Methods, apparatus, equipment and systems for testing liquid cooling components

Abstract

This application relates to a method, apparatus, device, and system for testing liquid-cooled components. The method includes: during a test, controlling the flow of coolant at a set temperature into the liquid-cooled component to simulate temperature change conditions, and collecting dynamic temperature data for a predetermined target area of ​​the liquid-cooled component to obtain a set of temperature data for the target area under temperature change conditions; based on multiple tests simulating the same temperature change conditions, obtaining multiple sets of temperature data for the target area under the same temperature change conditions; and based on the multiple sets of temperature data for the target area, determining the consistency of the temperature response characteristics of the liquid-cooled component to obtain a detection result indicating whether the liquid-cooled component is abnormal. This achieves rapid detection of liquid-cooled components while improving the reliability of the detection.

Description

Technical Field

[0001] This application relates to the field of liquid cooling component testing technology, and in particular to a method, apparatus, equipment and system for testing liquid cooling components. Background Technology

[0002] With the continuous improvement of high-performance computing servers, liquid cooling components, as core heat dissipation units, significantly impact the stability and lifespan of the equipment due to their sealing and heat transfer efficiency. During operation, abnormalities such as flow channel blockage and liquid leakage may occur in liquid cooling components. Failure to detect these issues promptly can lead to decreased heat dissipation performance, overheating, or even malfunction. Therefore, rapid inspection of liquid cooling components is crucial. Summary of the Invention

[0003] Therefore, it is necessary to provide a method, apparatus, equipment, and system for testing liquid cooling components to address the aforementioned technical problems.

[0004] In a first aspect, this application provides a method for detecting liquid cooling components, applied to a leakage testing system for liquid cooling components. The method includes: during a test, controlling the flow of coolant at a set temperature into the liquid cooling component to simulate temperature change conditions, and collecting dynamic temperature data for a predetermined target area of ​​the liquid cooling component to obtain a set of temperature data for the target area under the temperature change conditions; based on multiple tests simulating the same temperature change conditions, obtaining multiple sets of temperature data for the target area under the same temperature change conditions; and based on the multiple sets of temperature data for the target area, determining the consistency of the temperature response characteristics of the liquid cooling component to obtain a detection result indicating whether the liquid cooling component is abnormal.

[0005] In an optional implementation, the system includes an industrial control computer, an infrared thermal imaging camera, and a dynamic liquid distribution device. The industrial control computer is connected to the infrared thermal imaging camera and the dynamic liquid cooling distribution device, which is connected to the liquid cooling assembly via a pipeline. The system controls the flow of coolant at a set temperature into the liquid cooling assembly to simulate temperature change conditions and collects dynamic temperature data for a predetermined target area of ​​the liquid cooling assembly to obtain a set of temperature data for the target area under the temperature change conditions. This includes: controlling the dynamic liquid cooling distribution device to flow coolant at a set first temperature into the liquid cooling assembly; and, when the liquid cooling assembly reaches a thermally stable state, controlling the dynamic liquid cooling distribution device to flow coolant at a set second temperature into the liquid cooling assembly to simulate a heating condition, and collecting dynamic temperature data for the target area using the infrared thermal imaging camera to obtain a set of temperature data for the target area under the heating condition; wherein the first temperature is lower than the second temperature.

[0006] In an optional implementation, the system includes an industrial control computer, an infrared thermal imaging camera, and a dynamic liquid distribution device. The industrial control computer is connected to the infrared thermal imaging camera and the dynamic liquid cooling distribution device, which is connected to the liquid cooling assembly via a pipeline. The system controls the flow of coolant at a set temperature into the liquid cooling assembly to simulate temperature change conditions and collects the dynamic temperature of a predetermined target area of ​​the liquid cooling assembly to obtain a set of temperature data for the target area under the temperature change conditions. This includes: controlling the dynamic liquid cooling distribution device to flow coolant at a set second temperature into the liquid cooling assembly; and, when the liquid cooling assembly reaches a thermally stable state, controlling the dynamic liquid cooling distribution device to flow coolant at a set first temperature into the liquid cooling assembly to simulate cooling conditions, and collecting the dynamic temperature of the target area through the infrared thermal imaging camera to obtain a set of temperature data for the target area under the cooling conditions; wherein the first temperature is lower than the second temperature.

[0007] In an optional implementation, determining the consistency of the temperature response characteristics of the liquid cooling component based on multiple sets of temperature data from the target area to obtain a detection result indicating whether the liquid cooling component is abnormal includes: for each set of temperature data from the target area, generating a temperature response curve corresponding to the set of temperature data based on multiple temperature values ​​in the set of temperature data and the acquisition time point of each temperature value; and determining the consistency of the temperature response characteristics of the liquid cooling component based on the multiple temperature response curves from the target area to obtain a detection result indicating whether the liquid cooling component is abnormal.

[0008] In an optional implementation, generating a temperature response curve corresponding to the set of temperature data based on multiple temperature values ​​and the acquisition time point of each temperature value includes: generating a thermal response curve based on multiple temperature values ​​and the acquisition time point of each temperature value, and using this thermal response curve as the temperature response curve corresponding to the temperature data, wherein the thermal response curve is used to represent the change of temperature value over time; or, generating a thermal response rate curve based on multiple temperature values ​​and the acquisition time point of each temperature value, and using this thermal response rate curve as the temperature response curve corresponding to the temperature data, wherein the thermal response rate curve is used to represent the change of temperature change rate over time.

[0009] In an optional implementation, determining the consistency of the temperature response characteristics of the liquid cooling component based on multiple sets of temperature data in the target area to obtain a detection result indicating whether the liquid cooling component is abnormal includes: for each set of temperature data in the target area, determining the temperature characteristic parameters corresponding to the set of temperature data based on multiple temperature values ​​in the set of temperature data; and determining the consistency of the temperature response characteristics of the liquid cooling component based on the multiple temperature characteristic parameters of the target area to obtain a detection result indicating whether the liquid cooling component is abnormal.

