Presently most of research results on strata behaviors were concluded under the normal （moderate） advance rate conditions. Comparing with normal advance rate, fast advance rate and slow advance rate may cause some n...Presently most of research results on strata behaviors were concluded under the normal （moderate） advance rate conditions. Comparing with normal advance rate, fast advance rate and slow advance rate may cause some new changes of strata behaviors. The characteristics of ground pressure behaviors in working face with great mining height at different forward speeds were studied by similarity model experiment in laboratory. Its conclusion provides a theoretic basis for ground pressure controlling.展开更多
The working condition of the hydraulic support in working face can be divided into three kinds of situations in the following： roof fall and col,lapse with cavity, advancing support and supporting. Took single suppor...The working condition of the hydraulic support in working face can be divided into three kinds of situations in the following： roof fall and col,lapse with cavity, advancing support and supporting. Took single support with four-pole in Iongwall face to the dip as research object, control method was studied to avoid support instability in three situations mentioned above. Based on these researches, the major factors of influencing on support stability and its controlling measures were put forward. According to specific conditions of working face 1215（3）, which is fully-mechanized and Iongwall face to the dip with great mining height in Zhangji Coal Mine, Huainan Mining Group, the effective measures was taken to control supports stability..展开更多
In deep coal mining,skip mining techniques are increasingly adopted,yet their discontinuous extraction sequences and unique coal pillar support mechanisms create complex overburden failure patterns.This complexity giv...In deep coal mining,skip mining techniques are increasingly adopted,yet their discontinuous extraction sequences and unique coal pillar support mechanisms create complex overburden failure patterns.This complexity gives rise to severe multi-source water hazards,including persistent threats from bed-separation water,goaf water accumulation,and structural water ingress.The intricate hydro-geological conditions,characterized by variable resistivity and significant electromagnetic interference,often render single geophysical detection methods inadequate,leading to interpretive ambiguities and potential oversight of critical risks.To address these challenges,this study innovatively proposes and demonstrates an integrated detection methodology that synergistically combines the Audio Frequency Electric Penetration(AFEP)method and the Radio Wave Penetration(RWP)method.The core innovation of this research is the design of a coordinated observation system meticulously tailored to the spatial distribution of coal pillars.Beyond data acquisition,a systematic,graded classification framework was established for the comprehensive analysis and fusion of the dual-method results.Crucially,these classification outcomes directly inform the formulation of targeted and tiered governance recommendations,translating detection data into actionable mitigation strategies.Practical application at the 22213 face yielded highly positive results.The integrated approach successfully delineated the spatial distribution of water-bearing anomalies and their connecting channels with a clarity unattainable by either method alone.This not only significantly enhanced the accuracy and reliability of the hydrological threat assessment but also provided a robust scientific foundation for implementing effective water hazard prevention and control measures,thereby ensuring the safe and efficient extraction of the skip mining face.展开更多
In the last five years, China has seen the technological development of intelligent mining and the application of the longwall automation technology developed by the Longwall Automation Steering Committee. This paper ...In the last five years, China has seen the technological development of intelligent mining and the application of the longwall automation technology developed by the Longwall Automation Steering Committee. This paper summarizes this great achievement, which occurred during the 12th Five-Year Plan （2011-2015）, and which included the development of a set of intelligent equipment for hydraulic-powered supports, information transfers, dynamic decision-making, performance coordination, and the achievement of a high level of reliability despite difficult conditions. Within China, the intelligent system of a set of hydraulic-powered supports was completed, with our own intellectual property rights. An intelligent mining model was developed that permitted unmanned operation and single-person inspection on the work face. With these technologies, the number of miners on the work face can now be significantly reduced. Miners are only required to monitor mining machines on the roadway or at the surface control center, since intelligent mining can be applied to extract middle-thick or thick coal seams. As a result, miners＇ safety has been improved. Finally, this Darter discusses theprospects and challenges of intelligent mining over the next ten years.展开更多
Based on the neural network technique, this paper proposes a BP neural network model which integrates geological factors which affect top coal caving in a comprehensive index. The index of top coal caving may be used ...Based on the neural network technique, this paper proposes a BP neural network model which integrates geological factors which affect top coal caving in a comprehensive index. The index of top coal caving may be used to forecast the mining cost of working faces, which shows the model’s potential prospect of applications.展开更多
文摘Presently most of research results on strata behaviors were concluded under the normal （moderate） advance rate conditions. Comparing with normal advance rate, fast advance rate and slow advance rate may cause some new changes of strata behaviors. The characteristics of ground pressure behaviors in working face with great mining height at different forward speeds were studied by similarity model experiment in laboratory. Its conclusion provides a theoretic basis for ground pressure controlling.
