煤炭科技2025，Vol.46Issue(6)：202-206,5.DOI:10.19896/j.cnki.mtkj.2025.06.036
基于NOA-CNN的冲击地压预警技术研究
Research on rock burst early warning technology based on NOA-CNN
摘要
Abstract
As a typical geological condition that induces rock burst,hard roofs are characterized by high strength,high bearing capacity,high integrity,and low jointing,posing a serious threat to safe and efficient production in mines.To accurately predict rock burst disas-ters under this geological condition,a NOA-CNN rock burst early warning model was constructed.The NOA algorithm was utilized to optimize three hyperparameters of CNN:learning rate,batch size,and regularization coefficient,with their optimal values being 0.016 3,175,and 0.023 6,respectively.When training the NOA-CNN model,the accuracy rates of its training set and test set were 98.12％and 98.62％respectively.When training the CNN model without hyperparameter optimization,the prediction accuracy rates of both its train-ing set and test set were lower than those of NOA-CNN model,and the false negative rate and false positive rate of CNN model in-creased by 94.4％and 0.2％respectively.Research indicates that the NOA-CNN model excels in mining deeper potential features from microseismic data,delivering superior early warning performance,and is more suitable for predicting rock burst,thereby ensuring coal mine safety.关键词
冲击地压/预警模型/坚硬顶板/矿井安全Key words
rock burst/early warning model/hard roof/coal mine safety分类
矿业与冶金引用本文复制引用
伍冠东,温颖远,李虎威,曹安业,郭文豪,郭继森..基于NOA-CNN的冲击地压预警技术研究[J].煤炭科技,2025,46(6):202-206,5.基金项目
国家自然科学基金资助项目(52274098) （52274098）
国家级大学生创新训练(202410755014) （202410755014）
新疆维吾尔自治区重点研发任务专项(2022B01034) （2022B01034）
校级大学生创新训练计划项目(XJU-SRT-24023) （XJU-SRT-24023）
