CN113515431B - Method and system for monitoring heat dissipation state of server cabinet based on cloud platform - Google Patents
Method and system for monitoring heat dissipation state of server cabinet based on cloud platform Download PDFInfo
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- CN113515431B CN113515431B CN202110379714.8A CN202110379714A CN113515431B CN 113515431 B CN113515431 B CN 113515431B CN 202110379714 A CN202110379714 A CN 202110379714A CN 113515431 B CN113515431 B CN 113515431B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The embodiment of the invention provides a method and a system for monitoring a heat dissipation state of a server cabinet based on a cloud platform, wherein the method comprises the following steps: acquiring the CPU utilization rate of a server in a server cabinet from the server control platform; determining a load gear of the server according to the CPU utilization rate; acquiring the temperature of a server cabinet and the room temperature of a machine room where the server cabinet is located, and determining the temperature difference between the temperature of the server cabinet and the room temperature of the machine room; and determining the heat dissipation rate of the server cabinet based on the load gear of the server and the temperature difference value. The method and the system provided by the embodiment of the invention are based on the cloud platform, the heat dissipation rate of the server cabinet is calculated by comprehensively considering the load state of the server and the temperature state of the reference room temperature environment, so that a server administrator can intuitively know the real heat dissipation state of the server cabinet so as to consider whether to perform manual intervention or not, and a more accurate reference basis can be provided for automatic heat dissipation adjustment of the server cabinet.
Description
Technical Field
The invention relates to the field of server heat dissipation, in particular to a method for monitoring a heat dissipation state of a server cabinet based on a cloud platform and a system for monitoring the heat dissipation state of the server cabinet based on the cloud platform.
Background
With the rise of cloud computing and related applications thereof, cloud computing data centers are also rapidly developed. At present, the power utilization efficiency value of the cloud computing data center is not high, and the long-term high load causes the working temperature of the server host working in the data center to be always kept at a high value. The working temperature of the server and the matched hardware equipment of the data center cannot exceed the critical value, otherwise, the normal work is influenced. In order to avoid the working temperature of the server host working in the data center exceeding a critical value, heat dissipation devices are arranged on equipment such as server cabinets and racks, and the heat dissipation devices can dissipate heat according to real-time temperature values of the server cabinets. However, in the actual use process, factors influencing the local temperature value in the machine room are complicated, such as damage of the heat dissipation device, unbalanced distribution of the workload of the server, and the like. Due to various problems, different server hosts may overheat at the same time or different times, and the heat values of different server cabinet surfaces are also uneven.
In the related art, the heat dissipation of the server cabinet generally directly takes the temperature of the server cabinet as a reference, and the server cabinet is subjected to heat dissipation, so that the problems of slow reaction, wrong reaction and the like exist, and the heat dissipation effect is often unsatisfactory. Moreover, the number of server hosts in a data center is large, a data center administrator is often difficult to accurately judge the working condition and the heat dissipation condition of each server cabinet, and is difficult to find the conditions of uneven heat dissipation, local heat dissipation faults and the like, so that manual intervention cannot be timely performed, and the occurrence of a lot of server downtime conditions is aggravated.
Disclosure of Invention
In view of the foregoing problems, embodiments of the present invention provide a method for monitoring a heat dissipation state of a server cabinet based on a cloud platform and a system for monitoring a heat dissipation state of a server cabinet based on a cloud platform, which overcome or at least partially solve the foregoing problems.
In order to solve the above problem, an embodiment of the present invention provides a method for monitoring a heat dissipation state of a server cabinet based on a cloud platform, which is applied to the cloud platform, where the cloud platform establishes a communication connection with a server control platform, and the method includes:
acquiring the CPU utilization rate of a server in a server cabinet from the server control platform;
determining a load gear of a server according to the CPU utilization rate;
acquiring the temperature of a server cabinet and the room temperature of a machine room where the server cabinet is located, and determining the temperature difference between the temperature of the server cabinet and the room temperature of the machine room;
and determining the heat dissipation rate of the server cabinet based on the load gear of the server and the temperature difference value.
Optionally, determining a heat dissipation rate of the server cabinet based on the load gear of the server and the temperature difference includes:
determining a load coefficient of the server cabinet according to the load gear of the server; wherein the load factor is positively correlated with the load gear, and the load gear is positively correlated with the CPU utilization rate;
and determining the heat dissipation rate of the server cabinet based on the load coefficient and the temperature difference value.
Optionally, determining a heat dissipation rate of the server cabinet based on the load factor and the temperature difference value includes:
determining the ratio of the temperature difference to the room temperature of the machine room;
and calculating the product of the ratio and the load coefficient, and determining the product as the heat dissipation rate of the server cabinet.
