Copper smelting is the main source of arsenic pollution in the environment,and China is the largest country for copper smelting.Taking 2022 as an example,this study analyzes the distribution and fate of arsenic across...Copper smelting is the main source of arsenic pollution in the environment,and China is the largest country for copper smelting.Taking 2022 as an example,this study analyzes the distribution and fate of arsenic across the copper mining,beneficiation,and smelting processes using a life-cycle approach,providing important insights for arsenic pollution prevention and the resource utilization of arsenic-bearing solid waste.The results show that the amount of As in waste rock,tailing and concentrate are 53483 t,86632 t,76162 t,respectively.After smelting treatment,the amount of arsenic in different types of solid waste,wastewater,waste gas and products are 76128 t,1 t,31 t and 2 t,respectively,and the proportion in arsenic sulfide slag is the highest(55%).The amount of emission to the environment is 32 t,accounting for only 0.04%of total amount.In the future,key considerations are to improve the resource utilization rate of arsenic-containing solid waste(tailing,smelting slag),especially arsenic sulfide slag,and to digest its environmental risk.展开更多
Identifying potential hazards is crucial for maintaining the structural stability of opencast mining area.To address the limitations of irregular structure and sparse microseismic events in opencast mining monitoring,...Identifying potential hazards is crucial for maintaining the structural stability of opencast mining area.To address the limitations of irregular structure and sparse microseismic events in opencast mining monitoring,this paper proposes an active-source imaging method for identifying potential hazards precisely based on velocity structure.This method innovatively divides the irregular structure into unstructured grids and introduces a damping and smoothing regularization operator into the inversion process,mitigating the ill-posedness caused by the sparse distribution of events and rays.Numerical and laboratory experiments were conducted to verify the reliability and effectiveness of the proposed method.The results demonstrate the competitive performance of the method in identifying hazard areas of varying sizes and numbers.The proposed method shows potential for meeting hazard identification requirements in the complex opencast mining structure.Furthermore,field experiments were conducted on an rare earth mine slope.It confirms that the proposed method provides a more concrete and intuitive scheme for stability monitoring for the microseismic monitoring system.This paper not only demonstrates the application of acoustic structure velocity imaging technology in detecting unstructured potential hazard regions but also provides valuable insights into the construction and maintenance of stable opencast mining area.展开更多
Addressing the issues of significant entry settlement and severe mining pressure manifestations in the conventional 121 approach,an innovative N00 approach is proposed.By comparing the mining process and entry formati...Addressing the issues of significant entry settlement and severe mining pressure manifestations in the conventional 121 approach,an innovative N00 approach is proposed.By comparing the mining process and entry formation process of different approaches,the characteristics of entry roof settlement evolution under different approaches are obtained.The N00 approach,which incorporates roof cutting and NPR cable support,optimizes the mining and entry formation process to reduce the settlement phase of entry roof,decreases the settlement of entry roof,and enhances the steadiness of entry roof.The N00 approach modifies the entry roof structure through roof cutting and establishes a hydraulic support load mechanics model for the mining panel to derive the theoretical load pressure formula for the N00 approach’s hydraulic support.Compared with the conventional 121 approach,the pressure on the N00 approach’s hydraulic support is reduced.Empirical data obtained through field monitoring demonstrate that the N00 approach has reduced the roof settlement of the entry and weakened the mining pressure manifestation at the mining panel,achieving the goal of protecting the entry and mining panel.展开更多
