基于D-InSAR与概率积分法的开采沉陷监测与预计

Monitoring and Prediction of Mining Subsidence based on D-In SAR and Probability Integral Method

为掌握采动区附近高等级公路的变形趋势,针对传统开采沉陷监测方法存在诸多缺陷的问题,将合成孔径雷达技术(D-In SAR)与概率积分法相结合,提出了一种矿山开采沉陷监测与预计方法。该方法首先利用DIn SAR技术对兖州某矿9308工作面进行了监测和分析,并将监测结果与路面水准测量数据进行了对比,然后基于D-In SAR的监测值,求取了9308工作面非充分采动下的概率积分法预计参数,再根据三下采煤规程对参数进行修正得到工作面全采时的预计参数,最后利用修正后的参数预计出工作面全采对附近高等级公路的影响程度。结果表明D-In SAR技术高精度的优势可以为开采沉陷预计提供可靠的监测数据,该方法可以为实现矿山开采沉陷监测与预计一体化提供有力支持。

In order to obtain the deformation law of high grade highway near mining area and overcome the limitations of traditional mining subsidence monitoring methods,a mining subsidence monitoring and predicting method based on the combination of the Differential SAR Interferometry（ D-In SAR） technique and probability integral method was presented. The D-InSAR technology was used to monitor and analyze the subsidence trend of the 9308 working face in Yanzhou,and the monitor results were compared with leveling data. Before modifying the prediction parameters into sufficiency mining condition,the probability integral method parameters of the 9308 working face under insufficiency mining were calculated using D-In SAR monitoring results. Then the influence of high grade highway due to coal mining was predicted using the modified prediction parameters. Experimental results verified that D-In SAR technology had high monitoring accuracy which can provide reliable data for the prediction of mining subsidence,and this method could provide strong support to realize the integration of monitoring and prediction of mining subsidence.