CN220359659U - Big data operation equipment - Google Patents

Big data operation equipment Download PDF

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Publication number
CN220359659U
CN220359659U CN202322068578.8U CN202322068578U CN220359659U CN 220359659 U CN220359659 U CN 220359659U CN 202322068578 U CN202322068578 U CN 202322068578U CN 220359659 U CN220359659 U CN 220359659U
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big data
air inlet
air
operator
modules
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CN202322068578.8U
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左政�
韩振东
闫碎玉
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Wuhai Dashi Intelligence Technology Co ltd
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Wuhai Dashi Intelligence Technology Co ltd
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Abstract

The application discloses big data operation equipment relates to operation equipment technical field, and big data operation equipment of this application includes a plurality of operator modules of arranging along the first direction, and is formed with the circulation passageway along the second direction in every operator module, and the both ends of the circulation passageway of operator module set up air inlet subassembly and air-out subassembly respectively to make air inlet subassembly, circulation passageway and air-out subassembly intercommunication form the wind channel, first direction and second direction mutually perpendicular. The big data operation equipment can improve the radiating effect of the big data operation equipment.

Description

Big data operation equipment
Technical Field
The application relates to the technical field of operation equipment, in particular to big data operation equipment.
Background
Big data, which refers to a data set that cannot be captured, managed and processed with conventional software tools within a certain time frame, is a massive, high growth rate and diversified information asset that requires a new processing mode to have stronger decision-making ability, insight discovery ability and process optimization ability. The key to the creation of big data value is the application of big data, which has been integrated into various industries with the rapid development of big data technology. The big data industry is rapidly developing into new generation information technology and service business state, namely, collecting, storing and associated analyzing data with huge numbers, scattered sources and various formats, discovering new knowledge, creating new value and improving new capability. Especially when outdoor operation occurs, because the intuitiveness and the information comprehensiveness of the multi-information fusion model generated after the big data are processed are good for helping personnel on the outdoor site to overview the whole world, the working efficiency on the site is improved, and therefore the big data information after being processed by the operation equipment is very necessary to be provided outdoors in time.
However, in the prior art, the big data computing equipment adopts a vertical cabinet structure, so that the heat removal efficiency is poor, internal heat accumulation is easy to generate, and long-term stable operation of the computing component under a high-load working condition is not facilitated.
Disclosure of Invention
The purpose of the present application is to provide a big data operation device, which can improve the heat dissipation effect of the big data operation device.
The embodiment of the application provides big data operation equipment on the one hand, including a plurality of operation submodules of arranging along the first direction, and be formed with the circulation passageway along the second direction in every operation submodule, the both ends of the circulation passageway of operation submodule set up air inlet subassembly and air-out subassembly respectively to make air inlet subassembly, circulation passageway and air-out subassembly intercommunication form the wind channel, first direction and second direction mutually perpendicular.
As an implementation mode, the operation submodule comprises a node frame and a mounting plate arranged on one side of the node frame, a plurality of operation chips are mounted on the mounting plate, and the circulation channel is formed on one side, far away from the mounting plate, of the operation chips.
As an implementation mode, the air inlet assembly and the air outlet assembly are arranged in a staggered mode in a third direction, and the third direction is perpendicular to a plane determined by the first direction and the second direction.
As an implementation manner, the plurality of operation submodules are a plurality of operation submodules and a storage submodule respectively, and the storage submodule comprises an encryption module for encrypting data stored in the storage submodule.
As an implementation manner, the big data operation device further includes a power supply assembly connected to the operator modules respectively, the power supply assembly is disposed at one side of the operator modules along the third direction, and the power supply assembly is configured to receive the dc power supply or the ac power supply and provide the dc power for the operator modules.
As an implementation mode, the big data operation equipment comprises a plurality of air outlet components and a plurality of air inlet components, wherein the air inlet components are in one-to-one correspondence with the operator modules, and the air outlet components are in one-to-one correspondence with the operator modules.
As an implementation mode, the big data operation equipment further comprises an equipment frame and a shell connected with the equipment frame, wherein a plurality of operation submodules, a plurality of air inlet assemblies, a plurality of air outlet assemblies and a power supply assembly are arranged in the equipment frame, and a plurality of air inlets are formed in the shell corresponding to each air inlet assembly.
