Self-Forming Control for Secure Digital Twin Asset Tracking
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Solution Overview
Problem
Existing digital twin systems lack efficient methods for securely managing and integrating data across real-world and digital environments, particularly in terms of asset lifecycle management and data integrity, leading to inefficiencies and security vulnerabilities.
Innovation Solution
A computing system utilizing blockchain-encoded records to securely manage assets and data, ensuring only trusted devices can modify or transfer control, and implementing a self-forming communication and control system that enables real-time monitoring and adaptive control through digital twin technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional data management methods are used in digital twin systems, then system complexity is reduced, but data security and integrity deteriorate
Solution Approach 1:
The patent introduces blockchain technology as an intermediary layer between the real-world physical assets and their digital twin representations. The blockchain ledger acts as a trusted mediator that records and verifies all data transactions, asset transfers, and control operations. This intermediary structure ensures data integrity and security without requiring complex trust verification mechanisms between directly interacting systems, as the blockchain provides a decentralized but authoritative record-keeping layer that all participants can trust.
2Productivity
If manual asset management processes are used, then implementation simplicity is maintained, but productivity and operational efficiency deteriorate
Solution Approach 1:
The patent implements self-service mechanisms where the digital twin system automatically performs asset management tasks without manual intervention. The system autonomously tracks asset locations, monitors operational status, manages transfers between owners or locations, and updates digital twin representations in real-time. This automation eliminates manual data entry and tracking processes, significantly improving operational efficiency while the blockchain layer handles verification and record-keeping automatically, preventing the complexity from escalating.
3Adaptability or versatility
If centralized control systems are used, then ease of operation is improved, but adaptability and real-time responsiveness deteriorate
Solution Approach 1:
The patent segments the control system into distributed digital twin instances, each representing a specific physical asset or subsystem. Each digital twin operates semi-independently, capable of real-time monitoring and adaptive control for its associated physical asset. The blockchain ledger provides the coordinating framework that connects these segmented digital twins, enabling system-wide adaptability while each segment maintains operational simplicity for its specific function.
4Measurement precision
If comprehensive data tracking is implemented, then measurement precision is improved, but loss of time and processing overhead worsen
Solution Approach 1:
The patent implements preliminary action by pre-establishing the blockchain ledger structure and smart contract frameworks before operational data tracking begins. Asset registration, ownership structures, and control protocols are configured in advance on the blockchain, creating a ready-made verification infrastructure. This preliminary setup eliminates the need for time-consuming data validation and trust verification during operational data tracking, as the pre-configured blockchain smart contracts automatically verify and record data with precise timestamps and provenance information.
Data Source
AI summary
A method for execution by a computer includes detecting an identified plurality of objects of an environment based on environment signaling of the environment to produce identified objects and object profile information. The method further includes facilitating object tracking of the identified plurality of objects within the environment. The method further includes storing object tracking information for the identified plurality of objects within a digital twin memory.