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趙洪鵬^1 , 2 ,  楊   珍^1 , 2 ,  唐彬元^{1 , 2}

 

( 1 .  青海省地質測繪地理信息院 ，青海 西寧 810000 ;

2.  青海省高原測繪地理信息新技術重點實驗室 ，青海 西寧 810000)

摘   要 ：常規地基沉降變形預測方法在建立預測模型時，忽略了觀測數據列的隨機性影響，降低模型收斂 速度 ，導致預測準確度較低，因此，提出基于無人機測繪技術的高層建筑地基沉降變形灰線性預測方法。利用 無人機測繪技術采集地基平面圖數據并配準，校正偏移圖像，在此基礎上利用灰色理論構建預測模型，通過累加觀測數據 ，強化數據內在規律，淡化觀測數據列的隨機性影響，加快模型收斂速度，并通過沉降變形數值擬 合曲線實現地基沉降變形預測。結果證明：所提方法對于預測地基沉降變形得到的預測準確度較高。

關鍵詞：無人機測繪技術 ；高層建筑 ；地基 ；沉降變形 ；預測方法

中圖分類號：TU198           

文獻標志碼：A           

文章編號： 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

作者簡介：趙洪鵬  (1986—) ,  男 ，藏族 ，本科 ，工程師 ，研究方向：大地測量 、工程測量 、不動產測繪 、遙感應用 、地理信息等。

收稿日期：2024- 01 - 21