基于非等时距灰色线性组合模型的边坡变形数据处理研究

Study on Data Processing of Slope Deformation Based on Non-equal Interval Gray Linear Combination Model

受监测环境影响,边坡变形的非等时距监测数据采集时有发生,为实现工程中监测数据非等时距的等间隔化,保证数据分析的有效性,基于灰色线性组合模型,对非等时距监测数据进行等间隔化处理,建立了非等时距灰色线性组合模型。依托某一边坡工程,基于现场实测数据,采用非等时距灰色线性组合模型进行预测,结果表明预测结果和实际数据误差在1 mm以内,拟合值与实测值接近且拟合精度比传统模型高,这为解决存在非等时距监测数据的边坡变形预测问题提供了一条有效途径。

Affected by the monitoring environment,the collection of the non-equal interval monitoring data of the slope deformation occurs from time to time.In order to make the interval between the non-equal interval of the monitoring data in the engineering equal and ensure the effectiveness of the data analysis,based on the gray linear combination models,the non-equal interval monitoring data were processed at equal intervals,and the non-equal interval grey linear combination model was established in this paper.Relying on a slope project,the non-equal interval gray linear combination model was used to predict based on field test data.The results showed that the error between prediction results and actual data was within 1 mm.The fitting value was close to the measured value and the accuracy was higher than that of the traditional model.This article provides an effective way to solve the problem of slope deformation prediction of non-equal interval monitoring data.