CN115406550A - Temperature detection method and temperature detection system - Google Patents
Temperature detection method and temperature detection system Download PDFInfo
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- CN115406550A CN115406550A CN202110579186.0A CN202110579186A CN115406550A CN 115406550 A CN115406550 A CN 115406550A CN 202110579186 A CN202110579186 A CN 202110579186A CN 115406550 A CN115406550 A CN 115406550A
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- G01K3/00—Thermometers giving results other than momentary value of temperature
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Abstract
A temperature detection method and a temperature detection system are provided, wherein the temperature detection method comprises the following steps: providing a data center, wherein the data center is provided with a region to be detected; acquiring temperature information of the area to be detected; generating a temperature distribution map of the data center according to the temperature information; therefore, the temperature distribution condition of each region in the data center can be obtained according to the temperature distribution condition on the distribution diagram, so that the positioning of local hot spots in the data center is realized, the layout of equipment can be performed in advance to eliminate the local hot spots, the operation safety of the data center is ensured, the operation risk of an information system is reduced, the shutdown time and the shutdown frequency are reduced, and the safe and sustainable operation of the data center is realized.
Description
Technical Field
The invention relates to the technical field of detection equipment, in particular to a temperature detection method and a temperature detection system.
Background
The data center bears all core system services in a factory, and with the gradual expansion of capacity, the status and the function of the data center become more and more important. With the strong development of company business, equipment in a data center is gradually increased, the heat of a single cabinet is continuously increased, the temperature of partial cabinets is overhigh, and the problem of local hot spots is caused.
At present, temperature sampling points in a data center are few and are distributed unevenly, only the temperature of an area near the temperature sampling points can be detected, and local hot spots in the data center cannot be found. When local hot spot problems occur, the shutdown of key servers and equipment due to high temperature and high heat can be caused, the service is interrupted, and great economic loss is caused to production practice work.
Therefore, there is a need for a system that can detect the temperature in the data center in a wide range, monitor the temperature in the data center by using a temperature detection system, and regulate the temperature in the data center.
Disclosure of Invention
The invention aims to provide a temperature detection method and a temperature detection system, which can realize large-scale temperature detection in a data center, realize the precise control of the temperature change of the data center, ensure the operation safety of the data center, reduce the operation risk of an information system, reduce the downtime, ensure the safe and reliable continuous operation of a factory information system and improve the production efficiency.
To solve the above problems, the present invention provides a temperature detection system, including: the information acquisition unit is used for acquiring the temperature information of the to-be-detected area of the data center; and the image generation unit is used for generating a temperature distribution map of the data center according to the temperature information.
Optionally, the temperature information includes position information of the area to be detected and average temperature information of the area to be detected.
Optionally, the information acquiring unit includes: the temperature acquisition module is used for acquiring temperature values of a plurality of points to be detected in the area to be detected; the position acquisition module is used for acquiring the position information of the area to be detected; and the calculation and storage module is used for calculating the average temperature value of the area to be detected according to the plurality of temperature values to form average temperature information and storing the average temperature information and the position information.
Optionally, the temperature sensor further comprises an alarm unit, wherein the alarm unit comprises a comparison module and an alarm module, and the comparison module is coupled to the calculation storage module and is used for comparing the average temperature information with a temperature threshold; the alarm module is coupled with the comparison module and used for giving an alarm when the average temperature information is larger than the temperature threshold value.
Optionally, the device further comprises a prediction unit for predicting the temperature variation trend of the region to be detected.
Optionally, the prediction unit includes: the reading module is used for reading the average temperature information in a certain period; and the analysis modeling module is used for analyzing the change trend of the average temperature information to establish a model and generate a prediction curve.
Correspondingly, the invention also discloses a temperature detection method, which comprises the following steps: providing a data center, wherein the data center is provided with a region to be detected; acquiring temperature information of the area to be detected; and generating a temperature distribution map of the data center according to the temperature information.
Optionally, the temperature information includes position information of the area to be detected and average temperature information of the area to be detected.
Optionally, the method for acquiring the average temperature information of the area to be detected includes: arranging a plurality of points to be detected in the area to be detected; acquiring a plurality of temperature values corresponding to the points to be detected; and calculating the average value of the temperature values to form the average temperature information of the area to be detected.
Optionally, the method for acquiring the position information of the to-be-detected region includes: drawing a position plan of the data center; and recording the position coordinates of the area to be detected to form the position information of the area to be detected.
