基于图像处理的自动野外救援系统设计
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

临沂市重点研发计划(28112001);国家自然科学基金(61773193,61703194)


Design of automatic field rescue system based on image processing
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对野外救援的不及时性,结合人工智能等技术的应用,提出了一种新的自动野外救援系统.人类在野外和海上活动中受困后,除了依靠自身能力和装备进行求生之外,外部的有效及时救援是提高生存几率的关键.自动野外救援系统,由自动报警装置、手动报警装置实现报警,触发整个系统的运行.自动救援装置可以通过定位模块实现定位,通过执行器移动到随身装置附近实现救援,随身装置还可以发出信标导引信号;自动救援装置还可以通过传感器检测信标,通过相位检测技术等计算待救者的坐标并规划路径,实现更精准的定位与救援.

    Abstract:

    This paper proposes a new automatic system for the application of artificial intelligence and other technologiesto field rescues.When peopleare trapped inthe vast wilderness and maritime environments,apart from relying on their own abilities and equipment,an effective external and timely rescue iscritical in improving their chances of survival.An automatic field rescue system recognizes the alarm produced byautomatic and manual alarm devices,which triggers the operation of the entire system.The automatic rescue device can determine the positionvia a positioning module,and performs a rescue by moving an actuator to the vicinity of a portable device.This device can also issue a beacon.The target-guided signalis detected by the automatic rescue system using a sensor.It can determine the coordinates of the rescue(using phase detection technology),plan the path,achieve more accurate positioning,and perform the rescue.The artificial rescue system can be controlled at critical moments.This device can significantly reduce the time taken for a field rescue,and greatly improve the overall efficiency of the process.Based on physical production and testing,the operability and practicability of the system are established.

    参考文献
    相似文献
    引证文献
引用本文

郭乃天,庞国臣,张安彩,邱建龙.基于图像处理的自动野外救援系统设计[J].南京信息工程大学学报(自然科学版),2019,11(4):490-494
GUO Naitian, PANG Guochen, ZHANG Ancai, QIU Jianlong. Design of automatic field rescue system based on image processing[J]. Journal of Nanjing University of Information Science & Technology, 2019,11(4):490-494

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2019-06-05
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2019-09-03
  • 出版日期:

地址:江苏省南京市宁六路219号    邮编:210044

联系电话:025-58731025    E-mail:nxdxb@nuist.edu.cn

南京信息工程大学学报 ® 2024 版权所有  技术支持:北京勤云科技发展有限公司