CN115357421A - Server liquid cooling system leakage processing method and device and computer equipment - Google Patents

Server liquid cooling system leakage processing method and device and computer equipment Download PDF

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CN115357421A
CN115357421A CN202210917757.1A CN202210917757A CN115357421A CN 115357421 A CN115357421 A CN 115357421A CN 202210917757 A CN202210917757 A CN 202210917757A CN 115357421 A CN115357421 A CN 115357421A
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leakage
liquid
liquid cooling
current value
cooling system
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韩钟兴
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Suzhou Inspur Intelligent Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0751Error or fault detection not based on redundancy
    • G06F11/0754Error or fault detection not based on redundancy by exceeding limits
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0793Remedial or corrective actions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3058Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/32Monitoring with visual or acoustical indication of the functioning of the machine
    • G06F11/324Display of status information
    • G06F11/327Alarm or error message display

Abstract

The invention discloses a method and a device for treating liquid leakage of a server liquid cooling system and computer equipment, wherein the method comprises the following steps: acquiring a current value of a leakage detection line, wherein at least two leakage detection lines are wound on the outer surface of the server liquid cooling system in parallel, and the leakage detection line is connected with a power supply for supplying power to the leakage detection line; obtaining a predicted leakage amount based on a preset gray model and a current value; executing a corresponding leakage treatment method based on the predicted leakage amount and a preset leakage strategy; the occurrence of liquid leakage of the liquid cooling service system is detected by the current change of the liquid leakage detection line during liquid leakage, the amount of the liquid leakage of the liquid cooling system is judged in advance by combining a gray model, and a corresponding processing method is adopted according to the amount of the liquid leakage, so that the problem that the system or the board card is damaged due to the fact that the system or the board card is polluted by water cooling liquid when the liquid leakage enters a server and spreads to a case is effectively avoided.

Description

Server liquid cooling system leakage processing method and device and computer equipment
Technical Field
The invention relates to the field of server heat dissipation processing, in particular to a method and a device for processing liquid leakage of a server liquid cooling system and computer equipment.
Background
Just as with any powerful computer hardware, a Central Processing Unit (CPU) generates heat energy during operation, requiring proper heat dissipation to achieve maximum performance. During operation, transistors within the CPU convert electrical power into heat, which raises the temperature of the CPU. If there is no effective path for this heat energy to dissipate, the CPU will exceed its safe operating temperature, causing the CPU to malfunction.
In order to keep the CPU operating at an ideal temperature, the CPU needs to be cooled by the processor, and an air-cooled heat sink or a liquid-cooled heat sink is generally installed on the CPU to cool the CPU of most desktop computers and notebook computers. Among them, the liquid-cooled radiator is more widely used because it can equalize the heat of the CPU and operate with low noise.
However, the liquid cooling radiator is prone to leakage caused by inaccurate positioning of the installation of the interface or factory tolerance of the connector, or aging of a hose pipeline for circulating cooling liquid. Once a leakage problem occurs, it is an irreversible action, because the water-cooling liquid will spread out of the pipeline, so a method is needed to perform leakage detection and prevent the leakage of the cooling liquid from spreading into the cabinet system.
Disclosure of Invention
The invention aims to: the server liquid cooling system leakage processing method, the server liquid cooling system leakage processing device and the computer equipment can effectively detect leakage and prevent cooling liquid from slowly shaking into a case system.
The technical scheme of the invention is as follows: in a first aspect, the present invention provides a method for processing liquid leakage of a server liquid cooling system, where the method includes:
acquiring a current value of a leakage detection line, wherein at least two leakage detection lines are wound on the outer surface of the server liquid cooling system in parallel, and the leakage detection line is connected with a power supply for supplying power to the leakage detection line;
obtaining a predicted leakage amount based on a preset gray model and the current value;
and executing a corresponding leakage treatment method based on the predicted leakage amount and a preset leakage strategy.
In a preferred embodiment, the server liquid cooling system includes a liquid cooling head, a radiator, and a liquid cooling circulation pipeline communicating the liquid cooling head and the radiator to form a closed loop;
the liquid cooling head is arranged on the surface of a metal cover of the server CPU, and the liquid leakage detection line is wound on the surface of the liquid cooling circulation pipeline in parallel.
