Portable precise laser detector

Abstract

The invention relates to the technical field of image processing, and discloses a portable precise laser detector which is convenient and fast to detect by detecting a measured target through a body, a laser measuring probe and a liquid crystal touch screen control system, and the liquid crystal touch screen control system comprises a liquid crystal touch screen and an image processing module. The image processing module comprises an image acquisition unit, an image recognition unit, a data output unit and a control unit; an image acquisition unit is connected with the laser measurement probe to capture a measurement target image; the image recognition unit processes and extracts the characteristics of the measurement target image, and automatically recognizes the measurement target, so that the processing quality of the crusher is improved, and the energy consumption is reduced; 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, so that a user is helped to better understand the measurement process and find potential abnormity of the crushing roller; the control unit controls measurement parameters through the liquid crystal touch screen so as to meet various measurement requirements.

Description

Technical Field

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

[0002] In the process of crushing roller processing in the grain, oil and food industry, the processing precision may be inaccurate, and wear may occur during use but cannot be measured. In summary, the life of the crushing roller is shortened or the quality of the processed powder is reduced, the energy consumption of the equipment is increased, etc. Therefore, it is necessary to test the crushing roller. This can guide the extension of the service life of the crushing roller, ensure the processing quality of the crusher, reduce the energy consumption of the crusher, etc.

[0003] Usually, the stylus crawling type, the photo comparison type, and the computer host drag line shooting detection are used. Among them, the stylus crawling type has inaccurate accuracy when the tooth shape is too deep or too thin, and the standby time is short; the photo comparison type has low accuracy and cannot measure the fine-tooth crushing roller. The measurement data is greatly affected by human operation and the standby time is short; the computer host drag line shooting detection is only suitable for large position detection in laboratories or processing sites, and cannot meet the detection during the use of crushers. However, most of them have not solved how to connect the laser measurement probe, capture the measurement target image, process and extract the characteristics of the measurement target image, automatically identify the measurement target and display it on the LCD touch screen, and control the measurement parameters through the LCD touch screen.

[0004] For example, the Chinese patent with the authorization announcement number CN105241393B discloses a high-precision portable optical surface three-dimensional morphology online detector, which is mainly composed of a light source, a monocular interference microscope, an image acquisition system, a control source, a driving source, a phase shifter and an industrial computer. Its advantages are small size, good vibration resistance, and can meet the high-precision online rapid batch detection of ultra-precision processing components in the fields of optics, microelectronics, and machinery. It can be applied to production and scientific research fields such as chips, LEDs, micro-machines, micro-optics, optical gyroscopes for aerospace, high-power lasers, and astronomical telescopes.

[0005] For example, a Chinese patent with authorization announcement number CN112097683B discloses a 3D high-precision detection system based on laser scanning imaging, including a detection carrier, an information acquisition module and an information processing module. The central processor of the information processing module can accurately control the laser scanner, camera, detection platform and ultrasonic detector in real time, pre-acquire information of the object to be detected, obtain the size information, quality information and type of the object to be inspected, and at the same time, calculate the detection level F of the object to be detected, adjust the comparison standard in the defect detection process according to the detection level F, adjust the rotation speed of the detection platform, ensure the completeness of the laser scanner's acquisition of the shape contour information of the object to be detected, reduce the error caused by the difference of the object to be detected to the detection result, and at the same time, determine whether re-scanning is needed according to the acquired detection information during the detection process to improve the accuracy and completeness of the acquired information and ensure the reliability of the final detection result.

[0006] The above patents have the problems raised by this background technology: the above-mentioned surface three-dimensional morphology online detector places the surface of the component to be tested downward on the stage of the monocular interference microscope, finds the imaging point, and adjusts the three-dimensional adjustment stage to control the high-precision tilt and longitudinal displacement adjustment of the component to be tested until interference fringes appear on the software interface of the display, and the short coherent light interference fringes are evenly moved during the phase shift process to achieve scanning in the entire field of view, thereby recording each frame of the image, and obtaining the morphology of the surface of the component to be tested through the software interface and algorithm program, and presenting it on the display, thereby completing the measurement of the required parameters; the above-mentioned 3D high-precision detection system obtains the size information, quality information and type of the object to be tested of the object to be tested, and calculates the detection level of the object to be tested, adjusts the comparison standard in the defect detection process according to the detection level, adjusts the rotation speed of the detection stage, and determines whether rescanning is required according to the obtained detection information. The above two patents do not solve the problem of how to capture the measurement target image by connecting a laser measurement probe, process and extract the features of the measurement target image, automatically identify the measurement target and display it on the LCD touch screen, and control the measurement parameters through the LCD touch screen. To solve this problem, the present invention proposes a portable precision laser detector. Summary of the invention

