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A Methodology for the Zoning Danger Region in Small Arm Firing Range Using Aerial Photogrammetry with Drone

机译:使用无人机的空中摄影测量的小臂射击范围分区危险区域的方法

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During firing exercises in the military forces, safety accidents have occurred and caused nonbattle loss of human lives. Despite huge impact of the safety accidents in firing ranges on the military forces and civilians, the preventive measures have been limited and inflexible. In this study, to decrease the accident rate in small arm firing ranges, a methodology was presented to determine danger zones in firing ranges that resulted from direct bullets or ricochets during firing exercises. On the basis of ballistic theory and the actual terrain data surveyed by a drone, the danger zone of OO Firing Range was identified by schematizing the trajectories of the direct bullets and ricochets. The Monte Carlo simulation (MCS) with the accuracy of the small arm on the terrain data showed that the danger zone of the current firing range was limited due to topographic advantages. However, when human errors were included in the MCS, the danger zones were significantly enlarged. The methodology of the present study can provide a safety check-up model that identifies danger zones in the firing ranges used by the Army.
机译:在射击军队中的举行时,发生了安全事故,并导致人类生命失去了。尽管对军队和平民的射击范围的安全事故产生了巨大影响,但预防措施受到限制和不灵活。在这项研究中,为了减少小臂射击范围的事故率,提出了一种方法,以确定射击范围内的危险区域,从射击练习期间由直接子弹或Ricochets导致。在弹道理论和无人机调查的实际地形数据的基础上,通过在直接子弹和Ricochets的轨迹来确定OO射击范围的危险区域。蒙特卡罗仿真(MCS)具有在地形数据上的小臂精度的准确性表明,由于地形优点,电流烧制范围的危险区域受到限制。然而,当人类错误包含在MCS中时,危险区被显着扩大。本研究的方法可以提供安全检查模型,该模型识别军队使用的射击范围内的危险区域。

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