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符合 ISOBAR 标准.pdf

上传人: 哆哆 编号:631239 2025-04-19 17页 2.39MB

1、?ISOBAR ComplianceFLY AI Forum22nd-23rdApril 2025Benjamin CRAMETMihai OGICAEUROCONTROLIt all started from thereiFlow and ISOBAR 181How does it look like?NM Lab Presentation182How does it look like?NM Lab Presentation183How does it look like?NM Lab Presentation184WeatherDemandAirspaceCategorisation(R

2、andom Forest)Regressor(XGBoost)?iFlow and ISOBAR 186?iFlow and ISOBAR 187?The end-users of the ISOBAR project are the Deputy Operation Managers(DOMs),who are responsible for monitoring and managing the European Network.The end-users can use the predictions from the ISOBAR models,the EUMETNET and ICO

3、Nv weather prediction to enhance their understanding about capacity in engaging with FMPs.The end-users can also provide feedback and suggestions to improve the ISOBAR project.iFlow and ISOBAR 188?The operational environment of the ISOBAR project is the European airspace,where weather events can cau

4、se disruptions and delays in air traffic flow and capacity.The ISOBAR project is integrated into the existing Cross Border Weather procedure,which aims to reduce weather-related air traffic flow and capacity management(ATFCM)delays.Scenario 1:DOM in action Scenario 2:Monitoring/Digital TwiniFlow and

5、 ISOBAR 189?Weather does not occur where we think it willRegulation can be placed at other places than the weather to protect flowsMetrics are computed at ACC level for:Classifier Confusion matrix,recal,F1 RegressorRMSE,MAEiFlow and ISOBAR 190?It is an enabler to engage into constructive discussion

6、with end-usersLearning Assurance objectives very useful for the design and usage of data pipeline Several objectives appear as not in correlation of the safety impact of the AI modelInformation to be provided is very into data-science and requires a deep knowledge of AI which app

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本文介绍了ISOBAR项目,该项目旨在提高欧洲空域的管理效率。关键点包括:1. 项目用户为负责监控和管理欧洲网络的副运营经理(DOMs)。2. DOMs可利用ISOBAR模型的预测以及EUMETNET和ICONv的天气预报,以增强对空中交通流量和容量管理的理解。3. DOMs还可以为改进ISOBAR项目提供反馈和建议。4. 项目的操作环境为欧洲空域,通过整合到现有的跨境天气程序中,旨在减少由天气引起的空中交通流量和容量管理(ATFCM)的延误。5. ISOBAR项目基于iFLOW工具,在非运营计算机上运行,只允许B2B READ访问运营系统,帮助工作人员更好地理解在类似天气情况下可能实施的ACC规定。6. 该项目遵循EASA关于1级和2级机器学习应用的概念指导文件,并选择了与SWAL 4相对应的目标。7. 建议对于低风险应用,选择AI保证目标的一个子集以简化流程。
"ISOBAR项目如何提高航空交通管理效率?" "AI在航空交通管理中的安全支持如何实现?" "EASA概念指导文件对AI在航空交通中的应用有何影响?"
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