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A survey of applicability of military data model architectures for smart city data consumption and integration

机译：军事数据模型架构在智慧城市数据消费和集成中的适用性调查

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The demographic patterns show a rapid influx of human populations to the cities owing to financial, social, medical and other factors. To accommodate the unprecedented rise in population, city administrations around the world are looking for appropriate solutions to cope with the rising challenges. One of the approaches is to make the cities smarter and thus improving the organization, administration and availability of services and resources. In such a Smart City, a large spectrum of deployed sensors and smart objects record, analyse and exchange data. The collected information is processed, forwarded and analyzed in order to implement applications and services that alleviate the city's organization and management or provide additional benefit to the inhabitants. Also with the growing population, it becomes more complex to protect and serve the city's inhabitants and their assets in cases of emergency and adversities such as natural disasters, terrorist and insurgent attacks. In these cases, an existing Smart City infrastructure can greatly assist emergency forces like relief units or supporting military forces by providing the data it already has. In order to incorporate the additional data of the Smart City into the situational picture of the operational forces, suitable points of integration have to be defined and implemented. In this paper, we examine whether existing data models used in the military domain are suitable to integrate the additional Smart City data into the military information domain. In particular, we focus on standardized data models and distribution methods used in federated mission networking within NATO. This ensures a high compatibility to existing situational awareness and information processing applications that are used by the different NATO nations.
机译：人口结构表明，由于金融，社会，医疗和其他因素，人口迅速涌入城市。为了适应前所未有的人口增长，世界各地的城市行政管理部门都在寻找适当的解决方案来应对不断增长的挑战。一种方法是使城市更智能，从而改善服务和资源的组织，管理以及可用性。在这样的智能城市中，大量部署的传感器和智能对象可以记录，分析和交换数据。处理，转发和分析收集到的信息，以实施减轻城市组织和管理或为居民带来更多利益的应用程序和服务。同样，随着人口的增长，在紧急情况和自然灾害，恐怖主义和叛乱袭击等逆境中，保护和服务城市居民及其财产变得更加复杂。在这些情况下，现有的智慧城市基础设施可以通过提供已有的数据来极大地协助应急部队，如救援部队或支持军事部队。为了将智能城市的其他数据整合到作战部队的态势图中，必须定义和实施合适的整合点。在本文中，我们研究了军事领域中使用的现有数据模型是否适合将其他智能城市数据集成到军事信息领域中。特别是，我们专注于北约内部联合任务网络中使用的标准化数据模型和分发方法。这确保了与不同北约国家所使用的现有态势感知和信息处理应用程序的高度兼容性。

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