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作 者:李勇 LI Yong(Heilongjiang Corps,China Building Materials Industry Geological Survey Center,Harbin,Heilongjiang 150040,China)
机构地区:[1]中国建筑材料工业地质勘查中心黑龙江总队,黑龙江哈尔滨150040
出 处:《测绘标准化》2023年第1期98-101,共4页Standardization of Surveying and Mapping
摘 要:为保证地铁工程建设过程中的安全,对地铁车站基坑进行安全监测尤为重要。本文依托某地铁站的基坑变形监测工程实例,对水平位移监测模型进行探讨,针对单因素预测模型变形预测可靠性不高问题,提出适用于水平位移监测数据预测的灰关联组合预测模型,并通过模拟仿真计算对回归模型、AR模型和灰关联组合预测模型的精度进行对比分析。结果表明,灰关联组合模型的预测值比单一模型的预测值更接近实际值,而残差也较小,因此,灰关联组合模型的预测结果更精确。In order to ensure the safety of engineering construction,it is particularly important to monitor the safety of the foundation pit of a metro station.This paper discusses the horizontal displacement monitoring model based on an example of an metro station pit deformation monitoring project,proposes a grey correlation combined prediction model applicable to horizontal displacement monitoring data prediction in view of the low reliability of single factor prediction model deformation prediction,and compares and analyses the accuracy of regression model,AR model and grey correlation combined prediction model through simulation calculation.The results show that the predicted values of the grey correlation combined model are closer to the actual values than those of the single model,and the both residuals errors are smaller,so the prediction results of the combined model are more accurate.
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