CN114443715A - Data center visual monitoring method, system, equipment and medium based on CFD simulation - Google Patents
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Abstract
The invention provides a data center visual monitoring method, a data center visual monitoring system, data center visual monitoring equipment and a data center visual monitoring medium based on CFD simulation, wherein the method comprises the following steps: acquiring a monitoring data set when a data center runs in real time; matching the collected monitoring data group with a plurality of data groups which serve as initial conditions in a CFD simulation result database one by one; if the matching is successful, displaying a simulation result corresponding to the data group successfully matched with the monitoring data group in the CFD simulation result database; if the matching fails, importing the monitoring data set into the CFD physical model so as to enable the CFD physical model to carry out iterative calculation and output a new simulation result, and displaying the new simulation result; and adding the monitoring data set serving as an initial condition and a new simulation result corresponding to the monitoring data set into a CFD simulation result database. And after the matching is successful, the simulation result corresponding to the successfully matched data group can be immediately displayed, so that the iterative calculation process of simulation is omitted, the effect of monitoring the environment of the data center in real time is achieved, and the operation risk caused by the increase of the power density of the cabinet is reduced.
Description
Technical Field
The invention relates to the field of intelligent monitoring, in particular to a data center visual monitoring method, system, equipment and medium based on CFD simulation.
Background
The environmental condition of the data center is the basis for ensuring the normal operation of the servers in the cabinets, particularly, as the integration degree of the servers is higher and higher, the power of a single cabinet of a high-density server cabinet which is currently deployed in a common machine room (data center) reaches 20kW, and any deviation of the environment of the machine room can cause the downtime of the servers due to high temperature, thereby causing immeasurable loss to users.
At present, the environmental conditions of the data center mainly depend on a constant-temperature constant-humidity air conditioning system arranged in the data center to provide temperature regulation, and the air conditioning system adjusts the air supply temperature and the air supply quantity of the air conditioner through preset control parameters to achieve target values of the environmental temperature and the humidity of the data center. In the prior art, an air conditioning system is controlled based on real-time monitoring data of a machine room environment, a temperature cloud chart formed based on temperature sensors arranged on the site of a machine room meets the visual requirement of machine room environment monitoring to some extent, but the precision of the temperature cloud chart is limited by the number of the deployed sensors, the more the number of the sensors is, the higher the accuracy of the temperature cloud chart is, the less the number of the sensors is, the larger the deviation of the temperature cloud chart is, and the number of the sensors relates to the increase of the cost.
On the other hand, the temperature cloud chart formed based on the temperature sensor can only show the current temperature distribution condition of the data center, and the conditions and reasons for forming the temperature field cannot be analyzed. Temperature field distribution in the machine room is influenced by factors such as airflow organization, temperature, speed, pressure and buoyancy lift force, and only through comprehensive analysis of the factors, accurate grasping of the temperature distribution condition of the data center can be achieved from the source, and the operation risk of the data center is reduced.
In the prior art, a cfd (computational Fluid dynamics) simulation tool is used for performing a system analysis on physical phenomena such as Fluid flow and heat transfer, and a computer is used for performing numerical calculation and image display, so that the system analysis on the physical phenomena such as Fluid flow and heat transfer can be performed, and the method is an effective means for comprehensively and accurately acquiring various physical factors in a machine room. The distribution of each physical parameter of the machine room can be accurately obtained through CFD numerical simulation, and meanwhile, the relationship among the parameters can be analyzed, but the requirements of real-time monitoring and early warning cannot be met due to the overlong calculation time.
Disclosure of Invention
The invention aims to overcome at least one defect of the prior art, and provides a data center visual monitoring method, a data center visual monitoring system, data center visual monitoring equipment and a data center visual monitoring medium based on CFD simulation, which are used for solving the problems that conditions and reasons for forming a temperature field cannot be accurately analyzed, and real-time monitoring and early warning cannot be realized due to too long time required for calculation by using simulation software in the prior art.
