Immersion Cooling Sensor Verification Logic
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Solution Overview
Problem
Immersion cooling systems face issues where sensors may incorrectly detect abnormal conditions, leading to unnecessary shutdowns of servers, causing data loss due to the lack of differentiation between normal and abnormal sensor operations.
Innovation Solution
The method involves using multiple sensors to compare sensor values and determine normal or abnormal operation by calculating difference values and applying threshold values, allowing for accurate identification of sensor conditions and preventing false activations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single sensor is used to detect temperature and trigger shutdown actions when threshold is exceeded, then the system responds quickly to abnormal conditions, but false shutdowns occur when the sensor is in abnormal operation
Solution Approach 1:
Different sensors are assigned different roles: first and second sensors monitor temperature for shutdown decisions, while third sensors specifically monitor for abnormal operation conditions. This local differentiation allows the system to distinguish between genuine temperature abnormalities and sensor failures, preventing false shutdowns while maintaining rapid response to real issues.
Solution Approach 2:
Third sensors act as intermediaries that detect abnormal operation states of the first and second sensors. When a third sensor indicates abnormal operation, it mediates the shutdown decision by preventing actions based on potentially false readings from the first and second sensors, thus avoiding false shutdowns while preserving the ability to respond to genuine temperature problems.
2Reliability
If multiple sensors are added to verify sensor operation, then false shutdowns are prevented, but the device complexity increases
Solution Approach 1:
The sensor system is segmented into functional groups: first and second sensors for temperature monitoring, and third sensors for abnormal operation detection. This segmentation allows each sensor type to have a specific function, making the increased complexity manageable and the verification logic clearer. The segmented approach enables targeted verification without requiring complete system redesign.
Solution Approach 2:
The third sensors serve multiple functions: they detect abnormal operation conditions, verify the reliability of first and second sensors, and prevent false shutdowns. This multi-functionality justifies the added complexity by providing comprehensive verification capability through a single additional sensor type that performs several critical verification tasks.
Data Source
AI summary
The disclosure is related to a method for verifying an immersion cooling system. The immersion cooling system includes a first sensor, a second sensor and at least one third sensor. The method includes: obtaining a first difference value; determining whether the first difference value is smaller than a first threshold value; determining that the first sensor and the second sensor are in normal operation when the first difference value is smaller than the first threshold value; when the first difference value is not smaller than the first threshold value, determining an operating condition of the first sensor or the second sensor according to a relationship between a sensor value of the at least one third sensor and the sensor value of the first sensor, or a relationship between the sensor value of the at least one third sensor and the sensor value of the second sensor.