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基于基准网稳定性检验的自动化监测系统研究

马彦凤 常梦雅 樊海青 肖红

地理空间信息2024,Vol.22Issue(3):104-109,6.
地理空间信息2024,Vol.22Issue(3):104-109,6.

基于基准网稳定性检验的自动化监测系统研究

Research on Automatic Monitoring System Based on Benchmark Network Stability Test

马彦凤 1常梦雅 1樊海青 2肖红1

作者信息

  • 1. 广东省测绘工程有限公司,广东 广州 510700
  • 2. 广东省国土资源测绘院,广东 广州 510700
  • 折叠

摘要

Abstract

The existing automatic monitoring systems generally do not consider the influence of reference network deformation and environmen-tal factors on the monitoring data,and the reliability of automatic monitoring result is relatively low.In view of the above problems,we adopted the average gap method to check the stability of reference network,identified and updated the moving points in the reference network,and designed experiment to verify the reliability of algorithm.The result showed that the influence of displacement and deformation of station on the monitoring results was much higher than the deformation of a single rear-sighted reference point.Then,we designed a fixed reference differential correction algorithm to correct the influence of meteorological environmental factors on the slope distance,height difference and horizontal angle of monitoring point in real time,and designed an experimental plan simulating the actual working conditions of engineering site to test the feasi-bility of this algorithm.We applied the two algorithms to an automatic monitoring project of foundation pit,and compared the automatic monitor-ing data corrected by algorithms and the manual calibration data to verify the adaptability and reliability of two algorithms.These algorithms can greatly improve the monitoring accuracy of automatic monitoring system,and provide a reference for the automatic monitoring system optimiza-tion based on the measuring robot.

关键词

测量机器人/稳定性检验/平均间隙法/差分改正

Key words

measuring robot/stability test/average gap method/differential correction

分类

测绘与仪器

引用本文复制引用

马彦凤,常梦雅,樊海青,肖红..基于基准网稳定性检验的自动化监测系统研究[J].地理空间信息,2024,22(3):104-109,6.

基金项目

广东省科技计划资助项目(2018B020207002). (2018B020207002)

地理空间信息

OACSTPCD

1672-4623

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