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International Journal of Coal Science & Technology 2024年第1期11卷 31-41页

作者： Ayush Sahu Satish Sinha Haider Banka Department of CSE IIT(ISM)DhanbadJharkhand826004India Department of Sustainability Adani universityAhmedabadGujrat382421India

One of the most dangerous safety hazard in underground coal mines is roof falls during retreat *** falls may cause life-threatening and non-fatal injuries to miners and impede mining and transportation *** a result,a reliable roof fall prediction model is essential to tackle such *** parameters that substantially impact roof falls are ill-defined and intangible,making this an uncertain and challenging research *** National Institute for Occupational Safety and Health assembled a national database of roof performance from 37 coal mines to explore the factors contributing to roof *** acquired for 37 mines is limited due to several restrictions,which increased the likelihood of *** logic is a technique for coping with ambiguity,incompleteness,and ***,In this paper,the fuzzy inference method is presented,which employs a genetic algorithm to create fuzzy rules based on 109 records of roof fall data and pattern search to refine the membership functions of *** performance of the deployed model is evaluated using statistical measures such as the Root-Mean-Square Error,Mean-Absolute-Error,and coefficient of determination(R_(2)).Based on these criteria,the suggested model outperforms the existing models to precisely predict roof fall rates using fewer fuzzy rules.

关键词： Underground coal mining roof fall Fuzzy logic Genetic algorithm

Interpretable deep learning for roof fall hazard detection in underground mines

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Journal of Rock Mechanics and Geotechnical Engineering 2021年第6期13卷 1246-1255页

作者： Ergin Isleyen Sebnem Duzgun R.McKell Carter Mining Engineering Department Colorado School of MinesGoldenCO80401USA Institute of Cognitive Science University of Colorado BoulderBoulderCO80309USA

roof falls due to geological conditions are major hazards in the mining industry,causing work time loss,injuries,and *** are roof fall problems caused by high horizontal stress in several largeopening limestone mines in the eastern and midwestern United *** typical hazard management approach for this type of roof fall hazards relies heavily on visual inspections and expert *** this context,we proposed a deep learning system for detection of the roof fall hazards caused by high horizontal *** used images depicting hazardous and non-hazardous roof conditions to develop a convolutional neural network(CNN)for autonomous detection of hazardous roof *** compensate for limited input data,we utilized a transfer learning *** the transfer learning approach,an already-trained network is used as a starting point for classification in a similar *** show that this approach works well for classifying roof conditions as hazardous or safe,achieving a statistical accuracy of 86.4%.This result is also compared with a random forest classifier,and the deep learning approach is more successful at classification of roof ***,accuracy alone is not enough to ensure a reliable hazard management *** constraints and reliability are improved when the features used by the network are ***,we used a deep learning interpretation technique called integrated gradients to identify the important geological features in each image for *** analysis of integrated gradients shows that the system uses the same roof features as the experts do on roof fall hazards *** system developed in this paper demonstrates the potential of deep learning in geotechnical hazard management to complement human experts,and likely to become an essential part of autonomous operations in cases where hazard identification heavily depends on expert ***,deep learning-based systems reduce expert

关键词： roof fall Convolutional neural network(CNN) Transfer learning Deep learning interpretation Integrated gradients

Analysis of mechanism of shock bump due to roof fall

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Journal of Coal Science & Engineering(China) 2004年第2期10卷 28-30页

作者：谷新建李建雄 Hunan University of Science and Technology Xiangtan 411201 China Central South University ChangshaChina

According to the characteristics of the shock bump due to roof fall, a simple mechanics model has been established by applying the catastrophic theory and the law of energy conservation. The author suggests that the shock bump may be induced by the sudden energy release in the roof falling after underground mineral extractions, and through the systematic analysis of actual examples on site, the empirical formulae for the roof falling and energy release are derived, which would provide a new way for the study of the origin and mechanism of mine tremor due to fallen-in roof structure. It is of a great importance to enrich the shock bump theory and production safety in mine.

