Induction Coil Self-Sensing for Adaptive Cooking Control
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Solution Overview
Problem
Conventional induction cooking stoves require users to manually adjust heat quantity and heating time based on empirical methods, leading to inconsistent cooking results, as they lack real-time temperature measurement and adaptive control for different food types.
Innovation Solution
An intelligent heater system with an induction coil, control panel, power supply unit, storage unit, data transmission interface, and controlling unit that allows for adaptive adjustment of heat quantity and heating time based on stored cooking data, and a temperature measuring device for real-time temperature data transmission to the heater.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual adjustment of heat quantity and heating time is used, then device complexity is reduced, but cooking precision and reliability deteriorate
Solution Approach 1:
The system performs self-measurement of foodstuff temperature through the induction coil and self-adjustment of heating parameters through the controlling unit, eliminating the need for external thermometers and manual adjustment. The induction coil serves dual purposes: heating and temperature sensing, enabling the system to automatically adapt to different food types and achieve optimal cooking results without complex user intervention.
Solution Approach 2:
The system implements real-time feedback by continuously monitoring the temperature of the foodstuff container via the induction coil and adjusting the power supply accordingly. The controlling unit receives temperature information and modifies the electricity quantity to maintain optimal cooking temperature, creating a closed-loop control system that ensures consistent and precise cooking results.
2Measurement precision
If thermometer is used to measure foodstuff temperature, then temperature measurement accuracy is improved, but operation complexity and time consumption increase
Solution Approach 1:
The induction coil performs self-measurement of temperature without requiring external thermometers. The system uses the coil's electromagnetic field to detect temperature changes in the foodstuff container, eliminating the need for users to manually insert thermometers and perform separate temperature measurements, thereby simplifying operation while maintaining accuracy.
Solution Approach 2:
The system merges the heating function and temperature measurement function into a single induction coil assembly. The coil simultaneously serves as both the heating element and the temperature sensor, integrating multiple functions into one component and eliminating the need for separate measurement devices.
3Manufacturing precision
If continuous adjustment of heat quantity is performed, then cooking precision is improved, but time consumption increases
Solution Approach 1:
The system uses real-time temperature feedback from the induction coil to automatically adjust heat quantity, eliminating the need for continuous manual monitoring and adjustment. The controlling unit processes temperature information and modifies power output accordingly, achieving precise cooking control without requiring user time investment.
Solution Approach 2:
The system performs automatic self-adjustment of heating parameters based on real-time temperature conditions, freeing the user from continuous manual intervention. The controlling unit independently manages the heating process by monitoring temperature and adjusting power supply as needed.
4Device complexity
If empirical determination of cooking data is used, then device complexity is reduced, but adaptability to different foodstuffs deteriorates
Solution Approach 1:
The system implements adaptive control through real-time temperature feedback that automatically adjusts heating parameters according to the specific foodstuff being cooked. The controlling unit processes temperature information and modifies power supply to optimize cooking for different food types, enabling the system to adapt to various culinary requirements without pre-programming.
Solution Approach 2:
The system transitions from static empirical cooking data to dynamic real-time temperature-based control. The heating parameters are continuously adjusted based on actual temperature conditions, allowing the system to adapt to different foodstuffs and cooking requirements dynamically rather than relying on fixed pre-set values.
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
Enables precise and adaptive cooking by automatically adjusting heat quantity and heating time according to different food types, ensuring optimal cooking results and allowing for data sharing with external devices.
Implementation Method 1
When a current flows through the induction coil of the induction cooking stove, electromagnetic induction is performed to produce eddy current, thereby heating a foodstuff container.
Implementation Method 2
When a current flows through the induction coil of the induction cooking stove, electromagnetic induction is performed to produce eddy current, thereby heating a foodstuff container.
Data Source
AI summary
An intelligent heater includes a first induction coil, a control panel, a power supply unit, a storage unit, a data transmission interface, and a controlling unit. The control panel includes an input unit for inputting, adding, amending, deleting or refreshing a cooking data and a display unit for showing an operating condition of the intelligent heater. The power supply unit is connected with the first induction coil for providing a first power to the first induction coil. The storage unit is used for storing the cooking data. The data transmission interface is used for transmitting the cooking data. The controlling unit is used for controlling the power supply unit to provide an electricity quantity of the first power to the first induction coil according to the cooking data, so that a heat quantity and a heating time required for heating a first foodstuff container are adaptively adjusted.