Intelligent cooking system with acoustic sensing
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Solution Overview
Problem
Cooking is a complex process involving numerous variables and dependencies, making it challenging to achieve desired cooking results and maintain control over the cooking process.
Innovation Solution
An intelligent induction cooking system that integrates induction heating, cookware detection, sensor measurements, and app control to optimize the cooking experience. This system provides dynamic, contextual user interfaces and closed-loop temperature control, adapting to the type of cookware detected and optimizing power delivery to ensure predictable and repeatable cooking results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional cooking methods are used, then the cooking process is simple, but it is challenging to achieve desired cooking results and maintain control due to numerous variables
Solution Approach 1:
The patent implements feedback mechanisms through multiple sensors (acoustic, temperature, weight) that continuously monitor cooking parameters and provide real-time data to the control system. This enables dynamic adjustment of cooking parameters to achieve precise cooking results while managing system complexity through automated control loops.
Solution Approach 2:
The patent replaces traditional mechanical cooking control with intelligent systems including acoustic sensing, microcontrollers, and automated feedback loops. This substitution enables precise control of cooking variables through electronic and acoustic monitoring rather than manual mechanical adjustment.
2Measurement precision
If acoustic sensing is added to detect cooking state, then cooking control is improved, but device complexity increases
Solution Approach 1:
The patent integrates acoustic sensing capability into the existing cooking device structure, allowing the same device to perform both cooking and acoustic detection functions. This multi-functionality approach improves measurement precision without proportionally increasing overall device complexity by sharing common hardware and control infrastructure.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The intelligent induction cooking system enhances the cooking user experience by providing adaptive user interfaces and precise temperature control, ensuring consistent and reliable cooking outcomes while simplifying the cooking process.
Implementation Method 1
an acoustic sensor configured to detect vibrations of the cooking vessel
Implementation Method 2
intelligent induction cooking system
Data Source
AI summary
Cookware identification includes exciting a cooking vessel using an excitation component. It further includes sensing an acoustic response of the cooking vessel to the excitation using a sensor. It further includes determining a type of the cooking vessel based at least in part on the acoustic response of the cooking vessel to the excitation that is sensed via the sensor.Ingredient state detection includes sensing, using an acoustic sensor, vibrations pertaining to cooking of an ingredient in a cooking vessel. It further includes monitoring, over time, a signal that is based on the vibrations sensed by the acoustic sensor. It further includes, based on detecting a change in the signal that is based on the vibrations sensed by the acoustic sensor, determining a state of the ingredient.