A portable precision laser detector

Abstract

The present invention relates to the technical field of image processing, and discloses a portable precision laser detector. The detection of the measurement target is carried out through a main body, a laser measurement probe and a liquid crystal touch screen control system. The detection is convenient and fast. The liquid crystal touch screen control system includes a liquid crystal touch screen and an image processing module. The image processing module includes an image acquisition unit, an image recognition unit, a data output unit and a control unit; the image acquisition unit is connected to the laser measurement probe to capture the image of the measurement target; the image recognition unit processes and extracts the features of the measurement target image to automatically identify the measurement target, thereby improving the processing quality of the crusher and reducing energy consumption; the data output unit displays the processed measurement target image and the recognition result of the measurement target on the liquid crystal touch screen in real time to help the user better understand the measurement process and discover potential abnormalities of the crushing roller; the control unit controls the measurement parameters through the liquid crystal touch screen to meet various measurement requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of image processing, and particularly to a portable precision laser detector. Background Art

[0002] During the processing of crushing rolls in the grain and oil food industry, the processing accuracy is inaccurate, and wear occurs during use but cannot be measured. As a result, the service life of the crushing roll is shortened, the quality of the processed powder is reduced, and the energy consumption of the equipment increases, etc. Therefore, it is necessary to detect the crushing roll. This can guide the extension of the service life of the crushing roll, ensure the processing quality of the crusher, and reduce the energy consumption of the crusher, etc.

[0003] Usually, needle crawling, photographing and comparing sampling, and computer mainframe trailing wire photographing detection are used. Among them, when the tooth shape of needle crawling is too deep or too thin, the accuracy is inaccurate and the standby time is short; the accuracy of photographing and comparing sampling is low, it cannot measure a fine-tooth crushing roll, the measurement data is greatly affected by human operation, and the standby time is short; the computer mainframe trailing wire photographing detection is only applicable to laboratory or large processing site detection and cannot meet the detection during the use of the crusher. However, most of them do not solve the problem of how to connect a laser measurement probe, capture the image of the measurement target, process and extract the features of the measurement target image, automatically identify the measurement target and display it on the liquid crystal touch screen, and at the same time control the measurement parameters through the liquid crystal touch screen.

[0004] As disclosed in the Chinese patent with the authorization announcement number CN105241393B, a high-precision portable optical surface three-dimensional topography on-line detector mainly consists of a light source, a single-tube interference microscope, an image acquisition system, a control source, a drive source, a phase shifter and an industrial control computer. Its advantages are small volume, good anti-vibration performance, and can meet the high-precision on-line rapid batch detection of ultra-precision machining components in the fields of optics, microelectronics, machinery, etc., and can be applied to the production and scientific research fields of chips, LEDs, micromachines, micro-optics, optical gyroscopes for aerospace, high-power lasers, astronomical telescopes, etc.

[0005] As disclosed in a Chinese patent with the authorization announcement number CN112097683B, a 3D high-precision detection system based on laser scanning imaging includes a detection carrier, an information acquisition module, and an information processing module. The central processor of the information processing module precisely controls the laser scanner, camera, detection table, and ultrasonic detector in real time, pre-acquires information about the object to be detected, obtains the size information, quality information, and type of the object to be detected. At the same time, it calculates the detection level F of the object to be detected, adjusts the comparison standard during the defect detection process according to the detection level F, and adjusts the rotation speed of the detection table to ensure the integrity of the acquisition of the contour information of the object to be detected by the laser scanner, reducing the error caused by the differences of the object to be detected to the detection result. At the same time, during the detection process, it determines whether to rescan according to the acquired detection information to improve the accuracy and integrity of the acquired information and ensure the reliability of the final detection result.

