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维纳过程在基坑变形监测数据处理中的应用
引用本文:胡俊.维纳过程在基坑变形监测数据处理中的应用[J].测绘与空间地理信息,2017(6):151-153.
作者姓名:胡俊
作者单位:广东省有色地质测绘院,广东广州,510000
摘    要:基坑监测是保证基坑工程安全施工和运行的重要手段。基坑的变形受到较多外部因素的影响,很难用力学模型或经验公式进行计算和预测。本文引入维纳过程对基坑变形数据进行建模,然后,在历史监测数据的基础上利用卡尔曼滤波对基坑变形进行预测。应用实际监测数据和基于维纳过程的预测模型,进行了某基坑监测数据的预测实验。结果表明,该方法能够根据历史监测数据进行较为准确、高效的预测。

关 键 词:维纳过程  基坑监测  卡尔曼滤波  变形预测

Application of Wiener Process in Monitoring Data Analysis and Deformation Prediction of Foundation Pit
HU Jun.Application of Wiener Process in Monitoring Data Analysis and Deformation Prediction of Foundation Pit[J].Geomatics & Spatial Information Technology,2017(6):151-153.
Authors:HU Jun
Abstract:Foundation monitoring were necessary methods to ensure the safety of implementation and construction of foundation engineering.External variables has a big influence on foundation pit deformation,also it is difficult to utilize mechanics models and empirical formula to predict the deformation.In this paper,we model the foundation pit deformation data with Wiener process,then use Kalman filter to predict the future deformation based on historical deformation data.A practical foundation pit deformation prediction is provided to substantiate the superiority of the proposed model.The results show that our developed model can provide accurate estimation of future foundation pit deformation.
Keywords:Wiener process  foundation pit monitoring  Kalman filtering  deformation forecast
本文献已被 CNKI 维普 万方数据 等数据库收录!
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