風工程的可視化能夠帶給使用者一個觀察計算流體力學模擬數據的管道，通過將風的流動以等值面、流線與渦度等可視化效果呈現，能夠一眼就看出整個風場的特性，並基於此視角進行城市風場的討論與設計。以往，在布置流場可視化展覽時，受限於場地大小與專業器材的搬遷，在策畫一場展覽時往往需要花費大量時間與金錢，使得風工程教育相較於其他科學教育資源更稀少。故將擴增實境與流場可視化結合，以在節省布置成本的同時，也能用互動式的直覺體驗促進使用者的學習興趣。
本研究透過將客戶端與伺服端分離，來解決移動設備不足以儲存龐大流場資料和運算效能不足的問題，同時利用畫面串流技術串接客戶端與伺服端。客戶端僅負責使用者介面操作與相機移動運算，將計算量較龐大的渲染與檔案載入作業分配在伺服端進行。此外，本系統也對計算流體力學的模擬資料進行壓縮與資料結構切割，據以減少載入時的時間成本，使得客戶端能夠順暢的以30FPS與本系統進行互動。本研究亦針對系統內的各個環節進行實驗，並且設計一個評估標準以決定每個環節中最符合前述系統情境的選擇。另外也設計了一些情境與問題，在進行使用者研究過後，證明此系統確實能夠引起目標使用者的學習興趣，同時增加使用者在學習風場特性時的效率。

The visualization of wind engineering can bring users a way to observe the simulated data of Computational Fluid Dynamics. By presenting the wind flow as contour, streamline, and vorticity, users can see the characteristics of the whole wind field at a glance.Also,discuss and design the urban wind field based on this perspective. In the past, due to the limitation of the size of the venue and the relocation of professional equipment, it often takes a lot of time and money to plan an exhibition, which makes wind engineering education resources scarce compared to other science education resources. Therefore, combining augmented reality with visualization of the flow field can save setup costs while promoting users' interest in learning with interactive and intuitive experiences.
This study solves the problems of insufficient mobile devices for storing large amount of stream data and insufficient computing performance by separating the client side and the server side, and at the same time, using screen streaming technology to connect the client side and the server side. The client side is only responsible for user interface operation and camera movement, while the rendering and file loading operations, which are more computationally intensive, are assigned to the server side. In addition, the system also compresses and cuts the computational fluid dynamics simulation data into custom data structure to reduce the loading time cost, so that the client can interact with the system smoothly at 30FPS. An evaluation criterion was designed to determine the most suitable choice for each session in the aforementioned system context. In addition, some scenarios and questions were designed, and after user studies, the system was proven to be able to arouse the interest of the target users and to increase the efficiency of the users in learning the characteristics of the wind field.

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