Cooking Program Sequencing for Energy and Time Optimization
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Solution Overview
Problem
Existing cooking methods lack flexibility and automation, leading to suboptimal energy consumption, time usage, and weight loss management during cooking processes, which can result in inconsistent cooking results.
Innovation Solution
A method that optimizes the order of cooking items and programs based on selected start and end times, energy consumption, and weight loss, allowing for automatic execution of multiple nested cooking programs, with an output device indicating loading and unloading times to ensure energy-saving and time-efficient cooking processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple cooking programs are executed manually without optimization, then cooking flexibility is maintained, but energy consumption increases and time efficiency decreases
Solution Approach 1:
The control device pre-calculates and stores the optimal execution sequence of cooking programs before actual cooking begins. By determining the optimal sequence in advance based on cooking parameters, ingredients, and appliance capabilities, the system eliminates real-time decision delays and ensures energy-efficient execution without requiring manual optimization by the user.
Solution Approach 2:
The system continuously monitors actual cooking progress and compares it with the optimized sequence, adjusting execution timing and resource allocation in real-time. This feedback mechanism ensures that the cooking process maintains optimal energy efficiency while adapting to actual cooking conditions, preventing energy waste from suboptimal sequencing.
2Productivity
If cooking processes are automated with optimized sequencing, then energy consumption and time usage improve, but system complexity increases
Solution Approach 1:
The control device autonomously determines and executes the optimal cooking sequence without requiring complex user input or manual intervention. The system uses stored cooking program data and current appliance state to self-determine the best execution order, reducing the need for complex user-interface elements while maintaining high cooking efficiency through automated optimization.
Solution Approach 2:
Optimization algorithms and cooking sequences are pre-calculated and stored in the control device during manufacturing or initial setup. This preliminary preparation of optimization data reduces the computational complexity required during actual cooking operations, as the system only needs to retrieve and execute pre-determined optimal sequences rather than performing complex real-time optimization calculations.
3Ease of operation
If cooking parameters are manually adjusted for each item, then cooking precision is maintained, but ease of operation decreases
Solution Approach 1:
The control device continuously monitors cooking progress and automatically adjusts parameters based on real-time feedback from sensors and pre-stored optimization data. This closed-loop control maintains cooking precision by adapting to actual cooking conditions while eliminating the need for manual parameter adjustment by the user, thereby improving ease of operation without sacrificing cooking accuracy.
Solution Approach 2:
Optimal cooking parameters and adjustment schedules are pre-calculated and stored for different cooking scenarios. The system retrieves these pre-determined parameters based on the selected cooking program and automatically applies them, eliminating the need for manual parameter tuning while maintaining high cooking precision through scientifically optimized pre-calculated settings.
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 approach enhances cooking flexibility and safety while ensuring a desired cooking result by optimizing energy use, time, and weight loss, allowing for efficient management of cooking processes and reducing resource wastage.
Implementation Method 1
a heating device (120), comprising at least one electric heater, a gas burner, a heat exchanger and/or a device for emitting electromagnetic radiation into the cooking chamber
Implementation Method 2
in the form of a microwave source
Implementation Method 3
a device for introducing moisture into the cooking chamber, comprising at least one steam generator
Data Source
AI summary
The method involves optimizing a sequence of cooking cooking products based on a parameter e.g. cooking product, so that the cooking process is optimized with regard to one of the energy consumed by a cooking appliance, the required time, and weight loss of the cooking product. A loading request in dependence of the entered parameter, and an error message in dependence of the entered parameter, are displayed with the output device. A multiple number of cooking programs are run during the cooking process. An independent claim is also included for a cooking appliance comprises a control or regulating device, which is in working connection with an input device and an output device for performing a cooking process.