CN214623652U

CN214623652U - Big data processor of high-efficient operation

Info

Publication number: CN214623652U
Application number: CN202120518674.6U
Authority: CN
Inventors: 刘斌妮
Original assignee: Xi'an Lanruisi Intelligent Technology Co ltd
Current assignee: Xi'an Lanruisi Intelligent Technology Co ltd
Priority date: 2021-03-11
Filing date: 2021-03-11
Publication date: 2021-11-05
Anticipated expiration: 2031-03-11

Abstract

The utility model discloses a big data processor of high-efficient operation, including the rack, the inside fixed mounting of rack has the backup pad, and the top of backup pad is provided with big data processor. The utility model discloses a set up the rack, the backup pad, big data processor, a column, T type groove, T type piece, the standing groove, chucking mechanism, the movable block, the horizontal pole, the extension spring, the pull rod, the fixed plate, the cylinder, the ring, the square groove, the fixed slot, square hole, the sliding hole, support slide bar, the cooperation of spout and round handle is used, current high-efficient big data processor has been solved, inconvenient user installs high-efficient big data processor, the process of installation is loaded down with trivial details troublesome, user's time and energy's problem have been wasted, this high-efficient big data processor who moves, it installs high-efficient big data processor to possess the person of facilitating the use, the process of installation is lighter, the advantage of user's time and energy has been saved.

Description

Big data processor of high-efficient operation

Technical Field

The utility model belongs to the technical field of high-efficient big data processor, especially, relate to a big data processor of high-efficient operation.

Background

Big data, an IT industry term, refers to a data set that cannot be captured, managed, and processed with a conventional software tool within a certain time range, and is a massive, high-growth-rate, and diversified information asset that needs a new processing mode to have stronger decision-making power, insight discovery power, and process optimization capability.

Present high-efficient big data processor, in order to satisfy the demand in market, generally all to how to promote operating rate and how more person of facilitating the use uses to optimize, often neglected in normal use, the user need install high-efficient big data processor, current high-efficient big data processor, it uses these beneficial parts to have operating rate more high-efficient swift and more person of facilitating the use, but also have certain restriction, in normal use, the user all utilizes a plurality of screws to go on to high-efficient big data processor's installation usually, need the user install the screw rod one by one with the help of the instrument during installation, the loaded down with trivial details trouble of process of installation, user's time and energy have been wasted, the problem that prior art exists is: the inconvenient user installs high-efficient big data processor, and the process of installation is loaded down with trivial details troublesome taking trouble, has wasted user's time and energy.

SUMMERY OF THE UTILITY MODEL

The problem to prior art exists, the utility model provides a big data processor of high-efficient operation possesses the person of facilitating the use and installs high-efficient big data processor, and the process of installation is lighter, has saved the advantage of user's time and energy, has solved current high-efficient big data processor, and inconvenient user installs high-efficient big data processor, and the process of installation is loaded down with trivial details troublesome, has wasted the problem of user's time and energy.

The utility model is realized in such a way that a large data processor with high-efficiency operation comprises a cabinet, a supporting plate is fixedly arranged in the cabinet, a big data processor is arranged at the top of the supporting plate, the left side and the right side of the top of the supporting plate are both fixedly connected with upright posts, one opposite side of the two upright posts is both provided with a T-shaped groove, the inner walls of the two T-shaped grooves are both connected with a T-shaped block in a sliding way, the inner parts of the two T-shaped blocks are both provided with a placing groove, the inner parts of the two placing grooves are both fixedly provided with a clamping mechanism, the left side and the equal fixedly connected with fixed plate in right side of big data processor front side, the equal fixedly connected with cylinder in top of two fixed plates, two columniform surfaces all overlap and are equipped with the ring, one side that two rings are close to T type piece all with T type piece fixed connection, square groove has all been seted up to one side that two standing groove inner walls are relative, the fixed slot has all been seted up to one side that two standing groove inner walls deviate from mutually.

As the utility model discloses preferred, the right side chucking mechanism includes the movable block, the right side of movable block runs through T type piece and extends to the inside in T type groove, the left side fixedly connected with horizontal pole of movable block, the left side of horizontal pole extends to the inside of square groove, the surface of horizontal pole and the inner wall sliding connection of square groove, the surface cover of horizontal pole is equipped with the extension spring, the left side of extension spring and the left side fixed connection of standing groove inner wall, the right side of extension spring and the left side fixed connection of movable block, the left side fixedly connected with pull rod at horizontal pole top, the outside to T type piece is run through at the top of pull rod, the right side of movable block is pegged graft with the inside of fixed slot.

As the utility model discloses it is preferred, square through hole has been seted up at the top of T type piece, square through hole's inner wall and the surface sliding connection of pull rod.