Optionally, the method further includes setting a temperature threshold of the area to be detected, and performing alarm processing on the temperature information when the average temperature information is greater than the temperature threshold.
Optionally, the method further comprises predicting the temperature change trend of the area to be detected.
Optionally, the method for predicting the temperature variation trend of the area to be detected includes: acquiring the average temperature information in a certain period; and establishing a model according to the change trend of the average temperature information to generate a prediction curve.
Optionally, the model adopts a time series trend prediction model.
Compared with the prior art, the technical scheme of the invention has the following advantages:
according to the temperature detection method provided by the technical scheme of the invention, the temperature information of the to-be-detected area in the data center is acquired, and the temperature distribution diagram of the data center is generated according to the temperature information, so that the temperature distribution condition of each area in the data center can be acquired according to the temperature distribution condition on the distribution diagram, and the positioning of local hot spots in the data center is realized, so that the layout of equipment can be carried out in advance to eliminate the local hot spots, the operation safety of the data center is ensured, the operation risk of an information system is reduced, the shutdown time and times are reduced, and the safe and sustainable operation of the data center is realized.
Further, the method for acquiring the average temperature information of the area to be detected comprises the following steps: the method comprises the steps of setting a plurality of detection points to be detected in a region to be detected, obtaining temperature values corresponding to the plurality of detection points to be detected, calculating the average value of the plurality of temperature values to form average temperature information of the region to be detected, realizing temperature detection of different position points in the region to be detected by setting the plurality of detection points in the region to be detected, obtaining temperature change conditions of the different position points in the region to be detected, realizing fine control over the temperature in the region to be detected, and further realizing rapid deployment of equipment and cost saving.
Drawings
FIG. 1 is a flow chart of an embodiment of a temperature detection method according to an embodiment of the invention;
FIG. 2 is a simplified diagram of a data center plane distribution in accordance with one embodiment of the present invention;
fig. 3 is a flowchart of acquiring average temperature information of the area to be detected in one embodiment of the present invention;
FIG. 4 is a temperature profile of the data center generated from the temperature information of FIG. 2;
fig. 5 is a schematic structural diagram of a temperature detection system according to an embodiment of the invention.
Detailed Description
The current method for collecting the temperature of the data center generally uses the temperature of several sampling points to represent the temperature of the data center.
The inventor finds that when the method is used for detecting the temperature of the data center, the temperature conditions of all the areas to be detected in the data center cannot be detected due to the limited number of sampling points, and the temperature changes of different areas in the same areas to be detected cannot be detected, so that the temperature of part of the areas is low and the temperature of part of the areas is overhigh due to the fact that the equipment in the data center is unevenly distributed. The utility model discloses a temperature control system, including data center, sampling point, data center air conditioner, the whole temperature of using the ambient temperature near the temperature sampling point as data center, this sampling value can not represent each point position temperature in the data center completely, this temperature sampling value is inaccurate, can cause following two kinds of condition first, if the temperature near the sampling point risees, data center air conditioner sets for the temperature reduction down, can promote the power consumption, bring the waste of the energy, but if the temperature near the sampling point reduces, data center air conditioner sets for the energy saving up temperature, can cause other local hot spot regional temperatures to continue to rise, bring the shut down risk, influence production service.
The inventor researches and discovers that the temperature information of a to-be-detected area in the data center is acquired, and the temperature distribution diagram of the data center is generated according to the temperature information, so that the temperature distribution condition of each area in the data center can be acquired according to the temperature distribution condition on the distribution diagram, and the local hot spots in the data center are positioned, so that the local hot spots can be eliminated by arranging the equipment in advance, the operation safety of the data center is ensured, the operation risk of an information system is reduced, the shutdown time and the shutdown frequency are reduced, and the safe and sustainable operation of the data center is realized.
The inventor also researches and discovers that a plurality of detection points to be detected are arranged in the area to be detected, temperature values corresponding to the plurality of detection points to be detected are obtained, the average value of the plurality of temperature values is calculated, and average temperature information of the area to be detected is formed.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Fig. 1 is a flowchart of an embodiment of a temperature detection method according to the embodiment of the present invention, including:
step S10, providing a data center, wherein the data center is provided with a region to be detected;
and S20, acquiring the temperature information of the area to be detected.
And S30, generating a temperature distribution map of the data center according to the temperature information.
The steps of the temperature detection method are described in detail below with reference to the accompanying drawings.
