中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (10): 180-186.doi: 10.16265/j.cnki.issn1003-3033.2019.10.028

• 公共安全 • 上一篇    下一篇

直升机协同救援调度优化研究

张青松1教授, 金宜家1, 秦帅星2   

  1. 1 中国民航大学,经济与管理学院,天津300300;
    2 北京首都国际机场股份有限公司,北京100000
  • 收稿日期:2019-07-28 修回日期:2019-09-12 出版日期:2019-10-28 发布日期:2020-10-27
  • 作者简介:张青松 (1977—), 男,河北晋州人,博士,教授,主要从事航空应急与危险品运输安全等方面的研究。E-mail:nkzqsong@126.com。
  • 基金资助:
    国家重点研发计划(2016YFC0802601)。

Research on helicopter cooperative rescue scheduling optimization

ZHANG Qingsong1, JIN Yijia1, QIN Shuaixing2   

  1. 1 School of Economics and Management, Civil Aviation University of China, Tianjin 300300, China;
    2 Beijing Capital International Airport Co, Ltd,Beijing 100000,China
  • Received:2019-07-28 Revised:2019-09-12 Online:2019-10-28 Published:2020-10-27

摘要: 为有效提高我国航空应急救援效率,解决灾后如何科学、快速调配直升机问题,提出多出救点到多资源需求点的直升机协同救援概念,以直升机配置时间最小、效用度最大和需求满足度最大为目标,构建满足上述要求的直升机协同救援优化调度模型;通过系数加权将多目标函数转化为单目标函数求解,并利用协同差分进化算法对模型进行求解;以军民直升机协同救援为例进行实例分析,验证模型和算法的有效性。结果表明:通过此算法能够得到救援周期内3天的备选出救点的直升机调度方案,为应急救援指挥人员在直升机调配方案选择上提供决策支持。

关键词: 协同救援, 出救点, 资源需求点, 直升机调度, 协同差分进化

Abstract: In order to improve the efficiency of aviation emergency rescue in China and explore how to deploy helicopters scientifically and quickly after disasters, the concept of helicopter collaborative rescue with multiple rescue points and multiple resource demand points was proposed. Targeted by the smallest helicopter configuration time, maximum utility and maximum demand satisfaction, a helicopter rescue optimization model meeting the above requirements was constructed. The multi-objective function was converted into single objective function by coefficient weighting and the model was solved by cooperative differential evolution algorithm. Finally, the feasibility of the model and algorithm was verified based on an example analysis of military-civilian helicopter cooperative rescue. The results show that the proposed algorithm can obtain helicopter dispatching plan of the alternative rescue point within three days of rescue period, and provide decision support for the emergency rescue commander in selection of the helicopter scheduling plan.

Key words: collaborative rescue, rescue point, resource demand point, helicopter scheduling, synergistic differential evolution

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