The technical scheme adopted by the invention comprises the following steps:
in a first aspect, the present invention provides a data center visualization monitoring method based on CFD simulation, including: acquiring a monitoring data set when a data center runs in real time; the monitoring data set at least comprises real-time power of the cabinet in the data center, temperature and speed of an air supply outlet of the floor, and temperature and speed of a return air inlet of the air conditioner; matching the collected monitoring data group with a plurality of data groups which serve as initial conditions in a CFD simulation result database one by one; if the matching is successful, displaying a simulation result corresponding to the data group successfully matched with the monitoring data group in the CFD simulation result database; the simulation result is a preselected temperature field, a preselected speed field, a preselected pressure field distribution and/or a preselected airflow organization streamline; if the data sets serving as initial conditions fail to be matched with all the data sets serving as initial conditions, importing the monitoring data sets into a verified CFD physical model so as to enable the CFD physical model to carry out iterative calculation and output a new simulation result, and displaying the new simulation result; and adding the monitoring data set as an initial condition and a new simulation result corresponding to the monitoring data set into the CFD simulation result database.
In a second aspect, the present invention provides a CFD simulation-based data center visualization monitoring system, including: the data acquisition module is used for acquiring a monitoring data set when the data center runs in real time; the monitoring data set at least comprises real-time power of the cabinet in the data center, temperature and speed of an air supply outlet of the floor, and temperature and speed of a return air inlet of the air conditioner; the matching module is used for matching the acquired monitoring data set with a plurality of data sets which serve as initial conditions in the CFD simulation result database one by one; the display module is used for displaying the simulation result corresponding to the data group successfully matched with the monitoring data group in the CFD simulation result database when the matching module is successfully matched; the simulation result is one or more of the distribution of a temperature field, a velocity field and a pressure field of any pre-selected section and an airflow tissue streamline; the data updating module is used for importing the monitoring data set into a verified CFD physical model so as to enable the CFD physical model to carry out iterative calculation and output a new simulation result, and adding the monitoring data set serving as an initial condition and the new simulation result corresponding to the monitoring data set into the CFD simulation result database; and the display module is also used for displaying a new simulation result output by the CFD physical model when the matching of the matching module fails.
In a third aspect, the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and the processor implements the above-mentioned CFD simulation-based data center visual monitoring method when executing the computer program.
In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the CFD simulation-based data center visualization monitoring method described above.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a data center visual monitoring method based on CFD simulation, which is used for monitoring the environment condition of a data center in real time, matching is carried out by acquiring a monitoring data set in real time and a data set in a CFD simulation result database which is constructed in advance, the simulation result corresponding to the successfully matched data set can be displayed immediately after the matching is successful, the monitoring data set is not required to be input into a CFD physical model for simulation, the iterative computation process in the simulation process is omitted, and the effect of monitoring the environment of the data center in real time is achieved. Operation maintenance personnel of the data center can directly know the causal relationship formed by the temperature field, the speed field and the pressure field of the data center through a simulation result, so that a more accurate control strategy is made, the normal operation environment in the data center is ensured, and the operation risk caused by the increase of the power density of the cabinet is reduced. And when the CFD simulation result database does not have a matched data set, inputting the monitoring data set into the CFD physical model for simulation calculation so as to obtain a new simulation result, and supplementing and updating the monitoring data set and the new simulation result into the CFD simulation result database so as to improve the possibility of successful matching of the next group of monitoring data set.
Drawings
Fig. 1 is a schematic diagram of an internal layout of a data center in embodiment 1 of the present invention.
Fig. 2 is a flowchart illustrating steps S110 to S150 of the method according to embodiment 1 of the present invention.
Fig. 3 is a schematic diagram of a simulation result of the temperature field in embodiment 1 of the present invention.
Fig. 4 is a diagram illustrating simulation results of the velocity field in embodiment 1 of the present invention.
FIG. 5 is a flowchart illustrating steps T110 to T150 of the method according to embodiment 1 of the present invention.
FIG. 6 is a flowchart illustrating steps S210-S254 of the method according to embodiment 2 of the present invention.
Fig. 7 is a flowchart illustrating steps S231 to S232 included in steps S210 to S254 of the method according to embodiment 2 of the present invention.
Fig. 8 is a schematic diagram of system module composition in embodiment 3 of the present invention.
