Automatic measuring system of hammering type Brinell hardness tester

Abstract

The invention relates to the field of detection equipment, and discloses a hammering type Brinell hardness tester automatic measurement system which comprises an image acquisition module, the image acquisition module acquires a detection image in a camera shooting and shooting mode and transmits the detection image to a measurement analysis module, the image acquisition module is connected with the measurement analysis module, and the measurement analysis module is connected with the hammering type Brinell hardness tester. And the measurement analysis module receives the detection image acquired by the image acquisition module, compares the image content with a scheme standard, and judges whether the image content meets a production standard or not. Through cooperative work of the image acquisition module and the measurement analysis module, the influence of human factors such as visual errors and different use proficiency degrees of measuring tools on the measurement precision during manual measurement is avoided, the handheld camera acquires indentation images, the image recognition module accurately recognizes indentations by using an advanced image recognition technology, and the measurement accuracy is improved. Compared with manual reading of measuring tool values, indentation shape parameters can be obtained more accurately.

Description

Technical Field

[0001] The invention relates to the technical field of detection equipment, in particular to an automatic measurement system for a hammer-type Brinell hardness tester. Background Art

[0002] In the crucial field of industrial material testing, Brinell hardness measurement occupies a unique position. It is like a precise "ruler" in industrial production and is widely used in the hardness characteristic evaluation of various metal materials and some non-metallic materials.

[0003] The traditional hammer-type Brinell hardness tester has long been one of the main means of industrial material hardness testing. This technology mainly relies on manual labor to complete the entire measurement process. When measuring, the operator needs to hold the hardness tester and manually operate the pressing action with his own strength and experience to make the indenter form an indentation on the surface of the material being tested. After completing the pressing step, the operator will use professional measuring tools such as calipers and microscopes to measure the indentation formed. The whole process requires the operator to concentrate highly and has a high level of proficiency in the operation steps and the use of measuring tools.

[0004] This traditional manual measurement method has problems that cannot be ignored. First, in terms of measurement accuracy, due to the characteristics of manual measurement, its results are easily interfered by human factors. The operator's visual error is an important influencing factor. When using a gauge to read the indentation data, different observation angles and visual acuity may lead to deviations in the reading values. Moreover, the operators' proficiency in the use of measuring tools varies. The operation details such as the technique, strength, and selection of measuring points of the measuring tool may affect the accuracy of the final measurement results. For example, when using a microscope to measure the diameter of a tiny indentation, if the operation is improper, it may not be able to focus accurately or read the scale value accurately. Secondly, from the perspective of measurement process and efficiency, the whole process is quite cumbersome. Manually measuring two indentations and obtaining the results by consulting the hardness conversion table takes a lot of time. Especially in large-scale industrial production, when a large number of material samples need to be tested, this inefficient measurement method will become a bottleneck in the production and testing process. The long measurement process not only slows down the production progress, but also may lead to the failure to timely feedback of the test results, thereby affecting the timely adjustment and optimization of product quality, and thus having a serious negative impact on the entire production plan and product delivery. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides an automatic measurement system for a hammer-type Brinell hardness tester, which solves the problems of the traditional manual hammer-type Brinell hardness measurement method, that the measurement accuracy is easily affected by human factors such as the operator's visual error and the proficiency of the measuring tool, and that the measurement process is cumbersome and inefficient.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an automatic measurement system for a hammer-type Brinell hardness tester, comprising an image acquisition module, the image acquisition module comprising a handheld camera, the image acquisition module acquires a detection image by video and shooting, and transmits the detection image to a measurement and analysis module, the image acquisition module is connected to a measurement and analysis module, the measurement and analysis module receives the detection image acquired from the image acquisition module, and compares the image content with the scheme standard to determine whether it meets the production standard, and transmits the judgment conclusion to the conclusion module, the measurement and analysis module is connected to a conclusion module, the conclusion module receives the result given by the measurement and analysis module, and transmits the result to an interactive platform module, the conclusion module is connected to an interactive platform module, the interactive platform module provides an interactive platform for the system and the user, and facilitates the user to control and operate the system through the interactive platform module, the image acquisition module is connected to an image quality control module, the image quality control module controls the acquired image information, and the specific image information control includes lighting, reflection, and focal length.

