Centralized Weather Server for Flight Simulators
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Solution Overview
Problem
Current weather simulation systems are computationally expensive and unsuitable for consumer use due to high hardware requirements, making them impractical for incorporation into flight simulation applications and other games, and they struggle to synchronize weather simulations across multiple applications.
Innovation Solution
A centralized weather server provides historical weather data snapshots through an API, allowing remote clients to request weather data by geographical and temporal coordinates, enabling real-time weather simulation without the need for local data searching and facilitating synchronization across multiple clients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If weather simulation is implemented using high-end computing hardware and distributed computing techniques, then weather simulation accuracy and realism are improved, but system cost and complexity increase making it unsuitable for consumer use
Solution Approach 1:
The patent extracts the computationally intensive weather simulation processing from client devices and concentrates it on a centralized server. The server performs all complex weather modeling and data generation, while clients only need to send location requests and receive weather data. This extraction of heavy processing functions resolves the contradiction by maintaining simulation accuracy on the server while eliminating the need for complex hardware at client locations.
Solution Approach 2:
The patent introduces a centralized weather server as an intermediary between weather data sources and simulation applications. This intermediary handles all complex weather simulation computations centrally, providing accurate weather data to multiple clients without requiring each client to have complex simulation hardware. The intermediary absorbs the computational complexity while delivering simplified data streams to clients.
2Adaptability or versatility
If each simulation application performs local weather simulation processing, then application independence is maintained, but computational overhead and resource consumption increase significantly
Solution Approach 1:
The patent merges the weather simulation processing capability into a single centralized server that serves multiple simulation applications. Instead of each application having its own weather simulation engine, all applications share the same centralized weather data source. This consolidation eliminates redundant computational overhead while maintaining application independence, as each application can still request and use weather data according to its specific needs without duplicating the simulation infrastructure.
3Speed
If historical weather data is stored locally in each simulation application, then data access speed is improved, but storage requirements and data synchronization complexity increase
Solution Approach 1:
The patent shifts the weather data storage model from horizontal distribution across multiple client devices to a single centralized vertical repository on the server. Instead of each client storing large volumes of historical weather data locally, the system uses a centralized database that stores weather data once and serves it to all clients on demand. This dimensional change in data architecture eliminates redundant storage while maintaining fast access through efficient server-side data retrieval and caching mechanisms.
Data Source
AI summary
A method and apparatus for providing virtual weather data are described. Embodiments retrieve a plurality of weather data snapshots of historical weather data and provide an API through which a plurality of remote clients request weather data. A request specifying a first set of geographical and spatial coordinates and further specifying a first set of time and date coordinates is received. In response to the request, a first set of weather data is determined from the plurality of weather data snapshots of historical weather data, based on the first set of geographical and spatial coordinates and the first set of time and date coordinates and transmitted to the first remote client. A plurality of follow-on sets of geographical and spatial weather data are also requested and transmitted to the first remote client.