CN214374031U - Easy-to-repair road detection device based on convolutional neural network - Google Patents
Easy-to-repair road detection device based on convolutional neural network Download PDFInfo
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- CN214374031U CN214374031U CN202120352157.6U CN202120352157U CN214374031U CN 214374031 U CN214374031 U CN 214374031U CN 202120352157 U CN202120352157 U CN 202120352157U CN 214374031 U CN214374031 U CN 214374031U
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Abstract
The utility model discloses a formula road detection device is repaiied just based on convolution neural network, include outer box, place board, horizontal rack, transmission helical gear and initiative helical gear, the base is installed to outer box below, the worm wheel side is provided with the worm, place the board and install at outer box internal portion, horizontal rack fixed mounting is at side bracing piece lower surface, the transmission helical gear is installed in driven helical gear top, the initiative helical gear is installed on transmission helical gear right side. This just repair formula road detection device based on convolutional neural network adopts neotype structural design, and the below of box increases the removal gyro wheel outside, can make removal gyro wheel and ground contact through packing up base all around when needs remove to utilize the removal gyro wheel can easily remove the device, and can thrust unit when the device breaks down, utilize the rotation of removing the gyro wheel to drive the inside outside that places the board and remove the device, conveniently overhaul the part.
Description
Technical Field
The utility model relates to a road detection technology field specifically is a formula road detection device is just repaired based on convolutional neural network.
Background
The road can carry out the detection of each item index to it after laying, one of them item is to detect the hard degree of road, generally utilize the striking hammer to strike at the random choice position on road surface, judge the hard degree of road surface through observing the sunken condition of road surface, in time mend to the road surface that does not conform to the standard, along with the continuous progress of science and technology, present road detection device can carry out work based on the convolutional neural network, the convolutional neural network is a kind of feedforward neural network, its artificial neuron can respond to the surrounding unit in partly coverage, has outstanding performance to large-scale image processing.
With the continuous use of road detection devices, the following problems are found during use:
1. the impact type road detection device needs larger power, so that the whole device is heavier, the carrying is inconvenient, and the flexibility is poorer;
2. the general road detection device is a relatively closed device, and when a fault occurs and the maintenance is needed, internal parts are inconvenient to contact, so that certain trouble is brought to the maintenance.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a just, repair formula road detection device based on convolutional neural network to propose not convenient to remove, overhaul inconvenient problem in solving above-mentioned background art.
In order to achieve the above object, the utility model provides a following technical scheme: a road detection device convenient to repair based on a convolutional neural network comprises an outer box body, a placing plate, a transverse rack, a transmission bevel gear and a driving bevel gear, wherein a base is arranged below the outer box body, a threaded rod is connected to the upper surface of the base in an embedded mode, a worm gear is arranged on the outer side of the threaded rod, a limiting clamping block is fixedly arranged on the inner side of the worm gear, a worm is arranged on the side surface of the worm gear, the placing plate is arranged inside the outer box body, side supporting rods are fixedly arranged on the left side and the right side of the placing plate, a driving device is arranged on the upper surface of the placing plate, an impact hammer is arranged below the driving device, the transverse rack is fixedly arranged on the lower surface of the side supporting rods, a longitudinal gear is arranged below the transverse rack, a driven bevel gear is fixedly arranged on the outer side of the longitudinal gear, the transmission bevel gear is arranged above the driven bevel gear, and a longitudinal rack is connected to the upper surface of the transmission bevel gear in a bearing mode, and the right side of the longitudinal rack is provided with an adjusting gear, the driving helical gear is arranged on the right side of the transmission helical gear, and the side surface of the driving helical gear is fixedly provided with a movable roller.
Preferably, the base passes through the threaded rod and constitutes elevation structure with outer box, and the threaded rod passes through spacing fixture block and constitutes the block structure with the worm wheel to the worm wheel is connected with the worm meshing.
Preferably, place the board and constitute sliding construction through side support bar and outer box, and the side support bar constitutes the meshing structure through horizontal rack and vertical gear.
Preferably, the longitudinal gear and the outer box body form a rotating structure through a driven bevel gear, and the driven bevel gear is in meshed connection with the transmission bevel gear.
Preferably, the transmission helical gear and the outer box body form a lifting structure through a longitudinal rack, and the longitudinal rack is meshed and connected with the adjusting gear.
Preferably, the driving bevel gear and the outer box body form a rotating structure through the movable roller, and the driving bevel gear is meshed with the transmission bevel gear.
Compared with the prior art, the beneficial effects of the utility model are that: this just repair formula road detection device based on convolutional neural network adopts neotype structural design, and the below of box increases the removal gyro wheel outside, can make removal gyro wheel and ground contact through packing up base all around when needs remove to utilize the removal gyro wheel can easily remove the device, and can thrust unit when the device breaks down, utilize the rotation of removing the gyro wheel to drive the inside outside that places the board and remove the device, thereby the convenience is overhauld the part of inside.
