CN220730966U - Region traffic prediction terminal based on deep ensemble learning - Google Patents
Region traffic prediction terminal based on deep ensemble learning Download PDFInfo
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- CN220730966U CN220730966U CN202322036354.9U CN202322036354U CN220730966U CN 220730966 U CN220730966 U CN 220730966U CN 202322036354 U CN202322036354 U CN 202322036354U CN 220730966 U CN220730966 U CN 220730966U
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- 230000010354 integration Effects 0.000 abstract description 14
- 239000000428 dust Substances 0.000 description 5
- 238000009825 accumulation Methods 0.000 description 3
- 238000000034 method Methods 0.000 description 2
- 238000004140 cleaning Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 230000005389 magnetism Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000001179 sorption measurement Methods 0.000 description 1
- 230000000087 stabilizing effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
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Abstract
The utility model relates to a region traffic prediction terminal based on deep integration study, which comprises a display screen terminal body, wherein the upper end and the lower end of the display screen terminal body are fixedly connected with strip-shaped electric guide rails, the output ends of the strip-shaped electric guide rails are fixedly connected with rotating shaft columns, the outer ends of the two rotating shaft columns are rotatably connected with U-shaped side rods, one end, close to the display screen terminal body, of each U-shaped side rod is provided with a side groove, the inner side wall of each side groove is fixedly connected with an elastic enclosing piece, one end, far away from each side groove, of each elastic enclosing piece is fixedly connected with a wiping vertical bar, one end, close to each elastic enclosing piece, of each wiping vertical bar is fixedly connected with two second electromagnetic blocks, and the inner side wall of each side groove is fixedly connected with two first electromagnetic blocks.
Description
Technical Field
The utility model relates to a region traffic prediction terminal based on deep ensemble learning, in particular to a region traffic prediction terminal based on deep ensemble learning, which is applied to the field of electronic terminals.
Background
The traffic flow prediction is an important supporting technology for realizing the traffic induction function of the urban intelligent traffic system, and is a key place for relieving traffic jams and causing related problems. In recent years, due to strong nonlinear fitting and deep feature expression capability, the deep learning method is paid more attention to in traffic flow prediction, and the existing region traffic prediction terminal based on deep integration learning is a computer display terminal, but when the region traffic prediction computer display terminal based on deep integration learning is used, dust accumulation is easily generated on the surface of the region traffic prediction computer display terminal based on deep integration learning due to electrostatic adsorption, so that the display definition of the region traffic prediction terminal based on deep integration learning is affected.
In order to solve the problem that dust accumulation is easy to occur on the surface of the region traffic prediction computer display terminal based on deep integration learning when the region traffic prediction computer display terminal based on deep integration learning is used, the region traffic prediction terminal based on deep integration learning in the market adopts a design of manually wiping a display screen, and has a certain market occupation ratio.
The design of the area traffic prediction terminal based on deep integration learning in the existing market adopts manual wiping of the display screen, so that time and labor are wasted, and the phenomenon of uneven force application is easily generated in a manual wiping mode of personnel, so that the use completeness of the display screen is affected.
Disclosure of Invention
Aiming at the prior art, the utility model aims to solve the technical problem that the phenomenon of uneven force application is easy to occur in a manual wiping mode by a person, so that the use completeness of the display screen is affected.
In order to solve the problems, the utility model provides a zone traffic prediction terminal based on deep ensemble learning, which comprises a display screen terminal body, wherein the upper end and the lower end of the display screen terminal body are fixedly connected with strip-shaped electric guide rails, the output ends of the strip-shaped electric guide rails are fixedly connected with rotating shaft columns, the outer ends of the two rotating shaft columns are rotatably connected with U-shaped side rods, one end of each U-shaped side rod, which is close to the display screen terminal body, is provided with a side groove, the inner side wall of each side groove is fixedly connected with an elastic enclosing piece, one end, which is far away from the side groove, of each elastic enclosing piece is fixedly connected with a wiping vertical bar, one end, which is close to the elastic enclosing piece, of each wiping vertical bar is fixedly connected with two second electromagnetic blocks, and the inner side wall of each side groove is fixedly connected with two first electromagnetic blocks.
In the region traffic prediction terminal based on the deep integration learning, when the region traffic prediction operation of the deep integration learning is completed by utilizing the display screen terminal body, the first electromagnetic block and the elastic enclosure are powered off to lose the connecting force, the wiping vertical bar is abutted and attached to the display screen terminal body under the elastic power of the elastic enclosure, the wiping strength of the wiping vertical bar can be increased, and the smoothness of the region traffic prediction operation of the deep integration learning is further ensured.
