CN211076126U - Walking mechanism of image processing machine learning equipment - Google Patents

Walking mechanism of image processing machine learning equipment Download PDF

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Publication number
CN211076126U
CN211076126U CN201922303662.7U CN201922303662U CN211076126U CN 211076126 U CN211076126 U CN 211076126U CN 201922303662 U CN201922303662 U CN 201922303662U CN 211076126 U CN211076126 U CN 211076126U
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CN
China
Prior art keywords
supporting seat
seat
spring
image processing
machine learning
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201922303662.7U
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Chinese (zh)
Inventor
韦灵
黎伟强
倪志平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Lushan College of Guangxi University of Science and Technology
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Lushan College of Guangxi University of Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by Lushan College of Guangxi University of Science and Technology filed Critical Lushan College of Guangxi University of Science and Technology
Priority to CN201922303662.7U priority Critical patent/CN211076126U/en
Application granted granted Critical
Publication of CN211076126U publication Critical patent/CN211076126U/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

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Abstract

The utility model belongs to the technical field of inspection equipment for power grid faults, in particular to a travelling mechanism of image processing machine learning equipment, which comprises a supporting seat, wherein a cavity is formed inside the supporting seat, a movable seat is embedded and connected in the cavity, the top of the movable seat is connected with a cross shaft through a hinged seat, the top of the cross shaft is fixedly connected with a connecting cylinder, a transverse plate is arranged in the cavity, grooves are arranged at two sides inside the supporting seat, vertical shafts are arranged in the grooves, two ends of the transverse plate are connected with shaft sleeves, the shaft sleeves are slidably sleeved on the vertical shafts, first springs are sleeved above and below the shaft sleeves on the vertical shafts, the top of the transverse plate is provided with a plurality of first sleeves, the compression of the first springs, the second springs and the third springs of the travelling mechanism all play a role in buffering and absorbing partial vibration energy through air cushions, thereby ensuring the walking stability.