[0006] The above patent has the problems raised in this background technology: The above-mentioned on-line detector for surface three-dimensional topography places the surface to be measured of the element to be measured downward on the stage of a single-tube interference microscope, finds the imaging point, adjusts the three-dimensional adjustment stage to control the high-precision tilt and longitudinal displacement adjustment of the element to be measured until interference fringes appear on the software interface of the display, and realizes the scanning of the entire field of view by the uniform movement of the short-coherence light interference fringes during the phase shift process, thereby recording each frame of image, obtaining the topography of the surface to be measured of the element to be measured through the software interface and algorithm program, and presenting it on the display, and then completing the measurement of the required parameters; The above 3D high-precision detection system obtains the size information, quality information, and type of the object to be detected, calculates the detection level of the object to be detected, adjusts the comparison standard during the defect detection process according to the detection level, adjusts the rotation speed of the detection table, and at the same time determines whether to rescan according to the acquired detection information. The above two patents do not solve the problem of how to connect a laser measurement probe, capture the measurement target image, process and extract the features of the measurement target image, automatically identify the measurement target and display it on the liquid crystal touch screen, and at the same time control the measurement parameters through the liquid crystal touch screen. To solve this problem, the present invention proposes a portable precision laser detector. Summary of the Invention

[0007] The purpose of this part is to outline some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Simplifications or omissions may be made in this part, as well as in the abstract and title of the specification of this application, to avoid obscuring the purpose of this part, the abstract, and the title, and such simplifications or omissions shall not be used to limit the scope of the present invention.

[0008] In view of the problems existing in the above-mentioned existing portable precision laser detector, the present invention is proposed.

[0009] Therefore, the object of the present invention is to provide a portable precision laser detector.

[0010] To solve the above technical problems, the present invention provides a portable precision laser detector, comprising: a main body, a laser measurement probe, and a liquid crystal touch screen control system;

[0011] The liquid crystal touch screen control system includes a liquid crystal touch screen and an image processing module;

[0012] The image processing module includes an image acquisition unit, an image recognition unit, a data output unit, and a control unit;

[0013] The image acquisition unit is used to connect to the laser measurement probe to capture an image of the measurement target;

[0014] The image recognition unit is used to process and extract the features of the measurement target image to automatically recognize the measurement target;

[0015] The data output unit is used to display the processed measurement target image and the recognition result of the measurement target on the liquid crystal touch screen in real time;

[0016] The control unit is used to control the measurement parameters through the liquid crystal touch screen.

[0017] As a preferred embodiment of the portable precision laser detector of the present invention, wherein: after processing the measurement target image, the features of the measurement target image are extracted, and the features of the measurement target image include the total length L of the contour of the measurement target and the Hu moment Hu. The Hu moment Hu of the measurement target is obtained by normalizing the central moment of the measurement target image. The measurement target is automatically recognized according to the features of the measurement target image;

[0018] The strategy for automatically recognizing the measurement target includes:

[0019] The symmetry Hu2, skewness Hu3, and kurtosis Hu4 of the measurement target are respectively obtained according to the Hu moment Hu of the measurement target. A symmetry threshold T2, a skewness threshold T3, and a kurtosis threshold T4 are configured. The symmetry Hu2, skewness Hu3, and kurtosis Hu4 of the measurement target are respectively compared with the symmetry threshold T2, skewness threshold T3, and kurtosis threshold T4 to obtain the Hu moment feature state; a length threshold L0 is configured, and the total length L of the contour of the measurement target is compared with the length threshold L0 to obtain the length feature state. The recognition result of the measurement target is obtained by combining the Hu moment feature state and the length feature state.

[0020] As a preferred embodiment of the portable precision laser detector of the present invention, wherein: the logic of obtaining the recognition result of the measurement target by combining the Hu moment feature state and the length feature state includes:

[0021] If L > L0 and Hu2 < T2, then it is determined that the recognition result of the measurement target is normal for the measurement target;

[0022] If L ≤ L0 and Hu2 ≥ T2 and Hu3 ≥ T3, then it is determined that the recognition result of the measurement target is deformed for the measurement target;

[0023] If L ≤ L0 and Hu4 > T4, then it is determined that the recognition result of the measurement target is worn for the measurement target.

[0024] As a preferred solution of a portable precision laser detector described in the present invention, wherein: the logic of controlling measurement parameters through a liquid crystal touch screen includes:

[0025] Configure standard measurement parameters. If the recognition result of the measurement target is normal for the measurement target, then use the standard measurement parameters;

[0026] If the recognition result of the measurement target is deformed for the measurement target, then increase the measurement parameters;

[0027] If the recognition result of the measurement target is worn for the measurement target, then decrease the measurement parameters.