Optionally, when the number of servers in the server rack is multiple, determining a load gear of the server according to the CPU utilization includes:
determining the average value of the CPU utilization rates of a plurality of servers according to the CPU utilization rates of the plurality of servers;
and determining the uniform load gears of the plurality of servers as the load gears of the servers according to the CPU utilization rate average value.
Optionally, when the number of servers in the server rack is multiple, determining the heat dissipation rate of the server rack based on the load gear of the server and the temperature difference includes:
respectively calculating a plurality of heat dissipation rate sub-values of the server cabinet based on the load gear of each server and the temperature difference value;
and determining the average value of the plurality of heat dissipation rate sub-values as the heat dissipation rate of the server cabinet, or determining the heat dissipation rate of the server cabinet according to the heat dissipation rate sub-value with the maximum value.
Optionally, the method further comprises:
determining the heat dissipation power of a heat radiator according to the heat dissipation rate of the server cabinet and a preset heat dissipation rate threshold;
and controlling the radiator of the server cabinet to radiate the server cabinet according to the radiating power through the server control platform.
Optionally, determining the heat dissipation power of the heat sink according to the heat dissipation rate of the server cabinet and a preset heat dissipation rate threshold includes:
when the heat dissipation rate of the server cabinet is smaller than a first preset heat dissipation rate threshold value, determining that the heat dissipation power of the heat dissipater is 0;
when the heat dissipation rate of the server cabinet is not less than a first preset heat dissipation rate threshold value and is less than a second preset heat dissipation rate threshold value, determining the heat dissipation power of the heat dissipater to be first heat dissipation power;
when the heat dissipation rate of the server cabinet is not smaller than a second preset heat dissipation rate threshold value, determining the heat dissipation power of the radiator as a second heat dissipation power;
the first preset heat dissipation rate threshold is smaller than the second preset heat dissipation threshold, and the first heat dissipation power is smaller than the second heat dissipation power.
Optionally, the method further comprises:
and when the heat dissipation rate of the server cabinet is not less than a third preset heat dissipation rate threshold value, sending an alarm signal to the management client so that the management client outputs alarm information, wherein the alarm information is a sound alarm signal and/or an image alarm signal.
Optionally, the method further comprises:
acquiring a server query code input by a user;
according to the server query code, acquiring heat dissipation state information corresponding to the server query code from the server control platform; the heat dissipation state information at least includes one of the following: the heat dissipation rate of the server cabinet, the temperature of the server cabinet and the utilization rate of the CPU;
and sending the heat dissipation state information to a management client so as to display the heat dissipation state information on the management client.
The embodiment of the invention also provides a system for monitoring the heat dissipation state of the server cabinet based on the cloud platform, which is applied to the cloud platform, the cloud platform is in communication connection with the server control platform, and the system comprises:
the load information reading module is used for acquiring the CPU utilization rate of the server in the server cabinet from the server control platform;
the load gear determining module is used for determining the load gear of the server according to the CPU utilization rate;
the temperature difference determining module is used for acquiring the temperature of a server cabinet and the room temperature of a machine room where the server cabinet is located, and determining the temperature difference between the temperature of the server cabinet and the room temperature of the machine room;
and the heat dissipation rate determining module is used for determining the heat dissipation rate of the server cabinet based on the load gear of the server and the temperature difference value.
According to the technical scheme, the embodiment of the invention provides a method for monitoring the heat dissipation state of a server cabinet based on a cloud platform and a system for monitoring the heat dissipation state of the server cabinet based on the cloud platform. The invention is based on the cloud platform, calculates the heat dissipation rate of the server cabinet by comprehensively considering the load state of the server and the temperature state of the reference room temperature environment, enables a server administrator to intuitively know the real heat dissipation state of the server cabinet so as to consider whether to perform manual intervention, and can provide more accurate reference basis for automatic heat dissipation adjustment of the server cabinet.
Drawings
Fig. 1 is a technical environment configuration diagram for monitoring a heat dissipation state of a server cabinet based on a cloud platform according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating steps of a method for monitoring a heat dissipation state of a server cabinet based on a cloud platform according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating steps of a method for querying heat dissipation status information according to an embodiment of the present invention;
fig. 4 is a block diagram of a system for monitoring a heat dissipation state of a server cabinet based on a cloud platform according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The server cabinet adopts a common heat dissipation method at present, wherein a temperature sensor is arranged in the server cabinet, and when the temperature in the server cabinet exceeds a temperature critical value, a radiator of the server cabinet is operated to dissipate heat of the server cabinet. And when the temperature in the cabinet is lower than the temperature critical value, closing the radiator of the server cabinet and stopping radiating.
