CN208207715U - A kind of radiator of intelligence big data processor - Google Patents
A kind of radiator of intelligence big data processor Download PDFInfo
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- CN208207715U CN208207715U CN201820576831.7U CN201820576831U CN208207715U CN 208207715 U CN208207715 U CN 208207715U CN 201820576831 U CN201820576831 U CN 201820576831U CN 208207715 U CN208207715 U CN 208207715U
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- fixedly connected
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- radiator
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Abstract
The utility model discloses a kind of radiators of intelligent big data processor, including pedestal and cabinet, heat dissipation tank is fixedly connected on the left of cabinet, and heat dissipation web plate is fixedly connected on the left of heat dissipation tank, metal plate is fixedly connected on the left of cabinet wall, annular heat-absorbing circle is fixedly connected on the right side of the metal plate, heat-conducting plate is fixedly connected on the left of the cabinet, the right side of the heat-conducting plate is fixedly connected with the left side of metal plate by heat-conducting block, heat conducting pipe is fixedly connected on the left of the heat-conducting plate, the left side of the heat-conducting plate and be located at heat conducting pipe outer surface be fixedly connected with sliding rail, the outer surface of the sliding rail slidably connects sliding shoe, the utility model relates to processor technical fields.The radiator of the intelligence big data processor, using annular heat-absorbing circle, metal plate and heat-conducting plate between cooperation, the intracorporal heat of case can be led into heat dissipation tank, solve the problems, such as in cabinet that motor is easy to generate heat and then causes safety accident.
Description
Technical field
The utility model relates to processor technical field, specially a kind of radiator of intelligent big data processor.
Background technique
Radiator is building block important, basic in hot water (or steam) heating system.Hot water drops in radiator
Warm (or steam condenses in radiator) achievees the purpose that heating to indoor heating.The metal consumption and cost of radiator are being adopted
Occupy sizable ratio in heating system, therefore, the correct selection of radiator is related to the economic indicator and operational effect of system.Together
The heat transfer coefficient of sample material radiator is higher, and thermal property is better.Can be used increase outer wall heat dissipation area (adding the wing (rib) piece),
Improve flowing velocity (such as steel slice radiator covering), the strong radiator appearance radiance of radiator surrounding air
(such as outer surface is decorated with the high coating of radiation coefficient) and reduce the (steel pipe and string of such as steel slice radiator between radiator each section
Piece) the measures such as thermal contact resistance improve the thermal property of radiator.
Existing intelligence big data processor is easy to cause in processor that the motor feels hot since the working time is longer,
And then safety accident is easily caused, or even cause that fire occurs.
Utility model content
In view of the deficiencies of the prior art, the utility model provides a kind of radiator of intelligent big data processor, solution
Intelligent big data processor determined since the working time is longer, has been easy to cause in processor that the motor feels hot, and then has been easy to draw
Safety accident is played, or even causes the problem of fire occurs.
In order to achieve the above object, the utility model is achieved by the following technical programs: a kind of intelligence big data processing
The radiator of device, including pedestal and cabinet are fixedly connected with heat dissipation tank on the left of the cabinet, and the left side of heat dissipation tank is fixed
It is connected with heat dissipation web plate, metal plate is fixedly connected on the left of the cabinet wall, is fixedly connected on the right side of the metal plate
Annular heat-absorbing circle is fixedly connected with heat-conducting plate on the left of the cabinet, passes through on the left of the right side of the heat-conducting plate and metal plate
Heat-conducting block is fixedly connected, and is fixedly connected with heat conducting pipe on the left of the heat-conducting plate, the left side of the heat-conducting plate and is located at heat conducting pipe
Outer surface be fixedly connected with sliding rail, the outer surface of the sliding rail slidably connects sliding shoe, and the left side of the sliding shoe is fixed
It is connected with fan case, the inside of the fan case is rotatably connected to flabellum by guide post.
Preferably, rotating bar is fixedly connected on the right side of the fan case, and the outer surface of rotating bar offers sliding slot.
