Structural detection study of mine blanket area based on dynamic 3D deformation prediction

Aiming at addressing the issues of structural parameter inversion and dynamic three-dimensional deformation prediction in mining areas, a method of structural parameter inversion in mining areas based on synthetic aperture radar interferometry is designed by optimising parameter settings and simplifying the calculation process. Meanwhile, a method is proposed to transform the 3D deformation prediction of the mining area into line-of-sight direction deformation prediction, based on the constraint relationship between horizontal movement and vertical deformation gradient, and using spatio-temporal Kalman filtering for spatio-temporal data processing. The outcomes showcase that the absolute errors of 3D deformation parameter prediction are within the interval of 0-63.8 m and the absolute errors are within the range of 0-8 %. The structural parameter inversion method for mining airspace zone proposed by the study has high accuracy and precision in both shape and parameter prediction of the airspace zone, and the prediction errors are all less than 10 %. Compared with the Weibull model, the prediction error of the Kalman filter model is reduced by 8 %, which helps to better understand and predict the deformation of the mine openings. The study offers powerful technical support for the prevention and control of ground deformation and mobile geological disasters caused by mining, which is meaningful for the safe production in mining areas.