環保專案成果報告查詢系統

專案計畫編號	MOENV054112002
經費年度	112
計畫經費	8,060 千元
預算科目	科技發展-環境科學及技術之研究
專案開始日期	2023/03/13
專案結束日期	2023/12/31
專案主持人	朱振華
主辦單位	環境部監測資訊司
承辦人	陳香宇
執行單位	工業技術研究院
專案分類	水質保護、環境監測及檢測
中文關鍵字	物聯網、水質感測、自動校準、水質模式、涵容能力
英文關鍵字	IoT, Water quality sensing, Auto tuning, Water quality model, Carrying capacity
協同主持人
共同主持人
計畫聯絡人	朱振華
計畫聯絡電話	03-5918531#
計畫聯絡信箱	ronaldchu@itri.org.tw

中文摘要	為達到高效化水聯網應用並延續環境部迄今在環境水質物聯網推動的相關工作，計畫團隊檢視過去建立的研發成果，針對不足處持續投入研發量能，並逐步擴大應用面，執行多元化場域驗證與商業化探討。本年度共有四大執行重點，計畫成果包括：（一）研析國際環境物聯網與水體感測元件發展趨勢：收集國際水質物聯網不同情境案例及比較水質與水量感測方式與成熟技術，提出適用於不同場域的感測技術與設備，並建議未來研發與應用方向；（二）優化水質感測器及元件擴充：完成光學感測設備自動校準功能、微米級前處理與電極自動清洗裝置設計、固定式設備感測元件擴充及開發小型餘氯感測器，完成實際場域或實場水樣驗證；（三）流域管理及民生應用量能提升：在科技執法部分，完成3件次稽查告發，共計裁罰304萬元；在水質模式應用部分，推估南崁溪中上游涵容能力、評析污染情形並建立污染削減計畫；在污水廠節能策略部分，運用感測器於污水處理場程序進行感測，研析節能減碳控制策略；（四）計畫成果推廣，完成6篇研討會或期刊論文發表及1項中國專利申請。計畫團隊持續透過研發優化、數據分析至多元應用推廣，逐步擴大計畫影響面。藉由中央到地方共同推動，從環境至產業跨域加值，將水聯網融入生活，把水質數據透明化，用科技改善環境品質，讓民眾有感。
中文關鍵字	物聯網、水質感測、自動校準、水質模式、涵容能力

中文摘要

為達到高效化水聯網應用並延續環境部迄今在環境水質物聯網推動的相關工作，計畫團隊檢視過去建立的研發成果，針對不足處持續投入研發量能，並逐步擴大應用面，執行多元化場域驗證與商業化探討。本年度共有四大執行重點，計畫成果包括：（一）研析國際環境物聯網與水體感測元件發展趨勢：收集國際水質物聯網不同情境案例及比較水質與水量感測方式與成熟技術，提出適用於不同場域的感測技術與設備，並建議未來研發與應用方向；（二）優化水質感測器及元件擴充：完成光學感測設備自動校準功能、微米級前處理與電極自動清洗裝置設計、固定式設備感測元件擴充及開發小型餘氯感測器，完成實際場域或實場水樣驗證；（三）流域管理及民生應用量能提升：在科技執法部分，完成3件次稽查告發，共計裁罰304萬元；在水質模式應用部分，推估南崁溪中上游涵容能力、評析污染情形並建立污染削減計畫；在污水廠節能策略部分，運用感測器於污水處理場程序進行感測，研析節能減碳控制策略；（四）計畫成果推廣，完成6篇研討會或期刊論文發表及1項中國專利申請。計畫團隊持續透過研發優化、數據分析至多元應用推廣，逐步擴大計畫影響面。藉由中央到地方共同推動，從環境至產業跨域加值，將水聯網融入生活，把水質數據透明化，用科技改善環境品質，讓民眾有感。

中文關鍵字

物聯網、水質感測、自動校準、水質模式、涵容能力

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	112即時線上水質感測技術開發計畫_成果報告(定稿本).pdf	25MB	112即時線上水質感測技術開發計畫_成果報告(本文定稿)	2024/1/30 上午 12:00:00

摘要	For enhancing and continuing applications of water IoT project with the Ministry of Environment (MOENV), the project team reviewed previous R＆D accomplishments and focused on improving the deficiencies in sensor, expanding the application areas, conducting diverse field verifications, and exploring commercialization opportunities this year. The main purpose of this project is concentrated on four areas: (1) Analyzing global trends in environmental IoT and water sensing components including collect international cases of water IoT in various contexts; compare water quality and water quantity sensing methods with mature technologies; propose applicable sensing technologies and equipment for different fields; and suggest R&D application directions. (2) Optimizing water quality sensors and components as achieve automatic calibration functions for optical sensing equipment; design micrometer-level pre-processing and electrode auto-cleaning devices; expand fixed equipment sensing components; and develop small residual chlorine sensors. Completed assignments including verification in actual field settings or real water samples. (3) Boosting watershed management and civilian applications: In the law enforcement technology, resolve three inspection complaints, resulting 3.04 million units in total fine. In water quality modeling, estimates the carrying capacity of the Nan-Kan river's upstream and midstream, analyze pollution situations and establish pollution reduction plans. In sewage plant energy-saving strategies, employ sensors for sensing in sewage treatment plant procedures, analyze energy-saving and carbon reduction control strategies. (4) Project results dissemination: six papers published in Journal or conferences and one Chinese patent application filed. The project team continues to promote expansion through R&D optimization, data analysis, and diverse applications to gradually increasing the project's influence. Through concerted efforts from central to local levels, bridging environmental and industrial sectors, integrating water IoT into daily life, enhancing water quality data transparency, using technology to improve environmental quality, and let public feel the impact.
英文關鍵字	IoT, Water quality sensing, Auto tuning, Water quality model, Carrying capacity

摘要

For enhancing and continuing applications of water IoT project with the Ministry of Environment (MOENV), the project team reviewed previous R＆D accomplishments and focused on improving the deficiencies in sensor, expanding the application areas, conducting diverse field verifications, and exploring commercialization opportunities this year. The main purpose of this project is concentrated on four areas: (1) Analyzing global trends in environmental IoT and water sensing components including collect international cases of water IoT in various contexts; compare water quality and water quantity sensing methods with mature technologies; propose applicable sensing technologies and equipment for different fields; and suggest R&D application directions. (2) Optimizing water quality sensors and components as achieve automatic calibration functions for optical sensing equipment; design micrometer-level pre-processing and electrode auto-cleaning devices; expand fixed equipment sensing components; and develop small residual chlorine sensors. Completed assignments including verification in actual field settings or real water samples. (3) Boosting watershed management and civilian applications: In the law enforcement technology, resolve three inspection complaints, resulting 3.04 million units in total fine. In water quality modeling, estimates the carrying capacity of the Nan-Kan river's upstream and midstream, analyze pollution situations and establish pollution reduction plans. In sewage plant energy-saving strategies, employ sensors for sensing in sewage treatment plant procedures, analyze energy-saving and carbon reduction control strategies. (4) Project results dissemination: six papers published in Journal or conferences and one Chinese patent application filed. The project team continues to promote expansion through R&D optimization, data analysis, and diverse applications to gradually increasing the project's influence. Through concerted efforts from central to local levels, bridging environmental and industrial sectors, integrating water IoT into daily life, enhancing water quality data transparency, using technology to improve environmental quality, and let public feel the impact.

英文關鍵字

IoT, Water quality sensing, Auto tuning, Water quality model, Carrying capacity