沟谷区浅埋煤层矿压显现时空特征辨识及预测方法研究

doi:10.3724/1000-6915.jrme.2025.0057

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Abstract The Western mining area has emerged as a crucial “ballast stone” for ensuring China?s energy security. Accurately identifying and predicting the spatiotemporal characteristics of mining pressure is essential for the safe extraction of shallow coal seams in this region. The interplay between temporal stress evolution in the mining area and spatial differences in the support system, due to the absence of key layers in the uphill section, complicates the manifestation of mining pressure in shallow valley-buried working faces. To address the low predictive accuracy caused by the nonlinear and differentiated distribution of stope data in these shallow coal seam working faces, this paper proposes an intelligent prediction method for ground pressure in valley mining faces. This method factors in the physical constraints of the “inclined bench rock beam” type and the spatiotemporal characteristics of support pressure data, while also accounting for the absence of the main key stratum. Initially, a theoretical model of the “inclined step rock beam” with missing key stratum is established. The model integrates data analysis techniques such as principal component analysis, kernel density estimation, and the DBSCAN clustering algorithm to clarify the spatiotemporal correlation between complex static operating parameters—such as slope angle and working face location—and the local strengthening effect of support pressure. Subsequently, an improved TFT architecture deep learning prediction model for mining pressure is developed, incorporating spatiotemporal correlation features and static metadata. Results indicate that the absence of the main key stratum is the primary controlling factor for mining pressure manifestation in the uphill section of shallow buried working faces in valley areas. Stress concentration occurs in the middle of the working face during this process. By introducing static metadata such as slope angle and working face location, along with the spatiotemporal mechanism of differential support pressure, the prediction accuracy of mining pressure is significantly improved. Compared with particle swarm optimization support vector machine (PSO-SVM), LSTM, and other mining pressure prediction algorithms, the R² value increased by up to 28% and the RMSE decreased by up to 64.9%. This provides a valuable reference for recognizing spatiotemporal characteristics and issuing intelligent warnings for mining pressure in shallow buried working faces in western valley areas.

Key words： mining engineering;valley area;shallow buried coal seam;mining pressure spatiotemporal fusion;intelligent prediction

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	Articles by authors
	XU Huicong1
	2
	LAI Xingping1
	2
	SHAN Pengfei1
	2
	GUO Zhong?an3
	XUE Ke3
	YAN Zhongming2
	4
	WANG Huachuan1
	5
	XU Gang2
	MENG Zheng2

Cite this article:

XU Huicong1,2,LAI Xingping1, et al. Research on spatiotemporal characteristics perception and prediction methods of shallow buried coal seam mining pressure in valley areas[J]. , 2025, 44(6): 1450-1465.

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https://rockmech.whrsm.ac.cn/EN/10.3724/1000-6915.jrme.2025.0057 OR https://rockmech.whrsm.ac.cn/EN/Y2025/V44/I6/1450

