CN116029103A - Liquid cooling system protection method and device, electronic equipment and storage medium - Google Patents
Liquid cooling system protection method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a liquid cooling system protection method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: aiming at the target liquid cooling system, generating a target data model of the target liquid cooling system according to the basic curves and the historical operation data of all components in the target liquid cooling system; monitoring the target liquid cooling system in operation, and acquiring current operation data of the target liquid cooling system in operation; inputting the current operation data into the target data model to obtain an operation result output by the target data model; and taking protective measures corresponding to the operation result for the target liquid cooling system according to the operation result. According to the method and the device, each component in the target liquid cooling system can be monitored, each component has own monitoring standard, when any component in the target liquid cooling system fails, alarming and collecting protection measures are timely carried out, the protection accuracy of the target liquid cooling system is improved, and property loss is avoided.
Description
Technical Field
The present application relates to the technical field of liquid cooling systems, and in particular, to a method, an apparatus, an electronic device, and a storage medium for protecting a liquid cooling system.
Background
With the rapid development of the technology level, the burden of various processing equipment is also rapidly increased, and a large amount of heat is brought to the processing equipment, and if the heat cannot be timely released, the service life of the processing equipment is greatly influenced. In order to remove heat generated by the treatment equipment, the liquid cooling system is compliant and takes away the heat in a liquid flow mode.
In order to ensure the safe use of the liquid cooling system, corresponding protection measures are adopted for the liquid cooling system. In the prior art, the protection of the liquid cooling system is based on the limit working conditions of certain components in the liquid cooling system. Because the liquid cooling system has more components, the mode can take protective measures only when the deadline working condition of each component is reached, so that the protection accuracy is insufficient and the current working requirements cannot be met.
Disclosure of Invention
In view of the foregoing, an object of the present application is to provide a method, an apparatus, an electronic device, and a storage medium for protecting a liquid cooling system, which can more accurately protect the liquid cooling system.
In a first aspect, an embodiment of the present application provides a method for protecting a liquid cooling system, where the method includes:
aiming at a target liquid cooling system, generating a target data model of the target liquid cooling system according to a basic curve and historical operation data of each component in the target liquid cooling system;
monitoring the target liquid cooling system in operation, and acquiring current operation data of the target liquid cooling system in operation;
inputting the current operation data into the target data model to obtain an operation result output by the target data model;
and taking protective measures corresponding to the operation result for the target liquid cooling system according to the operation result.
In some technical solutions of the present application, the generating, according to the base curve and the historical operation data of each component in the target liquid cooling system, a target data model of the target liquid cooling system includes:
generating a target sub-data model of each component according to the basic curve and the historical operation data of each component in the target liquid cooling system;
and integrating the target sub-data models of all the components in the target liquid cooling system to obtain a target data model of the target liquid cooling system.
In some technical schemes of the application, each component corresponds to a plurality of types of historical operation data and a plurality of types of basic curves; the method targets the sub-data model by:
according to each type of historical operation data of each component in the target liquid cooling system, determining intermediate data of the type of historical operation data;
generating a historical operation curve of each component in the target liquid cooling system according to the basic curve of the component and the intermediate data corresponding to the basic curve;
and integrating the historical operation curves of the components under each type to obtain the target sub-data model of the components.
In some technical solutions of the present application, the method further includes:
responding to the interval configuration operation, and generating a corresponding warning interval on each historical operation curve of the target sub-data model.
In some technical solutions of the present application, the inputting the current operation data into the target data model to obtain an operation result output by the target data model includes:
inputting the current operation data into the target data model, wherein the target data model compares the historical operation curves corresponding to the current operation data in the corresponding target sub-data model;
and determining an operation result according to the range of each warning interval in the historical operation curve and the current operation data.
