Detection device and detection method for identifying particle size of material
By optimizing the design of the photo booth and the layout of the light source, combined with dust collection devices and intelligent vision technology, the problem of insufficient accuracy in material particle size detection is solved, and efficient and economical particle size detection is achieved, which is suitable for complex industrial environments.
Patent Information
- Application Number
- CN202511261139.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-05
- Publication Date
- 2025-10-03
AI Technical Summary
Existing material particle size detection devices have insufficient detection accuracy in complex industrial environments, especially for small-particle materials, where clear outlines cannot be obtained, errors are large, and dust interference seriously affects the detection effect.
It uses a feeding chute with a vibration system, an optimized photo booth design and light source layout, combined with a dust collection device, uses surface light sources and strip light sources to form a vertical light field, and combines intelligent vision technology for image processing to reduce background interference and improve lighting uniformity.
It improves the accuracy and efficiency of material particle size detection, reduces background interference, realizes fast and accurate particle size detection, meets the real-time and stability requirements of industrial production, and reduces equipment costs.
Smart Images

Figure CN120741276A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of material particle size identification, and in particular to a detection device and a detection method for identifying material particle size. Background Art
[0002] In industrial production, accurate particle size measurement plays a crucial role in product quality control, process optimization, and adjustments to subsequent processing steps. For example, in industries such as ore processing and building materials processing, particle size directly impacts product performance and the efficiency of subsequent processes. However, existing detection devices mostly use a single light source layout, such as a front or rear light source. While this simple light source layout can provide a certain degree of illumination, it cannot meet the requirements of imaging complex materials. For example, for materials with irregular shapes or rough surfaces, a single light source may not evenly illuminate all parts of the material, resulting in some areas being too bright and others too dark, affecting overall image quality. Furthermore, in industrial production environments, material transportation and processing generate a large amount of dust. This dust not only poses numerous challenges to the practical application of particle size detection technology, but also particularly to the accuracy and efficiency of detection in complex industrial environments. First, image overexposure or insufficient contrast significantly affects the accurate visualization of material contours. Second, dust adheres to the material surface and can enter the detection device's lens and field of view, interfering with image acquisition. These issues directly lead to a decrease in the accuracy of material particle size detection, especially for small particle sizes, where clear outlines cannot be obtained and errors are large. This lack of detection accuracy seriously affects the optimization of the production process and the control of product quality. Summary of the Invention
[0003] The purpose of the present invention is to provide a novel particle size detection device that can simultaneously detect particle size and identify material shape. Through optimized camera room design, field of view structure layout, and light source layout, the device effectively improves detection accuracy and efficiency, reduces background interference, and reduces the amount of calculation. Moreover, the device can be modified and applied at low cost based on existing equipment, thereby providing an efficient, reliable, and economical solution for the accurate detection of material particle size in industrial production.
[0004] The present invention provides a detection device for identifying the particle size of a material, comprising a feeding trough with a vibration system, a feeding pipe, a photographing chamber, a light source installation location, and a dust collection device; the feeding trough is arranged above the feeding port of the feeding pipe, the photographing chamber and the light source installation location are on the same horizontal line and the horizontal line is perpendicular to the feeding pipe, the photographing chamber and the light source installation location are located on both sides of the feeding pipe, the lower half of the feeding pipe is connected to the dust collection device, and the dust collection device is used to prevent the dust in the feeding pipe from interfering with the material particle size.
[0005] Preferably, the feed trough with a vibration system includes a feed trough body, a motor located below the feed trough body, and a vibration absorber supporting the feed trough body. The feed trough is arranged at the upper entrance of the feed pipe through a support frame.
[0006] Preferably, the photo studio includes a line array camera arranged at an end.
[0007] Preferably, a surface light source is built into the light source installation location, and the surface light source is arranged at an end portion away from the light source installation location of the photographing room.
[0008] Preferably, the surface light source is the main light source, and a strip light source arranged around the feeding tube is further provided at the junction of the photo room and the light source installation place. The strip light sources are distributed in a U-shape, and the strip light sources and the surface light source form a vertical light field, thereby improving the illumination uniformity of the camera imaging surface.