As a further improvement of the application, the wiping vertical bar is contacted with the display screen terminal body.
As still further improvement of this application, magnetism is connected between second electromagnetism piece and the first electromagnetism piece, and the lower extreme fixedly connected with of display screen terminal body is standing steady base.
As a further improvement of the folding device, the front end of the U-shaped side rod is provided with a side opening, and the rear side wall of the side opening is fixedly connected with a folding baffle.
As a further improvement of the present application, the folding baffle extends out of the side opening and covers directly in front of the display screen terminal body.
As a further improvement of the present application, the folding baffle is fixedly connected with link member at one end far away from the U-shaped side rod, and the link member is engaged with the left side of the display screen terminal body.
To sum up, this scheme is when utilizing the district traffic prediction operation of degree of depth integrated study of display screen terminal body completion, outage loses the linking force between first electromagnetism piece and the elasticity surrounding piece, cleans the vertical bar and supports and laminate display screen terminal body under the elastic power of elasticity surrounding piece, can increase the wiping intensity of cleaning the vertical bar, simultaneously after the district traffic prediction operation of degree of depth integrated study finishes, can overturn U type side lever to display screen terminal body front side to pull out folding baffle from the side opening and cover in display screen terminal body the place ahead, reduce the risk of dust pile up at display screen terminal body surface, and then guarantee the degree of smoothness of district traffic prediction operation of degree of depth integrated study.
Drawings
Fig. 1 is an axial side view of a display screen terminal body according to a first embodiment of the present application;
FIG. 2 is a side cross-sectional view of a U-shaped side bar of a first embodiment of the present application;
FIG. 3 is an enlarged view of a portion of FIG. 2A according to a first embodiment of the present application;
fig. 4 is a drawing showing a state in which the folding baffle according to the second embodiment of the present application is pulled out.
The reference numerals in the figures illustrate:
1. a vertical stable base; 2. a bar-shaped electric guide rail; 3. a pivot post; 4. a display screen terminal body; 5. a U-shaped side rod; 6. wiping the vertical bar; 7. a first electromagnetic block; 8. a second electromagnetic block; 9. an elastic enclosure; 10. a side groove; 11. folding the baffle; 12. a hanging ring member; 13. a side opening.
Detailed Description
Two embodiments of the present application are described in detail below with reference to the accompanying drawings.
First embodiment:
fig. 1-3 show that the display screen terminal comprises a display screen terminal body 4, the upper end and the lower end of the display screen terminal body 4 are fixedly connected with a strip-shaped electric guide rail 2, the output ends of the strip-shaped electric guide rails 2 are fixedly connected with rotating shaft columns 3, the outer ends of the two rotating shaft columns 3 are rotationally connected with U-shaped side rods 5, one ends of the U-shaped side rods 5, which are close to the display screen terminal body 4, are provided with side grooves 10, the inner side walls of the side grooves 10 are fixedly connected with elastic enclosing pieces 9, one ends, which are far away from the side grooves 10, of the elastic enclosing pieces 9 are fixedly connected with wiping vertical strips 6, one ends, which are close to the elastic enclosing pieces 9, of the wiping vertical strips are fixedly connected with two second electromagnetic blocks 8, and the inner side walls of the side grooves 10 are fixedly connected with two first electromagnetic blocks 7.
Fig. 1 and 3 show that the wiping vertical bar 6 is contacted with the display screen terminal body 4, the second electromagnetic block 8 is magnetically connected with the first electromagnetic block 7, and the lower end of the display screen terminal body 4 is fixedly connected with the vertical stabilizing base 1.
Fig. 1-3 show that when the scheme utilizes the display screen terminal body 4 to complete the zone traffic prediction operation of deep integrated learning, the two rotary shaft columns 3 can be utilized to turn the U-shaped side rod 5 to the right front of the display screen terminal body 4, then the U-shaped side rod 5 is driven by the two strip-shaped electric guide rails 2 to slide in front of the display screen terminal body 4, the electrostatically adsorbed dust substances on the surface of the display screen terminal body 4 are erased, the wiping vertical bar 6 in the U-shaped side rod 5 is connected by the elastic surrounding piece 9 during wiping, the first electromagnetic block 7 and the elastic surrounding piece 9 are powered off in the wiping process to lose the connecting force, the wiping vertical bar 6 is abutted and attached to the display screen terminal body 4 under the elastic force of the elastic surrounding piece 9, the wiping strength of the wiping vertical bar 6 can be increased, the magnetic force is recovered between the first electromagnetic block 7 and the elastic surrounding piece 9 when the U-shaped side rod 5 is recovered to the side edge of the display screen terminal body 4, the U-shaped side rod 5 is recovered to the side groove 10 smoothly, and the U-shaped side rod 5 is recovered to the side edge of the display screen terminal body 4, and the smooth maintenance of the wiping vertical bar 5 is favorable for guaranteeing the smooth operation of the depth integrated learning of the display screen terminal body 4.
