| 融合单视线D-InSAR和BK模型的煤矿地表三维变形动态监测方法 |
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| 引用本文： | 江克贵,王磊,滕超群.融合单视线D-InSAR和BK模型的煤矿地表三维变形动态监测方法[J].武汉大学学报(信息科学版),2023,48(4):620-630. |
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| 作者姓名： | 江克贵 王磊 滕超群 |
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| 作者单位： | 1.安徽理工大学空间信息与测绘工程学院, 安徽 淮南, 232001 |
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| 基金项目： | 国家自然科学基金52074010安徽理工大学2019年研究生创新基金2019CX2079 |
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| 摘 要： | 合成孔径雷达差分干涉测量（differential interferometric synthetic aperture radar, D-InSAR）在获取地表形变的过程中有其特有的监测手段，针对D-InSAR矿区地表三维变形监测的难点，首先，顾及D-InSAR难以获取快速大梯度变形的特性，选取边界拟合度较好的Boltzmann函数模型，结合Knothe时间函数，构建一种BK(Boltzmann-Knothe)模型；然后，由于D-InSAR仅能获取地表沿视线向（line of sight, LOS）的短时段一维变形量，依据地表三维移动变形和LOS向变形的投影关系，结合目标区域地质采矿条件，构建适应短时段单视线向变形的适应度函数；最后，引入烟花算法（fireworks algorithm, FWA），提出了融合单视线D-InSAR和BK模型的煤矿地表三维变形动态监测方法。模拟实验表明，所提方法能够可靠准确地反演出全部开采沉陷动态预计参数，求参相对误差为0.11%～7.51%；在大变形区域，该方法监测的下沉和水平移动与真实值一致。抗差求参实验结果表明，在观测误差或模型参数误差的影响下，该...
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| 关 键 词： | 合成孔径雷达差分干涉测量 开采沉陷 Boltzmann函数 动态预计参数 烟花算法 |
| 收稿时间： | 2021-10-28 |
A Dynamic Monitoring Method of Surface 3D Deformation of Coal Mine Based on Fusion of Single Sight D-InSAR and BK Model |
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| Affiliation: | 1.School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China2.College of Geoscience and Surveying Engineering, China University of Mining and Technology(Beijing), Beijing 100083, China |
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| Abstract: | Objectives Differential interferometric synthetic aperture radar (D-InSAR) has its own unique monitoring methods in acquiring surface deformation. In view of the difficulties in the application of D-InSAR technology in three-dimensional (3D) deformation monitoring of coal mine surface, this paper proposes a dynamic monitoring method based on fusion of single sight D-InSAR and Boltzmann-Knothe (BK) model. Methods First, taking into account the characteristics of D-InSAR that it is difficult to obtain large gradient deformations, the Boltzmann function model with good boundary fit was selected, and BK model was constructed by the fusion of the Knothe time function. Second, due to the decoherence of the time-space baseline and the limitation of D-InSAR principle, it can often only obtain the short-term, one-dimensional deformation of the surface in line of sight (LOS). Therefore, based on the projection relationship between the 3D deformation and the LOS deformation, combined with the geological mining conditions of the target area, the fitness function with non-cumulative deformation was constructed. Finally, a dynamic monitoring method of surface 3D deformation of coal mine based on fusion of single sight D-InSAR and BK model was proposed by introducing the fireworks algorithm (FWA). Results and Conclusions Simulation experiments show that the proposed method can reliably and accurately inverted all dynamic prediction parameters of mining subsidence, and the relative error of the solved parameters was between 0.11% and 7.51%. The subsidence and horizontal movement monitored by this proposed method were consistent with the real values, and the monitoring effect of the PIM-Knothe method was distorted. The results of the anti-error experiment show that under the influence of observation error or model parameter error, the overall effect of the solved parameters by the method in this paper was better, and the ability to resist errors was shown to a certain extent. The proposed method was applied to the 13121 working face of Gubei Mine in Huainan, and the surface 3D deformation of the coal mine from 2019-10-25 to 2019-12-12 was obtained. The conversion of short-term D-InSAR observation to 3D deformation dynamic monitoring based on the proposed method was realized, and the monitoring results were more consistent with the surface movement and deformation measured by the observation station. The reliability and scientificity of the dynamic prediction method for solving the surface 3D deformation of coal seam based on D-InSAR technology has been verified. |
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