As an implementation manner, an operation panel and a display panel are respectively connected with the plurality of operator modules, the operation panel is used for controlling operation of the operator modules, and the display panel is used for displaying states of the operator modules.
As an implementation mode, an air inlet filter screen is arranged at the air inlet.
As an implementation manner, the top surface of the shell is connected with a handle, and the bottom surface of the shell is connected with a plurality of rollers.
The beneficial effects of the embodiment of the application include:
the big data operation equipment comprises a plurality of operation sub-modules arranged along a first direction, wherein a circulation channel along a second direction is formed in each operation sub-module, air can circulate along the circulation channel, heat generated in the operation sub-modules is carried away in the circulation process, and air inlet assemblies and air outlet assemblies are respectively arranged at two ends of the circulation channel of each operation sub-module so that the air inlet assemblies, the circulation channel and the air outlet assemblies are communicated to form an air channel, wherein the air inlet assemblies are used for forming negative pressure, and external air enters the circulation channel; the air-out subassembly is used for forming the malleation for the air discharge in the circulation passageway, air inlet subassembly and air-out subassembly can accelerate the circulation of the interior air of circulation passageway, thereby increased the volume with the air of operation submodule piece contact, make the heat of operation submodule piece dispel fast, first direction and second direction mutually perpendicular, make the air runner can fully with operation submodule piece contact, realize quick heat dissipation, therefore, the big data operation equipment that this application embodiment provided can improve big data operation equipment's radiating effect.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a big data computing device according to an embodiment of the present application;
FIG. 2 is an exploded view of FIG. 1;
fig. 3 is a second schematic structural diagram of a big data computing device according to an embodiment of the present application.
Icon: 10-big data operation equipment; 11-an operator module; a 111-node frame; 112-mounting plates; 113-an operation chip; 114-an operator sub-module; 115-a storage sub-module; 13-an air inlet assembly; 14-an air outlet assembly; 15-a power supply assembly; 161-device frame; 162-a housing; 163-an air inlet; 164-an operation panel; 165-a display panel; 166-handle; 167-a roller; 168-a bottom plate; 169-an air inlet filter screen; 171-a temperature control assembly; 172-a switch; 173-maintenance window.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the present application, it should also be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
The big data computing device 10 consumes a large amount of power to meet the calculation requirement when processing and storing big data, so a large amount of heat can be generated in the calculation process, and the big data computing device 10 in the prior art adopts a vertical cabinet structure, so that the heat dissipation effect is poor.
The embodiment of the application provides big data operation equipment 10, as shown in fig. 1, fig. 2 and fig. 3, the big data operation equipment comprises a plurality of operation submodules 11 arranged along a first direction (such as a B direction in fig. 1), a circulation channel along a second direction (such as an a direction in fig. 1) is formed in each operation submodule 11, two ends of the communication channel of the operation submodule 11 are respectively provided with an air inlet component 13 and an air outlet component 14, so that the air inlet component 13, the circulation channel and the air outlet component 14 are communicated to form an air channel, and the first direction and the second direction are mutually perpendicular.
When the big data operation equipment 10 provided by the embodiment of the application is used, the air inlet component 13 and the air outlet component 14 are positioned at two ends of the operation submodule 11, so that the air inlet component 13 is positioned at one end of the circulation channel, the air outlet component 14 is positioned at the other end of the circulation channel, and the air inlet component 13 forms negative pressure at one end of the circulation channel, so that external air enters the circulation channel; the air-out subassembly 14 is in the positive pressure in the other end formation of circulation passageway for the air in the circulation passageway is discharged, and air inlet subassembly 13, circulation passageway and air-out subassembly 14 form the wind channel, and the negative pressure that air inlet subassembly 13 formed makes external air get into the circulation passageway fast, and the positive pressure that air-out subassembly 14 formed makes the air in the circulation passageway discharge fast, thereby has accelerated the flow of the air in the circulation passageway, realizes the quick heat dissipation of operator module 11.
Because each operator module 11 includes a flow channel, each operator module 11 can quickly dissipate heat, and the heat dissipation effect is improved.
In addition, in order to reduce the volume occupied by the big data computing device 10, in the embodiment of the present application, the computing chips 113 used for computing in the computing sub-modules 11 are disposed on the same plane, so that the computing sub-modules 11 can be flat, and when a plurality of computing sub-modules 11 are arranged, the short sides shown in fig. 1 can be along the first direction, so that more computing sub-modules 11 are disposed in a limited width, thereby being convenient for improving the computing capability of the big data computing device 10.
