Dynamic Non-Fungible Digital Twin Asset Tracking
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Solution Overview
Problem
Existing blockchain systems lack effective methods for representing dynamic assets, as Non-Fungible Tokens (NFTs) primarily cater to static objects and fail to track changes over time.
Innovation Solution
The method involves generating a dynamic Non-Fungible Digital Twin (NFDT) representation of an asset by creating a series of smart contracts on a blockchain. Each smart contract captures changes in the asset's attributes over time, forming a time series that defines the unique NFDT.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single NFT is used to represent an asset, then ownership is established, but dynamic changes in the asset cannot be tracked
Solution Approach 1:
The patent divides a single NFT into multiple NFTs, where each NFT represents a specific state or snapshot of the asset at a particular time. This segmentation allows the system to track dynamic changes by creating a series of discrete token representations that capture the asset's evolution over time, resolving the contradiction between maintaining reliable ownership records and adapting to dynamic asset states.
Solution Approach 2:
The patent introduces dynamicity by allowing NFT attributes to change over time through structured updates. The system enables modification of NFT properties while maintaining a historical record of changes, transforming the static nature of traditional NFTs into dynamic representations that can adapt to and reflect changing asset states without losing track of ownership provenance.
2Adaptability or versatility
If NFT attributes are made dynamic and updateable, then asset changes can be tracked, but the risk of unauthorized modification increases
Solution Approach 1:
The patent implements feedback mechanisms through cryptographic verification and consensus protocols that validate each attribute update. When NFT attributes are modified, the system requires verification through smart contracts and network consensus, ensuring that only authorized changes are recorded. This feedback loop maintains data integrity by continuously verifying the legitimacy of updates while still allowing dynamic asset representation.
Solution Approach 2:
The patent employs preliminary authorization mechanisms where access rights and update permissions are established before any attribute modifications can occur. Smart contracts pre-define who can modify which attributes under what conditions, preventing unauthorized changes before they happen. This preliminary action ensures that dynamic updates maintain reliability by enforcing access control policies in advance.
3Adaptability or versatility
If multiple NFTs are created to represent different states of an asset, then dynamic changes can be tracked, but system complexity increases
Solution Approach 1:
The patent creates a universal NFT framework where a single smart contract template can generate multiple NFT instances that all follow the same structure and rules. This multi-functional approach allows the system to handle diverse asset states using a unified contract design, reducing complexity by avoiding the need for separate specialized contracts for each asset state while still enabling comprehensive tracking capabilities.
Solution Approach 2:
The patent implements a nested structure where multiple NFTs are hierarchically organized and linked through parent-child relationships. Each NFT can reference previous states or parent NFTs, creating a nested chain of token representations. This nesting approach simplifies the system by providing a structured way to manage multiple tokens through hierarchical relationships rather than independent contracts, making the complexity more manageable through organized interconnections.
Data Source
AI summary
The present application relates to systems and methods for creating Non-Fungible Digital Twins (NFDT) of objects. The objects may be digital objects or real work assets which change over time, or have properties (e.g. carbon emissions) that change over time. An initial or birth NFT smart contract is created and published which is a digital twin of the object, and as the object changes, the changes are published to subsequent NFT smart contracts with a link to the previous smart contract or the birth smart contract such that the birth smart contract and plurality of subsequent object contracts form a time series of object smart contracts which define a dynamic unique Non-Fungible Digital Twin (NFDT) representation of the object.