Detailed Description
The drawings are only for purposes of illustration and are not to be construed as limiting the invention. For a better understanding of the following embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
Example 1
The embodiment provides a data center visual monitoring method based on CFD simulation, which is used for monitoring the environmental condition of a data center in real time and responding to environmental abnormality of the data center in time, and specifically, by acquiring, calculating and analyzing various physical parameters and relations among the physical parameters in a machine room, a reasonable operation and maintenance strategy is determined in the future, such as a control signal to be sent to a constant temperature and humidity air conditioning system.
By way of illustration, the layout of the inside of the data center is as shown in fig. 1, and includes a plurality of cabinets disposed adjacently, a plurality of servers are placed in the cabinets, the back of the cabinet is an air outlet position of the cabinet, the front of the cabinet is an air inlet position of the cabinet, an air outlet of the air conditioner is located on the floor of the data center, and an air return is located on the wall of the data center and above the wall. An air conditioner fan of the data center directly supplies air to the lower part of the floor, and the air is sent into the cabinet through the floor air supply outlet, so that air flow is cooled for the cabinet and then returns to the air conditioner through the air return inlet.
As shown in fig. 2, the method comprises the steps of:
s110, acquiring a monitoring data set during real-time operation of the data center;
in this step, the monitoring data is obtained by a sensor arranged in the data center, and the obtained data at least includes real-time power of the cabinet in the data center, temperature and speed of the air supply outlet on the floor, and temperature and speed of the air return inlet of the air conditioner.
S120, matching the collected monitoring data set with a plurality of data sets serving as initial conditions in a CFD simulation result database one by one; if the matching is successful, executing step S130; if all the data sets fail to be matched, executing step S140;
the CFD simulation result database stores more than one data set as initial conditions and simulation results corresponding to the data sets as the initial conditions. The successful matching refers to the successful matching of the monitoring data set and one of the data sets as an initial condition.
Specifically, the process of matching the monitoring data set with the data set in the database is to determine a matching degree between the monitoring data set and the data set in the database, and based on this, the step S120 specifically includes the following steps:
s121, matching the collected monitoring data set with a plurality of data sets serving as initial conditions in a CFD simulation result database one by one, and determining the matching degree between the monitoring data set and the currently matched data set;
s122, judging whether the matching degree is larger than a preset matching threshold value, if so, indicating that the matching is successful, and executing the step S130; if not, the monitoring data set is failed to match the currently matched data set, the step S121 is continuously executed to match the monitoring data set with the next data set until the monitoring data set fails to match all the data sets, and the step S140 is executed.
S130, displaying a simulation result corresponding to the data group successfully matched with the monitoring data group in the CFD simulation result database, and re-executing the step S110 to obtain the next group of monitoring data.
Each data group serving as an initial condition in the CFD simulation result database and the corresponding simulation result can be pre-established with a mapping relation, so that the simulation result corresponding to the data group can be accurately found and displayed after the matching is determined to be successful.
The simulation result is the temperature field, the velocity field, the pressure field distribution and/or the air flow organization streamline of any pre-selected section, and is displayed in an animation mode, and the causal relationship formed by the temperature field, the velocity field and the pressure field of the data center can be visually reflected. By way of example, the location of hot air convolution and the location of return air retention can be separated from the velocity field of fig. 4 by a temperature field of a selected profile of the data center as shown in fig. 3 and a velocity field of a selected profile of the data center as shown in fig. 4.
When the monitoring data set is successfully matched with the data set in the database, the monitoring data set does not need to be input into the verified CFD physical model for simulation calculation, and the simulation result obtained through calculation and stored in the database can be directly displayed, so that the process that each monitoring data set needs to be input into the model for simulation calculation is omitted, the calculation amount is reduced, and the monitoring timeliness is improved.
And S140, importing the monitoring data set into the verified CFD physical model so as to enable the CFD physical model to carry out iterative calculation and output a new simulation result, and displaying the new simulation result.
If the matching fails, the simulation result corresponding to the monitoring data group does not exist in the database, and the monitoring data group needs to be imported into the verified CFD physical model, so that the CFD physical model calculates and outputs a new simulation result, and the new simulation result is displayed.