Compared with a heat dissipation method for keeping the operation of a cabinet radiator all the time, the heat dissipation method for the server cabinet in the related art can prevent unnecessary idling and reduce power consumption caused by the radiator. However, this method is only based on the temperature of the server cabinet, and has serious errors and hysteresis. For example, when the cabinet is heated to a certain degree by the temperature emitted by the server, and reaches a critical temperature value, for example, 50 ℃, the inside of the server host may have heated up to 80 ℃, and in this case, the heat is dissipated from the server cabinet, such as the heat dissipation due to the nature of remediation, and the reaction is not timely enough. For another example, the temperature of the server room is usually constant, for example, 20 ℃, when the temperature of the server cabinet reaches 50 ℃, heat dissipation is performed, the actual heat generated by the server is already large, and the heat dissipation of the cabinet radiator starts in time; however, the air conditioning system in the server room may have a problem that the room temperature may rise to 42 ℃, for example, and when the temperature of the server cabinet reaches 50 ℃, heat dissipation is performed, at this time, the server in the cabinet is actually in an idle state all the time, and there is no large amount of heat generated in the future for a long time, and at this time, it is not necessary for the cabinet radiator to perform heat dissipation.
In addition, in the server room, the number of server cabinets and servers in the server cabinets is often large, and server managers cannot intuitively know the heat dissipation condition of each server cabinet, so that the situations of heat radiator damage, local temperature abnormality and the like cannot be dealt with in time.
Therefore, the embodiment provides a method for monitoring a heat dissipation state of a server cabinet based on a cloud platform and a system for monitoring a heat dissipation state of a server cabinet based on a cloud platform, which comprehensively consider a load state of a server and a temperature state of a reference room temperature environment to calculate a heat dissipation rate, so that a server administrator can intuitively know whether the true heat dissipation state of the server cabinet is good or bad, and a more accurate reference basis can be provided for automatic heat dissipation adjustment of the server cabinet.
The following describes embodiments of the present invention with reference to the drawings.
Referring to fig. 1, fig. 1 is a technical environment configuration diagram for monitoring a heat dissipation state of a server cabinet based on a cloud platform according to an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a method for monitoring a heat dissipation state of a server cabinet based on a cloud platform, where the method is applied to the cloud platform, and the cloud platform establishes a communication connection with a server control platform.
The machine room at least comprises a server cabinet, and the server cabinet at least comprises a server.
The server control platform is located locally in the server data center, can acquire the load condition of one or more servers in at least one server cabinet, and can acquire the temperature of the server cabinet and the room temperature of a machine room where the server cabinet is located through the temperature sensor. The server control platform can establish remote communication connection with the cloud platform.
Referring to fig. 2, fig. 2 is a flowchart illustrating steps of a method for monitoring a heat dissipation state of a server cabinet based on a cloud platform according to an embodiment of the present invention. As shown in fig. 2, an embodiment of the present invention provides a method for monitoring a heat dissipation state of a server cabinet based on a cloud platform, where the method includes the following steps:
and S31, acquiring the CPU utilization rate of the server in the server cabinet from the server control platform.
The server control platform is located locally on the server, and the host carrying the server control platform can be placed in a server room.
Optionally, one server cabinet may be correspondingly provided with one server control platform, and the server platform may control all servers in the server cabinet.
Optionally, a server control platform may be provided in a plurality of server cabinets, and the server platform may control all servers in the server cabinets.
Specifically, the server control platform is preset with server codes of all the servers to be controlled, that is, unique identification codes of the servers, so that the cloud platform, the server control platform, and the management client can clearly identify the identity of each server and the identity of the server cabinet corresponding to each server. The server control platform can acquire the use condition of each controlled server through server coding.
The service condition of the server at least comprises the CPU utilization rate of the server. The CPU utilization may directly reflect the load status of the server host.
In this embodiment, the server control platform may obtain the CPU utilization of the server from the local server host in real time, and the cloud platform may obtain the CPU utilization of the server from the server control platform remotely and periodically, so as to know the real-time load status of each server.
And S32, determining the load gear of the server according to the CPU utilization rate.
Since the CPU utilization of the server can reflect the real-time load status of each server, the present embodiment determines the load gear of the server according to the CPU utilization, so as to reduce the subsequent calculation amount.
Wherein the load gear is positively correlated with the CPU usage rate. The higher the CPU usage, the higher the load gear of the server can be determined to be.
Specifically, under the condition that the CPU utilization rate is not greater than a preset first utilization rate, determining a load gear of a server as a first gear;
determining the load gear of the server as a second gear under the condition that the CPU utilization rate is greater than a preset first utilization rate and not greater than a preset second utilization rate;
and under the condition that the CPU utilization rate is greater than a preset second utilization rate, determining the load gear of the server as a third gear.
The preset first utilization rate is smaller than the preset second utilization rate, and the load gears are also gradually increased from the first gear to the third gear.