As the utility model discloses it is preferred, the slip hole has been seted up to one side that the ring was kept away from to T type piece, the inner wall of slip hole and the surface sliding connection of movable block.

As the utility model discloses it is preferred, the equal fixedly connected with in front side and the rear side of movable block supports the slide bar, the spout that uses with the cooperation of supporting the slide bar is all seted up to the front side and the rear side of standing groove inner wall.

As the utility model discloses preferred, the top fixedly connected with round handle of pull rod, anti-skidding line has been seted up on the surface of round handle.

Compared with the prior art, the beneficial effects of the utility model are as follows:

1. the utility model discloses a set up the rack, the backup pad, big data processor, a column, T type groove, T type piece, the standing groove, chucking mechanism, the movable block, the horizontal pole, the extension spring, the pull rod, the fixed plate, the cylinder, the ring, the square groove, the fixed slot, square hole, the sliding hole, support slide bar, the cooperation of spout and round handle is used, current high-efficient big data processor has been solved, inconvenient user installs high-efficient big data processor, the process of installation is loaded down with trivial details troublesome, user's time and energy's problem have been wasted, this high-efficient big data processor who moves, it installs high-efficient big data processor to possess the person of facilitating the use, the process of installation is lighter, the advantage of user's time and energy has been saved.

2. The utility model can move the pull rod and drive the cross rod to move, and can drive the movable block to move when the cross rod moves, so that the right side of the movable block can be retracted into the sliding hole, the right side of the movable block can be separated from the inside of the fixed groove, the tension spring can be extruded when the movable block moves, the tension spring can be deformed under stress, the T-shaped block is moved upwards to drive the ring to move, then the big data processor is placed on the supporting plate, the T-shaped block is moved downwards after the placement is finished, the ring is driven to move downwards, the ring is sleeved on the surface of the cylinder, the matching of the cylinder and the ring is realized, the pull rod is loosened at the moment, the movable block can be driven to move due to the reactive force of the tension spring, the right side of the movable block can penetrate through the sliding hole and extend into the fixed groove, and the insertion between the right side of the movable block and the inside of the fixed groove is realized, the installation of the big data processor is realized, so that the installation process is easier and more trouble-saving.

3. The utility model discloses a set up square through hole, can carry out fine spacing to the pull rod, make the operation of pull rod more steady smooth and easy, make the light trouble of saving of fixed process more.

4. The utility model discloses a set up the sliding hole, can carry out fine spacing to the movable block, make the operation of movable block more steady smooth and easy, make the process of fixing light save trouble more.

5. The utility model discloses a set up and support slide bar and spout, can carry out fine spacing to the movable block, can also reduce the friction of movable block and sliding hole, make the operation of movable block more smooth and easy.

6. The utility model discloses a set up circle handle and anti-skidding line, can let the user light laborsaving to the manipulation of pull rod more, and the setting of anti-skidding line can increase the friction again, avoids the emergence of the phenomenon of skidding.

Drawings

Fig. 1 is a schematic structural diagram provided in an embodiment of the present invention;

fig. 2 is a front cross-sectional view of a T-block provided in an embodiment of the present invention;

fig. 3 is a top cross-sectional view of a T-block provided in an embodiment of the present invention;

fig. 4 is a front cross-sectional view of a T-shaped groove provided in an embodiment of the present invention;

fig. 5 is an enlarged view of a point a in fig. 1 according to an embodiment of the present invention.

In the figure: 1. a cabinet; 2. a support plate; 3. a big data processor; 4. a column; 5. a T-shaped groove; 6. a T-shaped block; 7. a placement groove; 8. a chucking mechanism; 801. a movable block; 802. a cross bar; 803. a tension spring; 804. a pull rod; 9. a fixing plate; 10. a cylinder; 11. a circular ring; 12. a square groove; 13. fixing grooves; 14. a square through hole; 15. a slide hole; 16. supporting the sliding rod; 17. a chute; 18. a round handle.

Detailed Description

In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.

The structure of the present invention will be described in detail with reference to the accompanying drawings.

As shown in FIGS. 1 to 5, the embodiment of the present invention provides a high-efficiency operation big data processor, which comprises a cabinet 1, a supporting plate 2 is fixedly installed inside the cabinet 1, a big data processor 3 is installed on the top of the supporting plate 2, columns 4 are fixedly connected to the left and right sides of the top of the supporting plate 2, T-shaped grooves 5 are respectively formed on the opposite sides of the two columns 4, T-shaped blocks 6 are respectively slidably connected to the inner walls of the two T-shaped grooves 5, placing grooves 7 are respectively formed inside the two T-shaped blocks 6, clamping mechanisms 8 are respectively fixedly installed inside the two placing grooves 7, fixing plates 9 are respectively fixedly connected to the left and right sides of the front side of the big data processor 3, cylinders 10 are respectively fixedly connected to the tops of the two fixing plates 9, rings 11 are respectively sleeved on the outer surfaces of the two cylinders 10, one side of the two rings 11 close to the T-shaped blocks 6 is respectively fixedly connected to the T-shaped blocks 6, square groove 12 has all been seted up to two relative one sides of standing groove 7 inner wall, and fixed slot 13 has all been seted up to one side that two standing groove 7 inner walls deviate from mutually.

