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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

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BlockNet: Beyond reliable spatial Digital Twins to Parallel Metaverse.

Zhihan Lv¹, Liang Qiao², Yuxi Li²

¹Department of Game Design, Faculty of Arts, Uppsala University, Visby 62167, Sweden.

Patterns (New York, N.Y.)

|May 24, 2022

Summary

This study introduces BlockNet, a secure data storage solution using Blockchain, and a novel Hash Geocoding method. These innovations enhance the security and reliability of Digital Twins, crucial for developing the Metaverse.

Keywords:

Blockchain Digital Twins Geocode Parallel Metaverse

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Area of Science:

Computer Science
Information Technology
Cybersecurity

Background:

Digital Twins are increasingly vital in fields like intelligent manufacturing.
The Metaverse requires mature and secure Digital Twins technology for autonomous evolution.
Existing Digital Twins face challenges in secure data storage and multiscale spatial data processing.

Purpose of the Study:

To propose a secure multidimensional data storage solution for Digital Twins.
To develop an efficient method for processing multiscale spatial data in Digital Twins.
To facilitate the implementation of the Metaverse through enhanced spatial Digital Twins.

Main Methods:

Extraction of immutable characteristics from Blockchain to propose BlockNet.
Development of a nonmutagenic multidimensional Hash Geocoding method.
Integration of BlockNet and Hash Geocoding for secure and efficient Digital Twin data management.

Main Results:

BlockNet ensures the security of the Internet of Things digital mapping process, improving Digital Twin data reliability.
The Hash Geocoding method allows unique indexing of multidimensional information, avoiding data loss.
Improved efficiency in information retrieval and spatial data processing for Digital Twins.

Conclusions:

The proposed BlockNet and Hash Geocoding methods provide a robust foundation for secure and reliable Digital Twins.
These advancements are critical for the autonomous evolution and implementation of the Metaverse.
The research addresses key challenges in data security and spatial data processing for future digital environments.