Illustratively, the preset first usage rate may be 40%, which means that the CPU usage rate reaches 40%; the preset second usage rate may be 70%, which means that the CPU usage rate reaches 70%. By way of example, assuming that the CPU usage of the server is 50%, the load gear of the server is the second gear.
S33, obtaining the temperature of the server cabinet and the room temperature of the machine room where the server cabinet is located, and determining the temperature difference between the temperature of the server cabinet and the room temperature of the machine room.
In this embodiment, the cloud platform may obtain the local temperature of the server cabinet and the room temperature of the machine room where the server cabinet is located through the server control platform.
Specifically, the server control platform can obtain the local temperature of the server cabinet and the room temperature of the room where the server cabinet is located from the local temperature sensor in real time, and the cloud platform can remotely and periodically obtain the local temperature of the server cabinet and the room temperature of the room where the server cabinet is located from the server control platform, so that the real-time temperature of the cabinet where the server is located and the environment temperature of the room where the server cabinet is located can be known.
The real-time temperature of the server cabinet is obtained through a temperature sensor which is preset in the server cabinet, and the room temperature of the machine room where the server cabinet is located is obtained through the temperature sensor which is preset in the machine room where the server cabinet is located. The present embodiment does not limit the type of the temperature sensor, and specifically, a non-contact thermal resistance temperature sensor, a thermocouple temperature sensor, an infrared temperature sensor, or the like may be used.
In this embodiment, considering that the temperature of the server cabinet in the working state is generally higher than the ambient temperature, the cloud platform determines the temperature difference between the temperature of the server cabinet and the room temperature of the computer room, and while referring to the temperature of the server cabinet, also knows the correlation between the actual temperature of the server cabinet and the server load, that is, knows whether the low temperature of the cabinet of the server is caused by the low ambient temperature or the low load, and knows whether the high temperature of the cabinet of the server is caused by the high ambient temperature or the high load, so as to determine the heat dissipation processing required by the server cabinet, and further can provide corresponding heat dissipation processing.
For example, when the temperature of the server cabinet is 40 ℃, if the temperature difference between the temperature of the server cabinet and the room temperature of the machine room is 2 ℃ and the room temperature of the machine room is 38 ℃, it can be inferred that the temperature of the server cabinet is mainly affected by the room temperature of the machine room at the moment; when the temperature of the server cabinet is 40 ℃, if the temperature difference between the temperature of the server cabinet and the room temperature of the machine room is 20 ℃, it can be inferred that the temperature of the server cabinet is mainly influenced by heat generated by the load at the moment.
And S34, determining the heat dissipation rate of the server cabinet based on the load gear of the server and the temperature difference value.
In this embodiment, considering that the heat dissipation processing does not require an excessively high calculation granularity and that the number of servers and server cabinets in the data center is large, in order to reduce the calculation amount of the real-time processing, the heat dissipation rate of the server cabinet may be determined by a load gear and a temperature difference without directly calculating the heat dissipation rate by using the CPU usage rate and the temperature, so as to reduce the calculation amount and meet the requirement of the real-time processing.
The heat dissipation rate represents the heat dissipation condition of the server cabinet and also represents the requirement of the server cabinet for heat dissipation treatment. Specifically, the higher the heat dissipation rate is, the worse the heat dissipation condition of the server rack is, and the higher the demand of the server rack for heat dissipation processing is.
Optionally, this embodiment provides a method for determining a heat dissipation rate of a server rack, where the method specifically includes:
determining a load coefficient of the server cabinet according to the load gear of the server; wherein the load factor is positively correlated with the load gear, and the load gear is positively correlated with the CPU usage rate;
and determining the heat dissipation rate of the server cabinet based on the load coefficient and the temperature difference value.
Specifically, the higher the load level of the server is, the larger the load factor of the server cabinet is, so as to reflect that the server has a high or low demand for heat dissipation in a future period of time.
For example, when the load gear of the server is higher, the higher the load of the server is, the server will continuously generate heat in this high load state, and under the effect of heat conduction, the temperature of the server cabinet will gradually rise, and if in the high load state of the server, that is, the heat of the server cabinet is immediately dissipated by the heat sink of the server cabinet, the temperature rise of the server cabinet can be delayed in time, so that the hysteresis of dissipating heat only with reference to the temperature of the server cabinet is avoided.
Further, considering that the lower the room temperature of the machine room is, the larger the heat dissipation help to the server cabinet is theoretically, and the lower the room temperature of the machine room is under the condition that the temperature difference is certain, the higher the possibility that the temperature of the server cabinet is raised by the influence of the load is, for this reason, the embodiment further provides a method for determining the heat dissipation rate of the server cabinet, and the method specifically includes:
determining the ratio of the temperature difference to the room temperature of the machine room;
and calculating the product of the ratio and the load coefficient, and determining the product as the heat dissipation rate of the server cabinet.
