中国安全科学学报 ›› 2023, Vol. 33 ›› Issue (8): 182-189.doi: 10.16265/j.cnki.issn1003-3033.2023.08.1356

• 公共安全 • 上一篇    下一篇

机场旅客安检系统可靠性优化研究

赵振武(), 王军杰, 张怡   

  1. 中国民航大学 安全科学与工程学院,天津 300300
  • 收稿日期:2023-02-15 修回日期:2023-05-21 出版日期:2023-10-08
  • 作者简介:

    赵振武 (1977—),男,山东潍坊人,博士,副教授,主要从事机场安全、民航旅客安检、航空货运安保等方面的研究。E-mail:

  • 基金资助:
    天津市教委科研计划项目(2021SK025)

Research on reliability optimization of airport passenger security system

ZHAO Zhenwu(), WANG Junjie, ZHANG Yi   

  1. School of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
  • Received:2023-02-15 Revised:2023-05-21 Published:2023-10-08

摘要:

为提高机场旅客安检系统的可靠性,采用双设备并联安检系统,通过式金属门和毫米波人体成像设备分别被配置在安检通道的两侧;利用概率论构建系统错误放行率和错误报警率公式,以错误放行率的大小衡量安检系统的可靠性;在错误报警率和设备检查时间的约束下,以最小错误放行率为目标建立优化模型,利用粒子群优化(PSO)算法求解模型。结果表明:当模型以最佳设备报警阈值、旅客分配阈值运行时,算法每次优化的错误放行率在0.008 50.01范围内波动;当携带违禁品的旅客比例增加时,最低错误放行率将升高;当错误报警率的上限值增加时,最低错误放行率先降低后趋于稳定。

关键词: 机场旅客, 安检系统, 可靠性, 优化模型, 错误放行率, 错误报警率

Abstract:

In order to improve the reliability of the airport passenger security system, the dual-device parallel security system was adopted. The security system consisted of a walk-through metal door and the millimeter wave body imaging device. According to the performance indicators of each equipment and passenger allocation rules, the system's false clear rate and false alarm rate were constructed by using probability theory. Formulating an optimization model of minimizing false clear rate, the particle swarm optimization(PSO) algorithm was used to solve problems limited by false alarm rate and device inspection time. The results show that using optimal decision variables can make the minimum false clear rate fluctuate in the range of 0.008 5-0.01. When the proportion of passengers carrying threat items increases, the minimum false clear rate will increase. When the upper limit of false alarm rate increases, the minimum false clear will first decrease and then stabilize.

Key words: airport passenger, security system, reliability, optimization model, false clear rate, false alarm rate