摘要
针对变形监测中检验控制网的点位稳定性问题,多期次、多点位平面网稳定性检验,该文提出一种综合的模糊聚类方法。其核心思想是:应用熵权法对控制网中平面坐标进行权比分配后融合,模糊摄动思想的聚类方法将求解等价矩阵与目标函数结合,确定变动周期后再判断控制网中点位稳定程度。基于两个工程实例的结果表明,该方法在多周期、多点位变形监测平面控制网点位稳定性判别中运用灵活、建模科学合理、结果准确可靠,可广泛应用于变形监测中点位稳定性检验中。
It is the basic work of deformation monitoring to check the stability of control network. A comprehensive fuzzy clustering method is proposed to check the stability of multi-period and multi-point plane network.The core idea is:the entropy weight method is used to distribute the weight ratio of the plane coordinates in the control network,and then coordinate fusion is carried out. The clustering method of the fuzzy perturbation idea combines the solution of the equivalent matrix with the objective function,determines the period of change,and then judges the stability degree of the midpoint in the control network.Based on the results of two engineering examples,it is shown that the method is flexible,scientific and reasonable in modeling,accurate and reliable in judging the point stability of multi-period and multi-point deformation monitoring plane control points,and can be widely used in the point stability test of deformation monitoring.
作者
夏晨翕
张献州
罗超
陈旭升
XIA Chenxi;ZHANG Xianzhou;LUO Chao;CHEN Xusheng(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China;State-Province Joint Engineer Laboratory in Spatial Information Technology for High-Speed Railway,Chengdu 611756,China)
出处
《测绘科学》
CSCD
北大核心
2020年第5期28-35,48,共9页
Science of Surveying and Mapping
基金
中央高校基本科研业务费专项资金(SWJTU10ZT02)。
关键词
多期次监测数据
点位稳定性判定
模糊聚类分析
摄动
熵权法
multi-periods monitoring data
judgment of point stability
fuzzy cluster analysis
perturbation
entropy weight method