In this embodiment, the room temperature of the machine room is in a range of 15 ℃ to 45 ℃.
Through this embodiment, further utilize the ratio of temperature difference and computer lab room temperature, show the required heat dissipation of server rack under different temperature difference, different room temperature ambient temperature more accurately and handle.
Exemplarily, assuming that the temperature difference between the temperature of the server cabinet and the room temperature of the machine room is 15 ℃, if the temperature of the server cabinet is 30 ℃ and the room temperature of the machine room is 15 ℃, the ratio of the temperature difference to the room temperature of the machine room is 1, and the ratio is larger at this time, which indicates that the server cabinet still reaches a higher temperature at a lower ambient temperature, and the temperature of the server cabinet is influenced by the load of the server to a higher degree; if the temperature of the server cabinet is 40 ℃ and the room temperature of the machine room is 25 ℃, the ratio of the temperature difference to the room temperature of the machine room is 0.6, which means that the server cabinet reaches a higher temperature and the temperature of the server cabinet is affected by the load of the server to a shallower degree at a higher ambient temperature.
Through this embodiment, based on the cloud platform, the load condition of server, server rack temperature, the computer lab room temperature at server rack place have been considered comprehensively to can know the heat dissipation demand of server rack more accurately, in real time, look over the heat dissipation condition of the server rack at arbitrary server place for managers, can also carry out pertinence ground automation or artificial heat dissipation and handle.
Considering that in most cases, a server rack often contains a plurality of servers in an operating state, in an alternative embodiment, when the number of servers in the server rack is multiple, the present invention further provides a method for determining a load step of a server, where the method specifically includes:
determining the average value of the CPU utilization rates of a plurality of servers according to the CPU utilization rates of the plurality of servers;
and determining the uniform load gears of the plurality of servers as the load gears of the servers according to the CPU utilization rate average value.
In this embodiment, the CPU utilization rates of the servers in the server rack are averaged to determine a uniform load gear of the servers in the server rack, which is used as a load gear corresponding to all the servers in the rack.
For example, if the CPU utilization rates of the plurality of servers in a certain server rack are 30%, 50% and 70%, respectively, the average CPU utilization rate of the plurality of servers in the server rack is 50%, and the load gear of the corresponding plurality of servers may be the second gear.
Through this embodiment, confirm the load gear of many servers with the mode of seeking average load, and then calculate the heat dissipation rate of server rack.
In the above embodiment, the load gears of the plurality of servers are determined in a manner of averaging the loads, and then the heat dissipation rate of the server rack is calculated, which has the advantages of simple calculation and small calculation amount, but on one hand, the influence of the heat dissipation situation of each server in the server rack on the rack cannot be calculated, and on the other hand, the worst heat dissipation situation cannot be processed in a targeted manner. Therefore, in another optional embodiment, when the number of the servers in the server cabinet is multiple, the present invention further provides a method for determining a heat dissipation rate of the server, where the method specifically includes:
respectively calculating a plurality of heat dissipation rate sub-values of the server cabinet based on the load gear of each server and the temperature difference value;
and determining the average value of the plurality of heat dissipation rate sub-values as the heat dissipation rate of the server cabinet, or determining the heat dissipation rate of the server cabinet according to the heat dissipation rate sub-value with the maximum value.
Exemplarily, assuming that the same server cabinet contains a server a and a server B in working states, if the CPU utilization of the server a is 30%, and it is determined that the load gear is the first gear, calculating a heat dissipation rate sub-value 0.3 corresponding to the server a according to the gear; and if the CPU utilization rate of the server B is 60%, determining that the load gear is a second gear, and calculating a heat dissipation rate sub-value 0.6 corresponding to the server B according to the gear. The average value can be obtained according to the heat dissipation rate sub-values, the heat dissipation rate of the server cabinet is determined to be 0.45, the heat dissipation rate reflects the overall heat dissipation condition of the server cabinet, and the method is more suitable for the condition that the number of servers in the working state in the server cabinet is small, such as not more than 10 servers. The heat dissipation rate sub-value with the largest value of 0.6 can be determined as the heat dissipation rate of the server cabinet, which indicates that servers needing heat dissipation are in the server cabinet urgently, and a higher heat dissipation requirement is provided, and the method is more suitable for the condition that the number of the servers in the working state in the server cabinet is large, such as more than 10 servers.
Through this embodiment, with the mode of asking for every server heat dissipation rate sub-value, confirm the heat dissipation rate of whole server rack to express the different heat dissipation processing demands of server rack to different situations.