[0007] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

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

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

[0010] In order to solve the above technical problems, the present invention provides a portable precision laser detector, comprising: a body, a laser measuring 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 the measurement target image;

[0014] The image recognition unit is used to process and extract features of the measurement target image and 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 solution of the portable precision laser detector described in the present invention, the features of the measurement target image are extracted after processing the measurement target image, the features of the measurement target image include the total length L and Hu moment Hu of the contour of the measurement target, the Hu moment Hu of the measurement target is obtained by normalizing the central moment of the measurement target image, and the measurement target is automatically identified according to the features of the measurement target image;

[0018] Strategies for automatic identification of measurement targets include:

[0019] According to the Hu moment Hu of the measured target, the symmetry Hu of the measured target is obtained respectively. 2 , skewness Hu 3 and Kurtosis Hu 4 , configure the symmetric threshold T 2 , skewness threshold T 3 and kurtosis threshold T 4 , the symmetry of the measurement target Hu 2 , skewness Hu 3 and Kurtosis Hu 4 Respectively with the symmetric threshold T 2 , skewness threshold T 3 and kurtosis threshold T 4 Compare and get the Hu moment characteristic state; configure the length threshold L 0 , the total length L of the contour of the measured target is compared with the length threshold L0 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.

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

[0021] If L>L 0 And Hu 2 <T 2 , then the recognition result of the measurement target is judged to be normal;

[0022] If L≤L 0 And Hu 2 ≥T 2 And Hu 3 ≥T 3 , then the recognition result of the measurement target is judged to be the measurement target deformation;

[0023] If L≤L 0 And Hu 4 >T 4 , then the recognition result of the measurement target is judged to be the measurement target wear.

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

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

[0026] If the recognition result of the measurement target is that the measurement target is deformed, the measurement parameter is increased;

[0027] If the identification result of the measurement target is that the measurement target is worn, the measurement parameter is reduced.

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

[0029] 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;

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

[0031] f = k × d × ε;

[0032] Where, f represents the focal length of the laser measuring probe after κ adjustment, k represents the proportional constant, d represents the distance between the laser measuring probe and the measuring target, and ε represents the shape factor of the measuring target;

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

[0034] If the shape of the measurement target is a circle, s = 1;

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

[0036] 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.

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

[0038] The contour of the measurement target is extracted by edge detection, the total length L of the extracted contour of the measurement target is calculated by pixel counting, and the perimeter P of the minimum circumscribed rectangle of the measurement target is calculated. The boundary complexity of the measurement target is obtained by the total length of the contour and the perimeter of the minimum circumscribed rectangle. The shape factor threshold and the boundary complexity threshold are configured. The shape factor threshold includes a shape factor base value and a shape factor extreme value. The boundary complexity threshold includes a boundary complexity base value and a boundary complexity extreme value. The boundary complexity is linearly mapped 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, the function expression of the shape factor of the measurement target obtained by linearly mapping the boundary complexity according to the boundary complexity threshold is as follows:

[0040]

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

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

[0043] c=L / P ;

[0044] Where 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, the function expression of the central moment of the measured target image is as follows:

[0046]

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

[0048] Beneficial effects of the present invention: The present invention detects the measurement target through the body, the laser measuring probe and the liquid crystal touch screen control system, the detection is convenient and fast, and is suitable for the processing unit or the user unit of the crushing roller. It is not affected by the site, and the detection is fast and automatic, and the standby time is long. The liquid crystal touch screen control system includes a liquid crystal touch screen and an image processing module, and the image processing module includes an image acquisition unit, an image recognition unit, a data output unit and a control unit; the laser measuring probe is connected through the image acquisition unit to capture the measurement target image with high precision, high accuracy and high stability, so as to fully 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, and effectively recognizes the state of the crushing roller, so as to guide maintenance and maintenance, 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 of the crushing roller during use, and help users 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 users better understand the measurement process to meet various measurement needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

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

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

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

[0053] Figure 4 The present invention is a flow chart of a measurement target recognition strategy of a portable precision laser detector. DETAILED DESCRIPTION

[0054] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0055] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention can also be implemented in other ways different from those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0056] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0057] Example

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

[0059] like Figure 2 As shown, the main body is a portable design, which is light and easy to carry and measure. At the same time, the lithium battery has a long standby time, which meets the long-term needs of large-scale inspection; the laser measurement probe is used to capture the measurement target image.

