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Application of Military Weather Thresholding and Big Data Analytics to Civil Trajectory-Based Weather Avoidance Rerouting

机译:军事气象阈值和大数据分析在基于民航轨迹的气象避险重路由中的应用

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This year, ATCA is co-locating its 59th Annual Conference & Exposition with the Civil/Military Aviation Conference (CMAC). While there are many operational issues faced by both civil and military air traffic management (ATM), weather will continue to impact efficient and predictable air operations in the civil side as well as successful mission objectives on the military side. Thus, the timing is right to consider weather avoidance and resolution technologies developed for the military to civil air traffic control challenges and vice-versa. The challenge with military systems is that, by their operational requirements, publication even of non-classified components such as weather decision support tools is not widely known. Review of related work shows that all three services (Army, Navy and Air Force) have each developed a version of a weather avoidance decision aid embedded in operational command and control systems. An encouraging aspect of this development is that these weather tools are open geospatial consortium (OGC) compliant data models and are built using web services so the potential for re-use is possible.
机译:今年,ATCA与民航/民航会议(CMAC)共同举办了第59届年会暨博览会。尽管民用和军用空中交通管理(ATM)都面临许多运营问题,但天气将继续影响民用方面的有效和可预测的空中运营以及军事方面成功的任务目标。因此,是时候考虑为军事到民用空中交通管制的挑战而开发的天气回避和解决技术的正确时机,反之亦然。军事系统面临的挑战是,根据其操作要求,甚至不公开发布诸如天气决策支持工具之类的未分类组件。对相关工作的回顾表明,所有三个部门(陆军,海军和空军)均已开发出一种嵌入在作战指挥与控制系统中的天气回避决策辅助工具。这种发展的一个令人鼓舞的方面是,这些天气工具是开放式地理空间联盟(OGC)兼容的数据模型,并使用Web服务构建,因此有可能被重用。

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