CN113608596B - Intelligent cooling method and system for server - Google Patents
Intelligent cooling method and system for server Download PDFInfo
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- G06F1/16—Constructional details or arrangements
- G06F1/20—Cooling means
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Abstract
According to the intelligent cooling method and system for the server, the target temperature is obtained according to the using temperature strategy corresponding to the temperature information of the cooling times of the temperature description characteristic vector, the temperature category is judged according to the permission of the temperature cooling instruction according to the target temperature, the using temperature strategy is cooled according to the temperature description characteristic vector and the changing state of the temperature description characteristic vector counted in the temperature detection process, so that the target temperature is obtained, the using temperature strategy of the cooling times of the temperature information according to the judgment of the temperature category and the statistics of the parameters in the first temperature process is achieved, the using temperature strategy of the cooling times of the temperature information is cooled to the target temperature more suitable for the temperature category and the temperature detection, and the purpose of loading the temperature cooling instruction is achieved, and the cooling effect is improved by cooling the temperature key according to the temperature of the cooling times of the temperature category cooling times of the temperature information.
Description
Technical Field
The application relates to the technical field of data processing, in particular to an intelligent cooling method and system for a server.
Background
Along with the continuous progress of informatization, the continuous increment of related information volume brings huge workload to the server, so that the server generates huge heat, and the server is possibly paralyzed due to overlarge heating value.
Disclosure of Invention
In view of the above, the application provides a server intelligent cooling method and a system.
In a first aspect, a method for intelligently cooling a server is provided, including:
on the premise of receiving detection permission of the temperature data of the real-time server, acquiring temperature description feature vectors corresponding to secondary temperature information contained in the currently acquired target temperature information;
determining the temperature category of the target temperature information according to the temperature description feature vectors corresponding to the secondary temperature information, and generating a sample temperature index queue matched with the target temperature information;
On the premise that the temperature type of the target temperature information indicates a preset temperature, loading temperature detection according to a use temperature strategy configured for each secondary temperature information;
in the process of loading the temperature detection, counting the change states of the temperature description feature vectors corresponding to the secondary temperature information;
On the premise that the change state of the temperature description characteristic vector reaches a cooling condition, cooling the using temperature strategy according to the change state of the temperature description characteristic vector to obtain a target temperature;
and loading a temperature cooling command according to the target temperature of each secondary temperature information.
Further, the determining the temperature category of the target temperature information according to the temperature description feature vector corresponding to each secondary temperature information includes:
Calculating a temperature characteristic vector to be selected and a standard temperature characteristic vector of the target temperature information according to the temperature description characteristic vector of the secondary temperature information;
On the premise that the temperature description feature vector corresponding to the secondary temperature information is not greater than the standard temperature feature vector and the temperature description feature vector is not greater than a first preset vector, determining that the secondary temperature information corresponding to the temperature description feature vector is non-to-be-selected secondary temperature information, wherein the non-to-be-selected secondary temperature information is secondary temperature information which is not configured with temperature information label information;
On the premise that the temperature description feature vector corresponding to the secondary temperature information is larger than the standard temperature feature vector or the temperature description feature vector is larger than the first preset vector, determining that the secondary temperature information is secondary temperature information to be selected, wherein the secondary temperature information to be selected is secondary temperature information configured with temperature information label information;
and determining the temperature category of the target temperature information according to the temperature characteristic vector to be selected and the number of the temperature information to be selected of the target temperature information.
Further, the determining the temperature category of the target temperature information according to the candidate temperature feature vector of the target temperature information and the number of candidate sub-temperature information includes:
On the premise that the temperature description characteristic vector corresponding to the temperature information to be selected is larger than a first cosine value and the identification result of the standard temperature characteristic vector, determining the temperature information to be selected as target temperature information to be selected, wherein the target temperature information to be selected is configured with a target temperature information label;
and on the premise that the temperature characteristic vector to be selected is not greater than a second preset vector and the number of the target temperature information to be selected is not greater than a third preset vector, determining that the temperature category of the target temperature information is the preset temperature.
Further, the generating a sample temperature index queue that matches the target temperature information includes:
on the premise that the secondary temperature information is the secondary temperature information to be selected, taking a first temperature value as a temperature value corresponding to the secondary temperature information;
on the premise that the secondary temperature information is the non-candidate secondary temperature information, taking a second temperature value as a temperature value corresponding to the secondary temperature information;
Generating the sample temperature index queue of the target temperature information using the first temperature value and the second temperature value.