[0028] As a preferred solution of a portable precision laser detector described in the present invention, wherein: connect a laser measurement probe, and capture an image of the measurement target through an image acquisition strategy, and the image acquisition strategy includes:

[0029] According to the distance and shape of the measurement target, automatically adjust the focal length of the laser measurement probe, and at the same time, intelligently adjust the exposure parameters of the laser measurement probe according to the ambient light conditions;

[0030] The functional expression for automatically adjusting the focal length of the laser measurement probe is as follows:

[0031] f = k × d × ε;

[0032] In the formula, f represents the focal length of the laser measurement probe after adjustment, k represents the proportionality constant, d represents the distance between the laser measurement probe and the measurement target, and ε represents the shape factor of the measurement target;

[0033] Among them, the judgment strategy for the shape factor of the measurement target includes:

[0034] If the shape of the measurement target is circular, then s = 1;

[0035] If the shape of the measurement target is square, then the shape factor of the measurement target is the aspect ratio of the square;

[0036] If the shape of the measurement target is irregular, then extract the contour of the measurement target and calculate the shape factor of the measurement target.

[0037] As a preferred solution of the portable precision laser detector described in the present invention, wherein: the logic of extracting the contour of the measurement target and calculating the shape factor of the measurement target includes:

[0038] Extract the contour of the measurement target through edge detection, calculate the total length L of the extracted contour of the measurement target through pixel counting, and calculate the perimeter P of the minimum circumscribed rectangle of the measurement target. Obtain the boundary complexity of the measurement target from the total length of the contour and the perimeter of the minimum circumscribed rectangle. Configure the shape factor threshold and the boundary complexity threshold. The shape factor threshold includes the shape factor base value and the shape factor extreme value. The boundary complexity threshold includes the boundary complexity base value and the boundary complexity extreme value. Linearly map the boundary complexity according to the boundary complexity threshold to obtain the shape factor of the measurement target.

[0039] As a preferred solution of the portable precision laser detector described in the present invention, wherein: the functional expression for linearly mapping the boundary complexity to obtain the shape factor of the measurement target according to the boundary complexity threshold is as follows:

[0040]

[0041] In the formula, ε represents the shape factor of the measurement target, ε min represents the shape factor base value, c represents the boundary complexity, c min represents the boundary complexity base value, c max represents the boundary complexity extreme value, ε max represents the shape factor extreme value.

[0042] As a preferred solution of the portable precision laser detector described in the present invention, wherein: the calculation formula for the boundary complexity is as follows:

[0043] c = L / P;

[0044] In the formula, c represents the boundary complexity, L represents the total length of the contour of the measurement target, and P represents the perimeter of the minimum circumscribed rectangle of the measurement target.

[0045] As a preferred solution of the portable precision laser detector described in the present invention, wherein: the functional expression for the central moment of the measurement target image is as follows:

[0046]

[0047] In the formula, μ pq represents the central moment of the measurement target image, W represents the width of the measurement target image, H represents the height of the measurement target image, represents the centroid coordinates of the measurement target image. The indices p and q respectively represent the powers in the x and y directions, and I(x, y) represents the gray value of the measurement target image at the coordinate (x, y).

[0048] Advantages of the present invention: The present invention detects the measurement target through the main body, the laser measurement probe and the liquid crystal touch screen control system. The detection is convenient and fast, suitable for the processing unit or the using unit of the crushing roller, not affected by the site, fast and automatic detection, and long standby time. The liquid crystal touch screen control system includes a liquid crystal touch screen and an image processing module. The image processing module includes an image acquisition unit, an image recognition unit, a data output unit and a control unit. The image acquisition unit is connected to the laser measurement probe to capture the measurement target image, with high precision, high accuracy and stability, so as to comprehensively capture the image of the crushing roller. The image recognition unit processes and extracts the features of the measurement target image, automatically recognizes the measurement target, effectively identifies the state of the crushing roller, so as to guide maintenance and repair, thereby improving the processing quality of the crusher and reducing energy consumption. The data output unit displays the processed measurement target image and the recognition result of the measurement target on the liquid crystal touch screen in real time, which is used to guide the processing of the crushing roller and control the wear during the use of the crushing roller, helping the user better understand the measurement process and discover potential abnormalities of the crushing roller. The control unit controls the measurement parameters through the liquid crystal touch screen, which is used to extend the service life of the crushing roller and improve the quality of the crushed powder, improve the accuracy and efficiency of the measurement, and help the user better understand the measurement process to meet various measurement requirements. Description of the Drawings