[0010] Secondly, this application also provides a detection device for liquid cooling components, applied to a leakage testing system for liquid cooling components. The device includes: a data acquisition module, used to control the introduction of coolant at a set temperature into the liquid cooling component during a single test to simulate temperature change conditions, and to acquire the dynamic temperature of a predetermined target area of ​​the liquid cooling component to obtain a set of temperature data for the target area under the temperature change conditions; based on multiple tests simulating the same temperature change conditions, to obtain multiple sets of temperature data for the target area under the same temperature change conditions; and a detection module, used to determine the consistency of the temperature response characteristics of the liquid cooling component based on the multiple sets of temperature data for the target area, and to obtain a detection result indicating whether the liquid cooling component is abnormal.

[0011] Thirdly, this application provides a computer device including a processor and a memory, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the steps of the method described in any of the foregoing embodiments.

[0012] Fourthly, this application provides a system including an industrial control computer, an infrared thermal imaging camera, and a dynamic liquid cooling distribution device. The industrial control computer is connected to the infrared thermal imaging camera and the dynamic liquid cooling distribution device, which is connected to a liquid cooling component via pipelines. The dynamic liquid cooling distribution device is used to introduce coolant at a set temperature into the liquid cooling component to simulate temperature change conditions. The infrared thermal imaging camera is used to collect the dynamic temperature of a predetermined target area of ​​the liquid cooling component and transmit the temperature data of the target area under the temperature change conditions to the industrial control computer. The industrial control computer is used to obtain multiple sets of temperature data of the target area under the same temperature change conditions based on multiple tests simulating the same temperature change conditions, and based on the multiple sets of temperature data of the target area, determine the consistency of the temperature response characteristics of the liquid cooling component and obtain a detection result indicating whether the liquid cooling component is abnormal.

[0013] Fifthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in any of the foregoing embodiments.

[0014] Sixthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the method described in any of the foregoing embodiments.

[0015] The liquid cooling component detection method, apparatus, equipment, and system provided in this application simulate the same temperature change conditions through multiple tests. Based on multiple sets of temperature data for the target area under the same temperature change conditions, the consistency of the temperature response characteristics of the liquid cooling component is determined to determine whether the liquid cooling component is abnormal. This achieves rapid detection of the liquid cooling component and improves the reliability of the detection. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A schematic diagram of the system provided in an embodiment of this application is shown;

[0018] Figure 2 An example diagram of the system provided in the embodiments of this application is shown;

[0019] Figure 3 A schematic flowchart of the detection method for liquid cooling components provided in an embodiment of this application is shown;

[0020] Figure 4 One example diagram of the target area provided in the embodiments of this application is shown;

[0021] Figure 5 This is a second example diagram of the target area provided in an embodiment of this application;

[0022] Figure 6 This paper shows an example diagram of the temperature distribution on the surface region of a liquid cooling component provided in an embodiment of this application;

[0023] Figure 7 A functional block diagram of the detection device for liquid cooling components provided in an embodiment of this application is shown;

[0024] Figure 8 A schematic diagram of the internal structure of a computer device provided in an embodiment of this application is shown. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0026] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0027] With the continuous improvement of high-performance computing servers, liquid cooling components, as core heat dissipation units, significantly impact the stability and lifespan of equipment operation due to their sealing and heat transfer efficiency. During operation, liquid cooling components may experience abnormalities such as channel blockage and liquid leakage. Failure to detect these issues promptly can lead to decreased heat dissipation performance, overheating, and even malfunction. Currently, existing technologies for testing liquid cooling components primarily employ the following methods: Gas tightness testing assesses the sealing performance of the liquid cooling component by detecting gas leaks; however, this method cannot simulate actual operating temperature changes, limiting its applicability. Flow rate testing detects changes in liquid flow rate to determine if channel blockage exists, but this method cannot detect leaks. Traditional infrared static temperature measurement collects static temperature data for detection; however, static temperature has a large error, making it difficult to meet the requirements of high-precision testing. Therefore, this application provides a method for testing liquid cooling components to address the aforementioned problems.

[0028] This application provides a method for testing liquid cooling components, which can be applied to... Figure 1 The system shown includes an industrial control computer, an infrared thermal imaging camera, and a dynamic liquid cooling distribution device. The industrial control computer is communicatively connected to both the infrared thermal imaging camera and the dynamic liquid cooling distribution device, which is connected to the liquid cooling assembly via piping. The industrial control computer can be a personal computer, laptop, or tablet. There can be one or multiple infrared thermal imaging cameras. For ease of understanding, this application also provides a system example diagram; please refer to [link / reference]. Figure 2 The system includes an industrial control computer, an infrared thermal imaging camera array, and a dynamic liquid cooling distribution device. The industrial control computer is a personal computer, the infrared thermal imaging camera array comprises multiple infrared thermal imaging cameras, and the industrial control computer communicates with each infrared thermal imaging camera. The industrial control computer communicates with the dynamic liquid cooling distribution device via Ethernet, and the dynamic liquid cooling distribution device is connected to the liquid cooling components via piping.

[0029] The following will be based on Figure 1 The industrial control computer shown serves as the execution entity, and this paper describes each step of the method provided in the embodiments of this application and its corresponding technical effects. Please refer to [link / reference]. Figure 3This is a flowchart illustrating the detection method for liquid cooling components provided in this application embodiment, including steps 210 to 230.

[0030] Step 210: During a test, coolant at a set temperature is introduced into the liquid cooling component to simulate temperature change conditions, and dynamic temperature of a predetermined target area of ​​the liquid cooling component is collected to obtain a set of temperature data for the target area under temperature change conditions.

