Construction and Application of “Active Prediction-Passive Warning” Joint Impact Ground Pressure Resilience Prevention System: Take the Kuan Gou Coal Mine as an Example

Abstract With the increasing depth and intensity of coal mining, impact on ground pressure has become one main disasters facing seriously threatening mine safety. Introducing concept toughness urban design, building a joint prevention control system based active prediction analysis risk at back mining face according to geological deposit conditions technology passive warning using monitoring data explore precursor characteristics is an important basis for management engineering significance ensure safe mining. In this paper, firstly, whole working divided into small unit areas, BP neural network model constructed predict analyze each separately, distribution hazard level in different areas derived. Next, FLAC numerical was established stress migration retrieval distances hazard. Finally, trend method, critical value dynamic rate change method were applied determine early indicators Kuan Gou mine, establish comprehensive applicable carry out field application with good effect. The findings paper have scientific reference promoting mines similar China.