CN215111437U - Platform carrying device based on convolutional neural network model and convenient to disassemble and assemble - Google Patents

Platform carrying device based on convolutional neural network model and convenient to disassemble and assemble Download PDF

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Publication number
CN215111437U
CN215111437U CN202120441408.8U CN202120441408U CN215111437U CN 215111437 U CN215111437 U CN 215111437U CN 202120441408 U CN202120441408 U CN 202120441408U CN 215111437 U CN215111437 U CN 215111437U
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CN
China
Prior art keywords
fixedly connected
neural network
convolutional neural
network model
threaded rod
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Expired - Fee Related
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CN202120441408.8U
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Chinese (zh)
Inventor
赵冉冉
冯蕾
廖景行
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China National Institute of Standardization
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China National Institute of Standardization
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Priority to CN202120441408.8U priority Critical patent/CN215111437U/en
Application granted granted Critical
Publication of CN215111437U publication Critical patent/CN215111437U/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

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Abstract

The utility model discloses a based on convolutional neural network model carries on device convenient to dismouting, which comprises a fixing plate and i, one side of fixed plate is equipped with the recess, the fluted internal rotation is connected with the threaded rod, threaded rod both ends screw thread is opposite setting, recess and fixedly connected with commentaries on classics piece are run through on the top of threaded rod, the movable plate has been cup jointed to equal screw thread on the threaded rod both ends, two the relative one side fixedly connected with fixture block of movable plate one end, two be equipped with the mounting panel between the movable plate, the both sides of mounting panel all are equipped with the draw-in groove that corresponds with the fixture block, one side fixedly connected with support of mounting panel, be equipped with two spouts that the symmetry set up on the support equal sliding connection has the grip block in the spout.

