Digital Twin Token Control With Blockchain Trust Validation
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Solution Overview
Problem
Existing digital twin computing systems face challenges in efficiently managing and securing data transmission and control across interconnected devices, particularly in environments where real-world objects interact with digital representations, leading to inefficiencies and security vulnerabilities.
Innovation Solution
A self-forming communication and control system utilizing blockchain-encoded records to securely manage data transmission and control, where only trusted devices can modify tokens, and a digital twin environment processes dashboard information to produce prescriptive insights, enabling efficient and secure data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital twin computing systems are used to manage and secure data transmission across interconnected devices, then data security and control are improved, but system complexity and processing overhead increase
Solution Approach 1:
The system segments data transmission into discrete tokens that are individually managed and secured. Each token represents a unit of data or control instruction, allowing the system to process and secure data in manageable chunks rather than as a monolithic stream, thereby reducing processing overhead while maintaining security.
Solution Approach 2:
The patent introduces computing entities as intermediary components between physical objects and digital twin environments. These entities handle token generation, validation, and processing, acting as a buffer that reduces the complexity burden on the core digital twin system while maintaining robust security controls.
2Reliability
If continuous processing at digital twin level is performed to manage data transmission, then data control is improved, but processing time and energy consumption increase
Solution Approach 1:
The system implements periodic token validation and processing rather than continuous monitoring. Computing entities validate tokens at specific intervals or trigger events, reducing processing time while maintaining adequate data control. This periodic approach allows the system to balance security requirements with processing efficiency.
Solution Approach 2:
Tokens are designed to be self-validating with embedded authentication and authorization information. The computing entities process tokens by verifying their inherent properties rather than requiring extensive external validation, reducing processing time and energy consumption while maintaining data control integrity.
3Reliability
If blockchain-encoded records are used to manage token modification, then security is improved, but device complexity increases
Solution Approach 1:
The system uses blockchain technology to create immutable copies of token state records. Rather than requiring complex real-time consensus mechanisms at each device, the blockchain provides a trusted ledger that devices can query to verify token validity, reducing local device complexity while maintaining high security through cryptographic verification.
Data Source
AI summary
A method for execution by a computer includes detecting an object of an environment based on environment signaling of the environment to produce an identified object and object profile information. The method further includes facilitating object tracking of the identified object within the environment. The method further includes storing object tracking information for the identified object within a digital twin memory.