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The coming together of digital twin technology, blockchain infrastructure and metaverse environments signals a new approach that will reshape our management and use of complex systems in different domains. This chapter examines the bases for combining these three technologies to support ongoing, trusted and immersive digital experiences. By simulating information from physical objects and regular updates, digital twins showcase what is happening in real-time and the use of blockchain keeps records secured and ensures distributed decisions. By using visualization interfaces and collaborative environments in the metaverse, complex digital twin information can be understood by a wide range of stakeholders. The chapter introduces a seven-layer model that handles both the problems and prospects of scalability, compatibility and security in distributed digital twin networks. We look at several important cases in industrial manufacturing, smart cities, healthcare, gaming and real estate to see how blockchain ensures that digital twins are trustworthy and genuine. Limits in scaling, problems with privacy, effects on the environment and concerns about regulations are discussed in connection with new solutions including Layer 2 tech, safer cryptography and sustainable ways to reach consensus. Further research involves using artificial intelligence to drive automatic growth of digital twins, exploring how quantum computing could update simulation tools and looking at the adoption of decentralized autonomous organizations for overseeing the environment. The study indicates that using blockchain technology to create digital twins lays the groundwork for persistent and compatible experiences in the metaverse, thanks to constant traceability, distributed ownership verification and no-trust interaction models. Because of this merging of technologies, we can now create economic systems that use verified digital scarcity to solve the problems encountered by each technology alone. The key to successful implementation is ongoing cooperation among technologists, policymakers and subject matter specialists to ensure progress is responsible, efficient and resilient in a decentralized way.

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Digital Twin Models in the Blockchain Metaverse Framework: Convergence of Virtual Replicas and Decentralized Ecosystems

  • 章节

  • 发表日期：

    2026年

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  • Km Meenakshi,
  • Kirti Singh,
  • Deepshikha Bhargava

摘要

The coming together of digital twin technology, blockchain infrastructure and metaverse environments signals a new approach that will reshape our management and use of complex systems in different domains. This chapter examines the bases for combining these three technologies to support ongoing, trusted and immersive digital experiences. By simulating information from physical objects and regular updates, digital twins showcase what is happening in real-time and the use of blockchain keeps records secured and ensures distributed decisions. By using visualization interfaces and collaborative environments in the metaverse, complex digital twin information can be understood by a wide range of stakeholders. The chapter introduces a seven-layer model that handles both the problems and prospects of scalability, compatibility and security in distributed digital twin networks. We look at several important cases in industrial manufacturing, smart cities, healthcare, gaming and real estate to see how blockchain ensures that digital twins are trustworthy and genuine. Limits in scaling, problems with privacy, effects on the environment and concerns about regulations are discussed in connection with new solutions including Layer 2 tech, safer cryptography and sustainable ways to reach consensus. Further research involves using artificial intelligence to drive automatic growth of digital twins, exploring how quantum computing could update simulation tools and looking at the adoption of decentralized autonomous organizations for overseeing the environment. The study indicates that using blockchain technology to create digital twins lays the groundwork for persistent and compatible experiences in the metaverse, thanks to constant traceability, distributed ownership verification and no-trust interaction models. Because of this merging of technologies, we can now create economic systems that use verified digital scarcity to solve the problems encountered by each technology alone. The key to successful implementation is ongoing cooperation among technologists, policymakers and subject matter specialists to ensure progress is responsible, efficient and resilient in a decentralized way.