Earthworm activity identification automatic detection system

Abstract

The earthworm activity identification automatic detection system comprises an image acquisition module, a detection camera obscura and an upper computer, an acrylic experiment plate is mounted in the detection camera obscura, a moving space is formed in the acrylic experiment plate, and a soil loading opening is formed in the top of the acrylic experiment plate; the image acquisition module is connected with the upper computer and comprises a light source, an industrial camera and a light source intelligent control unit, and the light source and the industrial camera are both located in the detection camera obscura; in conclusion, according to the utility model, earthworm images are acquired through the image acquisition module, and then earthworm parameter structures are calculated by using an image recognition algorithm of the upper computer, so that the accuracy of parameter calculation is greatly improved, the manufacturing cost is far lower than that of related equipment in the market, and meanwhile, the device is designed to be automatic; and the convenience degree of an experiment operator is greatly improved.

Description

Technical Field

[0001] The utility model belongs to the technical field of soil detection, and in particular relates to an automatic detection system for identifying earthworm activities. Background Art

[0002] With the development and smelting of minerals, the use of pesticides and the discharge of industrial wastewater have greatly increased arsenic pollutants in the environment, causing pollution of varying degrees; using the effects of pollutants on some common physiological and biochemical indicators in earthworms and the burrowing behavior of earthworms, the relationship between changes in earthworm burrowing behavior and soil physical and chemical properties was studied, providing a certain theoretical basis and data support for the monitoring, evaluation and control of soil pollutants.

[0003] At present, the method of visual earthworm observation mainly uses near-infrared observation, that is, using an infrared camera to observe from six sides. This method has high requirements for the environment and the equipment is very expensive. Currently, a Sony IMX990 / 991 near-infrared industrial camera costs up to 5,000 yuan on e-commerce platforms. Therefore, the high cost also hinders the popularization of near-infrared observation methods. Utility Model Content

[0004] The utility model aims to provide an earthworm activity identification and automatic detection system to solve the technical problems that the existing method of observing earthworms by near-infrared is high in cost and not conducive to popularization.

[0005] In order to solve the above technical problems, the utility model adopts the following technical solutions:

[0006] An earthworm activity recognition and automatic detection system comprises an image acquisition module, a detection dark box and a host computer;

[0007] An acrylic test board is installed in the detection dark box, the interior of the acrylic test board has an activity space, and a soil loading port is set on the top of the acrylic test board;

[0008] The image acquisition module is connected to the host computer. The image acquisition module includes a light source, an industrial camera and a light source intelligent control unit. The light source and the industrial camera are both located in the detection darkbox, and the light source and the industrial camera are respectively located on both sides of the acrylic experimental board. The light source intelligent control unit and the industrial camera are both connected to the host computer. The light source intelligent control unit is used to control the light source.

[0009] Furthermore, the light source is an LED light strip.

[0010] Furthermore, the industrial camera is a CMOS camera.

[0011] Furthermore, the light source intelligent control unit includes a relay, a transformer and a single-chip microcomputer. The LED light strip, the transformer and the relay are respectively connected to the single-chip microcomputer through lines, and the single-chip microcomputer is connected to the host computer.

[0012] Furthermore, the single chip microcomputer is a STM32F103RCT6 single chip microcomputer.

[0013] Compared with the prior art, the beneficial effects of the utility model are as follows: the utility model collects earthworm images through an image acquisition module, and then uses the image recognition algorithm of a host computer to calculate the earthworm parameter structure. The accuracy of the calculated parameters is greatly improved, and the cost is much lower than that of related equipment on the market. At the same time, the device is designed to be automated, which will greatly improve the convenience of the experimental operator. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0015] Figure 1 This is a structural schematic diagram of an automatic detection system for identifying earthworm activities according to the utility model;

[0016] Figure 2 This is the structural block diagram of the host computer;

[0017] Figure 3 This is the workflow diagram of the host computer. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.

[0019] The present invention is further described in detail below in conjunction with the embodiments.

[0020] like Figure 1 As shown, a specific embodiment of an earthworm activity identification and automatic detection system provided by the utility model is as follows:

[0021] An earthworm activity recognition and automatic detection system comprises an image acquisition module, a detection dark box 1 and a host computer 2;

[0022] An acrylic test board 3 is installed in the detection dark box 1. The acrylic test board 3 has an activity space inside. A soil loading port is provided on the top of the acrylic test board 3. Earthworms and soil can be loaded into the acrylic test board 3 through the soil loading port.