S150, the monitoring data set is used as an initial condition, a new simulation result corresponding to the monitoring data set is added to a CFD simulation result database, and the step S110 is executed again to obtain the next set of monitoring data.
In the step, the monitoring data set is used as an initial condition and added to a CFD simulation result database, and a new simulation result corresponding to the monitoring data set is added to the database, so that the data in the CFD simulation result database is more comprehensive. Because the successfully matched data set can directly display the simulation result corresponding to the data set, the verified CFD physical model does not need to be input again for iterative calculation and outputting a new simulation result, after the monitoring data set which is unsuccessfully matched and the new simulation result corresponding to the monitoring data set are updated and supplemented to the CFD simulation result database, when the next set of monitoring data is obtained, the probability of successful matching between the monitoring data set and the data set in the database is increased, the efficiency and timeliness of overall monitoring are effectively improved, and the simulation calculation process is saved.
In the data center visual monitoring method based on CFD simulation provided in this embodiment, the monitoring data set in the data center is obtained in real time, the monitoring data set is matched with the data set serving as the initial condition in the CFD simulation result database established in advance, and when the matching is successful, the simulation result corresponding to the successfully matched data set in the CFD simulation result database is directly retrieved and displayed, so that a process of inputting the monitoring data set into a CFD physical model for iterative computation is omitted, and an operation maintenance worker of the data center can control an air-conditioning system in the data center according to the simulation result, thereby achieving the effects of real-time monitoring and real-time adjustment. And because the simulation result is the preselected temperature field, velocity field, pressure field distribution and/or airflow organization streamline of any section, the operation and maintenance personnel of the data center can observe the causal relationship formed by the temperature field, the velocity field and the pressure field of the data center, so as to make a more accurate control strategy, ensure the normal operation environment in the data center and reduce the operation risk caused by the increase of the power density of the cabinet.
Specifically, before executing the method, a CFD simulation database needs to be constructed in advance, as shown in fig. 5, the construction of the CFD simulation database includes steps T110 to T150:
t110, establishing a geometric model of the data center and importing CFD simulation software;
in this step, the layout of the internal devices in the data center, the positions and sizes of the air supply outlet and the air return inlet on the floor of the machine room, the sizes of the cabinets in the machine room and the positions of the air inlet and the air outlet sides need to be predetermined, and a geometric model of the data center is established based on the data.
T120, setting boundary conditions and initial conditions of the model in CFD simulation software;
in this step, the boundary conditions are the law of the variation of the variable or its derivative with the place and time solved on the boundary of the solution area, specifically, the boundary conditions of the model include the air supply outlet of the floor, the air return inlet of the air conditioner, the speed, pressure and mass boundary conditions of the inlet and outlet of each cabinet, and the heat dissipation property of each cabinet. The initial condition is the spatial distribution of the individual solution variables of the object under consideration at the beginning of the process. Specifically, the initial conditions of the model include real-time power of the cabinet, air volume, speed and temperature of the air supply outlet of the floor, and air volume, speed and temperature of the return air inlet of the air conditioner. After the boundary condition and the initial condition of the model are set, the model starts automatic iterative computation, and a simulation result corresponding to the initial condition is output.
T130, acquiring actual data corresponding to the initial conditions set in the step T120, and repeatedly optimizing the initial conditions and the boundary conditions of the model according to the comparison result of the actual data and the simulation result to obtain a verified CFD physical model;
in this step, the actual data refers to target data that needs to be realized by controlling the initial condition, data actually measured from the data center after a certain period of time is compared with the simulation result calculated by the model, the deviation degree between the actual data and the simulation result is determined, the initial condition and the boundary condition of the model are repeatedly adjusted and optimized according to the deviation, and the deviation between the actual data and the simulation result of the CFD physical model is controlled within the control range. Finally, a CFD physical model with higher accuracy is obtained, namely the CFD physical model is verified.
T140, presetting a plurality of data groups as initial conditions;
the data sets stored in the CFD simulation result database as the initial conditions are all set in advance before the step S110 is executed, and the data sets stored in the CFD simulation result database also include the data sets as the initial conditions to be added later after the steps S110 to S150 are executed.
