Smart city has gradually become a new form of urbanization,and the City Information Modeling(CIM),which is characterized by fusion of heterogeneous data from multiple sources in the city,is regarded as the key information infrastructure for the construction of smart city,and its construction and application have become the hotspot of practice and the frontier of research.However,CIM is facing prominent problems such as missing dynamic data,insufficient intelligent analysis capabilities,and limited ability to predict urban development due to the lack of effective integration and in-depth application with Artificial Intelligence of Things(AIoT)data.Therefore,this study takes the key technology of multimodal data fusion and intelligent analysis of CIM and AIoT as the research object,analyzes the fundamental reasons restricting the data fusion of CIM and AIoT through the summary of the existing research progress and the analysis of the practice cases,and then looks forward to the three key technologies to solve the problem:the full-life-cycle governance of the multimodal heterogeneous data oriented to the CIM and AIoT,the visualization and simulation analysis of the AIoT data based on the basic platform of the CIM,and the construction of the intelligent analysis and the development prediction model of the multimodal data fusion.This study aims to improve the CIM technology system and expand the business applications based on the CIM foundation platform,with a view to providing support for the scientific and refined urban governance to a higher degree.
关键词
城市信息模型(CIM)/智能物联网(AIoT)/数据融合与分析
Key words
City Information Modeling(CIM)/Artificial Intelligence of Things(AIoT)/Data Fusion and Analysis
维普
万方数据