In a second aspect, an embodiment of the present application provides a device for protecting a liquid cooling system, where the device includes:
the generating module is used for aiming at a target liquid cooling system, and generating a target data model of the target liquid cooling system according to the basic curves and the historical operation data of all components in the target liquid cooling system;
the acquisition module is used for monitoring the target liquid cooling system in operation and acquiring current operation data of the target liquid cooling system in operation;
the first processing model is used for inputting the current operation data into the target data model to obtain an operation result output by the target data model;
and the second processing model is used for taking protective measures corresponding to the operation result for the target liquid cooling system according to the operation result.
In some technical solutions of the present application, the generating module is further configured to generate a target sub-data model of each component according to a base curve and historical operation data of each component in the target liquid cooling system;
and integrating the target sub-data models of all the components in the target liquid cooling system to obtain a target data model of the target liquid cooling system.
In some technical solutions of the present application, the generating module is further configured to: according to each type of historical operation data of each component in the target liquid cooling system, determining intermediate data of the type of historical operation data;
generating a historical operation curve of each component in the target liquid cooling system according to the basic curve of the component and the intermediate data corresponding to the basic curve;
and integrating the historical operation curves of the components under each type to obtain the target sub-data model of the components.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the steps of the method for protecting a liquid cooling system are implemented when the processor executes the computer program.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium having a computer program stored thereon, where the computer program when executed by a processor performs the steps of the method for protecting a liquid cooling system described above.
The technical scheme provided by the embodiment of the application can comprise the following beneficial effects:
aiming at a target liquid cooling system, generating a target data model of the target liquid cooling system according to a basic curve and historical operation data of each component in the target liquid cooling system; monitoring the target liquid cooling system in operation, and acquiring current operation data of the target liquid cooling system in operation; inputting the current operation data into the target data model to obtain an operation result output by the target data model; and taking protective measures corresponding to the operation result for the target liquid cooling system according to the operation result. According to the method, the basic curve and the historical operation data of each component in the target liquid cooling system are analyzed, the target sub-data model of each component is generated, the target data model of the target liquid cooling system is further generated, each component in the target liquid cooling system can be monitored, each component has own monitoring standard, and when any component in the target liquid cooling system fails, the monitoring standard gives an alarm in time and acquires protection measures, so that the protection accuracy of the target liquid cooling system is improved, and property loss is avoided.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for protecting a liquid cooling system according to an embodiment of the present application;
FIG. 2 shows a schematic diagram of one prior art provided by an embodiment of the present application;
FIG. 3 shows another prior art schematic provided by an embodiment of the present application;
FIG. 4 is a schematic diagram of a device for protecting a liquid cooling system according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the accompanying drawings in the present application are only for the purpose of illustration and description, and are not intended to limit the protection scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. A flowchart, as used in this application, illustrates operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. Moreover, one or more other operations may be added to the flow diagrams and one or more operations may be removed from the flow diagrams as directed by those skilled in the art.
In addition, the described embodiments are only some, but not all, of the embodiments of the present application. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that the term "comprising" will be used in the embodiments of the present application to indicate the presence of the features stated hereinafter, but not to exclude the addition of other features.
The liquid cooling system is characterized in that: the system is operated continuously for 7 x 24 hours, in multiple operation states (light load, heavy load, full load and overload), small modules are controlled precisely (the capacity of single elements is small), seasonal features are obvious (such as extremely low liability rate in winter and extremely high load rate in summer), extreme working condition allowance is large (such as extremely high temperature in summer, the damage rate of the system and elements thereof exceeds 15 percent, the comprehensive efficiency does not exceed 80, and even large overload operation conditions occur). In combination with the above characteristics, when many elements are designed and selected, the elements need to be selected according to the limit working conditions to ensure the reliable and stable operation of the system, but other problems are brought at the same time, under the normal operation of the system, the element allowance is large, and when the elements fail, the protection action condition of the elements is not reached, so that the elements cannot act in time. Secondly, due to the characteristics of the element and the uncertainty of an interface between the element and a user, when a certain element fails, the protection action is only carried out, feedback is not carried out on a branch or a main system, and when the failure is large, the protection action of the element cannot protect the element, the impact of the system and even the paralysis of the system are caused. For example, when the frequency converter fails, the pump may not stop or even fly, the frequency converter cannot be protected due to failure, at this time, the system can only passively wait for the occurrence of short circuit to generate protection action, and when the short circuit action occurs, the tripping of the branch and even the system is down. Meanwhile, according to the characteristics of different elements and different running times, the aging and damage of the elements are different, the finally embodied fault probabilities are also different, and the fault probabilities of different elements need to be calculated respectively.