[0031] It is understood that this application embodiment will conduct multiple tests on the liquid cooling component to simulate the same temperature change conditions, and the method of each test is similar. For brevity, the process of one test is described below. First, the industrial control computer controls the dynamic liquid cooling distribution device to introduce coolant at a set temperature into the liquid cooling component to simulate the temperature change conditions of the liquid cooling component in actual application. Then, the dynamic temperature of the target area in the liquid cooling component is collected in real time by an infrared thermal imaging camera, thus obtaining a set of temperature data of the target area under the temperature change conditions. Here, the target area refers to a pre-determined key area of ​​the liquid cooling component, and there can be one or more target areas. For example, the target area can be the welding point of the liquid inlet or outlet in the liquid cooling component, such as... Figure 4 As shown; the target area can also be the surface area of ​​the liquid cooling component, such as Figure 5 As shown.

[0032] Step 220: Based on multiple tests simulating the same temperature change conditions, obtain multiple sets of temperature data for the target area under the same temperature change conditions.

[0033] In this embodiment, similar to the above, multiple tests can be conducted to simulate the same temperature change conditions, thereby collecting multiple sets of temperature data for the target area under the same temperature change conditions. This can be understood as the test conditions set in this embodiment being identical and repeated multiple times, so that each test can independently collect a set of dynamic temperature data for the target area. That is, by simulating the same temperature change conditions through multiple tests, reliable data can be provided for subsequently determining the consistency of the temperature response characteristics of the liquid cooling components.

[0034] Step 230: Based on multiple sets of temperature data from the target area, determine the consistency of the temperature response characteristics of the liquid cooling components and obtain the detection results of whether the liquid cooling components are abnormal.

[0035] Under normal conditions, the thermal conductivity of a liquid cooling component is stable, meaning its temperature response characteristics exhibit high consistency under the same temperature change conditions. However, if the liquid cooling component experiences abnormalities such as channel blockage or liquid leakage, its temperature response characteristics will show significant differences under the same temperature change conditions, resulting in lower consistency. Therefore, this application utilizes this principle to determine the degree of consistency in the temperature response characteristics of the liquid cooling component based on multiple sets of temperature data from a target area under the same temperature change conditions, thereby identifying whether the liquid cooling component is abnormal.

[0036] As can be seen, the embodiments of this application simulate the same temperature change conditions through multiple tests, and determine the consistency of the temperature response characteristics of the liquid cooling components based on multiple sets of temperature data of the target area under the same temperature change conditions, so as to determine whether the liquid cooling components are abnormal. This achieves rapid detection of liquid cooling components and improves the reliability of the detection.

[0037] Optionally, this application provides three possible implementations of step 210. The first implementation of step 210 is described below, namely, step 210 includes steps 211 to 212.

[0038] Step 211: Control the dynamic liquid cooling distribution device to introduce coolant at a set first temperature into the liquid cooling assembly.

[0039] Step 212: When the liquid cooling component reaches a thermally stable state, control the dynamic liquid cooling distribution device to introduce coolant at a set second temperature into the liquid cooling component to simulate the heating condition, and collect the dynamic temperature of the target area through an infrared thermal imaging camera to obtain a set of temperature data of the target area under the heating condition; wherein, the first temperature is lower than the second temperature.

[0040] Understandably, the dynamic liquid cooling distribution device is used to regulate the temperature, flow rate, and pressure of the coolant output to the liquid cooling assembly. An infrared thermal imaging camera is used to non-contactly acquire the temperature distribution of target areas within the liquid cooling assembly, such as... Figure 6 The figure shown is an example of the temperature distribution on the surface of a liquid cooling component.

[0041] In this embodiment, the industrial control computer first controls the dynamic liquid cooling distribution device to supply coolant at a first temperature to the liquid cooling assembly. For example, the industrial control computer sends a temperature setting command to the dynamic liquid cooling distribution device, causing the device to output coolant at the first temperature, which flows into the liquid cooling assembly through pipes.

[0042] Then, when the liquid cooling component reaches a thermally stable state, for example, after the coolant at the first temperature has been introduced for a set time, the overall temperature of the liquid cooling component tends to the equilibrium state corresponding to the first temperature. Then, the liquid cooling component is considered to have reached a thermally stable state. Then, the temperature of the coolant is quickly switched by the dynamic liquid cooling distribution device, so that the coolant temperature changes rapidly from the first temperature to the second temperature to form a temperature shock.

[0043] Simultaneously, an infrared thermal imaging camera captures thermal images of the target area during the process from the coolant temperature changing from a first temperature to a second temperature until a preset acquisition time. Based on these thermal images, dynamic temperature data of the target area is obtained. Since the second temperature, such as T2, is higher than the first temperature, such as T1 (i.e., T2>T1), the coolant temperature rises from T1 to T2, thus simulating a sudden temperature increase in actual applications. Therefore, the obtained dynamic temperature data of the target area represents a set of temperature data for the target area under heating conditions, reflecting the temperature change of the target area over time during this heating process.

[0044] By repeating the same heating conditions through multiple tests, multiple sets of temperature data for the target area under the same heating conditions can be obtained. Based on these multiple sets of temperature data, the consistency of the temperature response characteristics of the liquid cooling components under the same heating conditions can be determined, thereby determining whether the liquid cooling components are abnormal.

[0045] The second implementation of step 210 is described below, which includes steps 213 to 214.

[0046] Step 213: Control the dynamic liquid cooling distribution device to introduce coolant at a set second temperature into the liquid cooling assembly.

[0047] Step 214: When the liquid cooling component reaches a thermally stable state, control the dynamic liquid cooling distribution device to introduce coolant at a set first temperature into the liquid cooling component to simulate the cooling condition, and collect the dynamic temperature of the target area through an infrared thermal imaging camera to obtain a set of temperature data of the target area under the cooling condition; wherein, the first temperature is lower than the second temperature.

[0048] In this embodiment, the industrial control computer first controls the dynamic liquid cooling distribution device to supply coolant at a second temperature to the liquid cooling assembly. For example, the industrial control computer sends a temperature setting command to the dynamic liquid cooling distribution device, causing the device to output coolant at the second temperature, which flows into the liquid cooling assembly through pipelines.