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings. Among them:

[0050] Figure 1 is a schematic structural diagram of a portable precision laser detector of the present invention;

[0051] Figure 2 is a physical diagram of a portable precision laser detector of the present invention;

[0052] Figure 3 is a shape factor logic judgment diagram of a portable precision laser detector of the present invention;

[0053] Figure 4 is a measurement target recognition strategy flowchart of a portable precision laser detector of the present invention. Detailed Embodiments

[0054] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the following will make a detailed description of the specific embodiments of the present invention in conjunction with the drawings of the specification.

[0055] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention can also be implemented in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0056] Secondly, the so-called "one embodiment" or "embodiment" refers to a specific feature, structure, or characteristic that can be included in at least one implementation manner of the present invention. The phrase "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments.

[0057] Embodiment

[0058] In this embodiment, a structural schematic diagram of a portable precision laser detector is provided, as Figure 1 shown, a portable precision laser detector includes a body, a laser measurement probe, and a liquid crystal touch screen control system.

[0059] As Figure 2 shown, the body is a portable hand-held design, which is light and convenient to carry and measure. At the same time, the lithium battery has a long standby time, meeting the long-time needs of large-scale detection; the laser measurement probe is used to capture images of the measurement target.

[0060] The liquid crystal touch screen control system includes a liquid crystal touch screen and an image processing module.

[0061] The liquid crystal touch screen, as Figure 2 shown, includes a surface image of the object to be measured, the recognition result of the image, and a button for whether to perform measurement.

[0062] The image processing module includes an image acquisition unit, an image recognition unit, a data output unit, and a control unit.

[0063] The image acquisition unit is used to connect to the laser measurement probe to capture images of the measurement target, so as to comprehensively capture the images of the measurement target.

[0064] Connect to the laser measurement probe and capture images of the measurement target through an image acquisition strategy. The image acquisition strategy includes:

[0065] According to the distance and shape of the measurement target, automatically adjust the focal length of the laser measurement probe to ensure that the measurement target image is always in the best focus state. At the same time, intelligently adjust the exposure parameters of the laser measurement probe according to the ambient light conditions to ensure clear and uniform images can be obtained under different lighting conditions.

[0066] The functional expression for automatically adjusting the focal length of the laser measurement probe is as follows:

[0067] f = k × d × ε;

[0068] In the formula, f represents the focal length of the adjusted laser measurement probe, k represents the proportionality constant, d represents the distance between the laser measurement probe and the measurement target, and ε represents the shape factor of the measurement target.

[0069] It should be explained that: the proportionality constant k depends on the characteristics of the laser measurement probe (such as the divergence of the laser beam) and environmental conditions (such as light and gas composition, etc.). The value of the proportionality constant k usually needs to be measured during the experiment, and the value range of the proportionality constant k is between 0 and 1.

[0070] Among them, the judgment strategy of the shape factor of the measurement target includes:

[0071] If the shape of the measurement target is circular, then s = 1;

[0072] If the shape of the measurement target is square, then the shape factor of the measurement target is the aspect ratio of the length and width of the square;

[0073] If the shape of the measurement target is irregular, then extract the contour of the measurement target and calculate the shape factor of the measurement target.

