用于飞机库主动安全的实时数字孪生系统

IF 3.2 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING Frontiers in virtual reality Pub Date : 2024-04-03 DOI:10.3389/frvir.2024.1372923
Luke Casey, John Dooley, Michael Codd, Rozenn Dahyot, Marco Cognetti, Thomas Mullarkey, Peter Redmond, Gerard Lacey
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引用次数: 0

摘要

航空航天业将安全协议放在首位,以防止可能导致人员伤亡或飞机损坏的事故发生。在飞机进出机库时可能发生的潜在危险之一是与其他飞机或建筑物发生碰撞,这可能导致运行中断和昂贵的维修费用。为了解决这个问题,我们开发了智能机库项目,旨在提醒工作人员注意增加的风险,防止事故发生。智能机库项目使用计算机视觉、激光雷达和超宽带传感器来跟踪机库空间内的所有物体和人员。这些数据输入组合在一起,形成了机库环境的实时三维数字孪生(DT)。然后,主动安全系统使用 DT 为拖车司机和机库人员执行实时路径规划、碰撞预测和安全警报。本文详细概述了系统架构,包括所使用的技术,并重点介绍了系统的性能。通过实施该系统,我们旨在降低航空航天业的事故风险,提高所有相关人员的安全性。此外,我们还确定了智能机库项目未来的研究方向。
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A real-time digital twin for active safety in an aircraft hangar
The aerospace industry prioritises safety protocols to prevent accidents that can result in injuries, fatalities, or aircraft damage. One of the potential hazards that can occur while manoeuvring aircraft in and out of a hangar is collisions with other aircraft or buildings, which can lead to operational disruption and costly repairs. To tackle this issue, we have developed the Smart Hangar project, which aims to alert personnel of increased risks and prevent incidents from happening. The Smart Hangar project uses computer vision, LiDAR, and ultra-wideband sensors to track all objects and individuals within the hangar space. These data inputs are combined to form a real-time 3D Digital Twin (DT) of the hangar environment. The Active Safety system then uses the DT to perform real-time path planning, collision prediction, and safety alerts for tow truck drivers and hangar personnel. This paper provides a detailed overview of the system architecture, including the technologies used, and highlights the system’s performance. By implementing this system, we aim to reduce the risk of accidents in the aerospace industry and increase safety for all personnel involved. Additionally, we identify future research directions for the Smart Hangar project.
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CiteScore
5.80
自引率
0.00%
发文量
0
审稿时长
13 weeks
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