Referring to fig. 3, right side chucking mechanism 8 includes movable block 801, T type piece 6 and the inside that extends to T type groove 5 are run through to the right side of movable block 801, the left side fixedly connected with horizontal pole 802 of movable block 801, the left side of horizontal pole 802 extends to the inside of square groove 12, the surface of horizontal pole 802 and the inner wall sliding connection of square groove 12, the surface cover of horizontal pole 802 is equipped with extension spring 803, the left side of extension spring 803 and the left side fixed connection of standing groove 7 inner wall, the right side of extension spring 803 and the left side fixed connection of movable block 801, the left side fixedly connected with pull rod 804 at horizontal pole 802 top, the outside of T type piece 6 is run through to the top of pull rod 804, the right side of movable block 801 is pegged graft with the inside of fixed slot 13.

Adopt above-mentioned scheme: by arranging the pull rod 804, the pull rod 804 can move and simultaneously drive the cross rod 802 to move, the cross rod 802 can simultaneously drive the movable block 801 to move, the right side of the movable block 801 can be retracted into the inside of the sliding hole 15, the right side of the movable block 801 is separated from the inside of the fixed groove 13, the movable block 801 can simultaneously extrude the tension spring 803, the tension spring 803 can be stressed and deformed, the T-shaped block 6 is moved upwards to drive the circular ring 11 to move, then the large data processor 3 is placed on the support plate 2, after the placement is completed, the T-shaped block 6 is moved downwards to drive the circular ring 11 to move downwards, the circular ring 11 is sleeved on the surface of the circular cylinder 10, the matching of the circular cylinder 10 and the circular ring 11 is realized, the pull rod 804 is loosened, the movable block 801 can be driven to move due to the reactive force of the tension spring 803, and the right side of the movable block 801 can penetrate through the sliding hole 15 and extend to the inside of the fixed groove 13, the insertion connection between the right side of the movable block 801 and the inside of the fixed groove 13 is realized, the installation of the large data processor 3 is realized, and the installation process is easier and more trouble-saving.

Referring to fig. 2, a square through hole 14 is formed at the top of the T-shaped block 6, and the inner wall of the square through hole 14 is slidably connected with the outer surface of the pull rod 804.

Adopt above-mentioned scheme: through setting up square through hole 14, can carry out fine spacing to pull rod 804, make the operation of pull rod 804 more steady smooth and easy, make the fixed process light save trouble more.

Referring to fig. 3, a sliding hole 15 is formed in a side of the T-shaped block 6 away from the circular ring 11, and an inner wall of the sliding hole 15 is slidably connected with an outer surface of the movable block 801.

Adopt above-mentioned scheme: through setting up sliding hole 15, can carry out fine spacing to movable block 801, make the operation of movable block 801 more steady smooth and easy, make the fixed process light save trouble more.

Referring to fig. 3, the front side and the rear side of the movable block 801 are both fixedly connected with the supporting slide bar 16, and the front side and the rear side of the inner wall of the placing groove 7 are both provided with sliding grooves 17 used in cooperation with the supporting slide bar 16.

Adopt above-mentioned scheme: through setting up support slide bar 16 and spout 17, can carry out fine spacing to movable block 801, can also reduce the friction of movable block 801 and slide hole 15, make the operation of movable block 801 more smooth and easy.

Referring to fig. 2, a round handle 18 is fixedly connected to the top of the pull rod 804, and anti-slip threads are formed on the surface of the round handle 18.

Adopt above-mentioned scheme: through setting up circle 18 and anti-skidding line, can let the user more light laborsaving to the manipulation of pull rod 804, and the friction can be increased again in the setting of anti-skidding line, avoids the emergence of the phenomenon of skidding.

