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混合LS-TLS的GM(1,1)模型在基坑水平位移监测中的应用
引用本文:刘小龙,;邱卫宁,;杨克明,;刘一江.混合LS-TLS的GM(1,1)模型在基坑水平位移监测中的应用[J].测绘信息与工程,2014(6):36-38.
作者姓名:刘小龙  ;邱卫宁  ;杨克明  ;刘一江
作者单位:[1]武汉大学测绘学院;武汉市珞喻路129号430079; [2]宁夏公路勘察设计院有限责任公司,银川市清和南街15号750004; [3]中宁县测绘设计工作室,中卫市富康花园路109号755100; [4]武汉大学灾害监测与防治研究中心,武汉市珞喻路129号430079
基金项目:国家自然科学基金资助项目(41174010,41374011); 宁夏回族自治区交通运输厅科技资金资助项目
摘    要:通过分析传统GM(1,1)模型的局限性,提出了混合整体最小二乘法(混合LS-TLS)的GM(1,1)模型,并将其应用于宁夏某深基坑水平位移的监测中。同时,将此模型与最小二乘法(LS)的GM(1,1)模型及整体最小二乘法(TLS)的GM(1,1)模型进行了对比,分析了3种模型所求水平位移的预测值。结果表明,混合LS-TLS的GM(1,1)模型更符合工程实际,预测精度更高,在深基坑水平位移监测中具有一定的实用性。

关 键 词:混合整体最小二乘法  GM(1  1)模型  深基坑水平位移  预测结果分析

Application of GM(1,1) Model Based on Combined LS-TLS in the Horizontal Displacement Monitoring of Foundation Pit
Institution:LIU Xiaolong, QIU Weining, YANG Keming, LIU Yijiang ( 1 School of Geodesy and Geomaties, Wuhan University. 129 Luoyu Road, Wuhan 430079. China ; 2 Ningxia Highway Survey and Design Institute Duty Company, 15 South Qinghe Street, Ningxia 750004, China; 3 Zhongning Geodesy and Geomaties Design Studio in Ningxia, 109 Fukang Garden Road, Zhongwei 755100, China ; 4 Research Center of Hazard Monitoring and Prevention , Wuhan University, 129 Luovu Road, Wuhan 430079, China )
Abstract:GM (1,1)model based on combined total least squares (combined LS-TLS) is proposed by analyzing the limitations of traditional GM ( 1,1 ), and it is applied to the horizontal displacement monitoring in a deep foundation pit engineering of Ningxia. Meanwhile, we contrast the proposed model against the traditional GM (1,1)model based on least squares (LS), and the total least squares (TLS), and analyze the prediction of horizontal displacement. Results show that GM ( 1,1 ) model of combined LS-TLS is more fit with engineering practice with a higher precision of prediction, and more practical in the horizontal displacement monitoring of deep foundation pit engineering.
Keywords:combined total least squares  GM ( 1  1 ) model  the horizontal displacement monitoring of deep foundation pit engineering  results and analysis of precision
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