主管:中华人民共和国应急管理部
主办:应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU

消防科学与技术 ›› 2021, Vol. 40 ›› Issue (4): 534-539.

• • 上一篇    下一篇

基于空气呼吸器气量预测的人员路径规划

张宏远,李梦琪   

  1. 陆军防化学院,北京102205
  • 出版日期:2021-04-15 发布日期:2021-04-15
  • 作者简介:张宏远(1972-),男,黑龙江哈尔滨人,陆军防化学院教授,主要从事装备保障与仿真的研究,北京市昌平区阳坊镇中心北街一号院,102205。

Personnel path planning method based on prediction of gas volume of air respirator

ZHANG Hong-yuan,LI Ming-qi   

  1. Institute of NBC Defense, Beijing 102205, China
  • Online:2021-04-15 Published:2021-04-15

摘要: 针对救援人员佩戴空气呼吸器执行任务时路径难以规划的情况,提出一种基于空气呼吸器气量使用情况的多楼层空间单人路径规划方法。根据人员行动特点,从三方面改进蚁群算法,主要包括:分情况计算两点间距、基于空气呼吸器气量预测的约束限制判断、充气保障条件的判断。将改进后的方法应用于不同任务场景,验证了方法的合理性,对佩戴空气呼吸器人员作业做出行动规划、安全高效完成任务具有指导意义。

关键词:

空气呼吸器, 救援人员, 气量预测, 蚁群算法, 人员路径规划

Abstract: In view of the fact that it is difficult for rescuers to plan the path when they wear air respirator to perform tasks, proposed a single person path planning method in multi floor space based on the air consumption of air respirators. According to the characteristics of personnel action, improved the ant colony algorithm from three aspects, including: calculate the distance between two points according to different situation, judge the constraints based on the prediction of air volume of air respirator, and judge the inflation guarantee conditions. Applied the improved algorithm in different task scenarios, verified that it is reasonable and instructive for personnel wearing air respirator to make action plan and complete the task safely and efficiently. 

Key words:  , air respirator, rescuer, gas volume prediction, ant colony algorithm, path planning