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INTEGRATION OF 3D CITY MODEL AND SENSOR OBSERVATIONS BASED ON INTERNATIONAL OPEN STANDARDS

机译:基于国际公开标准的3D城市模型与传感器观测集成

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Smart cities effectively integrates human, physical and digital systems operating in the built environment to provide automatic and efficient applications. While 3D city and landscape modelling. Internet of Things (IoT). and domain models are essential techniques of smart cities, the integration of IoT sensor observations and 3D city models is a central information backbone for smart city cyber-infrastructures. However, we argue that most of the existing solutions integrating 3D city models and sensor observations are usually customized and lack of interoperability. In order to improve the interoperability between smart city modules, this study first utilizes 3D city model and IoT web service open standards, and then analyzes integration strategies as well as their pros and cons. In general, we have identified three main strategies: (1) embeddedness approach. (2) external reference approach, and (3) external join approach. These strategies are implemented by integrating the Open Geospatial Consortium (OGC) CityGML and IndoorGML 3D city models and the OGC SensorThings API web service. As the CityGML and IndoorGML models provide 3D building geometry for visualization and indoor networks for navigation, the SensorThings API service provides sensor observations from IoT devices. Finally, based on the implementation, the advantages and disadvantages of each strategy are analyzed by comparing their data sizes and display performance.
机译:智能城市有效地集成了在建筑环境中运行的人类,物理和数字系统,提供自动和高效的应用。而3D城市和景观建模。事情互联网(物联网)。域模型是智能城市的基本技巧,IOT传感器观测和3D城市模型的集成是智能城市网络基础设施的中央信息骨架。但是,我们认为,大多数现有解决方案集成了3D城市模型和传感器观测的通常是定制的,并且缺乏互操作性。为了提高智能城域模块之间的互操作性,本研究首先利用了3D城市模型和物联网服务开放标准,然后分析了集成策略以及他们的优势和缺点。一般来说,我们已经确定了三个主要策略:(1)嵌入式方法。 (2)外部参考方法,和(3)外部加入方法。这些策略是通过集成开放的地理空间联盟(OGC)CityGML和IndoorGML 3D城市模型和OGC SenseDronings API Web服务来实现的。随着CityGML和Indoorgml型号为可视化和室内网络提供3D构建几何,SenseDronsings API Service提供了IoT设备的传感器观察。最后,基于实现,通过比较其数据尺寸和显示性能来分析每个策略的优点和缺点。

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