摘要
目前,常规的高速公路高边坡变形监测方法主要通过在边坡附近布设传感设备,从而获取边坡位移数据。由于缺乏对监测点位的最优化处理,导致了监测精度不佳。对此,提出了基于深层水平位移的高速公路高边坡变形精准监测方法。首先,对监测点位和控制点位进行布设,并结合灰色关联法,计算点位关联度,实现监测点位数量的最优化处理。然后,对采集到的边坡变形数据进行异常值剔除处理。最后,通过构建损失函数,以结构化风险最小为原则,实现了对边坡变形的位移监测。在实验中,对提出的方法进行了边坡监测精度的检验。实验结果表明,采用提出的方法对边坡进行监测时,水平位移监测的误差值较低,具备较为理想的监测效果。
At present,the conventional method for monitoring highway slope deformation relies on deploying sensing equipment near the slope to obtain displacement data,which leads to poor monitoring accuracy due to the lack of optimal processing of monitoring points.In this regard,an accurate monitoring method of highway slope deformation based on deep horizontal displacement is proposed.Firstly,the monitoring points and control points are laid out,and the correlation degree of the points is calculated by combining the gray correlation method and realized the optimal processing of the number of monitoring points.Then the collected slope deformation data are processed to eliminate the abnormal values,and finally the displacement monitoring of slope deformation is realized by constructing the loss function with the principle of minimizing the structured risk.In the experiment,the proposed method is tested for the accuracy of slope monitoring.The results show that the proposed method yields low the horizontal displacement monitoring error value and has a more ideal monitoring effect.
出处
《上海公路》
2023年第4期16-21,I0008,共7页
Shanghai Highways
关键词
水平位移
边坡变形
位移监测
三维激光技术
horizontal displacement
slope deformation
displacement monitoring
3D laser technology