This study is to determine the support mechanism of pre-stressed expandable props for the stope roof in room- and-pillar mining, which is crucial for maintaining stability and preventing roof collapse in mines. Utiliz...This study is to determine the support mechanism of pre-stressed expandable props for the stope roof in room- and-pillar mining, which is crucial for maintaining stability and preventing roof collapse in mines. Utilizing an engineering case from a gold mine in Dandong, China, a laboratory-based similar test is conducted to extract the actual roof characteristic curve. This test continues until the mining stope collapses due to a U-shaped failure. Concurrently, a semi-theoretical method for obtaining the roof characteristic curve is proposed and verified against the actual curve. The semi-theoretical method calculated that the support force and vertical displacement at the demarcation point between the elastic and plastic zones of the roof characteristic curve are 5.0 MPa and 8.20 mm, respectively, corroborating well with the laboratory-based similar test results of 0.22 MPa and 0.730 mm. The weakening factor for the plastic zone in the roof characteristic curve was semi-theoretically estimated to be 0.75. The intersection between the actual roof characteristic curve and the support characteristic curves of expandable props, natural pillars, and concrete props indicates that the expandable prop is the most effective “yielding support” for the stope roof in room-and-pillar mining. That is, the deformation and failure of the stope roof can be effectively controlled with proper release of roof stress. This study provides practical insights for optimizing support strategies in room-and-pillar mining, enhancing the safety and efficiency of mining operations.展开更多
Metal mineral resources play an indispensable role in the development of the national economy.Dynamic disasters in underground metal mines seriously threaten mining safety,which are major scientific and technological ...Metal mineral resources play an indispensable role in the development of the national economy.Dynamic disasters in underground metal mines seriously threaten mining safety,which are major scientific and technological problems to be solved urgently.In this article,the occurrence status and grand challenges of some typical dynamic disasters involving roof falling,spalling,collapse,large deformation,rockburst,surface subsidence,and water inrush in metal mines in China are systematically presented,the characteristics of mining-induced dynamic disasters are analyzed,the examples of dynamic disasters occurring in some metal mines in China are summarized,the occurrence mechanism,monitoring and early warning methods,and prevention and control techniques of these disasters are highlighted,and some new opinions,suggestions,and solutions are proposed simultaneously.Moreover,some shortcomings in current disaster research are pointed out,and the direction of efforts to improve the prevention and control level of dynamic disasters in China’s metal mines in the future is prospected.The integration of forward-looking key innovative theories and technologies in the abovementioned aspects will greatly enhance the cognitive level of disaster prevention and mitigation in China’s metal mining industry and achieve a significant shift from passive disaster relief to active disaster prevention.展开更多
The contamination of heavy metal(loid)s at mining&metallurgical sites has been a major environmental challenge worldwide[1].Typically,large amounts of metal(loid)s-bearing wastes are generated at these sites,such ...The contamination of heavy metal(loid)s at mining&metallurgical sites has been a major environmental challenge worldwide[1].Typically,large amounts of metal(loid)s-bearing wastes are generated at these sites,such as smelting slag,combustion residues,mine tailings,wastewater,and exhaust gas[2].Due to their high mobility in the environment,the released heavy metal(loid)s can easily enter the soil and water environment,posing long-term and widespread threats to ecological and human health[3].展开更多