[0074] The logic of extracting the contour of the measurement target and calculating the shape factor of the measurement target is as Figure 3 shown, specifically including:

[0075] Extract the contour of the measurement target through edge detection, calculate the total length L of the extracted contour of the measurement target through pixel counting, and calculate the perimeter P of the minimum circumscribed rectangle of the measurement target. Obtain the boundary complexity of the measurement target through the total length of the contour and the perimeter of the minimum circumscribed rectangle. Configure the shape factor threshold and the boundary complexity threshold. The shape factor threshold includes the shape factor base value and the shape factor extreme value. The boundary complexity threshold includes the boundary complexity base value and the boundary complexity extreme value. Obtain the shape factor of the measurement target by linearly mapping the boundary complexity according to the boundary complexity threshold.

[0076] The function expression for obtaining the shape factor of the measurement target by linearly mapping the boundary complexity according to the boundary complexity threshold is as follows:

[0077]

[0078] In the formula, ε represents the shape factor of the measurement target, ε min represents the shape factor base value, c represents the boundary complexity, c min represents the boundary complexity base value, c max represents the boundary complexity extreme value, ε max represents the shape factor extreme value.

[0079] The calculation formula for the boundary complexity is as follows:

[0080] c = L / P;

[0081] In the formula, c represents the boundary complexity, L represents the total length of the contour of the measurement target, and P represents the perimeter of the minimum circumscribed rectangle of the measurement target.

[0082] In order to more comprehensively consider the influence of the shape of the measurement target on the focal length adjustment, a shape factor of the measurement target is introduced to quantify the geometric characteristics of the measurement target. For simple geometric shapes, such as a circle, the value of the shape factor is set to 1; for example, for a square, the value of the shape factor is set to the aspect ratio of the corresponding square; for complex shapes, the contour of the crushing roll is extracted and the shape factor of the crushing roll is calculated.

[0083] For the total length L of the contour of the crushing roll and the perimeter P of the minimum circumscribed rectangle of the crushing roll extracted above, both are calculated by pixel counting. First, the crushing roll image needs to be converted into a binary image to distinguish the crushing roll from the background. After extracting the contour of the binary crushing roll image, the total length of the contour of the crushing roll is calculated according to the coordinates of the contour points; for the minimum circumscribed rectangle of the crushing roll, all vertex coordinates of the crushing roll need to be obtained first, and the minimum and maximum coordinates are found to obtain the boundary of the minimum circumscribed rectangle of the crushing roll, so as to calculate the width and height of the minimum circumscribed rectangle, and then obtain the perimeter of the minimum circumscribed rectangle; then, the boundary complexity is quantified by the total length of the contour of the crushing roll and the perimeter of the minimum circumscribed rectangle, so as to linearly map the boundary complexity to the shape factor of the crushing roll, obtain the shape factor of the crushing roll under complex shapes, and then obtain the adjustment result of the focal length of the laser measurement probe.

[0084] The functional expression for intelligently adjusting the exposure parameters of the laser measurement probe according to the ambient light conditions is as follows:

[0085]

[0086] In the formula, t represents the exposure time of the laser measurement probe, λ represents a fixed constant, l represents the ambient light intensity, and ε represents a constant.

[0087] It should be explained that: the fixed constant λ needs to be determined according to the characteristics of the measurement target to ensure obtaining the desired measurement results under the given ambient light conditions, and the fixed constant λ is usually a positive value; the value of the constant ε should be small enough so that it will not have a significant impact on the calculation results of the formula in most cases, but can ensure the validity of the formula and avoid mathematical uncertainties when the ambient light intensity is zero. The value range of the constant ε is between 0.001 and 0.01; at the same time, ensure that when calculating, the units of all variables are consistent to ensure the accuracy of the calculation.

[0088] The image recognition unit is used to process and extract the features of the measured target image, automatically identify the measured target, effectively identify the status of the crushing roll, so as to guide maintenance and improve the processing quality of the crusher and reduce energy consumption.

[0089] Convert the measured target image into a binary image to reduce the computational complexity, and use a Gaussian filter to remove the noise of the binary image. After processing the measured target image, extract the features of the measured target image. The features of the measured target image include the total length L of the contour of the measured target and the Hu moment Hu. The Hu moment Hu of the measured target is obtained by normalizing the central moment of the measured target image. Automatically identify the measured target according to the features of the measured target image.

