Digital Twin Orchestration for Scalable Industrial Modeling
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Solution Overview
Problem
Existing digital twins in industrial automation environments are limited in customizability and scalability, requiring significant processing power and sensor data, and struggle with interfacing between complex systems, making it difficult to accurately model and simulate large-scale industrial processes.
Innovation Solution
An orchestration engine is introduced to configure and simulate digital twin models, allowing for customizable inputs/outputs and process-wide interfacing by identifying targeted outcomes and configuring digital twin environments with representative digital twins, enabling real-time data analysis and predictive maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If digital twins are used to accurately model performance characteristics of industrial automation systems, then modeling precision is improved, but processing power requirements and data requirements increase significantly
Solution Approach 1:
The patent segments the digital twin modeling approach by creating a hierarchical structure where a centralized platform manages multiple digital twins at different levels of detail. Individual digital twins can be configured with appropriate fidelity levels based on specific needs, allowing the system to achieve accurate modeling where required while maintaining lower complexity for less critical components, thus reducing overall processing power requirements.
Solution Approach 2:
The patent implements parameter changes by allowing dynamic adjustment of digital twin fidelity and configuration based on system needs. The centralized platform can modify modeling parameters, data collection frequencies, and simulation complexity to optimize the balance between modeling precision and processing power consumption, enabling accurate modeling only when and where necessary.
2Measurement precision
If digital twins are configured to provide real-time data on condition and performance of entire factory lines, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent implements universality through a centralized digital twin platform that serves multiple functions: managing individual device digital twins, coordinating system-wide simulations, providing analytics, and enabling interoperability between different digital twins. This multi-functional platform reduces the need for separate complex systems for each function, thereby managing device complexity while maintaining high measurement precision across the entire factory line.
Solution Approach 2:
The centralized digital twin platform acts as an intermediary between individual digital twins and the overall system management. It standardizes interfaces and data exchanges, simplifying the complexity of direct interactions between numerous digital twins while enabling precise real-time monitoring and coordination across the entire industrial automation system.
3Adaptability or versatility
If digital twins are made highly customizable to represent different real entities, then adaptability is improved, but ease of operation deteriorates due to configuration complexity
Solution Approach 1:
The patent implements dynamics by enabling the centralized platform to dynamically configure and reconfigure digital twins based on system needs and changing conditions. The platform can automatically adjust digital twin parameters, data sources, and simulation models without requiring manual reconfiguration, thereby maintaining high adaptability while improving ease of operation through automated dynamic configuration.
4Adaptability or versatility
If digital twins are deployed to interface with complex industrial environments, then adaptability is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent implements preliminary action by having the centralized digital twin platform pre-configure standardized interfaces and integration protocols before deploying digital twins to complex industrial environments. Common connection patterns, data exchange formats, and communication protocols are established in advance, reducing the difficulty of detecting and measuring interface complexities when digital twins are deployed to interfacing with various industrial devices and systems.
Data Source
AI summary
Various embodiments of the present technology relate to digital twins of devices and assemblies. More specifically, some embodiments relate to the orchestration of digital twin models for representing industrial systems based on characteristics of digital twins. In an embodiment, a method of operating an orchestration engine in an industrial automation environment comprises identifying a targeted outcome for modeling the industrial automation environment, configuring a digital twin environment corresponding to the industrial automation environment based at least on the targeted outcome, and executing a process associated with the industrial automation environment using the digital twin environment.