Intelligent bulk distribution positioning mechanism

Abstract

The utility model discloses an intelligent bulk distribution positioning mechanism which comprises an AI recognition device body, a camera and a discharging pipe, a movable frame is arranged at the bottom end of the AI recognition device body, two fixing frames are fixedly installed at the bottom end of the movable frame, supporting columns are fixedly installed at the bottom ends of the fixing frames, and the supporting columns are fixedly installed at the bottom ends of the fixing frames. The camera is arranged at the bottom end of the supporting column, the camera is electrically connected with the AI recognition device body, connecting plates are fixedly connected to the inner walls of the two sides of the moving frame, a sliding ring is fixedly connected between the two connecting plates, the discharging pipe is slidably connected with the sliding ring, and two ball screws are fixedly installed at the bottom ends of the two fixing frames. Lead screw sliding blocks are installed on the two ball screws in a threaded mode. According to the utility model, the camera can be cleaned before and after each charging, and the surface cleaning of the camera is a necessary condition for normal operation of the device.

Description

Technical Field

[0001] The utility model relates to the technical field of bulk distribution, in particular to an intelligent bulk distribution positioning mechanism. Background Art

[0002] In today's logistics industry, the traditional loading method of tanker trucks has some inherent challenges. In the past, this process was highly dependent on the driving skills and experience of drivers. They needed to park the vehicle precisely to ensure the accurate docking of the feeding port with the loading equipment. This not only increased the complexity of loading but also consumed a large amount of time and even might lead to low loading efficiency or material leakage due to human errors. To improve the loading accuracy and efficiency and reduce the influence of human factors, the industry urgently needs an intelligent solution to revolutionize this traditional process.

[0003] With the breakthrough of artificial intelligence technology, we have developed an AI intelligent bulk distribution system. This innovative technology has brought a revolutionary change to the logistics loading field. The system combines AI vision recognition and intelligent mechanical control technologies, endowing the loading process with an unprecedented level of intelligence and automation. After the tanker truck is parked at the designated position, the system uses advanced vision recognition algorithms to quickly and accurately lock the position of the feeding port. Then, through intelligent control, the bulk head can move freely in four directions on the x-axis and y-axis, automatically align and extend into the feeding port to start the efficient automatic loading operation. Once the system detects that the loading amount reaches the preset standard, it will automatically raise the bulk head to end the entire loading process. The introduction of this technology not only significantly improves the loading efficiency and accuracy but also reduces the labor cost and safety risks, demonstrating the broad application prospects of AI technology in the logistics industry.

[0004] A crucial component in AI vision recognition technology is the camera. It is like the "eyes" of the system, responsible for capturing and identifying key information. However, during the process of loading and unloading goods, a large amount of dust will inevitably be generated. This dust will adhere to the surface of the camera, seriously affecting its shooting quality and recognition accuracy. The accumulation of dust will cause image blurring, an increase in the recognition error rate, and then lead to system misjudgment or delayed response, and even may cause safety accidents during the loading process. If not cleaned in time, it will not only affect the loading and unloading efficiency but also may cause long-term damage to the equipment. Most of the current AI intelligent bulk distribution systems on the market do not have a specific automatic cleaning mechanism and still rely on manual cleaning at regular intervals. Although manual cleaning is temporarily effective, it has many disadvantages, such as low cleaning efficiency, high cost, and may damage the camera due to improper operation. More importantly, manual cleaning cannot achieve real-time monitoring and immediate cleaning, which to a certain extent weakens the intelligent and automated advantages of the AI system. Summary of the Utility Model

[0005] The purpose of the present utility model is to provide an intelligent bulk discharging positioning mechanism to solve the above deficiencies in the prior art.

[0006] To achieve the above object, the present utility model adopts the following technical solutions: An intelligent bulk discharging positioning mechanism includes an AI recognition device body, a camera, and a feeding pipe. A moving frame is provided at the bottom end of the AI recognition device body. Two fixed frames are fixedly installed at the bottom end of the moving frame. Support columns are fixedly installed at the bottom end of the fixed frames. The camera is provided at the bottom end of the support column. The camera is electrically connected to the AI recognition device body. Connecting plates are fixedly connected to the inner walls on both sides of the moving frame. A slip ring is fixedly connected between the two connecting plates. The feeding pipe is slidably connected to the slip ring. Two ball screws are fixedly installed at the bottom end of each of the two fixed frames. A screw slider is threadedly installed on the two ball screws. A cleaning disk is sleeved outside the screw slider. A plurality of cleaning brushes are fixedly installed on the outer side wall of the cleaning disk. A connection box is provided between the side wall of the feeding pipe and the plurality of cleaning disks. A dust treatment component is provided inside the connection box.

