Aeronautical Quality Control System Using Digital Models and Decision Trees
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Solution Overview
Problem
The existing quality control processes in aeronautical construction are complex, time-consuming, and costly due to the numerous manual steps and potential for errors in the quality control of aircraft elements, leading to inefficiencies and inconsistencies in conformity assessments.
Innovation Solution
A quality control system that includes a human-machine interface connected to a concession management server, linked to databases containing aircraft configuration, fault types, and three-dimensional digital models, utilizing decision trees and augmented reality to guide operators through the identification and validation of nonconformities, thereby standardizing and automating the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual quality control procedures are used with multiple agents performing analysis and validation steps, then thorough conformity assessment is achieved, but the process becomes complex and time-consuming
Solution Approach 1:
The patent replaces manual mechanical processes (paper-based reports, physical document transmission between agents) with an automated digital system. The server automatically generates concession declarations, manages workflows, and stores data electronically, eliminating manual handling and significantly reducing processing time while maintaining assessment accuracy.
Solution Approach 2:
The system enables self-service through automated workflow management. The server automatically routes concession declarations to appropriate agents, tracks processing status, and manages document versions without requiring manual intervention from each agent. This automation reduces the time agents spend on administrative tasks while preserving thorough review processes.
2Reliability
If multiple round trips between different agents are performed for analysis and validation, then comprehensive quality control is achieved, but device complexity increases
Solution Approach 1:
The server performs multiple functions within a single system: it stores concession declarations, manages workflows, generates reports, tracks processing status, and communicates with multiple agents. This multi-functional approach consolidates what would otherwise require separate systems for each function, reducing overall complexity while maintaining comprehensive quality control.
Solution Approach 2:
The system implements automated feedback loops where the server continuously monitors the status of concession declarations and automatically notifies relevant agents when actions are required. This structured feedback mechanism replaces ad-hoc communication, reducing process complexity while ensuring thorough review through systematic tracking of each declaration's progression through validation stages.
3Adaptability or versatility
If manual report generation and transmission is used, then flexibility in documentation is achieved, but errors and omissions increase
Solution Approach 1:
The patent replaces manual report generation with automated electronic document creation. The server automatically generates concession declarations with consistent formatting, validates required fields, and ensures data integrity through systematic processing. This automation eliminates manual errors while maintaining flexibility through configurable templates and customizable report structures.
Data Source
AI summary
The disclosure herein relates to a quality control method and system in aeronautical manufacturing. The system comprises a tablet connected to a concession management server, the server being itself linked to an aircraft configuration database, a three-dimensional digital model of the aircraft and a fault database. The element to be inspected is identified using the digital model and the fault is characterized by browsing a predetermined decision tree associated with the element.