Description

Walking mechanism of image processing machine learning equipment
Technical Field
The utility model belongs to the technical field of check-out set for the grid fault, concretely relates to running gear of image processing machine learning equipment.
Background
The walking mechanism is a part for walking of the foot of the robot, the robot is a machine device for automatically executing work, can receive human commands, can run programs arranged in advance, and can also act according to principles formulated by artificial intelligence technology, the task of the robot is to assist or replace the work of human work, such as production industry, construction industry or dangerous work, and the input of the walking mechanism is increased along with the input and use of the robot.
Most of robots simulating human behaviors have few walking mechanisms, but most of the walking mechanisms lack damping structures, so that the robots are easy to be unstable in the process of power grid fault detection movement, and fall down easily when encountering uneven roads in the walking process, thereby falling down and damaging the robots.
SUMMERY OF THE UTILITY MODEL
The utility model discloses the technical problem who solves overcomes current defect, provides a big data display device, can effectively solve the problem in the background art.
In order to achieve the above object, the utility model provides a following technical scheme: a walking mechanism of image processing machine learning equipment comprises a supporting seat, wherein a cavity is formed inside the supporting seat, a movable seat is embedded and connected in the cavity, the top of the movable seat is connected with a cross shaft through a hinge seat, the top of the cross shaft is fixedly connected with a connecting cylinder, a transverse plate is arranged in the cavity, grooves are formed in two sides of the inside of the supporting seat, vertical shafts are arranged in the grooves, shaft sleeves are connected to two ends of each transverse plate, the shaft sleeves are slidably sleeved on the vertical shafts, first springs are sleeved on the vertical shafts above and below the shaft sleeves, a plurality of first sleeves are arranged at the top of each transverse plate, first movable rods are embedded and connected at the top ends of the first sleeves, the top ends of the first movable rods are fixedly connected with the movable seats, second springs are sleeved on the outer sides of the first movable rods, rotating rods are hinged to two sides of the bottom of the transverse plate, rod sleeves are, the rod sleeve is in sliding sleeve connection with the cross rod, a third spring is sleeved on the cross rod between the rod sleeve and the inner wall of the supporting seat, and two ends of the cross rod are fixedly connected with the inner wall of the supporting seat.
Preferably, the supporting seat below is equipped with the bottom plate, the bottom plate top scarf joint has two air cushions, the air cushion top with the supporting seat bottom is contradicted and is connected, bottom plate top four corners department is equipped with the second sleeve, second sleeve top embedding is connected with the second movable rod, the second movable rod top with the supporting seat rigid coupling.
Preferably, a connecting threaded hole is formed in the top end of the connecting cylinder.
Preferably, two connecting shafts are arranged on two sides of the movable seat, and the end parts of the connecting shafts penetrate through strip-shaped through holes formed in the outer wall of the supporting seat.
Preferably, two ends of the first spring are respectively and fixedly connected with the groove and the shaft sleeve.
Preferably, two ends of the second spring are respectively and fixedly connected with the first sleeve and the movable seat.
Compared with the prior art, the beneficial effects of the utility model are that:
1. through setting up first spring, second spring, third spring, when the robot walked, the sliding seat moved down, and first movable rod downstream this moment drives the second spring compression, and after the second spring compression, the axle sleeve moved down, and first spring compression, the axle sleeve moved down the back, and the diaphragm moved down makes rod cover lateral shifting, makes the third spring compression, and the compression of first spring, second spring, third spring all plays buffering cushioning effect.
2. Through setting up connecting axle and bar through-hole, when the sliding seat rebound, first spring, second spring, third spring progressively extend, when the connecting axle card is at bar through-hole top, supporting seat and sliding seat synchronous motion to rocking or vibrations when the walking can cushion and absorb partial vibrations ability through the air cushion, thereby guaranteed the stability of walking.
Drawings
The accompanying drawings are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention, and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic perspective view of the present invention;
fig. 2 is an internal structure diagram of the support base of the present invention.
In the figure: 1. a supporting seat; 2. a cavity; 3. a movable seat; 4. a hinged seat; 5. a horizontal axis; 6. a connecting cylinder; 7. a transverse plate; 8. a groove; 9. a vertical axis; 10. a shaft sleeve; 11. a first spring; 12. a first sleeve; 13. a first movable bar; 14. a second spring; 15. a rotating rod; 16. a rod sleeve; 17. a cross bar; 18. a third spring; 19. a base plate; 20. an air cushion; 21. a second sleeve; 22. a second movable bar; 23. a connecting shaft; 24. and a strip-shaped through hole.
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.
Example 1
Referring to fig. 1-2, the present invention provides the following technical solutions: a walking mechanism of image processing machine learning equipment comprises a supporting seat 1, a cavity 2 is formed in the supporting seat 1, a movable seat 3 is embedded and connected in the cavity 2, the top of the movable seat 3 is connected with a cross shaft 5 through a hinged seat 4, the top of the cross shaft 5 is fixedly connected with a connecting cylinder 6, when the walking mechanism is used, the walking mechanism is connected and fixed with the leg of a robot through the connecting cylinder 6, a transverse plate 7 is arranged in the cavity 2, grooves 8 are formed in two sides in the supporting seat 1, vertical shafts 9 are arranged in the grooves 8, shaft sleeves 10 are connected to two ends of the transverse plate 7, the shaft sleeves 10 are sleeved on the vertical shafts 9 in a sliding mode, first springs 11 are sleeved above and below the shaft sleeves 10 on the vertical shafts 9, a plurality of first sleeves 12 are arranged at the top of the transverse plate 7, first movable rods 13 are embedded and connected at the top ends of the first sleeves 12, the top ends of the first movable rods 13 are fixedly connected with, the two sides of the bottom of the transverse plate 7 are hinged with rotating rods 15, the bottom ends of the rotating rods 15 are hinged with rod sleeves 16, the rod sleeves 16 are slidably sleeved on a cross rod 17, a third spring 18 is sleeved on the cross rod 17 between the rod sleeves 16 and the inner wall of the supporting seat 1, the two ends of the cross rod 17 are fixedly connected with the inner wall of the supporting seat 1, when a robot walks, the movable seat 3 moves downwards, at the moment, the first movable rod 13 moves downwards to drive the second spring 14 to compress, after the second spring 14 compresses, the shaft sleeve 10 moves downwards, the first spring 11 compresses, after the shaft sleeve 10 moves downwards, the transverse plate 7 moves downwards to enable the rod sleeves 16 to move transversely, the third spring 18 compresses, and the first spring 11, the second spring 14 and the third spring 18 are compressed to play a role in buffering and damping.
Supporting seat 1 below is equipped with bottom plate 19, and 19 top inlays and has been connected with two air cushions 20 at the bottom of bottom plate, and the conflict is connected in air cushion 20 top and supporting seat 1 bottom, and 19 top four corners departments of bottom plate are equipped with second sleeve 21, and the embedding of second sleeve 21 top is connected with second movable rod 22, and second movable rod 22 top and supporting seat 1 rigid coupling, the production of vibrations has been reduced in the existence of air cushion 20 to the stability of walking has been guaranteed.
Connecting threaded hole has been seted up on 6 tops of connecting cylinder, and threaded screw hole is connected fixedly with the shank of robot through connecting cylinder 6, and 3 both sides of sliding seat all are equipped with two connecting axles 23, and connecting axle 23 tip runs through the bar through-hole 24 that 1 outer wall of supporting seat was seted up, and when sliding seat 3 upwards removed, first spring 11, second spring 14, the gradual extension of third spring 18, when connecting axle 23 card is at bar through-hole 24 tops, supporting seat 1 and 3 synchronous motion of sliding seat.
Two ends of the first spring 11 are respectively fixedly connected with the groove 8 and the shaft sleeve 10, and two ends of the second spring 14 are respectively fixedly connected with the first sleeve 12 and the movable seat 3.
The utility model discloses a theory of operation and use flow: the walking mechanism is fixedly connected with the leg part of the robot through the threaded hole of the thread on the connecting cylinder 6, when the robot walks, the movable seat 3 moves downwards, at the same time, the first movable rod 13 moves downwards to drive the second spring 14 to compress, after the second spring 14 is compressed, the shaft sleeve 10 moves downwards, the first spring 11 is compressed, after the shaft sleeve 10 moves downwards, the transverse plate 7 moves downwards to enable the rod sleeve 16 to move transversely, the third spring 18 is compressed, the compression of the first spring 11, the second spring 14 and the third spring 18 all play a role of buffering and damping, when the movable seat 3 moves upward, the first spring 11, the second spring 14 and the third spring 18 are gradually extended, when the connecting shaft 23 is clamped at the top of the strip-shaped through hole 24, the supporting seat 1 and the movable seat 3 move synchronously, and the shaking or vibration during walking can be buffered by the air cushion 20 and part of the vibration energy can be absorbed, thereby ensuring the stability of walking.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing embodiments, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (6)

