Geospatial Tile System for Scalable Simulation Data
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Solution Overview
Problem
Current systems lack the ability to efficiently manage and analyze large volumes of heterogeneous data with geographical tags or images, limiting their potential for predictive analytics and simulations across multiple sources and formats.
Innovation Solution
A system and method for data-dense geographical regions using a multi-dimensional time-series database that enables scalable parallel simulations, incorporating an indexed geospatial tile module, geohash calculation, and web-based application interface to overlay geotagged data on geospatial image tiles, allowing for single-query support across simulations and regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If current systems are used to manage geospatial data, then basic data storage is possible, but they cannot efficiently handle large volumes of heterogeneous data with geographical tags and images
Solution Approach 1:
The system segments geospatial data into discrete image tiles that can be independently stored, retrieved, and processed. Each tile represents a specific geographic region and can be managed separately, enabling efficient handling of large volumes of heterogeneous data without overwhelming the system.
Solution Approach 2:
The patent introduces geohashes as an encoded geographic location dimension that overlays on geospatial image tiles. This adds a new dimensional layer of data organization and retrieval capability, transforming how geospatial data is structured and accessed, thereby improving analysis efficiency across multiple dimensions.
2Adaptability or versatility
If geospatial data is integrated into the system, then predictive analytics capability is enhanced, but system complexity increases
Solution Approach 1:
The system implements a universal geospatial framework that can handle multiple data types (images, tags, heterogeneous sources) through a common architecture. The geospatial image tile system serves multiple functions including storage, retrieval, analysis, and visualization, reducing the need for separate specialized systems and thereby managing complexity while enhancing versatility.
Solution Approach 2:
The patent introduces geohashes as an intermediary layer between raw geospatial data and the analysis system. This mediator enables standardized processing and retrieval of geospatial information across different data sources and formats, simplifying system architecture while expanding predictive analytics capability.
3Adaptability or versatility
If multiple data sources and formats are integrated, then data comprehensiveness improves, but data management difficulty increases
Solution Approach 1:
The system transforms heterogeneous geospatial data from multiple sources into a homogeneous format of standardized image tiles with consistent geohash encoding. This normalization process enables uniform processing and management of diverse data sources while maintaining their unique characteristics, thereby improving compatibility without proportionally increasing management complexity.
Data Source
AI summary
A system and method for providing time-series geospatial data and a world-scale simulation platform used to generate simulated-world environments by rendering data-dense geographical regions corresponding to heterogenous sourced data and formats for highly scalable parallel simulations, and comprised of a multi-dimensional time-series database used for enabling query support across multiple simulations via individual simulation and entity swimlanes for cyber, physical and cyber-physical entities and regions.