Preferably, the left side of the cabinet and be located at heat-conducting plate the back side be fixedly connected with support plate, the support plate
Top is fixedly connected with motor, and the front of the heat-conducting plate is rotatably connected to disk, and the front of the disk is fixedly connected with convex
Block, and the outer surface of convex block and the inner surface of sliding slot are slidably connected.
Preferably, one end of the motor output shaft is fixedly connected with rotation axis, and the one end of rotation axis far from motor with
The back side of disk is fixedly connected.
Preferably, it opens up fluted at the top of the pedestal, is fixedly connected with guide block at the top of the groove, and guide block
Side is fixedly connected with fixing axle, and the fixing axle slidably connects sliding block far from the outer surface of guide block one end, the sliding block
Spring is fixedly connected between side and the side of guide block.
Preferably, the bottom of the cabinet is fixedly connected with sliding angle, and the quantity at the sliding angle is two, two sliding angles
Opposite side is flexibly connected with the side of sliding block.
Beneficial effect
The utility model provides a kind of radiator of intelligent big data processor.Have it is following the utility model has the advantages that
(1), the radiator of the intelligence big data processor by being fixedly connected with heat dissipation tank on the left of cabinet, and dissipates
It is fixedly connected with heat dissipation web plate on the left of hot tank, metal plate is fixedly connected on the left of cabinet wall, the right side of metal plate is fixed
It is connected with annular heat-absorbing circle, heat-conducting plate is fixedly connected on the left of cabinet, the right side of heat-conducting plate and the left side of metal plate are by leading
Heat block is fixedly connected, and is fixedly connected with heat conducting pipe on the left of heat-conducting plate, the left side of the heat-conducting plate and outer surface for being located at heat conducting pipe is solid
Surely it is connected with sliding rail, the outer surface of sliding rail slidably connects sliding shoe, fan case, fan case are fixedly connected on the left of sliding shoe
Inside flabellum is rotatably connected to by guide post, using annular heat-absorbing circle, metal plate and heat-conducting plate between cooperation, can be by case
Intracorporal heat is led into heat dissipation tank, solves the problems, such as that motor is easy to generate heat and then causes safety accident in cabinet.
(2), the radiator of the intelligence big data processor, by being fixedly connected with rotating bar on the right side of fan case, and
The outer surface of rotating bar offers sliding slot, the left side of the cabinet and back side for being located at heat-conducting plate is fixedly connected with support plate, support plate
Top be fixedly connected with motor, the front of heat-conducting plate is rotatably connected to disk, and the front of disk is fixedly connected with convex block, and convex
The outer surface of block and the inner surface of sliding slot are slidably connected, and can drive fan using the cooperation between motor, rotation axis and rotating bar
Case sliding rail surface pivots, can the comprehensive heat by between heat conducting pipe be discharged, accelerate radiating efficiency.
(3), the radiator of the intelligence big data processor is fixedly connected with sliding angle by the bottom of cabinet, sliding angle
Quantity is two, and the opposite side in two sliding angles is flexibly connected with the side of sliding block, can using the cooperation between sliding angle, sliding block
Damping is carried out to intelligent big data processor, the small part in processor is avoided to fall.
Detailed description of the invention
FIG. 1 is a schematic structural view of the utility model；
Fig. 2 is the side view of the utility model structure；
Fig. 3 is the partial enlarged view in the utility model Fig. 1 at A.
In figure: 1- pedestal, 2- cabinet, 3- heat dissipation tank, 4- heat dissipation web plate, 5- metal plate, 6- annular heat-absorbing circle, 7- are thermally conductive
Plate, 8- heat-conducting block, 9- heat conducting pipe, 10- sliding rail, 11- sliding shoe, 12- fan case, 13- guide post, 14- flabellum, 15- rotating bar,
16- sliding slot, 17- support plate, 18- motor, 19- disk, 20- convex block, 21- rotation axis, 22- groove, 23- guide block, 24- are fixed
The sliding angle axis, 25- sliding block, 26-.