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

[0061] LCD touch screen Figure 2 As shown, it includes a surface image of the object to be measured, a recognition result of the image and a button for determining 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 the image of the measurement target, so as to fully capture the image of the measurement target.

[0064] Connect the laser measurement probe and capture the measurement target image through the image acquisition strategy, which includes:

[0065] The laser probe's focal length is automatically adjusted according to the distance and shape of the target to ensure that the target image is always in optimal focus. The laser probe's exposure parameters are intelligently adjusted according to ambient light conditions to ensure clear and uniform images under different lighting conditions.

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

[0067] f = k × d × ε;

[0068] Where f represents the focal length of the laser measurement probe after adjustment, k represents the proportional 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 needs to 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. 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 a circle, s = 1;

[0072] If the shape of the measurement target is a square, the shape factor of the measurement target is the aspect ratio of the square;

[0073] 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.

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

[0075] The contour of the measurement target is extracted by edge detection, the total length L of the extracted contour of the measurement target is calculated by pixel counting, and the perimeter P of the minimum circumscribed rectangle of the measurement target is calculated. The boundary complexity of the measurement target is obtained by the total length of the contour and the perimeter of the minimum circumscribed rectangle. The shape factor threshold and the boundary complexity threshold are configured. The shape factor threshold includes a shape factor base value and a shape factor extreme value. The boundary complexity threshold includes a boundary complexity base value and a boundary complexity extreme value. The boundary complexity is linearly mapped according to the boundary complexity threshold to obtain the shape factor of the measurement target.

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

[0077]

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

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

[0080] c=L / P ;

[0081] Where 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 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 roller is extracted and the shape factor of the crushing roller is calculated.

[0083] The total length L of the contour of the crushing roller extracted above and the perimeter P of the minimum circumscribed rectangle of the crushing roller are calculated by pixel counting. The crushing roller image needs to be converted into a binary image first to distinguish the crushing roller from the background. After the contour of the binary crushing roller image is extracted, the total length of the contour of the crushing roller is calculated according to the coordinates of the contour points; and the minimum circumscribed rectangle of the crushing roller needs to first obtain the coordinates of all vertices of the crushing roller, find the minimum and maximum coordinates to obtain the boundary of the minimum circumscribed rectangle of the crushing roller, so as to calculate the width and height of the minimum circumscribed rectangle, thereby obtaining the perimeter of the minimum circumscribed rectangle; then the boundary complexity is quantified by the total length of the contour of the crushing roller and the perimeter of the minimum circumscribed rectangle, so as to linearly map the boundary complexity to the shape factor of the crushing roller, and obtain the shape factor of the crushing roller under the complex shape, thereby obtaining 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] Where 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 needs to be explained that: the fixed constant λ needs to be determined according to the characteristics of the measurement target to ensure that the desired measurement results are obtained under given ambient light conditions. 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 it can ensure the validity of the formula and avoid mathematical uncertainty 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 the units of all variables are consistent during calculation to ensure the accuracy of the calculation.

[0088] The image recognition unit is used to process and extract the features of the measurement target image, automatically identify the measurement target, and effectively identify the status of the crushing roller in order to guide maintenance and servicing, thereby improving the processing quality of the crusher and reducing energy consumption.

[0089] The measurement target image is converted into a binary image to reduce the computational complexity, and a Gaussian filter is used to remove the noise of the binary image. After processing the measurement target image, the features of the measurement target image are extracted. The features of the measurement target image include the total length L and Hu moment Hu of the contour of the measurement target. The Hu moment Hu of the measurement target is obtained by normalizing the measurement target image according to the central moment, and the measurement target is automatically identified according to the features of the measurement target image.

[0090] Strategies for automatic identification of measurement targets include: Figure 4As shown, specifically including:

[0091] According to the Hu moment Hu of the measured target, the symmetry Hu of the measured target is obtained respectively. 2 , skewness Hu 3 and Kurtosis Hu 4 , configure the symmetric threshold T 2 , skewness threshold T 3 and kurtosis threshold T 4 , the symmetry of the measurement target Hu 2 , skewness Hu 3 and Kurtosis Hu 4 Respectively with the symmetric threshold T 2 , skewness threshold T 3 and kurtosis threshold T 4 Compare and get the Hu moment characteristic state; configure the length threshold L 0 , the total length L of the contour of the measured target is compared with the length threshold L 0 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.

