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作 者:柏文锋 闵星 罗海涛 BAI Wenfeng;MIN Xing;LUO Haitao(Guangzhou Metro Design and Research Institute Co.,Ltd.,Guangzhou 510010,China)
机构地区:[1]广州地铁设计研究院股份有限公司,广东广州510010
出 处:《测绘通报》2024年第9期171-174,共4页Bulletin of Surveying and Mapping
基 金:国家重点研发计划(2022YFC3005202)。
摘 要:隧道内气象条件的不一致及变化会对基于智能全站仪的隧道结构形变监测精度产生不利影响。结合隧道的线性地形特征,通过沿监测区域均匀布设若干气象传感器,实时采集温度、气压等信息,并拟合得到其与距离的函数关系,进而获得电磁波到各监测断面的传播路径的平均气象,用于当期对应观测值的改正。利用某隧道环境展开的试验结果表明,利用平均气象进行观测值的改正有助于削弱气象改正代表性误差,提高智能全站仪隧道结构形变监测的可靠性。The inconsistencies and changes of meteorological conditions in tunnel will adversely affect the monitoring accuracy of tunnel structural deformation based on intelligent total station.Combined with the linear terrain characteristics of tunnel,through the uniform deployment of several meteorological sensors along the monitoring area to collect real-time temperature,pressure and other information,and fitting to obtain the functional relationship with distance.Then obtain the average meteorological information of propagation path of electromagnetic wave to each monitoring section for correction of the corresponding observed values.The experimental results of utilizing a tunnel environment show that the correction of observation values by average meteorological information is helpful to reduce the representative error of meteorological correction and improve the reliability of tunnel structural deformation monitoring by intelligent total station.
关 键 词:隧道监测 智能全站仪 折光改正 地形特征 平均气象
分 类 号:P258[天文地球—测绘科学与技术]
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