Method for detecting leakage of pre-charging gas of expansion tank, control device and liquid cooling system

Abstract

The application provides an inflation tank pre-charging gas leakage detection method, a control device and a liquid cooling system. The method comprises the following steps: obtaining temperature and pressure monitoring data sets of the liquid cooling system in which the inflation tank is located in multiple monitoring periods; the temperature and pressure monitoring data set comprises liquid medium average temperature and liquid return pressure corresponding to multiple sampling periods; determining the average unit temperature and pressure change value of each monitoring period according to the temperature and pressure monitoring data sets of the multiple monitoring periods; if the average unit temperature and pressure change value shows a downward trend in the multiple monitoring periods, it is determined that the inflation tank has a pre-charging gas leakage risk. The application can automatically detect the pre-charging gas leakage of the inflation tank, and manual periodic detection is not required, so that the detection process can be simplified, manual work can be saved, efficiency can be improved, and the inflation tank does not need to be disconnected, so that the normal operation of the liquid cooling system is not affected.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of liquid cooling, and in particular to an expansion tank pre-charged gas leakage detection method, a control device and a liquid cooling system. BACKGROUND

[0002] As a kind of pressure stabilizing device, expansion tank is widely used in IDC (Internet Data Center, Internet Data Center) industry liquid cooling system, for buffering the pressure change of entire liquid cooling system caused by temperature change or water flow impact, and plays an important role in the entire liquid cooling system.

[0003] A certain amount of gas (i.e. pre-charged gas) is pre-charged between the shell and the water bag of the expansion tank, and the water bag shrinks and expands according to the water capacity or pressure change of the device at different temperatures, but the water bag and the shell of the traditional expansion tank are pressed by bolts, and air leakage occurs from time to time. At present, only by periodically disconnecting the expansion tank and draining the water in the expansion tank, the air pressure is measured to determine whether leakage occurs, but this method needs to be detected manually and periodically, and the process is relatively cumbersome, and disconnecting the expansion tank will affect the normal operation of the liquid cooling system. SUMMARY

[0004] The present application provides an expansion tank pre-charged gas leakage detection method, a control device and a liquid cooling system to solve the problem that the existing expansion tank pre-charged gas leakage detection method needs to be detected manually and periodically, and the process is relatively cumbersome, and disconnecting the expansion tank will affect the normal operation of the liquid cooling system.

[0005] In a first aspect, the present application provides an expansion tank pre-charged gas leakage detection method, comprising:

[0006] Obtain temperature and pressure monitoring data sets of the liquid cooling system in which the expansion tank is located in multiple monitoring periods; the temperature and pressure monitoring data set includes liquid medium average temperature and liquid return pressure corresponding to multiple sampling periods;

[0007] According to the temperature and pressure monitoring data sets of multiple monitoring periods, determine the average value of unit temperature and pressure change of each monitoring period;

[0008] If the average value of unit temperature and pressure change shows a downward trend in multiple monitoring periods, it is determined that the expansion tank has a pre-charged gas leakage risk.

[0009] In one possible implementation, according to the temperature and pressure monitoring data sets of multiple monitoring periods, the average value of unit temperature and pressure change of each monitoring period is determined, comprising:

[0010] For each temperature pressure monitoring data set of each monitoring period, the difference of the average temperature of the liquid medium of each group of adjacent sampling periods and the difference of the back-liquid pressure are calculated, and according to the difference of the average temperature of the liquid medium of each group of adjacent sampling periods and the difference of the back-liquid pressure, the unit temperature pressure change value corresponding to each group of adjacent sampling periods is obtained, and according to the unit temperature pressure change value corresponding to each group of adjacent sampling periods, the unit temperature pressure change average value of the monitoring period is obtained.

