Maintenance Data Extraction and Aggregation System
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Solution Overview
Problem
Maintenance personnel face significant time and resource challenges in researching and extracting information from multiple documents to prepare for maintenance tasks on complex products like aircraft, as they need to search through numerous electronic documents containing specific data scattered across various locations.
Innovation Solution
An integrated data extraction, aggregation, and query system that compiles data from multiple electronic maintenance documents, allowing users to query aggregated data, reducing the time and computational resources required to find necessary information by correlating and storing data in a queryable format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If maintenance personnel search through multiple electronic documents to extract maintenance information, then they can obtain comprehensive maintenance data, but the time required and computing resources consumed increase significantly
Solution Approach 1:
The patent merges multiple scattered maintenance documents into a single integrated maintenance information system. The system consolidates data from various sources (manuals, specifications, work instructions) into one unified platform that maintenance personnel can query simultaneously, eliminating the need to search through multiple separate documents while preserving all necessary maintenance information.
Solution Approach 2:
The system performs preliminary actions by pre-processing and organizing maintenance data before it is needed. Maintenance information is extracted, structured, and indexed in advance according to maintenance tasks and time schedules, so that when maintenance personnel need information, it is already prepared and readily accessible without requiring real-time searching or processing.
2Loss of information
If maintenance personnel search through multiple electronic documents to extract maintenance information, then they can obtain comprehensive maintenance data, but the computing resources required increase significantly
Solution Approach 1:
The system extracts only the necessary maintenance information from large volumes of source documents and stores it in a condensed, optimized format. By extracting and pre-processing only the relevant data fields (maintenance tasks, parts, procedures) rather than storing or processing entire documents, the system reduces computing resource requirements while maintaining access to comprehensive maintenance data.
Solution Approach 2:
The system performs preliminary data extraction, structuring, and indexing operations before maintenance activities begin. This pre-processing transforms unstructured document data into organized, queryable formats with predefined relationships between maintenance tasks and required information, significantly reducing the computational effort needed during actual maintenance operations.
3Adaptability or versatility
If multiple electronic documents are maintained separately, then each document can be optimized for its specific purpose, but the complexity of managing and accessing information across documents increases
Solution Approach 1:
The integrated maintenance information system serves multiple functions simultaneously: it stores maintenance tasks, parts information, procedures, and specifications; it acts as a database, search engine, and information delivery platform; and it supports various maintenance activities (planning, execution, documentation) through a single unified interface, eliminating the need to manage multiple separate document systems.
Solution Approach 2:
The system introduces an intermediary layer between the original maintenance documents and the maintenance personnel. This intermediary automatically extracts, structures, and correlates information from source documents, creating standardized relationships between maintenance tasks and required data. The intermediary handles the complexity of document management internally while presenting a simplified interface to users.
Data Source
AI summary
A method is provided that includes receiving a first electronic document for a manufactured product, with the first electronic document including first data regarding the manufactured product. The method includes extracting the first data from the first electronic document. And the method includes correlating the first data so extracted and second data regarding the manufactured product to produce aggregated data including the first data and second data, and storing the aggregated data in a storage from which the aggregated data is queryable.