The current industry of electrical protection mainly depends on the physical property of solidification of each element, such as protection action of a breaker, which is realized by thermomagnetic tripping, is a solidification curve (shown in the following figure 2), and also, protection action of a frequency converter, such as protection action of a frequency converter, is realized by a solidification characteristic curve (shown in the following figure 3), and the protection of the equipment is realized, wherein, although the self definition of partial functions can be realized by setting, the key protection is determined by the solidification curve. The protection characteristics of the solidification cannot be customized according to the system, the customization cannot be carried out according to different conditions, meanwhile, the environmental factors and the damage aging of long-time operation are considered, the damage rate of the performance of the elements cannot be qualitatively and quantitatively judged, and finally, for a liquid cooling system, the response speed and the response precision of the existing protection cannot meet the requirements, and the existing protection can only be passively replaced after the problems occur, so that serious hidden danger is left.
Based on this, embodiments of the present application provide a method, an apparatus, an electronic device, and a storage medium for protecting a liquid cooling system, and the following description is made by using embodiments.
Fig. 1 shows a schematic flow chart of a method for protecting a liquid cooling system according to an embodiment of the present application, where the method includes steps S101 to S104; specific:
s101, aiming at a target liquid cooling system, generating a target data model of the target liquid cooling system according to a basic curve and historical operation data of each component in the target liquid cooling system;
s102, monitoring the target liquid cooling system in operation, and acquiring current operation data of the target liquid cooling system in operation;
s103, inputting the current operation data into the target data model to obtain an operation result output by the target data model;
s104, according to the operation result, taking protective measures corresponding to the operation result for the target liquid cooling system.
According to the method, the basic curve and the historical operation data of each component in the target liquid cooling system are analyzed, the target sub-data model of each component is generated, the target data model of the target liquid cooling system is further generated, each component in the target liquid cooling system can be monitored, each component has own monitoring standard, and when any component in the target liquid cooling system fails, the monitoring standard gives an alarm in time and acquires protection measures, so that the protection accuracy of the target liquid cooling system is improved, and property loss is avoided.
Some embodiments of the present application are described in detail below. The following embodiments and features of the embodiments may be combined with each other without conflict.
S101, aiming at a target liquid cooling system, generating a target data model of the target liquid cooling system according to a basic curve and historical operation data of each component in the target liquid cooling system.
At present, various liquid cooling systems exist in the market, the main working principle of which is to use a flowing mode of heat dissipation liquid (water and the like) to remove heat, and each type of liquid cooling system is composed of a plurality of components. For the purpose of description, the liquid cooling system to be protected in the embodiments of the present application is referred to as a target liquid cooling system.
In order to protect the target liquid cooling system more comprehensively and accurately, the embodiment of the application sets an independent early warning condition for each component in the target liquid cooling system. When the early warning condition is set for each component, the embodiment of the application firstly acquires the basic curve and the historical operation data of each component in the target liquid cooling system.
The base curve here is a curve of the component itself when shipped, for example, a curve of a current of a certain component with temperature, a curve of a voltage of a certain component with temperature, or the like. The operational data (including historical operational data and subsequent current operational data) characterizes component environment data and attribute data. The environment data comprise the operating temperature, operating pressure and the like of the components, and the attribute data comprise the electric power parameters such as component voltage, current and the like.
According to the embodiment of the application, the target data model of the target liquid cooling system is generated by analyzing the basic curve and the historical operation data of each component.
