Innovating Airport Luggage Disinfection Systems with Advanced Technologies and Automation

IF 2.3 4区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Systems Pub Date : 2024-09-02 DOI:10.3390/systems12090345
Samer Al-Rabeei, Michal Hovanec, Volodymyr Tymofiiv, Juraj Horkay
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引用次数: 0

Abstract

In this article, we point out that luggage disinfection is a key step in stopping the spread of infectious diseases that can be contracted at airports due to viruses and bacteria, which can spread through passenger luggage at airports. To prevent the spread of respiratory infections at airports, in this research study, we compare two types of baggage disinfection system. The first method uses UV light to disinfect luggage while selectively checking it for the presence of bacteria and viruses. The second system uses non-selective disinfection, taking into account the possibility of the spread of disease from the aircraft’s home country. An analysis and simulation of a specific airport security procedure was carried out on the model under study, which is an automated system for disinfecting baggage at airports in two variants. The aim is to reduce the transmission of harmful diseases and, at the same time, to ensure the accuracy of passenger security screening by efficiently exhausting each of the proposed models. This research shows that the suggested measures to stop the spread of infectious diseases that travelers’ luggage can bring in will enhance screening procedures and, in particular, boost overall security while lowering the risk of infection transmission at airports.
利用先进技术和自动化创新机场行李消毒系统
在这篇文章中,我们指出行李消毒是阻止机场传染病传播的关键步骤,因为病毒和细菌会通过旅客行李在机场传播。为防止呼吸道传染病在机场传播,在本研究中,我们对两种行李消毒系统进行了比较。第一种方法使用紫外线对行李进行消毒,同时选择性地检查行李中是否存在细菌和病毒。第二种系统采用非选择性消毒,同时考虑到疾病从飞机母国传播的可能性。在研究模型上对特定的机场安全程序进行了分析和模拟,该模型是机场行李消毒自动系统的两个变体。目的是减少有害疾病的传播,同时通过有效地用尽每个建议的模型,确保旅客安检的准确性。这项研究表明,为阻止旅客行李可能带来的传染病传播而建议采取的措施将加强安检程序,特别是在降低机场传染病传播风险的同时提高整体安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Systems
Systems Decision Sciences-Information Systems and Management
CiteScore
2.80
自引率
15.80%
发文量
204
审稿时长
11 weeks
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