In a preferred embodiment, after obtaining the current value of the leakage detection line, the method further includes:
judging whether the current value of the leakage detection line is larger than a preset current threshold value or not;
and if so, sending an alarm notice to the management client based on the network serial port.
In a preferred embodiment, the obtaining the current value of the leakage detection line includes:
and periodically acquiring the current value of each leakage detection line to obtain a current value sample set, wherein the acquisition period is less than or equal to 30s.
In a preferred embodiment, the obtaining a predicted leakage amount based on a preset gray model and the current value comprises:
correcting the number of samples in the current value sample set to obtain a corrected current sample set;
and obtaining a predicted leakage amount based on the corrected current sample set and a preset gray model.
In a preferred embodiment, the obtaining the predicted leakage amount based on the corrected current sample set and a preset gray model includes:
sorting all the corrected current values in the corrected current sample set to obtain a first current value sequence;
accumulating, generating and processing the first current value sequence to obtain a second current value sequence;
and generating a predicted leakage amount based on the preset gray model and the second current value sequence.
In a preferred embodiment, the predetermined gray model comprises at least the gray differential equation:
X (0) (k)+aZ (1) (k) = b, k =2,3, ·, n; wherein: a and b are undetermined parameters;
the generating of the predicted leakage amount based on the preset gray model and the second current value sequence comprises:
based on Z (1) (k)=αX (1) (k)+(1-α)X (1) (k-1) calculating the ash differentialThe equation yields the intermediate differential equation:
Figure BDA0003776347300000021
wherein: alpha is a set parameter;
solving the undetermined parameters a and b based on the ash differential equation;
and obtaining the predicted leakage amount based on the values of the undetermined parameters a and b obtained by solving and the intermediate differential equation.
In a preferred embodiment, the method for performing a corresponding leakage handling method based on the predicted leakage amount and a preset leakage strategy includes:
judging whether to open a liquid nitrogen release switch valve based on the predicted leakage amount and a preset leakage strategy, wherein the liquid nitrogen release switch valve is communicated with the server liquid cooling system to supply cooling liquid to the server liquid cooling system;
if yes, opening the liquid nitrogen release switch valve;
if not, closing the liquid nitrogen release switch valve.
In a second aspect, the present invention further provides a device for treating liquid leakage of a liquid cooling system of a server, where the device includes:
the server liquid cooling system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring the current value of a leakage detection line, the leakage detection line is provided with at least two leakage detection lines which are wound on the outer surface of the server liquid cooling system in parallel, and the leakage detection line is connected with a power supply for supplying power to the leakage detection line;
the second acquisition module is used for acquiring the predicted leakage amount based on a preset gray model and the current value;
and the execution module is used for executing a corresponding liquid leakage treatment method based on the predicted liquid leakage amount and a preset liquid leakage strategy.
In a third aspect, the present invention also provides a computer apparatus, the apparatus comprising:
one or more processors; and
a memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform the method of any of the first aspects.
The invention has the advantages that: the method comprises the following steps: acquiring a current value of a leakage detection line, wherein at least two leakage detection lines are wound on the outer surface of the server liquid cooling system in parallel, and the leakage detection line is connected with a power supply for supplying power to the leakage detection line; obtaining a predicted leakage amount based on a preset gray model and a current value; executing a corresponding leakage treatment method based on the predicted leakage amount and a preset leakage strategy; the occurrence of liquid leakage of the liquid cooling service system is detected by the current change of the liquid leakage detection line during liquid leakage, the amount of the liquid leakage of the liquid cooling system is judged in advance by combining a gray model, and a corresponding processing method is adopted according to the amount of the liquid leakage, so that the problem that the system or the board card is damaged due to the fact that the system or the board card is polluted by water cooling liquid when the liquid leakage enters a server and spreads to a case is effectively avoided.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic diagram of a liquid cooling system of a server;
fig. 2 is a schematic diagram of a liquid leakage processing architecture of a liquid cooling system of a server according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a liquid leakage detection line in the liquid leakage processing method of the liquid cooling system of the server according to the embodiment of the present invention;
fig. 4 is a flowchart of a liquid leakage processing method of a liquid cooling system of a server according to a second embodiment of the present invention;
fig. 5 is a structural diagram of a liquid leakage processing apparatus of a liquid cooling system of a server according to a third embodiment of the present invention;
fig. 6 is a diagram illustrating an architecture of a computer device according to a fourth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As described in the background section, referring to fig. 1, the water-cooled process is similar to the air-cooled process, starting with an integrated heat sink connected to the CPU, i.e., a metal lid, which has a bottom plate coated with a thermal paste on its surface, which allows for more efficient heat transfer between the two surfaces. The metal surface of the base plate is part of a water cooling head in a liquid cooling system, which is designed to be filled with a cooling liquid. As the coolant flows through the water head, it absorbs heat from the base plate, and then it continues to move through the liquid cooling system and flows up through one of the two pipes to the radiator. The heat sink exposes the liquid to air to assist in heat dissipation, and a fan connected to the heat sink blows heat away from the heat sink. The coolant then re-enters the water head and the cycle begins again. When the assembly of the pipeline with the interfaces of the radiator and the water cooling head is not accurate enough, or the pipeline is aged after long-term use to generate catalysis, the leakage problem can be caused. When the amount of the leaked liquid is large, the cooling liquid is not only scattered outside the pipeline, but also can spread into the chassis system to cause larger loss.
