长江科学院院报 ›› 2019, Vol. 36 ›› Issue (12): 157-163.DOI: 10.11988/ckyyb.20190850

• 仪器设备与测试技术 • 上一篇    下一篇

深水大型沉井内部地形探测方法与实践

芦云峰1, 谭德宝1, 刘勇2, 占建3, 周云龙3   

  1. 1.长江科学院 空间信息技术应用研究所,武汉 430010;
    2.武汉楚航测控科技有限公司,武汉 430074;
    3.无锡市海鹰加科海洋技术有限责任公司,江苏 无锡 214000
  • 收稿日期:2019-07-22 出版日期:2019-12-01 发布日期:2019-12-20
  • 作者简介:芦云峰(1974-),男,湖北枣阳人,高级工程师,硕士,主要从事空间信息技术和流域数学模型研究。E-mail: 06fengyun@163.com
  • 基金资助:
    国家重点研发计划课题项目(2018YFC0407804);国家自然科学基金重点项目(41331174)

Method and Practice of Interior Topographic Detection of Large Caisson in Deep Water

LU Yun-feng1, TAN De-bao1, LIU Yong2, ZHAN Jian3, ZHOU Yun-long3   

  1. 1.Spatial Information Technology Application Department, Yangtze River Scientific Research Institute, Wuhan 430010, China;
    2.Wuhan Chuhang Surveying Sci-Tech Co., Ltd., Wuhan 430074, China;
    3.Wuxi Haiying-Cal Tec Marine Technology Co., Ltd., Wuxi 214000, China
  • Received:2019-07-22 Online:2019-12-01 Published:2019-12-20

摘要: 为了解决沉井施工监控中内部地形探测这一难题,在分析了探测作业环境特点基础上,提出了封闭环境下深水沉井的探测方法,利用三维多波束实时声呐系统在瓯江北口大桥成功采集到沉井内部地形数据。采用GIS技术构建了沉井内部地形三维场景数据,结合测绳探测数据和现阶段沉井取土方案,验证了探测的井底地形高程精度满足施工要求,论证了数据对井底地表形态特征的表达是可信的,表明提出的探测方法是可行的。在分析探测数据过程中发现:结合探测数据图像颜色的明暗和空间几何形态特征,能辨识出不同的取土分区和分布特征,通过GIS技术对取土分区及地形高程进行可视化分析,可以为沉井施工确定取土方式、位置和范围提供辅助数据。

关键词: 沉井, 内部地形, 探测方法, 三维多波束实时声呐系统, GIS技术

Abstract: To tackle the difficulty of topographic detection inside caisson during construction monitoring, we put forward a detection method for deep-water caisson in closed environment based on analyzing the operation environment. The interior topographic data of caisson was successfully captured by 3D multi-beam real time sonar system in the Oujiang Beikou Bridge. The 3D scene data of caisson’s interior topography were constructed by GIS technology. Moreover, according to rope survey data and soil excavation scheme, the accuracy of the detected topographic elevation is verified to meet the construction requirements, and the expression of surface morphology is proved credible, which indicate that the proposed method is feasible. By analyzing the detection data we found that different soil excavation zones can be identified by the brightness and shade of the detection data image with the spatial geometric morphological characteristics. Visual analysis of soil excavation zones and topographic elevation in the assistance of GIS technology will provide auxiliary data for determining the approach, position, and range of soil excavation for caisson construction.

Key words: caisson, interior terrain, detection method, 3D multi-beam real-time sonar system, GIS technique

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