Leak Detection Circuit With Sensing Line Self-Check for Liquid-Cooled Servers
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Solution Overview
Problem
Current liquid-cooling heat dissipation systems in servers face challenges with manual detection accuracy of liquid leakage sensing lines, leading to potential damage and short circuits due to damage or fall-off of these lines during production, transportation, or repair, which are not detected accurately.
Innovation Solution
A liquid leakage detection circuit and system that includes a sensing line anomaly detection trigger sub-circuit and a liquid leakage detection sub-circuit, utilizing a complex programmable logic device to generate simulation signals for anomaly detection, and a comparator circuit to determine liquid leakage conditions based on input voltage changes, improving automated detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual detection methods are used to check liquid leakage sensing lines during production, transportation, or repair, then the detection process is simple to implement, but the detection accuracy is low and anomalies such as damage or fall-off cannot be reliably identified
Solution Approach 1:
The system performs preliminary anomaly detection on the sensing line before actual liquid leakage detection by generating simulation signals to activate the sensing line and verify its integrity. This preliminary check ensures the sensing line is functional before relying on it for real leakage detection, thereby improving overall detection accuracy without requiring complex external testing equipment.
Solution Approach 2:
The liquid leakage detection system performs self-verification by using its own signal generation and detection capabilities to check the integrity of its own sensing line. The CPLD generates simulation leakage signals that traverse the sensing line, and the system's own detection circuitry evaluates whether the sensing line properly detects these signals, enabling autonomous health monitoring without external intervention.
2Reliability
If the liquid leakage sensing line is not properly checked for anomalies, then the system operation is simple, but liquid leakage cannot be accurately detected leading to server damage and short circuits
Solution Approach 1:
The system implements feedback by monitoring the response of the sensing line to generated simulation signals and using this information to determine whether the sensing line is functional. The detection circuit receives feedback from the sensing line's response to simulation leakage signals, and this feedback is used to assess the sensing line's integrity before enabling actual liquid leakage detection, thereby improving reliability through automated verification.
Solution Approach 2:
The system performs preliminary anomaly detection on the sensing line before actual liquid leakage detection by generating simulation signals to activate the sensing line and verify its integrity. This preliminary check ensures the sensing line is functional before relying on it for real leakage detection, thereby improving overall detection accuracy without requiring complex external testing equipment.
3Measurement precision
If simulation signals are generated to perform anomaly detection on the sensing line, then the detection accuracy is improved, but the system complexity and power consumption increase
Solution Approach 1:
The system uses periodic action by generating simulation leakage signals at specific intervals rather than continuously. The CPLD is configured to generate these test signals periodically to verify sensing line integrity, and the system can be set to perform anomaly detection at predetermined times or under specific conditions, reducing unnecessary power consumption while maintaining detection accuracy when needed.
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
The system accurately detects anomalies in liquid leakage sensing lines, preventing damage to servers by automatically identifying and addressing conditions such as damage or fall-off, enhancing the stability and safety of liquid-cooled servers.
Implementation Method 1
two ends of the liquid leakage sensing line are connected to a liquid leakage detection circuit on a main board of the liquid-cooled server to form a loop, so as to achieve liquid leakage detection
Data Source
AI summary
A liquid leakage detection circuit, comprising a sensing line anomaly detection trigger sub-circuit and a liquid leakage detection sub-circuit; are connected by a liquid leakage sensing line, wherein the sensing line anomaly detection trigger sub-circuit is configured to be conducted according to a liquid leakage simulation signal generated by a complex programmable logic device, so as to perform anomaly detection on the liquid leakage sensing line by the liquid leakage detection sub-circuit; and the liquid leakage detection sub-circuit is configured to perform anomaly detection on the liquid leakage sensing line according to a change condition of an input voltage when it is determined that the sensing line anomaly detection trigger sub-circuit is conducted, and to perform liquid leakage detection after it is determined that the liquid leakage sensing line has no anomaly condition.