Associative Memory Subsystem for Part Lifecycle Analysis
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Solution Overview
Problem
Current part lifecycle analysis systems fail to efficiently identify and manage similar parts with common attributes due to large volumes of diverse data, leading to complex computational issues and prolonged analysis times, especially in complex manufacturing processes like aircraft construction.
Innovation Solution
A non-conformance analysis system utilizing an associative memory subsystem with an entity analytics engine that categorizes and retrieves relevant information from a user-defined query, enabling rapid identification and management of part lifecycles by correlating attributes across multiple sources and formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional databases are used to track part information, then comprehensive part data can be stored, but analysis time and computational complexity increase significantly
Solution Approach 1:
The patent extracts and isolates specific attributes (coating, manufacturer, part number) from the large volume of part data, allowing the system to focus analysis on only the relevant characteristics rather than processing entire datasets, thereby reducing analysis time while maintaining comprehensive data storage capabilities
Solution Approach 2:
The patent introduces an intermediary layer that maps different attribute names and formats to a standardized set of concepts, enabling efficient retrieval and correlation of part information without requiring direct processing of all raw data, thus reducing computational complexity and analysis time
2Loss of information
If free text data from multiple sources is collected, then comprehensive part information can be captured, but data standardization and correlation become more complex
Solution Approach 1:
The patent transforms free text data into standardized parameter formats by defining a controlled vocabulary of attributes (coating, manufacturer, part number) and mapping various text representations to these standard parameters, thereby maintaining information completeness while simplifying data correlation and reducing computational complexity
3Reliability
If all parts with common attributes are reviewed, then comprehensive lifecycle analysis can be performed, but the process becomes time-consuming and costly
Solution Approach 1:
The patent segments the part data into distinct attribute categories (coating, manufacturer, part number) and enables selective querying of these segments, allowing users to focus analysis on specific attributes of interest rather than reviewing all parts comprehensively, thereby maintaining analytical reliability while significantly improving productivity and reducing costs
Data Source
AI summary
A non-conformance analysis system may have an associative memory subsystem populated with information involving a plurality of entities defining different attributes of a component, with each entity being categorized under a user defined entity type, the entities and entity types forming an associative memory. A user input device may be used for enabling a user to input a query concerning the component, and to obtain information useful for managing a lifecycle of said component. An associative memory entity analytics engine in communication with the associative memory subsystem, and responsive to said user input device, searches the associative memory using the information provided in the query to retrieve entities helpful to the user in assessing the lifecycle of the component.