In order to solve the problems, the invention creatively provides a method, a device and computer equipment for processing the liquid leakage of a server liquid cooling system, which judge whether the liquid cooling system leaks or not by using the current values of at least two liquid leakage detection lines wound on the outer surface of the server liquid cooling system in parallel, predict the liquid leakage amount by using a gray model, process the liquid leakage before the liquid leakage extends to a case system and effectively avoid the damage caused by the liquid leakage extending to the case system. The embodiments of the present application will be described in detail below with reference to the drawings and various embodiments.
The first embodiment is as follows: in this embodiment, a liquid leakage processing architecture of a liquid cooling system of a server in the present application is described.
Specifically, referring to fig. 2 and 3, the architecture includes: a leakage detection line, a BMC (Board Management Controller), and a gray model module.
The leakage detection lines are at least two and are wound on the surface of the server liquid cooling system in parallel, and the leakage detection lines are connected with a power supply for supplying power to the leakage detection lines. Preferably, the leakage detection line is wound on the surface of the pipeline in the server liquid cooling system in parallel. When no leakage of the cooling liquid occurs, the current of the leakage detection line is constant, when the leakage of the cooling liquid occurs, the cooling liquid seeps out of the pipeline, and the cooling liquid between the leakage detection lines forms a conductor, so that the current in the leakage detection line is increased.
The BMC periodically acquires the current value in the leakage detection lines to judge whether the cooling liquid exists between the leakage detection lines, thereby monitoring whether the cooling liquid leaks.
The grey model module acquires a current value in the leakage detection line from the BMC, predicts the leakage amount of the cooling liquid, executes a corresponding strategy, processes the cooling liquid before the cooling liquid spreads to the case system, and effectively prevents the cooling liquid from permeating into the case system.
Example two: based on the structure of liquid leakage processing of the liquid cooling system of the server introduced in the first embodiment, the present embodiment is introduced with reference to fig. 4, where a safety detection process of remote control of a vehicle in the present application is described.
Specifically, referring to fig. 4, based on the method for processing the liquid leakage of the server liquid cooling system disclosed in the present application, the process of processing the liquid leakage of the server liquid cooling system includes:
s410, obtaining the current value of the leakage detection line, wherein at least two leakage detection lines are wound on the outer surface of the server liquid cooling system in parallel, and the leakage detection line is connected with a power supply for supplying power to the leakage detection line.
Specifically, the server liquid cooling system comprises a liquid cooling head, a radiator and a liquid cooling circulation pipeline which is communicated with the liquid cooling head and the radiator to form a closed loop; the liquid cooling head is arranged on the surface of a metal cover of the server CPU, and the liquid leakage detection line is wound on the surface of the liquid cooling circulation pipeline in parallel.
Preferably, the BMC periodically obtains the current value of each leakage detection line to obtain a current value sample set, and the obtaining period is less than or equal to 30s.
Illustratively, the initial value of the current value sampling is 4, and every 30 seconds is set as the sampling interval.
And S420, obtaining a predicted leakage amount based on the preset gray model and the current value.
Specifically, the preset gray model is a GM (1,1) gray model, which is the most widely used prediction model. Compared with the traditional prediction model which needs a large amount of historical data to establish the prediction model, the GM (1,1) gray model can be quickly established without a large amount of data, and according to the definition of the model, the model can be established and predicted by only needing four strokes of data at least, which is the biggest characteristic of the model.
