郭仁忠, 林浩嘉, 贺彪, 赵志刚. 面向智慧城市的GIS框架[J]. 武汉大学学报 ( 信息科学版), 2020, 45(12): 1829-1835. DOI: 10.13203/j.whugis20200536
引用本文: 郭仁忠, 林浩嘉, 贺彪, 赵志刚. 面向智慧城市的GIS框架[J]. 武汉大学学报 ( 信息科学版), 2020, 45(12): 1829-1835. DOI: 10.13203/j.whugis20200536
GUO Renzhong, LIN Haojia, HE Biao, ZHAO Zhigang. GIS Framework for Smart Cities[J]. Geomatics and Information Science of Wuhan University, 2020, 45(12): 1829-1835. DOI: 10.13203/j.whugis20200536
Citation: GUO Renzhong, LIN Haojia, HE Biao, ZHAO Zhigang. GIS Framework for Smart Cities[J]. Geomatics and Information Science of Wuhan University, 2020, 45(12): 1829-1835. DOI: 10.13203/j.whugis20200536

面向智慧城市的GIS框架

GIS Framework for Smart Cities

  • 摘要: 物理空间和社会空间共同构成人类社会的二元空间。随着信息通信技术的迅速发展与普及应用,信息空间成长为第三空间,并与物理空间和社会空间共同构成人类社会的三元空间。智慧城市是三元空间条件下城市的智慧化转型,基本工程逻辑是建立城市物理空间和社会空间到信息空间的映射,再通过信息空间回馈物理空间和社会空间,进而优化城市系统,解决城市问题。地理信息系统(geographic information system,GIS)是以空间视角刻画和表达物理空间和社会空间的技术科学,通过GIS建立三元空间的关联,将是智慧城市建设的逻辑基础。分析了面向智慧城市的GIS在数字化、可视化、智能化和开放式开发框架等方面的技术需求,提出了面向智慧城市的GIS框架,探讨了需要重点聚焦的统一数据平台构建、数字孪生及可视化、双向同步的空间智能、开放式平台服务等关键研究内容。

     

    Abstract: Physical space and social space constitute the dual space of human society. With the rapid development and popularization of information and communication technology (ICT), information space has grown into the third space, which constitutes the ternary space of human society together with physical space and social space. Smart cities are the intelligent transformation of cities under the condition of ternary space. Its basic engineering logic is to establish the mapping from physical space and social space to information space, and then feedback physical space and social space through information space to optimize the urban system and solve the urban problems. Geographic information system (GIS) is a technical science that depicts and expresses physical space and social space from the perspective of space. Establishing the intrinsic relationship of ternary space through GIS will be the logical basis for the construction of smart cities. Firstly, the GIS technology requirements of smart cities is analyzed from four aspects: Digitization, intelligence, visualization and openness. Then, a GIS framework for smart cities is proposed, the core of which is shielding complex heterogeneous data downwards and enabling diverse applications upwards. Finally, the key research contents that need to be focused on is discussed, including unified urban data platform construction, digital twins and visualization, two-way synchronized spatial intelligence, and open platform services.

     

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