[0049] Then, when the liquid cooling component reaches a thermally stable state, for example, after the coolant at the second temperature has been introduced for a set time, the overall temperature of the liquid cooling component tends to the equilibrium state corresponding to the second temperature. Then, the liquid cooling component is considered to have reached a thermally stable state. Then, the temperature of the coolant is quickly switched by the dynamic liquid cooling distribution device, so that the coolant temperature changes rapidly from the second temperature to the first temperature to form a temperature shock.

[0050] Simultaneously, an infrared thermal imaging camera captures thermal images of the target area during the process from the coolant temperature changing from a second temperature to a first temperature until a preset acquisition time. Based on these thermal images, dynamic temperature data of the target area is obtained. Since the second temperature, such as T2, is higher than the first temperature, such as T1 (i.e., T2>T1), the coolant temperature decreases from T2 to T1, thus simulating a sudden temperature drop in actual applications. Therefore, the obtained dynamic temperature data of the target area represents a set of temperature data for the target area under cooling conditions, reflecting the temperature change of the target area over time during cooling.

[0051] By repeating the same cooling conditions through multiple tests, similar to the above method, multiple sets of temperature data for the target area under the same cooling conditions can be obtained. Based on these multiple sets of temperature data, the consistency of the temperature response characteristics of the liquid cooling components under the same cooling conditions can be determined, thereby determining whether the liquid cooling components are abnormal.

[0052] The third implementation of step 210 is described below, which includes steps 215 to 217.

[0053] Step 215: Control the dynamic liquid cooling distribution device to introduce coolant at a set first temperature into the liquid cooling assembly.

[0054] Step 216: When the liquid cooling component reaches a thermally stable state, control the dynamic liquid cooling distribution device to introduce coolant at a set second temperature into the liquid cooling component to simulate the first stage of complex working conditions.

[0055] Step 217: When the liquid cooling component reaches a thermally stable state, control the dynamic liquid cooling distribution device to introduce coolant at a first temperature into the liquid cooling component to simulate the second stage of complex working conditions, and collect the dynamic temperature of the target area through an infrared thermal imaging camera to obtain a set of temperature data of the target area in the first and second stages of complex working conditions; wherein, the first temperature is lower than the second temperature.

[0056] In this embodiment, the industrial control computer first controls the dynamic liquid cooling distribution device to introduce coolant at a first temperature into the liquid cooling assembly. For example, the industrial control computer sends a temperature setting command to the dynamic liquid cooling distribution device, causing the device to output coolant at the first temperature, which flows into the liquid cooling assembly through pipelines.

[0057] Then, when the liquid cooling component reaches a thermally stable state, for example, after the coolant at the first temperature has been introduced for a set time, the overall temperature of the liquid cooling component tends to the equilibrium state corresponding to the first temperature. Then, the liquid cooling component is considered to have reached a thermally stable state. Then, the temperature of the coolant is quickly switched by the dynamic liquid cooling distribution device, so that the coolant temperature changes rapidly from the first temperature to the second temperature to form a temperature shock.

[0058] Then, when the liquid cooling component reaches a thermally stable state, for example, after the coolant at the second temperature has been introduced for a set time, the overall temperature of the liquid cooling component tends to the equilibrium state corresponding to the second temperature. Then, the liquid cooling component is considered to have reached a thermally stable state. Then, the temperature of the coolant is quickly switched by the dynamic liquid cooling distribution device, so that the coolant temperature changes rapidly from the second temperature to the first temperature to form a temperature shock.

[0059] Simultaneously, an infrared thermal imaging camera is used to capture thermal images of the target area during the process of coolant temperature changing from a first temperature to a second temperature, and from the second temperature back to the first temperature for a preset acquisition time. Based on these thermal images, dynamic temperature data of the target area is obtained. Since the second temperature, such as T2, is higher than the first temperature, such as T1 (i.e., T2>T1), this test process includes both the first stage of coolant temperature rising from T1 to T2 and the second stage of coolant temperature falling from T2 to T1. This simulates the heating and cooling stages under complex operating conditions in real-world applications. Therefore, the obtained set of temperature data for the target area includes temperature data from both the heating and cooling stages.

[0060] By repeating the same complex operating conditions through multiple tests, multiple sets of temperature data for the target area under the same complex operating conditions can be obtained. Based on these multiple sets of temperature data, the consistency of the temperature response characteristics of the liquid cooling components under the same complex operating conditions can be determined, thereby determining whether the liquid cooling components are abnormal.

[0061] Understandably, including both heating and cooling phases in a single test not only improves testing efficiency but also allows for the detection of the temperature response characteristics of liquid cooling components after undergoing a complete thermal cycle. This enables a more comprehensive evaluation of the thermal conductivity of liquid cooling components in practical applications when faced with alternating temperature changes.

[0062] Optionally, for step 230 above, this application embodiment provides a possible implementation, that is, step 230 includes steps 231 to 232.

[0063] Step 231: For each set of temperature data in the target area, generate a temperature response curve corresponding to the set of temperature data based on multiple temperature values ​​in the set of temperature data and the acquisition time point of each temperature value.

[0064] Step 232: Based on multiple temperature response curves of the target area, determine the consistency of the temperature response characteristics of the liquid cooling components and obtain the detection results of whether the liquid cooling components are abnormal.

[0065] It is understandable that there are three types of temperature change conditions based on the above simulation. The detection methods corresponding to each temperature change condition will be introduced below.

[0066] When the temperature change condition is a heating-up condition, the multiple sets of temperature data collected represent the target area's temperature data under this condition, with each set containing the same total number of temperature values ​​and the same time interval between data points. Based on each set of temperature data, a corresponding temperature response curve can be generated, resulting in multiple temperature response curves for the target area under the heating-up condition. Each temperature response curve reflects the temperature change over time in the target area during a single heating test. These multiple temperature response curves are then compared to determine the consistency of the liquid cooling component's temperature response characteristics. For example, the shape, trend, steepness of rise or fall, and speed of reaching a steady state can be compared among the multiple temperature response curves. If these multiple temperature response curves basically overlap or have highly similar trends, it indicates that the temperature response characteristics of the liquid cooling component have good consistency, i.e., a high degree of consistency, and the liquid cooling component is judged to be normal. If these multiple temperature response curves have significant differences, such as some curves deviating significantly from other curves at the same time point, or some curves having inconsistent rising or falling rates with other curves, it indicates that the temperature response characteristics of the liquid cooling component have poor consistency, i.e., a low degree of consistency, and the liquid cooling component is judged to be abnormal.

