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基于HHO-ELM模型的导水裂隙带高度预测方法

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为了精确预测滨湖煤矿16煤开采导水裂隙带发育高度,收集华北煤田31个下组煤开采工作面实测数据,选取采高、采深、煤层倾角、倾向长度、硬岩比例系数5个因素进行综合分析.运用哈里斯鹰算法(HHO)优化ELM神经网络,构建了HHO-ELM导水裂隙带高度预测模型,将其应用于滨湖煤矿导水裂隙带高度预计,并将预测结果与规范公式计算结果和实测结果进行对比.结果表明:HHO-ELM模型预测滨湖煤矿21603工作面导水裂隙带发育高度为24.17 m,规范公式计算结果为18.58~29.78 m,实测结果为21.45~22.98 m.可见,采用HHO-ELM模型预计导水裂隙带高度,计算简单,针对性强,预测精度可靠,为滨湖煤矿及相似地质条件下的华北型煤田下组煤开采顶板水害治理决策提供了依据.
Prediction Method of Water-conducting Fractured Zone Height Based on the HHO-ELM Model
In order to accurately predict the development height of water-conducting fracture zone in 16 coal mining of Binhu Coal Mine,the measured data of 31 lower coal mining faces in North China Coal-field were collected,and five factors including mining height,mining depth,coal seam dip angle,tendency length and hard rock ratio coefficient were selected for comprehensive analysis.The Harris Hawk algorithm(HHO)is used to optimize the ELM neural network,and the HHO-ELM water-conducting fracture zone height prediction model is constructed.The model is applied to the prediction of the height of the water-con-ducting fracture zone in Binhu Coal Mine,and the prediction results are compared with the calculation re-sults of the standard formula and the measured results.The results show that the HHO-ELM model predicts that the development height of the water-conducting fracture zone in the 21603 working face of Binhu Coal Mine is 24.17 m,the calculation result of the standard formula is 18.58~29.78 m,and the measured result is 21.45~22.98 m.It can be seen that the model is used to predict the height of the water-conducting fracture zone,which is simple in calculation,strong in pertinence,and reliable in prediction accuracy.It provides a basis for the decision-making of roof water damage control in the lower group of coal mining in Binhu Coal Mine and similar geological conditions in North China Coalfield.

North China coalfiledheight of water-conducting fracture zoneHHO-ELM modelin-jection water leakage measuring metod

鲁伟、张历峰、华伟、吴焘

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枣庄矿业(集团)有限责任公司滨湖煤矿

华北型煤田 导水裂隙带高度 HHO-ELM模型 注水测漏法

2024

现代矿业
中钢集团马鞍山矿山研究院有限公司

现代矿业

影响因子:0.33
ISSN:1674-6082
年,卷(期):2024.40(6)
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