Specifically, the BMC obtains a current value, and inputs the current value into a preset grey model to obtain the predicted leakage amount.
Preferably, the present step comprises:
and S421, correcting the number of the samples in the current value sample set to obtain a corrected current sample set.
Specifically, the number of samples in the current value sample set is modified to achieve the optimized average error value.
And S422, obtaining a predicted leakage amount based on the corrected current sample set and a preset gray model.
Preferably, the present step comprises:
s4221, sorting all correction current values in the correction current sample set to obtain a first current value sequence.
Obtaining a first current value sequence by arranging all the corrected current values in the corrected current sample set in a sequence, as follows:
X (0) ={X (0) (1),X (0) (2),…,X (0) (i),…,X (0) (n)} (1)
in the formula X (0) (i) For the sequence data at time order i, n is the last time order, and its value should be not less than 4.
And S4222, accumulating, generating and processing the first current value sequence to obtain a second current value sequence.
Using a sequence X of first current values (0) Performing accumulation generation operation to convert the current value into a second current value sequence X (1) So that original sequences with larger variation and irregular sequences present more mild and obvious rules after conversion. Comparing the AGO (accumulated Generation Operator) converted second current value sequence with the first current value sequence X (0) It is easier to model for approximation.
The second current value sequence is as follows:
X (1) ={X (1) (1),X (1) 2,…,X (1) (k),…,X (1) (n)} (2)
wherein X (1) And X (0) The conversion relationship is as follows:
Figure BDA0003776347300000071
s4223, generating a predicted leakage amount based on the preset gray model and the second current value sequence. Preferably, the preset gray model is a GM (1,1) model, and is expressed by a gray differential equation:
X (0) (k)+aZ (1) (k)=b,k=2,3,...,n; (4)
wherein: a and b are undetermined parameters;
specifically, the method comprises the following steps:
s42231 based on Z (1) (k)=αX (1) (k)+(1-α)X (1) (k-1) (formula (5))
Calculating the ash differential equation to obtain an intermediate differential equation:
Figure BDA0003776347300000072
wherein: alpha is a setting parameter.
α is usually set to 0.5, and modification adjustment is started when the data structure is special.
S42232, solving the undetermined parameters a and b based on the ash differential equation.
Specifically, the parameters a and b of the GM (1,1) model are solved by the gray differential equation, equation (4), and are represented as a matrix:
Figure BDA0003776347300000073
order to
Figure BDA0003776347300000074
The matrix equation is then:
Y=BA (8)
estimating the value of the matrix A by least squares method (order least-square method) to make the error matrix E = Y-BA
Q=(Y-BA) T (Y-BA);
To find the parameter a that minimizes Q, then:
Figure BDA0003776347300000081
Figure BDA0003776347300000082
s42233, and obtaining the predicted leakage amount based on the values of the undetermined parameters a and b obtained through solving and the intermediate differential equation.
In particular, will be solved
Figure BDA0003776347300000083
And with
Figure BDA0003776347300000084
Substituted into equation (6) to solve X (1) (k+1)。
Then X is put in (1) (k + 1) is subjected to inverse accumulation to generate and reduce the X (0) (k + 1), and the obtained value is the value for predicting the amount of leakage.
From equation (3):
Figure BDA0003776347300000085
the predicted value of the future time xi can be obtained by the following formula:
Figure BDA0003776347300000086
and S430, executing a corresponding leakage treatment method based on the predicted leakage amount and a preset leakage strategy.
Preferably, the method for performing corresponding leakage treatment based on the predicted leakage amount and the preset leakage strategy comprises:
s431, judging whether to open a liquid nitrogen release switch valve or not based on the predicted leakage amount and a preset leakage strategy, wherein the liquid nitrogen release switch valve is communicated with the server liquid cooling system to supply cooling liquid to the server liquid cooling system;
if yes, opening the liquid nitrogen release switch valve;
if not, closing the liquid nitrogen release switch valve.
Illustratively, the preset leakage strategy content is as follows: if the predicted leakage amount is larger than or equal to the preset leakage threshold value, opening a liquid nitrogen release switch valve; and if the predicted leakage amount is less than the preset leakage threshold value, closing the liquid nitrogen release switch valve.