[0090] The strategy for automatically identifying the measured target is as Figure 4 shown, specifically including:

[0091] Respectively obtain the symmetry Hu2, skewness Hu3 and kurtosis Hu4 of the measured target according to the Hu moment Hu of the measured target. Configure the symmetry threshold T2, skewness threshold T3 and kurtosis threshold T4. Compare the symmetry Hu2, skewness Hu3 and kurtosis Hu4 of the measured target with the symmetry threshold T2, skewness threshold T3 and kurtosis threshold T4 respectively to obtain the Hu moment feature status. Configure the length threshold L0. Compare the total length L of the contour of the measured target with the length threshold L0 to obtain the length feature status. Combine the Hu moment feature status and the length feature status to obtain the recognition result of the measured target.

[0092] The logic of combining the Hu moment feature status and the length feature status to obtain the recognition result of the measured target includes:

[0093] If L > L0 and Hu2 < T2, then judge that the recognition result of the measured target is that the measured target is normal;

[0094] If L ≤ L0 and Hu2 ≥ T2 and Hu3 ≥ T3, then judge that the recognition result of the measured target is that the measured target is deformed;

[0095] If L ≤ L0 and Hu4 > T4, then judge that the recognition result of the measured target is that the measured target is worn.

[0096] Among them, the functional expression of the central moment of the measured target image is as follows:

[0097]

[0098] In the formula, μ pq represents the central moment of the measured target image, W represents the width of the measured target image, H represents the height of the measured target image, Denote the centroid coordinates of the measured target image. The indices p and q represent the powers in the x and y directions respectively, and I(x, y) represents the gray value of the measured target image at the coordinate (x, y).

[0099] It should be explained that: the central moment μ of the measured target image pq is used to describe the characteristics of the shape of the measured target in the measured target image, which is achieved by weighted summation of the deviations of pixel positions, and can remove the influence of translation on the moment; the indices p and q represent the powers in the x and y directions respectively, and are non-negative integers. Different values of p and q will generate different moments, which determine the properties of the moment and have different geometric meanings. For example, μ 00 is the total mass of the measured target image, and μ 20 and μ 02 reflect the distributions of the measured target image in the x and y directions respectively, and μ 11 reflects the inclination degree of the measured target image; the centroid coordinates of the measured target image is the center of the mass distribution of the measured target image, which is obtained by averaging the weights of all pixel positions, and the weight is the pixel intensity.

[0100] The Hu moment Hu of the measured target is obtained by normalizing the central moment of the measured target image. Then, according to the Hu moment Hu of the measured target, the symmetry Hu2, skewness Hu3, and kurtosis Hu4 of the measured target are obtained respectively. The functional expressions of the symmetry Hu2, skewness Hu3, and kurtosis Hu4 of the measured target are as follows:

[0101]

[0102] Hu3 = (μ 30 - 3μ 12 ) 2 +(3μ 21 - μ 03 ) 2 ;

[0103] Hu4 = (μ 30 + μ 12 ) 2 +(μ 21 + μ 03 ) 2 ;

[0104] In the formula, Hu2 represents the symmetry of the measured target, μ 20 represents the second-order central moment, which describes the distribution of the measured target image in the horizontal direction, μ 02 represents the second-order central moment, which describes the distribution of the measured target image in the vertical direction, μ 11 represents the first-order central moment, which describes the inclination degree of the measured target image, and Hu3 represents the skewness of the measured target30 Represents the third-order central moment, describing the skewness of the measured target image in the horizontal direction, μ 12 Represents the combination of the first-order and second-order central moments, describing the slope of the measured target image, μ 21 Represents the combination of the second-order and first-order central moments, describing the slope of the measured target image, μ 03 Represents the third-order central moment, describing the skewness of the measured target image in the vertical direction, and Hu4 represents the kurtosis of the measured target.

[0105] It should be explained that: the symmetry Hu2 of the measured target reflects the distribution difference of the measured target image in the horizontal and vertical directions. A large difference indicates that the surface shape of the measured target may be asymmetric; the skewness Hu3 of the measured target reflects the distribution of the measured target shape around the center point, revealing the skewness of the measured target shape, that is, the degree of deviation from the average value; the kurtosis Hu4 of the measured target reflects the sharpness of the measured target shape and the sharpness of the edge. The higher the kurtosis value, the higher the complexity and sharpness of the measured target shape.

