摘要
智慧校園是近年來各學校逐漸邁向之目標，更是一個包含雲端服務、IOT、校園大數據等，像微型智慧城市般技術結合之綜合體，本研究以銘傳大學桃園校區為實驗場所，透過學生智慧裝置的無線網路及GPS資訊定位對校內使用者空間分布情形與時空行為模式進行分析與推薦，運用人群分析定義空間特徵模式，更藉由使用者人數與停留時間兩大變數，藉由GPS的歷史紀錄使用Google map作為視覺化紀錄，並使用這些紀錄來進行查詢，推薦其等待時間跟人流分布，加以輸緩並改善人潮壅塞的時間。為了更能理解校園人流分布因素改善推薦時間準確性，再者天氣、校園行事曆上等因素，也納入分析更能了解其人流分布之原因。最後，本研究希望融合數據分析與實際規劃之方式，藉此分析與優化校園的空間使用現況並擴展其功能，創建一個基於數據的智慧服務新校園。
並列摘要
Smart campus is the goal of schools in recent years, it is incloude a cloud-based services, IOT, campus big data, such as micro-intelligent city-like technology combination, this study to Ming Chuan University Taoyuan Campus as a demonstration field, Through the student wireless network and GPS positioning, the spatial distribution situation and space-time behavior pattern of the students are analyzed and recommended, the spatial characteristic pattern is defined by population analysis, due to the history record search is made by the two variables of the number of users and the time of stay, furthermore recommended the waittime and the distribution of the flow of people. Reduce and improve the time of crowd congestion. In order to better understand the factors of the distribution of campus people, This study use the weather, campus calendar analysis to understand of the reasons. Finally, this study hopes to integrate the vision of data analysis and substantive planning ,Use optimize the current state of space use on campus and expand its capabilities to create a new campus of intelligent data-based services.