[0092] The logic of obtaining the recognition result of the measurement target by integrating the Hu moment characteristic state and the length characteristic state includes:

[0093] If L>L 0 And Hu 2 <T 2 , then the recognition result of the measurement target is judged to be normal;

[0094] If L≤L 0 And Hu 2 ≥T 2 And Hu 3 ≥T 3 , then the recognition result of the measurement target is judged to be the measurement target deformation;

[0095] If L≤L 0 And Hu 4 >T 4 , then the recognition result of the measurement target is judged to be the measurement target wear.

[0096] Among them, the function expression for measuring the central moment of the target image is as follows:

[0097]

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

[0099] What needs to be explained is: measure the central moment μ of the target image pq It is used to describe the characteristics of the shape of the measured target in the measured target image. It is achieved by weighted summing the deviations of the pixel positions, which can remove the influence of translation on the moment. The index, and q represent the power in the x and y directions respectively, which are non-negative integers. Different p and q values ​​will generate different moments, which determine the properties of the moments and have different geometric meanings, such as μ 00 is the total mass of the measured target image, μ 20 and μ 02 It reflects the distribution of the measured target image in the x and y directions, μ 11 It reflects the tilt degree of the measured target image; the coordinates of the center of gravity of the measured target image It is the center of the mass distribution of the target image, which is obtained by averaging the weights of all pixel positions, where 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, and then the symmetry Hu of the measured target is obtained according to the Hu moment Hu of the measured target. 2 , skewness Hu 3 and Kurtosis Hu 4 , measure the symmetry of the target Hu 2 , skewness Hu 3 and Kurtosis Hu 4 The function expression is as follows:

[0101]

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

[0103] Hu 4 =(μ 30 +μ 12 ) 2 +(μ 21 +μ 03 ) 2 ;

[0104] In the formula, Hu 2 Indicates the symmetry of the measurement target, μ 20Represents the second-order central moment, describing the distribution of the measured target image in the horizontal direction, μ 02 Represents the second-order central moment, describing the distribution of the measured target image in the vertical direction, μ 11 Represents the first-order central moment, describing the tilt of the measured target image, Hu 3 Indicates the skewness of the measurement target, μ 30 Represents the third-order central moment, describing the skewness of the target image in the horizontal direction, μ 12 Represents the combination of the first 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 target image in the vertical direction. Hu 4 Indicates the kurtosis of the measurement target.

[0105] What needs to be explained is: the symmetry of the measurement target Hu 2 It reflects the distribution difference of the measured target image in the horizontal and vertical directions. The larger the difference, the asymmetric shape of the measured target surface may be. 3 It reflects the distribution of the shape of the measurement target around the center point, and reveals the skewness of the shape of the measurement target, that is, the degree of deviation from the average value; the kurtosis Hu of the measurement target 4 It reflects the sharpness of the shape of the measurement target and the sharpness of the edge. The higher the kurtosis value, the more complex and sharp the shape of the measurement target is.

[0106] The state of the crushing roller can be comprehensively judged and classified by the length characteristic state and the Hu moment characteristic state, including normal, deformation and wear. 2 and the skewness of the crushing roller Hu 3 When they are greater than or equal to the corresponding symmetry threshold and skewness threshold, it indicates that the shape of the crushing roller has changed; and when the kurtosis Hu of the crushing roller in the Hu moment 4 When it is greater than the kurtosis threshold, it means that the complexity of the crushing roller shape has increased significantly, indicating that the crushing roller may be defective or damaged. The above strategy and logic are used to complete the automatic identification of the crushing roller for subsequent LCD touch screen display.

[0107] The data output unit is used to display the processed measurement target image and the recognition result of the measurement target in real time on the LCD touch screen, helping the user to better understand the measurement process and discover potential abnormalities of the crushing roller.

[0108] The use of a high-resolution LCD touch screen ensures that the processed crushing roller image and the recognition result of the crushing roller are clearly visible, and realizes the function of real-time display, so that the user can instantly view the crushing roller image and recognition result, and automatically determine whether an intelligent prompt or warning is needed based on the recognition result of the crushing roller. For example, when the recognition result of the crushing roller is a deformation of the crushing roller or a wear of the crushing roller, the corresponding situation is warned and the user is prompted to take corresponding measures.

