- Chinese Core Periodicals
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| Citation: |
QIAO Meiying, SHI Youqiang. Prediction of rock burst hazard level based on index information fusion[J]. Safety in Coal Mines, 2025, 56（2）: 118−125. DOI: 10.13347/j.cnki.mkaq.20240242
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With the increase of coal mining depth, rock burst occurs frequently, and accurate prediction of rock burst hazard level is very important for coal mine safety mining. However, there are many indicators affecting rock burst, and the data characteristics are different. Aiming at the problem that a single algorithm cannot meet the requirements of different indicators, a prediction method of index information fusion model based on data mining was proposed. The model consists of conditional K nearest neighbor, a Bonus random forest and a weighted voting algorithm. Firstly, the buried depth index is input into the conditional K nearest neighbor algorithm. Then, other indicators were input into the random forest algorithm, and the two algorithms were used to predict the hazard level of rock burst. Finally, the prediction results of these two algorithms are put into the weighted voting algorithm for voting, and the risk level with the highest weighted result is the final danger level. In this paper, data mining and model construction were carried out using 350 samples collected from 10 working faces in Qianqiu Coal Mine from 2010 to 2013. The experimental verification was carried out using 20 sample data collected from 4 working faces in Qianqiu Coal Mine from 2015 to 2016. The results show that the prediction method in this paper has higher prediction accuracy than the traditional prediction method, which provides a certain reference for the early warning of rock burst hazard level in coal mines.
| [1] |
郭文豪,曹安业,温颖远,等. 鄂尔多斯矿区典型厚顶宽煤柱采场冲击地压机理[J]. 采矿与安全工程学报,2021,38(4):720−729.
GUO Wenhao, CAO Anye, WEN Yingyuan, et al. Mechanism of rockburst in stopes with typical thick roof and wide coal pillars in Ordos mining area[J]. Journal of Mining & Safety Engineering, 2021, 38(4): 720−729.
|
| [2] |
GU S T, WANG C Q, JIANGB Y, et al. Field test of rock burst danger based on drilling pulverized coal parameters[J]. Disaster Advances, 2012, 5: 237−240.
|
| [3] |
GB/T 25217.6—2019 冲击地压测定、监测与防治方法 第6部分:钻屑监测方法[S].
|
| [4] |
GB/T 25217.8—2021冲击地压测定、监测与防治方法 第8部分:电磁辐射监测方法[S].
|
| [5] |
王常彬,曹安业,井广成,等. 单轴受载下岩体破裂演化特征的声发射CT成像[J]. 岩石力学与工程学报,2016,35(10):2044−2053.
WANG Changbin, CAO Anye, JING Guangcheng, et al. Evolution characteristics of rock fracture under uniaxial loading by combining acoustic emission and CT imaging[J]. Chinese Journal of Rock Mechanics and Engineering, 2016, 35(10): 2044−2053.
|
| [6] |
潘一山,唐治,李忠华,等. 不同加载速率下煤岩单轴压缩电荷感应规律研究[J]. 地球物理学报,2013,56(3):1043−1048.
PAN Yishan, TANG Zhi, LI Zhonghua, et al. Research on the charge inducing regularity of coal rock at different loading rate in uniaxial compression tests[J]. Chinese Journal of Geophysics, 2013, 56(3): 1043−1048.
|
| [7] |
GB/T 25217.4—2019 冲击地压测定、监测与防治方法 第4部分:微震监测方法[S].
|
| [8] |
刘耀琪,曹安业,王崧玮,等. 基于微震群震动波能量衰减特性的冲击地压危险预测方法[J]. 煤炭学报,2022,47(4):1523−1533.
LIU Yaoqi, CAO Anye, WANG Songwei, et al. Prediction method of coal burst based on attenuation characteristics of seismic cluster energy[J]. Journal of China Coal Society, 2022, 47(4): 1523−1533.
|
| [9] |
孙强,王琪,姚腾飞,等. 唐山矿深部孤岛工作面冲击地压预控技术研究[J]. 矿业科学学报,2019,4(5):410−416.