When the predicted leakage amount is large, the circulating cooling liquid in the liquid cooling system of the server is supplemented, or the gas valve of the liquid nitrogen is controlled to be closed to stop supplementing the cooling liquid under the condition of no leakage.
In a preferred embodiment, after S410, the method further includes:
and SA1, judging whether the current value of the leakage detection line is greater than a preset current threshold value.
If yes, enter SA2.
Specifically, since the leakage detection lines are at least two and parallel, when the server liquid cooling system has a leakage situation, the leaked cooling liquid forms a conductor between the leakage detection lines, so that the current of the leakage detection lines is increased and is larger than the stable current value of the leakage detection lines which are not in the leakage environment, namely the preset current threshold value, and the leakage situation is determined.
And SA2, sending an alarm notice to the management client based on the network serial port.
After the liquid leakage condition is judged to have occurred, a warning notice is sent to the management client based on the network serial port, so that a manager can timely process and confirm the liquid leakage condition of the server liquid cooling system.
Example three: corresponding to the first to second embodiments, the server liquid cooling system leakage processing apparatus provided by the present application will be described below. The apparatus may be implemented by hardware or software, or by a combination of hardware and software, which is not limited in this application.
In one example, the present application provides a server liquid cooling system weeping processing apparatus, the apparatus comprising:
the first obtaining module 510 is configured to obtain a current value of a leakage detection line, where the leakage detection line includes at least two leakage detection lines wound in parallel on an outer surface of the server liquid cooling system, and the leakage detection line is connected to a power supply for supplying power to the leakage detection line;
a second obtaining module 520, configured to obtain a predicted leakage amount based on a preset gray model and the current value;
and an executing module 530, configured to execute a corresponding liquid leakage processing method based on the predicted liquid leakage amount and a preset liquid leakage strategy.
In one embodiment, the server liquid cooling system comprises a liquid cooling head, a radiator and a liquid cooling circulation pipeline which communicates the liquid cooling head with the radiator to form a closed loop;
the liquid cooling head is arranged on the surface of a metal cover of the server CPU, and the liquid leakage detection line is wound on the surface of the liquid cooling circulation pipeline in parallel.
Preferably, the apparatus further comprises:
a determining module 540, configured to determine whether the current value of the leakage detection line is greater than a preset current threshold after the first obtaining module 510 obtains the current value of the leakage detection line;
a sending module 550, configured to send an alert notification to the management client based on the network serial port after the determination result of the determining module 540 is yes.
More preferably, the first obtaining module 510 is specifically configured to periodically obtain the current value of each leakage detecting line to obtain a current value sample set, where the obtaining period is less than or equal to 30s.
More preferably, the second obtaining module 520 includes:
a modifying unit 521, configured to modify the number of samples in the current value sample set to obtain a modified current sample set;
an obtaining unit 522, configured to obtain a predicted leakage amount based on the corrected current sample set and a preset gray model.
More preferably, the obtaining unit 522 includes:
a sorting subunit 5221, configured to sort all the corrected current values in the corrected current sample set to obtain a first current value sequence;
an accumulation generation subunit 5222, configured to generate and process the first current value sequence to obtain a second current value sequence;
a generation subunit 5223, configured to generate a predicted leakage amount based on a preset gray model and the second current value sequence.
More preferably, the preset gray model includes at least a gray differential equation:
X (0) (k)+aZ (1) (k) = b, k =2,3, ·, n; wherein: a and b are undetermined parameters;
the generation subunit 5223 includes:
a first calculating subunit 52231 for calculating a Z-based (1) (k)=αX (1) (k)+(1-α)X (1) (k-1) calculating the ash differential equation to obtain an intermediate differential equation:
Figure BDA0003776347300000101
wherein: alpha is a set parameter;
a second calculation subunit 52232, configured to solve the undetermined parameters a and b based on the ash differential equation;
a third calculation subunit 52233, configured to obtain the predicted leakage amount based on the values of the undetermined parameters a and b obtained by the solution and the intermediate differential equation.
In one embodiment, the execution module 530 includes:
a judging unit 531 for judging whether to open a liquid nitrogen release switching valve, which is communicated with the server liquid cooling system to supply a coolant thereto, based on the predicted leakage amount and a preset leakage policy;
a first executing unit 532, configured to execute opening of the liquid nitrogen release switch valve after the determination result of the determining unit 531 is yes;
a second executing unit 533, configured to close the liquid nitrogen release switch valve after the determination result of the determining unit 531 is negative.