[0007] As a further description of the above technical solution: The dust treatment component includes a groove. The cleaning disk is rotatably connected to the connection box through the groove. Adsorption grooves are formed on the inner wall of the groove. The width of the adsorption groove is the same as the length of the cleaning brush.

[0008] As a further description of the above technical solution: Static adsorption layers are provided at the top and bottom ends of the adsorption groove.

[0009] As a further description of the above technical solution: A dust suction device body is provided inside the connection box. A plurality of dust suction pipes are communicated and installed on the side wall of the dust suction device body. The plurality of dust suction pipes are communicated with the inside of the adsorption groove.

[0010] As a further description of the above technical solution: Limit rings are fixedly installed at the bottom ends of the plurality of ball screws. The diameter of the limit ring is larger than the diameter of the ball screw.

[0011] The present utility model provides an intelligent bulk discharging positioning mechanism. It has the following beneficial effects: During the downward movement of the feeding pipe, it drives the plurality of cleaning disks to move downward. During the movement, the screw slider slides on the ball screw, and the screw slider rotates, driving the cleaning disk to rotate. When the cleaning disk moves to both sides of the camera, the cleaning brushes on the cleaning disks on both sides of the camera can clean the camera. And the length of the ball screw is long enough to facilitate the feeding pipe to descend to a certain height. In the initial state, the cleaning disk is at the upper end of the ball screw and will not block the camera. It realizes that the camera can be cleaned before and after each loading, and ensuring the cleanliness of the camera surface is a necessary condition for the normal operation of the device.

[0012] It should be understood that the foregoing general description and the following detailed description are merely exemplary and explanatory and are not intended to limit the present disclosure.

[0013] This application document provides an overview of various implementations or examples of the technology described in the present disclosure and is not a full disclosure of the entire scope or all features of the disclosed technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the overall three-dimensional structure of an intelligent bulk dispensing positioning mechanism proposed by the present utility model;

[0015] Figure 2 It is a schematic diagram of the three-dimensional structure from another perspective of the present utility model;

[0016] Figure 3 It is a schematic sectional view of the interior of the connection box of the present utility model;

[0017] Figure 4 It is a schematic top view of the interior of the connection box of the present utility model;

[0018] Figure 5 It is a schematic front view of the present utility model in actual application.

[0019] LEGEND DESCRIPTION:

[0020] 1. AI recognition device body; 2. blanking pipe; 3. moving frame; 4. connecting plate; 5. slip ring; 6. fixing frame; 7. support column; 8. camera; 9. ball screw; 10. limit ring; 11. cleaning disc; 12. cleaning brush; 13. connection box; 14. groove; 15. adsorption groove; 16. electrostatic adsorption layer; 17. dust suction pipe; 18. dust suction device body; 19. screw slider. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] Next, the technical solutions in the embodiments of the present utility model will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present utility model. Obviously, the described embodiments are only a part of the embodiments of the present utility model, rather than all the embodiments.

[0022] Referring to Figures 1-5, An intelligent bulk dispensing positioning mechanism, including the AI recognition device body 1, a camera 8, and a blanking pipe 2. A moving frame 3 is provided at the bottom end of the AI recognition device body 1. Two fixed frames 6 are fixedly installed at the bottom end of the moving frame 3. A support column 7 is fixedly installed at the bottom end of the fixed frame 6. The camera 8 is provided at the bottom end of the support column 7. The camera 8 is electrically connected to the AI recognition device body 1. Connecting plates 4 are fixedly connected to the inner walls on both sides of the moving frame 3. A slip ring 5 is fixedly connected between the two connecting plates 4. The blanking pipe 2 is slidably connected to the slip ring 5. Two ball screws 9 are fixedly installed at the bottom end of each of the two fixed frames 6. A screw slider 19 is threadedly installed on the two ball screws 9. A cleaning disc 11 is sleeved outside the screw slider 19. A plurality of cleaning brushes 12 are fixedly installed on the outer side wall of the cleaning disc 11. A connection box 13 is provided between the side wall of the blanking pipe 2 and the plurality of cleaning discs 11. A dust treatment component is provided inside the connection box 13; the AI recognition device body 1 is a prior art. Its function is to automatically locate the feed inlet of the tanker through the camera 8 and use AI vision recognition technology, and then automatically extend and fall into the feed inlet, and then start automatic loading. After the signal of full loading is sent, the bulk head will automatically rise to end the loading. Among them, the moving frame 3 can drive the blanking pipe 2 to move left, right, forward and backward, that is, move in the X-axis and Y-axis directions. The blanking pipe 2 can move up and down on the slip ring 5 to achieve the movement of the Z-axis. When the blanking pipe 2 moves above the feed inlet and moves downward, it drives a plurality of cleaning discs 11 to move downward. During the movement, the screw slider 19 slides on the ball screw 9, and the screw slider 19 rotates, driving the cleaning disc 11 to rotate. When the cleaning disc 11 moves to both sides of the camera 8, the cleaning brushes 12 on the cleaning discs 11 on both sides of the camera 8 can clean the camera 8. And the length of the ball screw 9 is long enough to facilitate the blanking pipe 2 to descend to a certain height. In the initial state, the cleaning disc 11 is at the upper end of the ball screw 9 and will not block the camera 8, realizing that the camera 8 can be cleaned before and after each loading, and ensuring that the surface of the camera 8 is clean is a necessary condition for the normal operation of the device.

