CN220186256U - On-site high-risk operation monitoring device based on deep learning - Google Patents
On-site high-risk operation monitoring device based on deep learning Download PDFInfo
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- CN220186256U CN220186256U CN202320546413.4U CN202320546413U CN220186256U CN 220186256 U CN220186256 U CN 220186256U CN 202320546413 U CN202320546413 U CN 202320546413U CN 220186256 U CN220186256 U CN 220186256U
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- camera
- supporting seat
- fixedly connected
- fixed frame
- plate
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- 238000012806 monitoring device Methods 0.000 title claims abstract description 17
- 238000013135 deep learning Methods 0.000 title claims abstract description 13
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 26
- 239000007921 spray Substances 0.000 claims description 13
- 238000012544 monitoring process Methods 0.000 claims description 9
- 230000002940 repellent Effects 0.000 claims description 8
- 239000005871 repellent Substances 0.000 claims description 8
- 230000000694 effects Effects 0.000 abstract description 10
- 238000004140 cleaning Methods 0.000 description 9
- 238000000034 method Methods 0.000 description 8
- 230000007547 defect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 239000000523 sample Substances 0.000 description 1
- 239000007858 starting material Substances 0.000 description 1
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Abstract
The utility model discloses a field high-risk operation monitoring device based on deep learning, which comprises a supporting seat, wherein the top of the supporting seat is fixedly connected with a fixed frame, and a camera is arranged at the top of the supporting seat; the movable plate is arranged in the supporting seat, the movable plate and the supporting seat form an up-down sliding structure, a rotary tripod head is arranged at the bottom of the camera, the bottom of the rotary tripod head is fixedly connected with the movable plate, and the top of the camera is fixedly connected with a fixed plate; the top of fixed frame fixed mounting has the bird ware that drives, the bottom fixedly connected with reciprocating screw of bird ware. This on-spot high risk operation monitoring device based on degree of depth study can wrap up the protection through the fixed frame to the camera on the supporting seat, has played the protection effect to the camera to through the setting of driving the bird ware, can drive birds, avoid birds to cause the damage to the camera.
Description
Technical Field
The utility model relates to the technical field of monitoring devices, in particular to a field high-risk operation monitoring device based on deep learning.
Background
The monitoring device, namely the device for realizing real-time monitoring of the external environment through the action of the camera probe, can transmit or send the environment monitored by the outside to the monitor for display through the transmission system, and has very wide application in real life;
for example, the high-point monitoring camera with the publication number of CN216531456U is convenient to clean a lens of a camera main body by arranging a rotary holder, an electric telescopic rod, a cleaning plate and a cleaning brush in a matched mode, so that when the camera main body is cleaned, a worker starts the electric telescopic rod through an external controller, then the electric telescopic rod drives the cleaning plate to move upwards, and then the rotary holder is started to rotate, so that the camera main body is driven to rotate under the rotation of the rotary holder, then the cleaning brush is enabled to clean dust on the surface of the lens under the rotation of the camera main body, and after the cleaning is finished, the cleaning plate is driven to move downwards through the electric telescopic rod;
however, the camera has poor protection effect on the camera body in the actual use process, is easy to be corroded by external objects, is not practical enough, and has certain defects;
therefore, we propose a field high-risk operation monitoring device based on deep learning, which can well solve the problems.
Disclosure of Invention
The utility model aims to provide a field high-risk operation monitoring device based on deep learning, which aims to solve the problems that the camera has poor protection effect on a camera body in the actual use process, is easy to be corroded by external objects, is not practical and has certain defects in the background technology.
In order to achieve the above purpose, the present utility model provides the following technical solutions: the on-site high-risk operation monitoring device based on deep learning comprises a supporting seat, wherein the top of the supporting seat is fixedly connected with a fixed frame, and a camera is arranged at the top of the supporting seat;
further comprises:
the movable plate is arranged in the supporting seat, the movable plate and the supporting seat form an up-down sliding structure, a rotary tripod head is arranged at the bottom of the camera, the bottom of the rotary tripod head is fixedly connected with the movable plate, and the top of the camera is fixedly connected with a fixed plate;
the top of fixed frame fixed mounting has the bird ware that drives, the bottom fixedly connected with reciprocating screw of bird ware.
Preferably, a movable rod is arranged at the top of the inner side of the fixed frame, two ends of the movable rod and the inner wall of the fixed frame form an up-down sliding structure, and the bottom of the movable rod is fixedly connected with the fixed plate through a connecting rod.
Preferably, the reciprocating screw penetrates through the movable rod, and the reciprocating screw is in threaded connection with the movable rod.
Through adopting above technical scheme for the bird ware drives the rotation of reciprocating screw at pivoted in-process, further messenger movable rod reciprocates in the inboard of fixed frame, thereby can drive the oscilaltion of camera, and through the effect of cloud platform, can also drive the rotation of camera, thereby improves the monitoring scope of camera.