Example four: corresponding to the first to third embodiments, the computer device provided by the present application will be described with reference to fig. 6. As shown in fig. 6 in one example, the present application provides a computer device comprising:
one or more processors; and
a memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:
obtaining the current value of a leakage detection line, wherein the leakage detection line has at least two lines which are wound on the outer surface of the server liquid cooling system in parallel, and the leakage detection line is connected with a power supply for supplying power to the leakage detection line;
obtaining a predicted leakage amount based on a preset gray model and the current value;
and executing a corresponding leakage treatment method based on the predicted leakage amount and a preset leakage strategy.
In a preferred embodiment, the server liquid cooling system includes a liquid cooling head, a radiator, and a liquid cooling circulation pipeline connecting the liquid cooling head and the radiator to form a closed loop;
the liquid cooling head is arranged on the surface of a metal cover of the server CPU, and the liquid leakage detection line is wound on the surface of the liquid cooling circulation pipeline in parallel.
The program instructions, when read and executed by the one or more processors, further perform the following:
judging whether the current value of the leakage detection line is larger than a preset current threshold value or not;
and if so, sending an alarm notice to the management client based on the network serial port.
The program instructions, when read and executed by the one or more processors, further perform the following:
and periodically acquiring the current value of each leakage detection line to obtain a current value sample set, wherein the acquisition period is less than or equal to 30s.
The program instructions, when read and executed by the one or more processors, further perform the following:
correcting the number of samples in the current value sample set to obtain a corrected current sample set;
and obtaining the predicted leakage amount based on the corrected current sample set and a preset gray model.
The program instructions, when read and executed by the one or more processors, further perform the following:
sorting all the corrected current values in the corrected current sample set to obtain a first current value sequence;
accumulating, generating and processing the first current value sequence to obtain a second current value sequence;
and generating a predicted leakage amount based on a preset gray model and the second current value sequence.
In a preferred embodiment, the predetermined gray model comprises at least a gray differential equation:
X (0) (k)+aZ (1) (k) = b, k =2,3, ·, n; wherein: a and b are undetermined parameters;
the program instructions, when read and executed by the one or more processors, further perform the following:
based on Z (1) (k)=αX (1) (k)+(1-α)X (1) (k-1) calculating the ash differential equation to obtain an intermediate differential equation:
Figure BDA0003776347300000121
wherein: alpha is a set parameter;
solving the undetermined parameters a and b based on the ash differential equation;
and obtaining the predicted leakage amount based on the values of the undetermined parameters a and b obtained by solving and the intermediate differential equation.
The program instructions, when read and executed by the one or more processors, further perform the following:
judging whether to open a liquid nitrogen release switch valve based on the predicted leakage amount and a preset leakage strategy, wherein the liquid nitrogen release switch valve is communicated with the server liquid cooling system to supply cooling liquid to the server liquid cooling system;
if yes, opening the liquid nitrogen release switch valve;
if not, closing the liquid nitrogen release switch valve.
When the program instructions are read and executed by the one or more processors, operations corresponding to the steps in the foregoing method embodiments may also be executed, which may refer to the above description and are not described herein again. Referring to fig. 6, which illustrates an architecture of a computer device that may include, in particular, a processor 610, a video display adapter 611, a disk drive 612, an input/output interface 613, a network interface 614, and a memory 620. The processor 610, the video display adapter 611, the disk drive 612, the input/output interface 613, the network interface 614, and the memory 620 may be communicatively connected by a communication bus 630.
The processor 610 may be implemented by a general Central Processing Unit (CPU), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solution provided in the present Application.
The Memory 620 may be implemented in the form of a Read Only Memory (ROM), a Random Access Memory (RAM), a static storage device, a dynamic storage device, or the like. The memory 620 may store an operating system 621 for controlling the operation of the computer device 600, a Basic Input Output System (BIOS) 622 for controlling low-level operations of the computer device 600. In addition, a web browser 623, data storage management 624, and icon font processing system 625, among others, may also be stored. The icon font processing system 625 may be an application program that implements the operations of the foregoing steps in this embodiment of the application. In summary, when the technical solution provided in the present application is implemented by software or firmware, the relevant program code is stored in the memory 620 and called to be executed by the processor 610.