As an optional embodiment in the embodiments of the present application, when the target data model of the target liquid cooling system is generated, the embodiments of the present application first generate the target sub-data model of each component in the target liquid cooling system, and then generate the target data model of the target liquid cooling system.
The specific process is as follows: generating a target sub-data model of each component according to the basic curve and the historical operation data of each component in the target liquid cooling system; and integrating the target sub-data models of all the components in the target liquid cooling system to obtain a target data model of the target liquid cooling system.
Further, each component corresponds to a plurality of types of historical operating data and a plurality of types of base curves; the method targets the sub-data model by:
according to each type of historical operation data of each component in the target liquid cooling system, determining intermediate data of the type of historical operation data;
generating a historical operation curve of each component in the target liquid cooling system according to the basic curve of the component and the intermediate data corresponding to the basic curve;
and integrating the historical operation curves of the components under each type to obtain the target sub-data model of the components.
In the embodiment of the application, the target liquid cooling system comprises a plurality of components, and each component further comprises a plurality of types of historical operation data. The type herein is to distinguish between historical operating data, such as historical operating temperature and historical operating pressure, for example. On the other hand, when each component leaves the factory, each manufacturer can measure the component to obtain the basic curve of the component. Because each component has a plurality of attributes or characteristics, the component needs to be measured for a plurality of times, and a plurality of types of basic curves of the component are obtained. The types herein are differentiation of the base curves, e.g. the voltage versus temperature curve is one type and the liquid flow versus temperature curve is another type. When each manufacturer measures the components, only individual data are generally measured, namely, less data are contained on the basic curves. For example, the base curve only contains 20 ° and 30 ° which are voltage values of a certain component, and the component is clearly not accurate enough to be monitored only by the two values. By analyzing the historical operation data (the historical operation temperature and the historical operation voltage) of the component, the application expands the original basic curve with only 20 DEG and 30 DEG temperature values to the historical operation curve with 20 DEG, 22 DEG, 24 DEG, 26 DEG and 30 DEG (the number of the data values can be automatically selected according to the needs when the application is carried out).
In another aspect, the types of the base curves of the components are fewer, and in order to monitor the components more accurately, the embodiment of the application also generates a historical operation curve with different types from the base curve according to the base curve and the historical operation data. Specifically, intermediate data corresponding to the historical operation data is generated for the historical operation curve, and then the historical operation curve is generated based on the intermediate data and the base curve. For example, the target liquid cooling system only has a basic curve of the component changing along with the temperature, and the embodiment of the application analyzes the historical operation data to determine the influence of the operation time on the component, and then combines the operation time with the basic curve of the component changing along with the temperature, so that the damage rate of the component can be obtained, and then a change curve of the conversion rate can be generated.
After each historical operation curve of the component is generated, integrating all the historical operation curves together to obtain an integrated target sub-data model of the component. That is, the target sub-data model includes a plurality of curves after integration. And after integration, the multiple curves are parallel, crossed and the like, and the curves are combined together to be used as a monitoring standard of the component.
As an optional embodiment in the embodiments of the present application, in order to enable more intelligent monitoring, in the embodiments of the present application, an alert interval is further set on each curve in the target sub-data model, where an alert interval user alerts the current running data. The method comprises the following steps: responding to the interval configuration operation, and generating a corresponding warning interval on each historical operation curve of the target sub-data model.
After the target data model of the target liquid cooling system is obtained, the embodiment of the application can monitor the target liquid cooling system in operation based on the target data model, so that the purpose of automatic alarm is achieved. Specifically, the target liquid cooling system in operation is monitored, and current operation data of the target liquid cooling system in operation is obtained. Inputting the current operation data into the target data model, wherein the target data model compares the historical operation curves corresponding to the current operation data in the corresponding target sub-data model; and determining an operation result according to the range of each warning interval in the historical operation curve and the current operation data. And taking protective measures corresponding to the operation result for the target liquid cooling system according to the operation result.
