Remote Data Management for Simulation Terrain Updates
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Solution Overview
Problem
Interactive computer simulation systems face challenges in managing large amounts of data across distributed networks, leading to issues with network delay and bandwidth limitations, which affect the user experience and the realism of simulated environments.
Innovation Solution
A remote data management system that includes a network interface module, data storage system, and processor module, which anticipatorily updates and manages data in a remote repository by computing expected geographical positions and monitoring storage capacity, ensuring efficient data access and storage while optimizing data types and priority tags.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is distributed over a network to support multiple simulation stations, then the system can serve more users with complex simulated environments, but network delay and bandwidth limitations increase, affecting user experience
Solution Approach 1:
The system anticipatorily updates the remote repository with data for expected geographical positions before the simulation station actually requests them. The processor module computes anticipated training scenarios and pre-loads corresponding terrain and environmental data, eliminating network delay when the data is actually needed for simulation execution.
Solution Approach 2:
The patent creates a hierarchical data distribution structure where a remote repository stores frequently accessed data locally near simulation stations, while a central repository stores the complete database. This local caching strategy reduces network bandwidth usage by serving common data requests from the remote location without requiring continuous access to the central repository.
2Speed
If the synthetic natural environment database is stored completely at each simulation station, then access speed improves, but storage requirements become unreasonable
Solution Approach 1:
Instead of duplicating the complete database at each simulation station, the system implements a selective caching strategy where only frequently accessed data for anticipated scenarios is stored in the remote repository. This provides fast local access for common operations while avoiding the unreasonable storage requirements of full database replication.
Solution Approach 2:
The system pre-computes and pre-loads only the data subsets that will be needed for anticipated training scenarios, rather than storing all possible data. This anticipatory loading ensures fast access speed for expected operations while keeping storage requirements proportional to actual usage patterns rather than potential maximum requirements.
3Loss of information
If all data types are transmitted and stored, then completeness of information is maintained, but network bandwidth consumption and processing overhead increase
Solution Approach 1:
The system extracts and transmits only the specific data types and subsets that are actually required for each anticipated training scenario, rather than transmitting all available data. The processor module analyzes scenario requirements and selectively retrieves only necessary terrain, environmental, and simulation parameters, reducing network bandwidth consumption while maintaining information completeness for the specific use case.
Data Source
AI summary
Method and systems, for executing an interactive computer simulation of a simulated vehicle, comprising a remote data management system, a central repository, a remote repository and an interactive computer simulation station. The central repository comprises a synthetic natural environment database (SNEDB) that comprises data of a plurality of data types for geographically-located terrain skin representations. The remote data management system maintains the remote repository storing a subset of the SNEDB. The station comprises data consumers each requiring one or more data types and sends, over the network, a data request for geographical locations from the SNEDB. The station allows users to interact in the simulation for controlling the simulated vehicle. The remote data management system determines a set of data types considering requesting data consumers and updates the subset of the SNEDB for the geographical locations with data of only the set of data types.