Further, the loading temperature detection according to the usage temperature policy configured for each of the secondary temperature information includes:
configuring a third temperature value to each of the secondary temperature information as the usage temperature policy of the secondary temperature information;
loading the temperature detection according to the usage temperature strategy;
Wherein, in the process of loading the temperature detection, counting the change states of the temperature description feature vectors corresponding to the secondary temperature information includes:
obtaining the maximum value of the temperature description characteristic vector and the minimum value of the temperature description characteristic vector corresponding to each secondary temperature information in the temperature detection process;
Calculating a difference value between the maximum value of the temperature description characteristic vector and the minimum value of the temperature description characteristic vector as a change state of the temperature description characteristic vector;
counting the change states of the temperature description feature vectors of the sub-temperature information;
wherein the cooling the usage temperature policy according to the change state of the temperature description feature vector, and obtaining the target temperature includes:
acquiring the change state of the temperature description characteristic vector corresponding to each secondary temperature information in the temperature detection process;
calculating an average change state of the change states of the temperature description feature vectors of all the secondary temperature information;
according to the comparison result of the change state of the temperature description feature vector and the average change state, cooling the using temperature strategy corresponding to the secondary temperature information to obtain the target temperature;
wherein the cooling the usage temperature policy corresponding to the secondary temperature information to obtain the target temperature according to a comparison result of the change state of the temperature description feature vector and the average change state includes:
on the premise that the change state of the temperature description feature vector is larger than the identification result of the second cosine value and the average change state, taking a first target temperature value as the target temperature of the corresponding secondary temperature information;
On the premise that the change state of the temperature description feature vector is not more than the identification result of a third cosine value and the average change state, taking a third target temperature value as the target temperature of the corresponding secondary temperature information;
And on the premise that the change state of the temperature description feature vector is between the identification result of the third cosine value and the average change state and the identification result of the second cosine value and the average change state, taking a second target temperature value as the target temperature of the corresponding secondary temperature information, wherein the second cosine value is larger than the third cosine value.
In a second aspect, a server intelligent cooling system is provided, including a data acquisition end and a data processing terminal, the data acquisition end is in communication connection with the data processing terminal, and the data processing terminal is specifically configured to:
on the premise of receiving detection permission of the temperature data of the real-time server, acquiring temperature description feature vectors corresponding to secondary temperature information contained in the currently acquired target temperature information;
determining the temperature category of the target temperature information according to the temperature description feature vectors corresponding to the secondary temperature information, and generating a sample temperature index queue matched with the target temperature information;
On the premise that the temperature type of the target temperature information indicates a preset temperature, loading temperature detection according to a use temperature strategy configured for each secondary temperature information;
in the process of loading the temperature detection, counting the change states of the temperature description feature vectors corresponding to the secondary temperature information;
On the premise that the change state of the temperature description characteristic vector reaches a cooling condition, cooling the using temperature strategy according to the change state of the temperature description characteristic vector to obtain a target temperature;
and loading a temperature cooling command according to the target temperature of each secondary temperature information.
Further, the data processing terminal is specifically configured to:
Calculating a temperature characteristic vector to be selected and a standard temperature characteristic vector of the target temperature information according to the temperature description characteristic vector of the secondary temperature information;
On the premise that the temperature description feature vector corresponding to the secondary temperature information is not greater than the standard temperature feature vector and the temperature description feature vector is not greater than a first preset vector, determining that the secondary temperature information corresponding to the temperature description feature vector is non-to-be-selected secondary temperature information, wherein the non-to-be-selected secondary temperature information is secondary temperature information which is not configured with temperature information label information;
On the premise that the temperature description feature vector corresponding to the secondary temperature information is larger than the standard temperature feature vector or the temperature description feature vector is larger than the first preset vector, determining that the secondary temperature information is secondary temperature information to be selected, wherein the secondary temperature information to be selected is secondary temperature information configured with temperature information label information;
and determining the temperature category of the target temperature information according to the temperature characteristic vector to be selected and the number of the temperature information to be selected of the target temperature information.
Further, the data processing terminal is specifically configured to:
On the premise that the temperature description characteristic vector corresponding to the temperature information to be selected is larger than a first cosine value and the identification result of the standard temperature characteristic vector, determining the temperature information to be selected as target temperature information to be selected, wherein the target temperature information to be selected is configured with a target temperature information label;
and on the premise that the temperature characteristic vector to be selected is not greater than a second preset vector and the number of the target temperature information to be selected is not greater than a third preset vector, determining that the temperature category of the target temperature information is the preset temperature.
Further, the data processing terminal is specifically configured to:
on the premise that the secondary temperature information is the secondary temperature information to be selected, taking a first temperature value as a temperature value corresponding to the secondary temperature information;
on the premise that the secondary temperature information is the non-candidate secondary temperature information, taking a second temperature value as a temperature value corresponding to the secondary temperature information;
Generating the sample temperature index queue of the target temperature information using the first temperature value and the second temperature value.
