Multidimensional Map Tile Repository for Richer Virtual Environments
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Solution Overview
Problem
Current virtual environments are limited in scope and dimensionality, failing to replicate the richness of physical environments, and existing technologies violate human social contracts by breaching trust and privacy, leading to low adoption and inefficient data sharing.
Innovation Solution
A multi-function CPU or GPU device with a geolocation multi-dimension map tile database and data exchange, enabling first and third person omniscient perspectives, social network integration, and machine learning optimization for immersive, trust-building virtual experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current virtual environments are implemented with traditional mapping technologies, then the implementation is simple and existing tools can be used, but the dimensionality and richness of the environment is limited and cannot replicate physical environments effectively
Solution Approach 1:
The patent transitions from traditional 2D/3D mapping to multi-dimensional mapping by incorporating additional dimensions beyond spatial coordinates. This includes temporal dimensions for dynamic environments, sensory dimensions for multi-modal data integration, and hierarchical dimensions for multi-scale representation. The system creates a richer virtual environment that better replicates physical spaces by adding these dimensional layers to the traditional mapping framework.
2Productivity
If traditional mapping technologies are used, then the system is easy to implement with existing tools, but data organization and programmatic interface are exceptionally challenging and inefficient
Solution Approach 1:
The patent segments the complex multi-dimensional data into organized hierarchical structures. Data is divided into discrete dimensional layers (spatial, temporal, sensory, hierarchical) that can be independently managed and accessed. This segmentation allows programmatic interfaces to interact with specific dimensional subsets rather than managing the entire complex dataset at once, significantly improving efficiency and reducing organizational complexity.
3Reliability
If virtual environments replicate physical environments more accurately, then user experience is improved, but resources and computational power required increase significantly
Solution Approach 1:
The patent implements a nested hierarchical structure where virtual environment data is organized in concentric layers of detail. The hierarchy allows the system to store and process data at multiple scales, from broad spatial contexts down to fine-grained sensory details. This nesting enables the system to replicate physical environments accurately when needed while allowing for simplified representations when full fidelity is not required, thus optimizing computational resource usage.
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.