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赵洪鹏^1 , 2 ,  杨   珍^1 , 2 ,  唐彬元^{1 , 2}

 

( 1 .  青海省地质测绘地理信息院 ，青海 西宁 810000 ;

2.  青海省高原测绘地理信息新技术重点实验室 ，青海 西宁 810000)

摘   要 ：常规地基沉降变形预测方法在建立预测模型时，忽略了观测数据列的随机性影响，降低模型收敛 速度 ，导致预测准确度较低，因此，提出基于无人机测绘技术的高层建筑地基沉降变形灰线性预测方法。利用 无人机测绘技术采集地基平面图数据并配准，校正偏移图像，在此基础上利用灰色理论构建预测模型，通过累加观测数据 ，强化数据内在规律，淡化观测数据列的随机性影响，加快模型收敛速度，并通过沉降变形数值拟 合曲线实现地基沉降变形预测。结果证明：所提方法对于预测地基沉降变形得到的预测准确度较高。

关键词：无人机测绘技术 ；高层建筑 ；地基 ；沉降变形 ；预测方法

中图分类号：TU198           

文献标志码：A           

文章编号： 1005- 8249   (2024)  04- 0158- 06 

DOI:10. 19860/j.cnki.issn1005 - 8249.2024.04.029

 

ZHAO Hongpeng^{1 , 2}  ,  YANG Zhen^{1 , 2}  ,  TANG Binyuan^{1 , 2}

（ 1 . Qinghai Geological Mapping and Geographic Information Institute ,  Xining 810000 ,  China;

2. Qinghai Provincial Key Laboratory of New Geographic Information Technology for Plateau

Surveying and Mapping ,  Xining 810000 ,  China)

Absrtact: When establishing the prediction model, the conventional foundation deformation and settlement prediction method ignores the randomness of the observation data series, weak generalization ability of the model and poor prediction results, a gray linear prediction method for foundation settlement and deformation of high-rise buildings based on UAV mapping technology is proposed. The UAV surveying and mapping technology is used to collect the foundation image data, register and correct the offset image. On this basis, a gray prediction model is established. Through the accumulation of data, the inherent law of the data is strengthened, the randomness of the observation data column is weakened, the model convergence speed is accelerated, and the foundation settlement deformation prediction is achieved through the settlement deformation numerical fitting curve. The results show that the proposed method has a high prediction accuracy.

Keywords: UAV mapping technology; high rise building; foundation; deformation and settlement; prediction method

作者简介：赵洪鹏  (1986—) ,  男 ，藏族 ，本科 ，工程师 ，研究方向：大地测量 、工程测量 、不动产测绘 、遥感应用 、地理信息等。

收稿日期：2024- 01 - 21