[0067] When the temperature change condition is a cooling condition, the collected temperature data sets represent multiple sets of temperature data for the target area under cooling conditions, with each set containing the same total number of temperature values ​​and the same time interval between data points. Based on each set of temperature data, a corresponding temperature response curve can be generated, resulting in multiple temperature response curves for the target area under cooling conditions. Each temperature response curve reflects the temperature change over time in the target area during a single cooling test. These multiple temperature response curves are then compared to determine the consistency of the liquid cooling component's temperature response characteristics. For example, the shape, trend, steepness of rise or fall, and speed of reaching a steady state can be compared among the multiple temperature response curves. If these multiple temperature response curves basically overlap or have highly similar trends, it indicates that the temperature response characteristics of the liquid cooling component have good consistency, i.e., a high degree of consistency, and the liquid cooling component is judged to be normal. If these multiple temperature response curves have significant differences, such as some curves deviating significantly from other curves at the same time point, or some curves having inconsistent rising or falling rates with other curves, it indicates that the temperature response characteristics of the liquid cooling component have poor consistency, i.e., a low degree of consistency, and the liquid cooling component is judged to be abnormal.

[0068] When the temperature change conditions are complex, the collected temperature data sets represent multiple sets of temperature data for the target area under complex conditions, with each set containing the same total number of temperature values ​​and the same time interval between data points. Based on each set of temperature data, a corresponding temperature response curve can be generated, resulting in multiple temperature response curves for the target area under complex conditions. Each temperature response curve reflects the temperature change over time during a complete heating and cooling test. These multiple temperature response curves are then compared to determine the consistency of the liquid cooling component's temperature response characteristics. For example, the shape, trend, steepness of rise or fall, and speed of reaching a steady state can be compared among the multiple temperature response curves. If these multiple temperature response curves basically overlap or have highly similar trends, it indicates that the temperature response characteristics of the liquid cooling component have good consistency, i.e., a high degree of consistency, and the liquid cooling component is judged to be normal. If these multiple temperature response curves have significant differences, such as some curves deviating significantly from other curves at the same time point, or some curves having inconsistent rising or falling rates with other curves, it indicates that the temperature response characteristics of the liquid cooling component have poor consistency, i.e., a low degree of consistency, and the liquid cooling component is judged to be abnormal.

[0069] Understandably, regardless of whether the liquid cooling component is normal or abnormal during the initial test, using multiple temperature response curves for testing can detect whether the liquid cooling component is abnormal.

[0070] For example, assuming the liquid cooling component is normal during the initial test, if it does not malfunction during multiple tests, its temperature response characteristics should be highly consistent across these tests, meaning the multiple temperature response curves obtained from the tests should be highly similar. However, if the liquid cooling component malfunctions during a test, such as due to a liquid leak, its thermal conductivity will decrease as the coolant is reduced, thus altering its heat transfer capacity. Consequently, the temperature response characteristics of the liquid cooling component will show significant differences across these tests, resulting in different temperature response curves.

[0071] Assuming the liquid cooling component is faulty during the initial test, such as due to a liquid leak, the continued leakage during multiple tests will cause the liquid cooling component to leak continuously. As the coolant decreases, its thermal conductivity will continuously decline, meaning the heat transfer capacity of the liquid cooling component will continuously change. Consequently, the temperature response characteristics of the liquid cooling component will show significant differences across these multiple tests, resulting in different temperature response curves obtained from multiple tests.

[0072] Optionally, for step 231 above, this application provides two possible implementation methods. The first implementation method of step 231 is described below, namely: based on multiple temperature values ​​in the set of temperature data and the acquisition time point of each temperature value, a thermal response curve is generated and used as the temperature response curve corresponding to the temperature data. The thermal response curve is used to represent the change of temperature value over time.

[0073] It is understood that the processing method for each set of temperature data in this application embodiment is similar. For the sake of brevity, the following description uses a set of temperature data as an example. First, based on multiple temperature values ​​and the acquisition time point of each temperature value in a set of temperature data, the acquisition time point can be directly used as the horizontal axis and the corresponding temperature value as the vertical axis to plot each data point in the set of temperature data in chronological order on the coordinate system. Then, based on these data points, a continuous curve is generated, thus obtaining the thermal response curve corresponding to the set of temperature data. This thermal response curve reflects the complete process of the temperature value of the target area changing over time.

[0074] The second implementation method of step 231 is described below. That is: based on multiple temperature values ​​in the set of temperature data and the acquisition time point of each temperature value, a thermal response rate curve is generated and used as the corresponding temperature response curve for the temperature data. The thermal response rate curve is used to represent the change of temperature change rate over time.

[0075] It is understood that the processing method for each set of temperature data in this application embodiment is similar. For the sake of brevity, the following description uses a set of temperature data as an example. First, based on multiple temperature values ​​in a set of temperature data and the acquisition time point of each temperature value, the ratio of the temperature difference to the time difference between two adjacent acquisition time points is calculated to obtain the temperature change rate corresponding to each time point. Then, with the time point as the abscissa and the corresponding temperature change rate as the ordinate, these multiple data points are plotted on a coordinate system. A continuous curve is then generated based on these data points to obtain the thermal response rate curve corresponding to the set of temperature data. It is understood that the thermal response rate curve is the first derivative curve of the thermal response curve with respect to time, which can highlight the severity of temperature change and the time when the peak temperature change rate occurs.

[0076] Optionally, for step 230, this application embodiment provides another possible implementation, namely, step 230 includes steps 233 to 234.

[0077] Step 233: For each set of temperature data in the target area, determine the temperature characteristic parameters corresponding to the set of temperature data based on the multiple temperature values ​​in the set of temperature data.

