General Technology Group Engineering Design Co. , Ltd.
NASG Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology
School of Environment Science and Spatial Informatics, China University of Mining and Technology

针对塌陷地动态治理亟需解决地面动态沉陷精准预测这一问题,采用理论分析和实测研究相结合的方法,从分析地面点动态沉陷过程为入手,明确了地面点动态沉陷过程中下沉量、下沉速度和下沉加速的变化规律,在此基础上,建立了符合地面点动态沉陷演化过程的基于Hill函数的动态沉陷预测模型,并采用济三煤矿5316工作面、东滩煤矿3307工作面和义能煤矿CG1301工作面的地表沉陷实测资料对模型进行了验证,验证表明各案例的相对中误差均可控制在3%以内,说明此模型能够很好的实现地面点的动态沉陷预测。

In order to meet the urgent need for accurate prediction of ground dynamic subsidence for the dynamic control of subsidence land, theoretical analysis and field measurement are carried out in combination. Starting from the analysis of the dynamic subsidence process of ground points, the variation law of subsidence amount, velocity and acceleration of ground points in the dynamic subsidence process is clarified. On this basis, a dynamic subsidence prediction model based on Hill function is established, which conforms to the evolution process of dynamic subsidence of ground points. The model is verified by the measured data of surface subsidence in the working face of Jining No. 3 Coal Mine, the working face of Dongtan Coal Mine and the CG1301 working face of Yineng Coal Mine. The results show that the relative mean error of each case can be controlled within 3%, indicating that dynamic subsidence prediction of the ground points can be achieved using the proposed model.

通用技术集团科技重大专项资助项目(GTZD-2023-019)

蒋乾,杨向升,郭广礼,等基于Hill函数的动态沉陷预测模型研究[J].煤炭工程,2024,56(10):260-267.