Distributed Weather Data Platform Using Virtualized Database
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Solution Overview
Problem
Current weather reporting systems rely on limited, pre-determined weather stations, leading to inaccurate and incomplete weather data, especially as distance increases, and face challenges in accessing, compiling, and analyzing data from disparate sources due to high processing requirements, data privacy concerns, and lack of motivation from data sources to share their data.
Innovation Solution
A distributed weather data distribution platform that collects, analyzes, and provides weather data from various sources, using a virtualized database management system and customizable programming interfaces to handle diverse data types, while ensuring data privacy and providing incentives for data contribution through a distributable currency system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If weather data is collected from multiple disparate sources, then data completeness and accuracy are improved, but processing complexity and computational requirements increase
Solution Approach 1:
The patent introduces a virtualized database management system as an intermediary layer between disparate weather data sources and the final weather products. This virtualized system mediates the complexity by providing a unified interface and abstraction layer, allowing multiple data sources to be accessed and processed without directly managing their individual complexities. The virtualized database handles data integration, validation, and processing workflows, reducing the computational burden on individual processing components.
Solution Approach 2:
The patent segments the weather data processing system into modular components including data collection modules, virtualized database management, analysis components, and product generation modules. Each component handles specific tasks independently, allowing parallel processing and reducing overall system complexity. The segmentation enables distributed processing across multiple systems while maintaining coordinated operation through standardized interfaces.
2Loss of information
If data is collected from distributed sources, then data coverage is improved, but data privacy concerns and access control requirements increase
Solution Approach 1:
The virtualized database management system serves as a privacy-protecting intermediary that sits between data sources and users. It implements access control policies, data anonymization, and selective data release mechanisms. The system can provide aggregated or anonymized weather data to users while preventing access to sensitive underlying source data, thus maintaining data coverage benefits while mitigating privacy risks through controlled intermediary access.
3Device complexity
If traditional weather stations are used, then system simplicity is maintained, but data accuracy and coverage deteriorate with distance
Solution Approach 1:
The virtualized database management system provides a universal platform that can integrate multiple types of weather data sources including traditional weather stations, mobile devices, sensors, and other disparate sources. This multi-functional system replaces the need for numerous specialized systems, maintaining operational simplicity through a single unified interface while dramatically improving data coverage and accuracy by aggregating data from diverse sources at various distances.
Data Source
AI summary
In one example, a computer-implemented method of generating a weather product is disclosed that comprises receiving a product generation input, the product generation input being indicative of a weather product. The method further comprises retrieving a weather data point, based on the product generation input. Further, the method comprises analyzing the weather data point with a weather analysis component to identify weather parameters relevant to the weather product. In addition, the method comprises generating the weather product to include the identified relevant weather parameters.