| 基于优化GM(1,1)模型的基坑位移监测数据预测方法 |
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| 引用本文： | 陈兵.基于优化GM(1,1)模型的基坑位移监测数据预测方法[J].测绘与空间地理信息,2020(2):222-224. |
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| 作者姓名： | 陈兵 |
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| 作者单位： | 南京工业大学测绘科学与技术学院 |
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| 摘 要： | 针对GM(1,1)模型预测结果精度低的问题,提出原始序列卡尔曼滤波处理的优化模型方法,结合指数函数构造背景值,进行灰色模型预测分析。结合苏州站综合楼基坑沉降监测结果,探讨了GM(1,1)模型原始序列的选择,分析了优化GM(1,1)模型的精度,验证了优化模型在提高预测精度上的可行性。
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| 关 键 词： | 变形监测 卡尔曼滤波 GM(1 1)模型 |
Pit Displacement Monitoring Data Analysis Method Based on Optimization GM(1,1) Model |
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| CHEN Bing.Pit Displacement Monitoring Data Analysis Method Based on Optimization GM(1,1) Model[J].Geomatics & Spatial Information Technology,2020(2):222-224. |
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| Authors: | CHEN Bing |
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| Institution: | (School of Geomatics Science and Technology,Nanjing Tech University,Nanjing 210000,China) |
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| Abstract: | For the low prediction accuracy of GM(1,1) model,an advanced model is proposed based on Kalman filter processed original sequence and exponential function constructing background. Taking the deformation monitoring of the foundation pit of comprehensive building in Suzhou railway station as an example,the selection of the original sequence of the GM(1,1) model was discussed,and the accuracy of the optimized GM(1,1) model was analyzed. Then,the feasibility and superiority of the advanced model was verified. |
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| Keywords: | deformation monitoring Kalman filter GM(1 1) model |
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