Specifically, the specific forms of the air inlet assembly 13 and the air outlet assembly 14 are not limited in this embodiment, and examples may be a suction device, a fan, and the like, as shown in fig. 2, and the embodiment of the present application uses the fan to form positive pressure or negative pressure, so as to implement the air inlet function of the air inlet assembly 13 and the air outlet function of the air outlet assembly 14.
The big data operation device 10 provided by the application comprises a plurality of operation sub-modules 11 arranged along a first direction, wherein a circulation channel along a second direction is formed in each operation sub-module 11, air can circulate along the circulation channel, heat generated in the operation sub-modules 11 is carried away in the circulation process, and air inlet assemblies 13 and air outlet assemblies 14 are respectively arranged at two ends of the circulation channel of the operation sub-modules 11 so that the air inlet assemblies 13, the circulation channel and the air outlet assemblies 14 are communicated to form an air channel, wherein the air inlet assemblies 13 are used for forming negative pressure so that external air enters the circulation channel; the air-out subassembly 14 is used for forming the malleation for the air discharge in the circulation passageway, air inlet subassembly 13 and air-out subassembly 14 can accelerate the circulation of the interior air of circulation passageway, thereby increased the volume with the air of operation submodule 11 contact, make the heat of operation submodule 11 dispel out fast, first direction and second direction mutually perpendicular, make the air runner can fully with operation submodule 11 contact, realize quick heat dissipation, therefore, big data operation equipment 10 that this application embodiment provided can improve big data operation equipment 10's radiating effect.
In addition, in order to be able to monitor the temperature of the operator module 11 in real time, the embodiment of the present application is further provided with a temperature control component 171, as shown in fig. 2, where the temperature control component 171 includes a temperature detector and a controller, the temperature detector detects the real-time temperature of the operator module 11, and the controller obtains the real-time temperature and performs a control action according to the real-time temperature.
Alternatively, as shown in fig. 2, the operator module 11 includes a node frame 111 and a mounting board 112 disposed on one side of the node frame 111, where a plurality of flow channels for the operation chips 113 are formed on the side of the operation chips 113 away from the mounting board 112, and the mounting board 112 is provided with a plurality of operation chip 113 flow channels.
According to the embodiment of the application, the operation submodule 11 is arranged to be the node frame 111 and the mounting plate 112, the plurality of operation chips 113 are mounted on the mounting plate 112, the operation chips 113 are located on the same plane, and the node frame 111 is in a frame shape, so that air can circulate to form a circulation channel.
It will be appreciated that the side of the computing chip 113 remote from the mounting board 112 forms a flow channel, and the plane of the mounting board 112 is perpendicular to the first direction.
In one implementation manner of the embodiment of the present application, the air inlet assembly 13 and the air outlet assembly 14 are arranged in a staggered manner in a third direction, and the third direction is perpendicular to a plane determined by the first direction and the second direction.
The air inlet assembly 13 and the air outlet assembly 14 are arranged in a staggered mode in the third direction, so that air entering through the air inlet assembly 13 can flow along the third direction, flowing air can be in contact with all the operation chips 113 on the whole mounting plate 112, heat on all the operation chips 113 is taken away, and damage caused by overheat of some operation chips 113 is avoided.
In order to further improve the heat dissipation effect, the air inlet assembly 13 and the air outlet assembly 14 may be disposed at two ends of the third direction, as shown in fig. 2.
Optionally, the plurality of operation sub-modules 11 are a plurality of operation sub-modules 114 and a storage sub-module 115, and the storage sub-module 115 includes an encryption module for encrypting data stored in the storage sub-module 115.
According to the embodiment of the application, the arithmetic unit sub-module 114 and the storage sub-module 115 are arranged separately, the encryption module is arranged in the storage Chu Zi module 115, the encryption module can encrypt data stored in the storage sub-module 115, and the data security of the storage sub-module 115 is improved.
In one implementation manner of the embodiment of the present application, the big data computing device 10 further includes a power supply assembly 15 connected to the operator module 11, where the power supply assembly 15 is disposed on one side of the operator module 11 along the third direction, and the power supply assembly 15 is configured to receive the dc power supply or the ac power supply and provide the dc power to the operator module 11.
When the big data computing device 10 is applied to an outdoor environment, the type of the power source that can be used is uncertain, in order to improve the applicability of the big data computing device 10, the power source component 15 is set in the embodiment of the application, the power source component 15 is respectively connected with the plurality of operator modules 11 to supply power to the plurality of operator modules 11, specifically, the power source component 15 is used for being connected with an external direct current power supply or an alternating current power supply, and provides direct current power for the operator modules 11. More specifically, when the external power supply is a direct current power supply, the power supply assembly 15 is capable of conducting direct current to the operator module 11; when the external power is an ac power supply, the power supply assembly 15 can convert the ac power into dc power and conduct the dc power to the operator module 11. The power supply assembly 15 enables the big data operation device 10 of the embodiment of the present application to be applied to two forms of power supplies, thereby improving the applicability of the big data operation device 10.
