Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Computing | en_US |
| dc.contributor.advisor | Cao, Jiannong (COMP) | en_US |
| dc.creator | Cao, Yinfeng | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/14061 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Consistent physical-to-virtual mapping in digital twins | en_US |
| dcterms.abstract | Digital Twin (DT) technology enables creating virtual representations of physical-world entities, thus facilitating advanced monitoring, simulation, and interaction by mapping physical objects and assets into virtual platforms like the metaverse, which is considered as the key technique in Industry 5.0. Based on DT, many enhanced applications such as smart cities, smart manufacturing, and immersive learning have emerged in recent years, providing users with immersive experience and interactions with the physical world. | en_US |
| dcterms.abstract | In DT systems, the physical-to-virtual mapping is the key process ensures that digital representations (twins) consistently reflect their physical counterparts' attributes and states in real time, thus ensuring the fidelity. This process is typically implemented by physically deployed sensors and servers collecting and processing data from massive and distributed physical objects and assets in untrusted and dynamic environments, which pose several challenges. First, maintaining state consistency between rapidly changing physical objects and their digital twins is difficult due to distributed data sources, environmental uncertainties like potential attacks and device failures, which will emit incorrect states and eventually compromises the accuracy of virtual interactions. Second, the uniqueness of the mapping is hard to verify. Specifically, ensuring each digital twin uniquely corresponds to its physical entity (e.g., one physical human only have one identify in metaverse) is essential to prevent misrepresentation and Sybil attacks, particularly when valuable digital assets are involved. However, due to the limited observation ability of virtual world, such uniqueness is difficult to verify and guarantee. Third, enabling the interoperability to securely relaying of physical and digital assets across different systems (including traditional financial databases, diverse blockchains, and metaverse platforms) is vital for asset utilization and exchange. However, due to the heterogeneity the lack of trust among different systems, designing a trustless and efficient interoperability solution is challenging. | en_US |
| dcterms.abstract | This thesis proposes a comprehensive framework to address these consistency issues in physical-to-virtual mapping by integrating edge computing and blockchain technology. To achieve real-time projection and ensure state consistency, we develop edge blockchain-based systems (inspired by PolyVerse and PolyTwin). These utilize edge devices and sensors coordinated by a blockchain network to extract physical attributes and states, generating DTs. Crucially, a Proof-of-Consistency (PoC) protocol, run via localized consensus among edge devices, cross-verifies the generated DT data against physical inferences before propagation, ensuring mapping accuracy and resilience to edge-level inconsistencies. | en_US |
| dcterms.abstract | To guarantee the uniqueness of the mapping between physical entities and their digital representations, thereby preventing Sybil attacks, the framework incorporates Eden, an edge-empowered Proof-of-Personhood (PoP) protocol. Eden combines physical-world human verification on privacy-preserving edge devices with on-chain transactional analysis. Its decentralized Proof-of-Trustworthiness (PoT) consensus assigns a verifiable score, securely binding a unique user to a single digital identity and ensuring the authenticity of the mapped identity. | en_US |
| dcterms.abstract | Finally, to facilitate secure asset relaying and sharing across different technological domains, we introduce MAP, a scalable and trustless blockchain interoperability protocol. MAP employs a unified relay chain architecture to connect heterogeneous systems efficiently, eliminating quadratic scaling issues. Its optimized zk-SNARK-based hybrid light client significantly reduces the computational and on-chain costs associated with cross-domain transaction verification, enabling secure and efficient mapping and transfer of assets between diverse platforms. | en_US |
| dcterms.abstract | In summary, this thesis systematically investigates the requirements for and provides solutions to achieve consistent physical-to-virtual mapping for Digital Twins in environments like the metaverse, leveraging edge computing and blockchain. The proposed solutions (PolyVerse/PolyTwin with PoC, Eden PoP, and MAP interoperability) collectively address the critical challenges of state consistency, identity uniqueness, and cross-domain asset relaying in a decentralized manner. Through extensive evaluation and practical prototype implementations, we demonstrate the effectiveness and efficiency of this framework, contributing to the development of more reliable and integrated physical-virtual systems. Future directions focus on enhancing this mapping framework further. | en_US |
| dcterms.extent | xviii, 110 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2025 | en_US |
| dcterms.educationalLevel | Ph.D. | en_US |
| dcterms.educationalLevel | All Doctorate | en_US |
| dcterms.accessRights | open access | en_US |
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