CN112153865B - Big data center cooling system and install quick-witted case cabinet of this system - Google Patents

Big data center cooling system and install quick-witted case cabinet of this system Download PDF

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Publication number
CN112153865B
CN112153865B CN202010991062.9A CN202010991062A CN112153865B CN 112153865 B CN112153865 B CN 112153865B CN 202010991062 A CN202010991062 A CN 202010991062A CN 112153865 B CN112153865 B CN 112153865B
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data
cabinet body
temperature
module
sampler
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CN112153865A (en
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张亚飞
许�鹏
郑鸽
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Zhengzhou Jingcheng Energy Technology Co ltd
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Zhengzhou Jingcheng Energy Technology Co ltd
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    • H—ELECTRICITY
    • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
    • H05K7/00—Constructional details common to different types of electric apparatus
    • H05K7/20—Modifications to facilitate cooling, ventilating, or heating
    • H05K7/20709—Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
    • H05K7/20836—Thermal management, e.g. server temperature control
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches

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  • Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Hardware Design (AREA)
  • Thermal Sciences (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Radiation Pyrometers (AREA)

Abstract

The embodiment of the invention provides a large data center cooling system and a cabinet for installing the same, wherein the system comprises: collection module, processing module, classifier, execution module can acquire the thermal image around the target cabinet body through sampling module, utilizes the classifier trained in advance to classify the picture data by thermal image conversion, and quick and convenient opening of the work of dispelling the heat stops and judges to reduce temperature sensor's use by a wide margin, the cost is reduced.