Preferably, the motor is arranged in the fixed frame, the right end of the motor is connected with the driving shaft, a rotating shaft is arranged in the fixed frame, and the rotating shaft is meshed and connected with the driving shaft through a bevel gear.
Through adopting above technical scheme for the motor drives the rotation of drive shaft, thereby through the effect of conical gear, can drive the rotation of rotation axis.
Preferably, one end of the rotating shaft far away from the driving shaft is fixedly connected with a rotating plate, an outer side wall movable shaft of the rotating plate is connected with a connecting rod, and the other end movable shaft of the connecting rod is connected with a piston plate.
Preferably, the water tank is fixedly connected with the front side and the rear side of the top of the supporting seat, the piston plate and the inner side wall of the water tank form a left-right sliding structure, the inner side wall of the water tank is provided with a spray head, and the spray head corresponds to the camera.
Through adopting above technical scheme, the rotation of rotation axis rotation can drive the rotation of pivoted board, and the pivoted board can make the piston board slide about the inside of water tank at pivoted in-process to spray the inside water of water tank around the camera from the shower nozzle, carry out the water spray cleaning to the camera's of camera lens.
Compared with the prior art, the utility model has the beneficial effects that: this scene high risk operation monitoring device based on degree of depth study can wrap up the protection through the fixed frame to the camera on the supporting seat, has played the protection effect to the camera to through the setting of driving the bird ware, can drive birds, avoid birds to cause the damage to the camera, be applicable to the control of high risk operation, its concrete content is as follows:
(1) This on-spot high risk operation monitoring device based on degree of depth study is provided with the fixed frame and can wraps up the protection to the camera on the supporting seat, has played the guard effect to the camera to through the setting of driving the bird ware, can drive birds, avoid birds to cause the damage to the camera, be applicable to the control of high risk operation;
(2) This on-spot high risk operation monitoring device based on degree of depth study is provided with the rotor plate, through the effect of motor for the operation of conical gear group, thereby drive the rotation of rotor plate, the rotor plate can make the piston plate slide about the inside of water tank at pivoted in-process, thereby spray the inside water of water tank around the camera from the shower nozzle, carry out the water spray cleaning to the camera's of camera lens.
Drawings
FIG. 1 is a schematic view of the main section structure of the present utility model;
FIG. 2 is a schematic side sectional view of the present utility model;
FIG. 3 is a schematic diagram of a main sectional structure of a movable rod and a reciprocating screw rod connection of the utility model;
FIG. 4 is a schematic view of a fixing frame of the present utility model in a top-down view;
fig. 5 is a schematic side sectional view of a rotating plate according to the present utility model.
In the figure: 1. a support base; 2. a fixed frame; 3. a camera; 4. a cradle head; 5. a movable plate; 6. a motor; 7. a movable rod; 8. a bird repellent device; 9. a reciprocating screw; 10. a fixing plate; 11. a water tank; 12. a rotation shaft; 13. a rotating plate; 14. a connecting rod; 15. a spray head; 16. a piston plate.
Detailed Description
The following description of the embodiments of the present utility model will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present utility model, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the utility model without making any inventive effort, are intended to be within the scope of the utility model.
Referring to fig. 1-5, the present utility model provides a technical solution: the on-site high-risk operation monitoring device based on deep learning comprises a supporting seat 1, wherein the top of the supporting seat 1 is fixedly connected with a fixed frame 2, and a camera 3 is arranged at the top of the supporting seat 1;
further comprises: the movable plate 5 is arranged in the supporting seat 1, the movable plate 5 and the supporting seat 1 form an up-down sliding structure, the bottom of the camera 3 is provided with the rotary holder 4, the bottom of the rotary holder 4 is fixedly connected with the movable plate 5, and the top of the camera 3 is fixedly connected with the fixed plate 10; the top of the fixed frame 2 is fixedly provided with a bird repellent 8, and the bottom of the bird repellent 8 is fixedly connected with a reciprocating screw rod 9. The inside top of fixed frame 2 is provided with movable rod 7, and the both ends of movable rod 7 all constitute up-and-down sliding structure with the inner wall of fixed frame 2, and the bottom of movable rod 7 passes through connecting rod and fixed plate 10 fixed connection. The reciprocating screw 9 runs through the movable rod 7, and the reciprocating screw 9 and the movable rod 7 threaded connection, after the bird repellent 8 is started, the bird repellent 8 can be driven to rotate, the birds are prevented from damaging the camera 3, the bird repellent 8 can drive the reciprocating screw 9 to rotate in the rotating process, the movable rod 7 can further move up and down on the inner side of the fixed frame 2, the camera 3 can be driven to move up and down, and the camera 3 can be driven to rotate through the action of the cradle head 4, so that the monitoring range of the camera 3 is improved.
