| 北斗与高分融合的数字孪生地球 |
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| 引用本文： | 刘光明,胡煜,沙峰,谢国钧,成伟.北斗与高分融合的数字孪生地球[J].全球定位系统,2022,47(4):39-45. |
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| 作者姓名： | 刘光明 胡煜 沙峰 谢国钧 成伟 |
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| 作者单位： | 1.中科星图空间技术有限公司, 西安 710100 |
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| 摘 要： | 本文阐述了数字孪生地球的起源、概念、构建和发展，重点探讨了北斗、高分、数字孪生与数字地球的融合. 基于通信和计算机等共性信息基础设施，将数字孪生地球的构建分为6个步骤:全链可信时空、全息精准映射、实时泛在感知、多模数据融合、单体时空智慧和全域共智共治. 针对时空大数据从采集到应用都具有分布式特点，提出了利用“北斗+区块链”技术解决业务协作中的信任问题. 指出了高分实现虚实地球间的全息镜像，北斗作为高分产品传递时空基准，实现了虚实地球间的精准映射；另外，北斗和高分也是实现时空态势感知的主要技术. 针对海量时空大数据对数据操作和融合带来的挑战，指出了北斗网格位置码是更有效的数据组织模式. 介绍了利用时空大数据驱动人工智能(AI)和模拟仿真，可为规划、设计和决策提供最优方案. 分析了单体智慧的存在重复建设和资源浪费等问题，指出了数字孪生地球是跨界融合各种异构单体智慧，实现全域共智共治的时空底座.
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| 关 键 词： | 北斗卫星导航系统(BDS) 高分辨率对地观测卫星 区块链 数字地球 数字孪生 |
| 收稿时间： | 2022-03-01 |
The digital twin earth fusioning BDS and GF |
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| Institution: | 1.Geovis Spatial Technology Co., Ltd., Xi’an 710100, China2.Shaanxi Provincial Military-Civilian Integration Information Center, Xi’an 710100, China |
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| Abstract: | This paper expounds the origin, concept, construction and development of digital twin earth, especially the integration of BeiDou Satellite Naviation System (BDS) and GF, digital twin and digital earth. Based on common information infrastructure such as communication and computer, the construction of digital twin earth is divided into six steps: full-chain credible space-time, holographic precision mapping, real-time ubiquitous perception, multi-module data fusion, single spatio-temporal intelligence, and all-domain shared intelligence and governance. In view of the distributed characteristics of spatio-temporal big data from collection to application, the “BDS + block chain” technology is proposed to solve the trust problem in business collaboration. It is pointed out that GF realizes the holographic image between the virtual and real earth, and BDS delivers the space-time datum for products of GF, realizing the accurate mapping between the virtual and real earth. In addition, BDS and GF are also the main technologies to realize space-time situation awareness. In view of the challenges brought by massive spatio-temporal big data to data operation and fusion, it is pointed out that grid location code of BDS is a more effective data organization mode. This paper introduces artificial intelligence and simulation driven by spatio-temporal big data, which can provide optimal scheme for planning, design and decision making. This paper analyzes the problems of duplication construction and resource waste of single intelligence, and points out that digital twin earth is the temporal and spatial base for the cross-border integration of various heterogeneous single intelligence and the realization of all-domain shared intelligence and governance. |
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