[0023] The image acquisition module is connected to the host computer 2, and the image acquisition module includes a light source 4, an industrial camera 5 and a light source intelligent control unit. The light source 4 and the industrial camera 5 are both located in the detection dark box 1, and the light source 4 and the industrial camera 5 are respectively located on both sides of the acrylic experimental board 3. The light source intelligent control unit and the industrial camera 5 are both connected to the host computer 2, and the light source intelligent control unit is used to control the light source 4;

[0024] To ensure that clear images can be captured during the movement of the earthworm, the light source 4 is preferably an LED light strip, which can provide uniform lighting range, sufficient and stable light; secondly, the industrial camera 5 is preferably a CMOS camera. The CMOS camera integrates the image signal processor, control interface, etc. on the same silicon chip, and can integrate image acquisition, processing and display, which is more stable than CCD cameras.

[0025] The light source intelligent control unit comprises a relay 6 , a transformer and a single chip microcomputer 7 . The LED light strip, the transformer and the relay 6 are respectively connected to the single chip microcomputer 7 through lines, and the single chip microcomputer 7 is connected to the host computer 2 .

[0026] The single-chip microcomputer 7 is preferably a STM32F103RCT6 single-chip microcomputer 7, which has rich software programming functions and can implement various control algorithms and logic controls through software programming. It does not require external expansion memory, and the overall system structure is simpler.

[0027] The working process of an automatic detection system for identifying earthworm activities in this embodiment is as follows: first, the experimenter sets the shooting time on the host computer 2, controls the CMOS camera to take pictures and the light source intelligent control unit to control the LED light strip according to the shooting time, and the taken photos are automatically stored in the specified directory of the computer. Then, according to the set actual pixel ratio, the identification image is input, and then the host computer 2 automatically starts image preprocessing and image recognition of the earthworm activity image. Finally, the earthworm activity parameters are calculated, and the parameters such as distance, time, and speed are displayed on the interactive interface of the host computer 2.

[0028] like Figure 2 As shown, the host computer 2 includes a control module, an image recognition module and a display module; the control module includes a camera switch, a serial port switch and a timer switch, the camera switch is used to control the CMOS camera, the serial port switch is used to connect to the single-chip microcomputer 7, and the timer switch is used to time the serial port switch and the camera switch;

[0029] The image recognition module includes an image preprocessing module, an image target detection module and a parameter calculation module; the image preprocessing module is used to perform image preprocessing on the image collected by the image acquisition module, and during preprocessing, the image is sharpened and denoised in turn; the image target detection module is used to perform earthworm image recognition based on the HSV space on the image after image preprocessing; the parameter calculation module is used to extract the contour after earthworm image recognition and calculate the earthworm movement parameters. The display module can display the image recognition structure and earthworm parameter statistics; Figure 3 This is the workflow diagram of host computer 2.

[0030] It should be noted that, in this article, terms such as "comprises", "includes" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or apparatus that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or apparatus.

[0031] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An automatic detection system for identifying earthworm activities, characterized in that: It includes image acquisition module, detection dark box and host computer; An acrylic test board is installed in the detection dark box, the interior of the acrylic test board has an activity space, and a soil loading port is set on the top of the acrylic test board; The image acquisition module is connected to the host computer. The image acquisition module includes a light source, an industrial camera and a light source intelligent control unit. The light source and the industrial camera are both located in the detection darkbox, and the light source and the industrial camera are respectively located on both sides of the acrylic experimental board. The light source intelligent control unit and the industrial camera are both connected to the host computer. The light source intelligent control unit is used to control the light source.

2. The automatic detection system for identifying earthworm activities according to claim 1, characterized in that: The light source is an LED light strip.

3. The earthworm activity identification and automatic detection system according to claim 1 is characterized in that: The industrial camera is a CMOS camera.

4. The automatic detection system for identifying earthworm activities according to claim 2, characterized in that: The light source intelligent control unit comprises a relay, a transformer and a single-chip microcomputer. The LED light strip, the transformer and the relay are respectively connected to the single-chip microcomputer through lines, and the single-chip microcomputer is connected to the host computer.

5. The earthworm activity identification and automatic detection system according to claim 4 is characterized in that: The single chip microcomputer is a STM32F103RCT6 single chip microcomputer.

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