[0078] Step 234: Based on multiple temperature characteristic parameters of the target area, determine the consistency of the temperature response characteristics of the liquid cooling component, and obtain the detection result of whether the liquid cooling component is abnormal.

[0079] It is understandable that there are three types of temperature change conditions based on the above simulation. The detection methods corresponding to each temperature change condition will be introduced below.

[0080] When the temperature change condition is a heating-up condition, the multiple sets of temperature data collected represent the target area's temperature data under this condition, with each set containing the same total number of temperature values ​​and the same time interval between data points. Based on each set of temperature data, corresponding temperature characteristic parameters can be generated to obtain multiple temperature characteristic parameters for the target area under the heating-up condition. Each temperature characteristic parameter can contain multiple feature values, which can be statistical values ​​such as the average and variance of a set of temperature data, or the maximum, minimum, maximum, and minimum temperature change rates and times, etc. Subsequently, analysis is performed on these multiple temperature characteristic parameters for the target area under the heating-up condition to determine the consistency of the liquid cooling component's temperature response characteristics. For example, the degree of difference and fluctuation range of these multiple temperature characteristic parameters can be assessed. If the differences between these multiple temperature characteristic parameters are small and the fluctuation range is within the preset allowable range, it indicates that the temperature response characteristics of the liquid cooling component have good consistency, that is, a high degree of consistency, and the liquid cooling component is judged to be normal. If the differences between these multiple temperature characteristic parameters are large and the fluctuation range is not within the preset allowable range, it indicates that the temperature response characteristics of the liquid cooling component have poor consistency, that is, a low degree of consistency, and the liquid cooling component is judged to be abnormal.

[0081] When the temperature change condition is a cooling condition, the multiple sets of temperature data collected represent the target area's temperature data under cooling conditions, with each set containing the same total number of temperature values ​​and the same time interval between data points. Based on each set of temperature data, corresponding temperature characteristic parameters can be generated to obtain multiple temperature characteristic parameters of the target area under cooling conditions. Each temperature characteristic parameter can contain multiple feature values, which can be statistical values ​​such as the average and variance of a set of temperature data, or the maximum temperature value, minimum temperature value, maximum temperature change rate and time point, minimum temperature change rate and time point, etc. Subsequently, analysis is performed on these multiple temperature characteristic parameters of the target area under cooling conditions to determine the consistency of the liquid cooling component's temperature response characteristics. For example, the degree of difference and fluctuation range of these multiple temperature characteristic parameters can be assessed. If the differences between these multiple temperature characteristic parameters are small and the fluctuation range is within the preset allowable range, it indicates that the temperature response characteristics of the liquid cooling component have good consistency, that is, a high degree of consistency, and the liquid cooling component is judged to be normal. If the differences between these multiple temperature characteristic parameters are large and the fluctuation range is not within the preset allowable range, it indicates that the temperature response characteristics of the liquid cooling component have poor consistency, that is, a low degree of consistency, and the liquid cooling component is judged to be abnormal.

[0082] When operating under complex temperature variations, the collected temperature data sets represent multiple temperature data points for the target area under these complex conditions. Each set contains the same total number of temperature values ​​and the same time interval between data points. Therefore, corresponding temperature characteristic parameters can be generated based on each set of temperature data to obtain multiple temperature characteristic parameters for the target area under complex conditions. Each temperature characteristic parameter can contain multiple feature values, which can be statistical values ​​such as the average and variance of a set of temperature data, or the maximum, minimum, maximum, and minimum temperature change rates and times, etc. Subsequently, analysis is performed based on these multiple temperature characteristic parameters for the target area under complex conditions to determine the consistency of the temperature response characteristics of the liquid cooling components. For example, the degree of difference and fluctuation range of these multiple temperature characteristic parameters can be assessed. If the differences between these multiple temperature characteristic parameters are small and the fluctuation range is within the preset allowable range, it indicates that the temperature response characteristics of the liquid cooling component have good consistency, that is, a high degree of consistency, and the liquid cooling component is judged to be normal. If the differences between these multiple temperature characteristic parameters are large and the fluctuation range is not within the preset allowable range, it indicates that the temperature response characteristics of the liquid cooling component have poor consistency, that is, a low degree of consistency, and the liquid cooling component is judged to be abnormal.

[0083] It is understandable that, similar to the principle of using multiple temperature response curves for detection described above, regardless of whether the liquid cooling component is normal or abnormal during the first test, the detection method using multiple temperature characteristic parameters can detect whether the liquid cooling component is abnormal.

[0084] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0085] To perform the corresponding steps in the above embodiments and various possible methods, an implementation of a detection device for a liquid-cooled component is given below. Please refer to... Figure 7This is a functional block diagram of the liquid cooling component testing device 300 provided in this embodiment. It should be noted that the basic principle and technical effects of the liquid cooling component testing device 300 provided in this embodiment are the same as those in the above embodiments. For the sake of brevity, any parts not mentioned in this embodiment can be referred to the corresponding content in the above embodiments. The liquid cooling component testing device 300 includes:

[0086] The acquisition module 310 is used to control the flow of coolant at a set temperature into the liquid cooling component during a test to simulate temperature change conditions, and to acquire the dynamic temperature of a predetermined target area of ​​the liquid cooling component to obtain a set of temperature data of the target area under temperature change conditions; based on multiple tests simulating the same temperature change conditions, multiple sets of temperature data of the target area under the same temperature change conditions are obtained.

[0087] The detection module 320 is used to determine the consistency of the temperature response characteristics of the liquid cooling component based on multiple sets of temperature data of the target area, and to obtain the detection result of whether the liquid cooling component is abnormal.

[0088] Optionally, the acquisition module 310 is specifically used to: control the dynamic liquid cooling distribution device to introduce coolant at a set first temperature into the liquid cooling component; when the liquid cooling component reaches a thermally stable state, control the dynamic liquid cooling distribution device to introduce coolant at a set second temperature into the liquid cooling component to simulate a heating condition, and acquire the dynamic temperature of the target area through an infrared thermal imaging camera to obtain a set of temperature data of the target area under the heating condition; wherein, the first temperature is lower than the second temperature.

