Flight Data Management System Correlating Diverse Schemas
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Solution Overview
Problem
Existing data management systems struggle to efficiently correlate and provide access to diverse flight-related data sets from different sources, which are received asynchronously and in varying schemas and formats, leading to scattered reports and challenges in engine health monitoring.
Innovation Solution
A method and system that correlate multiple flight-related data sets with different schemas and formats by using metadata, such as serial numbers and timestamps, to create flight objects that represent individual flights and provide access to corresponding data sets, enabling unified analytics and engine health monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate data ingestion architectures are used for each data source, then each data source can be handled independently, but data storage systems become scattered and incompatible with each other
Solution Approach 1:
The patent merges multiple separate data storage systems into a unified data storage system that can handle diverse flight data from multiple sources. The system consolidates engine data, flight data, and maintenance data into a single standardized repository, eliminating the need for separate storage architectures for each data source while maintaining the ability to handle their different characteristics.
Solution Approach 2:
The unified data storage system is designed with universal capabilities to store and manage multiple types of flight data from different sources using a standardized schema. The system can accommodate engine parameters, flight conditions, maintenance records, and other data types through a single multi-functional storage architecture that adapts to various data requirements.
2Quantity of substance
If data is received asynchronously from multiple sources, then data collection coverage is improved, but data correlation and coherence become difficult to achieve
Solution Approach 1:
The system performs preliminary actions by establishing a standardized data schema and correlation rules before data arrives. The unified data storage system is pre-configured with the ability to correlate data from multiple asynchronous sources using consistent identifiers and time-stamping mechanisms, enabling automatic coherent reconstruction of flight events as data arrives.
Solution Approach 2:
The patent introduces an intermediary correlation layer that mediates between asynchronous data sources and the unified storage system. This intermediary layer uses standardized identifiers and correlation rules to match data from different sources to the correct flight events, ensuring coherence even when data arrives asynchronously and out of order.
3Measurement precision
If manual cross-referencing is used to produce coherent event perspectives, then data accuracy is improved, but analysis time and resource requirements increase
Solution Approach 1:
The unified data storage system implements self-service automation where the system automatically correlates and reconstructs coherent flight event perspectives without manual intervention. The standardized schema and automated correlation algorithms enable the system to perform data matching and event reconstruction independently, eliminating the need for manual cross-referencing while maintaining high accuracy.
Solution Approach 2:
The patent changes the parameter of data organization from unstructured separate sources to a standardized unified schema with consistent identifiers and time-stamping. This parameter change enables automated correlation algorithms to efficiently match data from multiple sources to the correct flight events, dramatically reducing analysis time while maintaining accuracy through systematic parameter-based matching.
Data Source
AI summary
A method of providing access to flight-related data of aircraft includes correlating a plurality of data sets that are different from each other and each contain flight-related data for one or more aircraft engines, to determine a plurality of flights of the one or more aircraft engines that correspond to the plurality of data sets. At least a portion of the flight-related data describes operation of the aircraft engines during the plurality of flights. The correlating is performed based on metadata of the plurality of data sets, and the plurality of data sets includes a plurality of first data sets that utilize a plurality of different schemas. The method also includes creating, for each of the plurality of flights and based on the correlating, a respective flight object that represents the flight and includes a plurality of discrete flight data objects that each correspond to a respective one of the plurality of data sets for the flight; and utilizing the flight object for one of the flights to provide access to one or more of the data sets for said one of the flights. A system for aircraft data management is also disclosed.