摘要
为研究真实孔径边坡雷达监测数据的可靠性获取方法,分析气象站、稳定参考区校准对大气因素排除的优劣性,根据雷达的相似度云图、振幅云图排除移动车辆及树木摆动等因素的干扰,并通过位移及速度云图识别变形区域的边界,结合位移及速度曲线的圆滑度判断边坡滑坡的可能性。结果表明:通过对大气条件及车辆移动等因素的排除,以及对监测曲线的综合判断,可以最大程度地提高真实孔径边坡雷达监测预警的准确性。
In order to study the reliability acquisition method of radar monitoring data of real aperture slope,the article analyzes the advantages and disadvantages of the elimination of atmospheric factors by the calibration of weather station and stable reference area.According to the similarity and amplitude cloud images of the radar,the article excludes interference of moving vehicles and the swing of trees,identifies the boundary of the deformation area by the displacement and velocity cloud images,judges the possibility of slope landslide by combining the smoothness of displacement and velocity curve.The results show that by excluding factors such as atmospheric conditions and vehicle movement,and the comprehensive judgment of the monitoring curve,we can maximize the accuracy of radar monitoring and warning of real aperture slope.
作者
韦忠跟
王立文
董强
WEI Zhonggen;WANG Liwen;DONG Qiang(China Coal Technology and Engineering Group Shenyang Research Institute,Fushun 113122,China;State Key Laboratory of Coal Mine Safety Technology,Fushun 113122,China;Open-pit Mine,State Power Investment Group Inner Mongolia Baiyinhua Coal and Power Co.,Ltd.,Xilinguole 026209,China)
出处
《露天采矿技术》
CAS
2022年第1期12-15,共4页
Opencast Mining Technology
基金
国家重点研发计划资助项目(2017YFC1503103)。
关键词
真实孔径
边坡雷达
可靠性
监测数据
校准
干扰因素
real aperture
slope radar
reliability
monitoring data
correction
interference factor