Description

Platform carrying device based on convolutional neural network model and convenient to disassemble and assemble
Technical Field
The utility model relates to a convolution neural network correlation goods field specifically is a platform carrying device for model based on convolution neural network convenient to dismouting.
Background
The module is a hidden layer structure obtained by stacking a plurality of convolution layers and pooling layers. Specifically, a module would contain multiple convolution and pooling operations of different types simultaneously, using the same padding to get the same size profiles, and then stacking the channels of these profiles in an array and passing through the excitation function. Since the above method introduces a plurality of convolution kernels into one structure, in order to simplify the calculation, the module usually designs a bottleneck layer, firstly uses a unit convolution kernel, i.e. an NIN structure to reduce the number of channels of the feature map, and then performs other convolution operations.
However, the existing platform carrying device based on the convolutional neural network model is complex in structure, low in stability when carrying the device, inconvenient to assemble and disassemble and defective.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a based on platform carrying device for convolutional neural network model convenient to dismouting to it is comparatively complicated to provide current based on platform carrying device for convolutional neural network model structure in solving above-mentioned background art, and stability is not high when carrying on the device, the inconvenient problem of dismouting.
In order to achieve the above object, the utility model provides a following technical scheme: a platform carrying device convenient to disassemble and assemble and based on a convolutional neural network model comprises a fixed plate, wherein one side of the fixed plate is provided with a groove, a threaded rod is rotationally connected in the groove, threads at two ends of the threaded rod are oppositely arranged, the top end of the threaded rod penetrates through the groove and is fixedly connected with a rotating block, moving plates are sleeved on two ends of the threaded rod through threads, one side, opposite to one end of each of the two moving plates, is fixedly connected with a fixture block, a mounting plate is arranged between the two moving plates, clamping grooves corresponding to the fixture blocks are arranged at two sides of the mounting plate, a support is fixedly connected at one side of the mounting plate, two sliding grooves are symmetrically arranged on the support, clamping plates are slidably connected in the two sliding grooves, a motor is fixedly connected at the bottom of the support, a worm is fixedly connected on an output shaft of the motor, and two sliding blocks are sleeved on the worm through threads, two the screw thread in the slider screw is opposite setting, the both ends of slider all rotate and are connected with the connecting rod, the one end and the grip block of connecting rod rotate and are connected.
Preferably, be equipped with multichannel antiskid line on the lateral wall of commentaries on classics piece, multichannel antiskid line is the slope setting.
Preferably, the opposite sides of the tops of the two clamping plates are fixedly connected with rubber pads.
Preferably, the motor is a servo motor.
Preferably, the bottom end of the worm is fixedly connected with a limiting block.
Preferably, both ends of the fixing plate are provided with mounting ports.
Compared with the prior art, the beneficial effects of the utility model are that:
this be convenient for dismouting based on platform carrying device for convolution neural network model, through fixing the fixed plate and treating the mounted position, establish the mounting panel card between two movable plates afterwards, rotate the turning block afterwards and drive the threaded rod and rotate, thereby realize the fixed of support in the draw-in groove on the mounting panel with the fixture block card income this moment two movable plate relative movement, through placing the device control motor on the support start drive worm and rotate, thereby two sliders of installing on the worm at this moment remove and utilize connecting rod pulling grip block to remove and carry out the centre gripping to the device and fix, the utility model discloses a many places fixture's setting simple to operate, simple structure, whole easy dismounting, easy to use.
Drawings
Fig. 1 is a schematic structural diagram of a platform carrying device for a convolutional neural network model, which is convenient to disassemble and assemble;
fig. 2 is the utility model discloses a be convenient for dismouting based on platform carrying device for convolutional neural network model's A department enlargedly.
In the figure: 1-fixed plate, 2-threaded rod, 3-rotating block, 4-moving plate, 5-clamping block, 6-mounting plate, 7-support, 8-clamping plate, 9-motor, 10-worm, 11-sliding block, 12-connecting rod, 13-rubber pad, 14-limiting block and 15-mounting opening.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments.
Referring to fig. 1-2, the present invention provides an embodiment: a platform carrying device convenient to disassemble and assemble and based on a convolutional neural network model comprises a fixed plate 1, one side of the fixed plate 1 is provided with a groove, a threaded rod 2 is rotatably connected in the groove, threads at two ends of the threaded rod 2 are oppositely arranged, the top end of the threaded rod 2 penetrates through the groove and is fixedly connected with a rotating block 3, moving plates 4 are respectively sleeved at two ends of the threaded rod 2 through threads, a clamping block 5 is fixedly connected at one side opposite to one end of each moving plate 4, a mounting plate 6 is arranged between the two moving plates 4, clamping grooves corresponding to the clamping blocks 5 are respectively arranged at two sides of the mounting plate 6, a support 7 is fixedly connected at one side of the mounting plate 6, two symmetrically arranged sliding grooves are arranged on the support 7, a clamping plate 8 is respectively and slidably connected in the two sliding grooves, a motor 9 is fixedly connected at the bottom of the support 7, a worm 10 is fixedly connected on an output shaft of the motor 9, and two sliding blocks 11 are sleeved on the worm 10 through threads, two 11 intraoral screw threads of slider are opposite settings, slider 11's both ends are all rotated and are connected with connecting rod 12, connecting rod 12's one end and grip block 8 rotate and are connected, specific saying, fixed plate 1 is fixed and is being treated the mounted position, establish mounting panel 6 card between two movable plates 4 afterwards, rotate the piece 3 and drive threaded rod 2 and rotate afterwards, thereby two movable plates 4 relative movement realize support 7's fixed in the draw-in groove of 5 cards of fixture block on mounting panel 6 this moment, through placing the device on support 7 control motor 9 start-up drive worm 10 and rotate, thereby two slider 11 removals that install on worm 10 this moment utilize connecting rod 12 pulling grip block 8 to remove and carry out the centre gripping fixed to the device.
Further, be equipped with multichannel antiskid line on changeing the lateral wall of piece 3, multichannel antiskid line is the slope setting, and increase frictional force is convenient for rotate.
Furthermore, two equal fixedly connected with rubber pads 13 in the relative one side in grip block 8 tops increase centre gripping buffer power.
Further, the motor 9 is a servo motor.
Further, a limiting block 14 is fixedly connected to the bottom end of the worm 10.
Further, both ends of the fixing plate 1 are provided with mounting ports 15.
The working principle is as follows: firstly fix fixed plate 1 at treating the mounted position, establish mounting panel 6 card between two movable plates 4 afterwards, rotate the turning block 3 afterwards and drive threaded rod 2 and rotate, thereby two movable plates 4 relative movement realize the fixed of support 7 in the draw-in groove of fixture block 5 card on mounting panel 6 this moment, start driving worm 10 to rotate through placing the device on support 7 control motor 9, thereby two sliders 11 that install on worm 10 remove to utilize connecting rod 12 pulling grip block 8 to remove and carry out the centre gripping fixedly to the device this moment.
It is obvious to a person skilled in the art that the invention is not restricted to details of the above-described exemplary embodiments, but that it can be implemented in other specific forms without departing from the spirit or essential characteristics of the invention. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (6)