Further, the data processing terminal is specifically configured to:
configuring a third temperature value to each of the secondary temperature information as the usage temperature policy of the secondary temperature information;
loading the temperature detection according to the usage temperature strategy;
the data processing terminal is specifically configured to:
obtaining the maximum value of the temperature description characteristic vector and the minimum value of the temperature description characteristic vector corresponding to each secondary temperature information in the temperature detection process;
Calculating a difference value between the maximum value of the temperature description characteristic vector and the minimum value of the temperature description characteristic vector as a change state of the temperature description characteristic vector;
counting the change states of the temperature description feature vectors of the sub-temperature information;
the data processing terminal is specifically configured to:
acquiring the change state of the temperature description characteristic vector corresponding to each secondary temperature information in the temperature detection process;
calculating an average change state of the change states of the temperature description feature vectors of all the secondary temperature information;
according to the comparison result of the change state of the temperature description feature vector and the average change state, cooling the using temperature strategy corresponding to the secondary temperature information to obtain the target temperature;
the data processing terminal is specifically configured to:
on the premise that the change state of the temperature description feature vector is larger than the identification result of the second cosine value and the average change state, taking a first target temperature value as the target temperature of the corresponding secondary temperature information;
On the premise that the change state of the temperature description feature vector is not more than the identification result of a third cosine value and the average change state, taking a third target temperature value as the target temperature of the corresponding secondary temperature information;
And on the premise that the change state of the temperature description feature vector is between the identification result of the third cosine value and the average change state and the identification result of the second cosine value and the average change state, taking a second target temperature value as the target temperature of the corresponding secondary temperature information, wherein the second cosine value is larger than the third cosine value.
According to the intelligent cooling method and system for the server, the temperature description characteristic vector corresponding to the secondary temperature information in the target temperature information is obtained to determine the temperature category of the target temperature information, on the premise that the temperature category is judged to be the preset temperature, the change state of the temperature description characteristic vector is counted in the temperature detection process, so that the using temperature strategy corresponding to the secondary temperature information is cooled according to the change state of the temperature description characteristic vector, the target temperature is obtained, the temperature category is judged according to the target temperature of the secondary temperature information, the using temperature strategy of the secondary temperature information is configured according to the temperature description characteristic vector, the using temperature strategy of the secondary temperature information is cooled according to the change state of the temperature description characteristic vector counted in the temperature detection process, the target temperature for the temperature cooling instruction is obtained, the using temperature strategy of the secondary temperature information is cooled to the target temperature which is more suitable for the temperature category and the temperature detection according to the change state of the temperature description characteristic vector, and the target temperature strategy is cooled, and the purpose of cooling effect of the cooling instruction is achieved, and the cooling effect of the cooling according to the temperature category is improved.
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 as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a server intelligent cooling method according to an embodiment of the present application.
Fig. 2 is a block diagram of an intelligent cooling device for a server according to an embodiment of the present application.
Fig. 3 is a schematic diagram of an intelligent cooling system for a server according to an embodiment of the present application.
Detailed Description
In order to better understand the above technical solutions, the following detailed description of the technical solutions of the present application is made by using the accompanying drawings and specific embodiments, and it should be understood that the specific features of the embodiments and the embodiments of the present application are detailed descriptions of the technical solutions of the present application, and not limiting the technical solutions of the present application, and the technical features of the embodiments and the embodiments of the present application may be combined with each other without conflict.
Referring to fig. 1, a method for intelligent cooling of a server is shown, which may include the following steps 100-600.
Step 100, acquiring temperature description feature vectors corresponding to the secondary temperature information contained in the currently acquired target temperature information on the premise of receiving detection permission of the temperature data of the real-time server.
Illustratively, the secondary temperature information included in the target temperature information respectively corresponds to a temperature description feature vector.
Step 200, determining a temperature category of the target temperature information according to the temperature description feature vectors corresponding to the secondary temperature information, and generating a sample temperature index queue matched with the target temperature information.
Illustratively, the temperature category of the target temperature information is used to characterize low temperature, normal temperature, and high temperature conditions.
Further, the sample temperature index queues a hint information for characterizing a temperature category of the target temperature information.
And 300, loading temperature detection according to the use temperature strategy configured for each secondary temperature information on the premise that the temperature category of the target temperature information indicates a preset temperature.
Step 400, counting the change states of the temperature description feature vectors corresponding to the secondary temperature information in the process of loading the temperature detection.
And 500, cooling the using temperature strategy according to the change state of the temperature description characteristic vector on the premise that the change state of the temperature description characteristic vector reaches a cooling condition, and obtaining the target temperature.
Illustratively, a temperature strategy is used to characterize the heat emitted by the associated equipment during operation.
Step 600, loading a temperature cooling command according to the target temperature of each secondary temperature information.
It may be understood that, when the technical solution described in the foregoing steps 100-600 is executed, a temperature class of the target temperature information is determined by using a temperature description feature vector corresponding to the secondary temperature information in the target temperature information, under the premise that the temperature class is determined as a preset temperature, in the temperature detection process, a change state of the temperature description feature vector is counted, thereby cooling a use temperature policy corresponding to the secondary temperature information according to the change state of the temperature description feature vector, and obtaining a target temperature, loading a permission of a temperature cooling instruction according to the target temperature of the secondary temperature information, determining the temperature class according to the temperature description feature vector, configuring the use temperature policy of the secondary temperature information according to the temperature class, and cooling the use temperature policy of the secondary temperature information according to the change state of the temperature description feature vector counted in the temperature detection process, so as to obtain a target temperature for the temperature cooling instruction, and cooling the use temperature policy of the secondary temperature information according to the judgment of the temperature class and the statistic cooling of the parameter in the first temperature process, thereby cooling the use temperature policy of the secondary temperature information to a target temperature corresponding to the temperature class and the temperature detection more suitable for loading the temperature cooling instruction, thereby achieving the objective of cooling effect of the secondary temperature information according to the temperature class, and thereby improving the cooling effect of the temperature of the secondary temperature information.
