Automatic Maintenance Data Integration via Link Extraction
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Solution Overview
Problem
Maintenance operatives face significant challenges in efficiently extracting pertinent data from a vast array of documentary elements with complex link structures, leading to high time and cost burdens during maintenance operations on aircraft.
Innovation Solution
A system and method for automatic integration of maintenance data using a processor to extract pertinent links and data based on predetermined extraction rules, reducing the need for manual selection and grouping of information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If maintenance operatives manually search and select pertinent data from multiple documentary elements, then they can extract necessary maintenance information, but the process consumes significant time and requires highly experienced operatives
Solution Approach 1:
The patent replaces the manual mechanical process of searching and selecting documentary elements with an automated computer-based system. The processor automatically retrieves, analyzes, and integrates data from multiple documentary elements based on extraction rules, eliminating the need for manual intervention while maintaining high accuracy in data extraction.
Solution Approach 2:
The patent introduces an intermediary automated system that acts as a mediator between the maintenance operative and the complex network of documentary elements. This intermediary processor handles the complex task of navigating link structures, selecting pertinent data, and integrating information, thereby reducing both time consumption and the expertise burden on maintenance operatives.
2Reliability
If the system includes a large quantity of documentary elements with complex link structures to ensure comprehensive data coverage, then all necessary maintenance information is available, but the complexity of selecting pertinent links increases significantly
Solution Approach 1:
The patent segments the complex task of data integration into manageable components: (1) retrieval of documentary elements based on maintenance task identifiers, (2) analysis of link structures using extraction rules, (3) selection of pertinent links, and (4) integration of data from selected elements. This segmentation simplifies the overall system complexity while maintaining comprehensive data coverage.
Solution Approach 2:
The patent changes the parameter of data processing from manual selection based on operative expertise to automated processing based on predefined extraction rules. This parameter change transforms the complexity from human cognitive complexity to algorithmic complexity, which can be systematically managed and optimized.
3Measurement precision
If highly experienced maintenance operatives perform manual data selection and grouping, then accurate integration of pertinent information is achieved, but the process requires significant expertise and time investment
Solution Approach 1:
The patent implements a self-service system where the automated processor independently performs data retrieval, analysis, selection, and integration without requiring manual intervention from maintenance operatives. The system serves itself by automatically generating the integrated maintenance information package, thereby improving ease of operation while maintaining integration accuracy through rule-based processing.
Data Source
AI summary
Automation of the extraction and the consolidation of maintenance data and relates to a method and a system for automatic integration of data among a plurality of maintenance data, the plurality of maintenance data being diffused through a set of maintenance documentary elements comprising a set of directed links, the system including a processor configured for extracting a subset of pertinent links according to predetermined extraction rules and for integrating into a resultant element pertinent maintenance data sourced from a subset of pertinent maintenance documentary elements associated with the subset of pertinent links.