[0011] In a possible implementation, according to the difference of the average temperature of the liquid medium of each group of adjacent sampling periods and the difference of the back-liquid pressure, the unit temperature pressure change value corresponding to each group of adjacent sampling periods is obtained, including:

[0012] The ratio of the difference of the back-liquid pressure of each group of adjacent sampling periods to the corresponding difference of the average temperature of the liquid medium is taken as the unit temperature pressure change value corresponding to each group of adjacent sampling periods.

[0013] In a possible implementation, according to the unit temperature pressure change value corresponding to each group of adjacent sampling periods, the unit temperature pressure change average value of the monitoring period is obtained, including:

[0014] The average value of the unit temperature pressure change value corresponding to each group of adjacent sampling periods of the monitoring period is calculated to obtain the unit temperature pressure change average value of the monitoring period.

[0015] In a possible implementation, the average temperature of the liquid medium corresponding to each sampling period is the average value of the liquid supply temperature and the back-liquid temperature corresponding to each sampling period.

[0016] In a possible implementation, the liquid supply temperature is collected based on a liquid supply temperature transmitter.

[0017] The back-liquid temperature is collected based on a back-liquid temperature transmitter.

[0018] The back-liquid pressure is collected based on a pressure transmitter.

[0019] In a possible implementation, the temperature pressure monitoring data set of each monitoring period includes the temperature pressure monitoring data set of at least one preset time period in each monitoring period.

[0020] In a second aspect, an embodiment of the present application provides an inflation tank pre-charging gas leakage detection device, including:

[0021] The acquisition module is configured to acquire temperature pressure monitoring data sets of a plurality of monitoring periods of a liquid cooling system in which the inflation tank is located; the temperature pressure monitoring data set includes the average temperature of the liquid medium and the back-liquid pressure corresponding to a plurality of sampling periods.

[0022] The data processing module is configured to determine a unit temperature pressure change average value of each monitoring period according to the temperature pressure monitoring data sets of the plurality of monitoring periods.

[0023] The leakage detection module is configured to determine that the expansion tank has a pre-charging gas leakage risk if the unit temperature pressure change average value shows a downward trend in the plurality of monitoring periods.

[0024] In a third aspect, an embodiment of the present application provides a control device, including a memory and a processor, the memory is configured to store a computer program, and the processor is configured to call and run the computer program stored in the memory to execute the expansion tank pre-charging gas leakage detection method as described in the first aspect or any possible implementation manner of the first aspect.

[0025] In a fourth aspect, an embodiment of the present application provides a liquid cooling system, including an expansion tank, a liquid supply temperature transmitter configured to collect a liquid supply temperature of the liquid cooling system, a liquid return temperature transmitter configured to collect a liquid return temperature of the liquid cooling system, a pressure transmitter configured to collect a liquid return pressure of the liquid cooling system, and the control device as described in the third aspect.

[0026] The liquid supply temperature transmitter, the liquid return temperature transmitter and the pressure transmitter are connected with the control device.

[0027] The control device is configured to receive temperature pressure monitoring data sets of a plurality of monitoring periods collected by the liquid supply temperature transmitter, the liquid return temperature transmitter and the pressure transmitter, and to monitor whether the expansion tank has a pre-charging gas leakage risk according to the temperature pressure monitoring data sets of the plurality of monitoring periods.

[0028] In a fifth aspect, an embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the expansion tank pre-charging gas leakage detection method as described in the first aspect or any possible implementation manner of the first aspect.

[0029] The embodiments of the present application provide an expansion tank pre-charging gas leakage detection method, a control device and a liquid cooling system. The method obtains temperature pressure monitoring data sets of a plurality of monitoring periods of a liquid cooling system in which an expansion tank is located, i.e., average temperatures of liquid media and liquid return pressures corresponding to a plurality of sampling periods, and determines a unit temperature pressure change average value of each monitoring period according to the temperature pressure monitoring data sets of the plurality of monitoring periods. If the unit temperature pressure change average value shows a downward trend in the plurality of monitoring periods, it is determined that the expansion tank has a pre-charging gas leakage risk. Thus, the pre-charging gas leakage of the expansion tank can be automatically detected without manual periodic detection, the detection process can be simplified, the labor can be saved, the efficiency can be improved, and the normal operation of the liquid cooling system is not affected without disconnecting the expansion tank. BRIEF DESCRIPTION OF DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only some of the embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0031] Figure 1 is a flowchart of the expansion tank pre-charged gas leak detection method provided by the embodiments of the present application;

