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年度	108	專案性質	非實驗性質
專案類別	研究專案	研究主題	調查
申請機構	國立中央大學	申請系所	應用地質研究所
專案主持人	倪春發	職等/職稱	教授
專案中文名稱	地下水基礎水質即時資料傳輸與空間分析技術研發及模場驗證
中文關鍵字	地下水質,即時資料傳輸,空間分析,即時展示平台,物聯網
專案英文名稱	Development of real-time groundwater quality data transmission and spatial analysis technology and site verification
英文關鍵字	groundwater quality, real-time data transmission, spatial analysis, real-time display platform,IoT
執行金額	800,000元
執行期間	2019/1/1 至 2019/11/30
計畫中文摘要	目前政府致力於發展智慧地下水資源即時監測硬體，但這些即時監測資料仍須配合相關專業分析平台才能發揮最大效用。目前常見之管理平台，大多僅有歷史資料展示功能，並未對監測資料進一步加值分析。為了解決此問題，本工作主要發展目的為：(1) 即時傳輸與即時動態分析平台介接技術開發；(2) 建構即時動態資料庫系統與分析平台動態展示模組；(3) 既有物聯網傳輸技術於地下水質監測系統上之應用評析；(4) 傳輸技術與分析平台於現地場址的測試與評估。本研究選定中央大學井場，以既有五口地下水井作為測試場址；測試期間搭配手持式水質儀和自記式水壓計與無線即時傳輸之監測資料進行驗證。本研究應用遠距離監測技術於台南實際場址，並可即時監測地下水水位與單井基礎水質時序變化。驗證後之無線傳輸技術，結合本研究過去已開發之圖層資訊展示與時序資料分析平台，建置空間參數分佈結構與其之特性分析，進而最大化即時監測資料之運用價值。
計畫英文摘要	With broad investment of smart and real-time monitoring networks for groundwater resources and water quality protection, the collected data need to be integrated with a professional platform to enhance the analysis efficiency and contribute to practical applications. Available platforms mainly focus on the display of historical data. Less value-added implementations were performed based on the monitored real-time data. The objectives of the study are: (1) to develop an efficient interface to bridge real-time monitoring data and dynamic platform; (2) to build, test, and validate the display platform for dynamic database; (3) to assess different IoT technologies on groundwater quality monitoring; (4) to examine the performance of different IoT technologies for field-scale cases. The selected experiment site is located in National Central University. There are five groundwater wells in the test site. During the verification, the real-time monitoring data will be received by wireless devices and validate with the results from direct measurements of water quality. The other test site in Tainan also performed the real-time monitoring to observe the water quality, and the time series data of groundwater levels for wells and the water quality for select singe well were to verify the IoT technologies in this project. The validated real-time monitoring data can be integrated with the dynamic platform to perform real-time spatial analysis and display.