Automated Vehicle Data Filtering Workflow

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Solution Overview

Problem

The manual processing of vehicle operational data requests by suppliers is time-consuming and delayed due to the need for manual review and internal approvals, especially when sensitive or irrelevant data must be filtered out for specific sub-systems, leading to inefficiencies in data delivery and analysis.

Innovation Solution

A data request workflow system that includes a file processing system applying predefined editing rules to filter and convert vehicle operational data automatically, ensuring only relevant data is transmitted in a usable format to users, with airline personnel defining and approving the edited data files prior to transmission.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If manual review and internal approvals are used to filter vehicle operational data, then data privacy and relevance are maintained, but turnaround time for data delivery increases significantly

Engineering Contradiction:
Improvedata privacyVSAvoidturnaround time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-defining editing rules and criteria for data filtering before actual data requests are processed. These rules establish in advance what data should be included, excluded, or anonymized, allowing automated processing that maintains privacy standards while eliminating manual review delays.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The file processing system performs self-service by automatically applying predefined editing rules to filter and convert vehicle operational data without requiring manual human intervention. The system independently determines which data to include, exclude, or anonymize based on established criteria, thereby maintaining data privacy while dramatically reducing turnaround time.

Inventive Principle:
Principle #25Self-service

2Quantity of substance

If all vehicle operational data is collected and made available, then data completeness is improved, but data relevance for specific sub-systems decreases due to inclusion of irrelevant parameters

Engineering Contradiction:
Improvedata completenessVSAvoiddata relevance
Core Design Contradiction:
Quantity of substanceVSEase of operation

Solution Approach 1:

The system extracts only the relevant subset of vehicle operational data needed by specific sub-system suppliers while excluding irrelevant parameters. The file processing system applies editing rules to pull out only the necessary data elements from the complete vehicle operational dataset, delivering data completeness for relevant parameters while filtering out unnecessary information.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies local quality by tailoring the data output to match the specific needs of different sub-system suppliers. Each supplier receives a customized data set with the precise parameters relevant to their sub-system, rather than a uniform complete dataset. This ensures data relevance is optimized for each specific application while maintaining completeness of the required parameters.

Inventive Principle:
Principle #3Local quality

3Reliability

If manual data filtering and editing is performed, then data accuracy and privacy protection are ensured, but productivity and efficiency of data delivery decrease

Engineering Contradiction:
Improvedata accuracyVSAvoiddata delivery efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system implements feedback mechanisms where the automated file processing system continuously applies and refines predefined editing rules based on established criteria. The system monitors data processing outcomes and adjusts its filtering and conversion operations to maintain data accuracy and privacy protection standards while operating at high automated speeds, thereby ensuring reliability without sacrificing productivity.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system replaces the mechanical manual process of data filtering and editing with an automated electronic file processing system. This substitution maintains data accuracy and privacy protection through programmed editing rules while dramatically increasing data delivery efficiency by eliminating manual operations. The automated system performs filtering, conversion, and delivery tasks that were previously done manually, achieving both reliability and high productivity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12079221B2Data request workflow system
Publication Date: 2024.09.03 RTX CORP
  • US12079221B2 patent drawing
  • US12079221B2 patent drawing
  • US12079221B2 patent drawing

AI summary

A data request workflow system comprises vehicle operational data. A file delivery request comprises a data request for a subset of the vehicle operational data. A file processing system receives the vehicle operational data and includes at least one set of predefined file editing rules. The file processing system automatically applies at least one set of predefined file editing rules to filter out a predefined sub-set of the vehicle operational data and to automatically edit data that is part of the data request per predefined criteria for each type of vehicle operational data to provide a converted data file to be transmitted to a user that submitted the file delivery request.