Flight Identifier Matching With Confidence-Based Record Linking
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Solution Overview
Problem
The lack of industry standards for generating and linking flight identifiers across different data sources in air traffic management systems leads to discrepancies and inefficiencies, particularly in cases of tail swaps and outdated data among entities like ANSPs and airlines.
Innovation Solution
A method for receiving flight data from multiple sources, calculating confidence values for matching flight objects with global identifier records, and updating records when confidence exceeds a threshold, ensuring data consistency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If distinct identifiers are assigned by each source entity to flights, then each entity can effectively distinguish and track interventions for particular flights, but discrepancies arise when sharing data across entities as different entities have differing portions of shared data and may not have the most recent version
Solution Approach 1:
The patent merges multiple flight identifiers from different data sources (ANSPs, airlines, etc.) into a single unified global identifier. The system receives flight data from multiple sources, matches them using confidence values, and creates a consolidated record with a unique global identifier that represents the flight across all sources, eliminating discrepancies caused by multiple distinct identifiers.
Solution Approach 2:
The system introduces a global identifier as an intermediary element that mediates between different data sources. This global identifier acts as a common reference point that links flight records from ANSPs, airlines, and other entities, enabling consistent data sharing without requiring each entity to maintain its own identifier system.
2Measurement precision
If real-time flight data is continuously monitored and updated across multiple sources, then the most up-to-date flight information is available, but constant monitoring of real-time feeds is required which increases operational complexity and resource consumption
Solution Approach 1:
The system performs preliminary actions by pre-establishing confidence value thresholds and pre-processing flight data from multiple sources before they are needed. When new flight data arrives, the system can quickly match it against existing records using pre-defined criteria, reducing the time required for synchronization without compromising accuracy.
Solution Approach 2:
The system uses confidence values as feedback mechanisms to assess the quality and reliability of matched flight records. By continuously monitoring confidence values and updating records based on new data, the system maintains high data accuracy while efficiently managing update cycles without requiring constant real-time processing.
3Adaptability or versatility
If flight data from multiple sources is shared without industry standards, then data from various sources can be accessed, but no industry standards exist for generating identifiers or linking with identifiers received from different sources
Solution Approach 1:
The system creates a universal global identifier that serves multiple functions: it identifies flights across different data sources, links related records from ANSPs and airlines, and provides a common reference for data sharing. This universal identifier system enables compatibility with multiple data sources without requiring source-specific identifier handling.
Data Source
AI summary
The present disclosure provides a method comprising receiving, from a first data source, information for a flight object comprising a first set of fields and corresponding values that describe a first flight. The method further comprises retrieving global identifier record(s) from a database. Each global identifier record comprises a unique global identifier for a respective flight and a respective second set of fields and corresponding values of the database that describe the respective flight. The method further comprises calculating, based on a comparison of the first set with some or all of the respective second set(s), a respective confidence value for each pairing of the flight object with a respective one of the global identifier record(s). The method further comprises updating, when a calculated confidence value exceeds a threshold value, the global identifier record corresponding to the calculated confidence value using information from the first set.