Specific embodiment
The following will be combined with the drawings in the embodiments of the present invention, carries out the technical scheme in the embodiment of the utility model
Clearly and completely describe, it is clear that the described embodiments are only a part of the embodiments of the utility model, rather than whole
Embodiment.Based on the embodiments of the present invention, those of ordinary skill in the art are without making creative work
Every other embodiment obtained, fall within the protection scope of the utility model.
The utility model provides a kind of technical solution referring to FIG. 1-2: a kind of heat dissipation dress of intelligence big data processor
Set, including pedestal 1 and cabinet 2, the left side of cabinet 2 and be located at heat-conducting plate 7 the back side be fixedly connected with support plate 17, support plate 17
Top be fixedly connected with motor 18, fan case 12 can be driven using the cooperation between motor 18, rotation axis 21 and rotating bar 15
In the surface pivots of sliding rail 10, can the comprehensive heat by between heat conducting pipe 9 be discharged, accelerate radiating efficiency, motor 18 exports
One end of axis is fixedly connected with rotation axis 21, and the one end of rotation axis 21 far from motor 18 is fixedly connected with the back side of disk 19,
The front of heat-conducting plate 7 is rotatably connected to disk 19, and the front of disk 19 is fixedly connected with convex block 20, and the outer surface of convex block 20 with
The inner surface of sliding slot 16 is slidably connected, and the top of pedestal 1 opens up fluted 22, and the top of groove 22 is fixedly connected with guide block 23,
And the side of guide block 23 is fixedly connected with fixing axle 24, fixing axle 24 slidably connects sliding block far from the outer surface of 23 one end of guide block
25, spring 27 is fixedly connected between the side of sliding block 25 and the side of guide block 23, the bottom of cabinet 2 is fixedly connected with sliding angle
26, damping can be carried out to intelligent big data processor using the cooperation between sliding angle 26, sliding block 25, avoid small by zero in processor
Part is fallen, and the quantity at sliding angle 26 is two, and the opposite side in two sliding angles 26 is flexibly connected with the side of sliding block 25, cabinet 2
Left side be fixedly connected with heat dissipation tank 3, and the left side of heat dissipation tank 3 is fixedly connected with heat dissipation web plate 4, and heat can pass through heat dissipation web plate
4 exclude heat dissipation tank 3, are fixedly connected with metal plate 5 on the left of 2 inner wall of cabinet, the right side of metal plate 5 is fixedly connected with annular heat-absorbing
Circle 6, using annular heat-absorbing circle 6, metal plate 5 and heat-conducting plate 7 between cooperation, the heat in cabinet 2 can be led into heat dissipation tank
3, solve the problems, such as that motor is easy to generate heat and then causes safety accident in cabinet 2, the left side of cabinet 2 is fixedly connected with heat-conducting plate
7, the right side of heat-conducting plate 7 is fixedly connected with the left side of metal plate 5 by heat-conducting block 8, and the left side of heat-conducting plate 7 is fixedly connected with thermally conductive
Pipe 9, the quantity of heat conducting pipe 9 be it is multiple, the contact area with air can be increased, keep heating effect more preferable, the left side of heat-conducting plate 7 and
It is fixedly connected with sliding rail 10 positioned at the outer surface of heat conducting pipe 9, the outer surface of sliding rail 10 slidably connects sliding shoe 11, sliding shoe 11
Left side be fixedly connected with fan case 12, the right side of fan case 12 is fixedly connected with rotating bar 15, and the outer surface of rotating bar 15
Sliding slot 16 is offered, the inside of fan case 12 is rotatably connected to flabellum 14 by guide post 13.
In use, annular heat-absorbing circle 6 can absorb the heat in processor, and successively when the heat in processor is excessively high
Heat-conducting plate 7 is passed to by metal plate 5 and heat-conducting block 8, heat is taken heat to heat dissipation by several heat conducting pipes 9 again by heat-conducting plate 7
In case 3, while starting motor 18, motor 18 drives disk 19 to rotate by rotation axis 21, and disk 19 is by convex block 20 with turn
Lever 15 rotates, and rotating bar 15 drives fan case 12 in the surface pivots of sliding rail 10, can be comprehensive between heat conducting pipe 9
Heat is drained from heat dissipation web plate 4.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.