Description

Big data center cooling system and install quick-witted case cabinet of this system
Technical Field
The invention relates to the technical field of data center heat dissipation, in particular to a large data center heat dissipation system and a chassis cabinet provided with the same.
Background
A plurality of servers are generally required to be placed in a large data center for large data service, and the servers are mostly installed in a cabinet body. When big data server is at the during operation, can need to give off a large amount of heats, in order to guarantee its normal work, consequently need dispel the heat to it, avoid it to appear overheated and influence work.
At present, a heat dissipation system of a large data center is generally performed through an air conditioner, but because the number of servers is large, the start and stop of air conditioner refrigeration need to be managed and controlled, so that the purpose of energy conservation is achieved.
However, at present, a temperature sensor is generally installed on each cabinet body, and whether to start or shut down the air conditioner is determined according to the temperature sampling result of the temperature sensor, which requires a large number of temperature sensors, and thus the cost is high and the problem is solved.
Disclosure of Invention
The embodiment of the invention aims to provide a large data center cooling system and a cabinet provided with the same, so as to realize remote temperature detection and control over an air conditioning system and greatly reduce the use of temperature sensors. The specific technical scheme is as follows:
in a first aspect, an embodiment of the present invention provides a large data center cooling system, including:
the acquisition module is used for acquiring thermal images around a target cabinet body on a data center site;
the processing module is used for receiving the thermal image and converting the thermal image into picture data in a preset format;
the classifier is in data connection with the processing module and is used for classifying the picture data and outputting the probability that the picture data belongs to a first classification result and a second classification result;
and the execution module is in data connection with the classifier and executes the starting and stopping of the heat dissipation work of the target cabinet body according to the extracted classification result corresponding to the higher probability.
The sampler and the temperature sensor are also included;
the sampler is in data connection with the processing module and is used for sharing the picture data;
the temperature sensor is in data connection with the sampler, is detachably mounted on the target cabinet body, and is used for acquiring temperature data of the target cabinet body and sending the temperature data to the sampler in real time;
the sampler compares the temperature data with a preset reference temperature value, and if the temperature data is greater than the preset reference temperature value, the first classification result is used as a classification label and added to picture data corresponding to the temperature data to generate picture samples, wherein the set of the picture samples is a training set;
the training set is used to train the classifier.
In a possible implementation, the method further comprises the steps of competing to generate the network; the countermeasure generation network receives the picture samples to generate an extension sample, and the training set comprises the extension sample.
In one possible implementation manner, the temperature sensor comprises a housing, and a temperature detection module, a wireless communication module and a power supply module which are arranged in the housing;
the temperature detection module is used for collecting the temperature data, the wireless communication module is in data connection with the temperature detection module, and the wireless communication module receives the temperature data and then sends the temperature data to the outside in a radio mode;
the sampler is in wireless data connection with the wireless communication module.
In a second aspect, an embodiment of the present invention provides a chassis cabinet for mounting a large data center cooling system, including a cabinet body and a cooling opening formed on the cabinet body;
the cabinet body is provided with a mounting hole, and the shell is detachably connected with the mounting hole.
In a possible implementation manner, the shell is fixedly connected with a magnetic ring, the inner wall of the mounting hole is coaxially provided with a first ring groove and a second ring groove, the groove bottoms of the first ring groove and the second ring groove are communicated through a U-shaped channel, and a clamping belt is arranged in the U-shaped channel in a sliding manner;
one end of the clamping belt is provided with a magnetic push block with the magnetic rings repelling each other, and the other end of the clamping belt is fixed with a clamping plate;
and the shell is provided with a positioning groove matched with the clamping plate.
In a possible implementation manner, a heat dissipation sheet is fixed on the surface of the cabinet body, a heat conduction column penetrating through the cabinet body is fixed on one surface, close to the cabinet body, of the heat dissipation sheet, and a heat absorption sheet is fixed on one section, far away from the heat dissipation sheet, of the heat conduction column.
The embodiment of the invention has the following beneficial effects:
according to the large data center heat dissipation system and the case cabinet provided with the system, the thermal images around the target cabinet body can be obtained through the sampling module, the pre-trained classifier is used for classifying the image data converted from the thermal images, and the start and stop of heat dissipation work can be judged quickly and conveniently, so that the use of temperature sensors is greatly reduced, and the cost is reduced.
Of course, not all of the advantages described above need to be achieved at the same time in the practice of any one product or method of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other embodiments can be obtained by using the drawings without creative efforts.
Fig. 1 is a schematic diagram of module connection of a large data center heat dissipation system according to an embodiment of the present invention;
fig. 2 is a sectional view of one side wall of the center cabinet according to the 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.
In a first aspect, an embodiment of the present invention provides a large data center cooling system, including:
the acquisition module is used for acquiring thermal images around a target cabinet body on a data center site;
the processing module is used for receiving the thermal image and converting the thermal image into picture data in a preset format;
the classifier is in data connection with the processing module and is used for classifying the picture data and outputting the probability that the picture data belongs to the first classification result and the second classification result;
and the execution module is connected with the classifier data and used for executing the starting and stopping of the heat dissipation work of the target cabinet body according to the classification result corresponding to the extracted higher probability.
According to the large data center heat dissipation system provided by the embodiment of the invention, the thermal images around the target cabinet body can be obtained through the sampling module, the pre-trained classifier is used for classifying the image data converted from the thermal images, and the start and stop of the heat dissipation work can be judged quickly and conveniently, so that the use of temperature sensors is greatly reduced, and the cost is reduced.
In the embodiment of the invention, the big data center cooling system further comprises a sampler and a temperature sensor;
the sampler is in data connection with the processing module and is used for sharing picture data;
the temperature sensor is in data connection with the sampler, is detachably mounted on the target cabinet body and is used for acquiring temperature data of the target cabinet body and sending the temperature data to the sampler in real time;
the sampler compares the temperature data with a preset reference temperature value, if the temperature data is greater than the preset reference temperature value, the first classification result is used as a classification label and added to the picture data corresponding to the temperature data to generate a picture sample, and the set of the picture samples is a training set;
the training set is used to train the classifier.
In the embodiment of the invention, the classifier is a deep learning model, the images of the specified type can be classified after training is finished, the probability of the classification is output, and the final classification result depends on the class of classification with higher probability.
In the embodiment of the invention, the method further comprises the steps of generating a network by the countermeasure; the countermeasure generation network receives the picture sample to generate an extended sample, and the training set comprises the extended sample. Adding the extended samples into the training set can enable the classifier to acquire more data during training, so that the classification accuracy of the classifier can be effectively improved.
As shown in fig. 1 and 2, the temperature sensor includes a housing 2, and a temperature detection module, a wireless communication module and a power supply module disposed in the housing 2;
the temperature detection module is used for collecting temperature data, the wireless communication module is in data connection with the temperature detection module, and the wireless communication module receives the temperature data and then sends the temperature data to the outside in a wireless mode;
the sampler is in wireless data connection with the wireless communication module.
The embodiment of the invention provides a chassis cabinet for mounting a large data center cooling system, as shown in fig. 2, comprising a cabinet body 1 and a cooling port 11 arranged on the cabinet body 1;
the cabinet body is provided with a mounting hole 12, and the shell 2 is detachably connected with the mounting hole.
When the temperature that the picture data at present moment correspond is acquireed to needs, can set up temperature sensor's shell 2 in mounting hole 12 to make things convenient for the training that the sample thief added categorised label and subsequent classifier to the picture data, and need not a large amount of temperature sensor, practice thrift the cost.
In the embodiment of the invention, a magnetic ring 21 is fixedly connected to the shell 2, a first ring groove 13 and a second ring groove 14 are coaxially arranged on the inner wall of the mounting hole 12, the groove bottoms of the first ring groove 13 and the second ring groove 14 are communicated through a U-shaped channel 15, and a clamping belt 16 is slidably arranged in the U-shaped channel 15;
one end of the clamping belt 16 is provided with a magnetic pushing block 17 with repulsive magnetic rings 21, and the other end is fixed with a clamping plate 18;
the shell 2 is provided with a positioning slot 22 matched with the clamping plate 18.
Only need insert the shell 2 in the mounting hole 12, push away magnetism ejector pad 17 by magnetic ring 21 for the snap-in strip 16 slides, and the snap-in board 18 inserts in constant head tank 22, can realize quick fixed, raises the efficiency.
In the embodiment of the invention, the surface of the cabinet body 1 is fixed with the heat dissipation sheet 3, one side of the heat dissipation sheet 3 close to the cabinet body 1 is fixed with the heat conduction column 31 penetrating through the cabinet body 1, and one section of the heat conduction column 31 far away from the heat dissipation sheet 3 is fixed with the heat absorption sheet 32.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims (6)

