Digital Twin Exchange Filtering by Asset Metadata
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Solution Overview
Problem
Existing digital twin marketplaces lack personalized and accurate matching of digital twin resources with customers' physical assets, leading to inefficient data utilization and resource recommendation.
Innovation Solution
A system that gathers customer metadata from physical assets and compares it with digital twin metadata in a marketplace, allowing customers to select and use digital twin templates that match their assets, enabling customized monitoring and management based on asset ownership, usage, and proximity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If digital twin resources are made available in a marketplace without filtering, then the quantity and variety of available resources increase, but the accuracy of matching digital twins with physical assets decreases
Solution Approach 1:
The system performs preliminary actions by gathering customer metadata about their physical assets before the customer searches for digital twins. This metadata is stored and used to pre-filter and personalize the digital twin marketplace results, so when customers search, they immediately see relevant matches rather than browsing through all available resources. This resolves the contradiction by maintaining large marketplace inventory while ensuring accurate matching through advance preparation.
Solution Approach 2:
The patent replaces manual filtering and matching processes with an automated metadata-based comparison system. The system automatically compares customer asset metadata with digital twin marketplace metadata using computational algorithms, substituting the mechanical/manual process of sifting through resources with an automated information processing system. This enables accurate matching even as the quantity of resources grows.
2Adaptability or versatility
If metadata gathering and comparison is performed for all customers, then the personalization and accuracy of digital twin recommendations improve, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent implements a universal metadata gathering and comparison framework that serves multiple functions: it enables personalization, facilitates accurate matching, supports filtering, and provides the basis for recommendations. This single metadata comparison mechanism handles multiple tasks that would otherwise require separate systems, reducing overall complexity while maintaining high adaptability and personalization capabilities.
3Loss of information
If digital twin marketplace displays all available resources, then the completeness of information is maintained, but the ease of finding relevant digital twins decreases
Solution Approach 1:
The system segments the digital twin marketplace results based on metadata comparison between customer assets and available digital twins. Instead of displaying all resources in a single undifferentiated list, the results are segmented into relevant matches and non-matches, with relevant results prioritized. This segmentation maintains complete information availability while dramatically improving search efficiency by organizing resources into meaningful groups based on their relevance to the customer's specific assets.
Data Source
AI summary
An approach is provided that gathers customer metadata that pertains to the customer's physical assets. This metadata is compared to digital twin metadata that is stored in a digital twin marketplace. Results of the comparison are displayed on the display. The customer makes a selection from the display of one a digital twin template that matches one of the customer's physical assets. The customer then uses the selected digital twin to monitor the matched customer physical asset.