Referring to fig. 2, fig. 2 is a simplified plan view of a data center, which provides a data center 100 having an area 101 to be detected.
In this embodiment, the data center 100 has a plurality of regions 101 to be detected, a large number of X86 hosts (not shown in the figure) are distributed in the regions 101 to be detected, the X86 hosts are distributed in almost all the regions 101 to be detected of the data center 100, and temperature sampling is performed by using an intake air temperature probe of the X86 hosts, so as to realize temperature sampling of different regions 101 to be detected in the data center 100.
In this embodiment, the X86 hosts in the area to be detected 101 are uniformly distributed at each point to be detected in the area to be detected 101, and on the one hand, the X86 hosts realize fine control of the temperature in the area to be detected 101 through continuous collection of the temperature of the point to be detected, so as to accurately obtain the ambient temperature in the area to be detected 101, and save the cost required for installing the temperature monitoring equipment; on the other hand, according to the fine control of the temperature in the area to be detected 101, the rapid deployment of the equipment in the area to be detected 101 is realized, and the optimized placement of the equipment in the area to be detected 101 is realized.
In this embodiment, a script is developed and temperature acquisition is performed by an IPMITool management tool.
In this embodiment, acquiring the temperature information of the area to be detected 101 includes acquiring the position information of the area to be detected and acquiring the average temperature information of the area to be detected.
In this embodiment, the method for acquiring the position information of the area to be detected 101 drawsbase:Sub>A position plan view (fig. 2) of the data center, records the position coordinates of the area to be detected 101, and forms the position information of the area to be detected, for example,base:Sub>A-01 andbase:Sub>A-02 in the drawing represent two different position information of the area to be detected 101.
In this embodiment, please refer to fig. 3 for a method of obtaining average temperature information of the area 101 to be detected.
Referring to fig. 3, a flowchart of obtaining the average temperature information of the area 101 to be detected is shown.
S40: arranging a plurality of points to be detected in the area 101 to be detected;
s50: acquiring temperature values corresponding to a plurality of points to be detected;
s60: and calculating the average value of the temperature values to form the average temperature information of the area to be detected.
In this embodiment, the X86 host is placed on the point to be detected, and the air inlet of the X86 host is provided with a temperature probe, so that the temperature data of different points to be detected in the area to be detected can be obtained only by performing data acquisition on the air inlet temperature probes of the hosts.
Referring to fig. 4, fig. 4 is a diagram illustrating a temperature distribution map of the data center generated by fig. 2 according to the temperature information.
In this embodiment, the generation of the temperature distribution map is implemented by using Python code according to the obtained average temperature information and the obtained position information.
In this embodiment, it can be seen from the data center temperature distribution situation in fig. 4 that the location point where the temperature distribution of the data center is high or the location point where the temperature distribution is low, so that the location of the local hot spot in the data center is achieved, and the layout of the device can be performed in advance to eliminate the local hot spot, thereby ensuring the operation safety of the data center, reducing the risk of operating the information system, reducing the time and frequency of shutdown, and achieving safe and sustainable operation of the data center.
In this embodiment, the temperature distribution of the data center is clearly seen from fig. 4, and this temperature detection method makes the temperature detection of the data center simple and convenient, and has a wide application range.
In this embodiment, a temperature threshold of the area 101 to be detected is set, and when the average temperature information is greater than the temperature threshold, the temperature information is subjected to alarm processing.
In this embodiment, different temperature thresholds are set for different detection areas 101, respectively, and are used for monitoring the temperature of the area 101 to be detected.
In this embodiment, the alarm processing and the generation of the temperature distribution map are synchronized, that is, when the average temperature is greater than the temperature threshold, the temperature distribution map is continuously generated while the alarm processing is performed; in other embodiments, the alarm processing may also be performed asynchronously to the temperature profile.
In the present embodiment, the reason for setting the temperature threshold is that the real-time temperature state of the area to be detected 101 can be monitored through the alarm process.
In this embodiment, the temperature distribution map may check the temperature distribution conditions of each to-be-detected area in the data center 100, plan the equipment placement in the data center 100 with the temperature as a reference, and observe the temperature distribution map, where if a certain to-be-detected area has a higher temperature, it is necessary to avoid adding new equipment to the to-be-detected area, or only install low-power equipment; if the temperature of a certain area to be detected is low, the new equipment enters the field, the area to be detected can be considered preferentially, the method is convenient and quick, and the method has a wide application range.
The method also comprises the step of predicting the temperature change trend of the area to be detected 101.