[15]	罗香玉，刘俊豹，罗颖骁，等. 基于时空关联分析的采煤工作面顶板压力预测方法[J]. 工矿自动化，2022，48(1)：85-90.(LUO Xiangyu，LIU Junbao，LUO Yingxiao，et al. Roof pressure prediction method of coal working face based on spatiotemporal correlation analysis[J]. Journal of Mine Automation，2022，48(1)：85-90.(in Chinese))
[1]	潘一山，代连朋. 煤矿冲击地压发生理论公式[J]. 煤炭学报，2021，46(3)：789-799.(PAN Yishan，DAI Lianpeng. Theoretical formula of rock burst in coal mines[J]. Journal of China Coal Society，2021，46(3)：789-799.(in Chinese))
[2]	许慧聪，来兴平，单鹏飞，等. 深部煤岩动力灾害多场耦合试验系统研制及应用[J]. 岩石力学与工程学报，2025，44(4)：926-939.(XU Huicong，LAI Xingping，SHAN Pengfei，et al. Development and application of multi-field coupling test system for deep coal rock dynamic disaster[J]. Chinese Journal of Rock Mechanics and Engineering，2025，44(4)：926-939.(in Chinese))
[16]	柴敬，张锐新，欧阳一博，等. 基于贝叶斯算法优化的CatBoost矿压显现预测[J]. 工矿自动化，2023，49(7)：83-91.(CHAI Jing，ZHANG Ruixin，OUYANG Yibo，et al. CatBoost mine pressure appearance prediction based on Bayesian algorithm optimization[J]. Journal of Mine Automation，2023，49(7)：83-91.(in Chinese))
[3]	罗文，余伊河，王文. 神东矿区综采工作面过同层位空巷强矿压显现机制及控制方法研究[J]. 煤炭学报，2024，49(8)：3 335- 3 352.(LUO Wen，YU Yihe，WANG Wen. Mechanism and control of strong mine pressure in fully mechanized mining face of Shendong mining area when crossing abandoned roadways in the same coal seam[J]. Journal of China Coal Society，2024，49(8)：3 335-3 352.(in Chinese))
[17]	尹希文，徐刚，刘前进，等. 基于支架载荷的矿压双周期分析预测方法[J]. 煤炭学报，2021，46(10)：3 116-3 126.(YIN Xiwen，XU Gang，LIU Qianjin，et al. Method of double-cycle analysis and prediction for rock pressure based on the support load[J]. Journal of China Coal Society，2021，46(10)：3 116-3 126.(in Chinese))
[4]	邬建宏，潘俊锋，冯美华，等. 顶板不同区域压裂程度覆岩采动响应特征研究[J]. 煤炭学报，2024，49(11)：4 351-4 364.(WU Jianhong，PAN Junfeng，FENG Meihua，et al. Study on the response characteristics of overlying rock mining with different levels of fracturing in different areas of the roof[J]. Journal of China Coal Society，2024，49(11)：4 351-4 364.(in Chinese))
[18]	巩师鑫，任怀伟，杜毅博，等. 基于MRDA-FLPEM集成算法的综采工作面矿压迁移预测[J]. 煤炭学报，2021，46(增1)：529-538.(GONG Shixin，REN Huaiwei，DU Yibo，et al. Transfer prediction of underground pressure for fully mechanized mining face based on MRDA-FLPEM integrated algorithm[J]. Journal of China Coal Society，2021，46(Supp.1)：529-538.(in Chinese))
[5]	吴文达，柏建彪，王襄禹，等. 煤柱群下回采工作面强矿压显现机制研究[J]. 采矿与安全工程学报，2023，40(3)：563-571.(WU Wenda，BAI Jianbiao，WANG Xiangyu，et al. Study on mechanism of strong pressure behaviors in working face under residual coal pillars[J]. Journal of Mining and Safety Engineering，2023，40(3)：563-571.(in Chinese))
[19]	袁亮，王恩元，马衍坤，等. 我国煤岩动力灾害研究进展及面临的科技难题[J]. 煤炭学报，2023，48(5)：1 825-1 845.(YUAN Liang，WANG Enyuan，MA Yankun，et al. Research progress of coal and rock dynamic disasters and scientific and technological problems in China[J]. Journal of China Coal Society，2023，48(5)：1 825-1 845.(in Chinese))