[0106] The state of the crushing roll is comprehensively judged and classified through the length feature state and the Hu moment feature state, including normal, deformed, and worn respectively. When the symmetry Hu2 of the crushing roll and the skewness Hu3 of the crushing roll in the Hu moment are greater than or equal to the corresponding symmetry threshold and skewness threshold respectively, it indicates that the shape of the crushing roll has changed; and when the kurtosis Hu4 of the crushing roll in the Hu moment is greater than the kurtosis threshold, it means that the complexity of the crushing roll shape has increased significantly, indicating that the crushing roll may have defects or damages. Through the above strategies and logics, the automatic identification of the crushing roll is completed for subsequent display on the liquid crystal touch screen.

[0107] The data output unit is used to display the processed measured target image and the identification result of the measured target on the liquid crystal touch screen in real time, helping users better understand the measurement process and discover potential abnormalities of the crushing roll.

[0108] A high-resolution liquid crystal touch screen is adopted to ensure that the processed crushing roll image and the identification result of the crushing roll are clearly visible, realizing the function of real-time display, enabling users to view the crushing roll image and the identification result immediately, and automatically judging whether to give intelligent prompts or warnings according to the identification result of the crushing roll. For example, when the identification result of the crushing roll is that the crushing roll is deformed or the crushing roll is worn, the corresponding situations are warned and the user is prompted to take corresponding measures.

[0109] The control unit is used to control the measurement parameters through the liquid crystal touch screen, improving the accuracy and efficiency of the measurement, and helping users better understand the measurement process to meet various measurement requirements.

[0110] The logic of controlling the measurement parameters through the liquid crystal touch screen includes:

[0111] Configure standard measurement parameters. If the recognition result of the measurement target is that the measurement target is normal, use the standard measurement parameters.

[0112] If the recognition result of the measurement target is that the measurement target is deformed, increase the measurement parameters.

[0113] If the recognition result of the measurement target is that the measurement target is worn, decrease the measurement parameters.

[0114] Determine the recognition result of the crushing roll, and then judge the adjustment method of the measurement parameters. When the crushing roll is normal, use the standard measurement parameters, such as the standard measurement frequency, sensitivity, and resolution. When the crushing roll is deformed, increase the measurement parameters, such as increasing the measurement frequency and sensitivity to capture more subtle changes. If the deformation is severe, increase the data sampling rate and enable multiple measurements to average the results. When the crushing roll is worn, decrease the measurement parameters, such as reducing the measurement frequency, focusing on long-term trend monitoring, recording the historical data of the crushing roll, and comparing it with the current data to provide an assessment of the wear rate of the crushing roll.

[0115] At the same time, identify the best combination of measurement parameters for historical data under different recognition results, and during the measurement process, dynamically adjust the recommended measurement parameters based on real-time data and historical data. At the same time, provide user feedback to allow the user to choose whether to accept the recommended measurement parameters or make adjustments by themselves. By continuously collecting new images of the crushing roll and measurement parameters, update and optimize the measurement process and the recognition result of the crushing roll.

