System and method for individual heating element control
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Solution Overview
Problem
Conventional heating element control systems in appliances lack the ability to provide fine-grained, temporally- and spatially-variant heating patterns, are not dynamically responsive, and require manual specification of heating element outputs, which limits their flexibility and efficiency in cooking various types of food.
Innovation Solution
A method and system for individual heating element control that identifies food within a cook cavity, determines cooking instructions, and dynamically adjusts the power output of heating element subsets based on models, allowing for spatiotemporal control and validation of control instructions to prevent overloads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional heating element control systems are used, then the system structure is simple, but the ability to provide fine-grained spatiotemporal heating patterns is limited
Solution Approach 1:
The heating element is divided into multiple independently controllable segments or zones, allowing different portions of the heating element to operate at different power levels simultaneously. This segmentation enables fine-grained spatial control of heating patterns while maintaining a relatively simple overall system architecture through modular control.
Solution Approach 2:
The control system dynamically adjusts the power output of different heating element zones in real-time based on feedback from temperature sensors and cooking conditions. This dynamic control enables temporal variation in heating patterns, allowing the system to adapt to changing cooking requirements without requiring complex manual intervention.
2Adaptability or versatility
If manual specification of heating element outputs is required, then the control logic is simple, but the flexibility and efficiency in cooking various foods is reduced
Solution Approach 1:
The control system automatically determines the optimal power distribution across heating element zones based on sensor data, food type detection, and pre-programmed cooking algorithms. The system serves itself by making control decisions without requiring manual specification, thereby increasing cooking flexibility while maintaining ease of operation through automated intelligence.
Solution Approach 2:
The system continuously monitors temperature, heating element output, and cooking conditions, then uses this feedback to automatically adjust the power distribution across different zones. This closed-loop control enables the system to adapt to various food types and cooking stages automatically, providing flexibility without requiring manual intervention.
3Reliability
If heating element power output is not dynamically adjusted, then the system operation is simple, but the responsiveness to current cook cavity conditions is reduced
Solution Approach 1:
Temperature sensors continuously monitor the cook cavity conditions and feed this information back to the control system, which then dynamically adjusts the power output of different heating element zones in real-time. This feedback mechanism ensures reliable responsiveness to changing cooking conditions while keeping the control mechanism relatively simple through straightforward sensor-controller-actuator loops.
Solution Approach 2:
The system replaces complex mechanical control mechanisms with electronic sensing and control, using temperature sensors and electronic power regulation to achieve dynamic adjustment of heating element output. This substitution enables responsive control with simpler overall system architecture compared to mechanical control systems.
4Manufacturing precision
If individual heating element control is implemented, then the heating precision is improved, but the risk of overloads increases
Solution Approach 1:
The control system distributes the total power demand across multiple heating element zones, activating only the portions needed for the current cooking task. By applying partial action (activating only necessary zones) and distributing the load, the system achieves precise heating control while preventing overloads through inherent load distribution across multiple independent zones.
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 finer control over heating patterns, reduces manual intervention, and allows for food-agnostic cooking, ensuring efficient and safe operation by dynamically adjusting heating element power outputs based on current cook cavity conditions.
Implementation Method 1
controlling each heating element subset based on the respective control instructions
Data Source
AI summary
In variants, a method for individual heating element control can include: identifying food within a cook cavity of the cooking appliance, determining a set of cooking instructions associated with the food, the cooking instructions including a different model for each heating element subset, dynamically determining control instructions for each heating element subset based on the respective model, and controlling each heating element subset based on the respective control instructions.