Название: Blockchain-Based Digital Twins: Research Trends and Challenges Автор: A. Prasanth, Vandana Sharma, Rajesh Kumar Dhanaraj, Pethuru Raj Издательство: Apple Academic Press/CRC Press Год: 2025 Страниц: 324 Язык: английский Формат: pdf (true), epub Размер: 35.6 MB
A digital twin, in simple words, is a virtual model such that it accurately reflects an object or data. The usage of blockchain, along with the amalgamation of AI and Big Data, exploits the potential of the data generated from current industrial practices, giving rise to the digital twin model that can benefit from blockchain technology. This new book addresses this technology to actualize secure systems, networks, and environments. It details the modeling and simulation of blockchain-based digital twins and explores various applications along with challenges and opportunities. The volume explores its application in several industries, including healthcare, agriculture, and mechanics.
Blockchain technology has leveraged most of the manufacturing and service industries by deploying inviolable trust. It is the design, the blueprint of a product, to the sales and after-sale agreements for the product. All transactions are documented well in this distributed ledger. Blockchain has identified many applications across industries, such as integrated architecture for handling IoT ecosystems, measuring diagnosis accuracy, blockchain-based smart tracing and tracking platforms for supply chains, and handling privacy and security preservation of health records.
Huge growth in the usage of blockchain, with the amalgamation of AI and Big Data, has exploited the potential of the data generated from current industrial practices. The trustworthiness of blockchain technology and its digital twin has greater reach when compared to traditional systems. The blockchain will intelligently automate the generation of smart contracts from the Industrial Internet of Things, parallel governance, cybersecurity, and the healthcare sector in providing policy-making processes.
Today, the parallel existence of blockchain-based digital twins influences AI, ML, and IoT to integrate smart contracts across industries. In the real world, document frauds are very common; thus, blockchain-based smart contracts will help mitigate this problem and assist in easy record-keeping from the beginning of the contract until the end. The smart contract will be viable to assist in legal proceedings.
Decentralization of data pooling, data immutability, and one-to-one communication between computers or Internet of things (IoT) devices are the key concepts of blockchain. Digital twins (DT) are virtual replicas of physical objects or systems, created using data and information from sensors, IoT devices, and other sources. By simulating the behavior and performance of real-world objects or systems, DTs can help organizations to better understand and optimize their operations, identify potential problems before they occur, and develop more effective maintenance and repair strategies. DTs are also used to support designers and engineers to test and refine their designs before they are physically built. When blockchain and DT technologies are combined they bring several benefits to various industries, especially those that rely on complex supply chains or critical infrastructure. Potential applications of these two technologies are supply chain management, asset management, smart contracts, and data sharing in various fields where security, privacy, transparency, and efficient management are the major concerns.
1. Introduction to Transformation of Blockchain-Based Digital Twins 2. Research Challenges and Opportunities in Blockchain Technology 3. Blockchain Cryptic Chills: Paving the Way for a Futuristic Internet 4. Open-Source Platforms for Implementing Blockchain-Based Digital Twins 5. Modeling and Simulation for Digital Twins of Blockchain Technology 6. Blockchain-Based Digital Twins for Authentication and Remote Resource Sharing 7. Comprehensive Analysis of Industrial Internet of Things (IIoT)-Enabling for Digital Twin and Blockchain 8. Leveraging IoT and AI Technologies for Blockchain-Based Digital Twins 9. Collaboration of Blockchain-Based Digital Twins in the Healthcare Industry: From Idea to Implementation 10. Blockchain-Based Digital Twin for Predictive Maintenance of Machines Using Machine Learning 11. Blockchain-Based Digital Twin for Agricultural Field Management
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