Corn kernel breakage rate on-line monitoring device

Abstract

The utility model discloses a corn kernel breakage rate on-line monitoring device which is characterized in that a guide rail mechanism is arranged at the top of a detection box, a mechanical arm is connected to the guide rail mechanism, an infrared distance meter, a CCD (Charge Coupled Device) color industrial camera and an LED (Light Emitting Diode) lamp are arranged on the mechanical arm, the industrial camera is in data connection with an industrial personal computer, and an image acquisition module and an image processing module are arranged in the industrial personal computer; the distance between the industrial camera and the surface corn kernels is fed back through the infrared distance meter, and the position and angle are adjusted through the mechanical arm and the guide rail, so that the industrial camera obtains an optimal acquisition area for continuous sampling; the image processing module is used for processing the collected kernel samples, obtaining corresponding feature data of kernel sample images, analyzing the obtained feature data, classifying and identifying impurities and broken kernels in the corn kernels, and obtaining the final impurity rate and the final breakage rate. The method is simple in required environment, high in recognition degree and high in recognition speed.

Description

Technical Field

[0001] The utility model relates to the field of corn kernel monitoring devices, in particular to an online monitoring device for corn kernel breakage rate. Background Art

[0002] Due to the rapid development of computer technology and image processing technology, machine vision technology has achieved unprecedented development in the field of smart agriculture. Image processing and target recognition are the core technologies of machine vision. Excellent image processing and target recognition algorithms can accurately and efficiently identify targets, which is conducive to improving the reliability and real-time performance of agricultural machinery and equipment.

[0003] Corn kernel breakage rate detection is one of the important evaluation indicators of corn kernel direct-harvesting combine harvesters, and the level of breakage rate also has a great impact on the corn yield in the harvesting area. At present, the image acquisition system of the corn kernel breakage rate detection device is fixed in position and the detection accuracy is not high. The invention patent with Chinese patent publication number CN112001283B discloses an online detection device for corn kernel breakage rate, which proposes to arrange the detection objects in an orderly manner through a feeding system, a single-layer device and a power system, which improves the detection accuracy to a certain extent. However, its detection range is small, the detection efficiency is not high, and the coordination relationship is relatively complex, which is not suitable for large-scale corn stack detection. Utility Model Content

[0004] Purpose of the utility model: The purpose of the utility model is to provide an online monitoring device for corn kernel breakage rate with high detection accuracy, wide range and high efficiency.

[0005] Technical solution: The utility model discloses an online monitoring device for corn kernel breakage rate, comprising a detection box with a feed port, an image acquisition system arranged in the detection box, and a power system for adjusting the position of the image acquisition system; the power system comprises a guide rail, a mechanical arm, a screw mechanism and a drive motor, the guide rail is connected to the detection box, the mechanical arm is slidably connected to the guide rail, and the screw mechanism is connected to the mechanical arm; the image acquisition system comprises an industrial camera, an infrared rangefinder and a light source, the industrial camera is connected to the screw mechanism, the light source is arranged below the industrial camera, and the infrared rangefinder is arranged parallel to the industrial camera.

[0006] Furthermore, the detection box includes a top cover, a box body, and a base, the feed port is opened on the top cover, the guide rail is fixedly connected to the bottom of the top cover, and the mechanical arm is slidably connected to the guide rail via a pulley.

[0007] Furthermore, the image acquisition system also includes a camera bracket, which is connected to a screw mechanism, the industrial camera is connected to the camera bracket, the light source is arranged on the camera bracket and is located directly below the industrial camera, and the infrared rangefinder is connected to the camera bracket and is parallel to the industrial camera.

[0008] Furthermore, the drive motor is arranged at the rotating shaft of the mechanical arm, and the drive motor is electrically connected to the mechanical arm, the guide rail, and the screw mechanism.

[0009] Furthermore, the infrared rangefinder is communicatively connected with the drive motor.

[0010] Furthermore, it also includes an industrial computer and a display device, and the industrial computer is connected to the image acquisition system.

[0011] Furthermore, the industrial camera is a CCD color industrial camera, and the light source is a ring-shaped LED light source.

[0012] Detection process: The infrared rangefinder collects the distance and angle information of the surface corn from the industrial camera, and feeds the data back to the industrial computer. The industrial computer feeds back the data to the driving device of the mechanical arm and the screw mechanism, driving the mechanical arm and the screw mechanism to adjust the angle and height of the industrial camera according to the distance and angle information. It is best to keep the camera lens about ten centimeters away from the corn kernel group, and the lens is perpendicular to the surface of the corn group. After the adjustment is completed, the industrial camera moves at a constant speed along the guide rail and takes pictures and uploads the captured images to the industrial computer, and at the same time gives negative feedback to the infrared rangefinder for the next distance measurement.

[0013] Beneficial effects: Compared with the prior art, the utility model has the following advantages: (1) The utility model controls the distance between the camera and the surface corn kernels through real-time adjustment of the industrial camera angle and distance to improve image processing efficiency. At the same time, the uniform motion along the guide rail improves the detection efficiency and range, making the final monitoring data more accurate; (2) The detection box of the utility model provides a closed detection environment for the image acquisition process, and adopts a circular LED light source instead of a traditional strip LED light source, so that the industrial camera can take clearer pictures and improve the subsequent image processing efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a cross-sectional view of the overall structure of the utility model;

[0015] Figure 2 It is a structural diagram of the power system of the utility model;

[0016] Figure 3 This is a diagram of the hinged structure of the mechanical arm of the utility model;

[0017] Figure 4 It is a structural schematic diagram of the image acquisition system of the utility model.

