缅甸作为全球受地震灾害影响甚为严重的国家之一,因缺乏区域地震观测资料,对其孕震构造环境的详细分析研究十分不足.本文利用中缅联合地球物理探测(CMGSMO)项目在缅甸布设的密集宽频带地震台阵观测数据,对印缅山脉至中央盆地的地震活动...缅甸作为全球受地震灾害影响甚为严重的国家之一,因缺乏区域地震观测资料,对其孕震构造环境的详细分析研究十分不足.本文利用中缅联合地球物理探测(CMGSMO)项目在缅甸布设的密集宽频带地震台阵观测数据,对印缅山脉至中央盆地的地震活动特征进行了分析.基于改进的剪切-粘贴法(generalized Cut And Paste,gCAP)新获得了28个ML3.0~5.0地震事件的震源机制解等震源参数信息,并结合全球矩心矩张量(Global Centroid Moment Tensor,GCMT)目录及其他已发表的震源机制解资料,应用区域阻尼应力场反演算法得到了研究区的应力分布状态,综合探讨了研究区域深浅部构造关系及孕震机制.研究表明印度板块持续的斜向俯冲控制着印缅山脉和中央盆地的地震活动,但其影响向东逐渐减弱,浅部最大主应力方向的变化可能反映的是局部应力集中或者是相对短时间内的应力调整,不同区域的地震活动差异主要受区域构造及其浅部断层的影响,中央盆地下方的两个邻区之间的最大主应力轴的偏转可能与深部活动相关.展开更多
The geological conditions for coal mining in China are complex,with various structural issues such as faults and collapsed columns seriously compromising the safety of coal mine production.In-seam wave exploration is ...The geological conditions for coal mining in China are complex,with various structural issues such as faults and collapsed columns seriously compromising the safety of coal mine production.In-seam wave exploration is an effective technique for acquiring detailed information on geological structures in coal seam working faces.However,the existing reflected in-seam wave imaging technique can no longer meet the exploration precision requirements,making it imperative to develop a new reflected in-seam wave imaging technique.This study applies the Gaussian beam summation(GBS)migration method to imaging coal seams'reflected in-seam wave data.Firstly,with regard to the characteristics of the reflected in-seam wave data,methods such as wavefield removal and enveloped superposition are employed for the corresponding wavefield separation,wave train compression and other processing of reflected in-seam waves.Thereafter,imaging is performed using the GBS migration technique.The feasibility and effectiveness of the proposed method for reflected in-seam wave imaging are validated by conducting GBS migration tests on 3D coal-seam fault models with different dip angles and throws.By applying the method to reflected in-seam wave data for an actual coal seam working face,accurate imaging of a fault structure is obtained,thereby validating its practicality.展开更多
樱桃番茄串生长姿态多样、果实成熟度不一,采摘机器人进行“粒收”作业时,常面临果梗干涉末端执行器、成熟度判断错误等问题,导致采摘效率低下、难以有效实现分级采收。针对上述问题,该研究提出一种级联视觉检测流程,包括采收目标检测...樱桃番茄串生长姿态多样、果实成熟度不一,采摘机器人进行“粒收”作业时,常面临果梗干涉末端执行器、成熟度判断错误等问题,导致采摘效率低下、难以有效实现分级采收。针对上述问题,该研究提出一种级联视觉检测流程,包括采收目标检测、目标果实特性判别、果实与果梗位置关系判断3个关键环节。首先根据农艺要求按成熟度将番茄果实分为4个等级,引入YOLOv5目标检测模型对番茄串和番茄果实进行检测并输出成熟度等级,实现分期采收。然后对果实与果梗的相对位置进行判断,利用MobileNetv3网络模型对膨胀包围盒进行果实与果梗相对位置关系判断,实现末端执行器采摘位姿控制。日光温室实际测试结果表明,本文提出的级联检测系统平均推理用时22ms,在IOU(intersection over union)阈值为0.5的情况下,樱桃番茄串与果实的平均检测精度达到89.9%,满足采摘机器人的视觉检测精度和实时性要求,相比末端执行器以固定角度靠近待采目标的方法,本文方法采收效率提升28.7个百分点。研究结果可为各类果蔬采摘机器人研究提供参考。展开更多
