【摘要】：鑒于MCS天氣對(duì)航班飛行的安全系數(shù)、航班的準(zhǔn)點(diǎn)率及空域流量等的影響，本文致力于研究基于衛(wèi)星云圖的MCS自動(dòng)識(shí)別方法，并結(jié)合識(shí)別方法研究MCS天氣下飛機(jī)的規(guī)避方法，實(shí)現(xiàn)MCS天氣下，雷暴對(duì)航路影響的直觀動(dòng)態(tài)監(jiān)視。 本文采用基于FY-2靜止衛(wèi)星云圖的MCS識(shí)別方法，，Maddox于1980年根據(jù)衛(wèi)星紅外云圖上對(duì)流云的形狀、尺度、生命期提出了中尺度對(duì)流云復(fù)合體MCC（Mesoscale Convective Complexes）定義。對(duì)于此定義我國(guó)學(xué)者做出更符合我國(guó)天氣狀況的修改。本文基于修改的判別標(biāo)準(zhǔn)，對(duì)衛(wèi)星云圖資料進(jìn)行圖像預(yù)處理（除噪音等）、圖像二值化，然后輸入符合中尺度對(duì)流云系統(tǒng)的亮溫、面積、持續(xù)時(shí)間等判別依據(jù)對(duì)衛(wèi)星云圖圖像上的云系進(jìn)行識(shí)別與提取，剔除不符合判別條件的云系，從而達(dá)到利用計(jì)算機(jī)軟件科學(xué)，客觀，高效的識(shí)別對(duì)流云，由于對(duì)流云的生成、發(fā)展和消亡階段是連續(xù)且動(dòng)態(tài)的。所以，本文還對(duì)識(shí)別出的MCS進(jìn)行實(shí)時(shí)追蹤，連續(xù)使用判別依據(jù)，追蹤繼續(xù)符合判別條件的MCS或者是初生的云團(tuán)，剔除不再符合條件已經(jīng)消亡的云團(tuán)，從而實(shí)現(xiàn)對(duì)MCS的動(dòng)態(tài)監(jiān)視作用。利用此方法不僅可以識(shí)別出對(duì)流云，還可以得到此片云區(qū)的多個(gè)特征量，如面積大小，邊界范圍的經(jīng)緯度，以及強(qiáng)度大小。鑒于上述方法的判別依據(jù)過(guò)于單一和嚴(yán)格，利用這些特征量數(shù)據(jù)，本文又提出在基于MCS定義的基礎(chǔ)上，用最大空間相關(guān)法改進(jìn)定義判別法，此方法用于MCS的自動(dòng)追蹤時(shí)，更具合理性，也更加準(zhǔn)確。結(jié)合Supermap軟件做出的電子航圖直觀顯示出對(duì)流云區(qū)對(duì)航路的影響。計(jì)算對(duì)流云邊界到航路的有效距離，參考我國(guó)管制規(guī)則中飛機(jī)和雷暴的距離要求，劃設(shè)出飛機(jī)應(yīng)規(guī)避的區(qū)域，直觀的顯示其對(duì)某一區(qū)域飛行流量的影響和限制。從而使現(xiàn)有的氣象產(chǎn)品得到有效的利用，使氣象預(yù)報(bào)資料不再孤立，而可以轉(zhuǎn)化為對(duì)空管流量的影響。 最后，文章選用FY2E靜止氣象衛(wèi)星數(shù)據(jù)分區(qū)圖（中國(guó)大陸地區(qū)）的衛(wèi)星云圖資料為實(shí)例的數(shù)據(jù)來(lái)源，并選取此區(qū)域范圍內(nèi)的航路加以結(jié)合分析，結(jié)果表明使用基于靜止紅外衛(wèi)星云圖的MCS自動(dòng)識(shí)別方法準(zhǔn)確率較高。
[Abstract]:In view of the influence of MCS weather on flight safety factor, flight punctuality and airspace flow, this paper is devoted to the study of MCS automatic recognition method based on satellite cloud image, and combined with the recognition method to study the evading method of aircraft in MCS weather. Realize the direct and dynamic monitoring of the impact of thunderstorm on the navigation route under MCS weather. In this paper, the MCS recognition method based on FY-2 geostationary satellite cloud image is used to define the mesoscale convective cloud complex (MCC (Mesoscale Convective Complexes) in 1980 according to the shape, scale and life period of convective cloud on the satellite infrared cloud image. For this definition of Chinese scholars to make more in line with China's weather conditions. Based on the modified criterion, the image preprocessing (except noise, etc.) of satellite cloud image data is carried out, the image is binarized, and the bright temperature and area of mesoscale convective cloud system are input. The duration of discrimination is based on the recognition and extraction of the cloud system in the satellite cloud image, and the cloud system that does not meet the discriminant condition is eliminated, so that the computer software can be used to identify the convective cloud objectively and efficiently, because of the generation of the convective cloud. The stages of development and extinction are continuous and dynamic. Therefore, this paper also carries on the real-time tracking to the recognized MCS, uses the discriminant basis continuously, tracks the MCS or the primary cloud which continues to meet the discriminant condition, removes the cloud which no longer conforms to the condition already dies, In order to achieve the dynamic monitoring of MCS. By using this method, not only the convective cloud can be identified, but also several characteristic quantities of the cloud region can be obtained, such as the area size, the latitude and longitude of the boundary range, and the intensity. In view of the fact that the discriminant basis of the above method is too single and strict, using these characteristic data, this paper proposes to improve the definition discriminant method by using the maximum spatial correlation method based on the definition of MCS. This method is used in the automatic tracing of MCS. More reasonable and more accurate. The influence of the convective cloud area on the route is shown intuitively by the electronic chart made by Supermap software. By calculating the effective distance from the boundary of the convective cloud to the route and referring to the distance requirement of aircraft and thunderstorm in the control rules of our country, the region to be circumvented by the aircraft is set up, and the influence and limitation of the flight flow on a certain area are shown intuitively. Thus the existing meteorological products can be effectively utilized and the meteorological forecast data can be transformed into the influence on the air traffic flow instead of isolating the meteorological forecast data. Finally, the paper selects the satellite cloud image data of FY2E geostationary meteorological satellite data zoning map (China mainland) as the data source, and selects the navigation route in this area to combine to analyze. The results show that the accuracy of MCS automatic recognition method based on static infrared satellite cloud image is high.
【學(xué)位授予單位】：中國(guó)民用航空飛行學(xué)院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：P455;V328.3

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相關(guān)期刊論文 前7條

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本文編號(hào)：2142551