Multi-Dimension Map Tile Device Repository for Immersive Virtual Environments
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current virtual environments and mapping technologies are limited in scope and dimensionality, failing to replicate the richness of physical experiences, and are challenged by the need for multi-dimensional data integration, social networking, and user engagement, while violating human social contracts and trust due to invasive recording capabilities and lack of dynamic interaction.
Innovation Solution
A multi-function CPU or GPU device with a geolocation multi-dimension map object tiled database and data exchange, enabling dynamic virtual travel, social networking, and augmented reality experiences that integrate multiple dimensions, allowing first and third-person perspectives, and optimizing user utility through price-time priority queues and machine learning algorithms, while ensuring trust and privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current virtual environments and mapping technologies are used, then basic virtual representation is achieved, but the richness and multi-dimensionality of physical experiences cannot be replicated
Solution Approach 1:
The patent extends traditional 3D mapping to multi-dimensional tensor modeling incorporating time, sensory data, sound, weather, temperature, and other dimensions. This allows virtual environments to replicate the richness of physical experiences by adding temporal and sensory dimensions beyond spatial representation.
Solution Approach 2:
The system integrates multiple data types and dimensions into a unified virtual environment framework that can represent diverse physical phenomena. The multi-dimensional tensor model serves as a universal structure for incorporating various data sources including sensory data, environmental conditions, and temporal variations.
2Loss of information
If invasive recording capabilities are implemented for data collection, then comprehensive data exchange is achieved, but human social contracts and trust are violated
Solution Approach 1:
The patent implements selective data collection and processing where different levels of detail and privacy protection are applied to different data types and users. The system can adjust the granularity and invasiveness of recording based on local context, user preferences, and privacy requirements rather than applying uniform invasive monitoring.
3Adaptability or versatility
If static or limited dynamic environments are used, then system simplicity is maintained, but user engagement and social networking capabilities are limited
Solution Approach 1:
The system transitions from static to dynamic virtual environments that can adapt and evolve over time. The multi-dimensional tensor model incorporates temporal dimensions allowing the virtual environment to change dynamically based on real-world conditions, user interactions, and accumulated data, enabling richer social networking and user engagement.
Data Source
AI summary
Various implementations directed to price time priority queue for a multi-dimension map tile device repository are provided. In one implementation, a method may include receiving origin location data and destination location data. The method may also include generating data networks based on the optimized origin location data and the destination location data. The method may further include determining data hubs along the transmission or transit route and network, where the virtual hubs include a first virtual hub based on the origin location data and a second virtual hub based on the destination location data. The method may additionally include receiving IoT device data for the geolocation exchange units. In addition, the method may include receiving market depth data for a geolocation exchange for the geolocation exchange units based on the multi-dimension map tile repository nodal sequences.