雨下全球报告格式自动化:利用集成传感和通信技术实时监测跑道状况

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Engineering reports : open access Pub Date : 2025-03-11 DOI:10.1002/eng2.70043
Dieudonné Sama, Doua Allain Gnabahou, Ali Ganame
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引用次数: 0

摘要

跑道雨水膜深度是国际民航组织(ICAO)自2021年开始实施的全球报告格式(GRF)应用的重要数据之一。然而,如何在不影响飞机起飞和降落的情况下向飞行员提供实时跑道状况报告(RCR)仍然是所有机场运营商面临的挑战。本文设计了一个集成传感与通信(ISAC)系统来实现GRF的自动应用。该系统包括天线,由传感器检测到的雨水信号强度衰减会被回收,从而自动实时测量跑道上雨水的深度。测量时,数据会立即计算出来,通过可视界面(屏幕)显示雨量和跑道情况,供机场跑道检查员理解和使用。所开发的系统是全自动的,专为雨季使用而设计。该系统使用树莓派4型号B作为计算机,Arduino纳米,天线信号和雨滴传感器,更不用说作者开发的Python代码了。结果表明,使用ISAC系统对跑道湿度状况进行实时监测非常简单,不再需要人工在场。结果还表明,本文所采用的方法是解决多雨地区GRF问题的合适方法,该问题对污染物深度测量的准确性提出了挑战。
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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Global Reporting Format Automation Under Rain: Runways Conditions Monitoring in Real-Time Using Integrated Sensing and Communication Technology

Rainwater film depth on runways is one of the important data for the application of Global Reporting Format (GRF) implemented since 2021 by International Civil Aviation Organization (ICAO) for runways' safety. However, it is still a challenge for all airport operators to provide a real-time Runway Conditions Report (RCR) to pilots without interfering with the aircraft take-off and landing. In this paper, an Integrated Sensing and Communication (ISAC) system has been designed to perform an automatic application of the GRF. The system involves antennas from which the signal strength attenuation due to rain (detected by a sensor) is retrieved to measure the depth of the rainwater on runways automatically and in real-time. While measuring, data are immediately computed to present the rain and the runway conditions via visual interface (screen) for the understanding and the use of the airport runway inspectors. The developed system is fully automatic and implemented specially to use during rainy time. The system uses a raspberry pi 4 model B as a computer, Arduino nano, antennas signals, and a raindrop sensor let alone the Python codes developed by the authors. Results obtained show that using the ISAC system to monitor runways' wetness conditions is very easy in real-time, and human presence on the runway is no longer needed. The results also show that the method used herein is the proper solution to the GRF issues in rainy areas, where the accuracy of the contaminant depth measurement is a challenge.

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审稿时长
19 weeks
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