[6]	郑凯歌，王林涛，李彬刚，等. 坚硬顶板强矿压动力灾害演化机制与超前区域防治技术[J]. 煤田地质与勘探，2022，50(8)：62-71.(ZHENG Kaige，WANG Lintao，LI Bingang，et al. Dynamic disaster evolution mechanism of high mine pressure at hard roof and advance area prevention and control technology[J]. Coal Geology and Exploration，2022，50(8)：62-71.(in Chinese))
[20]	刘杰，王恩元，赵恩来，等. 深部工作面采动应力场分布变化规律实测研究[J]. 采矿与安全工程学报，2014，31(1)：60-65.(LIU Jie，WANG Enyuan，ZHAO Enlai，et al. Distribution and variation of mining-induced stress field in deep workface[J]. Journal of Mining and Safety Engineering，2014，31(1)：60-65.(in Chinese))
[7]	黄庆享. 浅埋煤层的矿压特征与浅埋煤层定义[J]. 岩石力学与工程学报，2002，21(8)：1 174-1 177.(HUANG Qingxiang. Ground pressure behavior and definition of shallow seams[J]. Chinese Journal of Rock Mechanics and Engineering，2002，21(8)：1 174-1 177.(in Chinese))
[21]	黄庆享，周金龙，马龙涛，等. 近浅埋煤层大采高工作面双关键层结构分析[J]. 煤炭学报，2017，42(10)：2 504-2 510.(HUANG Qingxiang，ZHOU Jinlong，MA Longtao，et al. Double key strata structure analysis of large mining height longwall face in nearly shallow coal seam[J]. Journal of China Coal Society，2017，42(10)：2 504-2 510.(in Chinese))
[8]	孟永兵，黄庆享，贺雁鹏，等. 浅埋近距离煤层工作面过平行煤柱开采强矿压显现规律[J]. 西安科技大学学报，2024，44(2)：245-255.(MENG Yongbing，HUANG Qingxiang，HE Yanpeng，et al. Manifestation law of strong mine pressure in shallow-buried close-range coal seam working face through parallel coal pillar mining[J]. Journal of Xi?an University of Science and Technology，2024，44(2)：245-255.(in Chinese))
[22]	LIM B，ARIK S O，LOEFF N，et al. Temporal fusion transformers for interpretable multi-horizon time series forecasting[J]. International Journal of Forecasting，2021，37(4)：1 748-1 764.
[9]	黄庆享，高翔宇，贺雁鹏，等. 浅埋近距离煤层工作面过末采煤柱覆岩结构及动载传递规律研究[J]. 采矿与安全工程学报，2023，40(3)：517-524.(HUANG Qingxiang，GAO Xiangyu，HE Yanpeng，et al. Research on strata structure and dynamic load transfer of under coal pillars of last mining section in shallow and close coal seams[J]. Journal of Mining and Safety Engineering，2023，40(3)：517-524.(in Chinese))
[10]	刘长友，李建伟，赵杰，等. 沟谷区域浅埋厚煤层开采动载矿压机制及覆岩导气裂缝分布特征[J]. 采矿与安全工程学报，2023，40(5)：965-971.(LIU Changyou，LI Jianwei，ZHAO Jie，et al. Dynamic strata pressure mechanism and distribution characteristics of overburden air leakage fissures in the condition of shallow thick coal seam in gully area[J]. Journal of Mining and Safety Engineering，2023，40(5)：965-971.(in Chinese))
[11]	张杰，龙晶晶，杨涛，等. 浅埋煤层沟谷下开采动载机制研究[J]. 采矿与安全工程学报，2019，36(6)：1 222-1 227.(ZHANG Jie，LONG Jingjing，YANG Tao，et al. Study on dynamic loading mechanism of mining in gully area of shallow coal seam[J]. Journal of Mining and Safety Engineering，2019，36(6)：1 222-1 227.(in Chinese))
[12]	许家林，朱卫兵，王晓振，等. 沟谷地形对浅埋煤层开采矿压显现的影响机制[J]. 煤炭学报，2012，37(2)：179-185.(XU Jialin，ZHU Weibing，WANG Xiaozhen，et al. Influencing mechanism of gully terrain on ground pressure behaviors in shallow seam longwall mining[J]. Journal of China Coal Society，2012，37(2)：179-185.(in Chinese))