1. A big data center cooling system, comprising:
the acquisition module is used for acquiring thermal images around a target cabinet body on a data center site;
the processing module is used for receiving the thermal image and converting the thermal image into picture data in a preset format;
the classifier is in data connection with the processing module and is used for classifying the picture data and outputting the probability that the picture data belong to a first classification result and a second classification result;
the execution module is in data connection with the classifier and executes the starting and stopping of the heat dissipation work of the target cabinet body according to the extracted classification result corresponding to the higher probability;
the sampler and the temperature sensor are also included;
the sampler is in data connection with the processing module and is used for sharing the picture data;
the temperature sensor is in data connection with the sampler, is detachably mounted on the target cabinet body, and is used for acquiring temperature data of the target cabinet body and sending the temperature data to the sampler in real time;
the sampler compares the temperature data with a preset reference temperature value, and if the temperature data is greater than the preset reference temperature value, the first classification result is used as a classification label and added to picture data corresponding to the temperature data to generate picture samples, wherein the set of the picture samples is a training set;
the training set is used to train the classifier.
2. The big data center cooling system according to claim 1, further comprising a competing generation network; the countermeasure generation network receives the picture samples to generate an extension sample, and the training set comprises the extension sample.
3. The big data center cooling system according to claim 1, wherein the temperature sensor comprises a housing (2) and a temperature detection module, a wireless communication module and a power supply module which are arranged in the housing (2);
the temperature detection module is used for collecting the temperature data, the wireless communication module is in data connection with the temperature detection module, and the wireless communication module receives the temperature data and then sends the temperature data to the outside in a radio mode;
the sampler is in wireless data connection with the wireless communication module.
4. A cabinet for installing the big data center cooling system according to any one of claims 1 to 3, comprising a cabinet body (1) and a cooling port (11) formed on the cabinet body (1);
the cabinet body is provided with a mounting hole (12), and the shell (2) is detachably connected with the mounting hole.
5. The chassis cabinet according to claim 4, wherein a magnetic ring (21) is fixedly connected to the outer shell (2), a first ring groove (13) and a second ring groove (14) are coaxially formed in an inner wall of the mounting hole (12), the first ring groove (13) is communicated with a groove bottom of the second ring groove (14) through a U-shaped channel (15), and a locking belt (16) is slidably disposed in the U-shaped channel (15);
one end of the clamping belt (16) is provided with a magnetic pushing block (17) with the magnetic rings (21) repelling each other, and the other end is fixed with a clamping plate (18);
and the shell (2) is provided with a positioning groove (22) matched with the clamping plate (18).
6. The cabinet according to claim 5, wherein a heat dissipating sheet (3) is fixed on a surface of the cabinet body (1), a heat conducting column (31) penetrating through the cabinet body (1) is fixed on a surface of the heat dissipating sheet (3) close to the cabinet body (1), and a heat absorbing sheet (32) is fixed on a section of the heat conducting column (31) far away from the heat dissipating sheet (3).
CN202010991062.9A 2020-09-20 2020-09-20 Big data center cooling system and install quick-witted case cabinet of this system Active CN112153865B (en)

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CN109587445A (en) * 2018-11-18 2019-04-05 中设设计集团股份有限公司 A kind of security system of defense based on lamp networking

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