The input/output interface 613 is used for connecting an input/output module to realize information input and output. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The network interface 614 is used for connecting a communication module (not shown in the figure) to realize the communication interaction between the device and other devices. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, bluetooth and the like).
Bus 630 includes a path that transfers information between the various components of the device, such as processor 610, video display adapter 611, disk drive 612, input/output interface 613, network interface 614, and memory 620.
In addition, the computer apparatus 600 may also obtain information of specific pickup conditions from the virtual resource object pickup condition information database 441 for performing condition judgment, and the like.
It should be noted that although the computer device 600 only shows the processor 610, the video display adapter 611, the disk drive 612, the input/output interface 613, the network interface 614, the memory 620, the bus 630 and the like, in a specific implementation, the computer device may also include other components necessary for normal operation. Furthermore, it will be understood by those skilled in the art that the apparatus described above may also include only the components necessary to implement the solution of the present application, and not necessarily all of the components shown in the figures.
Example five: in correspondence with the first to fourth embodiments, a computer-readable storage medium provided by the present application will be described below. In one example, the present application provides a computer program stored thereon, wherein the computer program when executed by a processor performs the steps of:
acquiring a current value of a leakage detection line, wherein at least two leakage detection lines are wound on the outer surface of the server liquid cooling system in parallel, and the leakage detection line is connected with a power supply for supplying power to the leakage detection line;
obtaining a predicted leakage amount based on a preset gray model and the current value;
and executing a corresponding leakage treatment method based on the predicted leakage amount and a preset leakage strategy.
The computer program when executed by a processor further realizes the steps of:
judging whether the current value of the leakage detection line is larger than a preset current threshold value or not;
and if so, sending an alarm notice to the management client based on the network serial port.
The program instructions, when read and executed by the one or more processors, further perform the following:
and periodically acquiring the current value of each leakage detection line to obtain a current value sample set, wherein the acquisition period is less than or equal to 30s.
The computer program when executed by a processor further realizes the steps of:
correcting the number of samples in the current value sample set to obtain a corrected current sample set;
and obtaining the predicted leakage amount based on the corrected current sample set and a preset gray model.
The program instructions, when read and executed by the one or more processors, further perform the following:
sequencing all the corrected current values in the corrected current sample set to obtain a first current value sequence;
accumulating, generating and processing the first current value sequence to obtain a second current value sequence;
and generating a predicted leakage amount based on a preset gray model and the second current value sequence.
In a preferred embodiment, the predetermined gray model comprises at least a gray differential equation:
X (0) (k)+aZ (1) (k) = b, k =2,3, ·, n; wherein: a and b are undetermined parameters;
the computer program when executed by a processor further realizes the steps of:
based on Z (1) (k)=αX (1) (k)+(1-α)X (1) (k-1) calculating the ash differential equation to obtain an intermediate differential equation:
Figure BDA0003776347300000151
wherein: alpha is a set parameter;
solving the undetermined parameters a and b based on the gray differential equation;
and obtaining the predicted leakage amount based on the values of the undetermined parameters a and b obtained by solving and the intermediate differential equation.
The computer program when executed by a processor further realizes the steps of:
judging whether to open a liquid nitrogen release switch valve based on the predicted leakage amount and a preset leakage strategy, wherein the liquid nitrogen release switch valve is communicated with the server liquid cooling system to supply cooling liquid to the server liquid cooling system;
if yes, opening the liquid nitrogen release switch valve;
if not, closing the liquid nitrogen release switch valve.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a cloud server, or a network device) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. The above-described embodiments of the apparatus are merely illustrative, wherein the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
It is further to be understood that the terms "first", "second", and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or imply the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.
It should be understood that the above-mentioned embodiments are only illustrative of the technical concepts and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All modifications made in accordance with the spirit of the main technical scheme of the invention are intended to be covered by the scope of the invention.

Claims (10)

1. A liquid leakage processing method for a server liquid cooling system is characterized by comprising the following steps:
obtaining the current value of a leakage detection line, wherein the leakage detection line has at least two lines which are wound on the outer surface of the server liquid cooling system in parallel, and the leakage detection line is connected with a power supply for supplying power to the leakage detection line;
obtaining a predicted leakage amount based on a preset gray model and the current value;
and executing a corresponding leakage treatment method based on the predicted leakage amount and a preset leakage strategy.