Through the embodiment, the heat dissipation rate of the server cabinet is obtained, and the heat dissipation of the server cabinet can be controlled according to different heat dissipation processing requirements of the server cabinet represented by the heat dissipation rate. In an optional implementation manner, the present invention further provides a method for dissipating heat of a server rack, which specifically includes:
determining the heat dissipation power of a heat radiator according to the heat dissipation rate of the server cabinet and a preset heat dissipation rate threshold;
and controlling the radiator of the server cabinet to radiate the server cabinet according to the radiating power through the server control platform.
The normal value range of the preset heat dissipation rate threshold value can be preset according to the incidence relation among the room temperature of the machine room, the temperature of the server cabinet and the CPU utilization rate. Illustratively, the room temperature range of the machine room obtained according to the empirical value is 15-45 ℃, the temperature range of the server cabinet is 15-50 ℃, the maximum limit temperature difference under the normal condition except the conditions of radiator damage, abnormal power consumption and the like is 25 ℃, the room temperature of the machine room is 25 ℃ at the moment, the CPU utilization rate is 100%, and the maximum value of the preset heat dissipation rate threshold under the normal condition is 25 ℃/25 ℃ with 100% =1; and if the CPU utilization rate is 0% at minimum, the minimum value of the preset heat dissipation rate threshold is 0 under the normal condition. The preset heat dissipation rate threshold range is 0-1.
Through this embodiment, according to the different heat dissipation processing demands of heat dissipation rate representation server rack, can be through server control platform, the switch of the radiator of control server rack, and/or, the power gear to control the heat dissipation of server rack. For example, when the heat dissipation rate of the server is high, and the heat dissipation processing requirement of the server cabinet is high, the heat sink of the server cabinet can be controlled to be opened and be in a high-power gear position to perform low-power heat dissipation; when the heat dissipation rate of the server is low, the heat dissipation processing requirement of the server cabinet is low, the radiator of the server cabinet can be controlled to be opened and be in a low-power gear position, and high-power heat dissipation is carried out; when the heat dissipation rate of the server is particularly low, the representation server cabinet has almost no heat dissipation processing requirement, and the heat radiator of the server cabinet can be controlled to be closed without heat dissipation.
Further, to provide more efficient heat dissipation processing for a heat dissipation rate value, an embodiment of the present invention further provides a method for determining a heat dissipation power of a heat sink, which specifically includes:
when the heat dissipation rate of the server cabinet is smaller than a first preset heat dissipation rate threshold value, determining that the heat dissipation power of the heat dissipater is 0;
when the heat dissipation rate of the server cabinet is not less than a first preset heat dissipation rate threshold value and is less than a second preset heat dissipation rate threshold value, determining the heat dissipation power of the heat dissipater to be first heat dissipation power;
when the heat dissipation rate of the server cabinet is not smaller than a second preset heat dissipation rate threshold value, determining the heat dissipation power of the radiator as a second heat dissipation power;
the first preset heat dissipation rate threshold is smaller than the second preset heat dissipation threshold, and the first heat dissipation power is smaller than the second heat dissipation power.
Illustratively, the first preset heat dissipation rate threshold may be 0.3, and the second preset heat dissipation rate threshold may be 0.6. Correspondingly, when the heat dissipation rate is less than 0.3, the radiator does not work; when the heat dissipation rate is between 0.3 and 0.6, the radiator is opened and works at a first power gear with low power; when the heat dissipation rate is between 0.6 and 1, the radiator is opened, and the high-power work is carried out at the second power gear.
The first preset heat dissipation rate threshold and the second preset heat dissipation rate threshold may also be preset according to an association relationship among the room temperature of the machine room, the temperature of the server cabinet, and the usage rate of the CPU, and the specific setting method refers to setting of the range of the preset heat dissipation rate threshold in the above embodiment.
Considering that abnormal conditions such as radiator damage, abnormal power consumption and the like sometimes occur in the running process of the server, under the conditions, if heat is generated in the server under a high-load state, the temperature of the server cabinet can be greatly increased, and the high-load gear of the server brought by the high CPU utilization rate enables the value of the heat dissipation rate of the server cabinet to exceed the upper limit of the preset heat dissipation rate threshold range. Therefore, in an optional implementation manner, the present application further provides a method for server cabinet heat dissipation alarm, where the method specifically includes:
and when the heat dissipation rate of the server cabinet is not less than a third preset heat dissipation rate threshold value, sending an alarm signal to the management client so that the management client outputs alarm information, wherein the alarm information is a sound alarm signal and/or an image alarm signal.
The third preset heat dissipation rate threshold may be an upper limit of a preset heat dissipation rate threshold range. For example, assuming that the upper limit value of the preset heat dissipation rate threshold range is 1, when the heat dissipation rate of the server cabinet reaches 1, it is described that a problem may occur in heat dissipation of the server cabinet, and the cloud platform may send an alarm signal to the management client to alarm.