[0032] Figure 2 is a structural diagram of the liquid cooling system provided by the embodiments of the present application;

[0033] Figure 3 is a structural diagram of the expansion tank pre-charged gas leak detection device provided by the embodiments of the present application;

[0034] Figure 4 is a schematic diagram of the control device provided by the embodiments of the present application. DETAILED DESCRIPTION

[0035] In the following description, specific details are set forth in order to provide a thorough understanding of the embodiments of the present application for purposes of explanation and not limitation. It will be obvious to those skilled in the art that the present application can be practiced without some or all of these specific details. In other instances, well-known systems, devices, circuits, and methods have not been described in detail so as not to unnecessarily obscure the present application.

[0036] In order to make the objects, technical solutions and advantages of the present application clearer, the following will be described by specific embodiments in conjunction with the drawings.

[0037] Referring to Figure 1 , which shows the implementation flowchart of the expansion tank pre-charged gas leak detection method provided by the embodiments of the present application. The execution subject of the above expansion tank pre-charged gas leak detection method can be a control device, which can be a CDU (Coolant Distribution Unit, coolant distribution unit) of a liquid cooling system, or other control devices, which are not specifically limited here.

[0038] Referring to Figure 2 , the liquid cooling system includes an expansion tank EV, a supply liquid temperature transmitter T23 for collecting the supply liquid temperature of the liquid cooling system, a return liquid temperature transmitter T21 for collecting the return liquid temperature of the liquid cooling system, a pressure transmitter P21 for collecting the return liquid pressure of the liquid cooling system, and the control device as described above.

[0039] The liquid supply temperature transmitter T23, the liquid return temperature transmitter T21 and the pressure transmitter P21 are connected to the control device, and are configured to send the collected data to the control device.

[0040] The control device is configured to receive temperature and pressure monitoring data sets of multiple monitoring periods collected by the liquid supply temperature transmitter T23, the liquid return temperature transmitter T21 and the pressure transmitter P21, and monitor whether the expansion tank has a risk of pre-charged gas leakage according to the temperature and pressure monitoring data sets of the multiple monitoring periods.

[0041] The method of monitoring whether the expansion tank has a risk of pre-charged gas leakage by the control device is described below in the method of detecting pre-charged gas leakage of the expansion tank.

[0042] Referring to Figure 2 , the expansion tank EV is located on the liquid return pipeline. The liquid cooling system further comprises a plate heat exchanger HE configured to connect a primary side and a secondary side of the liquid cooling system. The positions and connection relationships of the components of the liquid cooling system are described below in the liquid cooling system, and will not be described here. Figure 2

[0043] Referring to Figure 1 , the method of detecting pre-charged gas leakage of the expansion tank comprises the following steps.

[0044] In S101, temperature and pressure monitoring data sets of multiple monitoring periods of the liquid cooling system in which the expansion tank is located are obtained. The temperature and pressure monitoring data sets comprise liquid medium average temperatures and liquid return pressures corresponding to multiple sampling periods.

[0045] The sampling period is less than the monitoring period, and each monitoring period can comprise multiple sampling periods. The lengths of the monitoring period and the sampling period can be set according to actual requirements. For example, the sampling period can be 5 minutes, 10 minutes, etc., and the monitoring period can be one day, two days, etc.