[13]	杨登峰，张拥军，王盛，等. 浅埋煤层顶板隐伏断层倾角对矿压显现影响分析[J]. 采矿与岩层控制工程学报，2020，2(4)：72-82.(YANG Dengfeng，ZHANG Yongjun，WANG Sheng，et al. Analysis of the influence of hidden fault dip angle on ground pressure behavior in shallow seam roof[J]. Journal of Mining and Strata Control Engineering，2020，2(4)：72-82.(in Chinese))
[14]	陈毅琪，刘长友，刘锦荣，等. 时空特征统一建模的支架阻力连续性分类及来压特征研究[J]. 采矿与安全工程学报，2024，41(6)：1 202-1 211.(CHEN Yiqi，LIU Changyou，LIU Jinrong，et al. Support pressure continuity classification and mine pressure characteristics by unifying spatiotemporal characteristics modeling[J]. Journal of Mining and Safety Engineering，2024，41(6)：1 202-1 211.(in Chinese))
[15]	罗香玉，刘俊豹，罗颖骁，等. 基于时空关联分析的采煤工作面顶板压力预测方法[J]. 工矿自动化，2022，48(1)：85-90.(LUO Xiangyu，LIU Junbao，LUO Yingxiao，et al. Roof pressure prediction method of coal working face based on spatiotemporal correlation analysis[J]. Journal of Mine Automation，2022，48(1)：85-90.(in Chinese))
[16]	柴敬，张锐新，欧阳一博，等. 基于贝叶斯算法优化的CatBoost矿压显现预测[J]. 工矿自动化，2023，49(7)：83-91.(CHAI Jing，ZHANG Ruixin，OUYANG Yibo，et al. CatBoost mine pressure appearance prediction based on Bayesian algorithm optimization[J]. Journal of Mine Automation，2023，49(7)：83-91.(in Chinese))
[17]	尹希文，徐刚，刘前进，等. 基于支架载荷的矿压双周期分析预测方法[J]. 煤炭学报，2021，46(10)：3 116-3 126.(YIN Xiwen，XU Gang，LIU Qianjin，et al. Method of double-cycle analysis and prediction for rock pressure based on the support load[J]. Journal of China Coal Society，2021，46(10)：3 116-3 126.(in Chinese))
[18]	巩师鑫，任怀伟，杜毅博，等. 基于MRDA-FLPEM集成算法的综采工作面矿压迁移预测[J]. 煤炭学报，2021，46(增1)：529-538.(GONG Shixin，REN Huaiwei，DU Yibo，et al. Transfer prediction of underground pressure for fully mechanized mining face based on MRDA-FLPEM integrated algorithm[J]. Journal of China Coal Society，2021，46(Supp.1)：529-538.(in Chinese))
[19]	袁亮，王恩元，马衍坤，等. 我国煤岩动力灾害研究进展及面临的科技难题[J]. 煤炭学报，2023，48(5)：1 825-1 845.(YUAN Liang，WANG Enyuan，MA Yankun，et al. Research progress of coal and rock dynamic disasters and scientific and technological problems in China[J]. Journal of China Coal Society，2023，48(5)：1 825-1 845.(in Chinese))
[20]	刘杰，王恩元，赵恩来，等. 深部工作面采动应力场分布变化规律实测研究[J]. 采矿与安全工程学报，2014，31(1)：60-65.(LIU Jie，WANG Enyuan，ZHAO Enlai，et al. Distribution and variation of mining-induced stress field in deep workface[J]. Journal of Mining and Safety Engineering，2014，31(1)：60-65.(in Chinese))
[21]	黄庆享，周金龙，马龙涛，等. 近浅埋煤层大采高工作面双关键层结构分析[J]. 煤炭学报，2017，42(10)：2 504-2 510.(HUANG Qingxiang，ZHOU Jinlong，MA Longtao，et al. Double key strata structure analysis of large mining height longwall face in nearly shallow coal seam[J]. Journal of China Coal Society，2017，42(10)：2 504-2 510.(in Chinese))
[22]	LIM B，ARIK S O，LOEFF N，et al. Temporal fusion transformers for interpretable multi-horizon time series forecasting[J]. International Journal of Forecasting，2021，37(4)：1 748-1 764.