[0009] Preferably, a dust removal duct is connected above the photo studio, and an axial flow fan and a filter are built into the dust removal duct. The filter filters the dust in the environment, and the axial flow fan generates a clean airflow along the duct to form a wind curtain on the surface of the camera lens to prevent dust generated by falling materials from contaminating the lens.
[0010] A detection method using the above-mentioned detection device for identifying the particle size of a material comprises the following steps: (1) The material is transported to the detection device through the feed pipe by the vibration of the feed trough body. When the material to be detected falls through the photographing area of the photographing room, the photographing room collects the image information of the material; (2) Transmitting the image information of the material to a computer, and the computer accurately obtains the contour information of the material moving at high speed based on intelligent vision technology; (3) Based on the acquired material contour information, the material images taken in the photo studio are blurred and binarized to obtain the minimum circumscribed rectangle of each material contour. The particle size of each material is then calculated and summarized, and the material particle size distribution is finally given in the form of a bar graph.
[0011] Preferably, the step (1) further comprises: performing dust-proof treatment on the camera lens in the photo studio; wherein the dust-proof treatment is achieved by arranging a dust removal duct above the photo studio, filtering the dust in the environment through the filter in the dust removal duct, and generating a clean air flow through the axial flow fan arranged in the dust removal duct to form an air curtain on the surface of the camera lens along the duct to isolate the dust generated by the falling materials.
[0012] Preferably, the step (2) includes the following steps: S2.1 converts the original image information collected by the line array camera into a grayscale image; S2.2 performs Gaussian blur processing on the grayscale image to remove high-frequency information in the grayscale image; S2.3 performs binarization on the grayscale image by setting a threshold, defining pixels greater than the threshold as foreground and pixels less than the threshold as background, thereby obtaining a binary image; S2.4 obtains the contour information of the material based on the binary image; S2.5 outputs the material's contour information, including pixel values in the length and width directions, thereby calculating the material's aspect ratio and particle size.
[0013] Preferably, the method for calculating the particle size of the material in step (3) is: measuring the number of pixels occupied by the particle size in the image and converting it into the particle size of the measured material through the corresponding proportional relationship between a single pixel and the particle size.
[0014] By adopting the above scheme, the present invention has the following advantages and beneficial effects: The present invention effectively improves the accuracy and efficiency of material particle size detection, and can realize fast and accurate particle size detection in complex industrial environments. It reduces the impact of background interference on the detection results, and improves the stability and reliability of the detection. It realizes the identification of material shape characteristics, provides more comprehensive material information for subsequent production processes, and meets the needs of different production scenarios. It reduces the computational load of image processing, improves the real-time performance of detection, and meets the requirements of real-time detection in industrial production. It reduces the equipment cost and usage threshold, and can be low-cost modified and applied on the basis of existing equipment, with good prospects for promotion and application. Through the optimized dust removal module design, the interference of dust on the detection is reduced, while ensuring that the dust removal process does not affect the conveying speed and position of the material, thereby improving the accuracy and real-time performance of the detection. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 is a three-dimensional schematic diagram of the particle size detection device of the present invention; Figure 2 A schematic diagram of the light source arrangement of the present invention; Figure 3 This is a particle size picture obtained by the photo studio of the present invention; Figure 4 This is a schematic diagram of the contour recognition of the obtained particle size image; Figure 5 Schematic diagram showing the comparison between the particle size measured by the present invention and the actual particle size; Figure 6 The figure is a statistical histogram of the particle size distribution measured in the present invention.
[0016] In the figure: 1-feeding trough body; 2-motor; 3-vibration absorber; 4-feeding pipe; 5-dust removal pipe; 6-photography room; 61-line array camera; 7-dust collection device; 8-light source installation place; 81-surface light source; 82-bar light source; 9-support frame. DETAILED DESCRIPTION
[0017] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the invention for which protection is sought, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.
[0018] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like to indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.
[0019] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature identified as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.
[0020] In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "connect," "fixed," etc. should be understood broadly. For example, they may refer to fixed connection, detachable connection, or integral connection; mechanical connection or electrical connection; direct connection or indirect connection through an intermediate medium; or internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.
[0021] The following describes in detail the preferred embodiments of the present invention in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more precise definition of the protection scope of the present invention.
