时空对象行为驱动的城市感知设施虚实联动交互控制方法  

A Method for Spatiotemporal Object Behavior-Driven Interactive Control of Urban Sensing Facilities with Virtual-Reality Integration

作　　者：杨飞[1] 李响[2] 曹一冰[2] 赵鑫科 王丽娜 吴烨 YANG Fei;Li Xiang;CAO Yibing;ZHAO Xinke;WANG Lina;WU Ye(Department of Electronic Science,National University of Defense Technology,Changsha 410000,China;Department of Geographic Information Engineering,Information Engineering University,Zhengzhou 450052,China;Department of Computer and Communication Engineering,Zhengzhou University of Light Industry,Zhengzhou 450000,China)

机构地区：[1]国防科技大学电子科学学院,长沙410000 [2]战略支援部队信息工程大学地理空间信息学院,郑州450052 [3]郑州轻工业大学计算机与通信工程学院,郑州450000

出　　处：《地球信息科学学报》2024年第3期543-555,共13页Journal of Geo-information Science

基　　金：国家自然科学基金(42201490);国家重点研发计划项目(2021YFB3900900)。

摘　　要：基于时空数据模型来描述现实世界的时空实体,以及基于时空对象的行为能力建模来控制时空实体的行为动作,既是对GIS时空数据模型的创新扩展,也能够适应数字孪生城市建设中对人、机、物三元融合表达和交互分析的现实需求。作为城市基础设施的重要组成部分,城市感知设施是典型的时空实体,其交互控制的相关研究目前主要集中于物联网、VR/AR以及GIS领域,而这些领域普遍缺失对基于GIS构建的数字世界中城市感知设施的交互控制研究。针对上述问题,基于全空间信息系统的多粒度时空对象数据模型对城市感知设施的行为能力进行建模,在此基础上提出一种时空对象行为驱动的城市感知设施虚实联动交互控制方法。通过构建设施时空对象的交互控制“五元组”模型,能够支持用户通过虚拟场景与设施实物之间的虚实联动交互控制,从而将基于直接通信指令的城市感知设施交互控制过程在数字世界中进行表达,为数字孪生城市中的感知设施智能化、交互式分析应用提供理论与技术支撑。实验结果表明,所提出的城市感知设施交互控制方法具备有效性与可行性。In recent years, with the continuous development and rapid iteration of emerging technologies such asmobile communication, big data, the Internet of Things (IoT), Artificial Intelligence (AI), digital twins, andautonomous driving, new smart cities have become a significant frontier in the field of Geographic InformationSystems (GIS) applications. Digital twin cities represent a complex integrated technological system thatunderpins the development of next- generation smart cities. Intelligent, holistic mapping for digital twin citiesrelies on comprehensive urban sensing, and the interactive control of urban sensing facilities plays a pivotal rolein achieving the seamless integration of the physical and digital aspects of digital twin cities, fostering theconvergence of entities within the urban environment. Describing spatiotemporal entities of the real worldthrough a spatiotemporal data model, as well as modeling the behavioral capabilities of these entities usingspatiotemporal object behavior, represents not only an innovative extension of GIS spatiotemporal data modelsbut also addresses the practical requirements of triadic fusion and interactive analysis of human, machine, andobject components with the development of digital twin city. As a crucial facet of urban infrastructure, urbansensing facilities epitomize distinctive spatiotemporal entities. Current research into the interactive control ofthese facilities is predominantly concentrated within the domains of the IoT, Virtual Reality/Augmented Reality(VR/AR), and GIS. However, these domains often lack research pertaining to interactive control of urban sensing facilities within the GIS-based digital realm. To tackle these issues, a viable approach involves mappingthe direct physical control processes of humans over objects in the Internet of Things domain to the realm ofGIS. Specifically, this involves using a GIS spatiotemporal data model to abstractly represent urban sensingfacilities in the real world as spatiotemporal entities. These entities are then

关 键 词：数字孪生城市 城市感知设施 时空数据模型 时空对象 行为能力 行为组件 交互控制 

分 类 号：P208[天文地球—地图制图学与地理信息工程]