化環境監測與管理平臺的建設與整合，目標在於強化全面監控與即時分析環境感測數據的能力，進而提升環境治理水準。期望通過本計畫的實施，能夠邁向更智慧、高效的環境管理新篇章。
中文關鍵字	空氣網(aiR網)、移動式感測器、地理資訊系統、物聯網、大數據、人工智慧、AQI預測

中文摘要

本計畫以系統化和技術導向的方法，旨在進一步提升我國環境品質監測與管理能力，透過實施全面性的環境感測物聯網來達成目標。計畫內容聚焦於環境數據的即時監控、分析以及應對策略的開發，利用空氣、水質以及物聯網輔助管理系統來提升公共領域對環境品質的即時反應及決策能力。計畫的主要工作範圍包括維護優化空氣和水質物聯網分析應用平台、發展空氣品質預測模組、進行數據加值應用研究、以及確保系統的資安。透過本計畫期望強化現有的環境感測架構，並推動先進技術於環境治理的應用。此外，計畫著重於提升公部門稽查效率與決策品質，透過建置先進的環境感測物聯網平臺，整合通訊傳輸技術、雲端資訊系統、AI人工智慧分析，建構全面的環境數據管理與分析工具。計畫同時推廣感測技術於實際稽查作業、環境治理的應用，增進稽查效率，並透過教育訓練與民眾參與活動來提升社會對環境議題的認知。綜上所述，本計畫透過強化環境監測與管理平臺的建設與整合，目標在於強化全面監控與即時分析環境感測數據的能力，進而提升環境治理水準。期望通過本計畫的實施，能夠邁向更智慧、高效的環境管理新篇章。

中文關鍵字

空氣網(aiR網)、移動式感測器、地理資訊系統、物聯網、大數據、人工智慧、AQI預測

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	10_成果報告(結案報告)_v4_公開版pdf.pdf	57MB		2024/4/30 上午 12:00:00

摘要	This project is designed with a systematic and technology-oriented approach, aiming to further enhance our national capacity for environmental quality monitoring and management. By implementing a comprehensive environmental sensing IoT, the project seeks to accomplish its objectives. The content of the project focuses on real-time monitoring, analysis of environmental data, and the development of responsive strategies. It utilizes air and water quality as well as IoT-assisted management systems to enhance the public sector's real-time response and decision-making capacity for environmental quality. The main work scope of the project includes maintaining and optimizing the air and water quality IoT analysis application platform, developing air quality prediction models, conducting data value-added application research, and ensuring system cybersecurity. Through this project, it is hoped to strengthen the existing environmental sensing framework and promote the application of advanced technologies in environmental governance. Furthermore, the project emphasizes enhancing the efficiency and decision quality of public sector inspections. By establishing an advanced environmental sensing IoT platform and integrating communication technologies, cloud information systems, and AI artificial intelligence analysis, it constructs a comprehensive environmental data management and analysis tool. The project also promotes the application of sensing technology in actual inspection operations and environmental governance, improving inspection efficiency and enhancing public awareness of environmental issues through education, training, and participation activities. In summary, through strengthening the construction and integration of the environmental monitoring and management platform, this project aims to enhance the capacity for comprehensive monitoring and real-time analysis of environmental sensing data, thereby raising the level of environmental governance. It is hoped that the implementation of this project will lead to a smarter, more efficient new chapter in environmental management.
英文關鍵字	MoT, Mobile IoT, Geographic Information System, Internet of Things, Big Data, Artificial Intelligence, Air Quality Forecast, Air Quality Sensing Network(aiR)

摘要

This project is designed with a systematic and technology-oriented approach, aiming to further enhance our national capacity for environmental quality monitoring and management. By implementing a comprehensive environmental sensing IoT, the project seeks to accomplish its objectives. The content of the project focuses on real-time monitoring, analysis of environmental data, and the development of responsive strategies. It utilizes air and water quality as well as IoT-assisted management systems to enhance the public sector's real-time response and decision-making capacity for environmental quality. The main work scope of the project includes maintaining and optimizing the air and water quality IoT analysis application platform, developing air quality prediction models, conducting data value-added application research, and ensuring system cybersecurity. Through this project, it is hoped to strengthen the existing environmental sensing framework and promote the application of advanced technologies in environmental governance. Furthermore, the project emphasizes enhancing the efficiency and decision quality of public sector inspections. By establishing an advanced environmental sensing IoT platform and integrating communication technologies, cloud information systems, and AI artificial intelligence analysis, it constructs a comprehensive environmental data management and analysis tool. The project also promotes the application of sensing technology in actual inspection operations and environmental governance, improving inspection efficiency and enhancing public awareness of environmental issues through education, training, and participation activities. In summary, through strengthening the construction and integration of the environmental monitoring and management platform, this project aims to enhance the capacity for comprehensive monitoring and real-time analysis of environmental sensing data, thereby raising the level of environmental governance. It is hoped that the implementation of this project will lead to a smarter, more efficient new chapter in environmental management.

英文關鍵字

MoT, Mobile IoT, Geographic Information System, Internet of Things, Big Data, Artificial Intelligence, Air Quality Forecast, Air Quality Sensing Network(aiR)