Method for operating a domestic cooking appliance and domestic cooking appliance
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Solution Overview
Problem
Existing household cooking appliances lack the ability to automatically achieve a desired surface property for food, such as temperature or browning, in a simple and effective manner, especially when using microwaves or HF radiation.
Innovation Solution
A method for operating a household cooking appliance that uses multiple parameter configurations for food handling and sensors to determine surface property distributions, iteratively adjusting these configurations to minimize deviation from a target distribution, allowing for dynamic and efficient control of heating patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing household cooking appliances use conventional heating methods, then they can heat food, but they lack the ability to automatically achieve desired surface properties such as temperature distribution or browning
Solution Approach 1:
The patent implements feedback control by continuously measuring the actual surface property distribution (temperature, browning) of the food and comparing it with the target distribution. The control system then adjusts the heating power distribution across different heating zones based on the deviation between actual and target values, enabling automatic achievement of desired surface properties without complex manual intervention
Solution Approach 2:
The patent divides the heating system into multiple dynamically controllable heating zones with independent power adjustment capabilities. The system dynamically adjusts the power distribution to different zones based on real-time feedback, allowing flexible and adaptive control of heat application to achieve uniform or targeted surface properties
2Manufacturing precision
If the cooking appliance uses multiple parameter configurations for local food handling, then it can achieve better surface property control, but the computing effort and memory requirements increase
Solution Approach 1:
The patent segments the food surface into multiple measurement zones and controls heating through multiple independent heating zones. Each zone has its own sensor measurements and power control parameters. This segmentation enables localized control of surface properties without requiring complex global calculations, reducing computing effort while maintaining precision
Solution Approach 2:
The patent changes the control parameters from complex multi-dimensional optimization to simplified zone-based power adjustment. By representing the surface property control through discrete zone power levels rather than continuous complex parameters, the system reduces memory requirements and computing effort while achieving the desired surface property uniformity
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
This method enables rapid and effective achievement of desired surface properties in food, reducing computing effort and memory requirements, and allows for intelligent control of cooking appliances to produce optimal results based on real-time data from sensors.
Implementation Method 1
at least one sensor which is directed into the cooking chamber for determining distributions of a surface property of the food
Implementation Method 2
The invention is advantageously applicable, in particular, to microwave appliances
Data Source
AI summary
In a method for treating food in a food handling device with a parameter configuration a measured value distribution of a surface property of the food is determined after expiration of the period of time by means of a sensor. A pattern of change is calculated from a comparison of the p-th measured value distribution with a measured value distribution determined previously. An assessment value Bq which represents a difference between a deviation of a target distribution from the measured value distribution and a deviation of the target distribution from a prediction pattern is calculated for all patterns of change stored hitherto. The prediction pattern is formed by superimposing the measured value distribution with the respective pattern of change, and the parameter configuration is set for which the assessment value Bq meets at least one predetermined criterion.