With the increasing depth of coal mining each year,rock burst has emerged as one of the most severe dynamic disasters in deep mining.The research status of rock burst prevention and control theory is summarized.Focuse...With the increasing depth of coal mining each year,rock burst has emerged as one of the most severe dynamic disasters in deep mining.The research status of rock burst prevention and control theory is summarized.Focused on deep coal mining,the major issues encountered in researching the prevention theory of rock bursts are summarized.Subsequently,the scientific connotation theory of stress relief-support reinforcement cooperative prevention and control of rock bursts in deep coal mines is proposed.Then,the mechanisms underlying the major research directions of the theory of stress relief-support reinforcement coordinated prevention and control and present a preliminarily theoretical framework for stress relief-support reinforcement coordinated prevention and control are outlined.To tackle the key scientific problems in the coordinated prevention and control of rock bursts on relief and support in deep mine,the in-depth research based on the synergetic theory is conducted.This involved exploring the principles of near-field coal mass stress relief,near-field roof andfloor stress relief,and anchor support.Additionally,the stress-energy evolution processes of the roadway near-field surrounding rock structure under various stress relief and anchor support modes be analyzed.Subsequently,a mechanical model for the optimized matching of stress relief surrounding rock and anchor support is established,with the control of the rock burst energy source at its core.Finally,the principle of collaborative prevention and control of deep mining rock burst stress relief and support from the perspectives of structural synergy,strength synergy,and stiffness synergy is elucidated.This insight is expected to provide theoretical support for the research and development of designs and techniques for deep mining rock burst prevention and control.展开更多
露天矿无人矿车在装卸载作业区内运输过程中的长时间停车等待是制约露天矿无人运输系统效率提升的瓶颈。为提高无人矿车的运输效率,本文结合作业区内的运输作业流程,提出一种基于动态可行驶距离的多车协同通行决策方法。首先,将决策模...露天矿无人矿车在装卸载作业区内运输过程中的长时间停车等待是制约露天矿无人运输系统效率提升的瓶颈。为提高无人矿车的运输效率,本文结合作业区内的运输作业流程,提出一种基于动态可行驶距离的多车协同通行决策方法。首先,将决策模型建模为混合整数线性规划(Mixed Integer Linear Programming, MILP)模型,表述优化目标和问题约束;其次,考虑到求解MILP模型存在难以满足动态决策实时性的问题,基于蒙特卡洛树搜索(Monte Carlo Tree Search,MCTS)实现多车冲突消解,核心思想是利用搜索树的推演能力进行多车通行前瞻模拟,计算多车的最优通行优先级,动态调整多车的可行驶距离;此外,根据无人矿车在作业区内的作业特征设计不同的MCTS节点价值函数,实现综合考虑运输效率与作业特征的通行优先级排序;最后,设计作业区4,8,12个停车位场景下的多车通行仿真实验,与基于先到先服务(First-Come-FirstServed, FCFS)的方法进行对比,吞吐量提升22.03%~28.00%,平均停车等待时间缩短31.71%~50.79%。同时,搭建微缩智能车辆的6停车位作业区场景实验平台,多车单次运输作业总用时相比FCFS缩短了18.84%。仿真与微缩智能车辆的实验结果表明,本文提出的方法能够提升露天矿作业区多车运输效率。展开更多
基金supported by the Major Program of Shandong Provincial Natural Science Foundation(ZR2019ZD13)Project of Taishan Scholar in Shandong Province(No.tstp20221126)+1 种基金GUO Wei-yao was supported by the National Natural Science Foundation of China(52274086)Education System government-sponsored studyabroad program of Shandong Province.
文摘With the increasing depth of coal mining each year,rock burst has emerged as one of the most severe dynamic disasters in deep mining.The research status of rock burst prevention and control theory is summarized.Focused on deep coal mining,the major issues encountered in researching the prevention theory of rock bursts are summarized.Subsequently,the scientific connotation theory of stress relief-support reinforcement cooperative prevention and control of rock bursts in deep coal mines is proposed.Then,the mechanisms underlying the major research directions of the theory of stress relief-support reinforcement coordinated prevention and control and present a preliminarily theoretical framework for stress relief-support reinforcement coordinated prevention and control are outlined.To tackle the key scientific problems in the coordinated prevention and control of rock bursts on relief and support in deep mine,the in-depth research based on the synergetic theory is conducted.This involved exploring the principles of near-field coal mass stress relief,near-field roof andfloor stress relief,and anchor support.Additionally,the stress-energy evolution processes of the roadway near-field surrounding rock structure under various stress relief and anchor support modes be analyzed.Subsequently,a mechanical model for the optimized matching of stress relief surrounding rock and anchor support is established,with the control of the rock burst energy source at its core.Finally,the principle of collaborative prevention and control of deep mining rock burst stress relief and support from the perspectives of structural synergy,strength synergy,and stiffness synergy is elucidated.This insight is expected to provide theoretical support for the research and development of designs and techniques for deep mining rock burst prevention and control.
文摘露天矿无人矿车在装卸载作业区内运输过程中的长时间停车等待是制约露天矿无人运输系统效率提升的瓶颈。为提高无人矿车的运输效率,本文结合作业区内的运输作业流程,提出一种基于动态可行驶距离的多车协同通行决策方法。首先,将决策模型建模为混合整数线性规划(Mixed Integer Linear Programming, MILP)模型,表述优化目标和问题约束;其次,考虑到求解MILP模型存在难以满足动态决策实时性的问题,基于蒙特卡洛树搜索(Monte Carlo Tree Search,MCTS)实现多车冲突消解,核心思想是利用搜索树的推演能力进行多车通行前瞻模拟,计算多车的最优通行优先级,动态调整多车的可行驶距离;此外,根据无人矿车在作业区内的作业特征设计不同的MCTS节点价值函数,实现综合考虑运输效率与作业特征的通行优先级排序;最后,设计作业区4,8,12个停车位场景下的多车通行仿真实验,与基于先到先服务(First-Come-FirstServed, FCFS)的方法进行对比,吞吐量提升22.03%~28.00%,平均停车等待时间缩短31.71%~50.79%。同时,搭建微缩智能车辆的6停车位作业区场景实验平台,多车单次运输作业总用时相比FCFS缩短了18.84%。仿真与微缩智能车辆的实验结果表明,本文提出的方法能够提升露天矿作业区多车运输效率。
