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  • 學位論文

基於雲端運算結合模糊理論與螞蟻演算法之天氣預警系統

Cloud-Computing Based Integration of Fuzzy and Ant Algorithm for Weather Early-Warning System

指導教授 : 簡銘伸
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摘要


為了有效預防天氣災害和避免傷亡的發生,本研究提出基於雲端運算結合模糊理論與螞蟻演算法之天氣預警系統,包含有雲端資訊擷取與運算架構、天候模糊預警理論和螞蟻演算法來提供災害發生前,系統能作出事先預警之效果,將天然災害所造成的傷害與損失減至最低。 本研究中,提出雲端資訊擷取與運算架構以雲端運算平台為主體,進行24小時天氣天候資料擷取與儲存,其中包含雨量、溫度、濕度等因素。 利用所提出之天候模糊預警理論,於雲端虛擬機器上做天候資料模糊運算,並透過所提出之天候模糊評估,綜合判斷是否須針對特定地點發出預警資訊。在特定地點(例如宜蘭等土石流警戒區)使用螞蟻演算法作運算並作天氣分類。 最後,本系統之實際模擬中,指定區域之天候資料可全天候獲得,相關即時天候變化亦可於五分鐘內獲得更新。系統計算實際取得之天候因素透過所提出之模糊預警理論和螞蟻演算法,如達到一定危險數值便會經由雲端運算平台自動發出警訊給管理者。

並列摘要


In order to prevent that the weather disaster efficacious and the person hurt or die, a Cloud-Computing Based Integration of Fuzzy and Ant Algorithm for Weather Early-Warning System is proposed. The system includes Cloud-Computing structure and weather warning system via fuzzy theory and ant algorithms. The system can provide effect of prediction before occur disaster, decrease hurts and reduce weather disaster. This thesis proposes the cloud information and computing structure in the main of the cloud-computing platform adopt and store the weather factor 24-hour, including temperature, humidity and accumulation rainfall, etc. The weather information calculates in the cloud virtual machine via the fuzzy theory. The system judges the whether in the specific location by the evaluation of the system. The ant algorithms calculate the weather classification in the particular location or area (such as the Yilan and other debris-flow warning area, etc). If the areas have any disaster, warn immediately for the system. At last, the weather information assigns the region that the system can collect data all the day and realistic simulation. The dynamic weather also can obtain immediate renewal in five minute. The system calculates the real weather factor via the fuzzy theory and ant algorithms. If the value of the computation achieves the dangerous value, the system will automatic sent the warning information for user via the cloud-computing platform.

參考文獻


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