基于模糊聚类分析的高速铁路CPII加密网基准点检验研究

Datum testing of high-speed railway densified CPII network based on fuzzy clustering analysis

CPII加密网是高速铁路线路控制网的一部分,测量精度要求较高,联测基准点较多,如何有效筛选相对稳定的基准点进行约束平差成为CPII加密网测量中一个关键的问题。本文采用模糊聚类分析方法,利用基准点两期数据间的相似程度和相关关系,建立模糊等价矩阵,并根据不同变形水平值得到基准点的模糊分类结果,达到检验基准点稳定性的目的。试验结果证明,该方法是正确的、可行的,可以用于高速铁路CPII加密网基准点的稳定性检验。

The densified CPII network is an important part of the line control network in high speed railway surveying,which has the characteristics of high precision as well as many connecting datum points.How to effectively choose the stable datum points to take adjustment is a critical problem in the densified CPII network survey.On the basis of using fuzzy clustering analysis method,this paper proposes a method about datum testing of CPII points which uses the similarity and relationship of the adjustment results from two periods to set up the fuzzy equivalence matrix and to determine the fuzzy classification results of datum points based on different deformation values.The testing example validates that the method is correct and can be used to identify the stability of CPII points.The method proposed in this paper can be widely used in the densified CPII network project.