Second embodiment:
fig. 1 and fig. 4 show that the front end of the U-shaped side rod 5 is provided with a side opening 13, the rear side wall of the side opening 13 is fixedly connected with a folding baffle 11, the folding baffle 11 extends out of the side opening 13, the folding baffle 11 is covered right in front of the display screen terminal body 4, one end of the folding baffle 11, far away from the U-shaped side rod 5, is fixedly connected with a hanging ring piece 12, and the hanging ring piece 12 is clamped with the left side of the display screen terminal body 4.
Fig. 1 and fig. 4 show that after the completion of the region traffic prediction operation of the deep integration study, the U-shaped side rod 5 can be turned over to the front side of the display screen terminal body 4, and the folding baffle 11 is pulled out from the side opening 13 to cover the front of the display screen terminal body 4, so that the risk of dust accumulation on the surface of the display screen terminal body 4 is reduced, and the hanging ring member 12 is buckled with the side edge of the display screen terminal body 4, so that the display screen terminal body 4 is conveniently and stably covered before the display screen terminal body 4, and the definition of the region traffic prediction operation of the deep integration study is guaranteed when the display screen terminal body 4 is utilized next time.
The scope of protection of the above-described embodiments employed in the present application is not limited to the above-described embodiments, and various changes made by those skilled in the art without departing from the spirit of the present application are still within the scope of protection of the present utility model.
Claims (6)
1. A district traffic prediction terminal based on degree of depth integrated study, its characterized in that: including display screen terminal body (4), the equal fixedly connected with bar electric guide rail (2) in upper and lower both ends of display screen terminal body (4), the output fixedly connected with pivot post (3) of bar electric guide rail (2), two the outer end rotation of pivot post (3) is connected with U type side lever (5), side tank (10) have been seted up to the one end that U type side lever (5) is close to display screen terminal body (4), the inside wall fixedly connected with elasticity surrounding part (9) of side tank (10), the one end fixedly connected with of side tank (10) is kept away from to elasticity surrounding part (9) cleans perpendicular strip (6) is close to two second electromagnetism pieces (8) of one end fixedly connected with of elasticity surrounding part (9), the inside wall fixedly connected with two first electromagnetism pieces (7) of side tank (10).
2. The terminal for predicting the district traffic based on deep ensemble learning as set forth in claim 1, wherein: the wiping vertical strip (6) is contacted with the display screen terminal body (4).
3. The terminal for predicting the district traffic based on deep ensemble learning as set forth in claim 1, wherein: the second electromagnetic block (8) is magnetically connected with the first electromagnetic block (7), and the lower end of the display screen terminal body (4) is fixedly connected with the vertical stability base (1).
4. The terminal for predicting the district traffic based on deep ensemble learning as set forth in claim 1, wherein: the front end of the U-shaped side rod (5) is provided with a side opening (13), and the rear side wall of the side opening (13) is fixedly connected with a folding baffle (11).
5. The terminal for predicting district traffic based on deep ensemble learning as set forth in claim 4, wherein: the folding baffle (11) extends out of the side opening (13), and the folding baffle (11) covers right ahead of the display screen terminal body (4).
6. The terminal for predicting district traffic based on deep ensemble learning as set forth in claim 4, wherein: one end of the folding baffle (11) far away from the U-shaped side rod (5) is fixedly connected with a hanging ring piece (12), and the hanging ring piece (12) is clamped with the left side of the display screen terminal body (4).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322036354.9U CN220730966U (en) | 2023-08-01 | 2023-08-01 | Region traffic prediction terminal based on deep ensemble learning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322036354.9U CN220730966U (en) | 2023-08-01 | 2023-08-01 | Region traffic prediction terminal based on deep ensemble learning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN220730966U true CN220730966U (en) | 2024-04-05 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202322036354.9U Active CN220730966U (en) | 2023-08-01 | 2023-08-01 | Region traffic prediction terminal based on deep ensemble learning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN220730966U (en) |
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2023
- 2023-08-01 CN CN202322036354.9U patent/CN220730966U/en active Active
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