露天开采电铲卡车工艺、大型轮斗工艺和拉铲工艺都具有大型设备众多、组织管理复杂、安全隐患大等特点,并且后两者还是国内较新的工艺,这就使得高效直观的生产工艺展示以及安全培训技术手段和作业风险性研究,成为上述工艺能否成功应用...露天开采电铲卡车工艺、大型轮斗工艺和拉铲工艺都具有大型设备众多、组织管理复杂、安全隐患大等特点,并且后两者还是国内较新的工艺,这就使得高效直观的生产工艺展示以及安全培训技术手段和作业风险性研究,成为上述工艺能否成功应用的制约因素。本文研究了基于虚拟现实技术,应用Pro-E和3 D MAX软件,对露天开采工艺及其风险状况进行模拟的技术途径,建立了大型露天矿人-机-矿山虚拟环境,直观形象的模拟了轮斗、单斗卡车和拉铲三种工艺流程,同时可以进行重点风险部位的动态识别。系统为职工生产与安全培训提供了一个良好的平台。展开更多
Array configuration of multiple-input multiple-output （MIMO） radar with non-uniform linear array （NLA） is proposed. Unlike a standard phased-array radar where NLA is used to generate thinner beam patterns, in MIMO...Array configuration of multiple-input multiple-output （MIMO） radar with non-uniform linear array （NLA） is proposed. Unlike a standard phased-array radar where NLA is used to generate thinner beam patterns, in MIMO radar the property of NLA is exploited to get more distinct virtual array elements so as to improve pa- rameter identifiability, which means the maximum number of targets that can be uniquely identified by the radar. A class of NLA called minimum redundancy linear array （MRLA） is employed and a new method to construct large MRLAs is descrihed. The numerical results verify that compared to uniform linear array （ULA） MIMO radars, NLA MIMO radars can retain the same parameter identifiability with fewer physical antennas and achieve larger aperture length and lower Cramer-Rao bound with the same number of the physical antennas.展开更多
文摘露天开采电铲卡车工艺、大型轮斗工艺和拉铲工艺都具有大型设备众多、组织管理复杂、安全隐患大等特点,并且后两者还是国内较新的工艺,这就使得高效直观的生产工艺展示以及安全培训技术手段和作业风险性研究,成为上述工艺能否成功应用的制约因素。本文研究了基于虚拟现实技术,应用Pro-E和3 D MAX软件,对露天开采工艺及其风险状况进行模拟的技术途径,建立了大型露天矿人-机-矿山虚拟环境,直观形象的模拟了轮斗、单斗卡车和拉铲三种工艺流程,同时可以进行重点风险部位的动态识别。系统为职工生产与安全培训提供了一个良好的平台。
基金Supported by the Aeronautic Science Foundation of China(2008ZC52026)the Innovation Foundation of Nanjing University of Aeronautics and Astronautics~~
文摘Array configuration of multiple-input multiple-output （MIMO） radar with non-uniform linear array （NLA） is proposed. Unlike a standard phased-array radar where NLA is used to generate thinner beam patterns, in MIMO radar the property of NLA is exploited to get more distinct virtual array elements so as to improve pa- rameter identifiability, which means the maximum number of targets that can be uniquely identified by the radar. A class of NLA called minimum redundancy linear array （MRLA） is employed and a new method to construct large MRLAs is descrihed. The numerical results verify that compared to uniform linear array （ULA） MIMO radars, NLA MIMO radars can retain the same parameter identifiability with fewer physical antennas and achieve larger aperture length and lower Cramer-Rao bound with the same number of the physical antennas.