After the current operation data of the current operation target liquid cooling system is obtained, the current operation data is compared with each warning interval in the target data model. And when the current operation data are located in different warning intervals, different operation results are generated. The operation results here include whether to alarm or not, alarm level, etc. In order to be capable of processing alarm events more efficiently, corresponding protection measures are further provided for each alarm interval. After whether the alarm is carried out or not and the alarm level is obtained, corresponding protection measures can be obtained, and the target liquid cooling system can be effectively protected by timely taking the corresponding protection measures, so that property loss is avoided.
When the embodiment of the application is specifically implemented, the intelligent protection module can be manufactured into a liquid cooling system intelligent protection module (KPM), and mainly comprises a KPM main control board, an SD card, a communication interface, a sensor and a storage capacitor. A database is built in the main control board to perform data configuration; the SD card stores data; the communication interface is in butt joint with different equipment in different communication protocols; the sensor collects monitoring point data; the electricity storage capacitor ensures the normal operation of the system within half an hour under the power failure.
The KPM built-in database covers equipment data of different models, simultaneously contains technical data of different brands and models of common elements, and can customize data of different types. The component data are analyzed through combination of different environments and working conditions of the liquid cooling system, the operation working conditions of equipment are classified firstly, intelligent analysis and judgment are carried out on the data, and finally feedback is intelligently output.
Defining a database, carrying out data input on the KPM database, establishing a special data model, predefining various conditions, carrying out intelligent combination, and judging the final state, wherein the main definition contents are as follows:
the working condition of the cabinet is defined, wherein less than 30% is light load, 30% -80% is heavy load, 80% -100% is full load, and 100% -150% is overload.
The element state is defined as normal within + -5%, abnormal above + -5%, protected above + -10%, and failed above 20%.
The operation environment is defined as normal within 30 ℃, severe within 40 ℃ and severe above 40 ℃.
The service life of the element is defined as good within 1 year, normal within 3 years, old within 5 years and more than 5 years for replacement.
The element breakage is defined as good within 5%, slight within 10%, moderate within 15%, and severe above 15%.
According to the detection data of the sensor, the data of each element is automatically analyzed through intelligent analysis of a data model, the prediction data of the element is automatically calculated according to different environments and working conditions, the state of the element is judged according to the actual operation data of the element, and feedback is given to other units or systems.
For example, when the frequency converter works abnormally, the pump cannot be controlled, so that the pump state is abnormal, overspeed and galloping phenomena occur, the system trips or is down, and when the KPM module is connected, the faults can be avoided.
When the frequency converter is abnormal, the state of the pump is normal, and the system is judged to be abnormal but attention is paid or manual maintenance is required;
when the frequency converter is abnormal, the state of the pump is abnormal, the branch is stopped, the standby path is operated, and meanwhile, an abnormal branch stop signal is output.
When the frequency converter is protected, the frequency converter is immediately stopped, the pump is stopped at the same time, and a branch protection signal is output at the same time.
When the frequency converter is protected, if the data of the pump do not enter the shutdown process according to the predicted data, the power supply of the branch system is immediately disconnected, and meanwhile, a branch protection disconnection signal is output.
When the frequency converter is in fault, the branch power supply is immediately disconnected, and a branch fault disconnection signal is output.
Building a target data model: the system and element states are first predefined as basic computing conditions.
And secondly, carrying out secondary predefining on different combinations of different states, and carrying out association definition of different elements to form a primary model foundation. And simultaneously, inputting data of all equipment and elements into a model, taking the model as a basic basis, and defining different real-time data of the environment, the system and the elements through a communication interface and a sensor and combining the state definition of the system and the elements to generate a basic prototype of a prediction result.
And comparing the model data of the predicted result of the element with the actual data, and outputting a healthy operation result of the system when the data are consistent. If the data is inconsistent but within the acceptable range, the abnormal data is identified, the state of the element is traced back, self-repairing treatment is carried out (the branch is tentatively put into a standby branch, original factory data is read, automatic test and adjustment test are carried out, if the corresponding relation between input and output is inconsistent with the original data, the deviation gain is automatically modified until the element data is consistent with the metadata, the system is switched back to the branch), if the abnormal state cannot be repaired, the branch is tentatively switched to the standby branch, and the abnormal state of the element is output.