1. The utility model provides a running gear of image processing machine learning, includes supporting seat (1), its characterized in that: the supporting seat is characterized in that a cavity (2) is formed inside the supporting seat (1), a movable seat (3) is embedded and connected in the cavity (2), the top of the movable seat (3) is connected with a cross shaft (5) through a hinged seat (4), a connecting cylinder (6) is fixedly connected to the top of the cross shaft (5), a transverse plate (7) is arranged in the cavity (2), grooves (8) are formed in two sides of the inside of the supporting seat (1), vertical shafts (9) are arranged in the grooves (8), shaft sleeves (10) are connected to two ends of the transverse plate (7), the shaft sleeves (10) are slidably sleeved on the vertical shafts (9), first springs (11) are sleeved on the vertical shafts (9) above and below the shaft sleeves (10), a plurality of first sleeves (12) are arranged at the top of the transverse plate (7), and first movable rods (13) are embedded and connected at the top ends of the first sleeves (12), first movable rod (13) top with sliding seat (3) rigid coupling, just first movable rod (13) outside cover is equipped with second spring (14), diaphragm (7) bottom both sides all articulate has bull stick (15), bull stick (15) bottom articulates there is pole cover (16), pole cover (16) slide cup joint with horizontal pole (17) on, pole cover (16) with the cover is equipped with third spring (18) on horizontal pole (17) between supporting seat (1) the inner wall, just horizontal pole (17) both ends with supporting seat (1) inner wall rigid coupling.
2. The running mechanism of an image processing machine learning device according to claim 1, characterized in that: supporting seat (1) below is equipped with bottom plate (19), bottom plate (19) top has inlayed two air cushions (20), air cushion (20) top with supporting seat (1) bottom is contradicted and is connected, bottom plate (19) top four corners department is equipped with second sleeve (21), second sleeve (21) top embedding is connected with second movable rod (22), second movable rod (22) top with supporting seat (1) rigid coupling.
3. The running mechanism of an image processing machine learning device according to claim 1, characterized in that: the top end of the connecting cylinder (6) is provided with a connecting threaded hole.
4. The running mechanism of an image processing machine learning device according to claim 1, characterized in that: two connecting shafts (23) are arranged on two sides of the movable seat (3), and the end parts of the connecting shafts (23) penetrate through strip-shaped through holes (24) formed in the outer wall of the supporting seat (1).
5. The running mechanism of an image processing machine learning device according to claim 1, characterized in that: two ends of the first spring (11) are respectively fixedly connected with the groove (8) and the shaft sleeve (10).
6. The running mechanism of an image processing machine learning device according to claim 1, characterized in that: and two ends of the second spring (14) are respectively and fixedly connected with the first sleeve (12) and the movable seat (3).
CN201922303662.7U 2019-12-20 2019-12-20 Walking mechanism of image processing machine learning equipment Expired - Fee Related CN211076126U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201922303662.7U CN211076126U (en) 2019-12-20 2019-12-20 Walking mechanism of image processing machine learning equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201922303662.7U CN211076126U (en) 2019-12-20 2019-12-20 Walking mechanism of image processing machine learning equipment

Publications (1)

Publication Number Publication Date
CN211076126U true CN211076126U (en) 2020-07-24

Family

ID=71647636

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201922303662.7U Expired - Fee Related CN211076126U (en) 2019-12-20 2019-12-20 Walking mechanism of image processing machine learning equipment

Country Status (1)

Country Link
CN (1) CN211076126U (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114043530A (en) * 2021-12-09 2022-02-15 张安佶 Robot equipment for auxiliary teaching

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114043530A (en) * 2021-12-09 2022-02-15 张安佶 Robot equipment for auxiliary teaching

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GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20200724

Termination date: 20201220

CF01 Termination of patent right due to non-payment of annual fee