文摘The working condition of the hydraulic support in working face can be divided into three kinds of situations in the following： roof fall and col,lapse with cavity, advancing support and supporting. Took single support with four-pole in Iongwall face to the dip as research object, control method was studied to avoid support instability in three situations mentioned above. Based on these researches, the major factors of influencing on support stability and its controlling measures were put forward. According to specific conditions of working face 1215（3）, which is fully-mechanized and Iongwall face to the dip with great mining height in Zhangji Coal Mine, Huainan Mining Group, the effective measures was taken to control supports stability..
文摘In deep coal mining,skip mining techniques are increasingly adopted,yet their discontinuous extraction sequences and unique coal pillar support mechanisms create complex overburden failure patterns.This complexity gives rise to severe multi-source water hazards,including persistent threats from bed-separation water,goaf water accumulation,and structural water ingress.The intricate hydro-geological conditions,characterized by variable resistivity and significant electromagnetic interference,often render single geophysical detection methods inadequate,leading to interpretive ambiguities and potential oversight of critical risks.To address these challenges,this study innovatively proposes and demonstrates an integrated detection methodology that synergistically combines the Audio Frequency Electric Penetration(AFEP)method and the Radio Wave Penetration(RWP)method.The core innovation of this research is the design of a coordinated observation system meticulously tailored to the spatial distribution of coal pillars.Beyond data acquisition,a systematic,graded classification framework was established for the comprehensive analysis and fusion of the dual-method results.Crucially,these classification outcomes directly inform the formulation of targeted and tiered governance recommendations,translating detection data into actionable mitigation strategies.Practical application at the 22213 face yielded highly positive results.The integrated approach successfully delineated the spatial distribution of water-bearing anomalies and their connecting channels with a clarity unattainable by either method alone.This not only significantly enhanced the accuracy and reliability of the hydrological threat assessment but also provided a robust scientific foundation for implementing effective water hazard prevention and control measures,thereby ensuring the safe and efficient extraction of the skip mining face.
文摘In the last five years, China has seen the technological development of intelligent mining and the application of the longwall automation technology developed by the Longwall Automation Steering Committee. This paper summarizes this great achievement, which occurred during the 12th Five-Year Plan （2011-2015）, and which included the development of a set of intelligent equipment for hydraulic-powered supports, information transfers, dynamic decision-making, performance coordination, and the achievement of a high level of reliability despite difficult conditions. Within China, the intelligent system of a set of hydraulic-powered supports was completed, with our own intellectual property rights. An intelligent mining model was developed that permitted unmanned operation and single-person inspection on the work face. With these technologies, the number of miners on the work face can now be significantly reduced. Miners are only required to monitor mining machines on the roadway or at the surface control center, since intelligent mining can be applied to extract middle-thick or thick coal seams. As a result, miners＇ safety has been improved. Finally, this Darter discusses theprospects and challenges of intelligent mining over the next ten years.
文摘Based on the neural network technique, this paper proposes a BP neural network model which integrates geological factors which affect top coal caving in a comprehensive index. The index of top coal caving may be used to forecast the mining cost of working faces, which shows the model’s potential prospect of applications.
