Design Support Device Prioritizing Improvement Plans for Trade-Offs
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Solution Overview
Problem
Existing design supporting systems, such as TRIZ and known problem-solving support systems, present abstract solution concepts that require user skill, experience, and knowledge to materialize design plans, making it difficult for users to create specific improvement plans for evaluation indexes with trade-off relationships, especially in applications like heat radiation fins or fan blades.
Innovation Solution
A design supporting device and method that includes an input unit for evaluation indexes and attribute information, a retrieval unit to acquire relevant cases, a priority order calculation unit to prioritize improvement plans, and an output unit to present these plans in descending priority order, using a case database and natural language processing to provide concrete and prioritized improvement plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If abstract solution concepts from TRIZ are presented to users, then users can access a wide range of inventive principles, but users require extensive skill, experience and knowledge to materialize design plans
Solution Approach 1:
The patent introduces an AI assistant as an intermediary between the TRIZ knowledge base and the user. The AI assistant automatically retrieves relevant inventive principles from the database based on the design problem, calculates contribution degrees and similarities, and presents prioritized solutions. This mediator eliminates the need for users to manually search and interpret abstract TRIZ concepts, thereby reducing the expertise barrier while maintaining access to comprehensive inventive principles.
Solution Approach 2:
The patent replaces the manual mechanical process of searching, analyzing, and selecting TRIZ principles with an automated AI-based information processing system. The system uses natural language processing, similarity calculation, and contribution degree evaluation to automatically generate prioritized design suggestions, substituting human cognitive effort with computational intelligence.
2Adaptability or versatility
If multiple evaluation indexes are considered simultaneously, then design plans can satisfy comprehensive requirements, but trade-off relationships make it difficult to resolve conflicting objectives
Solution Approach 1:
The patent implements a feedback mechanism where the AI assistant calculates the contribution degree of each inventive principle to multiple evaluation indexes simultaneously. By quantifying how each principle affects different objectives (e.g., performance, cost, reliability), the system provides feedback that helps users understand trade-offs and select principles that achieve the best overall balance among conflicting requirements.
Solution Approach 2:
The patent transforms qualitative trade-off relationships into quantitative parameters by calculating contribution degrees and similarity scores. This parameter transformation allows the system to objectively compare and prioritize different inventive principles based on their impact on multiple evaluation indexes, making it easier to resolve conflicting objectives through data-driven decision-making.
3Adaptability or versatility
If abstract inventive principles are presented without prioritization, then users have access to all possible solutions, but users get lost in deciding what design plan to make
Solution Approach 1:
The patent performs preliminary actions by automatically calculating contribution degrees and similarity scores for all candidate inventive principles before presenting them to the user. The system pre-processes the information, ranks the principles by priority, and prepares prioritized design suggestions in advance, saving users the effort of manual evaluation and enabling them to quickly identify the most promising solutions.
Solution Approach 2:
The patent segments the comprehensive set of inventive principles into prioritized groups based on their contribution degree and similarity to the design problem. By dividing the large set of possible solutions into ranked categories, the system makes the information more manageable and easier to navigate, allowing users to focus on high-priority solutions first while still having access to the complete solution space if needed.
Data Source
AI summary
To provide a design supporting device and a design supporting method capable of presenting a specific improvement plan for solving evaluation indexes having a trade-off relationship. The design supporting device comprises: an input unit which inputs a plurality of evaluation indexes and attribute information; a retrieval unit which acquires information on cases for improvement cases using the input information; a priority order calculation unit which prioritizes the cases; and an output unit which prioritizes cases for improvement plans of evaluation indexes being in a trade-off relationship and presents the same to the outside.