In this step, each preset data group serving as an initial condition corresponds to operating environment data of a data center, and is determined according to historical operating data in a CFD simulation result database, where the historical operating data includes both historical operating data serving as initial setting conditions of CFD simulation of the data center and historical operating data serving as an output result of the CFD simulation.
And T150, respectively importing the data into the verified CFD physical models to obtain corresponding simulation results, and storing each data group serving as an initial condition and the corresponding simulation results in a CFD simulation result database so as to construct the CFD simulation result database.
Preferably, a mapping relationship may be established in advance for the data sets and the simulation results corresponding thereto in the database, so as to accurately determine the simulation results corresponding to the successfully matched data sets in the subsequent steps.
Example 2
Based on the same concept as that of embodiment 1, embodiment 2 provides an intelligent data center early warning method based on CFD simulation, which adds an alarm and early warning process on the basis of a data center visual monitoring method based on CFD simulation, and judges whether an alarm and an early warning need to be given according to a preset threshold range after a simulation result or a new simulation result is displayed.
As shown in fig. 6, the method comprises the steps of:
s210, acquiring a monitoring data set during real-time operation of the data center;
s221, matching the acquired monitoring data set with a plurality of data sets serving as initial conditions in a CFD simulation result database one by one, and determining the matching degree between the monitoring data set and the currently matched data set;
s222, judging whether the matching degree is larger than a preset matching threshold value, if so, indicating that the matching is successful, and executing a step S230; if not, the monitoring data set is failed to match the currently matched data set, the step S221 is continuously executed to match the monitoring data set with the next data set until the monitoring data set fails to match all the data sets, and the step S240 is executed.
And S230, displaying a simulation result corresponding to the data group successfully matched with the monitoring data group in the CFD simulation result database, and executing the step S252.
And S240, importing the monitoring data set into the verified CFD physical model so that the CFD physical model performs iterative calculation and outputs a new simulation result, and displaying the new simulation result.
S251, adding the monitoring data set serving as an initial condition and a new simulation result corresponding to the monitoring data set into a CFD simulation result database;
s252, judging whether the displayed simulation result or the new simulation result exceeds a preset healthy operation threshold value, if so, executing a step S253; if not, step S210 is executed again to obtain the next set of monitoring data.
And S253, outputting a high-temperature alarm.
In a preferred embodiment, after the high temperature alarm is output in step S253, the method further includes:
and S254, marking the simulation result corresponding to the output alarm information or the data group corresponding to the new simulation result as an abnormal data group.
Alternatively, the data sets as the initial conditions preset in the construction of the CFD simulation result database may include data sets known as abnormal data and have been marked in advance.
The data group corresponding to the alarm information or the data group known as abnormal data is marked, early warning information can be sent out in advance in the matching process,
based on this, as shown in fig. 7, the specific implementation process of step S230 includes the following steps:
s231, judging whether the data group successfully matched with the monitoring data group is marked as an abnormal data group, if so, outputting early warning information, and executing the step S232; if not, executing step S232;
s232, displaying a simulation result corresponding to the data group successfully matched with the monitoring data group in the CFD simulation result database, and executing the step S252.
The intelligent early warning method for the data center based on the CFD simulation meets the requirements of real-time warning and early warning, is beneficial for operation maintenance personnel of the data center to control and adjust the environmental abnormity in the data center in advance or in time, and accurately acquires various physical parameters in the current data center through the displayed simulation result or the new simulation result, thereby realizing the accurate control of the temperature condition of the data center and reducing the operation risk caused by the increase of the power density of the cabinet. The method provided in this embodiment is based on the same idea as that provided in embodiment 1, and except for the differences mentioned in the above description, the definitions of steps, terms, etc., the working principles, the actions, the construction processes, the preferred or specific implementation manners, which are the same as those in embodiment 1, and the beneficial effects thereof are the same as those described in embodiment 1, and are not described again here.
