Flow Rate Abnormality Detection in Cooling Systems
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Solution Overview
Problem
Existing cooling systems lack a stable method for detecting flow rate abnormalities, which is crucial for maintaining efficient operation and preventing damage.
Innovation Solution
A flow rate abnormality detection device and method that determines the number of devices to be cooled and sets a threshold value based on this number, using a flow rate sensor and reference signal generation circuit to compare the actual flow rate with the threshold, triggering an abnormality determination when the flow rate is below the set value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a flow rate abnormality detection device is implemented in a cooling system, then the reliability of the cooling system is improved, but the device complexity increases
Solution Approach 1:
The detection device is segmented into three functional units: a number determination unit that counts devices to be cooled, a threshold value setting unit that establishes the reference threshold based on the counted number, and an abnormality determination unit that compares actual flow rate against the threshold. This segmentation modularizes the complex detection function into manageable, independent components, improving reliability while controlling complexity.
Solution Approach 2:
The threshold value is predetermined and set in advance based on the number of devices to be cooled, before actual cooling operation begins. This preliminary action allows the system to have a ready reference standard for abnormality detection, improving response reliability without requiring complex real-time calculations, thus balancing reliability improvement with device complexity management.
2Measurement precision
If the threshold value is set based on the number of devices to be cooled, then the measurement precision of flow rate abnormality detection is improved, but the device complexity increases
Solution Approach 1:
The threshold value setting unit receives feedback information about the number of devices to be cooled and automatically adjusts the threshold value accordingly. This feedback mechanism ensures the threshold accurately reflects the actual cooling load, improving measurement precision for flow rate abnormality detection while automating the threshold setting process to avoid manual complexity.
Solution Approach 2:
The system performs self-configuration by automatically setting the threshold value based on the detected number of cooling devices. The detection device serves itself by internally establishing the reference threshold without external intervention, improving detection precision while minimizing operational complexity for users.
Data Source
AI summary
A flow rate abnormality detection device includes: a number determination unit that determines a number of devices to be cooled; a threshold value setting unit that sets a threshold value based on the number of devices to be cooled; and an abnormality determination unit that determines that there is an abnormality when a total flow rate of refrigerant supplied to the devices to be cooled is less than the threshold value.