The number of the power supply units 15 in the embodiment of the present application is not limited, and may be one or two, and those skilled in the art may specifically set according to the power of the power supply units 15 and the number of the operator modules 11.
Those skilled in the art will appreciate that the big data computing device 10 includes the switch 172, and the embodiment of the present application is provided with two power components 15, and the two power components 15 are disposed at two ends of the lower side of the operational submodule 11 along the third direction, and the switch 172 is disposed between the two power components 15, so that the space can be fully utilized, and the space occupied by the big data computing device 10 is reduced.
Optionally, the big data computing device 10 includes a plurality of air outlet components 14 and a plurality of air inlet components 13, the air inlet components 13 are in one-to-one correspondence with the operator modules 11, and the air outlet components 14 are in one-to-one correspondence with the operator modules 11.
In order to improve the heat dissipation effect of the big data computing device 10, in the embodiment of the present application, the plurality of air outlet components 14 and air inlet components 13 are arranged, the air outlet components 14 are in one-to-one correspondence with the operator modules 11, and the air inlet components 13 are in one-to-one correspondence with the operator modules 11. Of course, the one-to-one correspondence between the air outlet assembly 14, the air inlet assembly 13 and the operator modules 11 is only one implementation of the embodiment of the present application, and in order to save cost, one air outlet assembly 14 may correspond to two operator modules 11, and one air inlet assembly 13 may correspond to two operator modules 11, as shown in fig. 2.
In one implementation manner of the embodiment of the present application, the big data computing device 10 further includes a device frame 161 and a housing 162 connected to the device frame 161, where the plurality of operational sub-modules 11, the plurality of air inlet assemblies 13, the plurality of air outlet assemblies 14, and the power supply assembly 15 are disposed in the device frame 161, and the housing 162 is provided with a plurality of air inlets 163 corresponding to each air inlet assembly 13.
The device frame 161 may be provided with a plurality of slots corresponding to the operator modules 11, where the operator modules 11 are respectively inserted into the slots, so as to fix the plurality of operator modules 11. Specifically, the housing 162 includes side walls and a bottom plate 168, and the power module 15 and the switch 172 are disposed on the bottom plate 168.
Optionally, the casing 162 is provided with an operation panel 164 and a display panel 165, which are respectively connected to the plurality of operator modules 11, the operation panel 164 is used for controlling operations on the operator modules 11, and the display panel 165 is used for displaying states of the operator modules 11.
In order to facilitate control of each operator module 11, an operation panel 164 connected to each of the plurality of operator modules 11 is provided on the housing 162, and each operator module 11 can be operated through the operation panel 164; similarly, in order to conveniently obtain the states of the operator modules 11, a display panel 165 is disposed on the housing 162, the display panel 165 is respectively connected with the plurality of operator modules 11, and the states of the plurality of operator modules 11 are displayed on the display panel 165, so that the states of the operator modules 11 can be obtained in real time.
In addition, in order to facilitate maintenance of each component of the big data computing device 10, in this embodiment of the present application, a maintenance window 173 may be provided on the housing 162, as shown in fig. 2, a cover plate is detachably connected to the maintenance window 173, when the maintenance of each component is required, the cover plate is removed, and an operator can maintain each component through the maintenance window 173.
In one implementation manner of the embodiment of the present application, the air inlet 163 is provided with an air inlet filter 169.
In order to prevent dust from entering the circulation channel along with the outside air, the outside air usually contains dust and is adhered to the operation chip 113, and influences the operation of the operation chip 113, the embodiment of the application is provided with an air inlet filter screen 169 at the air inlet 163, and the air inlet filter screen 169 can block the dust in the outside air, so that the dust is prevented from entering the circulation channel to influence the normal operation of the operation chip 113.
Optionally, a handle 166 is connected to the top surface of the housing 162, and a plurality of rollers 167 are connected to the bottom surface of the housing 162.
In order to facilitate the transfer of the big data computing device 10, in the embodiment of the application, the handle 166 is arranged on the top surface of the shell 162, the plurality of rollers 167 are connected to the bottom surface of the shell 162, and when the big data computing device 10 is transferred, the big data computing device 10 can move under the action of the rollers 167 only by pulling the handle 166.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims (10)

