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作 者:刘冠 LIU Guan(Beijing Daxing International Airport of Capital Airport Holdings Limited,Beijing 102604,China)
机构地区:[1]首都机场集团有限公司北京大兴国际机场,北京102604
出 处:《民航学报》2024年第2期134-139,共6页Journal of Civil Aviation
基 金:中国民航大学“新一代安保技术研究”。
摘 要:随着疫情的结束,机场吞吐量正呈现出稳步上升的趋势。同时机场安保问题的复杂性和严峻性也随之日益突出。本文将关注态势推演技术在机场安保业务中的潜在应用。作为一种能够模拟和预测复杂系统动态行为的先进技术,态势推演技术具有解决机场安保问题的独特优势。本文首先对多智能代理仿真技术、火势预测算法、视频识别技术、路径规划算法和人群密度估计等技术进行深入的理论研究,并探讨它们在机场安保业务中的实际应用。通过在机场航站楼火势蔓延场景下使用态势感知技术的案例分析,证明这些技术能够有效地提升安保决策的速度和准确性,从而极大地提高机场的安全水平。With the end of the pandemic,airport traffic is showing a steady upward trend.Meanwhile,the complexity and severity of airport security issues are becoming increasingly prominent.This article focuses on the potential applications of situation projection technology in airport security operations.As an advanced technology capable of simulating and predicting dynamic behavior of complex systems,situation projection technology has unique advantages in addressing airport security challenges.This paper first carries out a theoretical study of multi-agent simulation,fire behavior prediction algorithms,video recognition technology,path planning algorithms and crowd density estimation,and explores their applications in airport security operations.Through a case study using situational awareness technology in the scenario of fire spread in an airport terminal,it is demonstrated that these technologies can effectively enhance the speed and accuracy of security decision-making,thus significantly improving safety of airports.
关 键 词:机场安保 态势推演技术 多智能代理仿真 火势预测算法
分 类 号:X951[环境科学与工程—安全科学]
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