In an alternative embodiment, the inventor finds that when the temperature description feature vectors corresponding to the secondary temperature information respectively have a problem that the temperature feature vector to be selected and the standard temperature feature vector of the target temperature information are not accurate, so that it is difficult to accurately determine the temperature category of the target temperature information, and in order to improve the technical problem, the step of determining the temperature category of the target temperature information according to the temperature description feature vectors corresponding to the secondary temperature information described in step 200 may specifically include the following technical scheme described in step q 1-step q 4.
And q1, calculating a temperature characteristic vector to be selected and a standard temperature characteristic vector of the target temperature information according to the temperature description characteristic vector of the secondary temperature information.
And q2, on the premise that the temperature description characteristic vector corresponding to the secondary temperature information is not greater than the standard temperature characteristic vector and the temperature description characteristic vector is not greater than a first preset vector, determining that the secondary temperature information corresponding to the temperature description characteristic vector is non-candidate secondary temperature information.
The non-candidate secondary temperature information is, for example, secondary temperature information not configured with temperature information tag information.
And q3, determining the secondary temperature information as secondary temperature information to be selected on the premise that the temperature description characteristic vector corresponding to the secondary temperature information is larger than the standard temperature characteristic vector or the temperature description characteristic vector is larger than the first preset vector.
The secondary temperature information to be selected is, for example, secondary temperature information configured with temperature information tag information.
And q4, determining the temperature category of the target temperature information according to the temperature characteristic vector to be selected and the number of the temperature information to be selected of the target temperature information.
It can be understood that when the technical schemes described in the steps q1 to q4 are executed, the problem that the to-be-selected temperature feature vector and the standard temperature feature vector of the target temperature information are calculated inaccurately is avoided when the feature vectors are described according to the temperatures corresponding to the secondary temperature information, so that the temperature category of the target temperature information can be accurately determined.
In an alternative embodiment, the inventor finds that when determining the temperature category of the target temperature information according to the candidate temperature feature vector of the target temperature information and the number of candidate sub-temperature information, there is a problem that the identification result is inaccurate, so that it is difficult to accurately determine the temperature category of the target temperature information, and in order to improve the above technical problem, the step of determining the temperature category of the target temperature information according to the candidate temperature feature vector of the target temperature information and the number of candidate sub-temperature information described in step q4 may specifically include the following technical solutions described in step q41 and step q 42.
And step q41, determining the temperature information of the secondary to be selected as the temperature information of the target secondary to be selected on the premise that the temperature description characteristic vector corresponding to the temperature information of the secondary to be selected is larger than a first cosine value and the identification result of the standard temperature characteristic vector.
For example, the target candidate secondary temperature information is secondary temperature information configured with a target temperature information tag.
And q42, determining the temperature category of the target temperature information as the preset temperature on the premise that the temperature characteristic vector to be selected is not greater than a second preset vector and the number of the target temperature information to be selected is not greater than a third preset vector.
It can be understood that when the temperature category of the target temperature information is determined according to the number of the candidate temperature feature vectors and the candidate sub-temperature information of the target temperature information while the technical schemes described in the above steps q41 and q42 are performed, the problem of inaccurate recognition results is improved, so that the temperature category of the target temperature information can be accurately determined.
In an alternative embodiment, the inventor finds that when generating the sample temperature index queue matching the target temperature information, there is a problem that the temperature value is not accurate, so that it is difficult to accurately generate the sample temperature index queue matching the target temperature information, and in order to improve the technical problem, the step of generating the sample temperature index queue matching the target temperature information described in step 200 may specifically include the following technical solutions described in steps w1 to w 3.
And step w1, taking the first temperature value as the temperature value corresponding to the secondary temperature information on the premise that the secondary temperature information is the secondary temperature information to be selected.
And step w2, taking the second temperature value as the temperature value corresponding to the secondary temperature information on the premise that the secondary temperature information is the non-candidate secondary temperature information.
And step w3, generating the sample temperature index queue of the target temperature information by using the first temperature value and the second temperature value.
It can be appreciated that when the technical solution described in the above steps w1 to w3 is executed, the problem of inaccurate temperature value is improved when the sample temperature index queue matched with the target temperature information is generated, so that the sample temperature index queue matched with the target temperature information can be accurately generated.
In an alternative embodiment, the inventor finds that when the temperature detection is loaded according to the usage temperature policy configured for each secondary temperature information, there is a problem that each secondary temperature information is inaccurate, so that it is difficult to accurately load the temperature detection according to the usage temperature policy configured for each secondary temperature information, and in order to improve the technical problem, the step of loading the temperature detection according to the usage temperature policy configured for each secondary temperature information described in step 300 may specifically include the following technical solutions described in step e1 and step e 2.
