基于基准网稳定性检验的自动化监测系统研究OACSTPCD

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.