陈四楼煤矿煤层底板导水破坏深度预测

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。

Prediction of Damage Depth of Coal Seam Floor Water-flowing in Chensilou Coal Mine

The determination of coal floor damage depth is an important decision factor of whether the water-bursting happened in coal seam floor,so the damage depth prediction of coal seam floor in coal mine deep mining has an important meaning for dangerous degree discrimination of coal floor confined water burst.Based on the BP neural network,and considering all factors that effect floor damage,through the analysis and processing of a large number of samples data,the paper predicted the floor damage depths of 21201 working face,21301 working face and 2408 working face in Chensilou Coal Mine were 11.67 m,13.61 m and 14.1 m.Finally,the paper got forecasting formula between floor damage depth and mining depth.