Evolutionary algorithms(EAs)have been used in high utility itemset mining(HUIM)to address the problem of discover-ing high utility itemsets(HUIs)in the exponential search space.EAs have good running and mining perform...Evolutionary algorithms(EAs)have been used in high utility itemset mining(HUIM)to address the problem of discover-ing high utility itemsets(HUIs)in the exponential search space.EAs have good running and mining performance,but they still require huge computational resource and may miss many HUIs.Due to the good combination of EA and graphics processing unit(GPU),we propose a parallel genetic algorithm(GA)based on the platform of GPU for mining HUIM(PHUI-GA).The evolution steps with improvements are performed in central processing unit(CPU)and the CPU intensive steps are sent to GPU to eva-luate with multi-threaded processors.Experiments show that the mining performance of PHUI-GA outperforms the existing EAs.When mining 90%HUIs,the PHUI-GA is up to 188 times better than the existing EAs and up to 36 times better than the CPU parallel approach.展开更多
在智慧矿山建设的背景下,智能化设备的应用日益成为矿山智慧化改造的主要内容,用于巡检、危险区域勘测等任务的煤矿井下智能机器人运行依赖于数字地图构建和机器人自身定位,但大多数传统的定位方法在煤矿井下出现了低效甚至失效的情况,...在智慧矿山建设的背景下,智能化设备的应用日益成为矿山智慧化改造的主要内容,用于巡检、危险区域勘测等任务的煤矿井下智能机器人运行依赖于数字地图构建和机器人自身定位,但大多数传统的定位方法在煤矿井下出现了低效甚至失效的情况,同步定位与建图技术(Simultaneous Localization and Mapping,SLAM)成为了煤矿井下智能机器人定位方法的较优选择。然而,受制于激光雷达的高成本,以及相机在井下的低光照环境性能不佳,需要设计一种兼顾低成本和具有井下低光照环境适应性的SLAM定位方法,故提出了一种具有井下暗光照适应性煤矿井下机器人定位方法。首先,采集了陕西省宝鸡市凤县某煤矿井下的实景图像和SLAM所需的相机与IMU数据,根据图像制作了非匹配的暗光与正常光数据集,经过数据扩增达到3560张图像。设计了结合自注意力模块的EnlightenGAN图像增强网络,在不依赖配对数据集的情况下兼顾图像不同区域的依赖关系应对图像光照不均区域。在ORB-SLAM3框架的基础上,引入全局部图像检测对输入图像进行筛分,引入基于解析解的IMU初始化改进策略提高初始化速度,并引入了改进的图像增强网络对低光照以及光照不均的图像进行增强处理。在EuRoC数据集上的试验表明,基于图像增强的煤矿井下智能机器人定位方法能够在低光照环境下降低13.7%的ERMS和15.24%的ESD。在2个实际煤矿巷道场景中,系统能够识别低光照环境、增加SLAM系统提取的特征点数量,减少定位轨迹的漂移现象,最终改善系统在巷道低光照区域的定位效果。展开更多
文摘Copper smelting is the main source of arsenic pollution in the environment,and China is the largest country for copper smelting.Taking 2022 as an example,this study analyzes the distribution and fate of arsenic across the copper mining,beneficiation,and smelting processes using a life-cycle approach,providing important insights for arsenic pollution prevention and the resource utilization of arsenic-bearing solid waste.The results show that the amount of As in waste rock,tailing and concentrate are 53483 t,86632 t,76162 t,respectively.After smelting treatment,the amount of arsenic in different types of solid waste,wastewater,waste gas and products are 76128 t,1 t,31 t and 2 t,respectively,and the proportion in arsenic sulfide slag is the highest(55%).The amount of emission to the environment is 32 t,accounting for only 0.04%of total amount.In the future,key considerations are to improve the resource utilization rate of arsenic-containing solid waste(tailing,smelting slag),especially arsenic sulfide slag,and to digest its environmental risk.
基金Project(2021YFC2900500)supported by the National Key Research and Development Program of China。
文摘Identifying potential hazards is crucial for maintaining the structural stability of opencast mining area.To address the limitations of irregular structure and sparse microseismic events in opencast mining monitoring,this paper proposes an active-source imaging method for identifying potential hazards precisely based on velocity structure.This method innovatively divides the irregular structure into unstructured grids and introduces a damping and smoothing regularization operator into the inversion process,mitigating the ill-posedness caused by the sparse distribution of events and rays.Numerical and laboratory experiments were conducted to verify the reliability and effectiveness of the proposed method.The results demonstrate the competitive performance of the method in identifying hazard areas of varying sizes and numbers.The proposed method shows potential for meeting hazard identification requirements in the complex opencast mining structure.Furthermore,field experiments were conducted on an rare earth mine slope.It confirms that the proposed method provides a more concrete and intuitive scheme for stability monitoring for the microseismic monitoring system.This paper not only demonstrates the application of acoustic structure velocity imaging technology in detecting unstructured potential hazard regions but also provides valuable insights into the construction and maintenance of stable opencast mining area.
