Refraction correction of tunnel structure monitoring data based on path meteorological information

doi:10.13474/j.cnki.11-2246.2024.0931

Abstract

Abstract: 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.

Key words: tunnel monitoring, intelligent total station, refraction correction, topographic feature, average meteorologic data

CLC Number:

P258

BAI Wenfeng, MIN Xing, LUO Haitao. Refraction correction of tunnel structure monitoring data based on path meteorological information[J]. Bulletin of Surveying and Mapping, 2024, 0(9): 171-174.

References

[1] 甘淇匀, 周建.国内外隧道监控量测技术发展现状综述[J].地下空间与工程学报, 2019, 15(S1):400-415.
[2] 刘绍堂, 王果, 潘洁晨.测量机器人隧道变形自动监测系统的研究进展[J].测绘工程, 2016, 25(10):42-48.
[3] 夏才初, 那通兴, 张平阳, 等.智能隧道激光收敛仪监测隧道拱顶下沉的原理及其应用[J].现代隧道技术, 2018, 55(2):20-27.
[4] 张思洪, 江德军.高精度地表三维位移自动化监测技术研究与应用[J].长江科学院院报, 2021, 38(1):66-71.
[5] 范本, 胡祝敏, 胡伦俊.基于徕卡测量机器人的山区边坡地质失稳监测研究[J].灾害学, 2020, 35(3):29-33.
[6] 段伟, 王敏, 钟金宁, 等.地铁隧道结构稳定性自动化监测系统的研究与应用[J].测绘通报, 2015(9):91-94.
[7] 赵宁宁, 王嘉伟, 芦斌, 等.光电测量方法在盾构隧道收敛监测中的可行性研究[J].铁道标准设计, 2022, 66(12):111-114.
[8] 黄鸿伟.地铁隧道全站仪自动化监测的技术难点问题及解决方案[J].测绘通报, 2016(8):149-151.
[9] LUO Yanbin, CHEN Jianxun, XI Weizheng, et al.Application of a total station with RDM to monitor tunnel displacement[J].Journal of Performance of Constructed Facilities, 2017, 31(4):04017030.
[10] LUO Yanbin, CHEN Jianxun, XI Weizheng, et al.Analysis of tunnel displacement accuracy with total station[J].Measurement, 2016, 83:29-37.
[11] 罗彦斌, 陈建勋, 翟宇辉.全站仪RDM法与3D量测法量测隧道变形精度对比[J].交通运输工程学报, 2017, 17(3):56-64.
[12] 陈天银, 康明, 胡伍生.地铁运营阶段隧道水平位移测量实施优化探究[J].铁道标准设计, 2017, 61(11):82-85.
[13] 柏文锋.基于智能全站仪的地铁隧道自动化监测精度分析及验证[J].测绘通报, 2018(11):107-110.
[14] 潘国荣, 李伟.多台测量机器人在地铁隧道自动化监测中的开发与应用[J].山东科技大学学报(自然科学版), 2015, 34(2):79-85.
[15] 潘国荣, 李伟.多台测量机器人在自动化监测中的开发应用[J].江苏大学学报(自然科学版), 2016, 37(6):684-690.
[16] 周建国, 赵思琦, 史波, 等.基于测量机器人的大坝外观监测精度影响因素研究[J].人民长江, 2022, 53(9):115-120.
[17] 李建川, 张宇, 史波.高边坡变形监测电磁波测距边长气象改正方法[J].人民长江, 2018, 49(4):56-60.
[18] 王欢, 刘成龙, 杨雪峰, 等.大气折光系数测定及在悬索桥基准索股线形测量中的应用[J].测绘通报, 2019(5):129-133.
[19] 陈优良, 卞焕, 肖钢, 等.测量机器人自动极坐标二次基准差分改正方法[J].测绘科学, 2020, 45(8):33-40.
[20] 武致宇, 张献州, 黎冶, 等.最小二乘拟合的多基准站实时差分改正法[J].测绘科学, 2019, 44(9):29-34.