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BlockNet: Beyond reliable spatial Digital Twins to Parallel Metaverse

Journal

PATTERNS
Volume 3, Issue 5, Pages -

Publisher

CELL PRESS
DOI: 10.1016/j.patter.2022.100468

Keywords

-

Funding

  1. National Natural Science Foundation of China [61902203]
  2. Science and Technology Development Fund, Macau SAR [0050/2020/A1]

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The development and application of Digital Twins in various fields have become widespread, including intelligent manufacturing. To create a parallel metaverse, mature Digital Twins technology and parallel intelligence are needed. This paper proposes a secure multidimensional data storage solution called BlockNet, which combines blockchain with other technologies to improve the reliability of Digital Twins. Additionally, a nonmutagenic multidimensional Hash Geocoding method is proposed to address challenges in multiscale spatial data processing and facilitate the implementation of the metaverse through spatial Digital Twins.
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.

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