Ambient-Compensated Temperature Abnormality Detection for Control Boards
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Solution Overview
Problem
Conventional temperature abnormality detection systems fail to accurately detect temperature abnormalities in target devices installed on control boards, particularly in winter environments, as the temperature increase may not exceed the set threshold value, leading to undetected anomalies.
Innovation Solution
A temperature abnormality detection system comprising a first temperature sensor to measure the target device's temperature and a second temperature sensor to measure ambient air temperature, with an abnormality determination unit calculating the temperature difference and determining an abnormality when the difference exceeds a predetermined threshold, thereby accounting for environmental temperature variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed temperature threshold is set for abnormality detection, then false alarms in summer are reduced, but detection accuracy in winter deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed temperature threshold to a dynamic threshold that automatically adjusts based on ambient temperature. The abnormality determination unit calculates the threshold as Ta + ΔT, where Ta is the ambient temperature and ΔT is a predetermined temperature difference. This allows the system to adapt to seasonal changes while maintaining consistent detection accuracy across different environments.
Solution Approach 2:
The patent changes the parameter used for threshold determination from an absolute temperature value to a relative temperature difference. Instead of comparing device temperature against a fixed value, the system compares the temperature difference between the device and ambient air against a predetermined threshold, making the detection criterion independent of environmental temperature conditions.
2Measurement precision
If ambient temperature compensation is implemented, then detection accuracy across seasons is improved, but system complexity increases
Solution Approach 1:
The patent introduces ambient temperature as an intermediary parameter to compensate for environmental effects. By measuring ambient temperature with a second temperature sensor and using it as a reference, the system can accurately determine whether a device temperature increase represents a true abnormality or merely reflects environmental conditions. This intermediary approach improves precision without requiring complex algorithms.
Solution Approach 2:
The patent segments the temperature measurement function into two independent parts: a first temperature sensor for measuring device temperature and a second temperature sensor for measuring ambient temperature. This segmentation allows each sensor to be optimized for its specific measurement task and simplifies the overall calculation logic by separating the measurement responsibilities.
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 system accurately detects temperature abnormalities in target devices regardless of the environmental temperature, preventing potential fires by effectively distinguishing between normal and abnormal temperature increases, even in winter conditions.
Implementation Method 1
a first temperature sensor that measures a first temperature indicated by the target device
Implementation Method 2
a second temperature sensor that measures a second temperature indicated by ambient air around the target device
Data Source
AI summary
A temperature abnormality detection system of the present invention includes a first temperature sensor that measures a first temperature indicated by a target device and a second temperature sensor that measures a second temperature indicated by ambient air around the target device. A temperature difference between the first temperature and the second temperature is calculated, and when this temperature difference becomes a predetermined threshold value or more, it is determined that a temperature abnormality of the target device has occurred.