Planned Object Digital Twin With Time-Linked Sub-Object Models
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Solution Overview
Problem
Current entity twinning processes are complex and lack uniformity, failing to perform digital twinning for the state of entities in different time periods, and existing event twinning methods are scenario-specific and non-uniform, limiting their applicability.
Innovation Solution
A method for digital twinning of a planned state of an object, involving constructing target and sub-object models with time attributes, establishing association relationships, and generating subscription items for future states, enabling unified twinning across various scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current entity twinning process uses multiple different data structures and models, then specific entity types can be represented, but the process becomes complex and cannot be applied to twinning of all things
Solution Approach 1:
The patent applies universality by designing a unified object model and plan state model that can represent all entity types (equipment, materials, products, etc.) and all plan types (production plans, maintenance plans, etc.) through a single standardized data structure, eliminating the need for multiple different models for different entity types
Solution Approach 2:
The patent uses parameter changes by introducing a time attribute parameter to the object model, transforming it from a static model to a dynamic model that can represent states at different time points, enabling future state prediction through parameter evolution
2Loss of information
If current entity twinning process uses static models without time attributes, then simple entity states can be represented, but digital twinning for states in different time periods cannot be performed
Solution Approach 1:
The patent applies preliminary action by pre-defining the object model and plan state model with time attributes and association relationships before actual digital twinning operations, establishing a ready-to-use framework that automatically handles future state representation without requiring complex ad-hoc model modifications
Solution Approach 2:
The patent applies nested doll by embedding the plan state model within the object model structure, where the plan state model contains time attributes and state information that are nested within the broader object model framework, creating a hierarchical yet unified structure
3Adaptability or versatility
If existing twinning methods for event objects are based on specific scenarios, then scenario-specific requirements can be met, but the methods are not unified and cannot be applied to twinning of all things
Solution Approach 1:
The patent applies universality by designing a scenario-independent object model and plan state model that can handle various event types (production events, maintenance events, etc.) through the same standardized framework, making the twinning method universally applicable across different scenarios without requiring scenario-specific model variations
Data Source
AI summary
A method for digital twinning of a planned state of an object includes: constructing a target planned object model of a target planned object and a sub-planned object model of at least one sub-object constituting the target planned object, where each of the target planned object model and the sub-planned object model of the at least one sub-object includes a time attribute; setting the time attribute of each of the target planned object model and the sub-planned object model of the at least one sub-object to be a future time; and establishing an association relationship between the target plan object model and the sub-planned object model of the at least one sub-object.