Bidirectional Multi-Semantic Entity Graph for Digital Twin Storage
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Solution Overview
Problem
Current digital twin systems suffer from inefficiencies in storage, maintenance, and processing due to their reliance on unidirectional relationships with single semantic contexts, which fail to accurately represent bi-directional and multi-semantic relationships.
Innovation Solution
The implementation of a digital twin controller that utilizes an entity graph with bidirectional, multi-semantic relationships between nodes, allowing for reduced resource usage in storing relationships and enhancing processing efficiency. Additionally, the controller can link to external resources through virtual entity nodes, enabling data or service access based on desired attributes or links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If unidirectional relationships with single semantic contexts are used to model entities in digital twin, then the system structure is simple to implement, but the storage efficiency deteriorates and processing efficiency deteriorates
Solution Approach 1:
The patent combines multiple unidirectional relationships into a single bidirectional relationship structure. Instead of maintaining separate unidirectional relationships for each semantic context, the invention merges them into unified bidirectional relationships that can handle multiple semantic contexts, thereby reducing the total number of relationships stored and improving processing efficiency while maintaining ease of implementation through a standardized relationship interface.
Solution Approach 2:
The bidirectional relationship structure serves multiple functions simultaneously: it represents relationships in both directions (parent-to-child and child-to-parent), supports multiple semantic contexts within a single relationship framework, and provides a universal interface for various types of entity interactions. This multi-functionality eliminates the need for separate relationship definitions for each direction and context.
2Ease of operation
If separate unidirectional relationships are maintained for bidirectional traversal, then the traversal capability is complete, but the quantity of stored relationships increases
Solution Approach 1:
The patent merges forward and backward traversal relationships into a single bidirectional relationship structure. Instead of storing separate unidirectional relationships for each direction, the invention combines them into one relationship that inherently supports traversal in both directions, thereby reducing the quantity of stored relationships while maintaining complete traversal capability.
Solution Approach 2:
The bidirectional relationship structure provides universal traversal capability for both parent-to-child and child-to-parent directions within a single relationship definition. This multi-functional approach allows the same relationship structure to serve multiple traversal needs without requiring separate relationship definitions for each direction.
3Measurement precision
If multiple unidirectional relationships are used for multi-semantic contexts, then the semantic precision is maintained, but the device complexity increases
Solution Approach 1:
The patent merges multiple unidirectional relationships with different semantic contexts into a single bidirectional relationship that can accommodate multiple semantic contexts. This consolidation reduces system complexity by eliminating redundant relationship definitions while preserving semantic precision through the ability to associate multiple semantic contexts with the unified relationship structure.
Solution Approach 2:
The bidirectional relationship structure serves as a universal container for multiple semantic contexts. Instead of creating separate relationship structures for each semantic context, the invention provides a single multi-functional relationship structure that can handle various semantic contexts, thereby reducing system complexity while maintaining semantic precision.
Data Source
AI summary
According to aspects of the disclosed subject matter, a digital twin controller, as implemented on a computer system, is presented. With respect to the represented system, the digital twin controller utilizes an entity graph that includes one or more bidirectional, multi-semantic relationships between the graph nodes. Advantageously, the resources to store the entity graph having bidirectional, multi-semantic relationships is reduced. Similarly, this updated entity graph provides for more efficient processing.