Example 3
Based on the same concept as embodiments 1 and 2, embodiment 3 provides a CFD simulation-based data center visualization monitoring system, as shown in fig. 8, including:
the data acquisition module 310 is used for acquiring a monitoring data set when the data center runs in real time;
the monitoring data set at least comprises real-time power of a cabinet in the data center, temperature and speed of an air supply outlet of the floor, and temperature and speed of a return air inlet of the air conditioner;
and the matching module 320 is configured to match the acquired monitoring data set with a plurality of data sets serving as initial conditions in the CFD simulation result database one by one.
Specifically, the matching module 320 is configured to match the collected monitoring data set with a plurality of data sets serving as initial conditions in the CFD simulation result database one by one, and determine a matching degree between the monitoring data set and a currently matched data set. Judging whether the matching degree is greater than a preset matching threshold value, if so, indicating that the matching is successful; if not, the monitoring data group is failed to be matched with the currently matched data group, the monitoring data group is continuously matched with the next data group until the monitoring data group is failed to be matched with all the data groups, and the matching failure is indicated.
The display module 330 is configured to display, when the matching module 320 succeeds in matching, a simulation result corresponding to the data set successfully matched with the monitoring data set in the CFD simulation result database; and is also used for displaying a new simulation result output by the CFD physical model when the matching module 320 fails to match.
The simulation result is one or more of the preselected temperature field, velocity field, pressure field distribution of any profile and the air flow structure streamline;
and the data updating module 340 is configured to import the monitoring data set into the verified CFD physical model, so that the CFD physical model performs iterative computation and outputs a new simulation result, and add the monitoring data set as an initial condition and a new simulation result corresponding to the monitoring data set to the CFD simulation result database.
In a preferred embodiment, the system further comprises:
the alarm module 350 is configured to determine whether the simulation result displayed by the display module 330 or the new simulation result exceeds a preset healthy operation threshold, and if so, output a high temperature alarm.
The data collection module 310 is further configured to obtain the next monitoring data set after the alarm module 350 determines that the monitoring data set is completed.
The abnormal marking module 360 is configured to mark, after the alarm module 350 outputs the high-temperature alarm, the simulation result corresponding to the alarm information output by the alarm module 350 or the data group corresponding to the new simulation result as an abnormal data group. Alternatively, several data sets as initial conditions, which are preset when the CFD simulation result database is constructed, may include data sets known as abnormal data, and are marked in advance.
The early warning module 370 is configured to, when the matching module 320 succeeds in matching, determine whether a data set successfully matched with the monitoring data set is marked as an abnormal data set, and if so, output early warning information.
The system provided in this embodiment and the method provided in embodiments 1 and 2 are based on the same idea, and except for the differences mentioned in the above description, the same steps, definitions of terms, working principles, actions, construction processes, preferred or specific implementation manners, and the advantages brought by the same steps, terms, and the like in this embodiment and embodiments 1 and 2 are the same as those described in embodiments 1 and 2, and are not repeated herein.
Example 4
Based on the same concept as that in embodiments 1 and 2, this embodiment provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the CFD simulation-based data center visualization monitoring method provided in embodiment 1 or implements the CFD simulation-based data center intelligent early warning method provided in embodiment 2 when executing the computer program.
The present embodiment also provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the CFD simulation-based data center visualization monitoring method provided in embodiment 1, or implements the CFD simulation-based data center intelligent early warning method provided in embodiment 2.
It should be understood that the above-mentioned embodiments of the present invention are only examples for clearly illustrating the technical solutions of the present invention, and are not intended to limit the specific embodiments of the present invention. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention claims should be included in the protection scope of the present invention claims.
Claims (10)
1. A data center visual monitoring method based on CFD simulation is characterized by comprising the following steps:
acquiring a monitoring data set when a data center runs in real time;
the monitoring data set at least comprises real-time power of the cabinet in the data center, temperature and speed of an air supply outlet of the floor, and temperature and speed of a return air inlet of the air conditioner;
matching the collected monitoring data group with a plurality of data groups which serve as initial conditions in a CFD simulation result database one by one;
if the matching is successful, displaying a simulation result corresponding to the data group successfully matched with the monitoring data group in the CFD simulation result database;
the simulation result is a preselected temperature field, a preselected speed field, a preselected pressure field distribution and/or a preselected airflow organization streamline;
if the data sets serving as initial conditions fail to be matched with all the data sets serving as initial conditions, importing the monitoring data sets into a verified CFD physical model so as to enable the CFD physical model to carry out iterative calculation and output a new simulation result, and displaying the new simulation result;
and adding the monitoring data set as an initial condition and a new simulation result corresponding to the monitoring data set into the CFD simulation result database.