[0089] Optionally, the acquisition module 310 is specifically used to: control the dynamic liquid cooling distribution device to introduce coolant at a set second temperature into the liquid cooling component; when the liquid cooling component reaches a thermally stable state, control the dynamic liquid cooling distribution device to introduce coolant at a set first temperature into the liquid cooling component to simulate a cooling condition, and acquire the dynamic temperature of the target area through an infrared thermal imaging camera to obtain a set of temperature data of the target area under the cooling condition; wherein, the first temperature is lower than the second temperature.

[0090] Optionally, the detection module 320 is specifically used to: generate a temperature response curve corresponding to each set of temperature data for the target area, based on multiple temperature values ​​in the set of temperature data and the acquisition time point of each temperature value; and determine the consistency of the temperature response characteristics of the liquid cooling component based on multiple temperature response curves of the target area, thereby obtaining a detection result indicating whether the liquid cooling component is abnormal.

[0091] Optionally, the detection module 320 is specifically used to: generate a thermal response curve based on multiple temperature values ​​in the set of temperature data and the acquisition time point of each temperature value, and use the thermal response curve as the temperature response curve corresponding to the temperature data. The thermal response curve is used to represent the change of temperature value over time. Alternatively, it can generate a thermal response rate curve based on multiple temperature values ​​in the set of temperature data and the acquisition time point of each temperature value, and use the thermal response rate curve as the temperature response curve corresponding to the temperature data. The thermal response rate curve is used to represent the change of temperature change rate over time.

[0092] Optionally, the detection module 320 is specifically used to: for each set of temperature data in the target area, determine the temperature characteristic parameters corresponding to the set of temperature data based on multiple temperature values ​​in the set of temperature data; and based on the multiple temperature characteristic parameters of the target area, determine the consistency of the temperature response characteristics of the liquid cooling component, and obtain the detection result of whether the liquid cooling component is abnormal.

[0093] Each module in the aforementioned liquid cooling component detection device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0094] Please see Figure 8This is a schematic diagram of the internal structure of a computer device provided in an embodiment of this application. The industrial control computer described above can adopt the internal structure of this computer device. The computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor of this computer device provides computing and control capabilities. The memory of this computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The input / output interface of this computer device is used for exchanging information between the processor and external devices. The communication interface of this computer device is used for wired or wireless communication with external terminals. Wireless communication can be achieved through WIFI, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a method for detecting liquid-cooled components. The display unit of this computer device is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0095] Those skilled in the art will understand that Figure 8 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0096] This application also provides a system including an industrial control computer, an infrared thermal imaging camera, and a dynamic liquid cooling distribution device. The industrial control computer is connected to the infrared thermal imaging camera and the dynamic liquid cooling distribution device, and the dynamic liquid cooling distribution device is connected to the liquid cooling components through pipelines.

[0097] The dynamic liquid cooling distribution device is used to introduce coolant at a set temperature into the liquid cooling assembly to simulate temperature change conditions. An infrared thermal imaging camera is used to collect the dynamic temperature of a pre-determined target area of ​​the liquid cooling assembly and transmit the temperature data of the target area under temperature change conditions to an industrial control computer. The industrial control computer uses multiple tests simulating the same temperature change conditions to obtain multiple sets of temperature data for the target area under the same temperature change conditions. Based on these multiple sets of temperature data, it determines the consistency of the temperature response characteristics of the liquid cooling assembly and obtains a detection result indicating whether the liquid cooling assembly is abnormal.

[0098] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the detection method for liquid cooling components disclosed in this application.

[0099] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the liquid cooling component detection method disclosed in this application.

[0100] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0101] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0102] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for testing liquid-cooled components, characterized in that, A leakage testing system applied to liquid cooling components, the method comprising: During a test, coolant at a set temperature is supplied to the liquid cooling component to simulate temperature change conditions, and dynamic temperature of a predetermined target area of ​​the liquid cooling component is collected to obtain a set of temperature data for the target area under the temperature change conditions; the set temperature includes a set first temperature and a set second temperature, wherein the first temperature is lower than the second temperature. Based on multiple tests simulating the same temperature change conditions, multiple sets of temperature data for the target area under the same temperature change conditions were obtained. Based on multiple sets of temperature data of the target area, the consistency of the temperature response characteristics of the liquid cooling component is determined, and the detection result of whether the liquid cooling component is abnormal is obtained. The abnormality of the liquid cooling component includes flow channel blockage and liquid leakage. The method of determining the consistency of the temperature response characteristics of the liquid cooling component based on multiple sets of temperature data from the target area, and obtaining a detection result indicating whether the liquid cooling component is abnormal, includes: For each set of temperature data in the target area, a temperature response curve is generated based on multiple temperature values ​​in the set of temperature data and the acquisition time point of each temperature value. The temperature response curve is used to represent the change of temperature change rate over time. Based on multiple temperature response curves of the target area, the degree of consistency of the temperature response characteristics of the liquid cooling component is determined, and the detection result of whether the liquid cooling component is abnormal is obtained; wherein, the degree of consistency of the temperature response characteristics includes the degree of overlap of multiple temperature response curves.

2. The method according to claim 1, characterized in that, The system includes an industrial computer, an infrared thermal imaging camera, and a dynamic liquid cooling distribution device. The industrial computer is connected to the infrared thermal imaging camera and the dynamic liquid cooling distribution device, and the dynamic liquid cooling distribution device is connected to the liquid cooling assembly through pipelines. The system controls the flow of coolant at a set temperature into the liquid cooling assembly to simulate temperature variation conditions, and collects dynamic temperature data for a predetermined target area of ​​the liquid cooling assembly to obtain a set of temperature data for the target area under the temperature variation conditions, including: The dynamic liquid cooling distribution device is controlled to supply coolant at a set first temperature to the liquid cooling assembly; When the liquid cooling component reaches a thermally stable state, the dynamic liquid cooling distribution device is controlled to introduce coolant at a set second temperature into the liquid cooling component to simulate a heating condition, and the dynamic temperature of the target area is collected by the infrared thermal imaging camera to obtain a set of temperature data of the target area under the heating condition; wherein, the first temperature is lower than the second temperature.