1. The worm, the worm wheel, spacing fixture block, threaded rod and the cooperation between the base are used, can drive the worm wheel of being connected with it meshing through the rotation of worm when needs move the device and take place to rotate to utilize spacing fixture block to drive inside threaded rod synchronous rotation, make the base rebound of below, let remove gyro wheel and ground contact, the convenience is removed the device wholly.
2. The driving helical gear, the driven helical gear, the transmission helical gear, the longitudinal rack and the adjusting gear are matched for use, when the maintenance is needed, the transmission helical gear moves downwards to a position where the driving helical gear is meshed with the driven helical gear through rotating the adjusting gear, and therefore the driving helical gear can drive the driven helical gear to rotate synchronously.
Drawings
Fig. 1 is a schematic view of the front cross-sectional structure of the present invention;
FIG. 2 is a schematic front view of the present invention;
FIG. 3 is a schematic top view of the present invention;
FIG. 4 is an enlarged schematic view of the structure at A of FIG. 1 according to the present invention;
fig. 5 is a schematic view of the worm wheel of the present invention.
In the figure: 1. an outer case; 2. a base; 3. a threaded rod; 4. a worm gear; 5. a limiting clamping block; 6. a worm; 7. placing the plate; 8. a side support bar; 9. a drive device; 10. an impact hammer; 11. a transverse rack; 12. a longitudinal gear; 13. a driven helical gear; 14. a transmission bevel gear; 15. a longitudinal rack; 16. an adjusting gear; 17. a driving bevel gear; 18. the roller is moved.
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. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
Referring to fig. 1-5, the present invention provides a technical solution: a road detection device convenient to repair based on a convolutional neural network comprises an outer box body 1, a base 2, a threaded rod 3, a worm gear 4, a limiting fixture block 5, a worm 6, a placing plate 7, side supporting rods 8, a driving device 9, an impact hammer 10, a transverse rack 11, a longitudinal gear 12, a driven helical gear 13, a transmission helical gear 14, a longitudinal rack 15, an adjusting gear 16, a driving helical gear 17 and a moving roller 18, wherein the base 2 is installed below the outer box body 1, the threaded rod 3 is connected to the upper surface of the base 2 in a nested mode, the worm gear 4 is installed on the outer side of the threaded rod 3, the limiting fixture block 5 is fixedly installed on the inner side of the worm gear 4, the worm 6 is arranged on the side surface of the worm gear 4, the placing plate 7 is installed inside the outer box body 1, the side supporting rods 8 are fixedly installed on the left side and right sides of the placing plate 7, the driving device 9 is installed on the upper surface of the placing plate 7, and the impact hammer 10 is arranged below the driving device 9, the transverse rack 11 is fixedly installed on the lower surface of the side support rod 8, the longitudinal gear 12 is installed below the transverse rack 11, the driven helical gear 13 is fixedly installed on the outer side of the longitudinal gear 12, the transmission helical gear 14 is installed above the driven helical gear 13, the longitudinal rack 15 is connected to the upper surface of the transmission helical gear 14 in a bearing mode, the adjusting gear 16 is arranged on the right side of the longitudinal rack 15, the driving helical gear 17 is installed on the right side of the transmission helical gear 14, and the movable roller 18 is fixedly installed on the side face of the driving helical gear 17.
Place board 7 and constitute sliding construction through side support bar 8 and outer box 1, and side support bar 8 constitutes the meshing structure through horizontal rack 11 and vertical gear 12, foretell structure makes the rotation through vertical gear 12 can drive the horizontal rack 11 back-and-forth movement of top to utilize side support bar 8 to take place board 7 the outside of outer box 1 out.
The longitudinal gear 12 and the outer box 1 form a rotating structure through the driven bevel gear 13, and the driven bevel gear 13 is meshed with the transmission bevel gear 14, and the structure enables the transmission bevel gear 14 to drive the driven bevel gear 13 meshed with the transmission bevel gear to rotate while rotating, so that the longitudinal gear 12 rotates.
The transmission helical gear 14 and the outer box body 1 form a lifting structure through the longitudinal rack 15, the longitudinal rack 15 is meshed with the adjusting gear 16, the structure enables the transmission helical gear 14 to be driven to move up and down through rotating the adjusting gear 16, the transmission helical gear is meshed with the driving helical gear 17 and the driven helical gear 13 when moving to the lower side, the transmission helical gear is disengaged when moving to the upper side, and transmission is disconnected.
The driving bevel gear 17 and the outer box 1 form a rotating structure through the moving roller 18, and the driving bevel gear 17 is meshed with the transmission bevel gear 14, the structure enables the moving roller 18 to rotate through the pushing device, so as to drive the driving bevel gear 17 to start rotating, and enable the transmission bevel gear 14 meshed with the driving bevel gear to rotate.
