Digital Twin Technology creates a virtual replica of a physical asset, process, or system. This digital model receives real-time data from its physical counterpart, allowing for continuous monitoring, analysis, and simulation. It facilitates predictive maintenance, performance optimization, and scenario planning in various industries. The technology offers a dynamic, data-driven representation for informed decision-making.
Context
While primarily associated with industrial applications, digital twin technology holds relevance for understanding underlying systems that interact with digital assets, particularly in supply chain management or asset tracking. Its application within blockchain-enabled systems could enhance transparency and verifiability for physical assets represented by tokens. Future integration could lead to more efficient and verifiable real-world asset tokenization processes.
The platform tokenizes illiquid commodities using patented AI for compliant, fractionalized access, accelerating capital formation and market liquidity.
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