The management client is a client having a corresponding management authority for a corresponding server cabinet in the data center, and the management client can be located in the cloud platform or the server. The management client can also be connected through remote communication, interacts with the cloud platform, monitors the heat dissipation state of the server cabinet, and controls the heat dissipation of the server cabinet. The management client in the present embodiment may be, but is not limited to, a PC terminal or a mobile terminal.
Through this embodiment, send alarm information when server rack heat dissipation is unusual, make the administrator can more accurately in time know the heat dissipation of server rack is unusual to in time implement corresponding manual intervention measure.
Referring to fig. 3, fig. 3 is a flowchart illustrating steps of a method for querying heat dissipation status information according to an embodiment of the present invention. As shown in fig. 3, in an alternative embodiment, the present invention further provides a method for querying heat dissipation state information, where the number of server cabinets and servers in a data center is large, and it is difficult for a user to intuitively know the heat dissipation state of each server cabinet, and in order to facilitate the user to intuitively know the heat dissipation state of the server cabinet, the method specifically includes:
and S41, acquiring the server query code input by the user.
The server query code, that is, the server code that a user needs to query for a server, is used to query the heat dissipation state of the server cabinet where the corresponding server is located. Specifically, the cloud platform may remotely obtain the server query encoding input by the user from the management client.
S42, acquiring heat dissipation state information corresponding to the server query code from the server control platform according to the server query code; the heat dissipation state information at least includes one of the following: the heat dissipation rate of the server cabinet, the temperature of the server cabinet and the utilization rate of the CPU.
Specifically, the cloud platform can determine whether the management client side performing the query has the authority to query the server corresponding to the server query code through the identity verification, and perform the next query action only after the identity verification is passed.
Specifically, the cloud platform searches for a corresponding server code according to the server query code, that is, a server corresponding to the server query code, and searches for heat dissipation state information corresponding to the server from a cloud platform heat dissipation rate database according to the server code. The heat dissipation state information at least comprises heat dissipation state information of the server cabinet.
The heat dissipation state information of the server cabinet at least comprises one of the following information: the heat dissipation rate of the server cabinet, the temperature of the server cabinet and the CPU utilization rate of a server in the server cabinet. The CPU utilization rate of the servers in the server cabinet can be the average value of the CPU utilization rates of a plurality of servers.
Optionally, the heat dissipation state information of the server rack may further include sub-information of the heat dissipation state of each server in the server rack. The heat dissipation state sub-information of each server in the server cabinet at least comprises one of the following information: a heat dissipation rate sub-value of each server and a CPU utilization rate of each server.
Through this embodiment, can inquire the relevant each item heat dissipation state information of server rack through the cloud platform fast.
And S43, sending the heat dissipation state information to a management client so that the management client displays the heat dissipation state information.
Specifically, the heat dissipation state information may be presented in the form of a graph.
Through the embodiment, a user utilizes one server to inquire the code, based on the cloud platform, the server to be known and the corresponding heat dissipation state information can be quickly inquired, the heat dissipation state information comprises the heat dissipation state sub-information of all the servers in the server cabinet besides the heat dissipation state information of the server cabinet, so that the user can visually know the heat dissipation condition of each server cabinet in the data center and the detailed heat dissipation condition of each server, the server cabinet and the server with abnormal heat dissipation can be timely found, and further the corresponding manual intervention is carried out on the heat dissipation of the server.
Referring to fig. 4, fig. 4 is a block diagram of a system for monitoring a heat dissipation state of a server cabinet based on a cloud platform according to an embodiment of the present invention. As shown in fig. 4, based on the same inventive concept, an embodiment of the present invention further provides a system for monitoring a heat dissipation state of a server cabinet based on a cloud platform, where the system is applied to the cloud platform, the cloud platform establishes a communication connection with a server control platform, and the system includes:
a load information reading module 61, configured to obtain, from the server control platform, a CPU utilization of a server in a server rack;
a load gear determining module 62, configured to determine a load gear of the server according to the CPU utilization;
a temperature difference determining module 63, configured to obtain a temperature of a server cabinet and a room temperature of a machine room where the server cabinet is located, and determine a temperature difference between the temperature of the server cabinet and the room temperature of the machine room;
a heat dissipation rate determining module 64, configured to determine a heat dissipation rate of the server cabinet based on the load gear of the server and the temperature difference.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or terminal apparatus that comprises the element.