[0046] The temperature and pressure monitoring data set of each monitoring period can comprise liquid medium average temperatures and liquid return pressures corresponding to multiple sampling periods. The liquid medium average temperature is the average temperature of the liquid medium in the liquid cooling system. The liquid cooling system is a system for cooling electronic devices by using liquid medium, and the type of the liquid medium can be set according to actual requirements, which will not be specifically limited here. For example, the liquid medium can be water or other medium. The liquid return pressure is the pressure of the liquid return of the liquid cooling system, which can be equivalent to the pressure in the expansion tank.

[0047] ​Multiple sampling periods can be continuous sampling periods or sampling periods with time intervals in between, or some or all of them. Multiple monitoring periods can be continuous monitoring periods or monitoring periods with time intervals in between, or multiple monitoring periods can be understood as at least two monitoring periods, such as 5 monitoring periods, 6 monitoring periods, etc. Multiple sampling periods can be understood as at least two sampling periods, such as 36 sampling periods, 48 ​​sampling periods, etc.

[0048] This embodiment collects and acquires temperature and pressure monitoring datasets based on the location of the expansion tank. For example, if the expansion tank is located on the primary side of the liquid cooling system, the temperature and pressure monitoring datasets of the primary side of the liquid cooling system are collected and acquired; if the expansion tank is located on the secondary side of the liquid cooling system, the temperature and pressure monitoring datasets of the secondary side of the liquid cooling system are collected and acquired.

[0049] This embodiment does not impose specific restrictions on the specific means of obtaining the average temperature and return pressure of the liquid medium; any feasible means may be used.

[0050] In S102, based on the temperature and pressure monitoring datasets from multiple monitoring cycles, the average unit temperature and pressure change for each monitoring cycle is determined.

[0051] The average value of the unit temperature and pressure change can reflect whether the pre-charge gas leak has occurred in the expansion tank.

[0052] This embodiment can determine the average unit temperature and pressure change for each monitoring cycle based on the temperature and pressure monitoring dataset for each monitoring cycle.

[0053] In S103, if the average value of the unit temperature and pressure change shows a downward trend over multiple monitoring periods, it is determined that there is a risk of pre-charge gas leakage in the expansion tank.

[0054] The decreasing trend of the average change in unit temperature and pressure over multiple monitoring periods can be interpreted as the average change in unit temperature and pressure decreasing sequentially from beginning to end over multiple monitoring periods. This decreasing trend can be understood as the average change in unit temperature and pressure gradually decreasing over multiple monitoring periods; or, the average change in unit temperature and pressure decreasing in some monitoring periods and remaining unchanged in the remaining monitoring periods; or, the average change in unit temperature and pressure increasing in one or two monitoring periods (very few monitoring periods), remaining unchanged in some monitoring periods, decreasing in the remaining monitoring periods, but showing an overall decreasing trend; and so on.

[0055] In this embodiment, if the average value of the unit temperature and pressure change is found to be decreasing over multiple monitoring periods, it is determined that there is a risk of pre-charge gas leakage in the expansion tank; otherwise, it is determined that there is no risk of pre-charge gas leakage in the expansion tank.

[0056] This embodiment acquires temperature and pressure monitoring datasets for multiple monitoring cycles of the liquid cooling system where the expansion tank is located, namely the average temperature and return pressure of the liquid medium corresponding to multiple sampling cycles. Based on the temperature and pressure monitoring datasets for multiple monitoring cycles, the average unit temperature and pressure change for each monitoring cycle is determined. If the average unit temperature and pressure change shows a decreasing trend over multiple monitoring cycles, it is determined that there is a risk of pre-charge gas leakage in the expansion tank. This allows for automatic detection of pre-charge gas leakage in the expansion tank without the need for regular manual inspections, simplifying the detection process, saving manpower, improving efficiency, and eliminating the need to disconnect the expansion tank, thus avoiding disruption to the normal operation of the liquid cooling system.