And e1, configuring a third temperature value to each piece of secondary temperature information as the using temperature strategy of the secondary temperature information.
And e2, loading the temperature detection according to the using temperature strategy.
It can be understood that when the technical schemes described in the above steps e1 and e2 are executed, the problem of inaccuracy of the respective secondary temperature information is improved when the temperature detection is loaded according to the usage temperature policy configured for the respective secondary temperature information, so that the temperature detection can be accurately loaded according to the usage temperature policy configured for the respective secondary temperature information.
In an alternative embodiment, the inventor finds that during the loading of the temperature detection, there is a problem that the temperature detection is inaccurate, so that it is difficult to accurately count the change states of the temperature description feature vectors corresponding to the secondary temperature information, and in order to improve the technical problem, in the step 400, the step of counting the change states of the temperature description feature vectors corresponding to the secondary temperature information during the loading of the temperature detection may specifically include the following technical schemes described in steps r1 to r 3.
And r1, obtaining the maximum value of the temperature description characteristic vector and the minimum value of the temperature description characteristic vector corresponding to each secondary temperature information in the temperature detection process.
And r2, calculating a difference value between the maximum value of the temperature description characteristic vector and the minimum value of the temperature description characteristic vector as a change state of the temperature description characteristic vector.
And r3, counting the change states of the temperature description feature vectors of the sub-temperature information.
It can be understood that when the technical schemes described in the steps r1 to r3 are executed, the problem of inaccurate temperature detection is solved when the temperature detection process is loaded, so that the change states of the temperature description feature vectors corresponding to the secondary temperature information can be accurately counted.
In an alternative embodiment, the inventor finds that when the usage temperature policy is cooled according to the change state of the temperature description feature vector, there is a problem that the change state is unreliable, so that it is difficult to reliably obtain the target temperature, and in order to improve the above technical problem, the step 300 of cooling the usage temperature policy according to the change state of the temperature description feature vector to obtain the target temperature may specifically include the following technical solutions described in steps t1 to t 3.
And step t1, obtaining the change state of the temperature description characteristic vector corresponding to each secondary temperature information in the temperature detection process.
And step t2, calculating the average change state of the change states of the temperature description feature vectors of all the secondary temperature information.
And t3, cooling the using temperature strategy corresponding to the secondary temperature information according to the comparison result of the change state of the temperature description feature vector and the average change state to obtain the target temperature.
It can be understood that when the technical scheme described in the above steps t1 to t3 is executed, the problem that the change state is unreliable is improved when the using temperature strategy is cooled according to the change state of the temperature description feature vector, so that the target temperature can be reliably obtained.
In an alternative embodiment, the inventor finds that when the change state of the temperature description feature vector is compared with the average change state, there is a problem that the target temperature of the secondary temperature information is inaccurate, so that it is difficult to accurately cool the usage temperature policy corresponding to the secondary temperature information to obtain the target temperature, and in order to improve the above technical problem, the step of cooling the usage temperature policy corresponding to the secondary temperature information to obtain the target temperature according to the comparison result of the change state of the temperature description feature vector and the average change state described in the step t3 may specifically include the following technical scheme described in the step t 31-the step t 33.
And step t31, taking a first target temperature value as the target temperature of the corresponding secondary temperature information on the premise that the change state of the temperature description characteristic vector is larger than the identification result of a second cosine value and the average change state.
And step t32, taking a third target temperature value as the target temperature of the corresponding secondary temperature information on the premise that the change state of the temperature description feature vector is not greater than the identification result of a third cosine value and the average change state.
Step t33, taking a second target temperature value as the target temperature of the corresponding secondary temperature information on the premise that the change state of the temperature description feature vector is between the identification result of the third cosine value and the average change state and the identification result of the second cosine value and the average change state.
For example, the second cosine value is greater than the third cosine value.
It can be understood that when the technical solution described in the above steps t31 to t33 is executed, the problem that the target temperature of the secondary temperature information is not accurate is improved according to the comparison result of the change state of the temperature description feature vector and the average change state, so that the usage temperature policy corresponding to the secondary temperature information can be accurately cooled to obtain the target temperature.
In one possible embodiment, the technical solution described in the following step a1 may be included.
And a step a1 of loading the temperature detection and the temperature cooling instruction according to the sample temperature index queue on the premise that the temperature category of the target temperature information indicates a general temperature.
It will be appreciated that when the technical solution described in step a1 above is performed, the general temperature is indicated by the temperature category, thereby improving the accuracy of loading the temperature detection and the temperature cooling instruction.
In one possible embodiment, the technical solution described in the following step s1 may be included.
And step s1, cooling the temperature category of the target temperature information to the general temperature on the premise that the change state of the temperature description characteristic vector fails to reach a cooling condition.
It will be appreciated that in performing the technical solution described in step s1 above, the accuracy of the temperature class cooling to the general temperature is improved by determining the state of change of the temperature description feature vector.
