基于静止卫星的MCS自动识别追踪及其航线规避研究
发布时间：2018-07-24 20:23
【摘要】：鉴于MCS天气对航班飞行的安全系数、航班的准点率及空域流量等的影响，本文致力于研究基于卫星云图的MCS自动识别方法，并结合识别方法研究MCS天气下飞机的规避方法，实现MCS天气下，雷暴对航路影响的直观动态监视。 本文采用基于FY-2静止卫星云图的MCS识别方法，，Maddox于1980年根据卫星红外云图上对流云的形状、尺度、生命期提出了中尺度对流云复合体MCC（Mesoscale Convective Complexes）定义。对于此定义我国学者做出更符合我国天气状况的修改。本文基于修改的判别标准，对卫星云图资料进行图像预处理（除噪音等）、图像二值化，然后输入符合中尺度对流云系统的亮温、面积、持续时间等判别依据对卫星云图图像上的云系进行识别与提取，剔除不符合判别条件的云系，从而达到利用计算机软件科学，客观，高效的识别对流云，由于对流云的生成、发展和消亡阶段是连续且动态的。所以，本文还对识别出的MCS进行实时追踪，连续使用判别依据，追踪继续符合判别条件的MCS或者是初生的云团，剔除不再符合条件已经消亡的云团，从而实现对MCS的动态监视作用。利用此方法不仅可以识别出对流云，还可以得到此片云区的多个特征量，如面积大小，边界范围的经纬度，以及强度大小。鉴于上述方法的判别依据过于单一和严格，利用这些特征量数据，本文又提出在基于MCS定义的基础上，用最大空间相关法改进定义判别法，此方法用于MCS的自动追踪时，更具合理性，也更加准确。结合Supermap软件做出的电子航图直观显示出对流云区对航路的影响。计算对流云边界到航路的有效距离，参考我国管制规则中飞机和雷暴的距离要求，划设出飞机应规避的区域，直观的显示其对某一区域飞行流量的影响和限制。从而使现有的气象产品得到有效的利用，使气象预报资料不再孤立，而可以转化为对空管流量的影响。 最后，文章选用FY2E静止气象卫星数据分区图（中国大陆地区）的卫星云图资料为实例的数据来源，并选取此区域范围内的航路加以结合分析，结果表明使用基于静止红外卫星云图的MCS自动识别方法准确率较高。
[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.
【学位授予单位】：中国民用航空飞行学院
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P455;V328.3
[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.
【学位授予单位】：中国民用航空飞行学院
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P455;V328.3
【参考文献】
相关期刊论文 前7条
1 白洁,王洪庆,陶祖钰;GMS卫星红外云图云迹风的反演[J];北京大学学报(自然科学版);1997年01期
2 李玉兰,王婧Z
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