Rotary filter screen cleaning equipment based on machine vision

Abstract

The utility model relates to rotary filter screen cleaning equipment based on machine vision. The rotary filter screen cleaning equipment comprises a control unit, and a mechanical arm, a mechanical claw and a vision system which are electrically connected with the control unit respectively, the mechanical claw is connected to the movable end of the mechanical arm and is arranged above the rotary filter screen; the visual system comprises a high-definition camera, an image acquisition unit and an image processing unit. The marine organism detection device has the beneficial effects that a full image of the rotary filter screen is shot by the high-definition camera, the full image is converted into a digital signal from an analog signal by the image acquisition unit, and the position, the shape and the size information of marine organisms are identified after the image is processed by the image processing unit; according to the scheme, the problem of blockage of the rotary filter screen is solved without stopping equipment, the labor cost is saved, and the running reliability of a unit is improved.

Description

Technical Field

[0001] This utility model relates to the field of power plant equipment cleaning technology, specifically to a rotating filter cleaning device based on machine vision. Background Technology

[0002] Rotary filters used before circulating water pumps in power plants often face severe clogging problems when filtering marine organisms from seawater. During spring and summer, when marine organisms proliferate, filter clogging becomes more frequent and severe. Traditional solutions rely heavily on manual cleaning, which is not only costly but also inefficient, failing to address clogging promptly and effectively, potentially leading to equipment downtime, severely impacting unit operation, and reducing reliability. Therefore, a highly efficient and automated marine organism removal system is urgently needed. Utility Model Content

[0003] The technical problem to be solved by this utility model is to provide a rotating filter cleaning device based on machine vision, so as to overcome the shortcomings of the prior art.

[0004] The technical solution of this utility model to solve the above-mentioned technical problems is as follows: A rotating filter cleaning device based on machine vision includes a control unit, and a robotic arm, a robotic gripper, and a vision system that are electrically connected to the control unit; the robotic gripper is connected to the movable end of the robotic arm and is positioned above the rotating filter; the vision system includes a high-definition camera, an image acquisition unit, and an image processing unit.

[0005] The beneficial effects of this utility model are as follows: by capturing a full-view image of the rotating filter screen with a high-definition camera, the image acquisition unit converts the full-view image from an analog signal to a digital signal. After processing by the image processing unit, the location, shape, and size information of the marine organisms are identified. Then, the robotic arm drives the robotic claw to grab the marine organisms to the designated location. This solution solves the problem of rotating filter screen clogging without stopping the equipment, saves labor costs, and improves the reliability of the unit operation.

[0006] Based on the above technical solution, the present invention can be further improved as follows.

[0007] Furthermore, the robotic arm is equipped with a collision detection unit, which is electrically connected to the control unit.

[0008] Furthermore, the robotic gripper is equipped with a lighting unit.

[0009] Furthermore, a high-pressure nozzle is installed below the robotic arm. The high-pressure nozzle is connected to an external water source via a water pump, and the water pump is electrically connected to the control unit.

[0010] Furthermore, the mechanical gripper can be two-jawed, three-jawed, or four-jawed. Attached Figure Description

[0011] Figure 1 This is a schematic diagram of the structure of the present invention. Figure 1 ;

[0012] Figure 2 This is a schematic diagram of the structure of the present invention. Figure 2 ;

[0013] Figure 3 This is a circuit structure block diagram of the present invention.

[0014] The attached diagram lists the components represented by each number as follows:

[0015] 1. Control unit; 2. Robotic arm; 3. Robotic gripper; 4. Vision system; 41. High-definition camera; 42. Image acquisition unit; 43. Image processing unit; 5. Rotating filter; 6. Collision detection unit; 7. Lighting unit; 8. High-pressure nozzle; 9. Water pump. Detailed Implementation

[0016] The principles and features of this utility model are described below with reference to the accompanying drawings. The examples given are only for explaining this utility model and are not intended to limit the scope of this utility model.