[0116] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A portable precision laser detector, characterized in that: include: Main body, laser measuring probe and LCD touch screen control system; The liquid crystal touch screen control system includes a liquid crystal touch screen and an image processing module; The image processing module includes an image acquisition unit, an image recognition unit, a data output unit and a control unit; The image acquisition unit is used to connect to the laser measurement probe to capture the measurement target image; Connecting a laser measuring probe to capture a measurement target image through an image acquisition strategy, the image acquisition strategy comprising: Automatically adjust the focal length of the laser measuring probe according to the distance and shape of the measuring target, and intelligently adjust the exposure parameters of the laser measuring probe according to the ambient light conditions; The function expression for automatically adjusting the focal length of the laser measurement probe is as follows: ； In the formula, Indicates the focal length of the laser measurement probe after adjustment. represents the proportionality constant, Indicates the distance between the laser measurement probe and the measurement target. represents the shape factor of the measurement target; Among them, the judgment strategy of the shape factor of the measurement target includes: If the shape of the measurement target is a circle, then ; If the shape of the measurement target is a square, the shape factor of the measurement target is the aspect ratio of the square; If the shape of the measurement target is irregular, the contour of the measurement target is extracted and the shape factor of the measurement target is calculated; The logic of extracting the contour of the measurement target and calculating the shape factor of the measurement target includes: The contour of the measurement target is extracted through edge detection, and the total length of the extracted contour of the measurement target is calculated by pixel counting. , and calculate the perimeter of the minimum enclosing rectangle of the measurement target , the boundary complexity of the measurement target is obtained by the total length of the contour and the perimeter of the minimum circumscribed rectangle, and the shape factor threshold and the boundary complexity threshold are configured. The shape factor threshold includes the shape factor base value and the shape factor extreme value, and the boundary complexity threshold includes the boundary complexity base value and the boundary complexity extreme value. According to the boundary complexity threshold, the boundary complexity is linearly mapped to obtain the shape factor of the measurement target; The function expression of linearly mapping the boundary complexity according to the boundary complexity threshold to obtain the shape factor of the measurement target is as follows: ； In the formula, represents the shape factor of the measurement target, represents the shape factor base value, represents the boundary complexity, Represents the boundary complex base value, represents the boundary complex extreme value, represents the extreme value of shape factor; The calculation formula of the boundary complexity is as follows: ； In the formula, represents the boundary complexity, Indicates the total length of the contour of the measurement target, Indicates the perimeter of the minimum circumscribed rectangle of the measurement target; The image recognition unit is used to process and extract features of the measurement target image and automatically recognize the measurement target; The data output unit is used to display the processed measurement target image and the recognition result of the measurement target on the liquid crystal touch screen in real time; The control unit is used to control the measurement parameters through the liquid crystal touch screen.

2. A portable precision laser detector as claimed in claim 1, characterized in that: After processing the measurement target image, the features of the measurement target image are extracted, wherein the features of the measurement target image include the total length of the contour of the measurement target. Hu Moment , according to the central moment normalization of the measurement target image, the Hu moment of the measurement target is obtained , automatically identifying the measurement target according to the features of the measurement target image; Strategies for automatic identification of measurement targets include: According to the Hu moment of the measured target The symmetry of the measurement target is obtained respectively , skewness and Kurtosis , configure the symmetric threshold , skewness threshold and kurtosis threshold , the symmetry of the target will be measured , skewness and Kurtosis Symmetric threshold , skewness threshold and kurtosis threshold Compare and obtain the Hu moment characteristic state; Configuring the length threshold , the total length of the target's contour will be measured With length threshold The length characteristic state is obtained by comparison, and the recognition result of the measurement target is obtained by combining the Hu moment characteristic state and the length characteristic state.

3. A portable precision laser detector as claimed in claim 2, characterized in that: The logic of obtaining the recognition result of the measurement target by integrating the Hu moment characteristic state and the length characteristic state includes: like and , then the recognition result of the measurement target is judged to be normal; like and and , then the recognition result of the measurement target is judged to be the measurement target deformation; like and , then the recognition result of the measurement target is judged to be the measurement target wear.

4. A portable precision laser detector as claimed in claim 3, characterized in that: The logic of controlling the measurement parameters through the LCD touch screen includes: Configure standard measurement parameters. If the recognition result of the measurement target is that the measurement target is normal, use the standard measurement parameters. If the recognition result of the measurement target is that the measurement target is deformed, the measurement parameter is increased; If the identification result of the measurement target is that the measurement target is worn, the measurement parameter is reduced.

5. A portable precision laser detector as claimed in claim 4, characterized in that: The function expression of the central moment of the measured target image is as follows: ； In the formula, Represents the central moment of the measured target image, Indicates measuring the width of the target image. Indicates the height of the target image to be measured. Indicates the coordinates of the center of gravity of the measured target image, index and Respectively represent and The power of the direction, Indicates the measurement target image at coordinates The gray value at .

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