[0007] Preferably, the image quality control module includes a control module, the control module is connected to a lighting module, the lighting module automatically adjusts the brightness according to the intensity of the light, the lighting module is connected to a reflection control module, the reflection control module adjusts the angle of the light, the reflection control module is connected to a focal length module, the focal length module automatically adjusts the focal length according to the distance between the indentation and the camera.

[0008] Preferably, the control module is designed with a calculation formula including:

[0009] 1. Lighting brightness adjustment formula

[0010] 1. When the ambient light intensity is low:

[0011] L current =L target -k1×(I low -I env )

[0012] 2. When the ambient light intensity is high:

[0013] L current =L target -k2×(I env -I high )

[0014] Where: L current Represents the current brightness value of the lighting module, L target Represents the current light value of the detection target, I envRepresents the current ambient light intensity, k1 and k2 represent the adjustment coefficients.

[0015] Preferably, the design calculation formula in the control module also includes:

[0016] 2. Reflection control angle adjustment formula

[0017]

[0018] Where: θ in represents the incident angle of the light, represents the desired reflection angle (set according to the optimal angle for reducing reflection), Δθ represents the angle adjusted by the reflection control module, and r represents the reflection characteristic coefficient of the reflective material. By adjusting the angle of light, the reflection angle is made close to the desired reflection angle, thereby reducing reflection.

[0019] Preferably, the design calculation formula in the control module also includes:

[0020] 3. Focal length adjustment formula

[0021] 1. Imaging formula:

[0022]

[0023] 2. Adjust the formula:

[0024]

[0025] Where: Δf represents the allowable focal length error range, f nominal Represents the nominal focal length of the camera lens, d object Represents the distance between the indentation and the camera. When the focal length needs to be adjusted, the new focal length value f is calculated. adjusted , and drives the focus module to adjust the lens focus to ensure clear images.

[0026] Preferably, the measurement and analysis module includes an image recognition module, which receives the image acquired by the image acquisition module, and uses image recognition technology to identify the indentation in the image and calculate the shape parameters of the indentation. The image recognition module is connected to a hardness calculation submodule, which obtains the result based on the indentation data after recognition and comparison and the table parameters; and different tables are set according to different materials. For details, please refer to Figure 3-Figure 10 The hardness machine operator module is connected to a solution storage module, in which standard indentation values ​​of different materials are stored. The hardness machine operator module is connected to a conclusion module, and the judgment conclusion is transmitted to the conclusion module.

[0027] Preferably, the specific hardness value reference tables in the hardness calculation submodule include: Table 1 Brinell hardness values ​​of steel in natural or annealed state; Table 2 Brinell hardness values ​​of steel in refined quenching and tempering state; Table 3 Brinell hardness values ​​of cast iron.

[0028] Preferably, the specific hardness value reference table in the hardness calculation submodule also includes: Table 4 Brinell hardness value of brass castings; Table 5 Brinell hardness value of rolled brass; Table 6 Brinell hardness value of rolled copper.

[0029] Preferably, the specific hardness value reference table in the hardness calculation submodule also includes: Table 7 Brinell hardness values ​​of tin bronze alloys; Table 8 Brinell hardness values ​​of aluminum alloy castings.

[0030] Preferably, the conclusion module includes a compliance module and a non-compliance module. When the conclusion complies with the standard, the compliance module is started to prompt the staff that the test has passed. When the conclusion does not comply with the standard, the non-compliance module is started to prompt the staff that the test has failed.