[0109] The control unit is used to control the measurement parameters through the LCD touch screen, improve the accuracy and efficiency of the measurement, and help users better understand the measurement process to adapt to various measurement needs.

[0110] The logic for controlling the measurement parameters through the LCD 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, the measurement parameter is increased;

[0113] If the identification result of the measurement target is that the measurement target is worn, the measurement parameter is reduced.

[0114] Determine the identification result of the crushing roller, and then judge the adjustment method of the measurement parameters. When the crushing roller is normal, use standard measurement parameters, such as standard measurement frequency, sensitivity and resolution; when the crushing roller is deformed, increase the measurement parameters, such as increasing the measurement frequency and sensitivity, to capture more subtle changes. If the deformation is serious, increase the data sampling rate and enable multiple measurements to average the results; when the crushing roller is worn, reduce the measurement parameters, such as reducing the measurement frequency, focus on long-term trend monitoring, record the historical data of the crushing roller, and compare it with the current data to provide an assessment of the crushing roller wear rate.

[0115] At the same time, it identifies the best measurement parameter combination of historical data under different recognition results, and dynamically adjusts the recommended measurement parameters based on real-time data and historical data during the measurement process; at the same time, it provides user feedback, allowing users to choose whether to accept the recommended measurement parameters or make adjustments on their own. By continuously collecting new crushing roller images and measurement parameters, the measurement process and crushing roller recognition results are updated and optimized.

[0116] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should be included in 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; 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, extracting features of the measurement target image, the features of the measurement target image including the total length L and the Hu moment Hu of the contour of the measurement target, obtaining the Hu moment Hu of the measurement target by normalizing the central moment of the measurement target image, and 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 Hu of the measurement target, the symmetry Hu2, skewness Hu3 and kurtosis Hu4 of the measurement target are obtained respectively, and the symmetry threshold T2, skewness threshold T3 and kurtosis threshold T4 are configured. The symmetry Hu2, skewness Hu3 and kurtosis Hu4 of the measurement target are compared with the symmetry threshold T2, skewness threshold T3 and kurtosis threshold T4 respectively to obtain the Hu moment characteristic state; The 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, and the recognition result of the measurement target is obtained by combining the Hu moment feature state and the length feature 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: If L>L0 and Hu2<T2, the recognition result of the measurement target is judged to be normal; If L≤L0 and Hu2≥T2 and Hu3≥T3, the recognition result of the measurement target is judged to be the measurement target deformation; If L≤L0 and Hu4>T4, the recognition result of the measurement target is determined 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: 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: f = k × d × s; Where, f represents the focal length of the laser measuring probe after adjustment, k represents the proportional constant, d represents the distance between the laser measuring probe and the measuring target, and s represents the shape factor of the measuring 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, s = 1; 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.

6. A portable precision laser detector as claimed in claim 5, characterized in that: 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 by edge detection, the total length L of the extracted contour of the measurement target is calculated by pixel counting, and the perimeter P of the minimum circumscribed rectangle of the measurement target is calculated. The boundary complexity of the measurement target is obtained by the total length of the contour and the perimeter of the minimum circumscribed rectangle. The shape factor threshold and the boundary complexity threshold are configured. The shape factor threshold includes a shape factor base value and a shape factor extreme value. The boundary complexity threshold includes a boundary complexity base value and a boundary complexity extreme value. The boundary complexity is linearly mapped according to the boundary complexity threshold to obtain the shape factor of the measurement target.

7. A portable precision laser detector as claimed in claim 6, characterized in that: 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: Where s represents the shape factor of the measurement target, s min represents the shape factor base value, c represents the boundary complexity, c min Indicates the boundary complex base value, c max Indicates the boundary complex extreme value, s max Indicates the extreme value of the shape factor.

8. A portable precision laser detector as claimed in claim 7, characterized in that: The calculation formula of the boundary complexity is as follows: c = L / P; Where 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.

9. A portable precision laser detector as claimed in claim 8, characterized in that: The function expression of the central moment of the measured target image is as follows: In the formula, μ pq represents the central moment of the target image, W represents the width of the target image, and H represents the height of the target image. represents the centroid coordinates of the measurement target image, the indexes p and q represent the powers in the x and y directions respectively, and I(x, y) represents the grayscale value of the measurement target image at the coordinates (x, y).

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