[0022] Reference Manual Figure 1 and attached Figure 2 , a detection device for identifying the particle size of a material, comprising a feeding trough with a vibration system, a feeding pipe 4, a photographing room 6, a light source installation location 8 and a dust collection device 7; the feeding trough is arranged above the feeding port of the feeding pipe, the feeding trough with a vibration system comprises a feeding trough body 1, a motor 2 located below the feeding trough body and a vibration absorber 3 supporting the feeding trough body, the feeding trough is arranged at the upper entrance of the feeding pipe 4 through a support frame 9, the photographing room 6 and the light source installation location 8 are on the same horizontal line and the horizontal line is perpendicular to the feeding pipe 4, the photographing room 6 and the light source installation location 8 are located on both sides of the feeding pipe 4, the lower half of the feeding pipe 4 is connected to the dust collection device 7, and the dust collection device 7 prevents the dust in the feeding pipe 4 from interfering with the material particle size; The photo booth includes a line array camera 61 mounted at its end. A surface light source 81 is built into the light source mounting area, located at the end of the photo booth 6 away from the light source mounting area. This surface light source 81 serves as the primary light source. A strip light source 82, arranged around the feed tube, is also located at the junction of the photo booth 6 and the light source mounting area 8. These strip light sources 82 are arranged in a U-shaped pattern and form a perpendicular light field with the surface light source 81, improving the uniformity of illumination across the camera's imaging surface. The dust removal duct 5 is connected above the photo booth 6. This duct contains an axial fan and a filter (not shown). The filter filters ambient dust, while the axial fan generates clean airflow along the duct, forming a wind curtain on the camera lens surface to prevent dust from falling materials from contaminating the lens.
[0023] Reference Manual Figure 3 , Attachment Figure 4 , Attachment Figure 5 and attached Figure 6 The material vibrates through the feed trough body 1 and falls through the feed pipe 4. The material then passes through the photographic chamber 6 to take a picture of the falling material. Figure 3 and attached Figure 4 After the specific image of the material is captured by the line array camera, the outline of the material is identified through image processing and the aspect ratio of its minimum circumscribed rectangle is calculated, thereby determining the number of pixels corresponding to the particle size of the material. Figure 5 and attached Figure 6, Pixel distance calibration module: (Use materials with determined particle size to calibrate the number of pixels in the width and height directions of the image, so as to obtain the proportional relationship between pixels and actual particle size) and then perform statistics on the particle size of each material to obtain the particle size distribution information of all materials.
[0024] A detection method using the above-mentioned detection device for identifying the particle size of a material comprises the following steps: (1) The material is transported to the detection device through the feed pipe by the vibration of the feed trough body. When the detected material falls through the photo area of the photo room, the material information is collected by the photo room, and the alkaline dust in the feed pipe is collected at the same time, and the camera lens in the photo room is dust-proofed. The dust-proofing treatment is achieved by setting a dust removal duct above the photo room, filtering the dust in the environment through the filter net in the dust removal duct, and generating a clean air flow through the axial flow fan set in the dust removal duct to form a wind curtain on the surface of the camera lens along the duct to isolate the dust generated by the falling material to achieve the dust-proofing treatment of the camera lens.
[0025] (2) Transmitting the material information to a computer, and the computer accurately acquiring the contour of the material moving at high speed based on intelligent vision technology; wherein the intelligent vision technology includes the following steps: S2.1 converts the original image captured by the line scan camera into a grayscale image (each pixel in the original image is represented by only a single channel "0-255" without brightness information); S2.2 performs Gaussian blur (or Gaussian smoothing) on the grayscale image to remove high-frequency information in the grayscale image and improve the robustness of subsequent algorithms in the preprocessing stage; S2.3 Image binarization converts a grayscale image into a single-channel image of "pure black (0) + pure white (255)". By setting a threshold, pixels greater than the threshold are defined as foreground, and pixels less than the threshold are defined as background (Note: the foreground is required for subsequent image processing); S2.4 obtain material profile information; S2.5 outputs the material contour information, including the pixel values in the length and width directions, so as to calculate the aspect ratio and particle size.
[0026] (3) Based on the acquired material contour information, the material images taken in the photo studio are blurred and binarized to obtain the minimum circumscribed rectangle of each material contour. The particle size of each material is then calculated and summarized. Finally, the material particle size distribution is given in the form of a bar graph. The particle size of the material is calculated by measuring the number of pixels occupied by the particle size in the image and converting it into the particle size of the measured material through the corresponding proportional relationship between a single pixel and the particle size.