2. The server liquid cooling system leakage handling method of claim 1, wherein the server liquid cooling system comprises a liquid cooling head, a radiator and a liquid cooling circulation line communicating the liquid cooling head and the radiator to form a closed loop;
the liquid cooling head is arranged on the surface of a metal cover of the server CPU, and the liquid leakage detection line is wound on the surface of the liquid cooling circulation pipeline in parallel.
3. The method for processing the liquid leakage of the liquid cooling system of the server according to claim 2, wherein after obtaining the current value of the leakage detection line, the method further comprises:
judging whether the current value of the leakage detection line is larger than a preset current threshold value or not;
and if so, sending an alarm notice to the management client based on the network serial port.
4. The method for processing the liquid leakage of the liquid cooling system of the server according to claim 2 or 3, wherein the obtaining the current value of the leakage detection line comprises:
and periodically acquiring the current value of each leakage detection line to obtain a current value sample set, wherein the acquisition period is less than or equal to 30s.
5. The server liquid cooling system leakage handling method of claim 4, wherein said obtaining a predicted leakage amount based on a preset gray model and said current value comprises:
correcting the number of samples in the current value sample set to obtain a corrected current sample set;
and obtaining a predicted leakage amount based on the corrected current sample set and a preset gray model.
6. The method as claimed in claim 5, wherein said obtaining a predicted amount of leakage based on said modified current sample set and a predetermined gray model comprises:
sorting all the corrected current values in the corrected current sample set to obtain a first current value sequence;
accumulating, generating and processing the first current value sequence to obtain a second current value sequence;
and generating a predicted leakage amount based on the preset gray model and the second current value sequence.
7. The server liquid cooling system leakage handling method of claim 6, wherein the preset gray model comprises at least a gray differential equation:
X (0) (k)+aZ (1) (k) = b, k =2,3, ·, n; wherein: a and b are undetermined parameters;
the generating of the predicted leakage amount based on the preset gray model and the second current value sequence comprises:
based on Z (1) (k)=αX (1) (k)+(1-α)X (1) (k-1) calculating the ash differential equation to obtain an intermediate differential equation:
Figure FDA0003776347290000021
wherein: alpha is a set parameter;
solving the undetermined parameters a and b based on the ash differential equation;
and obtaining the predicted leakage amount based on the values of the undetermined parameters a and b obtained by solving and the intermediate differential equation.
8. The server liquid cooling system leakage handling method of claim 1, wherein the performing a corresponding leakage handling method based on the predicted leakage amount and a preset leakage policy comprises:
judging whether to open a liquid nitrogen release switch valve based on the predicted leakage amount and a preset leakage strategy, wherein the liquid nitrogen release switch valve is communicated with the server liquid cooling system to supply cooling liquid to the server liquid cooling system;
if yes, opening the liquid nitrogen release switch valve;
if not, closing the liquid nitrogen release switch valve.
9. The utility model provides a server liquid cooling system weeping processing apparatus which characterized in that, the device includes:
the server liquid cooling system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring the current value of a leakage detection line, the leakage detection line is provided with at least two leakage detection lines which are wound on the outer surface of the server liquid cooling system in parallel, and the leakage detection line is connected with a power supply for supplying power to the leakage detection line;
the second acquisition module is used for acquiring the predicted leakage amount based on a preset gray model and the current value;
and the execution module is used for executing a corresponding leakage treatment method based on the predicted leakage amount and a preset leakage strategy.
10. A computer device, the device comprising:
one or more processors; and
a memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform the method of any of claims 1-8.
CN202210917757.1A 2022-08-01 2022-08-01 Server liquid cooling system leakage processing method and device and computer equipment Pending CN115357421A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117033063A (en) * 2023-10-08 2023-11-10 浪潮(山东)计算机科技有限公司 Server liquid leakage processing method, system, device, electronic equipment and medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117033063A (en) * 2023-10-08 2023-11-10 浪潮(山东)计算机科技有限公司 Server liquid leakage processing method, system, device, electronic equipment and medium
CN117033063B (en) * 2023-10-08 2024-02-09 浪潮(山东)计算机科技有限公司 Server liquid leakage processing method, system, device, electronic equipment and medium

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