空天地一体化监测联合反演开采沉陷概率积分预计参数研究

Parameter inversion of mining subsidence probability integration prediction method based on space-air-ground integrated monitoring

煤炭开采引发的地表沉陷需要通过合适的手段对其进行有效监测。针对传统差分干涉测量难以监测地表大梯度形变、无人机技术无法对矿区边缘进行高精度监测的难题,提出融合DInSAR和无人机两种非等精度的监测技术,采用地面传统测量实测进行验证,将三种数据的优势进行互补,实现矿区的高精度监测。使用融合后的数据对华阳集团一矿81403工作面的概率积分参数进行反演。结果表明,反演的参数结果与实测参数结果基本接近。

The surface subsidence caused by coal mining activities needs to be effectively monitored by appropriate means. Aiming at the difficulty in monitoring the large gradient deformation of the surface using traditional Differential Interferometric Synthetic Aperture Radar(DInSAR) technology, and the fact that UAV technology cannot monitor the edge of the mining area with high precision. The integration of the two non-equal-precision monitoring technologies, DInSAR and UAV, was proposed, whose result was verified by the traditional ground measurement. The advantages of the three data can complement each others’ disadvantages to achieve high-precision monitoring of the mining area. The probability integral parameters of coal panel 81403 in the Huayang Coal Mine are inversed using the fused data. The results show that the inversion parameter results are close to the measured parameter results.