基于卫星遥感数据的恶劣气象监测预警系统设计
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临沂市气象局

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The Design of Severe Weather Monitoring and Early Warning System Based on Satellite Remote Sensing Data
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    摘要:

    针对传统恶劣气象监测预警系统的检测准确率低、预警时效性较差的问题,提出基于卫星遥感数据的恶劣气象监测预警系统。利用GDAL软件自带的读写功能,处理已读取的遥感影像基本信息,再根据辐射定标与亮温计算数值,完成卫星遥感影像的预处理模块设计。连接插件模块的逻辑结构,利用待集成的平台插件,控制下级遥感信息显示与预警模块,实现恶劣气象监测预警系统的设计与应用。按照系统多线程的同步与通信关系,完成遥感数据的云识别处理,实现卫星遥感程序与恶劣气象监测预警模块之间的实时交互。选取风向指标作为实验对象,分析对比实验数据可知,在不同风向条件下,卫星遥感型监测系统所检测出的风向指标均呈现显著性状态,能够及时响应系统主机的预警指令。

    Abstract:

    Aiming at the problems of low detection accuracy and poor early warning timeliness of traditional severe weather monitoring and early warning systems, a severe weather monitoring and early warning system based on satellite remote sensing data is proposed. Use the read-write function of the GDAL software to process the basic information of the remote sensing image that has been read, and then calculate the value based on the radiation calibration and brightness temperature to complete the pre-processing module design of the satellite remote sensing image. Connect the logical structure of the plug-in module, and use the platform plug-in to be integrated to control the lower-level remote sensing information display and early warning module to realize the design and application of the severe weather monitoring and early warning system. According to the system's multi-threaded synchronization and communication relationship, the cloud recognition processing of remote sensing data is completed, and the real-time interaction between the satellite remote sensing program and the severe weather monitoring and early warning module is realized. The wind direction indicator is selected as the experimental object, and the analysis and comparison of experimental data shows that under different wind direction conditions, the wind direction indicators detected by the satellite remote sensing monitoring system are in a significant state and can respond to the early warning commands of the system host in a timely manner.

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吴瑾,崔沂峰,姜紫阳,傅学振,孙齐,杨昆.基于卫星遥感数据的恶劣气象监测预警系统设计计算机测量与控制[J].,2022,30(5):1-5.

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  • 收稿日期:2021-09-24
  • 最后修改日期:2021-11-24
  • 录用日期:2021-11-26
  • 在线发布日期: 2022-05-25
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