Temperature Probe Identification for Accurate Cooking Measurements
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Solution Overview
Problem
Existing cooking systems require manual user input to identify the type of temperature probe, leading to inaccuracies in temperature estimation due to varying resistance measurements across different probe types and manufacturers.
Innovation Solution
A system and method that 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 measurement interpretation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual user input is required to identify temperature probe type, then device complexity is reduced, but measurement precision deteriorates due to varying resistance measurements across different probe types
Solution Approach 1:
The system automatically identifies the temperature probe type by analyzing the ground-signal conductor pattern without requiring manual user input. The cooking system autonomously determines the probe type and selects the appropriate temperature model, eliminating the need for user intervention while improving measurement accuracy.
Solution Approach 2:
The system changes the identification parameter from manual user selection to automatic electrical signal analysis. By analyzing the ground-signal conductor pattern and resistance measurements, the system dynamically determines the probe type and adjusts the temperature estimation model accordingly, improving precision without increasing complexity.
2Measurement precision
If automatic probe type identification is implemented, then measurement precision improves, but device complexity increases due to additional identification mechanisms
Solution Approach 1:
The existing electrical connection infrastructure serves dual purposes: both power transmission and probe type identification. The ground-signal conductor pattern analysis utilizes the same electrical pathways already present in the system, avoiding additional hardware while improving measurement accuracy through intelligent signal interpretation.
Solution Approach 2:
The system replaces manual mechanical identification (user selecting probe type) with automatic electrical signal analysis. By substituting the mechanical/user-based identification method with electronic analysis of conductor patterns, the system improves precision without adding physical complexity.
3Ease of operation
If manual probe type selection is required, then ease of operation deteriorates, but manufacturing precision requirements are reduced
Solution Approach 1:
The system performs self-identification of the temperature probe type by automatically analyzing the electrical conductor pattern, eliminating the need for manual user selection. This improves ease of operation while the manufacturing precision requirements remain focused on maintaining consistent conductor patterns for reliable automatic identification.
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.