Virtual Replica Synchronization for Low-Latency Merged Reality
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Solution Overview
Problem
Current virtual replicas in virtual worlds lack comprehensive real-world data integration, limiting realism and interaction capabilities, and do not synchronize with their real-world counterparts, hindering applications like building management and city operations.
Innovation Solution
A merged reality system that uses servers to store and process virtual replicas with self-computing capabilities, integrating real-world data through sensors and a cloud-to-edge infrastructure, enabling synchronized interactions and dynamic resource allocation via distributed ledgers and low-latency communication systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive real-world data integration is implemented in virtual replicas, then realism and interaction capabilities are improved, but device complexity and computational requirements increase
Solution Approach 1:
The system segments the virtual replica architecture into modular components: core identity data, synchronized state data, contextual data, and historical data. This segmentation allows comprehensive data integration while managing complexity through organized, reusable data structures that can be independently developed and maintained.
Solution Approach 2:
The virtual replica framework implements universal data structures and synchronization protocols that can be applied across diverse real-world elements (objects, people, places, events). This multi-functionality enables the same technical approach to serve multiple applications from gaming to digital twins, reducing overall system complexity through standardized interfaces.
2Adaptability or versatility
If virtual replicas are synchronized with real-world counterparts, then interaction capabilities are improved, but data processing requirements and computational resources increase
Solution Approach 1:
The synchronization system implements periodic data exchange at optimized intervals rather than continuous real-time synchronization. Event-triggered synchronization updates occur based on significant state changes, reducing computational overhead while maintaining interaction capabilities. This periodic approach balances data freshness with resource consumption.
Solution Approach 2:
The system extracts and processes only the essential synchronization data needed for specific interaction scenarios, rather than transmitting all available data. Data filtering and prioritization mechanisms extract critical information (position, state, key attributes) while discarding redundant data, reducing processing requirements while preserving interaction quality.
3Measurement precision
If comprehensive data from real-world elements is captured and integrated, then the accuracy of virtual simulations is improved, but data storage requirements and processing time increase
Solution Approach 1:
The virtual replica data structures implement local quality by storing high-precision data only for attributes critical to specific simulation requirements, while using lower-precision approximations for less critical attributes. This selective precision approach maintains simulation accuracy where needed while reducing overall data volume through targeted detail levels.
Solution Approach 2:
The system captures comprehensive data initially but processes and stores only the essential portions needed for current simulation objectives. Data summarization and aggregation techniques extract key insights from comprehensive datasets, maintaining simulation accuracy through representative samples rather than complete data retention, thus reducing storage requirements.
4Reliability
If real-time synchronization is implemented between virtual and real elements, then interaction realism is improved, but latency and response time issues worsen
Solution Approach 1:
The system performs preliminary data buffering and pre-processing of synchronization data before actual state updates are applied. Prediction algorithms anticipate expected state changes and pre-calculate transition data, reducing real-time processing latency while maintaining synchronization accuracy through advance preparation of synchronization payloads.
Solution Approach 2:
The synchronization protocol implements selective data transmission by skipping already-synchronized attributes and only transmitting changed data. Optimized data comparison mechanisms identify and transmit only necessary updates, rushing through the synchronization process by eliminating redundant data transfer steps and reducing overall latency.
Data Source
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AI summary
A merged reality system comprises servers in a cloud to edge infrastructure configured to store and process data and models of virtual replicas of real world elements that provide self-computing capabilities and autonomous behavior to the virtual replicas. The data and models are input through a plurality of software platforms, software engines, and sensors connected to things and user devices. The server is further configured to merge the real and virtual data and models in order to augment the real data with the virtual data. A method thereof comprises mapping the real world into a virtual world, generating virtual replicas of the real world; adding models and data of the virtual replicas; connecting the virtual replicas to corresponding real elements in order to enrich and synchronize the virtual replicas with the real-world elements; merging the real and virtual data; and augmenting the real data with the virtual data.