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Smart City Platform: A Comprehensive System for Spatial Data Infrastructure

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A comprehensive platform for seamless fusion, AI-based urban object cognition, visualisation and analysis of massive 3D urban models, and spatial big data analytics

Incorporating patented technologies of 3D city modelling, AI-based urban object cognition, as well as spatial big data analytics and visualisation, the Smart City Platform can be used to acquire and process massive urban spatial information, 3D LiDAR data, and multiscale image data to create high-precision and realistic smart city data infrastructure. The platform supports various smart city applications to aid governmental policy making, environmental management, transport optimisation, citizen services, etc. Latest developments of the platform include:

  • A model, which was published internationally, for predicting the COVID-19 symptom onset risk in 7 days in 291 Territory Planning Units in Hong Kong;
  • A lightweight 3D spatial data acquisition system that can be used in outdoor and indoor 3D city modelling, construction of Building Information Models (BIMs), and urban renewal;
  • A series of artificial intelligence technologies to recognise buildings, roads and other urban objects. The technologies have
    been applied to landslide recognition in Hong Kong to support governmental disaster mitigation.

Special Features and Advantages

  • Integration of indoor, outdoor, aboveground, underground and spatiotemporal dynamic 3D city models on a comprehensive platform
  • Lightweight 3D data capture technologies in a backpack, with centimeter-level accuracy, suitable for measuring complicated 3D urban environment
  • Prediction of spatiotemporal distributions of COVID-19 symptom onset risk, which is more timely than predicting confirmed cases
  • More efficient and accurate urban object recognition technologies based on artificial intelligence

Applications

  • 3D city measurement and modelling 
  • Multidisciplinary big data analytics for city planning, urban analysis, transportation analysis, crowd flow analysis, environmental analysis, and public health
  • BIM development (including aged buildings) for urban planning and urban renewal
  • Disaster mitigation, e.g., AI-based rapid landslide recognition

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