On the basis of the above, please refer to fig. 2 in combination, there is provided a server intelligent cooling apparatus 200, applied to a data processing terminal, the apparatus comprising:
The descriptive feature acquisition model 210 is configured to acquire temperature descriptive feature vectors corresponding to secondary temperature information included in the currently acquired target temperature information on the premise of receiving a detection permission of the temperature data of the real-time server;
A temperature index production model 220, configured to determine a temperature class of the target temperature information according to the temperature description feature vectors corresponding to the secondary temperature information, and generate a sample temperature index queue matched with the target temperature information;
A temperature detection loading module 230, configured to load temperature detection according to a usage temperature policy configured for each of the secondary temperature information on the premise that a temperature class of the target temperature information indicates a temperature set in advance;
a change state statistics module 240, configured to, during loading the temperature detection process, count a change state of the temperature description feature vector corresponding to each of the secondary temperature information;
The target temperature obtaining module 250 is configured to cool the usage temperature policy according to the change state of the temperature description feature vector on the premise that the change state of the temperature description feature vector reaches a cooling condition, so as to obtain a target temperature;
a cooling instruction loading module 260 for loading a temperature cooling instruction according to the target temperature of each of the secondary temperature information.
On the basis of the above, please refer to fig. 3 in combination, a server intelligent cooling system 300 is shown, comprising a processor 310 and a memory 320 in communication with each other, wherein the processor 310 is configured to read and execute a computer program from the memory 320 to implement the above-mentioned method.
On the basis of the above, there is also provided a computer readable storage medium on which a computer program stored which, when run, implements the above method.
In summary, based on the above scheme, the temperature category of the target temperature information is determined by adopting the temperature description feature vector corresponding to the secondary temperature information in the target temperature information, under the premise that the temperature category is judged to be the preset temperature, the change state of the temperature description feature vector is counted in the temperature detection process, so that the use temperature strategy corresponding to the secondary temperature information is cooled according to the change state of the temperature description feature vector, and the target temperature is obtained.
It should be appreciated that the systems and modules thereof shown above may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may then be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or special purpose design hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such as provided on a carrier medium such as a magnetic disk, CD or DVD-ROM, a programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system of the present application and its modules may be implemented not only with hardware circuitry such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also with software executed by various types of processors, for example, and with a combination of the above hardware circuitry and software (e.g., firmware).
It should be noted that, the advantages that may be generated by different embodiments may be different, and in different embodiments, the advantages that may be generated may be any one or a combination of several of the above, or any other possible advantages that may be obtained.
While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements and adaptations of the application may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within the present disclosure, and therefore, such modifications, improvements, and adaptations are intended to be within the spirit and scope of the exemplary embodiments of the present disclosure.
Meanwhile, the present application uses specific words to describe embodiments of the present application. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the application. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the application may be combined as suitable.
Furthermore, those skilled in the art will appreciate that the various aspects of the application are illustrated and described in the context of a number of patentable categories or circumstances, including any novel and useful procedures, machines, products, or materials, or any novel and useful modifications thereof. Accordingly, aspects of the application may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.) or by a combination of hardware and software. The above hardware or software may be referred to as a "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the application may take the form of a computer product, comprising computer-readable program code, embodied in one or more computer-readable media.
The computer storage medium may contain a propagated data signal with the computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take on a variety of forms, including electro-magnetic, optical, etc., or any suitable combination thereof. A computer storage medium may be any computer readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated through any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or a combination of any of the foregoing.
The computer program code necessary for operation of portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, scala, smalltalk, eiffel, JADE, emerald, C ++, C#, VB NET, python, and the like, a conventional programming language such as the C language, visual Basic, fortran2003, perl, COBOL2002, PHP, ABAP, a dynamic programming language such as Python, ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer or as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any form of network, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or the use of services such as software as a service (SaaS) in a cloud computing environment.
Furthermore, the order in which the elements and sequences are presented, the use of numerical letters, or other designations are used in the application is not intended to limit the sequence of the processes and methods unless specifically recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of example, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the application. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in order to simplify the description of the present disclosure and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure does not imply that the subject application requires more features than are set forth in the claims. Indeed, less than all of the features of a single embodiment disclosed above.
In some embodiments, numbers describing the components, number of attributes are used, it being understood that such numbers being used in the description of embodiments are modified in some examples by the modifier "about," approximately, "or" substantially. Unless otherwise indicated, "about," "approximately," or "substantially" indicate that the numbers allow for adaptive variation. Accordingly, in some embodiments, numerical parameters set forth in the specification and claims are approximations that may vary depending upon the desired properties sought to be obtained by the individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and employ a method for preserving the general number of digits. Although the numerical ranges and parameters set forth herein are approximations in some embodiments for use in determining the breadth of the range, in particular embodiments, the numerical values set forth herein are as precisely as possible.
Each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited herein is hereby incorporated by reference in its entirety. Except for the application history file that is inconsistent or conflicting with this disclosure, the file (currently or later attached to this disclosure) that limits the broadest scope of the claims of this disclosure is also excluded. It is noted that the description, definition, and/or use of the term in the appended claims controls the description, definition, and/or use of the term in this application if there is a discrepancy or conflict between the description, definition, and/or use of the term in the appended claims.
Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the application. Thus, by way of example, and not limitation, alternative configurations of embodiments of the application may be considered in keeping with the teachings of the application. Accordingly, the embodiments of the present application are not limited to the embodiments explicitly described and depicted herein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (10)
1. An intelligent cooling method for a server, comprising the steps of:
on the premise of receiving detection permission of the temperature data of the real-time server, acquiring temperature description feature vectors corresponding to secondary temperature information contained in the currently acquired target temperature information;
determining the temperature category of the target temperature information according to the temperature description feature vectors corresponding to the secondary temperature information, and generating a sample temperature index queue matched with the target temperature information;
On the premise that the temperature type of the target temperature information indicates a preset temperature, loading temperature detection according to a use temperature strategy configured for each secondary temperature information;
in the process of loading the temperature detection, counting the change states of the temperature description feature vectors corresponding to the secondary temperature information;
On the premise that the change state of the temperature description characteristic vector reaches a cooling condition, cooling the using temperature strategy according to the change state of the temperature description characteristic vector to obtain a target temperature;
and loading a temperature cooling command according to the target temperature of each secondary temperature information.
2. The method of claim 1, wherein determining the temperature category of the target temperature information from the temperature description feature vectors corresponding to the secondary temperature information respectively comprises:
Calculating a temperature characteristic vector to be selected and a standard temperature characteristic vector of the target temperature information according to the temperature description characteristic vector of the secondary temperature information;
On the premise that the temperature description feature vector corresponding to the secondary temperature information is not greater than the standard temperature feature vector and the temperature description feature vector is not greater than a first preset vector, determining that the secondary temperature information corresponding to the temperature description feature vector is non-to-be-selected secondary temperature information, wherein the non-to-be-selected secondary temperature information is secondary temperature information which is not configured with temperature information label information;
On the premise that the temperature description feature vector corresponding to the secondary temperature information is larger than the standard temperature feature vector or the temperature description feature vector is larger than the first preset vector, determining that the secondary temperature information is secondary temperature information to be selected, wherein the secondary temperature information to be selected is secondary temperature information configured with temperature information label information;
and determining the temperature category of the target temperature information according to the temperature characteristic vector to be selected and the number of the temperature information to be selected of the target temperature information.
3. The method of claim 2, wherein the determining the temperature category of the target temperature information from the candidate temperature feature vector of the target temperature information and the number of candidate sub-temperature information comprises:
On the premise that the temperature description characteristic vector corresponding to the temperature information to be selected is larger than a first cosine value and the identification result of the standard temperature characteristic vector, determining the temperature information to be selected as target temperature information to be selected, wherein the target temperature information to be selected is configured with a target temperature information label;
and on the premise that the temperature characteristic vector to be selected is not greater than a second preset vector and the number of the target temperature information to be selected is not greater than a third preset vector, determining that the temperature category of the target temperature information is the preset temperature.
4. The method of claim 2, wherein the generating a sample temperature index queue that matches the target temperature information comprises:
on the premise that the secondary temperature information is the secondary temperature information to be selected, taking a first temperature value as a temperature value corresponding to the secondary temperature information;
on the premise that the secondary temperature information is the non-candidate secondary temperature information, taking a second temperature value as a temperature value corresponding to the secondary temperature information;
Generating the sample temperature index queue of the target temperature information using the first temperature value and the second temperature value.
5. The method of claim 1, wherein loading temperature detection in accordance with a usage temperature policy configured for each of the secondary temperature information comprises:
configuring a third temperature value to each of the secondary temperature information as the usage temperature policy of the secondary temperature information;
loading the temperature detection according to the usage temperature strategy;
Wherein, in the process of loading the temperature detection, counting the change states of the temperature description feature vectors corresponding to the secondary temperature information includes:
obtaining the maximum value of the temperature description characteristic vector and the minimum value of the temperature description characteristic vector corresponding to each secondary temperature information in the temperature detection process;
Calculating a difference value between the maximum value of the temperature description characteristic vector and the minimum value of the temperature description characteristic vector as a change state of the temperature description characteristic vector;
counting the change states of the temperature description feature vectors of the sub-temperature information;
wherein the cooling the usage temperature policy according to the change state of the temperature description feature vector, and obtaining the target temperature includes:
acquiring the change state of the temperature description characteristic vector corresponding to each secondary temperature information in the temperature detection process;
calculating an average change state of the change states of the temperature description feature vectors of all the secondary temperature information;
according to the comparison result of the change state of the temperature description feature vector and the average change state, cooling the using temperature strategy corresponding to the secondary temperature information to obtain the target temperature;
wherein the cooling the usage temperature policy corresponding to the secondary temperature information to obtain the target temperature according to a comparison result of the change state of the temperature description feature vector and the average change state includes:
on the premise that the change state of the temperature description feature vector is larger than the identification result of the second cosine value and the average change state, taking a first target temperature value as the target temperature of the corresponding secondary temperature information;
On the premise that the change state of the temperature description feature vector is not more than the identification result of a third cosine value and the average change state, taking a third target temperature value as the target temperature of the corresponding secondary temperature information;
And on the premise that the change state of the temperature description feature vector is between the identification result of the third cosine value and the average change state and the identification result of the second cosine value and the average change state, taking a second target temperature value as the target temperature of the corresponding secondary temperature information, wherein the second cosine value is larger than the third cosine value.