基金Project(2022XDHZ12)supported by the Lvliang Technology Project,ChinaProjects(8232056,2232080)supported by the Beijing Natural Science Foundation,ChinaProject([2020]3008)supported by the Science and Technology Projects in Guizhou Province,China。
文摘Addressing the issues of significant entry settlement and severe mining pressure manifestations in the conventional 121 approach,an innovative N00 approach is proposed.By comparing the mining process and entry formation process of different approaches,the characteristics of entry roof settlement evolution under different approaches are obtained.The N00 approach,which incorporates roof cutting and NPR cable support,optimizes the mining and entry formation process to reduce the settlement phase of entry roof,decreases the settlement of entry roof,and enhances the steadiness of entry roof.The N00 approach modifies the entry roof structure through roof cutting and establishes a hydraulic support load mechanics model for the mining panel to derive the theoretical load pressure formula for the N00 approach’s hydraulic support.Compared with the conventional 121 approach,the pressure on the N00 approach’s hydraulic support is reduced.Empirical data obtained through field monitoring demonstrate that the N00 approach has reduced the roof settlement of the entry and weakened the mining pressure manifestation at the mining panel,achieving the goal of protecting the entry and mining panel.
基金Project(2022YFC2903801) supported by the National Key Research and Development Program of ChinaProjects(52374117, 52274115) supported by the National Natural Science Foundation of China。
文摘This study is to determine the support mechanism of pre-stressed expandable props for the stope roof in room- and-pillar mining, which is crucial for maintaining stability and preventing roof collapse in mines. Utilizing an engineering case from a gold mine in Dandong, China, a laboratory-based similar test is conducted to extract the actual roof characteristic curve. This test continues until the mining stope collapses due to a U-shaped failure. Concurrently, a semi-theoretical method for obtaining the roof characteristic curve is proposed and verified against the actual curve. The semi-theoretical method calculated that the support force and vertical displacement at the demarcation point between the elastic and plastic zones of the roof characteristic curve are 5.0 MPa and 8.20 mm, respectively, corroborating well with the laboratory-based similar test results of 0.22 MPa and 0.730 mm. The weakening factor for the plastic zone in the roof characteristic curve was semi-theoretically estimated to be 0.75. The intersection between the actual roof characteristic curve and the support characteristic curves of expandable props, natural pillars, and concrete props indicates that the expandable prop is the most effective “yielding support” for the stope roof in room-and-pillar mining. That is, the deformation and failure of the stope roof can be effectively controlled with proper release of roof stress. This study provides practical insights for optimizing support strategies in room-and-pillar mining, enhancing the safety and efficiency of mining operations.
基金Project(52204084)supported by the National Natural Science Foundation of ChinaProject(FRF-IDRY-GD22-002)supported by the Interdisciplinary Research Project for Young Teachers of USTB(Fundamental Research Funds for the Central Universities),China+2 种基金Project(QNXM20220009)supported by the Fundamental Research Funds for the Central Universities and the Youth Teacher International Exchange and Growth Program,ChinaProjects(2022YFC2905600,2022YFC3004601)supported by the National Key R&D Program of ChinaProject(2023XAGG0061)supported by the Science,Technology&Innovation Project of Xiongan New Area,China。
文摘Metal mineral resources play an indispensable role in the development of the national economy.Dynamic disasters in underground metal mines seriously threaten mining safety,which are major scientific and technological problems to be solved urgently.In this article,the occurrence status and grand challenges of some typical dynamic disasters involving roof falling,spalling,collapse,large deformation,rockburst,surface subsidence,and water inrush in metal mines in China are systematically presented,the characteristics of mining-induced dynamic disasters are analyzed,the examples of dynamic disasters occurring in some metal mines in China are summarized,the occurrence mechanism,monitoring and early warning methods,and prevention and control techniques of these disasters are highlighted,and some new opinions,suggestions,and solutions are proposed simultaneously.Moreover,some shortcomings in current disaster research are pointed out,and the direction of efforts to improve the prevention and control level of dynamic disasters in China’s metal mines in the future is prospected.The integration of forward-looking key innovative theories and technologies in the abovementioned aspects will greatly enhance the cognitive level of disaster prevention and mitigation in China’s metal mining industry and achieve a significant shift from passive disaster relief to active disaster prevention.
