抗差拟稳平差及其在变形网数据处理中的应用

Robust quasi stable adjustment and its application in deformation monitoring network

拟稳平差作为测量数据处理方法之一,在高层建筑物变形监测中具有一定的推广价值;但是,当变形监测基准网监测数据受到污染时,应该依据观测数据的结构,选择不同的权函数,构造合理抗差拟稳平差模型,为变形监测数据处理提供更为科学的方法,通过一高层建筑物变形监测实例说明抗差拟稳平差模型的正确性;计算结果进一步表明,该方法的合理运用会更加符合高层建筑建设实际,为工程建设提供更为切合实际的服务;也可以作为今后相关工程建设变形监测数据处理的参考。

Quasi stable adjustment,as a method of surveying data processing,has certain promotion value in deformation monitoring of high-rise buildings.However,if the deformation monitoring data has been polluted,different weight function based on observation data and reasonable robust quasi stable adjustment model should be chosen so as to provide a more scientific method for deformation monitoring data processing.We have proved robust quasi stable adjustment model with a high-rise building deformation monitoring example.The results show that this method will be more in line with the actual construction of high-rise buildings,and provide more practical information for the project construction.It can be referenced by future deformation monitoring data processing of relevant engineering construction.