关键词： catastrophic theory roof fall energy release shock bump

Stress state and caving danger of the roof in bolt supporting roadway

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Journal of Coal Science & Engineering(China) 2006年第2期12卷 34-36页

作者：刘少伟许莉莉 Energy Science and Engineering College Henan Polytechnic UniversityJiaozuo 454003China

The start point of this text is the bottleneck problem of bolt supporting coal entrythat is security problem of bolt supporting roof,we divide one entry into some sections withdifferent stress,simulate stress field of wall rock and rockbolt solidified at different sectionsused umbrella disperse soft UDEC(universal distinct element code),we educe that thestress level of wallrock and bolt solidified is higher in roof fall risk section,and roof rockboltload can reflect this rule clearly,that offer an important guideline in monitoring entry rooffall risk.

关键词： bolt supporting rockbolt solidified stress roof fall roof rockbolt

Integrated real-time roof monitoring

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Journal of Coal Science & Engineering(China) 2009年第3期15卷 313-317页

作者： SHEN Bao-tang GUO Hua KING Andrew CSIRO Exploration and Mining Kenmore QLD4069 Australia

CSIRO has recently developed a real-time roof monitoring system for under-groundcoal mines and successfully tried the system in gate roads at Ulan *** systemintegrated displacement monitoring,stress monitoring and seismic monitoring in *** included GEL multianchor extensometers,vibrating wire uniaxial stress meters,ESG seismic monitoring system with microseismic sensors and high-frequency AE *** monitoring system automated and the data can be automatically collected by acentral computer located in an underground nonhazardous *** data are then transferredto the surface via an optical fiber *** real-time data were accessed at anylocation with an Internet *** trials of the system in two tailgates at Ulan Minedemonstrate that the system is effective for monitoring the behavior and stability of roadwaysduring Iongwall *** continuous roof displacement/stress data show clearprecursors of roof *** seismic data (event count and locations) provide insights intothe roof failure process during roof fall.

关键词： roof fall real-time monitoring displacement stress seismicity

Prediction of upper limit position of bedding separation overlying a coal roadway within an extra-thick coal seam

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Journal of Central South University 2018年第2期25卷 448-460页

作者： YAN Hong ZHANG Ji-xiong LI Lin-yue FENG Rui-min LI Tian-tong State Key Laboratory of Coal Resource and Safe Mining Key Laboratory of Deep Coal Resource Mining of Ministry of Education of China (China University of Mining & Technology) Xuzhou 221116 China Guizhou Xinlian Blasting Engineering Group Co. Ltd Guiyang 550002 China Department of Chemical and Petroleum Engineering University of Calgary Calgary T2N 1N4 Canada

Failure of the surrounding rock around a roadway induced by roof separation is one major type of underground roof-fall *** failure can especially be commonly-seen in a bottom-driven roadway within an extra-thick coal seam("bottom-driven roadway"is used throughout for ease of reference),containing weak partings in their roof coal *** determine the upper limit position of the roof interlayer separation is the primary premise for roof *** this study,a mechanical model for predicting the interlayer separation overlying a bottom-driven roadway within an extra-thick coal seam was established and used to deduce the vertical stress,and length,of the elastic,and plastic zones in the rock strata above the wall of the roadway as well as the formulae for calculating the deflection in different regions of rock strata under bearing ***,an approach was proposed,calculating the stratum load,deflection,and limiting span of the upper limit position of the interlayer separation in a thick coal *** on the key strata control theory and its influence of bedding separation,a set of methods judging the upper limit position of the roof interlayer separation were *** addition,the theoretical prediction and field monitoring for the upper limit position of interlayer separation were conducted in a typical *** results obtained by these two methods are consistent,indicating that the methods proposed are conducive to improving roof control in a thick coal seam.

关键词： extra-thick coal seam bedding separation coal roadway roof fall mechanical model