基金the financial support by the National Key Research and Development Program of China and the Natural Science Foundation of Hunan Province (2019YFC18 03600, 2019YFC1803500, 2019YFC1805200, 2020YFC1807700, 2020YFC1808300, 2021YFC29 02600, 2022YFC2904400, 2023YFC3707700, 2024JJ1012)
文摘The contamination of heavy metal(loid)s at mining&metallurgical sites has been a major environmental challenge worldwide[1].Typically,large amounts of metal(loid)s-bearing wastes are generated at these sites,such as smelting slag,combustion residues,mine tailings,wastewater,and exhaust gas[2].Due to their high mobility in the environment,the released heavy metal(loid)s can easily enter the soil and water environment,posing long-term and widespread threats to ecological and human health[3].
基金This work was supported by the National Natural Science Foundation of China(62073155,62002137,62106088,62206113)the High-End Foreign Expert Recruitment Plan(G2023144007L)the Fundamental Research Funds for the Central Universities(JUSRP221028).
文摘Evolutionary algorithms(EAs)have been used in high utility itemset mining(HUIM)to address the problem of discover-ing high utility itemsets(HUIs)in the exponential search space.EAs have good running and mining performance,but they still require huge computational resource and may miss many HUIs.Due to the good combination of EA and graphics processing unit(GPU),we propose a parallel genetic algorithm(GA)based on the platform of GPU for mining HUIM(PHUI-GA).The evolution steps with improvements are performed in central processing unit(CPU)and the CPU intensive steps are sent to GPU to eva-luate with multi-threaded processors.Experiments show that the mining performance of PHUI-GA outperforms the existing EAs.When mining 90%HUIs,the PHUI-GA is up to 188 times better than the existing EAs and up to 36 times better than the CPU parallel approach.
文摘在智慧矿山建设的背景下,智能化设备的应用日益成为矿山智慧化改造的主要内容,用于巡检、危险区域勘测等任务的煤矿井下智能机器人运行依赖于数字地图构建和机器人自身定位,但大多数传统的定位方法在煤矿井下出现了低效甚至失效的情况,同步定位与建图技术(Simultaneous Localization and Mapping,SLAM)成为了煤矿井下智能机器人定位方法的较优选择。然而,受制于激光雷达的高成本,以及相机在井下的低光照环境性能不佳,需要设计一种兼顾低成本和具有井下低光照环境适应性的SLAM定位方法,故提出了一种具有井下暗光照适应性煤矿井下机器人定位方法。首先,采集了陕西省宝鸡市凤县某煤矿井下的实景图像和SLAM所需的相机与IMU数据,根据图像制作了非匹配的暗光与正常光数据集,经过数据扩增达到3560张图像。设计了结合自注意力模块的EnlightenGAN图像增强网络,在不依赖配对数据集的情况下兼顾图像不同区域的依赖关系应对图像光照不均区域。在ORB-SLAM3框架的基础上,引入全局部图像检测对输入图像进行筛分,引入基于解析解的IMU初始化改进策略提高初始化速度,并引入了改进的图像增强网络对低光照以及光照不均的图像进行增强处理。在EuRoC数据集上的试验表明,基于图像增强的煤矿井下智能机器人定位方法能够在低光照环境下降低13.7%的ERMS和15.24%的ESD。在2个实际煤矿巷道场景中,系统能够识别低光照环境、增加SLAM系统提取的特征点数量,减少定位轨迹的漂移现象,最终改善系统在巷道低光照区域的定位效果。