In this embodiment, the method for predicting the temperature variation trend of the region to be detected includes: acquiring the average temperature information in a certain period; and establishing a model according to the change trend of the average temperature information to generate a prediction curve.
In the present embodiment, the model employs a time series trend prediction model.
Time series trend prediction models can be roughly divided into three directions: based on statistics, such as exponential smoothing model ETS, autoregressive model AR, moving average model MA, autoregressive moving average model ARMA, differential ensemble moving average autoregressive model ARIMA, and the like; based on machine learning, such as fbprophet model; based on deep learning, such as LSTM model (Long Short-Term Memory RNN/Long Short-Term Memory artificial neural network).
In this embodiment, taking the current data as an example, for the relatively stable time series data of the temperature, the ETS index smoothing model is used to estimate the future temperature trend.
In this example, a trend predictive analysis algorithm was used to predict the temperature change in the data center 3 days into the future from the temperature data in the data center of approximately 7 days. Trend prediction can be implemented using a variety of different algorithm models, and trend prediction algorithms can be continually improved as the amount of data collected increases.
In this embodiment, the temperature data of the data center includes average temperature data, maximum average temperature data, and minimum average temperature data of the data center, where the average temperature data is: the average value of the temperatures of all the areas 101 to be detected; the highest average temperature data is: the average value of the highest detection points in the area 101 to be detected, and the lowest average temperature data are as follows: the average value of the points to be detected with the lowest temperature in all the areas 101 to be detected.
In the present embodiment, the overall trend of the temperature of the data center is calculated and predicted using a trend predictive analysis algorithm. If the overall trend of the temperature is upward and the monitoring upper limit is broken, the temperature of the air conditioner in the data center can be properly reduced. If the temperature continuously rises, whether the air conditioner load is enough to support the temperature requirement in the data center can be judged in advance, and the reconstruction time is provided for the reconstruction of the air conditioner in the data center. If the overall trend of the temperature is downward and the lower monitoring limit is broken through, the temperature of the air conditioner in the data center can be properly increased. If the temperature is continuously reduced, whether to start a Free Cooling system, which is a method for reducing the temperature in a data center by using natural cold air or water instead of an air conditioner, can be pre-judged in advance. By the method, the refrigeration power consumption of the data center can be greatly saved, and the aims of energy conservation and environmental protection are fulfilled.
Fig. 5 is a schematic structural diagram of a temperature detection system according to an embodiment of the present invention.
Accordingly, the present invention further provides a temperature detecting system 200 comprising:
an information acquisition unit 201, configured to acquire temperature information of the area to be detected 101 of the data center 100; and the image generating unit 202 is used for generating a temperature distribution map of the data center according to the temperature information.
In this embodiment, the temperature detection system 200 may generate the temperature distribution diagram of the data center according to the temperature information, and the temperature distribution conditions of the points to be detected of the data center, which are areas of local hot spots and which are areas with lower temperatures, can be seen from the temperature distribution diagram, so that the layout of the equipment can be performed in advance to eliminate the local hot spots, thereby ensuring the safety of the operation of the data center, reducing the risk of the operation of the information system, reducing the time and the number of times of shutdown, realizing the safe and sustainable operation of the data center, and having a wide application range.
In this embodiment, the temperature information includes position information of the area to be detected and average temperature information of the area to be detected.
In this embodiment, the information acquiring unit 201 includes: the temperature acquisition module 203 is used for acquiring temperature values of a plurality of points to be detected in the area to be detected; a position acquisition module 204, configured to acquire position information of the to-be-detected region; the calculation storage module 205 is configured to calculate an average temperature value of the area to be detected according to the plurality of temperature values to form average temperature information, and store the average temperature information and the location information.
In this embodiment, the temperature acquisition module 203 sets a temperature sensor at an air inlet of the X86 host, so as to acquire the temperature of the corresponding point to be detected.
In this embodiment, the image generation unit 202 is coupled to the calculation storage module 205, generates a temperature distribution map of the data center according to the temperature information,
the temperature monitoring device further comprises an alarm unit 206, wherein the alarm unit 206 comprises a comparison module 207 and an alarm module 208, the comparison module 207 is coupled with the calculation storage module 205 and is used for comparing the average temperature information with a temperature threshold; the alarm module 208 is coupled to the comparison module 207 for generating an alarm when the average temperature information is greater than the temperature threshold.
