Welcome to Metal Mine! Today is Share:
×

扫码分享

Modern Mining ›› 2022, Vol. 38 ›› Issue (07): 208-.

Previous Articles     Next Articles

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

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