Component Retrieval Device Using Learning Model for Circuit Design
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Solution Overview
Problem
Designers face challenges in keeping up with rapidly changing component trends, such as shape and cost, due to the vast amount of information and the difficulty in sharing optimal component information across different fields, leading to suboptimal component selection in circuit design.
Innovation Solution
A component retrieval device that utilizes a retrieval history database and a learning model to identify components similar to a retrieval target, based on past user retrievals, and outputs relevant information to support designers in selecting suitable components, facilitating effective component selection through a network-connected system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If designers manually search through vast amounts of component information, then they can access comprehensive component data, but the time and effort required increases significantly
Solution Approach 1:
The system pre-processes and stores component information in a structured database with predefined search criteria and relationships. Retrieval histories are pre-analyzed to identify patterns and similarities, so when a designer searches, the system can quickly retrieve relevant components without manual browsing through vast amounts of data.
Solution Approach 2:
The system utilizes retrieval history feedback to continuously improve search results. By analyzing past retrieval patterns and component selection outcomes, the system refines its recommendations, providing increasingly accurate results that reduce search time while maintaining comprehensive coverage of component information.
2Reliability
If optimal component information is shared across different fields, then component selection quality improves, but information security and access control become more complex
Solution Approach 1:
The database system is designed with universal access structures that can serve multiple fields and departments simultaneously. The same database infrastructure supports various retrieval criteria and user types, enabling broad information sharing while using standardized protocols that simplify rather than complicate the system.
Solution Approach 2:
The system introduces a standardized interface layer between different fields and the component database. This intermediary structure allows various departments to access optimal component information through统一 protocols, improving selection quality while managing information security and access control through standardized mechanisms rather than complex custom solutions.
3Measurement precision
If the system stores detailed retrieval history for all users, then recommendation accuracy improves, but data storage requirements and processing complexity increase
Solution Approach 1:
The system extracts only the essential and relevant features from retrieval history data for storage and analysis. Instead of storing complete detailed histories, it extracts key patterns such as frequently co-retrieved components, preferred component types, and retrieval criteria patterns. This maintains recommendation accuracy while significantly reducing data storage requirements and processing complexity.
Solution Approach 2:
The system applies different levels of detail storage based on local requirements. Frequently accessed components and important retrieval patterns are stored with higher detail, while less critical data is stored with reduced detail or aggregated. This differentiated approach maintains recommendation accuracy for important cases while reducing overall data storage requirements.
Data Source
AI summary
Enclosed herein is a component retrieve device including a memory, and a processor coupled to the memory and configured to receive information for specifying a retrieval target component, refer to a retrieval history of a retrieving person who has retrieved the retrieval target component, specify components similar to the retrieval target component, and output information of the specified components.