The working principle is as follows: when the device is used, according to the structure shown in figures 1, 2, 3 and 5, firstly, the device is carried to a road surface to be detected, then an internal motor is started to drive a driving device 9 to operate, so that an impact hammer 10 below moves up and down to impact the road surface, the condition of the impacted road surface is transmitted to a main control computer by using a convolution neural network arranged in the device to analyze the damage degree of the road surface, thereby judging the hardness degree of the road surface, when the device needs to be moved to the next position after one detection is finished, firstly, the motor behind an outer box body 1 is started to drive a worm 6 to start rotating, so that worm wheels 4 at four corners are driven by the worm 6 to start rotating, a limit fixture block 5 inside the worm wheel 4 is used to drive a threaded rod 3 to synchronously rotate, thereby a base 2 below moves upwards, and finally, a movable roller 18 is contacted with the ground, the pusher is moved to the next location to be detected.
According to the construction shown in fig. 1, 2 and 4, when a trouble occurs during the use of the apparatus to require maintenance, firstly, the base 2 is retracted to make the moving roller 18 contact with the ground, then the adjusting gear 16 is rotated to drive the longitudinal rack 15 engaged with the adjusting gear to move downwards, so that the transmission bevel gear 14 moves to the position where the driving bevel gear 17 and the driven bevel gear 13 are engaged and connected, and then the device body is pushed, so that the moving roller 18 rotates to drive the driving bevel gear 17 to synchronously rotate, thereby driving the transmission bevel gear 14 engaged with the transmission bevel gear to rotate, leading the driven bevel gear 13 to rotate along with the transmission bevel gear, finally leading the longitudinal gear 12 to rotate and driving the transverse rack 11 above to move forwards, thereby utilize side bracing piece 8 to drive and place the outside that board 7 removed outer box 1, conveniently overhaul inside part, this is this be this just easy to repair formula road detection device's based on convolutional neural network theory of operation.
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 (6)
1. The utility model provides a just, repair formula road detection device based on convolutional neural network, includes outer box (1), places board (7), horizontal rack (11), transmission helical gear (14) and initiative helical gear (17), its characterized in that: the outer box is characterized in that a base (2) is installed below the outer box (1), a threaded rod (3) is connected to the upper surface of the base (2) in an embedded mode, a worm wheel (4) is installed on the outer side of the threaded rod (3), a limiting clamping block (5) is fixedly installed on the inner side of the worm wheel (4), a worm (6) is arranged on the side surface of the worm wheel (4), a placing plate (7) is installed inside the outer box (1), side supporting rods (8) are fixedly installed on the left side and the right side of the placing plate (7), a driving device (9) is placed on the upper surface of the placing plate (7), an impact hammer (10) is arranged below the driving device (9), a transverse rack (11) is fixedly installed on the lower surface of each side supporting rod (8), a longitudinal gear (12) is installed below the transverse rack (11), and a driven helical gear (13) is fixedly installed on the outer side of the longitudinal gear (12), the transmission helical gear (14) is installed above the driven helical gear (13), the upper surface of the transmission helical gear (14) is in bearing connection with a longitudinal rack (15), an adjusting gear (16) is arranged on the right side of the longitudinal rack (15), the driving helical gear (17) is installed on the right side of the transmission helical gear (14), and a movable roller (18) is fixedly installed on the side surface of the driving helical gear (17).
2. The convolutional neural network-based road detection device convenient to repair as claimed in claim 1, wherein: base (2) constitute elevation structure through threaded rod (3) and outer box (1), and threaded rod (3) constitute the block structure through spacing fixture block (5) and worm wheel (4) to worm wheel (4) are connected with worm (6) meshing.
3. The convolutional neural network-based road detection device convenient to repair as claimed in claim 1, wherein: the placing plate (7) and the outer box body (1) form a sliding structure through a side supporting rod (8), and the side supporting rod (8) and the longitudinal gear (12) form a meshing structure through a transverse rack (11).
4. The convolutional neural network-based road detection device convenient to repair as claimed in claim 1, wherein: the longitudinal gear (12) and the outer box body (1) form a rotating structure through a driven helical gear (13), and the driven helical gear (13) is in meshed connection with a transmission helical gear (14).
5. The convolutional neural network-based road detection device convenient to repair as claimed in claim 1, wherein: the transmission helical gear (14) and the outer box body (1) form a lifting structure through a longitudinal rack (15), and the longitudinal rack (15) is meshed and connected with the adjusting gear (16).
6. The convolutional neural network-based road detection device convenient to repair as claimed in claim 1, wherein: the driving bevel gear (17) and the outer box body (1) form a rotating structure through a movable roller (18), and the driving bevel gear (17) is meshed and connected with the transmission bevel gear (14).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120352157.6U CN214374031U (en) | 2021-01-30 | 2021-01-30 | Easy-to-repair road detection device based on convolutional neural network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120352157.6U CN214374031U (en) | 2021-01-30 | 2021-01-30 | Easy-to-repair road detection device based on convolutional neural network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN214374031U true CN214374031U (en) | 2021-10-08 |
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ID=77964598
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202120352157.6U Active CN214374031U (en) | 2021-01-30 | 2021-01-30 | Easy-to-repair road detection device based on convolutional neural network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN214374031U (en) |
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2021
- 2021-01-30 CN CN202120352157.6U patent/CN214374031U/en active Active
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