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標題: | 基於視覺資訊與行動不便者優先之電梯排程研究 Vision Based Elevator Priority Scheduling for People with Mobility Impairment |
作者: | Wei Han 韓維 |
指導教授: | 謝尚賢(Shang-Hsien Hsieh) |
關鍵字: | 弱勢族群,深度學習,圖像分析,物件辨識,多目標追蹤,排程, People with Special Needs,Deep Learning,Image Analysis,Object Detection,Scheduling,Multi-object tracking, |
出版年 : | 2020 |
學位: | 碩士 |
摘要: | 根據WHO提供的統計數據,世界上約有1%的人是輪椅使用者。現有研究表明,輪椅使用者比其他人等待電梯的時間更長。同樣,乘坐電梯是輪椅使用者在樓層之間移動的唯一選擇。但是,電梯系統卻將行動不便人士與其他普通乘客視為相同重要的服務目標。因此,本文提出了一種優先排程演算法,欲建立一個優先服務行動不便人士的電梯系統。近年來,隨著電腦視覺的發展,加強了大部分建築物都有安裝的監視器的功能,能更自動化的捕捉乘客的訊息。借助監視器提供的影像,本文使用Faster R-CNN 和 DeepSORT 來收集乘客的等候時間、人數及類型。而乘客的服務權重由乘客對於電梯的需求程度所決定,也就是依據乘客的類型。例如,行動不便乘客應有較高於一般乘客的服務權重。利用上述的關鍵資訊,本文利用演算法對電梯排程進行最佳化,增進電梯排程的效率以及加入乘客服務優先順序的宗旨。另外,電梯優先排程系統以本研究所開發的電梯模擬器對各種人流進行了實驗。實驗結果顯示本文所提出的電梯優先排程系統的乘客平均等待時間優於傳統電梯排程系統。另外,不同的乘客類型於本文排程系統中的權重是由設計者設定的。因此,本文利用實驗顯現了電梯優先排程演算法在考慮不同人流條件與乘客權重時的電梯效能表現,指出不同人流情況下所適合的乘客類型權重設定。 According to the statistics provided by the WHO, about 1% of people in the world are wheelchair users. Existing study indicates that wheelchair users wait for the elevator for longer time than others; also, taking the elevator is the only option for wheelchair users to travel across floors. However, elevator systems, the most important vertical transportation system in buildings, regard people with mobility difficulties the same as other passengers. Therefore, this thesis proposes an elevator priority scheduling (EPS) system to establish a priority service elevator system. With the progress of computer vision in recent years, the surveillance cameras, which are already installed in most buildings, are powerful for capturing the information of occupants. With video provided by surveillance cameras, this thesis uses Faster R-CNN and DeepSORT to gather the information of passenger waiting time, passenger number, and passenger type. Consequently, passenger priority weights are defined by the passenger types which represent the level of passenger needs. For example, the passengers with mobility impairment should have higher priority weight than normal passengers. This key information allows our priority scheduling algorithm to add the concept of priority service and enhance the efficiency of the elevator system. By using the simulator implemented in this thesis, extensive simulations with various passenger patterns was conducted, and the results indicate that the proposed elevator priority system performs more outstandingly than the traditional elevator system in terms of average waiting time. In the end, the priority weights of passenger types are set by humans; hence, the results of the EPS performing in different passenger patterns show the proper settings of passenger priority weights in each corresponding conditions. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/50332 |
DOI: | 10.6342/NTU202002938 |
全文授權: | 有償授權 |
顯示於系所單位: | 土木工程學系 |
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