近十年來質點影像速度儀(Particle Image Velocimetry)已發展成熟為一流場觀察方法且應用於各種流場觀測實驗。本文將利用不同於現階段最廣泛運用於船模流場觀察實驗之多孔式皮托管，建立一個具非入侵性及瞬時平面測量特性的移動式質點影像速度儀觀測系統以應用於拖航水槽之船模拖航實驗中，藉此技術觀測船模周圍之流場。
　　本文討論建立此系統之技術及實驗方法，設備的架置方式和配置為一可調性調整之開放式架構，質點施放方法以一自製的施放架於實驗前先佈置於測試段中，並制定一實驗流程規範，再分別針對實驗所得滑航型及排水量型船模的流線方向及切流線方向各不同位置及船速之速度進行流場分析；實驗結果發現不同船型會造成不同的實驗困難：船形上突起之龍骨及V形船底會遮住照明光線，可利用較深之導管調整光頁角度改善；而淺色船模表面會造成光線的不均勻，可以更改船模塗裝顏色改善；高速實驗的氣泡會不定點的遮住光線，須先除去無資料區域並使用更多資料組數來改善。

　In the last decade, Particle Image Velocimetry (PIV) as another non-intrusive optical measurement technique has become a mature flow velocity measuring method. In this study, PIV which is different from multiple Pitot tubes applied generally in ships’ flow field survey was built successfully in a towing tank to observe velocity fields near a ship model.
　The experimental method and arrangements of all adjustable devices and instruments on the carriage were discussed in this article. A particle- seeding device was fixed in front of the carriage to seed particles uniformly in test area in advance. After tries and errors, a special techniques and a standard procedure for conducting experiments were established. Then, the flow fields of two kinds of ship models, yacht and HSVA, in the streamwise and cross-streamwise directions were used to compare the difference between them.
　At last, all related problems due to ship type and towing speed influencing the quality of captured images and results were discussed. A ship model with V-shape bottom and protruding keel might cause some disadvantages for PIV measurements. The use of longer laser light ducts extending deeper is a possible solution. A ship model with light yellow paint will cause the unproportionate of light and will cause white background on captured images. It is suggested to re-paint the ship model in black or dark colors to solve this problem. In high-speed test conditions, a ship model’s bow waves entrain large amount of air bubbles into water and those bubbles will block the view of camera causing some random black spots in the images. Thus, it is necessary to remove the useless black spot data and repeat the same test condition if statistics requires enough number of images.

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