Lv Zhihan, Qiao Liang, Li Yuxi, Yuan Yong, Wang Fei-Yue
Department of Game Design, Faculty of Arts, Uppsala University, Visby 62167, Sweden.
College of Computer Science & Technology, Qingdao University, Qingdao 266071, China.
Patterns (N Y). 2022 May 13;3(5):100468. doi: 10.1016/j.patter.2022.100468.
The development of Digital Twins has enabled them to be widely applied to various fields represented by intelligent manufacturing. A Metaverse, which is parallel to the physical world, needs mature and secure Digital Twins technology in addition to Parallel Intelligence to enable it to evolve autonomously. We propose that Blockchain combined with other areas does not simultaneously require all of the basic elements. We extract the immutable characteristics of Blockchain and propose a secure multidimensional data storage solution called BlockNet that can ensure the security of the digital mapping process of the Internet of Things, thereby improving the data reliability of Digital Twins. Additionally, to address some of the challenges faced by multiscale spatial data processing, we propose a nonmutagenic multidimensional Hash Geocoding method, allowing unique indexing of multidimensional information and avoiding information loss due to data dimensionality reduction while improving the efficiency of information retrieval and facilitating the implementation of the Metaverse through spatial Digital Twins based on these two studies.
数字孪生的发展使其能够广泛应用于以智能制造为代表的各个领域。与物理世界并行的元宇宙，除了并行智能外，还需要成熟且安全的数字孪生技术，以使其能够自主发展。我们提出，区块链与其他领域结合时，并不需要同时具备所有基本要素。我们提取了区块链的不可变特征，并提出了一种名为BlockNet的安全多维数据存储解决方案，该方案可以确保物联网数字映射过程的安全性，从而提高数字孪生的数据可靠性。此外，为解决多尺度空间数据处理面临的一些挑战，我们提出了一种非诱变多维哈希地理编码方法，允许对多维信息进行唯一索引，避免因数据降维导致的信息丢失，同时提高信息检索效率，并基于这两项研究通过空间数字孪生促进元宇宙的实现。