The motor 6 is installed in the fixed frame 2, the right end of the motor 6 is connected with a driving shaft, a rotating shaft 12 is arranged in the fixed frame 2, and the rotating shaft 12 is meshed with the driving shaft through a bevel gear. One end of the rotating shaft 12 far away from the driving shaft is fixedly connected with a rotating plate 13, the movable shaft of the outer side wall of the rotating plate 13 is connected with a connecting rod 14, and the movable shaft of the other end of the connecting rod 14 is connected with a piston plate 16. Both sides all fixedly connected with water tank 11 around the top of supporting seat 1, piston plate 16 constitutes left and right sliding structure with the inside wall of water tank 11, and shower nozzle 15 is installed to the inside wall of water tank 11, shower nozzle 15 corresponds with camera 3, starter motor 6, motor 6 can drive the rotation of drive shaft, thereby through the effect of conical gear, can drive rotation of rotation axis 12, rotation axis 12 rotates and can drive the rotation of rotating plate 13, rotating plate 13 is at the pivoted in-process, can make piston plate 16 slide in the inside left and right sides of water tank 11, thereby spray the inside water of water tank 11 around camera 3 from shower nozzle 15, carry out the water spray cleaning to the camera 3's of camera lens.
Working principle: when the on-site high-risk operation monitoring device based on deep learning is used, the camera 3 on the supporting seat 1 can be wrapped and protected through the fixed frame 2, so that the protection effect of the camera 3 is achieved, birds can be driven through the arrangement of the bird repeller 8, damage to the camera 3 caused by the birds is avoided, and the on-site high-risk operation monitoring device is suitable for monitoring high-risk operation;
in the rotating process, the bird repeller 8 can drive the reciprocating screw rod 9 to rotate, so that the camera 3 can be driven to move up and down, and the camera 3 can be driven to rotate through the action of the cradle head 4, so that the monitoring range of the camera 3 is improved;
the motor 6 is started to enable the piston plate 16 to slide left and right in the water tank 11, so that water in the water tank 11 is sprayed around the camera 3 from the spray head 15 to spray water to clean the lens of the camera 3, and details which are not described in detail in the specification belong to the prior art known to those skilled in the art.
Although the present utility model has been described 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, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements and changes may be made without departing from the spirit and principles of the present utility model.
Claims (4)
1. The on-site high-risk operation monitoring device based on deep learning comprises a supporting seat (1), wherein a fixed frame (2) is fixedly connected to the top of the supporting seat (1), and a camera (3) is installed on the top of the supporting seat (1);
characterized by further comprising:
the movable plate (5) is arranged in the supporting seat (1), the movable plate (5) and the supporting seat (1) form an up-down sliding structure, a rotary cradle head (4) is arranged at the bottom of the camera (3), the bottom of the rotary cradle head (4) is fixedly connected with the movable plate (5), and a fixed plate (10) is fixedly connected with the top of the camera (3);
the top of the fixed frame (2) is fixedly provided with a bird repellent device (8), and the bottom of the bird repellent device (8) is fixedly connected with a reciprocating screw rod (9);
the top of the inner side of the fixed frame (2) is provided with a movable rod (7), both ends of the movable rod (7) and the inner wall of the fixed frame (2) form an up-down sliding structure, and the bottom of the movable rod (7) is fixedly connected with the fixed plate (10) through a connecting rod;
the reciprocating screw rod (9) penetrates through the movable rod (7), and the reciprocating screw rod (9) is in threaded connection with the movable rod (7).
2. The deep learning-based on-site high risk job monitoring apparatus as set forth in claim 1, wherein: the motor (6) is installed in the fixed frame (2), the right end of the motor (6) is connected with a driving shaft, a rotating shaft (12) is arranged in the fixed frame (2), and the rotating shaft (12) is meshed and connected with the driving shaft through a bevel gear.
3. The on-site high risk job monitoring apparatus based on deep learning as set forth in claim 2, wherein: one end of the rotating shaft (12) far away from the driving shaft is fixedly connected with a rotating plate (13), the movable shaft of the outer side wall of the rotating plate (13) is connected with a connecting rod (14), and the movable shaft of the other end of the connecting rod (14) is connected with a piston plate (16).
4. A deep learning based on-site high risk job monitoring apparatus as defined in claim 3, wherein: the water tank (11) is fixedly connected to the front side and the rear side of the top of the supporting seat (1), the piston plate (16) and the inner side wall of the water tank (11) form a left-right sliding structure, the spray head (15) is mounted on the inner side wall of the water tank (11), and the spray head (15) corresponds to the camera (3).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202320546413.4U CN220186256U (en) | 2023-03-20 | 2023-03-20 | On-site high-risk operation monitoring device based on deep learning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202320546413.4U CN220186256U (en) | 2023-03-20 | 2023-03-20 | On-site high-risk operation monitoring device based on deep learning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN220186256U true CN220186256U (en) | 2023-12-15 |
Family
ID=89103327
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202320546413.4U Active CN220186256U (en) | 2023-03-20 | 2023-03-20 | On-site high-risk operation monitoring device based on deep learning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN220186256U (en) |
-
2023
- 2023-03-20 CN CN202320546413.4U patent/CN220186256U/en active Active
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