In this embodiment, the alarm unit 206 may detect the temperature information of the area to be detected in real time.
In this embodiment, the image generating unit 202 may generate a temperature distribution of each to-be-detected area in the data center, so as to implement optimal arrangement of the devices in the data center according to the temperature distribution.
With continuing reference to fig. 5, the apparatus further includes a prediction unit 209 for predicting a temperature variation trend of the area to be detected.
The prediction unit 209 includes: a reading module 210, configured to read the average temperature information in a certain period; and the analysis modeling module 211 is configured to analyze a variation trend of the average temperature information to build a model and generate a prediction curve.
In this embodiment, the reading module 210 is coupled to the computing storage module 205.
The model adopts a time series trend prediction model.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (15)
1. A temperature sensing system, comprising:
the information acquisition unit is used for acquiring the temperature information of the to-be-detected area of the data center;
and the image generation unit is used for generating a temperature distribution map of the data center according to the temperature information.
2. The temperature detection system according to claim 1, wherein the temperature information includes position information of the area to be detected and average temperature information of the area to be detected.
3. The temperature detection system according to claim 2, wherein the information acquisition unit includes: the temperature acquisition module is used for acquiring temperature values of a plurality of points to be detected in the area to be detected;
the position acquisition module is used for acquiring the position information of the area to be detected;
and the calculation and storage module is used for calculating the average temperature value of the area to be detected according to the plurality of temperature values to form average temperature information and storing the average temperature information and the position information.
4. The temperature detection system of claim 3, further comprising an alarm unit comprising a comparison module and an alarm module, the comparison module coupled to the computational storage module for comparing the average temperature information to a temperature threshold; the alarm module is coupled with the comparison module and used for giving an alarm when the average temperature information is larger than the temperature threshold value.
5. The temperature detection system according to claim 3, further comprising a prediction unit for predicting a temperature change tendency of the area to be detected.
6. The temperature sensing system of claim 5, wherein the prediction unit comprises: the reading module is used for reading the average temperature information in a certain period;
and the analysis modeling module is used for analyzing the change trend of the average temperature information to establish a model and generate a prediction curve.
7. The temperature sensing system of claim 6, wherein the model employs a time series trend prediction model.
8. A method of detecting temperature, comprising:
providing a data center, wherein the data center is provided with a region to be detected;
acquiring temperature information of the area to be detected;
and generating a temperature distribution map of the data center according to the temperature information.
9. The temperature detecting method according to claim 8, characterized in that the temperature information includes position information of the area to be detected and average temperature information of the area to be detected.
10. The temperature detection method according to claim 9, wherein the method of acquiring the average temperature information of the region to be detected includes:
arranging a plurality of points to be detected in the area to be detected;
acquiring temperature values corresponding to a plurality of points to be detected;
and calculating the average value of the temperature values to form the average temperature information of the area to be detected.
11. The temperature detection method according to claim 9, wherein the method of acquiring the positional information of the region to be detected includes:
drawing a position plan of the data center;
and recording the position coordinates of the area to be detected to form the position information of the area to be detected.
12. The temperature detection method according to claim 9, further comprising setting a temperature threshold of the area to be detected, and performing alarm processing on the temperature information when the average temperature information is greater than the temperature threshold.
13. The temperature detection method according to claim 9, further comprising predicting a temperature change tendency of the region to be detected.
14. The temperature detecting method according to claim 13, wherein the method of predicting the temperature change tendency of the region to be detected includes:
acquiring the average temperature information in a certain period;
and establishing a model according to the change trend of the average temperature information to generate a prediction curve.
15. The method of claim 14, wherein the model employs a time series trend prediction model.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116299145A (en) * | 2023-05-11 | 2023-06-23 | 石家庄科林电气股份有限公司 | Safety monitoring method and device for electric energy meter and electric energy meter |
| CN116478778A (en) * | 2023-04-18 | 2023-07-25 | 泸州老窖股份有限公司 | Space samming type temperature control fermentation system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116478778A (en) * | 2023-04-18 | 2023-07-25 | 泸州老窖股份有限公司 | Space samming type temperature control fermentation system |
| CN116299145A (en) * | 2023-05-11 | 2023-06-23 | 石家庄科林电气股份有限公司 | Safety monitoring method and device for electric energy meter and electric energy meter |
| CN116299145B (en) * | 2023-05-11 | 2023-08-08 | 石家庄科林电气股份有限公司 | Safety monitoring method and device for electric energy meter and electric energy meter |
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