The data analysis is that the model processes different real-time input data, analyzes the type, attribution element and attribution system of the data, puts the data into a specific input port in combination with predefined content, and obtains a result through the model.
The data model is a simulation and calculation model, and when real-time data is input, a specific result is output. According to the predefined state, the original factory data is called, the state of the element and the feedback data are calculated, and the state and the feedback data are compared with the output result to obtain the final state result.
Fig. 4 shows a schematic structural diagram of a device for protecting a liquid cooling system according to an embodiment of the present application, where the device includes:
the generating module is used for aiming at a target liquid cooling system, and generating a target data model of the target liquid cooling system according to the basic curves and the historical operation data of all components in the target liquid cooling system;
the acquisition module is used for monitoring the target liquid cooling system in operation and acquiring current operation data of the target liquid cooling system in operation;
the first processing model is used for inputting the current operation data into the target data model to obtain an operation result output by the target data model;
and the second processing model is used for taking protective measures corresponding to the operation result for the target liquid cooling system according to the operation result.
The generating a target data model of the target liquid cooling system according to the basic curves and the historical operation data of all components in the target liquid cooling system comprises the following steps:
generating a target sub-data model of each component according to the basic curve and the historical operation data of each component in the target liquid cooling system;
and integrating the target sub-data models of all the components in the target liquid cooling system to obtain a target data model of the target liquid cooling system.
Each component corresponds to a plurality of types of historical operation data and a plurality of types of base curves; the method targets the sub-data model by:
according to each type of historical operation data of each component in the target liquid cooling system, determining intermediate data of the type of historical operation data;
generating a historical operation curve of each component in the target liquid cooling system according to the basic curve of the component and the intermediate data corresponding to the basic curve;
and integrating the historical operation curves of the components under each type to obtain the target sub-data model of the components.
The device also comprises a response module, wherein the response module is used for responding to the interval configuration operation and generating a corresponding warning interval on each historical operation curve of the target sub-data model.
The step of inputting the current operation data into the target data model to obtain an operation result output by the target data model comprises the following steps:
inputting the current operation data into the target data model, wherein the target data model compares the historical operation curves corresponding to the current operation data in the corresponding target sub-data model;
and determining an operation result according to the range of each warning interval in the historical operation curve and the current operation data.
As shown in fig. 5, an embodiment of the present application provides an electronic device, configured to perform a method for protecting a liquid cooling system in the present application, where the device includes a memory, a processor, a bus, and a computer program stored in the memory and capable of running on the processor, where the processor implements steps of the method for protecting a liquid cooling system when executing the computer program.
Specifically, the memory and the processor may be general-purpose memories and processors, and are not particularly limited herein, and the above-described method for protecting a liquid cooling system can be executed when the processor runs a computer program stored in the memory.
Corresponding to the method for protecting the liquid cooling system in the application, the embodiment of the application also provides a computer readable storage medium, and a computer program is stored on the computer readable storage medium, and the computer program executes the steps of the method for protecting the liquid cooling system when being run by a processor.
Specifically, the storage medium can be a general-purpose storage medium, such as a removable disk, a hard disk, or the like, and when the computer program on the storage medium is executed, the above-described method for protecting a liquid cooling system can be performed.
