Digital Twin Data Verification Using Self-Sovereign Identity
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Solution Overview
Problem
Existing systems face challenges in verifying the authenticity and accuracy of data received from multiple data sources owned by different entities, leading to low-quality digital twins, especially in complex industrial environments where data is received from unconnected sources.
Innovation Solution
A method and system that utilize unique identifiers and a self-sovereign identity network to verify the authenticity and quality of data from multiple sources, ensuring only accurate data is used to generate digital twins, employing a distributed ledger for secure and decentralized data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is collected from multiple data sources owned by different entities, then the digital twin can represent a more comprehensive industrial environment, but the authenticity and accuracy of the data cannot be verified
Solution Approach 1:
The patent introduces a distributed ledger system as an intermediary between multiple data sources and digital twins. This mediator verifies and records data from various entities, enabling comprehensive data collection while maintaining authenticity through decentralized verification mechanisms.
Solution Approach 2:
The distributed ledger serves multiple functions: it acts as a verification mechanism for data authenticity, a storage system for data provenance, and a coordination platform for multiple entities. This universal system handles diverse data sources while ensuring reliability through its multi-functional design.
2Reliability
If a single integrated digital twin solution is used for the industrial facility, then security and data accuracy are improved, but the ability to integrate multiple equipment vendors and infrastructures is reduced
Solution Approach 1:
The patent segments the digital twin system into multiple independent digital twins, each representing specific equipment or processes from different vendors. This segmentation allows each digital twin to maintain high data accuracy for its specific domain while the overall system achieves multi-vendor integration through the distributed ledger coordination.
Data Source
AI summary
A system, apparatus and method for improving quality and accuracy of data pertaining to plurality of digital twins interacting in a computer simulated collaborative environment over a distributed network is provided. The method includes receiving input data from data sources corresponding to entities in an industrial environment. The method includes identifying if the data sources match the requirement of the digital twins requesting the input data based on the second unique identifier and a set of requirements of the digital twin. The method includes verifying an authenticity of the data sources based on the first unique identifier and the second unique identifier using a self-sovereign identity network including identification information of entities in the distributed network). The method includes providing the received input data to the corresponding digital twin, if the authenticity of the entities is verified.