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基于灰色新陈代谢模型的建筑物沉降分析
引用本文:王学生,李晓华,王学进.基于灰色新陈代谢模型的建筑物沉降分析[J].江苏测绘,2012(5):43-44,53.
作者姓名:王学生  李晓华  王学进
作者单位:[1]江苏省测绘工程院,江苏南京210013 [2]南京苏地技术工程服务有限公司,江苏南京210031
摘    要:变形监测数据处理有助于及时了解建筑物安全状态。本文在对灰色模型基本理论作阐述的基础上,结合沉降监测实例,采取新陈代谢法对实测数据进行分析与预测,得到了满足精度要求的成果,验证了该方法应用于建筑物沉降分析的可行性。

关 键 词:沉降监测  GM(1    1)  新陈代谢  数据预测

Building Subsidence Analysis Based on the Grey Metabolism Model
WANG Xue-sheng,LI Xiao-hua,WANG Xue-jin.Building Subsidence Analysis Based on the Grey Metabolism Model[J].Jiangsu Surveying and Mapping,2012(5):43-44,53.
Authors:WANG Xue-sheng  LI Xiao-hua  WANG Xue-jin
Institution:1 Jiangsu Province Surveying and Mapping Engineering Institute, Nanjing Jiangsu 210013, China 2 Nanjing Sudi Tdchnology Engineering Services Co. , Ltd. , Nanjing Jiangsu 210031, China)
Abstract:Deformation monitoring data processing is important for mastering the safe state of buildings. First, the basic theory of grey model was illustrated in this paper. Then, combining one subsidence monitoring for example, the metabolism model was adopted for analysis and forecast on monitoring data. Based on the result, this method has been verified to satisfy the accuracy requirement and has been feasible for the building subsidence analysis.
Keywords:subsidence monitoring  GM (1  1)  metabolism  data forecast
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