Cooking device and control method thereof, and computer-readable storage medium
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Solution Overview
Problem
Existing cooking devices cannot accurately determine the internal temperature of food without damaging its surface and lack intelligent control to adapt to smart home appliance concepts, often resulting in undercooked or burnt food.
Innovation Solution
A control method for a cooking device that uses monitoring data such as surface temperature, weight, and chamber temperature to input into a preset regression model to predict internal food temperature, allowing for non-invasive adjustment of cooking parameters like heating power and humidity to optimize cooking results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a probe is inserted into the food to detect internal temperature, then the user can know whether the food is cooked through, but the integrity of the surface of the food is destroyed and the appearance of the final product is affected
Solution Approach 1:
The patent replaces the mechanical probe insertion method with a non-contact infrared detection system. The infrared sensor detects thermal radiation from the food surface to determine internal temperature without physical contact, thereby preserving food surface integrity while achieving accurate temperature measurement.
Solution Approach 2:
The patent introduces an infrared sensor as an intermediary between the detection system and the food. This intermediary captures thermal information from the food surface, which then serves as input for predicting internal temperature through a regression model, eliminating the need for direct probe insertion.
2Ease of operation
If the cooking device mechanically heats food according to set time and temperature, then the cooking process is simple to control, but the device is not intelligent enough to adapt to current smart home appliance concepts
Solution Approach 1:
The patent implements a feedback control system where the infrared sensor continuously monitors food surface temperature, the regression model predicts internal temperature, and the control unit adjusts heating power accordingly. This closed-loop feedback enables intelligent adaptation while maintaining ease of operation through automatic control.
Solution Approach 2:
The cooking device performs self-adjustment of heating parameters based on real-time temperature monitoring and prediction. The system autonomously determines when cooking is complete without requiring user intervention or probe insertion, making the device both intelligent and easy to operate.
3Device complexity
If the cooking device monitors only chamber temperature and surface temperature, then the monitoring system is simple, but the user cannot intuitively know the actual internal temperature of the food
Solution Approach 1:
The patent replaces direct internal temperature measurement with infrared-based surface temperature monitoring combined with a regression model for prediction. This substitution maintains simple monitoring hardware while recovering internal temperature information through computational methods.
Solution Approach 2:
The patent creates a virtual model of the internal temperature state by using the regression model to copy the relationship between surface and internal temperatures. This virtual copy provides accurate internal temperature information without requiring physical probes to directly measure it.
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 intelligent control of cooking devices to accurately predict and maintain the internal temperature of food without surface damage, ensuring better cooking results by adjusting cooking parameters in real-time based on predicted internal temperatures.
Implementation Method 1
inputting the monitoring data to a preset regression model, to obtain a predicted internal temperature of the cooked object, where the preset regression model is used for representing a correlation between an internal temperature of the cooked object and the monitoring data
Implementation Method 2
Heating principles of existing cooking devices are to apply energy to the surface of the food to heat the food from the outside to the inside
Data Source
AI summary
In a method for controlling a cooking device, during operation of the cooking device at least one monitoring data is obtained, with a dimension of the monitoring data including at least one of a surface temperature of a cooked object, a weight of the cooked object, or a chamber temperature of the cooking device. The monitoring data is inputted to a preset regression model to obtain a predicted internal temperature of the cooked object, with the preset regression model representing a correlation between an internal temperature of the cooked object and the monitoring data. An operating status of the cooking device is adjusted according to at least the predicted internal temperature of the cooked object.