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现代矿业 ›› 2022, Vol. 38 ›› Issue (07): 208-.

• 材料·装备 • 上一篇    下一篇

地基干涉雷达实时处理软件设计与开发

李一帆1 杜柏林1 付钰涵2 杨红磊1   

  1. 1. 中国地质大学(北京)土地科学技术学院;2. 中国矿业大学(北京)地球科学与测绘学院
  • 出版日期:2022-07-25 发布日期:2023-06-09
  • 基金资助:
    国家自然科学基金项目(编号:42174026);北京高等学校高水平人才交叉培养毕业设计(创业类)支持计划项目(编号:2019114150406);北京市大学生创新训练项目(编号:202011413076)。

Design and Development of Real-time Processing System for Ground-based Interferometric Radar

LI Yifan1 DU Bailin1 FU Yuhan2 YANG Honglei1   

  1. 1. School of Land Science and Technology,China University of Geosciences (Beijing); 2. School of Earth Sciences and Surveying Engineering,China University of Mining and Technology (Beijing)
  • Online:2022-07-25 Published:2023-06-09

摘要: 地基干涉雷达具有高时空分辨率监测的特点,被广泛地应用到小范围滑坡监测中, 但是数据结果获取效率会影响滑坡监测预警的及时性。GPRI-II 设备是当前常用的地基干涉雷达 设备,但是配套的数据处理软件无图像界面,且只能实现数据采集后处理,不能做到实时处理。针 对配套软件存在的问题,调研了当前已有软件的功能,提出一种地基干涉雷达影像数据的实时处 理流程,并在配套软件的基础上,进行实时处理软件的功能设计,采用Python 语言进行设计和二次 开发,编制了地基干涉雷达实时处理软件。开发的软件具有较好的人机交互界面,采用分组的方 式进行时序分析,克服了整体计算对硬件要求高的问题。以河北马兰庄矿区边坡监测为例进行验 证分析,结果表明,实时处理时单景数据处理时间优于25 s,小于数据采集时间;监测结果精度优 于1 mm,满足形变监测预警的需求。

关键词: GBInSAR , 变形监测, 实时处理, 二次开发

Abstract: Ground-based Interferometric Radar has the characteristics of high spatial-temporal reso⁃ lution monitoring,and is widely used in small-scale landslide monitoring,but the efficiency of data acqui⁃ sition will affect the timeliness of landslide monitoring and early warning. GPRI-II equipment is currently commonly used ground-based Interferometric Radar Equipment,but the supporting data processing soft⁃ ware has no image interface,and can only realize post-processing of data acquisition,not real-time pro⁃ cessing. In view of the problems existing in the supporting software,the functions of the existing software are investigated,and a real-time processing flow of ground-based Interferometric Radar image data is pro⁃ posed. On the basis of the supporting software,the function of the real-time processing software is de⁃ signed,designed and redeveloped with Python language,and the ground-based Interferometric Radar re⁃ al-time processing software is compiled. The developed software has a good human-computer interaction in⁃ terface,and adopts the grouping method for time series analysis,which overcomes the problem of high hardware requirements for overall calculation. Taking the slope monitoring of Malanzhuang mining area in Hebei Province as an example,the results show that the processing time of single scene data in real-time processing is better than 25 seconds and less than the data acquisition time. The accuracy of the monitoring results is better than 1mm,which meets the needs of deformation monitoring and early warning.

Key words: GBInSAR, deformation monitoring, real-time processing, the secondary development