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针对日常测量工作中所面临的问题,笔者在引入测量机器人之后,对特殊问题进行了整理,并在此基础上自主开发了一套自动监测及数据处理系统,系统集数据采集、预处理、处理和成果输出于一体。本文针对监测中遇到的平差问题进行了分析,重点研究了采用拟稳平差实现对基坑监测数据的处理:先对基准网进行拟稳平差,然后采用经典平差对监测点进行平差,并在对监测点进行监测前,对基准点进行一次监测。这种算法有助于解决特殊环境中的平差问题,并能够对基准网的情况进行实时掌握。
For the daily measurement of the problems faced by the author after the introduction of measurement robots, the special problems were sorted out, and on this basis, developed an automatic monitoring and data processing system, the system sets the data acquisition, pretreatment, processing And the output in one. This paper analyzes the adjustment problems encountered in the monitoring, focusing on the use of quasi-stable adjustment to achieve the foundation pit monitoring data processing: the first quasi-steady adjustment of the benchmark net, and then use the classic adjustment of the monitoring point Adjustment, and in the monitoring points before monitoring, the benchmark for a monitoring. This algorithm helps to solve the problem of adjustment in special circumstances, and can grasp the situation of the benchmark network in real time.