The method for monitoring the heat dissipation state of the server cabinet based on the cloud platform and the system for monitoring the heat dissipation state of the server cabinet based on the cloud platform are introduced in detail, specific examples are applied in the method for monitoring the heat dissipation state of the server cabinet based on the cloud platform to explain the principle and the implementation mode of the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the method; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (8)
1. A method for monitoring a heat dissipation state of a server cabinet based on a cloud platform is characterized by being applied to the cloud platform, wherein the cloud platform is in communication connection with a server control platform, and the method comprises the following steps:
acquiring the CPU utilization rate of a server in a server cabinet from the server control platform;
determining a load gear of a server according to the CPU utilization rate, wherein the load gear is positively correlated with the CPU utilization rate, and the higher the CPU utilization rate is, the higher the load gear of the server is;
determining a load coefficient of the server cabinet according to the load gear of the server, wherein the load coefficient is positively correlated with the load gear;
acquiring the temperature of a server cabinet and the room temperature of a machine room where the server cabinet is located, and determining the temperature difference between the temperature of the server cabinet and the room temperature of the machine room;
determining the ratio of the temperature difference to the room temperature of the machine room;
and calculating the product of the ratio and the load coefficient, and determining the product as the heat dissipation rate of the server cabinet.
2. The method of claim 1, wherein determining the load level of the server according to the CPU utilization when the number of servers in the server rack is multiple comprises:
determining the average value of the CPU utilization rates of a plurality of servers according to the CPU utilization rates of the plurality of servers;
and determining the uniform load gears of the plurality of servers as the load gears of the servers according to the CPU utilization rate average value.
3. The method of claim 1, wherein determining the heat dissipation rate of the server cabinet based on the load gear of the server and the temperature difference when the number of servers in the server cabinet is multiple comprises:
respectively calculating a plurality of heat dissipation rate sub-values of the server cabinet based on the load gear of each server and the temperature difference value;
and determining the average value of the plurality of heat dissipation rate sub-values as the heat dissipation rate of the server cabinet, or determining the heat dissipation rate of the server cabinet according to the heat dissipation rate sub-value with the maximum value.
4. The method of claim 1, further comprising:
determining the heat dissipation power of a heat radiator according to the heat dissipation rate of the server cabinet and a preset heat dissipation rate threshold value;
and controlling the radiator of the server cabinet to radiate the server cabinet according to the radiating power through the server control platform.
5. The method of claim 4, wherein determining the heat dissipation power of the heat sink according to the heat dissipation rate of the server cabinet and a preset heat dissipation rate threshold comprises:
when the heat dissipation rate of the server cabinet is smaller than a first preset heat dissipation rate threshold value, determining that the heat dissipation power of the heat dissipater is 0;
when the heat dissipation rate of the server cabinet is not less than a first preset heat dissipation rate threshold value and is less than a second preset heat dissipation rate threshold value, determining the heat dissipation power of the heat dissipater to be first heat dissipation power;
when the heat dissipation rate of the server cabinet is not smaller than a second preset heat dissipation rate threshold value, determining the heat dissipation power of the heat dissipater to be a second heat dissipation power;
the first preset heat dissipation rate threshold is smaller than the second preset heat dissipation threshold, and the first heat dissipation power is smaller than the second heat dissipation power.
6. The method of claim 1, further comprising:
and when the heat dissipation rate of the server cabinet is not less than a third preset heat dissipation rate threshold value, sending an alarm signal to the management client so that the management client outputs alarm information, wherein the alarm information is a sound alarm signal and/or an image alarm signal.
7. The method of claim 1, further comprising:
acquiring a server query code input by a user;
according to the server query code, acquiring heat dissipation state information corresponding to the server query code from the server control platform; the heat dissipation state information at least includes one of the following: the heat dissipation rate of the server cabinet, the temperature of the server cabinet and the utilization rate of the CPU;
and sending the heat dissipation state information to a management client so as to display the heat dissipation state information on the management client.
8. The utility model provides a system based on heat dissipation state of cloud platform monitoring server rack which characterized in that is applied to the cloud platform, communication connection is established with server control platform to the cloud platform, the system includes:
the load information reading module is used for acquiring the CPU utilization rate of the server in the server cabinet from the server control platform;
the load gear determining module is used for determining the load gear of the server according to the CPU utilization rate;
the temperature difference determining module is used for acquiring the temperature of a server cabinet and the room temperature of a machine room where the server cabinet is located, and determining the temperature difference between the temperature of the server cabinet and the room temperature of the machine room;
a heat dissipation rate determination module to: determining a load coefficient of the server cabinet according to the load gear of the server; wherein the load factor is positively correlated with the load gear, and the load gear is positively correlated with the CPU usage rate; determining the ratio of the temperature difference to the room temperature of the machine room;
and calculating the product of the ratio and the load coefficient, and determining the product as the heat dissipation rate of the server cabinet.
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| CN116600553B (en) * | 2023-07-18 | 2023-09-19 | 科瑞特空调集团有限公司 | Dynamic cooling control method and system for indoor server |
| CN116881085A (en) * | 2023-09-05 | 2023-10-13 | 北京华鲲振宇智能科技有限责任公司 | Method for optimizing energy consumption of server |
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