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

机译:军用天气阈值和大数据分析在民用轨迹的天气避免重新路由中的应用

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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与民事/军事航空大会(CMAC)共同定位其第59届年度会议和博览会。虽然民用和军事空中交通管理(ATM)面临着许多业务问题,但天气将继续影响民事方面的高效和可预测的空中行动以及军事方面的成功目标。因此,考虑为军队发展到民用空中交通管制挑战和反之亦然的天气避免和解决技术的时间是正确的。军事系统的挑战是,通过其运行要求,即使是天气决策支持工具等非分类组件的出版也不广泛。相关工作审查表明,所有三个服务(陆军,海军和空军)各自开发了嵌入在操作指挥和控制系统中的天气避免决策辅助的版本。这一发展的一个令人鼓舞的方面是,这些天气工具是开放的地理空间联盟(OGC)兼容数据模型,并使用Web服务构建,因此可以进行重新使用的可能性。

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