关键词: 开采沉陷, 概率积分法, GPS-RTK, 下沉盆地

Abstract: The pylons foundation subsidence dynamic prediction and monitoring method in a mining area are studied.Firstly,based on the dynamic prediction principle of surface subsidence of probability integral theory,the high-voltage power lines pylons foundation subsidence dynamic prediction method is designed,the subsidence values and inclined values of the central points of the high-voltage power lines pylons foundation in different periods are predicted dynamically,based on some relative specifications of the operation of high-voltage power lines,the safety levels of the high-voltage power lines pylons are analyzed;then,the displacement of the basic points of the high-voltage power lines pylons in the research area are monitored by adopting GPS-RTK,the calculation method of the inclined values of high-voltage power lines pylons based on the principle of plane fitting is proposed;finally,the comparison of actual measures values (subsidence values and inclined values) and prediction values are conducted to analyze the feasibility of the high-voltage power lines pylons foundation subsidence dynamic prediction method proposed in this paper.The experimental results show that the differences of the prediction values (subsidence values and inclined values) of the high-voltage power line pylons that are located in the central area of the subsidence basin is small,on the contrary,the differences of the prediction values (subsidence values and inclined values) of the high-voltage power lines pylons that are near the edge of the subsidence basin are obvious.The experimental results further indicated that the high-voltage power lines pylons foundation subsidence dynamic prediction and monitoring data processing method proposed in this paper is practicable,under the allowing conditions,it is suggested that the observation method which precision is higher than RTK can be used in the monitoring process of the high-voltage power lines pylons that are near the edge of the subsidence basin.

Key words: Mining subsidence, Probability integral method, GPS-RTK, Subsidence basin