裂缝计监测滑坡变形数据实时过滤方法及应用  

Real Time Filtering Method and Application of Landslide Deformation Data Monitored By Crack Meter

作　　者：曹汝亮 亓星 杨浪 刘焕 CAO Ruliang;QI Xing;YANG Lang;LIU Huan(School of Civil Engineering,Sichuan University of Science&Engineering,Zigong 643000,China)

机构地区：[1]四川轻化工大学土木工程学院,四川自贡643000

出　　处：《四川轻化工大学学报（自然科学版）》2023年第4期80-87,共8页Journal of Sichuan University of Science & Engineering(Natural Science Edition)

基　　金：四川省科技厅重点研发项目(21ZDYF2842);地质灾害防治与地质环境保护国家重点实验室开放基金项目(SKLGP2022K008);四川矿产资源研究中心开放基金项目(SCKCZY2022-YB017)。

摘　　要：为解决滑坡预警过程中因监测误差导致变形监测系统产生误报的情况,以黑方台陈家6号和党川4号滑坡裂缝计监测数据为对象进行数据过滤。首先,基于格拉布斯准则构建变形数据过滤模型;然后,结合实际情况与试验分析,选择格拉布斯过滤模型中所用的参数,其中样本数为3,显著值为0.05;最后,将监测数据导入格拉布斯数据过滤模型中,实现裂缝计累计位移数据的实时过滤。结果表明:陈家6号和党川4号累计位移数据波动分别减少了65.82%和69.46%,累计位移-时间曲线得到了较好的平滑,且预报不存在明显滞后情况,有效降低了预警误报。该研究结果对后续变形监测数据过滤的深入研究和实际应用具有重要的参考价值。In order to solve the situation that the deformation monitoring system generates false alarm due to monitoring errors in the process of landslide warning,the data filtering is carried out with the monitoring data of Heifangtai Chenjia No.6 and Dangchuan No.4 landslide crack meter.Firstly,the deformation data filtering model is constructed based on the Grubbs criterion;then,the parameters used in the Grubbs filtering model are selected by combining the actual situation with the experimental analysis,where the sample number is 3 and the significant value is 0.05;finally,the monitoring data are imported into the Grubbs data filtering model to realize the real time filtering of the cumulative displacement data of the crack meter.The results show that the fluctuations of cumulative displacement data of Chenjia 6 and Dangchuan 4 are reduced by 65.82%and 69.46%,respectively,and the cumulative displacement-time curve is smoothed out better,and there is no obvious lag in the forecast,which effectively reduced the early warning false alarm.The results of this study have important reference value for the in-depth research and practical application of subsequent deformation monitoring data filtering.

关 键 词：滑坡 裂缝计 实时过滤 格拉布斯准则 数据波动 

分 类 号：P642.22[天文地球—工程地质学]