Oven Temperature Control Using Static and Dynamic Corrections
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Solution Overview
Problem
Standard temperature control programs in modern ovens lack accuracy and reliability, leading to inconsistent meal preparation outcomes due to variations in oven design characteristics and operating parameters.
Innovation Solution
A method and temperature control unit that incorporate static and dynamic correction values, calculated using measured parameters, to adjust the heating process, ensuring precise temperature control, energy consumption monitoring, and defect detection, without the need for individual oven measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standard temperature control programs are used in ovens, then the meal preparation process becomes easier, but the temperature control accuracy and reliability deteriorate
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the heating curve parameters (temperature, time, power) based on measured operating conditions such as line voltage, starting temperature, and energy consumption. This allows the control program to adapt to actual oven characteristics and environmental variations, thereby maintaining temperature control accuracy while preserving ease of operation through automated adjustment.
Solution Approach 2:
The patent implements feedback mechanisms by continuously measuring operating parameters (line voltage, energy consumption, temperature) and using these measurements to dynamically correct the heating curve. The measured values are fed back to the control system, which then adjusts the heating parameters to compensate for deviations, ensuring reliable temperature control while maintaining user-friendly operation.
2Reliability
If individual oven measurements and computer processing are performed to achieve accurate temperature control, then temperature control accuracy improves, but device complexity and cost increase
Solution Approach 1:
The patent employs simple, low-cost sensors and measurement devices that can be easily manufactured and integrated into ovens. Rather than using complex measurement systems, the invention uses basic sensors to measure line voltage, energy consumption, and temperature, processing these measurements through relatively simple algorithms to achieve accurate temperature control without significant increases in device complexity or cost.
Solution Approach 2:
The patent enables the oven to self-adjust and self-correct by automatically measuring its own operating parameters and dynamically modifying its heating curve based on these measurements. The system performs its own calibration and optimization without requiring external intervention or complex pre-programming, thereby achieving accurate temperature control while minimizing added complexity.
3Reliability
If dynamic correction variables are calculated using multiple operating parameters and regression analysis, then temperature control accuracy improves, but calculation complexity increases
Solution Approach 1:
The patent applies partial action by using a subset of available operating parameters (line voltage, starting temperature, energy consumption) to calculate dynamic correction variables, rather than attempting to measure and process all possible parameters. The regression analysis uses these selected parameters to generate sufficient correction factors for accurate temperature control without requiring overly complex calculations involving every conceivable variable.
Solution Approach 2:
The patent performs preliminary calculation by pre-determining the correction formula and regression analysis model during system design or initial operation. Once established, these pre-calculated relationships enable rapid real-time adjustments during cooking without requiring complex on-the-fly computations, thereby achieving high temperature control precision while keeping the actual operational calculation complexity low.
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
Enhances temperature control accuracy and reliability, provides real-time feedback on heating time and energy consumption, and alerts users to potential oven defects or inefficiencies, improving meal preparation and extending oven lifespan.
Implementation Method 1
the output of the heating elements
Implementation Method 2
the insulation
Data Source
AI summary
Method for controlling the temperature of an oven, in particular a kitchen oven, so as to reach a preset temperature through a heating process during a predetermined heating period based on a control program, said control program consisting of a general basic control program predefined for a given type of oven and computationally adjusted by a static correction value that reflects the individual oven parameters, and/or a dynamic correction variable that takes into account variable operating parameters of the oven.