SUN Qiang, WANG Qi, YAO Tengfei, et al. Study on the pre-control of rock burst in the isolated island face of Tangshan mine[J]. Journalof Mining Science and Technology, 2019, 4(5): 410−416.
|
| [10] |
陈建强,闫瑞兵,刘昆轮. 乌鲁木齐矿区冲击地压危险性评价方法研究[J]. 煤炭科学技术,2018,46(10):22−29.
CHEN Jianqiang, YAN Ruibing, LIU Kunlun. Study on evaluation method of rock burst danger in Urumqi Mining Area[J]. Coal Science and Technology, 2018, 46(10): 22−29.
|
| [11] |
温廷新,陈晓宇,杨红玉,等. 基于优化Bagging-LSSVM模型的冲击地压预测[J]. 中国安全科学学报,2017,27(6):121−126.
WEN Tingxin, CHEN Xiaoyu, YANG Hongyu, et al. Research on prediction of rock burst based on optimized Bagging-LSSVM model[J]. China Safety Science Journal, 2017, 27(6): 121−126.
|
| [12] |
李烨,贾进章. 基于改进GS-SVM的煤矿冲击地压预测研究[J]. 世界科技研究与发展,2016,38(4):758−762.
LI Ye, JIA Jinzhang. Prediction of coal mine rock burst based on improved grid search and support vector machine[J]. World Sci-Tech R & D, 2016, 38(4): 758−762.
|
| [13] |
朱志洁,张宏伟,韩军,等. 基于PCA-BP神经网络的煤与瓦斯突出预测研究[J]. 中国安全科学学报,2013,23(4):45−50.
ZHU Zhijie, ZHANG Hongwei, HAN Jun, et al. Prediction of coal and gas outburst based on PCA-BP neural network[J]. China Safety Science Journal, 2013, 23(4): 45−50.
|
| [14] |
孙继平,程继杰,王云泉. 基于掩埋图像特征的煤矿冲击地压和煤与瓦斯突出感知报警方法[J]. 工矿自动化,2023,49(5):1−6.
SUN Jiping, CHENG Jijie, WANG Yunquan. A perception alarm method for coal mine rock burst and coal and gas outburst based on burial image features[J]. Journal of Mine Automation, 2023, 49(5): 1−6.
|
| [15] |
代高飞. 岩石非线性动力学特征及冲击地压的研究[D]. 重庆:重庆大学,2002.
|
| [16] |
周健,史秀志. 冲击地压危险性等级预测的Fisher判别分析方法[J]. 煤炭学报,2010,35(S1):22−27.
ZHOU Jian, SHI Xiuzhi. Fisher discriminant analysis method for prediction of classification of rock burst risk[J]. Journalof China Coal Society, 2010, 35(S1): 22−27.
|
| [17] |
秦忠诚,赵席侗,詹召伟,等. 深部仰采孤岛工作面初采期间冲击地压防治[J]. 煤矿安全,2023,54(4):111−118.
QIN Zhongcheng, ZHAO Xitong, ZHAN Zhaowei, et al. Prevention of rock burst during initial mining of deep overhand mining island working face[J]. Safety in Coal Mines, 2023, 54(4): 111−118.
|
| [18] |
李鹏. 厚硬顶板冲击地压发生机理及防治实践[J]. 煤矿安全,2023,54(5):211−216.
LI Peng. Mechanism and prevention practice of rock burst in thick and hard roof[J]. Safety in Coal Mines, 2023, 54(5): 211−216.
|
| [19] |
任强,李云鹏,房平,等. 塔然高勒矿区深部开采冲击地压防控实践研究[J]. 煤矿安全,2022,53(2):112−119.
REN Qiang, LI Yunpeng, FANG Ping, et al. Research on rock burst prevention mechanism and practice in Tarangole Deep Mining Area[J]. Safety in Coal Mines, 2022, 53(2): 112−119.
|
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