In the embodiments provided herein, it should be understood that the disclosed systems and methods may be implemented in other ways. The system embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical functional division, and there may be additional divisions in actual implementation, and e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, system or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments provided in the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It should be noted that: like reference numerals and letters in the following figures denote like items, and thus once an item is defined in one figure, no further definition or explanation of it is required in the following figures, and furthermore, the terms "first," "second," "third," etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the foregoing examples are merely specific embodiments of the present application, and are not intended to limit the scope of the present application, but the present application is not limited thereto, and those skilled in the art will appreciate that while the foregoing examples are described in detail, the present application is not limited thereto. Any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or make equivalent substitutions for some of the technical features within the technical scope of the disclosure of the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the corresponding technical solutions. Are intended to be encompassed within the scope of this application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method of protecting a liquid cooling system, the method comprising:
aiming at a target liquid cooling system, generating a target data model of the target liquid cooling system according to a basic curve and historical operation data of each component in the target liquid cooling system;
monitoring the target liquid cooling system in operation, and acquiring current operation data of the target liquid cooling system in operation;
inputting the current operation data into the target data model to obtain an operation result output by the target data model;
and taking protective measures corresponding to the operation result for the target liquid cooling system according to the operation result.
2. The method of claim 1, wherein generating the target data model of the target liquid cooling system based on the base curves and the historical operating data of the components in the target liquid cooling system comprises:
generating a target sub-data model of each component according to the basic curve and the historical operation data of each component in the target liquid cooling system;
and integrating the target sub-data models of all the components in the target liquid cooling system to obtain a target data model of the target liquid cooling system.
3. The method of claim 2, wherein each component corresponds to a plurality of types of historical operating data and a plurality of types of base curves; the method targets the sub-data model by:
according to each type of historical operation data of each component in the target liquid cooling system, determining intermediate data of the type of historical operation data;
generating a historical operation curve of each component in the target liquid cooling system according to the basic curve of the component and the intermediate data corresponding to the basic curve;
and integrating the historical operation curves of the components under each type to obtain the target sub-data model of the components.
4. A method according to claim 3, characterized in that the method further comprises:
responding to the interval configuration operation, and generating a corresponding warning interval on each historical operation curve of the target sub-data model.
5. The method of claim 4, wherein said inputting the current operational data into the target data model to obtain operational results output by the target data model comprises:
inputting the current operation data into the target data model, wherein the target data model compares the historical operation curves corresponding to the current operation data in the corresponding target sub-data model;
and determining an operation result according to the range of each warning interval in the historical operation curve and the current operation data.
6. A device for protecting a liquid cooling system, the device comprising:
the generating module is used for aiming at a target liquid cooling system, and generating a target data model of the target liquid cooling system according to the basic curves and the historical operation data of all components in the target liquid cooling system;
the acquisition module is used for monitoring the target liquid cooling system in operation and acquiring current operation data of the target liquid cooling system in operation;
the first processing model is used for inputting the current operation data into the target data model to obtain an operation result output by the target data model;
and the second processing model is used for taking protective measures corresponding to the operation result for the target liquid cooling system according to the operation result.
7. The apparatus of claim 6, wherein the generating module is further configured to generate a target sub-data model for each component according to the base curve and the historical operating data for each component in the target liquid cooling system;
and integrating the target sub-data models of all the components in the target liquid cooling system to obtain a target data model of the target liquid cooling system.
8. The apparatus of claim 7, wherein the generating module is further configured to: according to each type of historical operation data of each component in the target liquid cooling system, determining intermediate data of the type of historical operation data;
generating a historical operation curve of each component in the target liquid cooling system according to the basic curve of the component and the intermediate data corresponding to the basic curve;
and integrating the historical operation curves of the components under each type to obtain the target sub-data model of the components.
9. An electronic device, comprising: a processor, a memory and a bus, said memory storing machine readable instructions executable by said processor, said processor and said memory communicating over the bus when the electronic device is running, said machine readable instructions when executed by said processor performing the steps of the method of liquid cooling system protection according to any one of claims 1 to 5.
10. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, which when executed by a processor performs the steps of the method of liquid cooling system protection according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211633152.6A CN116029103A (en) | 2022-12-19 | 2022-12-19 | Liquid cooling system protection method and device, electronic equipment and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211633152.6A CN116029103A (en) | 2022-12-19 | 2022-12-19 | Liquid cooling system protection method and device, electronic equipment and storage medium |
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| CN116029103A true CN116029103A (en) | 2023-04-28 |
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