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煤层底板破坏深度的确定是煤层底板是否发生突水的重要决定因素,因此对煤矿深部煤炭开采中煤层底板破坏深度的预测对于煤层底板承压水突出危险性程度判别具有重要意义,基于人工神经网络,在考虑底板破坏各影响因素作用的同时,通过对大量样本数据的分析处理,预测了陈四楼煤矿21201工作面、21301工作面以及2408工作面的底板破坏深度分别为11.67、13.61、14.1 m。并得到了底板破坏深度和采深关系的预测公式。
The determination of the depth of coal seam floor destruction is an important determinant of water inrush from the coal seam floor. Therefore, the prediction of the depth of coal seam floor destruction in deep coal mining is of great significance for judging the dangerous degree of outburst pressure of coal seam floor. Based on Artificial Neural Network , Taking into account the role of the bottom of the destruction of the impact of factors at the same time, through a large number of sample data analysis and processing, prediction of the Chen Sihou coal mine 21,201 face, 21301 face and 2408 face floor depth of the failure were 11.67,13.61,14.1 m . And the prediction formula of the relationship between the depth of floor destruction and the mining depth has been obtained.