[0057] In some embodiments, S102 may include:

[0058] For the temperature and pressure monitoring dataset of each monitoring cycle, the difference in average temperature of the liquid medium and the difference in return pressure of each group of adjacent sampling cycles are calculated. Based on the difference in average temperature of the liquid medium and the difference in return pressure of each group of adjacent sampling cycles, the unit temperature and pressure change value corresponding to each group of adjacent sampling cycles is obtained. Based on the unit temperature and pressure change value corresponding to each group of adjacent sampling cycles, the average unit temperature and pressure change value of the monitoring cycle is obtained.

[0059] In this context, adjacent sampling periods can be understood as the two sampling periods that are closest in time. Each group of adjacent sampling periods consists of two sampling periods. For example, assuming that sampling is completed every 5 minutes, then the first 5 minutes and the second 5 minutes constitute a group of adjacent sampling periods, the second 5 minutes and the third 5 minutes constitute a group of adjacent sampling periods, the third 5 minutes and the fourth 5 minutes constitute a group of adjacent sampling periods, and so on.

[0060] The average value of the unit temperature and pressure change can be calculated for the temperature and pressure monitoring dataset of each monitoring cycle.

[0061] For each monitoring cycle's temperature and pressure monitoring dataset, the difference in average liquid medium temperature between adjacent sampling cycles (i.e., the difference in average liquid medium temperature between two adjacent sampling cycles) and the difference in return pressure between adjacent sampling cycles (i.e., the difference in return pressure between two adjacent sampling cycles) can be calculated. Then, based on the difference in average liquid medium temperature and return pressure between adjacent sampling cycles, the unit temperature and pressure change value corresponding to each adjacent sampling cycle can be calculated. Finally, based on the unit temperature and pressure change value corresponding to each adjacent sampling cycle, the average unit temperature and pressure change value for that monitoring cycle can be calculated.

[0062] In some embodiments, obtaining the unit temperature and pressure change value corresponding to each group of adjacent sampling periods based on the difference in the average temperature of the liquid medium and the difference in the return pressure of each group of adjacent sampling periods includes:

[0063] The ratio of the difference in return pressure between adjacent sampling periods to the difference in the average temperature of the corresponding liquid medium is used as the unit temperature and pressure change value for each adjacent sampling period.

[0064] In some embodiments, obtaining the average temperature and pressure change per unit temperature and pressure for a monitoring period based on the unit temperature and pressure change values ​​corresponding to each group of adjacent sampling periods includes:

[0065] Calculate the average value of the unit temperature and pressure change corresponding to each group of adjacent sampling periods in the monitoring period to obtain the average value of the unit temperature and pressure change in the monitoring period.

[0066] For example, taking one monitoring cycle as an example, the difference between the average temperature of the liquid medium and the difference between the return pressure in the first and second sampling cycles of the monitoring cycle are calculated, and the ratio of the difference in return pressure to the average temperature of the liquid medium is used as the unit temperature-pressure change value corresponding to the first and second sampling cycles. The difference between the average temperature of the liquid medium and the difference between the return pressure in the second and third sampling cycles of the monitoring cycle are calculated, and the ratio of the difference in return pressure to the average temperature of the liquid medium is used as the unit temperature-pressure change value corresponding to the second and third sampling cycles. The difference between the average temperature of the liquid medium and the difference between the return pressure in the third and fourth sampling cycles of the monitoring cycle are calculated, and the ratio of the difference in return pressure to the average temperature of the liquid medium is used as the unit temperature-pressure change value corresponding to the third and fourth sampling cycles, and so on, until the unit temperature-pressure change value corresponding to the (n-1)th and nth sampling cycles is calculated. Here, n is the number of sampling cycles included in the monitoring cycle. Finally, the average value of all unit temperature and pressure changes during the monitoring period is calculated as the average unit temperature and pressure change for that monitoring period.