[0027] The above embodiments are intended only to illustrate the technical concepts and features of the present invention. Their purpose is to enable those skilled in the art to understand the contents of the present invention and implement them accordingly. They are not intended to limit the scope of protection of the present invention. Any equivalent changes or modifications made in accordance with the spirit of the present invention are intended to be covered by the scope of protection of the present invention.
Claims
1. A detection device for identifying the particle size of a material, characterized in that: It includes a feeding trough with a vibration system, a feeding pipe, a photographing room, a light source installation and a dust collection device; the feeding trough is arranged above the feeding port of the feeding pipe, the photographing room and the light source installation are on the same horizontal line and the horizontal line is perpendicular to the feeding pipe, the photographing room and the light source installation are located on both sides of the feeding pipe, and the lower half of the feeding pipe is connected to the dust collection device, through which the dust in the feeding pipe is prevented from interfering with the material particle size.
2. The detection device for identifying the particle size of a material according to claim 1, characterized in that: The feed trough with a vibration system includes a feed trough body, a motor located below the feed trough body, and a vibration absorber supporting the feed trough body. The feed trough is arranged at the upper entrance of the feed pipe through a support frame.
3. The detection device for identifying the particle size of a material according to claim 1, characterized in that: The photographing room includes a line array camera arranged at an end.
4. The detection device for identifying the particle size of a material according to claim 1, characterized in that: The light source installation location has a built-in surface light source, and the surface light source is arranged at an end portion away from the light source installation location of the photographing room.
5. The detection device for identifying the particle size of a material according to claim 4, characterized in that: The surface light source is the main light source, and a strip light source arranged around the feeding tube is further provided at the junction of the photo room and the light source installation location. The strip light sources are distributed in a U-shape, and the strip light sources and the surface light source form a vertical light field, thereby improving the illumination uniformity of the camera imaging surface.
6. The detection device for identifying the particle size of a material according to claim 3, characterized in that: A dust removal duct is connected above the photo studio. The dust removal duct is equipped with an axial flow fan and a filter. The filter filters the dust in the environment. The axial flow fan generates a clean airflow that forms a wind curtain along the duct on the surface of the camera lens to prevent dust generated by falling materials from contaminating the lens.
7. A detection method using the detection device for identifying material particle size according to any one of claims 1 to 6, characterized in that: The steps include: (1) The material is transported to the detection device through the feed pipe by the vibration of the feed trough body. When the material to be detected falls through the photographing area of the photographing room, the photographing room collects the image information of the material; (2) Transmitting the image information of the material to a computer, and the computer accurately obtains the contour information of the material moving at high speed based on intelligent vision technology; (3) Based on the acquired material contour information, the material images taken in the photo studio are blurred and binarized to obtain the minimum circumscribed rectangle of each material contour. The particle size of each material is then calculated and summarized, and the material particle size distribution is finally given in the form of a bar graph.
8. The detection method according to claim 7, characterized in that The step (1) further includes: performing dust-proof treatment on the camera lens in the photo studio; wherein the dust-proof treatment is achieved by setting a dust removal duct above the photo studio, filtering the dust in the environment through the filter in the dust removal duct, and generating a clean air flow through the axial flow fan set in the dust removal duct to form an air curtain on the surface of the camera lens along the duct to isolate the dust generated by the falling materials.
9. The detection method according to claim 7, characterized in that The step (2) includes the following steps: S2.1 converts the original image information collected by the line array camera into a grayscale image; S2.2 performs Gaussian blur processing on the grayscale image to remove high-frequency information in the grayscale image; S2.3 performs binarization on the grayscale image by setting a threshold, defining pixels greater than the threshold as foreground and pixels less than the threshold as background, thereby obtaining a binary image; S2.4 obtains the contour information of the material based on the binary image; S2.5 outputs the material's contour information, including pixel values in the length and width directions, thereby calculating the material's aspect ratio and particle size.
10. The detection method according to claim 7, characterized in that: The method for calculating the particle size of the material in step (3) is: measuring the number of pixels occupied by the particle size in the image and converting it into the particle size of the measured material through the corresponding proportional relationship between a single pixel and the particle size.
Citation Information
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