Heat Dissipation Abnormality Detection Using Temperature Difference
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Solution Overview
Problem
Existing thermal abnormality detection systems for heat dissipation systems are costly and complex, as they require additional temperature sensors and feedback circuits to detect abnormalities under varying load and temperature conditions, especially failing to identify issues in low-temperature or high-load states.
Innovation Solution
A thermal abnormality detection system using two temperature sensors and calculation formulas to determine heat dissipation system abnormalities by calculating upper limit temperatures and comparing actual temperatures with error threshold values, eliminating the need for additional sensors and feedback circuits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional temperature sensors and feedback circuits are added to detect thermal abnormalities under varying load conditions, then measurement precision is improved, but device complexity increases and costs increase
Solution Approach 1:
The system uses the existing temperature sensors designed for normal operation monitoring to simultaneously detect thermal abnormalities. By analyzing temperature differences between heat dissipation systems under varying load conditions, the system makes the existing components serve dual purposes without requiring additional sensors or feedback circuits.
Solution Approach 2:
The detection method changes from monitoring absolute temperature values to monitoring temperature difference parameters between systems. This parameter transformation allows the system to detect thermal abnormalities using existing sensor data without adding new measurement devices, thereby maintaining measurement precision while reducing system complexity.
2Measurement precision
If additional temperature sensors are added at ambient temperature location to sense reference temperature, then thermal abnormality detection under low-temperature state is improved, but device complexity increases and costs increase
Solution Approach 1:
The temperature sensors originally designed for monitoring heat dissipation systems are made multi-functional by using them to detect both normal operating temperatures and thermal abnormalities. The system universally applies these sensors across different operating conditions (varying loads, low-temperature states) without requiring dedicated sensors for each condition.
Solution Approach 2:
Instead of adding physical sensors at ambient temperature locations, the system creates a virtual reference by comparing temperature readings from existing sensors across different heat dissipation systems. This copying approach uses data from existing components to simulate the function of additional sensors without the physical overhead.
3Reliability
If heat-dissipating components with feedback signal function are used, then reliability is improved, but device complexity increases and costs increase
Solution Approach 1:
The system implements feedback by continuously monitoring temperature differences between heat dissipation systems and comparing them against expected temperature differential ranges. This feedback mechanism provides reliable thermal abnormality detection using simple temperature comparisons rather than complex feedback signal circuits, maintaining reliability while reducing complexity.
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 simplifies the configuration, reduces costs, and effectively detects thermal abnormalities in heat dissipation systems without redundant sensors or feedback circuits, enabling real-time monitoring and efficient system protection.
Implementation Method 1
temperature sensors are set on each of the two systems to detect actual temperatures of each of the two heat dissipation systems
Data Source
AI summary
A thermal abnormality detection system includes: a first heat dissipation system having a first temperature sensor for measuring an actual temperature of the first heat dissipation system; a second heat dissipation system having a second temperature sensor for measuring an actual temperature of the second heat dissipation system. Assuming that a difference between the actual temperature of the first heat dissipation system and an upper limit temperature of the first heat dissipation system is d1, and a difference between the actual temperature of the second heat dissipation system and an upper limit temperature of the second heat dissipation system is d2, when a value of d1−d2 is greater than an error threshold value Error1_level, the first heat dissipation system is determined to be abnormal, and when the value of d1−d2 is less than an error threshold value Error2_level, the second heat dissipation system is determined to be abnormal.