此篇論文中提出了一個新的環境監管規則衝突偵測方法，其運用於偵測智慧環境中使用者所制定的各種服務（在此稱為「規則」）。不同於傳統的偵測方法，此篇論文考量時間的因素，使具有時間感知的規則也能夠進行偵測。當考慮到時間的關係，這可能會使得原本衝突的規則變成有機會發生衝突或是不發生衝突，而且這也將會影響到整個系統的運作。我們基於特徵交互作用將衝突類型分成矛盾以及循環兩種，並且將時間因素也考慮到衝突類型當中，再針對這兩種衝突分別進行偵測。在矛盾這類型的衝突中，此篇論文利用時間邏輯的歸結原理來找出矛盾的規則；在循環這類型的衝突中，此篇論文將規則轉換成圖，然後再利用深度優先搜索找出圖中的返回邊，若是有返回邊存在也就能說明圖中存在著循環。此方法主要有兩個優點，第一個是在不考慮時間因素的傳統規則中，能夠有效的偵測出衝突。第二個是考慮時間因素的時間感知規則中，也能夠有效的偵測出衝突。在我們的實驗中，除了在模擬的規則資料庫中進行偵測外，我們也針對在實際的農業養殖場域中所使用的規則資料庫進行偵測。我們所提出的方法成功的偵測出智慧環境中使用者所制定的服務。

A novel temporal-aware conflict detection method for environmental regulation which is used to detect the various services (referred to as “rules”) prescribed by users in a smart environment is proposed in this thesis. This method is different from the traditional detection methods. This thesis considers the temporal-aware so that temporal rules can be detected. When we take the temporal relationship into account, it is possible that the conflicting rules are turned into opportunistic conflicting rules or non-conflicting rules, and it also affects the operation of the entire system. We divide the conflict type into contradiction and cycle based on the feature interaction and take the temporal relationship into account, and then detect these two kinds of conflict types. In the conflict type of contradiction, this thesis uses the temporal resolution to detection conflicting rules. In the conflict type of cycle, this thesis transforms the rules into graphs, and then detect the cycles through the depth-first search (DFS) to find back edges. This method has two main advantages, the first one is that the conflict can be detected among the traditional rules which do not consider the temporal. The second is that the conflict can be effectively detected among the temporal rules. In our experiments, in addition to detecting in simulated rule databases, we also detect the rule databases used in the real greenhouse. The method we proposed successfully detect the services prescribed by the users in the intelligent environment.

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