Dynamic Aeronautical Data Provider Selection Through Quality Validation
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Solution Overview
Problem
Existing aeronautical data providers offer varying data quality and accuracy based on location, making it difficult to seamlessly integrate and switch between different data sources during flights.
Innovation Solution
A system and method for dynamically selecting the most accurate aeronautical data provider by comparing received data against secondary sources with known quality, normalizing and grouping data attributes, and using machine learning to predict the best data source based on parameters like latitude, longitude, altitude, and time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple aeronautical data providers are used to cover different geographic regions, then geographic coverage is improved, but data quality and accuracy vary by location making it difficult to determine the best data source
Solution Approach 1:
The patent introduces a data validation and selection system as an intermediary between multiple aeronautical data providers and the end user. This intermediary continuously compares data from multiple providers against known good data and automatically selects the most accurate source, resolving the contradiction by enabling use of multiple providers for broad coverage while maintaining high data accuracy through automated validation.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring data quality from multiple providers and using this information to adjust selections. The system compares received data against secondary data sources with known quality and uses this feedback to dynamically determine which provider's data is most accurate at any given location, thereby maintaining high measurement precision across extensive geographic coverage.
2Reliability
If data from multiple aeronautical data providers is collected and compared, then data quality determination is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service by enabling the system to automatically validate and select data sources without external intervention. The data validation and selection system autonomously compares multiple providers' data against known good data, normalizes data formats, and makes independent decisions about which source to use, thereby improving reliability while managing complexity through automation rather than manual processes.
Solution Approach 2:
The system manages complexity by transforming the problem into parameter-based comparisons. Instead of dealing with complex data structures directly, the system normalizes data to standard parameters and compares them against established criteria. This parameter transformation simplifies the validation process and makes data quality determination more systematic and manageable.
3Measurement precision
If real-time data validation and provider selection is performed, then data accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by pre-establishing validation criteria and known good data sources before actual data processing occurs. The system prepares reference data and validation rules in advance, enabling rapid comparison and selection when real-time data arrives. This preliminary preparation significantly reduces processing time while maintaining high accuracy, as the real-time task becomes merely comparison rather than analysis.
Data Source
AI summary
Apparatuses, methods, systems, and program products are disclosed for dynamic selection of an aeronautical data provider. An apparatus includes a processor and a memory that stores code executable by the processor to receive streams of aeronautical data from a plurality of aeronautical data providers streaming aeronautical data from different geographic locations, determine a quality of each of the received streams of aeronautical data by checking the aeronautical data against data provided by at least one secondary data source that has a known quality, select an aeronautical data provider of the plurality of aeronautical data providers that provides a stream of aeronautical data that is closest to the data provided by the at least one secondary data source, and expose aeronautical data from the stream of aeronautical data of the selected aeronautical data provider to an end user according to one or more parameters.