[0023] As a preferred technical solution of this embodiment, the dust treatment component includes a groove 14. The cleaning disc 11 is rotatably connected to the connection box 13 through the groove 14. An adsorption groove 15 is opened on the inner wall of the groove 14. The width of the adsorption groove 15 is the same as the length of the cleaning brush 12.

[0024] As a preferred technical solution of this embodiment, static adsorption layers 16 are provided at the top and bottom ends of the adsorption groove 15; during the rotation of the cleaning disc 11, when the cleaning brush 12 rotates into the connection box 13, the static adsorption layer 16 inside the adsorption groove 15 can preliminarily adsorb the dust on the cleaning brush 12, reducing the dust.

[0025] As a preferred technical solution of this embodiment, a dust suction device body 18 is provided inside the connection box 13. A plurality of dust suction pipes 17 are connected and installed on the side wall of the dust suction device body 18, and the plurality of dust suction pipes 17 are communicated with the inside of the adsorption groove 15; through the dust suction pipes 17, the dust on the cleaning disc 11 can be sucked into the inside of the dust suction device body 18, realizing further cleaning of the dust, greatly reducing the dust on the cleaning brush 12, and facilitating the subsequent cleaning of the camera 8 by the cleaning brush 12.

[0026] As a preferred technical solution of this embodiment, a limit ring 10 is fixedly installed at the bottom end of each of the plurality of ball screws 9, and the diameter of the limit ring 10 is larger than the diameter of the ball screw 9; the setting of the limit ring 10 can limit the cleaning disc 11 and the lead screw slider 19, preventing the cleaning disc 11 from leaving the ball screw 9.

[0027] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution of the present invention and its inventive concept, makes equivalent substitutions or changes, and should be covered within the protection scope of the present invention.

Claims

1. An intelligent bulk dispensing positioning mechanism, comprising an AI recognition device body (1), a camera (8) and a feeding tube (2), wherein a movable frame (3) is arranged at the bottom end of the AI ​​recognition device body (1), two fixed frames (6) are fixedly installed at the bottom end of the movable frame (3), a support column (7) is fixedly installed at the bottom end of the fixed frame (6), the camera (8) is arranged at the bottom end of the support column (7), the camera (8) is electrically connected to the AI ​​recognition device body (1), the inner walls on both sides of the movable frame (3) are fixedly connected with connecting plates (4), a slip ring (5) is fixedly connected between the two connecting plates (4), the feeding tube (2) is slidably connected to the slip ring (5), and the characteristics are as follows: Two ball screws (9) are fixedly mounted at the bottom ends of the two fixing frames (6), and screw sliders (19) are threadedly mounted on the two ball screws (9). A cleaning disc (11) is sleeved on the outside of the screw slider (19), and a plurality of cleaning brushes (12) are fixedly mounted on the outer wall of the cleaning disc (11). A connecting box (13) is arranged between the side wall of the discharge pipe (2) and the plurality of cleaning discs (11), and a dust treatment component is arranged inside the connecting box (13).

2. The intelligent bulk dispensing positioning mechanism according to claim 1, characterized in that: The dust handling component comprises a groove (14), the cleaning disc (11) is rotatably connected to the connecting box (13) via the groove (14), an adsorption groove (15) is provided on the inner wall of the groove (14), and the width of the adsorption groove (15) is consistent with the length of the cleaning brush (12).

3. The intelligent bulk dispensing positioning mechanism according to claim 2, characterized in that: The top and bottom ends of the adsorption groove (15) are both provided with an electrostatic adsorption layer (16).

4. The intelligent bulk dispensing positioning mechanism according to claim 1, characterized in that: A dust collection device body (18) is arranged inside the connection box (13), and a plurality of dust collection pipes (17) are connected and installed on the side wall of the dust collection device body (18), and the plurality of dust collection pipes (17) are connected to the interior of the adsorption tank (15).

5. The intelligent bulk dispensing positioning mechanism according to claim 1, characterized in that: A limiting ring (10) is fixedly mounted on the bottom ends of the plurality of ball screws (9), and the diameter of the limiting ring (10) is greater than the diameter of the ball screw (9).

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