【摘要】：飛機彈射器是航空母艦上重要裝置之一,它可以幫助航空母艦上的艦載飛機在短距離內(nèi)順利起飛。其中,蒸汽式飛機彈射器在封閉環(huán)境下通過液體沸騰產(chǎn)生蒸汽來推動滑塊做功。在該過程中,當壓強達到最大值時,彈射器打開閥門釋放高壓蒸汽,此時,封閉環(huán)境中壓強迅速減少,液體再次沸騰,即閃蒸現(xiàn)象。閃蒸通常在極短時間內(nèi)迅速發(fā)生,難以觀察和測量,故準確預測閃蒸現(xiàn)象對工業(yè)生產(chǎn)具有重要意義。本文以閃蒸現(xiàn)象為研究對象,重點研究液體中氣泡群的變化趨勢,從而達到準確預測液體閃蒸現(xiàn)象的目的。本文利用CCD圖像傳感器獲取液體圖像短時間內(nèi)的變化數(shù)據(jù),使用圖像處理技術得到相應的二值化圖像數(shù)據(jù),進而達到預測液體氣泡群變化趨勢。在圖像二值化過程中,鑒于所獲取的液體圖像為隨時間變化的一組序列數(shù)據(jù),而已有的圖像二值化方法大多針對單幅圖像進行處理。因此,本文針對序列圖像提出二值化方法,即根據(jù)圖像中目標與背景灰度值的變化動態(tài)選取閾值,獲取準確的二值化結果。進而,在統(tǒng)計學知識的基礎上,利用高斯擬合處理所得的二值化數(shù)據(jù),建立圖像數(shù)據(jù)與液體體積流量的短時間內(nèi)的變化關系,達到預測閃蒸現(xiàn)象的目的。
[Abstract]:Aircraft catapult is one of the important devices on aircraft carrier, which can help the carrier aircraft to take off smoothly in short distance. The steam jet catapult produces steam through liquid boiling in a closed environment to push the slider to do its work. In this process, when the pressure reaches the maximum, the catapult opens the valve to release the high-pressure steam, at this time, the pressure in the closed environment decreases rapidly, the liquid boiling again, that is, flash phenomenon. Flash usually occurs very quickly in a very short time, so it is difficult to observe and measure, so it is very important to predict the phenomenon of flash accurately in industrial production. In this paper, the flash phenomenon is taken as the research object, and the change trend of the bubble group in the liquid is studied in order to accurately predict the liquid flash phenomenon. In this paper, CCD image sensor is used to obtain the change data of liquid image in a short period of time, and the corresponding binary image data are obtained by using image processing technology, and the change trend of liquid bubble group is predicted. In the process of image binarization, given that the obtained liquid image is a series of data varying with time, most of the existing image binarization methods are used to process single image. Therefore, this paper proposes a binarization method for sequential images, in which the threshold value is dynamically selected according to the change of gray value of target and background in the image, and the accurate binarization results are obtained. On the basis of statistical knowledge, the relationship between image data and liquid volume flow rate in a short period of time is established by using the binary data obtained by Gao Si fitting, and the purpose of predicting flash phenomenon is achieved.
【學位授予單位】：哈爾濱工程大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：U674.771;TP391.41

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