Temperature Probe Identification for Accurate Cooking Estimates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional cooking systems require manual user selection of temperature probe types, leading to potential inaccuracies in temperature estimation due to variations in resistance measurements across different probe types and manufacturers.
Innovation Solution
The system automatically identifies the temperature probe type by analyzing the ground-signal conductor pattern, allowing the cooking system to select the correct temperature model for accurate signal interpretation and temperature estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual user selection of temperature probe type is used, then device complexity is reduced, but measurement precision deteriorates due to variations in resistance measurements across different probe types
Solution Approach 1:
The temperature probe identification system automatically detects and identifies the connected probe type without requiring manual user input. The system analyzes electrical characteristics (resistance values, conductor patterns) from the probe itself to determine probe type, manufacturer, and calibration parameters, allowing the probe to effectively identify itself to the cooking system.
Solution Approach 2:
The system measures electrical signals from the temperature probe and uses this feedback to identify the probe type and select appropriate calibration parameters. By continuously analyzing the electrical characteristics returned from the probe during connection, the system can determine the correct temperature estimation model to use.
2Measurement precision
If automatic probe type identification is implemented, then measurement precision improves, but ease of operation deteriorates due to additional system complexity
Solution Approach 1:
The temperature probe identification system automatically detects and identifies the connected probe type without requiring manual user input. The system analyzes electrical characteristics (resistance values, conductor patterns) from the probe itself to determine probe type, manufacturer, and calibration parameters, allowing the probe to effectively identify itself to the cooking system.
3Adaptability or versatility
If multiple temperature probe types are supported, then adaptability improves, but reliability deteriorates due to potential for incorrect probe type selection
Solution Approach 1:
The system measures electrical signals from the temperature probe and uses this feedback to identify the probe type and select appropriate calibration parameters. By continuously analyzing the electrical characteristics returned from the probe during connection, the system can determine the correct temperature estimation model to use.
Solution Approach 2:
The system uses electrical characteristics (resistance values, conductor patterns) as an intermediary to indirectly identify the probe type. Instead of directly querying the probe for its identity, the system analyzes the electrical properties that naturally differ between probe types and manufacturers, using these properties as a mediator to determine the correct identification and calibration parameters.
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 solution enables more accurate temperature estimates in cooking systems by automatically identifying the temperature probe type and selecting the appropriate model, thereby improving user experience and reducing errors.
Implementation Method 1
variations in resistance measurements across different probe types and manufacturers
Data Source
AI summary
In variants, an automatically-identifiable temperature probe can include: a probe body, one or more sensors, a connector, and/or any other suitable components. In variants, the method for temperature determination can include: determining a set of electrical signals, determining a temperature probe type based on the set of electrical signals, determining a sensor resolution model based on the temperature probe type, and determining a set of final temperature estimates based on the set of electrical signals and the sensor resolution model.