[0017] like Figures 1-3 As shown in Embodiment 1, a rotating filter cleaning device based on machine vision includes a control unit 1, and a robotic arm 2, a robotic gripper 3, and a vision system 4, all electrically connected to the control unit 1. The robotic gripper 3 is connected to the movable end of the robotic arm 2 and is positioned above the rotating filter 5. The vision system 4 includes a high-definition camera 41, an image acquisition unit 42, and an image processing unit 43.

[0018] The high-definition camera 41 captures a full-view image of the rotating filter 5. The image acquisition unit 42 converts the full-view image from an analog signal to a digital signal. After processing by the image processing unit 43, the location, shape, and size information of the marine organisms are identified. Then, the robotic arm 2 drives the robotic claw 3 to grab the marine organisms to the designated location. This solution solves the problem of clogging of the rotating filter 5 without stopping the equipment, saves labor costs, and improves the reliability of the unit operation.

[0019] In specific implementation, the image processing unit 43 in the vision system 4 uses, but is not limited to, existing mature SVM, KNN, CNN, and deep learning algorithms to classify and identify marine life images; in addition, the high-definition camera 41 can be set at the bottom of the robotic arm 2 or fixed near the rotating filter 5 by a bracket.

[0020] Example 2 is a further improvement based on Example 1, and its details are as follows:

[0021] The robotic arm 2 is equipped with a collision detection unit 6, which is electrically connected to the control unit 1.

[0022] The collision detection unit 6 can effectively avoid obstacles, ensuring the normal operation of the robotic arm 2. In specific implementation, the collision detection unit 6 adopts infrared detection sensors, laser detection sensors and limit switches.

[0023] Example 3 is a further improvement based on Example 1, and its details are as follows:

[0024] The robotic gripper 3 is equipped with an illumination unit 7. The illumination unit 7 provides sufficient light for the high-definition camera 41 of the vision system 4, ensuring clear shooting even in low-light conditions.

[0025] Example 4 is a further improvement based on Example 1, and its details are as follows:

[0026] A high-pressure nozzle 8 is installed below the robotic arm 2. The high-pressure nozzle 8 is connected to an external water source via a water pump 9, which is electrically connected to the control unit 1. The water pump 9 can perform preliminary rinsing on the rotating filter screen 5, which can improve the recognition accuracy of the vision system 4 and loosen the marine organisms blocking the holes of the rotating filter screen 5, making them easier to grasp. In practice, the high-pressure nozzle 8 is set at an angle.

[0027] Example 5 is a further improvement based on Example 1, and its details are as follows:

[0028] The mechanical gripper 3 can have two, three, or four claws. In practice, a three-claw gripper is preferred for more stable grasping.

[0029] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A machine vision based rotating screen cleaning apparatus, characterized by, The control unit (1) is connected with a mechanical arm (2), a mechanical claw (3) and a vision system (4) respectively; the mechanical claw (3) is connected with the movable end of the mechanical arm (2) and is arranged above a rotary filter screen (5); the vision system (4) comprises a high-definition camera (41), an image acquisition unit (42) and an image processing unit (43).

2. A machine vision-based rotating screen cleaning apparatus according to claim 1, wherein, A collision detection unit (6) is arranged on the mechanical arm (2) and is electrically connected with the control unit (1).

3. The machine vision-based rotating screen cleaning apparatus of claim 1, wherein, An illumination unit (7) is arranged on the mechanical claw (3).

4. The machine vision-based rotating screen cleaning apparatus of claim 1, wherein, A high-pressure nozzle (8) is arranged below the mechanical arm (2) and is connected with a water source through a water pump (9); the water pump (9) is electrically connected with the control unit (1).

5. The machine vision-based rotating screen cleaning apparatus of claim 1, wherein, The mechanical claw (3) is in the form of two claws, three claws or four claws.

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