6. The intelligent cooling system of the server is characterized by comprising a data acquisition end and a data processing terminal, wherein the data acquisition end is in communication connection with the data processing terminal, and the data processing terminal is specifically used for:
on the premise of receiving detection permission of the temperature data of the real-time server, acquiring temperature description feature vectors corresponding to secondary temperature information contained in the currently acquired target temperature information;
determining the temperature category of the target temperature information according to the temperature description feature vectors corresponding to the secondary temperature information, and generating a sample temperature index queue matched with the target temperature information;
On the premise that the temperature type of the target temperature information indicates a preset temperature, loading temperature detection according to a use temperature strategy configured for each secondary temperature information;
in the process of loading the temperature detection, counting the change states of the temperature description feature vectors corresponding to the secondary temperature information;
On the premise that the change state of the temperature description characteristic vector reaches a cooling condition, cooling the using temperature strategy according to the change state of the temperature description characteristic vector to obtain a target temperature;
and loading a temperature cooling command according to the target temperature of each secondary temperature information.
7. The system according to claim 6, wherein the data processing terminal is specifically configured to:
Calculating a temperature characteristic vector to be selected and a standard temperature characteristic vector of the target temperature information according to the temperature description characteristic vector of the secondary temperature information;
On the premise that the temperature description feature vector corresponding to the secondary temperature information is not greater than the standard temperature feature vector and the temperature description feature vector is not greater than a first preset vector, determining that the secondary temperature information corresponding to the temperature description feature vector is non-to-be-selected secondary temperature information, wherein the non-to-be-selected secondary temperature information is secondary temperature information which is not configured with temperature information label information;
On the premise that the temperature description feature vector corresponding to the secondary temperature information is larger than the standard temperature feature vector or the temperature description feature vector is larger than the first preset vector, determining that the secondary temperature information is secondary temperature information to be selected, wherein the secondary temperature information to be selected is secondary temperature information configured with temperature information label information;
and determining the temperature category of the target temperature information according to the temperature characteristic vector to be selected and the number of the temperature information to be selected of the target temperature information.
8. The system according to claim 7, wherein the data processing terminal is specifically configured to:
On the premise that the temperature description characteristic vector corresponding to the temperature information to be selected is larger than a first cosine value and the identification result of the standard temperature characteristic vector, determining the temperature information to be selected as target temperature information to be selected, wherein the target temperature information to be selected is configured with a target temperature information label;
and on the premise that the temperature characteristic vector to be selected is not greater than a second preset vector and the number of the target temperature information to be selected is not greater than a third preset vector, determining that the temperature category of the target temperature information is the preset temperature.
9. The system according to claim 7, wherein the data processing terminal is specifically configured to:
on the premise that the secondary temperature information is the secondary temperature information to be selected, taking a first temperature value as a temperature value corresponding to the secondary temperature information;
on the premise that the secondary temperature information is the non-candidate secondary temperature information, taking a second temperature value as a temperature value corresponding to the secondary temperature information;
Generating the sample temperature index queue of the target temperature information using the first temperature value and the second temperature value.
10. The system according to claim 6, wherein the data processing terminal is specifically configured to:
configuring a third temperature value to each of the secondary temperature information as the usage temperature policy of the secondary temperature information;
loading the temperature detection according to the usage temperature strategy;
the data processing terminal is specifically configured to:
obtaining the maximum value of the temperature description characteristic vector and the minimum value of the temperature description characteristic vector corresponding to each secondary temperature information in the temperature detection process;
Calculating a difference value between the maximum value of the temperature description characteristic vector and the minimum value of the temperature description characteristic vector as a change state of the temperature description characteristic vector;
counting the change states of the temperature description feature vectors of the sub-temperature information;
the data processing terminal is specifically configured to:
acquiring the change state of the temperature description characteristic vector corresponding to each secondary temperature information in the temperature detection process;
calculating an average change state of the change states of the temperature description feature vectors of all the secondary temperature information;
according to the comparison result of the change state of the temperature description feature vector and the average change state, cooling the using temperature strategy corresponding to the secondary temperature information to obtain the target temperature;
the data processing terminal is specifically configured to:
on the premise that the change state of the temperature description feature vector is larger than the identification result of the second cosine value and the average change state, taking a first target temperature value as the target temperature of the corresponding secondary temperature information;
On the premise that the change state of the temperature description feature vector is not more than the identification result of a third cosine value and the average change state, taking a third target temperature value as the target temperature of the corresponding secondary temperature information;
And on the premise that the change state of the temperature description feature vector is between the identification result of the third cosine value and the average change state and the identification result of the second cosine value and the average change state, taking a second target temperature value as the target temperature of the corresponding secondary temperature information, wherein the second cosine value is larger than the third cosine value.
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