2. The visualization monitoring method for the data center based on the CFD simulation as claimed in claim 1, wherein the plurality of data sets as initial conditions in the CFD simulation result database includes a plurality of data sets as initial conditions which are preset, and a plurality of data sets as initial conditions which are added;
the preset data groups serving as initial conditions are determined according to historical operation data of the data center.
3. The CFD simulation-based visualization monitoring method for the data center according to claim 2, wherein the simulation results corresponding to a plurality of preset data sets serving as initial conditions in the CFD simulation result database are as follows: the method is obtained by respectively importing a plurality of preset data sets serving as initial conditions into the verified CFD physical model and performing iterative computation on the CFD physical model.
4. The method for visually monitoring a data center based on CFD simulation of claim 1, wherein the verified CFD physical model is: the method comprises the steps of importing a pre-established geometric model into CFD simulation software, setting boundary conditions and initial conditions of the model in the CFD simulation software, enabling the model to output a simulation result after iterative computation, obtaining actual data corresponding to the initial conditions, and repeatedly optimizing the initial conditions and the boundary conditions of the model according to a comparison result of the actual data and the simulation result to obtain the CFD physical model.
5. The visual monitoring method of the data center based on the CFD simulation, according to claim 4,
the initial conditions of the model comprise the real-time power of the cabinet, the air volume, the speed and the temperature of an air supply outlet of the floor, and the air volume, the speed and the temperature of an air return inlet of the air conditioner;
the boundary conditions of the model comprise the boundary conditions of the speed, the pressure and the quality of the air supply outlet of the floor, the air return inlet of the air conditioner, the inlet and the outlet of each cabinet and the heat dissipation property of each cabinet.
6. The visualized monitoring method for the data center based on the CFD simulation of any one of claims 1 to 5, further comprising: and after the simulation result or the new simulation result is displayed, judging whether the displayed simulation result or the new simulation result exceeds a preset healthy operation threshold value, and if so, outputting alarm information.
7. The visual monitoring method of the data center based on the CFD simulation, according to claim 6, further comprising: marking a simulation result corresponding to the output alarm information or a data group corresponding to the new simulation result as an abnormal data group;
and when the monitoring data group is matched with a plurality of data groups which serve as initial conditions in the CFD simulation database, if the monitoring data group is successfully matched with the CFD simulation database, judging whether the data group which is successfully matched with the monitoring data group is marked as an abnormal data group, if so, outputting early warning information.
8. A data center visual monitoring system based on CFD simulation is characterized by comprising:
the data acquisition module is used for acquiring a monitoring data set when the data center runs in real time;
the monitoring data set at least comprises real-time power of the cabinet in the data center, temperature and speed of an air supply outlet of the floor, and temperature and speed of a return air inlet of the air conditioner;
the matching module is used for matching the acquired monitoring data set with a plurality of data sets which serve as initial conditions in the CFD simulation result database one by one;
the display module is used for displaying the simulation result corresponding to the data group successfully matched with the monitoring data group in the CFD simulation result database when the matching module is successfully matched;
the simulation result is one or more of a preselected temperature field, a preselected velocity field, a preselected pressure field distribution of any profile and an airflow tissue streamline;
the data updating module is used for importing the monitoring data set into a verified CFD physical model so as to enable the CFD physical model to carry out iterative calculation and output a new simulation result, and adding the monitoring data set serving as an initial condition and the new simulation result corresponding to the monitoring data set into the CFD simulation result database;
and the display module is also used for displaying a new simulation result output by the CFD physical model when the matching of the matching module fails.
9. Computer device comprising a memory and a processor, wherein the memory stores a computer program, and wherein the processor implements the CFD simulation-based data center visualization monitoring method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, implements the CFD simulation-based data center visualization monitoring method according to any one of claims 1 to 7.
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