摘要
大坝及边坡表面变形监测是水电站安全运行的重要保障.高拱坝、高边坡的温渡、气压、风速、降雨量等环境因素随不同部位不同高程的变化差异大,从而直接影响表面变形监测数据的精度与效率,建立一套高拱坝、高边坡智能表面监测系统是一项重大研究内容.小湾电站具有坝高、库大、地形地质条件复杂、边坡潜在变形失稳模式多样等特点,通过对小湾大坝及枢纽区边坡表面变形监测进行智能化改造,及时、准确、智能的掌握大坝及枢纽区边坡的表面变形情况非常必要.
Abstract
Monitoring the surface deformation of dams and slopes is an important guarantee for the safe operation of hydropower stations.The temperature,air pressure,wind speed,rainfall and other environmental factors of high arch dams and high slopes vary greatly with different elevations in different parts,which directly affects the accuracy and efficiency of surface deformation monitoring data.Establishing an intelligent surface monitoring system for high arch dams and high slopes is a major research topic.Xiaowan Power Station has the characteristics of high dam height,large reservoir,complex terrain and geological conditions,and diverse potential deformation and instability modes of slopes.It is necessary to carry out intelligent transformation of the surface deformation monitoring of Xiaowan Dam and the hub area slope to timely,accurately,and intelligently grasp the surface deformation of the dam and hub area slope.
国家科技期刊平台
NSTL
万方数据