[0067] This application embodiment is based on the ideal gas law pV = nRT to detect the risk of pre-charge gas leakage in an expansion tank. The expansion volume V inside the expansion tank is equal to the volume change of the liquid at different temperatures (average temperature of the liquid medium). The expansion tank satisfies the above ideal gas law. The diaphragm inside the expansion tank is adiabatic, the temperature T is constant, and p is the return pressure (basically equal to the pressure inside the expansion tank). Therefore, an equation can be established for temperature change and pressure change to determine whether n changes, and thus determine whether there is a risk of pre-charge gas leakage in the expansion tank.

[0068] In some embodiments, the average temperature of the liquid medium corresponding to each sampling cycle is the average of the supply temperature and return temperature corresponding to each sampling cycle.

[0069] In this embodiment, the average of the supply temperature and the return temperature is the average temperature of the liquid medium in the liquid cooling system.

[0070] In some embodiments, the liquid supply temperature is acquired based on the liquid supply temperature transmitter;

[0071] The return liquid temperature is collected based on the return liquid temperature transmitter.

[0072] The return pressure is collected using a pressure transmitter.

[0073] In some embodiments, the temperature and pressure monitoring dataset for multiple monitoring cycles includes a temperature and pressure monitoring dataset for at least one preset time period in each monitoring cycle.

[0074] In this embodiment, when collecting temperature and pressure monitoring datasets, data can be collected according to the sampling period throughout the entire monitoring cycle, or only within a preset time period of the monitoring cycle. For example, assuming the monitoring cycle is one day, the preset time period could be 03:00-06:00 and / or 12:00-16:00, etc. The preset time period can be set according to actual needs and is not specifically limited here.

[0075] In some possible implementations, after determining that there is a risk of pre-charge gas leakage in the expansion tank, the above-mentioned expansion tank pre-charge gas leakage detection method may further include:

[0076] An alarm is triggered to warn of a potential leak of pre-filled gas from the expansion tank, prompting staff to inspect or replace the expansion tank.

[0077] The alarm methods can include audible and visual alarms, or sending alarm messages to staff, etc.

[0078] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0079] The following are device embodiments of the present invention. For details not described in detail, please refer to the corresponding method embodiments described above.

[0080] Figure 3 A schematic diagram of the expansion tank pre-fill gas leakage detection device provided in an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, and are described in detail below:

[0081] like Figure 3 As shown, the expansion tank pre-fill gas leakage detection device 30 may include: an acquisition module 31, a data processing module 32, and a leakage detection module 33.

[0082] The acquisition module 31 is used to acquire temperature and pressure monitoring datasets for multiple monitoring cycles of the liquid cooling system where the expansion tank is located; the temperature and pressure monitoring datasets include the average temperature and return pressure of the liquid medium corresponding to multiple sampling cycles;

[0083] Data processing module 32 is used to determine the average value of unit temperature and pressure change for each monitoring cycle based on temperature and pressure monitoring datasets from multiple monitoring cycles.

[0084] The leak detection module 33 is used to determine that there is a risk of pre-charge gas leakage in the expansion tank if the average value of the unit temperature and pressure change shows a downward trend over multiple monitoring periods.

[0085] In one possible implementation, the data processing module 32 is specifically used for:

[0086] For the temperature and pressure monitoring dataset of each monitoring cycle, the difference in average temperature of the liquid medium and the difference in return pressure of each group of adjacent sampling cycles are calculated. Based on the difference in average temperature of the liquid medium and the difference in return pressure of each group of adjacent sampling cycles, the unit temperature and pressure change value corresponding to each group of adjacent sampling cycles is obtained. Based on the unit temperature and pressure change value corresponding to each group of adjacent sampling cycles, the average unit temperature and pressure change value of the monitoring cycle is obtained.

[0087] In one possible implementation, in the data processing module 32, based on the difference in the average temperature of the liquid medium and the difference in the return pressure of each group of adjacent sampling periods, the unit temperature and pressure change value corresponding to each group of adjacent sampling periods is obtained, including:

[0088] The ratio of the difference in return pressure between adjacent sampling periods to the difference in the average temperature of the corresponding liquid medium is used as the unit temperature and pressure change value for each adjacent sampling period.

