2018-01-012024-05-18https://scholars.lib.ntu.edu.tw/handle/123456789/704097摘要：本研究建立一巨量資訊網路平台(Big Data Web Platform)，蒐集離岸風場的海氣象資料、離岸風機基樁淘刷、腐蝕、塔架結構監控風機SCADA(Supervisory Control And Data Acquisition)、機艙條件監控(Condition Monitoring System CMS)、風機葉片損傷及電網監控資訊，並在巨量資訊平台上建置巨量資訊資料分析法(Data Analytics)、預兆式診斷與健康管理演算法、人工智慧及數值模擬分析程式，由所蒐集的離岸風場資訊，預測離岸風場及風機局部位置風況及海況、天氣窗期、離岸風機各重要部件健康狀態、風場發電效能及電網併網資訊，以提供離岸風場營運者營運維修與電網聯結的依據。<br> Abstract: A big data web platform will be established to collect the data of wind and sea state, Scouring and corrosion monitoring of foundation pile, monitoring of tower structure, SCADA(Supervisory Control And Data Acquisition) and CMS(Condition Monitoring System CMS) of offshore wind turbine, blade damage and grid. The big data analytics, algorithm of prognostics and health management and artificial intelligent, and numerical modeling program will set up on the big data web platform. The wind and sea state of local wind farm and wind turbine, weather window, health condition of major components of offshore wind turbine, power generation efficiency of offshore wind farm and grid information will be predicted to provide the information to offshore wind farm operators for the operation, maintenance and power grid integration of offshore wind farm.離岸風場巨量資訊網路平台預兆式診斷與健康管理人工智慧營運維修電網併聯Offshore Wind FarmBig Data Web PlatformPrognostic and Health ManagementArtificial IntelligentOperation and MaintenanceGrid Integration