Digital Twin AR Replication of Non-Homogeneous Elements
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Solution Overview
Problem
Conventional systems lack a mechanism for integrating multiple disparate technology data, applications, and operational environments, leading to inefficiencies in adopting and managing new technologies across non-homogenous elements, with no scalable solution for coordinating business rules and interdependencies across different environments.
Innovation Solution
The system generates digital twin augmented reality replications of non-homogenous elements, associating each element with a data structure describing its tasks, functions, limitations, and requirements, allowing for integration and visualization of physical, logical, and operational elements within a central AI-driven ecosystem, enabling end-to-end digital automation and hybrid-labor operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional systems integrate multiple disparate technology data and applications, then the quantity of integrated elements increases, but the system complexity and difficulty of coordination increase significantly
Solution Approach 1:
The patent introduces a digital twin as an intermediary layer between physical elements and their digital representations. This digital twin serves as a mediator that standardizes the interface and data structure for diverse technology elements, enabling integration without direct complex point-to-point connections between heterogeneous systems
Solution Approach 2:
The patent creates a universal data structure and common interface framework that can accommodate multiple types of technology elements (IoT devices, applications, data sources) through standardized schemas. This universal framework allows different elements to be integrated using the same integration mechanism rather than requiring element-specific integration approaches
2Adaptability or versatility
If conventional systems use pre-defined hardcoded non-customizable static environments, then the device complexity is reduced, but the adaptability to different business rules and operations deteriorates
Solution Approach 1:
The patent transitions from static hardcoded environments to dynamic configurable environments. Business rules, data structures, and operational parameters can be modified at runtime through the digital twin framework, allowing the system to adapt to changing requirements without reconfiguration of the underlying infrastructure
Solution Approach 2:
The patent enables customization through parameter-based configuration rather than hardcoding. Business rules and operational parameters can be changed by modifying data values and configuration parameters within the digital twin framework, allowing flexible adaptation without changing the system structure
3Productivity
If conventional systems lack coordinated integration mechanisms, then the ease of operation is maintained for individual elements, but the productivity of integrated operations deteriorates
Solution Approach 1:
The patent segments the integration problem into manageable components: individual element representation, data structure definition, relationship modeling, and operational coordination. Each aspect can be configured and managed separately through the digital twin framework, maintaining operational simplicity while enabling coordinated productivity
Data Source
AI summary
The present disclosure describes systems and methods for generating digital twin augmented reality replications of non-homogenous elements in integrated environments. One method includes storing a first data structure for a first element in a digital twin augmented reality environment, the first data structure including respective fields for a first function, a first set of relationships, a first physical location, and a first time period of operation. The method also includes storing a second data structure for a second element in the digital twin augmented reality environment, the second data structure includes respective fields for a second function, a second set of relationships, a second physical location, and a second time period of operation. The method can generate a visual representation of the first element and the second element in the digital twin augmented reality environment. The location of the first and second element in the digital twin augmented reality environment is based on the first and second physical location.