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Innovative airport 4.0 condition-based maintenance system for baggage handling DCV systems

机译:创新的基于机场4.0状态的维护系统,用于行李处理DCV系统

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Purpose - The purpose of this paper is to present the findings of a recent study conducted with the objective of addressing the problem of failure of baggage carts in the high-speed baggage tunnel at Heathrow Terminal 5 by the development of an innovative condition-based maintenance (CBM) system designed to meet the requirements of 21st century airport systems and Industry 4.0. Design/methodology/approach - An empirical experimental approach to this action research was taken to install a vibration condition monitoring pilot test in the north tunnel at Terminal 5. Vibration data were collected over a 6-month period and analysed to find the threshold of good quality tyres and those with worn bearings that needed replacement. The results were compared with existing measures to demonstrate that vibration monitoring could be used as a predictive model for CBM. Findings - The findings demonstrated a clear trend of increasing vibration velocity with age and use of the baggage cart wheels caused by wheel mass unbalanced inertia that was transmitted to the tracks as vibration. As a result, preventative maintenance is essential to ensure the smooth running of airport baggage. This research demonstrates that a healthy wheel produces vibration of under 60mm/s whereas a damaged wheel measures up to 100 mm/s peak to peak velocity and this can be used in real-time condition monitoring to prevent baggage cart failure. It can also run as an autonomous system linked to AI and Industry 4.0 airport logic. Originality/value - Whilst vibration monitoring has been used to measure movement in static structures such as bridges and used in rotating machinery such as railway wheels (Tondon and Choudhury, 1999); this is unique as it is the first time it has been applied on a stationary structure (tracks) carrying high-speed rotating machinery (baggage cart wheels). This technique has been patented and proven in the pilot study and is in the process of being rolled out to all Heathrow terminal connection tunnels. It has implications for all other airports worldwide and, with new economic sensors, to other applications that rely on moving conveyor belts.
机译:目的-本文的目的是介绍一项近期研究的结果,旨在通过开发基于状况的创新性维护来解决希思罗机场5号航站楼高速行李隧道中行李车的故障问题(CBM)系统旨在满足21世纪机场系统和工业4.0的要求。设计/方法/方法-采取了这项实验研究的经验实验方法,在5号航站楼的北隧道中安装了振动状态监测先导测试,并在6个月的时间内收集了振动数据并进行了分析,以找出合格的阈值。优质轮胎以及那些需要更换轴承的轴承。将结果与现有措施进行比较,以证明振动监测可用作煤层气的预测模型。调查结果-调查结果显示出明显的趋势,即随着车轮质量和惯性的不平衡惯性(随振动传递给轨道),随着年龄的增长和行李车轮子的使用,振动速度会增加。因此,预防性维护对于确保机场行李的平稳运行至关重要。这项研究表明,健康的轮子产生的振动小于60mm / s,而损坏的轮子的峰峰值速度高达100mm / s,可用于实时状态监测以防止行李车故障。它也可以作为链接到AI和Industry 4.0机场逻辑的自治系统运行。独创性/价值-虽然振动监测已用于测量桥梁等静态结构中的运动,并已用于铁路车轮等旋转机械中(Tondon和Choudhury,1999年);这是独一无二的,因为这是首次将其应用于承载高速旋转机械(行李车轮子)的固定结构(轨道)上。该技术已获得专利并在初步研究中得到证明,并且正在推广到所有希思罗机场终端连接隧道中。它对全球所有其他机场以及具有新型经济传感器的其他依赖于移动传送带的应用都有影响。

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