文摘缅甸作为全球受地震灾害影响甚为严重的国家之一,因缺乏区域地震观测资料,对其孕震构造环境的详细分析研究十分不足.本文利用中缅联合地球物理探测(CMGSMO)项目在缅甸布设的密集宽频带地震台阵观测数据,对印缅山脉至中央盆地的地震活动特征进行了分析.基于改进的剪切-粘贴法(generalized Cut And Paste,gCAP)新获得了28个ML3.0~5.0地震事件的震源机制解等震源参数信息,并结合全球矩心矩张量(Global Centroid Moment Tensor,GCMT)目录及其他已发表的震源机制解资料,应用区域阻尼应力场反演算法得到了研究区的应力分布状态,综合探讨了研究区域深浅部构造关系及孕震机制.研究表明印度板块持续的斜向俯冲控制着印缅山脉和中央盆地的地震活动,但其影响向东逐渐减弱,浅部最大主应力方向的变化可能反映的是局部应力集中或者是相对短时间内的应力调整,不同区域的地震活动差异主要受区域构造及其浅部断层的影响,中央盆地下方的两个邻区之间的最大主应力轴的偏转可能与深部活动相关.
基金supported by the National Natural Science Foundation of China(Grant No.42174157)the CAGS Research Fund(Grant No.JKY202216)the Chinese Geological Survey Project(Grant Nos.DD20230008,DD20233002).
文摘The geological conditions for coal mining in China are complex,with various structural issues such as faults and collapsed columns seriously compromising the safety of coal mine production.In-seam wave exploration is an effective technique for acquiring detailed information on geological structures in coal seam working faces.However,the existing reflected in-seam wave imaging technique can no longer meet the exploration precision requirements,making it imperative to develop a new reflected in-seam wave imaging technique.This study applies the Gaussian beam summation(GBS)migration method to imaging coal seams'reflected in-seam wave data.Firstly,with regard to the characteristics of the reflected in-seam wave data,methods such as wavefield removal and enveloped superposition are employed for the corresponding wavefield separation,wave train compression and other processing of reflected in-seam waves.Thereafter,imaging is performed using the GBS migration technique.The feasibility and effectiveness of the proposed method for reflected in-seam wave imaging are validated by conducting GBS migration tests on 3D coal-seam fault models with different dip angles and throws.By applying the method to reflected in-seam wave data for an actual coal seam working face,accurate imaging of a fault structure is obtained,thereby validating its practicality.
基金Project(42130810)supported by the National Natural Science Foundation of ChinaProject(2022JJ20057)supported by the Natural Science Foundation for Excellent Young Scholars of Hunan Province,China+1 种基金Project(2023CXQD063)supported by Central South University Innovation-Driven Research Programme,ChinaProject(2022-01)supported by Natural Resources Science and Technology Project of Hunan Province,China。
文摘樱桃番茄串生长姿态多样、果实成熟度不一,采摘机器人进行“粒收”作业时,常面临果梗干涉末端执行器、成熟度判断错误等问题,导致采摘效率低下、难以有效实现分级采收。针对上述问题,该研究提出一种级联视觉检测流程,包括采收目标检测、目标果实特性判别、果实与果梗位置关系判断3个关键环节。首先根据农艺要求按成熟度将番茄果实分为4个等级,引入YOLOv5目标检测模型对番茄串和番茄果实进行检测并输出成熟度等级,实现分期采收。然后对果实与果梗的相对位置进行判断,利用MobileNetv3网络模型对膨胀包围盒进行果实与果梗相对位置关系判断,实现末端执行器采摘位姿控制。日光温室实际测试结果表明,本文提出的级联检测系统平均推理用时22ms,在IOU(intersection over union)阈值为0.5的情况下,樱桃番茄串与果实的平均检测精度达到89.9%,满足采摘机器人的视觉检测精度和实时性要求,相比末端执行器以固定角度靠近待采目标的方法,本文方法采收效率提升28.7个百分点。研究结果可为各类果蔬采摘机器人研究提供参考。
