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

LU Yun-feng, TAN De-bao, LIU Yong, ZHAN Jian, ZHOU Yun-long

Journal of Changjiang River Scientific Research Institute ›› 2019, Vol. 36 ›› Issue (12) : 157-163.

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Journal of Changjiang River Scientific Research Institute ›› 2019, Vol. 36 ›› Issue (12) : 157-163. DOI: 10.11988/ckyyb.20190850
INSTRUMENTATION DEVELOPMENT AND TESTING TECHNIQUES

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
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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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LU Yun-feng, TAN De-bao, LIU Yong, ZHAN Jian, ZHOU Yun-long. Method and Practice of Interior Topographic Detection of Large Caisson in Deep Water[J]. Journal of Changjiang River Scientific Research Institute. 2019, 36(12): 157-163 https://doi.org/10.11988/ckyyb.20190850

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