[0018] Figure numerals: 1. base, 2. box body, 3. top cover, 4. guide rail, 5. robotic arm, 6. driving motor, 7. industrial camera, 8. camera bracket, 9. screw mechanism, 10. infrared device, 11. LED ring light source. DETAILED DESCRIPTION

[0019] The technical solution of the utility model is further described below in conjunction with the accompanying drawings.

[0020] like Figure 1 As shown, the utility model provides an online monitoring device for corn kernel breakage rate, including a detection box, an image acquisition system and a power system. The detection box includes a top cover 3, a box body 2, and a base 1. The top opening of the top cover 3 is used for feeding, and one side of the upper part is used to fix the power system and the image acquisition system. The box body 2 is fixed to the top cover 3 and the base 1 by bolts;

[0021] like Figure 2-3 As shown, the power system includes a drive motor 6, a screw mechanism 9, a mechanical arm 5, and a guide rail 4. The guide rail is connected to the top cover by bolts, and is connected to the mechanical arm through a pulley. The mechanical arm is connected to the screw mechanism by bolts. The mechanical arm 5, the guide rail 4 and the screw mechanism 9 are powered by the drive motor 6. The drive motor 6 is installed at the rotating shaft of the mechanical arm 5, and can also be installed on the outside of the detection box body.

[0022] like Figure 4 As shown, the image acquisition system includes a CCD color industrial camera 7, a circular LED light source 11, a camera bracket 8, and an infrared rangefinder 10. The camera bracket 8 is fixed to the screw mechanism 9 by bolts, and the CCD color industrial camera 7 is connected to the camera bracket 8 by bolts. The circular LED light source 11 is arranged on the camera bracket 8 and is located directly below the CCD color industrial camera 7. The infrared rangefinder 10 is connected to the camera bracket 8 and is parallel to the CCD color industrial camera 7. The image acquisition system is connected to the industrial computer.

[0023] The working process of the utility model is as follows:

[0024] First, corn kernels enter the detection box from the feed port of the top cover 3, and the infrared rangefinder 10 starts working. The distance from the monitoring lens to the surface corn kernels is sent to the industrial computer. The infrared rangefinder 10 calculates the error between the current distance and the optimal distance (the camera lens is about ten centimeters away from the corn kernel group, and the lens is perpendicular to the surface of the corn group), and sends instructions to the power system. Then, the robot arm 5 receives the instruction and adjusts the angle by driving the motor 6. The screw mechanism 9 receives the instruction and adjusts the height. After the adjustment, negative feedback is given to the industrial computer. The industrial camera 7 starts shooting, and after shooting, negative feedback is given to the guide rail system. The guide rail system starts to move at a uniform speed, and the infrared rangefinder 10 starts to continue measuring the distance. The industrial camera 7 transmits the photos taken to the industrial computer for analysis.

Claims

1. An online monitoring device for corn kernel breakage rate, comprising a detection box with a feed inlet and an image acquisition system arranged in the detection box, characterized in that: The invention also comprises a power system for adjusting the position of the image acquisition system; the power system comprises a guide rail (4), a mechanical arm (5), a screw mechanism (9) and a drive motor (6); the guide rail (4) is connected to the detection box; the mechanical arm (5) is slidably connected to the guide rail (4); and the screw mechanism (9) is connected to the mechanical arm (5); the image acquisition system comprises an industrial camera (7), an infrared rangefinder (10) and a light source (11); the industrial camera (7) is connected to the screw mechanism (9); the light source (11) is arranged below the industrial camera (7); and the infrared rangefinder (10) is arranged parallel to the industrial camera (7).

2. The device for online monitoring of corn kernel breakage rate according to claim 1, characterized in that: The detection box comprises a top cover (3), a box body (2), and a base (1); the feed port is opened on the top cover (3); the guide rail (4) is fixedly connected to the bottom of the top cover; and the mechanical arm (5) is slidably connected to the guide rail (4) via a pulley.

3. The on-line monitoring device for corn kernel breakage rate according to claim 1, characterized in that: The image acquisition system further comprises a camera bracket (8), wherein the camera bracket (8) is connected to a screw mechanism (9), the industrial camera (7) is connected to the camera bracket (8), the light source (11) is arranged on the camera bracket (8) and is located directly below the industrial camera (7), and the infrared rangefinder (10) is connected to the camera bracket (8) and is parallel to the industrial camera (7).

4. The on-line monitoring device for corn kernel breakage rate according to claim 1, characterized in that: The drive motor (6) is arranged at the rotating shaft of the mechanical arm (5), and the drive motor (6) is electrically connected to the mechanical arm (5), the guide rail (4), and the screw mechanism (9).

5. The device for online monitoring of corn kernel breakage rate according to claim 4, characterized in that: The infrared rangefinder (10) is communicatively connected to the drive motor (6).

6. The device for online monitoring of corn kernel breakage rate according to claim 5, characterized in that: It also includes an industrial computer and a display device, and the industrial computer is connected to the image acquisition system.

7. The device for online monitoring of corn kernel breakage rate according to any one of claims 1 to 6, characterized in that: The industrial camera (7) is a CCD color industrial camera, and the light source (11) is a ring-shaped LED light source.

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