小波阈值粒子群优化算法在边坡变形监测中的应用  

Research on Slope Deformation Monitoring and Early Warning Methods Based on BeiDou Satellite Technology and Wavelet Transform

作　　者：王辉 张兴华 钟文健 WANG Hui;ZHANG Xinghua;ZHONG Wenjian(Guangdong Dachao Expressway Co.,Ltd.,Meizhou Guangdong 514247,China)

机构地区：[1]广东大潮高速公路有限公司,广东梅州514247

出　　处：《广东公路交通》2024年第6期36-40,共5页Guangdong Highway Communications

摘　　要：边坡稳定性对预防地质灾害和保障人民生命财产安全至关重要。北斗卫星导航系统(BDS)因其精度高和自动化程度高被广泛应用于边坡监测,但其易受环境因素影响,导致监测定位精度和可靠性下降。小波分析在非平稳变形监测数据处理中表现出色,但传统小波去噪方法在阈值估计方面存在不足。本文提出的改进小波阈值算法,通过考虑噪声特性和带噪小波系数含噪幅度的函数关系,提高了去噪效果和数据精度。实验结果表明,该方法能有效地剔除高边坡GNSS原始监测数据中的粗差影响,提升监测数据时间序列的稳定性,显著提升监测数据质量。该技术手段为边坡稳定性的评估与预警提供了科学依据,对预防地质灾害具有重要的实际意义。To Ensure the safety of highway road traffic,the monitoring of slope stability is crucial.For slopes with diverse geological characteristics,it is necessary to deploy an intelligent geodetic deformation monitoring system based on BeiDou satellite technology to effectively monitor slope deformation in real-time and establish an early warning mechanism.Additionally,the construction of a comprehensive intelligent sensing network for slopes ensured timely slope treatment to prevent safety accidents.After deploying this system,the noise interference from various environmental factors needed to be addressed.Therefore,this study further incorporated the deformation analysis method based on wavelet transform.Experimental results demonstrated that this method effectively suppressed noise and preserved significant displacement jumps.Furthermore,it accurately retains the characteristics spike points of the signal,thus exhibiting excellent denoising capabilities.In conclusion,the combination of the geodetic deformation intelligent monitoring system based on BeiDou satellite technology and the deformation analysis method using wavelet transform enabled more precise monitoring of slope deformation,which is significant for providing timely warnings and mitigating the occurrence of safety accidents.

关 键 词：变形监测 粒子群优化 小波变换 

分 类 号：U416.222[交通运输工程—道路与铁道工程]