[0089] In one possible implementation, in the data processing module 32, the average temperature and pressure change per unit temperature and pressure for the monitoring period is obtained based on the unit temperature and pressure change values ​​corresponding to each group of adjacent sampling periods, including:

[0090] Calculate the average value of the unit temperature and pressure change corresponding to each group of adjacent sampling periods in the monitoring period to obtain the average value of the unit temperature and pressure change in the monitoring period.

[0091] In one possible implementation, the average temperature of the liquid medium corresponding to each sampling cycle is the average of the supply and return temperatures for each sampling cycle.

[0092] In one possible implementation, the liquid supply temperature is acquired based on a liquid supply temperature transmitter.

[0093] The return liquid temperature is collected based on the return liquid temperature transmitter.

[0094] The return pressure is collected using a pressure transmitter.

[0095] In one possible implementation, the temperature and pressure monitoring dataset for multiple monitoring cycles includes a temperature and pressure monitoring dataset for at least one preset time period in each monitoring cycle.

[0096] Figure 4 This is a schematic diagram of the control device provided in an embodiment of the present invention. Figure 4As shown, the control device 4 in this embodiment includes a processor 40 and a memory 41. The memory 41 stores a computer program 42, and the processor 40 calls and runs the computer program 42 stored in the memory 41 to execute the steps in the various embodiments of the expansion tank pre-fill gas leak detection method, for example... Figure 1 S101 to S103 are shown. Alternatively, the processor 40 is used to call and run the computer program 42 stored in the memory 41 to implement the functions of each module / unit in the above-described device embodiments, for example... Figure 3 The functions of modules / units 31 to 33 shown.

[0097] For example, the computer program 42 can be divided into one or more modules / units, which are stored in the memory 41 and executed by the processor 40 to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 42 in the control device 4. For example, the computer program 42 can be divided into... Figure 3 Modules / units 31 to 33 are shown.

[0098] The control device 4 may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will understand that... Figure 4 This is merely an example of control device 4 and does not constitute a limitation on control device 4. It may include more or fewer components than shown, or combine certain components, or different components. For example, the control device may also include input / output devices, network access devices, buses, etc.

[0099] The processor 40 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0100] The memory 41 can be an internal storage unit of the control device 4, such as a hard disk or memory of the control device 4. The memory 41 can also be an external storage device of the control device 4, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card equipped on the control device 4. Furthermore, the memory 41 can include both internal and external storage units of the control device 4. The memory 41 is used to store the computer program and other programs and data required by the control device. The memory 41 can also be used to temporarily store data that has been output or will be output.

[0101] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0102] For the control equipment mentioned above, see [link to relevant documentation]. Figure 2 This application also provides a liquid cooling system, including an expansion tank EV, a supply temperature transmission T23 for acquiring the supply temperature of the liquid cooling system, a return temperature transmitter T21 for acquiring the return temperature of the liquid cooling system, a pressure transmitter P21 for acquiring the return pressure of the liquid cooling system, and the control device described above.

[0103] The supply temperature transmitter T23, return temperature transmitter T21, and pressure transmitter P21 are all connected to the control equipment to send the collected data to the control equipment.

[0104] The control equipment is used to receive temperature and pressure monitoring data sets from multiple monitoring cycles collected by the liquid supply temperature transmitter T23, the liquid return temperature transmitter T21, and the pressure transmitter P21, and to monitor whether there is a risk of pre-charge gas leakage in the expansion tank based on the temperature and pressure monitoring data sets from multiple monitoring cycles.

[0105] For details regarding the liquid cooling system, please refer to the specific descriptions in the aforementioned methods; they will not be repeated here.

