Virtual Replica Deployment Through Real-Time Data Synchronization
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Solution Overview
Problem
Current virtual replica systems lack comprehensive real-world data synchronization and are computationally intensive, limiting their application in complex environments like building and city management.
Innovation Solution
A system and method for developing and deploying virtual replicas using multi-source data enrichment, real-time synchronization, and low-latency communication, employing mmW and 5G networks, inertial tracking, and AI-driven self-computing capabilities to create accurate virtual replicas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If virtual replicas are created with comprehensive real-world data synchronization, then the accuracy and usefulness of the virtual replicas improve, but the computational complexity and resource requirements increase
Solution Approach 1:
The system segments virtual replica development into distinct phases (creation, testing, validation, deployment) managed through a workflow engine. Each phase processes specific data types and synchronization requirements, allowing computational tasks to be divided and managed independently rather than processing all data simultaneously, thus reducing overall computational complexity while maintaining comprehensive data synchronization.
Solution Approach 2:
The patent introduces several intermediary components: a workflow engine that coordinates development phases, an administrator system that manages validation and approval, and a synchronization mechanism that mediates between real-world data sources and virtual replicas. These intermediaries streamline data processing and reduce direct computational complexity between data sources and replica systems.
2Productivity
If virtual replicas contain complete real-world element data and context, then the ability to manage operations in buildings, factories, and cities improves, but the data synchronization requirements and system resource demands increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and organizing real-world data during the virtual replica creation and testing phases before deployment. Data is structured, validated, and synchronized in advance through defined workflows, so that when the virtual replica is deployed for operational management, the data is already optimized and ready for use, reducing real-time data processing requirements.
Solution Approach 2:
The patent applies local quality by allowing different virtual replicas to have different levels of data completeness and synchronization based on their specific operational needs. Not all replicas require the same level of detail or the same types of data, enabling optimization of data volume according to local requirements while maintaining operational management capability.
3Manufacturing precision
If developers manually create and synchronize virtual replicas with real-world elements, then the precision of the virtual replicas improves, but the time and computational resources required for development and deployment increase
Solution Approach 1:
The system enables self-service through automated workflows where the virtual replica system automatically performs data synchronization, validation, and deployment tasks based on predefined rules and criteria. The workflow engine autonomously manages the development process, reducing the need for manual developer intervention while maintaining high precision through systematic validation and quality assurance mechanisms.
Solution Approach 2:
The patent utilizes parameter changes by allowing the system to automatically adjust synchronization frequency, data update intervals, and replica complexity parameters based on operational requirements and system load. This enables the system to maintain high precision when needed while reducing computational overhead during normal operations, effectively managing development time and resource usage.
4Reliability
If a comprehensive validation and approval system is implemented for virtual replicas, then the reliability of the deployed replicas improves, but the deployment process complexity and time requirements increase
Solution Approach 1:
The validation and approval system is designed dynamically, allowing the workflow engine to adjust validation depth, approval requirements, and testing rigor based on the specific virtual replica being deployed and its intended use case. This dynamic approach maintains high reliability through comprehensive validation when necessary while simplifying the deployment process for lower-risk replicas, reducing overall process complexity.
Data Source
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AI summary
A system for developing and deploying virtual replicas of real-world elements into a persistent virtual world system. The development of the virtual replicas is performed in a virtual environment that enables development and configuration of the virtual replicas that mirror the behavior and appearance of the corresponding real elements. The virtual replicas are enriched through data captured by sensing mechanisms that synchronize in real-time the virtual replicas with the real-world elements. The virtual replicas are shared in a virtual world-based quality assurance system where they can be either approved or rejected for subsequent adjustments, when necessary. After approval and deployment, the replicas are shared in a deployed persistent virtual world system that is viewable to end users for management and interaction of the virtual replicas. Methods thereof are also disclosed.