While there has been shown and described that the embodiments of the present invention, for the ordinary skill in the art,
It is understood that these embodiments can be carried out with a variety of variations in the case where not departing from the principles of the present invention and spirit, repaired
Change, replacement and variant, the scope of the utility model is defined by the appended claims and the equivalents thereof.
Claims (6)
1. a kind of radiator of intelligence big data processor, including pedestal (1) and cabinet (2), it is characterised in that: the cabinet
(2) it is fixedly connected on the left of heat dissipation tank (3), and is fixedly connected with heat dissipation web plate (4), the cabinet on the left of heat dissipation tank (3)
(2) it is fixedly connected on the left of inner wall metal plate (5), is fixedly connected with annular heat-absorbing circle (6) on the right side of the metal plate (5),
It is fixedly connected with heat-conducting plate (7) on the left of the cabinet (2), passes through on the left of the right side and metal plate (5) of the heat-conducting plate (7)
Heat-conducting block (8) is fixedly connected, and is fixedly connected with heat conducting pipe (9) on the left of the heat-conducting plate (7), the left side of the heat-conducting plate (7)
And the outer surface for being located at heat conducting pipe (9) is fixedly connected with sliding rail (10), the outer surface of the sliding rail (10) slidably connects sliding
Block (11) is fixedly connected with fan case (12) on the left of the sliding shoe (11), and the inside of the fan case (12) passes through guide post
(13) flabellum (14) are rotatably connected to.
2. a kind of radiator of intelligent big data processor according to claim 1, it is characterised in that: the fan case
(12) it is fixedly connected on the right side of rotating bar (15), and the outer surface of rotating bar (15) offers sliding slot (16).
3. a kind of radiator of intelligent big data processor according to claim 1, it is characterised in that: the cabinet
(2) the left side and back side for being located at heat-conducting plate (7) is fixedly connected with support plate (17), the top of the support plate (17) is fixed to be connected
It is connected to motor (18), the front of the heat-conducting plate (7) is rotatably connected to disk (19), and the front of the disk (19) is fixedly connected
Have convex block (20), and the outer surface of convex block (20) and the inner surface of sliding slot (16) are slidably connected.
4. a kind of radiator of intelligent big data processor according to claim 3, it is characterised in that: the motor
(18) one end of output shaft is fixedly connected with rotation axis (21), and rotation axis (21) one end and disk (19) far from motor (18)
The back side be fixedly connected.
5. a kind of radiator of intelligent big data processor according to claim 1, it is characterised in that: the pedestal
(1) it opens up fluted (22), is fixedly connected with guide block (23) at the top of the groove (22), and the side of guide block (23) at the top of
It is fixedly connected with fixing axle (24), the fixing axle (24) slidably connects sliding block far from the outer surface of guide block (23) one end
(25), spring (27) are fixedly connected between the side of the sliding block (25) and the side of guide block (23).
6. a kind of radiator of intelligent big data processor according to claim 1, it is characterised in that: the cabinet
(2) bottom is fixedly connected with sliding angle (26), and the quantity of the sliding angle (26) is two, two sliding angles (26) it is opposite one
Side is flexibly connected with the side of sliding block (25).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820576831.7U CN208207715U (en) | 2018-04-23 | 2018-04-23 | A kind of radiator of intelligence big data processor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820576831.7U CN208207715U (en) | 2018-04-23 | 2018-04-23 | A kind of radiator of intelligence big data processor |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN208207715U true CN208207715U (en) | 2018-12-07 |
Family
ID=64524950
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201820576831.7U Active CN208207715U (en) | 2018-04-23 | 2018-04-23 | A kind of radiator of intelligence big data processor |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN208207715U (en) |
-
2018
- 2018-04-23 CN CN201820576831.7U patent/CN208207715U/en active Active
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