[0106] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0107] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0108] In the embodiments provided by this invention, it should be understood that the disclosed apparatus / control devices and methods can be implemented in other ways. For example, the apparatus / control device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0109] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0110] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0111] If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the above embodiments of the expansion tank pre-fill gas leak detection method. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0112] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for detecting gas leakage during pre-filling of an expansion tank, characterized in that, include: Acquire temperature and pressure monitoring datasets for multiple monitoring cycles of the liquid cooling system where the expansion tank is located; the temperature and pressure monitoring datasets include the average temperature and return pressure of the liquid medium corresponding to multiple sampling cycles. Based on the temperature and pressure monitoring data from the multiple monitoring periods, determine the average unit temperature and pressure change for each monitoring period; If the average value of the unit temperature and pressure change shows a decreasing trend over the multiple monitoring periods, it is determined that the expansion tank has a risk of pre-fill gas leakage. The step of determining the average unit temperature and pressure change for each monitoring cycle based on the temperature and pressure monitoring data from the multiple monitoring cycles includes: For the temperature and pressure monitoring dataset of each monitoring cycle, calculate the difference between the average temperature of the liquid medium and the difference between the return pressure of each group of adjacent sampling cycles. Use the ratio of the difference between the return pressure of each group of adjacent sampling cycles and the corresponding difference between the average temperature of the liquid medium as the unit temperature and pressure change value corresponding to each group of adjacent sampling cycles. Calculate the average unit temperature and pressure change value corresponding to each group of adjacent sampling cycles in this monitoring cycle to obtain the average unit temperature and pressure change value of this monitoring cycle. The average temperature of the liquid medium corresponding to each sampling cycle is the average of the supply temperature and return temperature corresponding to each sampling cycle.

2. The method for detecting pre-filled gas leakage in an expansion tank according to claim 1, characterized in that, The liquid supply temperature is collected based on the liquid supply temperature transmitter. The return liquid temperature is acquired based on the return liquid temperature transmitter; The return pressure is collected using a pressure transmitter.

3. The method for detecting pre-fill gas leakage in an expansion tank according to any one of claims 1 to 2, characterized in that, The temperature and pressure monitoring datasets for the multiple monitoring cycles include temperature and pressure monitoring datasets for at least one preset time period in each monitoring cycle.

4. A device for detecting gas leakage during pre-filling of an expansion tank, characterized in that, The method for performing the expansion tank pre-fill gas leakage detection method as described in any one of claims 1 to 3 includes: The acquisition module is used to acquire temperature and pressure monitoring datasets for multiple monitoring cycles of the liquid cooling system where the expansion tank is located; the temperature and pressure monitoring datasets include the average temperature and return pressure of the liquid medium corresponding to multiple sampling cycles; The data processing module is used to determine the average value of the unit temperature and pressure change for each monitoring cycle based on the temperature and pressure monitoring datasets of the multiple monitoring cycles. The leakage detection module is used to determine that the expansion tank has a risk of pre-fill gas leakage if the average value of the unit temperature and pressure change shows a downward trend over the multiple monitoring periods.

5. A control device, characterized in that, It includes a memory and a processor, the memory being used to store a computer program, and the processor being used to call and run the computer program stored in the memory to perform the expansion tank pre-fill gas leakage detection method as described in any one of claims 1 to 3.

6. A liquid cooling system, characterized in that, It includes an expansion tank, a supply temperature transmitter for acquiring the supply temperature of the liquid cooling system, a return temperature transmitter for acquiring the return temperature of the liquid cooling system, a pressure transmitter for acquiring the return pressure of the liquid cooling system, and the control device as described in claim 5. The supply temperature transmitter, the return temperature transmitter, and the pressure transmitter are all connected to the control device. The control device is used to receive temperature and pressure monitoring data sets from the liquid supply temperature transmitter, the liquid return temperature transmitter, and the pressure transmitter for multiple monitoring cycles, and to monitor whether there is a risk of pre-charge gas leakage in the expansion tank based on the temperature and pressure monitoring data sets from the multiple monitoring cycles.

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