1. The utility model provides a based on platform carrying device for convolutional neural network model convenient to dismouting, includes fixed plate (1), its characterized in that: one side of the fixed plate (1) is provided with a groove, a threaded rod (2) is rotationally connected in the groove, threads at two ends of the threaded rod (2) are oppositely arranged, the top end of the threaded rod (2) penetrates through the groove and is fixedly connected with a rotating block (3), moving plates (4) are sleeved at two ends of the threaded rod (2) in a threaded manner, one side of each of the two moving plates (4) opposite to one end is fixedly connected with a clamping block (5), a mounting plate (6) is arranged between the two moving plates (4), clamping grooves corresponding to the clamping blocks (5) are arranged on two sides of the mounting plate (6), a support (7) is fixedly connected to one side of the mounting plate (6), two sliding grooves which are symmetrically arranged are arranged on the support (7), a clamping plate (8) is slidably connected in the two sliding grooves, and a motor (9) is fixedly connected to the bottom of the support (7), fixedly connected with worm (10) on the output shaft of motor (9), two slider (11), two have been cup jointed to worm (10) upper thread the intraoral screw thread of slider (11) sets up for opposite, the both ends of slider (11) are all rotated and are connected with connecting rod (12), the one end and the grip block (8) of connecting rod (12) are rotated and are connected.
2. The convolutional neural network model-based platform-mounted device convenient to mount and dismount as claimed in claim 1, wherein: be equipped with multichannel anti-skidding line on the lateral wall of commentaries on classics piece (3), multichannel the anti-skidding line is the slope setting.
3. The convolutional neural network model-based platform-mounted device convenient to mount and dismount as claimed in claim 1, wherein: two the equal fixedly connected with rubber pad (13) in the relative one side in grip block (8) top.
4. The convolutional neural network model-based platform-mounted device convenient to mount and dismount as claimed in claim 1, wherein: the motor (9) is a servo motor.
5. The convolutional neural network model-based platform-mounted device convenient to mount and dismount as claimed in claim 1, wherein: the bottom end of the worm (10) is fixedly connected with a limiting block (14).
6. The convolutional neural network model-based platform-mounted device convenient to mount and dismount as claimed in claim 1, wherein: and mounting ports (15) are arranged at two ends of the fixing plate (1).
CN202120441408.8U 2021-03-01 2021-03-01 Platform carrying device based on convolutional neural network model and convenient to disassemble and assemble Expired - Fee Related CN215111437U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202120441408.8U CN215111437U (en) 2021-03-01 2021-03-01 Platform carrying device based on convolutional neural network model and convenient to disassemble and assemble

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202120441408.8U CN215111437U (en) 2021-03-01 2021-03-01 Platform carrying device based on convolutional neural network model and convenient to disassemble and assemble

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Publication Number Publication Date
CN215111437U true CN215111437U (en) 2021-12-10

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CN202120441408.8U Expired - Fee Related CN215111437U (en) 2021-03-01 2021-03-01 Platform carrying device based on convolutional neural network model and convenient to disassemble and assemble

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115046085A (en) * 2022-05-30 2022-09-13 中交机电工程局有限公司 Module assembling device and information processing system for comprehensive monitoring

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115046085A (en) * 2022-05-30 2022-09-13 中交机电工程局有限公司 Module assembling device and information processing system for comprehensive monitoring

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CF01 Termination of patent right due to non-payment of annual fee
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Granted publication date: 20211210