首页> 美国政府科技报告 >Unmanned Aircraft Systems for Logistics Applications
【24h】

Unmanned Aircraft Systems for Logistics Applications

机译:用于物流应用的无人驾驶飞机系统

获取原文

摘要

This project evaluated 10 potential logistics applications for Unmanned Aerial Systems (UAS) to determine whether they are technically feasible, operationally feasible, and more cost-effective than other options. The study concentrated on the following: reconnaissance and surveillance tasks to secure logistics convoys through overwatch with UAS; route reconnaissance looking for hazards that might endanger logistics convoys; and surveillance of pipelines, electrical lines, rivers, supply depots, disaster scenes, and predeployment theater reconnaissance. The study also examined the potential for using UAS to locate airdropped cargo that misses the drop zone and to retrograde critical unserviceable items expeditiously. We used a combination of Army data, interviews, and prior research to compile information for analysis. The research team made use of Combined Information Data Network Exchange (CIDNE) and FusionNet databases to sample the frequency and intensity of enemy attacks on logistics convoys and assets. We drew on recent research at RAND for insights into installation and pipeline security, the improvised explosive device (IED) problem, and the optimal employment of UAS. We interviewed Army personnel recently returned from operational theaters with practical experience in logistics operations, and we also interviewed civilian contractors tasked with the security of pipelines and electrical lines in Iraq to understand those tasks more fully. Based upon the available data and our best efforts to understand current threats, we made estimates to help us determine which UAS applications are likely feasible and infeasible, beneficial and not, and cost- effective. The study also examines six factors to consider that influence the use of a UAS-based solution: cost; terrain; enemy tactics, techniques, and procedures; the value of damage or loss that could be avoided by using UAS; weather; and bandwidth.

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号