The utility model discloses a theory of operation:

when the large data processor is used, a user pulls the round handle 18 to enable the round handle 18 to move and simultaneously drive the pull rod 804 to move, the pull rod 804 can simultaneously drive the cross rod 802 to move, the cross rod 802 can simultaneously drive the movable block 801 and the supporting slide rod 16 to move, the right side of the movable block 801 can be retracted into the inside of the slide hole 15, the right side of the movable block 801 is separated from the inside of the fixed groove 13, the movable block 801 can simultaneously push the tension spring 803, the tension spring 803 can be deformed under stress when the movable block 801 moves, the T-shaped block 6 moves upwards at the moment to drive the circular ring 11 to move, then the large data processor 3 is placed on the supporting plate 2, after the placement is completed, the T-shaped block 6 moves downwards to drive the circular ring 11 to move downwards, the circular ring 11 is sleeved on the surface of the circular cylinder 10 to realize the matching of the circular cylinder 10 and the circular ring 11, the pull rod 804 is loosened at the moment, and the movable block 801 can be driven to move due to the counter-acting force of the tension spring 803, this can make the right side of movable block 801 run through slide opening 15 and extend to the inside of fixed slot 13, realizes the grafting of the right side of movable block 801 and the inside of fixed slot 13, realizes the installation to big data processor 3, makes the process of installation light and save trouble more, and in addition, all so on for the rest of backup pads 2 and big data processor 3 and additional structure.

In summary, the following steps: this big data processor of high-efficient operation, through setting up rack 1, backup pad 2, big data processor 3, stand 4, T type groove 5, T type piece 6, standing groove 7, chucking mechanism 8, movable block 801, horizontal pole 802, extension spring 803, pull rod 804, fixed plate 9, cylinder 10, ring 11, square groove 12, fixed slot 13, square through hole 14, sliding hole 15, support slide bar 16, spout 17 and the cooperation of round handle 18 are used, current big data processor of high-efficient has been solved, inconvenient user installs big data processor of high-efficient, the process of installation is loaded down with trivial details trouble, the problem of user's time and energy has been wasted.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims

1. A big data processor operating efficiently, comprising a cabinet (1), characterized in that: the cabinet is characterized in that a supporting plate (2) is fixedly arranged in the cabinet (1), a big data processor (3) is arranged at the top of the supporting plate (2), stand columns (4) are fixedly connected to the left and right sides of the top of the supporting plate (2), T-shaped grooves (5) are formed in the opposite sides of the two stand columns (4), T-shaped blocks (6) are slidably connected to the inner walls of the two T-shaped grooves (5), standing grooves (7) are formed in the two T-shaped blocks (6), clamping mechanisms (8) are fixedly arranged in the two standing grooves (7), fixing plates (9) are fixedly connected to the left side and the right side of the front side of the big data processor (3), cylinders (10) are fixedly connected to the tops of the two fixing plates (9), rings (11) are sleeved on the outer surfaces of the two cylinders (10), and one sides of the two rings (11) close to the T-shaped blocks (6) are fixedly connected with the T-shaped blocks (6), square grooves (12) have all been seted up to one side that two standing groove (7) inner wall are relative, and fixed slot (13) have all been seted up to one side that two standing groove (7) inner wall deviate from.

2. An efficiently operating big data processor as claimed in claim 1, characterized in that: the right clamping mechanism (8) comprises a movable block (801), the right side of the movable block (801) penetrates through the T-shaped block (6) and extends into the T-shaped groove (5), the left side of the movable block (801) is fixedly connected with a cross bar (802), the left side of the cross bar (802) extends to the inside of the square groove (12), the outer surface of the cross bar (802) is connected with the inner wall of the square groove (12) in a sliding way, the outer surface of the cross rod (802) is sleeved with a tension spring (803), the left side of the tension spring (803) is fixedly connected with the left side of the inner wall of the placing groove (7), the right side of the tension spring (803) is fixedly connected with the left side of the movable block (801), the left side of the top of the cross rod (802) is fixedly connected with a pull rod (804), the top of the pull rod (804) penetrates to the outer side of the T-shaped block (6), the right side of the movable block (801) is inserted into the fixed groove (13).

3. An efficiently operating big data processor as claimed in claim 2, characterized in that: the top of the T-shaped block (6) is provided with a square through hole (14), and the inner wall of the square through hole (14) is in sliding connection with the outer surface of the pull rod (804).

4. An efficiently operating big data processor as claimed in claim 2, characterized in that: a sliding hole (15) is formed in one side, away from the circular ring (11), of the T-shaped block (6), and the inner wall of the sliding hole (15) is connected with the outer surface of the movable block (801) in a sliding mode.

5. An efficiently operating big data processor as claimed in claim 2, characterized in that: the equal fixedly connected with in front side and the rear side of movable block (801) supports slide bar (16), spout (17) that use with supporting slide bar (16) cooperation are all seted up to the front side and the rear side of standing groove (7) inner wall.

6. An efficiently operating big data processor as claimed in claim 2, characterized in that: the top of the pull rod (804) is fixedly connected with a round handle (18), and anti-skid grains are formed in the surface of the round handle (18).