本研究建置一套離岸風場巨量資料平台，提供各種功能模組給使用者，達到離岸風場智慧化管理之目標。架構上包括四個模組，分別為動態儀表板模組、資料蒐集模組、資料視覺化模組、資料分析模組。動態儀表板模組提供一個動態編輯介面，以供使用者客製化設計及展示各項視覺化圖表，可以整合不同使用者所開發的成果，使合作及展示的效益最大化。資料蒐集模組建置了巨量資料的檔案系統與資料庫，並提供支援感測資料蒐集之服務，以利使用者上傳蒐集的風力機資訊。資料視覺化模組提供圖表功能，以供使用者自由選擇，對巨量資料進行視覺化呈現。資料分析模組提供機器學習之相關功能，以供使用者對資料進行特徵選取及各種分析。

In this study, a web-based platform was built for providing the function modules to collect and store the big data of wind turbines in the offshore wind farm. These four function modules are called DD (Dynamic Dashboard), DC (Data Collection), DV (Data Visualization), and DA (Data Analysis). The DD module provides an editing interface for users to dynamically present their designed visualizations. It can also integrate the results from different users to benefit their collaborations. The DC module builds file systems and databases for storing big data. It provides a service to collect big data where users can upload their collected data. The DV module provides different plots and charts functions for users to design the visualizations of data. The DA module provides machine learning functions for users to select features and analyze data. Through these modules, we can make an intelligent man-agement of offshore wind farms.