3. The method according to claim 1, characterized in that, The system includes an industrial computer, an infrared thermal imaging camera, and a dynamic liquid cooling distribution device. The industrial computer is connected to the infrared thermal imaging camera and the dynamic liquid cooling distribution device, and the dynamic liquid cooling distribution device is connected to the liquid cooling assembly through pipelines. The system controls the flow of coolant at a set temperature into the liquid cooling assembly to simulate temperature variation conditions, and collects dynamic temperature data for a predetermined target area of ​​the liquid cooling assembly to obtain a set of temperature data for the target area under the temperature variation conditions, including: The dynamic liquid cooling distribution device is controlled to supply coolant at a set second temperature to the liquid cooling assembly; When the liquid cooling component reaches a thermally stable state, the dynamic liquid cooling distribution device is controlled to introduce coolant at a set first temperature into the liquid cooling component to simulate a cooling condition, and the dynamic temperature of the target area is collected by the infrared thermal imaging camera to obtain a set of temperature data of the target area under the cooling condition; wherein, the first temperature is lower than the second temperature.

4. The method according to claim 1, characterized in that, The step of generating a temperature response curve corresponding to the set of temperature data based on multiple temperature values ​​and the acquisition time point of each temperature value includes: Based on multiple temperature values ​​and the acquisition time point of each temperature value in the set of temperature data, a thermal response curve is generated and used as the temperature response curve corresponding to that temperature data. This thermal response curve is used to represent the change of temperature value over time, or... Based on multiple temperature values ​​in the set of temperature data and the acquisition time point of each temperature value, a thermal response rate curve is generated and used as the corresponding temperature response curve for the temperature data. The thermal response rate curve is used to represent the change of temperature change rate over time.

5. The method according to claim 1, characterized in that, The method of determining the consistency of the temperature response characteristics of the liquid cooling component based on multiple sets of temperature data from the target area, and obtaining a detection result indicating whether the liquid cooling component is abnormal, includes: For each set of temperature data in the target area, the temperature characteristic parameters corresponding to the set of temperature data are determined based on multiple temperature values ​​in the set of temperature data. Based on multiple temperature characteristic parameters of the target area, the consistency of the temperature response characteristics of the liquid cooling component is determined, and the detection result of whether the liquid cooling component is abnormal is obtained.

6. A testing device for a liquid cooling component, characterized in that, A leak testing system for liquid cooling components, the apparatus comprising: The data acquisition module is used to control the flow of coolant at a set temperature into the liquid cooling component during a single test to simulate temperature change conditions, and to acquire the dynamic temperature of a predetermined target area of ​​the liquid cooling component to obtain a set of temperature data for the target area under the temperature change conditions; based on multiple tests simulating the same temperature change conditions, multiple sets of temperature data for the target area under the same temperature change conditions are obtained; the set temperature includes a set first temperature and a set second temperature, wherein the first temperature is lower than the second temperature; The detection module is used to determine the consistency of the temperature response characteristics of the liquid cooling component based on multiple sets of temperature data of the target area, and to obtain the detection result of whether the liquid cooling component is abnormal. The abnormality of the liquid cooling component includes flow channel blockage and liquid leakage. The detection module is specifically used to: for each set of temperature data in the target area, generate a temperature response curve corresponding to the set of temperature data based on multiple temperature values ​​in the set of temperature data and the acquisition time point of each temperature value. The temperature response curve is used to represent the change in temperature change rate over time. Based on multiple temperature response curves in the target area, determine the consistency of the temperature response characteristics of the liquid cooling component, and obtain a detection result indicating whether the liquid cooling component is abnormal. The consistency of the temperature response characteristics includes the degree of overlap of multiple temperature response curves.

7. The apparatus according to claim 6, characterized in that, The detection module is specifically used to: for each set of temperature data in the target area, determine the temperature characteristic parameters corresponding to the set of temperature data based on multiple temperature values ​​in the set of temperature data; and based on the multiple temperature characteristic parameters of the target area, determine the consistency of the temperature response characteristics of the liquid cooling component, and obtain a detection result indicating whether the liquid cooling component is abnormal.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

9. A system, characterized in that, It includes an industrial control computer, an infrared thermal imaging camera, and a dynamic liquid cooling distribution device. The industrial control computer is connected to the infrared thermal imaging camera and the dynamic liquid cooling distribution device. The dynamic liquid cooling distribution device is connected to the liquid cooling components through pipelines. The dynamic liquid cooling distribution device is used to introduce coolant at a set temperature into the liquid cooling assembly to simulate temperature change conditions; the set temperature includes a set first temperature and a set second temperature, wherein the first temperature is lower than the second temperature; The infrared thermal imaging camera is used to collect the dynamic temperature of a pre-determined target area for the liquid cooling component, and transmit the temperature data of the target area under the temperature change condition to the industrial control computer. The industrial control computer is used to simulate the same temperature change conditions through multiple tests to obtain multiple sets of temperature data for the target area under the same temperature change conditions. Based on the multiple sets of temperature data for the target area, the computer determines the consistency of the temperature response characteristics of the liquid cooling component and obtains the detection result of whether the liquid cooling component is abnormal. The abnormality of the liquid cooling component includes flow channel blockage and liquid leakage. The industrial control computer is specifically used to generate a temperature response curve corresponding to each set of temperature data for the target area, based on multiple temperature values ​​in the set of temperature data and the acquisition time point of each temperature value. The temperature response curve is used to represent the change of temperature change rate over time. Based on multiple temperature response curves of the target area, the degree of consistency of the temperature response characteristics of the liquid cooling component is determined, and the detection result of whether the liquid cooling component is abnormal is obtained; wherein, the degree of consistency of the temperature response characteristics includes the degree of overlap of multiple temperature response curves.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

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