摘要
高边坡稳定性是影响黄土地区高速公路运营安全的关键问题。本文结合延黄高速公路工程,采用GNSS形变监测技术,通过对23处代表性监测点位的水平位移、垂直位移等实时监测数据进行综合分析,结合地表累计位移、位移速率等宏观表现建立预警信息数据模型,构建了一套针对黄土地区高边坡的全自动化监测预警体系,实现对高边坡监测数据的实时分析和预警判别,满足了全天候自动化监测的需求,为高速公路的安全运营提供了可靠的数据支撑和技术保障。
High slope stability is a key issue affecting the operational safety of highways in loess areas.Combined with the Yanhuang Expressway project,this paper adopts the GNSS deformation monitoring technology to build a set of fully automated monitoring and early warning system for high slopes in loess areas by comprehensively analysing the real-time monitoring data such as horizontal and vertical displacements of 23 representative monitoring points,and establishing an early-warning information data model by combining the cumulative displacement of the ground surface and the macro-expression of the rate of displacement,etc.,so as to realise real-time analysis and early-warning judgment of the monitoring data for high slopes to satisfy the needs of the loess plateau region.Real-time analysis and early-warning discrimination of high slope monitoring data is achieved,which meets the demand of all-weather automatic monitoring and provides reliable data support and technical guarantee for the safe operation of highways.
作者
张凯
倪祥瑞
张鑫
ZHANG Kai;NI Xiangrui;ZHANG Xin(Gezhouba Group Transportation Investment Co.,Ltd.,Wuhan Hubei 430030,China)
出处
《交通节能与环保》
2024年第3期153-156,共4页
Transport Energy Conservation & Environmental Protection
