Cooking Control Feedback for Personalized Doneness Settings
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Solution Overview
Problem
Existing cooking devices lack the ability to personalize cooking parameters for different user preferences, as their cooking programs are fixed and cannot adapt to individual tastes, leading to inconsistent cooking results.
Innovation Solution
A control method for cooking devices that acquires feedback information on the cooking degree of food after completion, adjusts and saves cooking parameters based on user evaluation, allowing for personalized cooking settings through image identification and feedback loops.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed cooking programs are used in cooking devices, then the device operation is simple and reliable, but the device cannot meet personalized user preferences and cooking degree requirements
Solution Approach 1:
The patent implements feedback by collecting user evaluations of cooking degree after cooking completion, using this feedback to dynamically adjust and optimize cooking parameters for future cooking sessions, enabling personalized cooking without requiring complex upfront programming
Solution Approach 2:
The system performs self-learning by automatically analyzing user feedback and adjusting cooking parameters autonomously, allowing the cooking device to adapt to individual preferences without requiring manual reconfiguration or complex user intervention
2Adaptability or versatility
If cooking parameters are made adjustable for personalization, then user preferences can be satisfied, but the operation complexity increases
Solution Approach 1:
The system automatically learns and adjusts cooking parameters based on user feedback without requiring manual configuration, making the device adaptable to personal preferences while maintaining simple operation through automated parameter optimization
3Adaptability or versatility
If manual parameter adjustment is required for each cooking session, then personalized cooking can be achieved, but the time consumption increases
Solution Approach 1:
The system automatically adjusts cooking parameters based on learned user preferences from previous sessions, eliminating the need for manual parameter setting while maintaining personalized cooking results, thus saving user time
Solution Approach 2:
The system performs preliminary learning during initial cooking sessions to establish personalized cooking parameters, so that subsequent cooking sessions can proceed with pre-optimized settings, reducing time investment in future operations
Data Source
AI summary
A control method for a cooking device includes: after cooking is complete, acquiring feedback information corresponding to a current cooking degree of food material; adjusting and saving cooking parameters corresponding to food materials according to the feedback information. The control method for a cooking device acquires feedback information from a user about the current cooking degree of food material, and obtains the user's evaluation of the current cooking degree of food material. The control method also adjusts cooking parameters corresponding to the food material. The cooking parameters are saved according to the user's evaluation of the current cooking degree of food material, to provide a user-defined cooking degree of food material that satisfies the user's specific requirements of the cooking degree of food material, and improves the intelligence of the cooking device.