1. Big data operation equipment, its characterized in that includes a plurality of operators module of arranging along the first direction, and every be formed with the circulation passageway along the second direction in the operators module, the both ends of the circulation passageway of operators module set up air inlet subassembly and air-out subassembly respectively, so that air inlet subassembly circulation passageway with air-out subassembly intercommunication forms the wind channel, first direction with second direction mutually perpendicular.
2. The big data operation device according to claim 1, wherein the operation submodule includes a node frame and a mounting board provided on one side of the node frame, a plurality of operation chips are mounted on the mounting board, and the flow channel is formed on a side of the operation chips away from the mounting board.
3. The big data computing device of claim 1, wherein the air inlet assembly and the air outlet assembly are arranged in a staggered manner in a third direction, and the third direction is perpendicular to a plane defined by the first direction and the second direction.
4. The big data operation device according to claim 1, wherein the plurality of operation submodules are a plurality of operator submodules and a storage submodule, respectively, and the storage submodule includes an encryption module for encrypting data stored in the storage submodule.
5. The big data operation device according to claim 1, further comprising power supply components respectively connected to the operator modules, the power supply components being disposed on one side of the operator modules in the third direction, the power supply components being configured to receive direct current power or alternating current power and to supply direct current power to the operator modules.
6. The big data computing device of claim 5, comprising a plurality of air outlet components and a plurality of air inlet components, wherein the air inlet components are in one-to-one correspondence with the operator modules, and the air outlet components are in one-to-one correspondence with the operator modules.
7. The big data computing device of claim 6, further comprising a device frame and a housing connected to the device frame, wherein the plurality of computing sub-modules, the plurality of air inlet assemblies, the plurality of air outlet assemblies, and the power assembly are disposed in the device frame, and the housing is provided with a plurality of air inlets corresponding to each air inlet assembly.
8. The big data operation device according to claim 7, wherein an operation panel and a display panel are provided on the housing, the operation panel being for controlling operations on the operator modules, the display panel being for displaying states of the operator modules, respectively, connected to the plurality of operator modules.
9. The big data computing device of claim 7, wherein an air inlet filter screen is disposed at the air inlet.
10. The big data computing device of claim 7, wherein the top surface of the housing is provided with a handle, and the bottom surface of the housing is provided with a plurality of rollers.
CN202322068578.8U 2023-08-02 2023-08-02 Big data operation equipment Active CN220359659U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202322068578.8U CN220359659U (en) 2023-08-02 2023-08-02 Big data operation equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202322068578.8U CN220359659U (en) 2023-08-02 2023-08-02 Big data operation equipment

Publications (1)

Publication Number Publication Date
CN220359659U true CN220359659U (en) 2024-01-16

Family

ID=89500462

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202322068578.8U Active CN220359659U (en) 2023-08-02 2023-08-02 Big data operation equipment

Country Status (1)

Country Link
CN (1) CN220359659U (en)

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