[0031] The present invention provides an automatic measurement system for a hammer-type Brinell hardness tester. It has the following beneficial effects:

[0032] 1. The present invention avoids the influence of human factors such as visual error and different proficiency in the use of measuring tools on the measurement accuracy during manual measurement through the collaborative work of the image acquisition module and the measurement analysis module. The handheld camera collects the indentation image, and the image recognition module uses advanced image recognition technology to accurately identify the indentation. Compared with manual reading of the measuring tool value, it can obtain the indentation shape parameters more accurately, reducing the errors caused by problems such as observation angle and inaccurate focus.

[0033] 2. In the process of image acquisition, the present invention adjusts the illumination, reflection and focal length respectively through the calculation formula set in the control module, which not only ensures the accuracy of the adjustment, but also provides a strong guarantee for the image recognition module to accurately identify the indentation and calculate the shape parameters, thereby improving the accuracy and reliability of the measurement of the entire system.

[0034] 3. The present invention combines the Brinell hardness calculation formula with multiple considerations through the hardness calculation submodule, such as the classic formula, the average formula for multiple measurements, and the calculation formula for material anisotropy, to more accurately calculate the hardness value according to different situations. For materials with special properties or measurement scenarios that require high precision, these formulas can better adapt, further improve the accuracy of the measurement results, and make the hardness measurement data more reliable. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 is a system flow chart of the present invention;

[0036] Figure 2 is a flow chart of the image quality control module of the present invention;

[0037] Figure 3 It is a schematic diagram of the Brinell hardness value table of steel in the natural or annealed state of the present invention;

[0038] Figure 4 It is a schematic diagram of the Brinell hardness value table of the steel in the refining, quenching and tempering state of the present invention;

[0039] Figure 5 It is a schematic diagram of the Brinell hardness value table of the cast iron of the present invention;

[0040] Figure 6 A schematic diagram of a table showing the Burrard hardness values ​​of a brass casting of the present invention;

[0041] Figure 7 A schematic diagram of the Brinell hardness value table of rolled brass of the present invention;

[0042] Figure 8 It is a schematic diagram of the Brinell hardness value table of the ground copper of the present invention;

[0043] Fig. 9 A schematic diagram of a Brinell hardness value table of the tin bronze alloy of the present invention;

[0044] Fig.10 It is a schematic diagram of the Brinell hardness value table of the aluminum alloy casting of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Example:

[0047] Please see attached Figure 1 - Attachment Fig.10An embodiment of the present invention provides an automatic measurement system for a hammer-type Brinell hardness tester, including an image acquisition module, wherein the image acquisition module includes a handheld camera, wherein the image acquisition module acquires a detection image by video and photographing, and transmits the detection image to a measurement and analysis module, wherein the image acquisition module is connected to a measurement and analysis module, wherein the measurement and analysis module receives the detection image acquired from the image acquisition module, and compares the image content with the solution standard to determine whether the production standard is met, and transmits the judgment conclusion to a conclusion module, wherein the measurement and analysis module is connected to a conclusion module, wherein the conclusion module receives the result given by the measurement and analysis module, and transmits the result to an interactive platform module, wherein the conclusion module is connected to an interactive platform module, wherein the interactive platform module provides an interactive platform for the system and the user, so that the user can control and operate the system through the interactive platform module.

[0048] The image acquisition module is connected to an image quality control module, and the image quality control module controls the acquired image information, and the specific image information control includes lighting, reflection, and focal length; the image quality control module includes a control module, and a calculation formula is designed in the control module;

[0049] The specific calculation formula is:

[0050] 1. Lighting brightness adjustment formula

[0051] 1. When the ambient light intensity is low:

[0052] L current =L target -k1×(I low -I env )

[0053] 2. When the ambient light intensity is high:

[0054] L current =L target -k2×(I env -I high )

[0055] Where: L current Represents the current brightness value of the lighting module, L target Represents the current light value of the detection target, I env Represents the current ambient light intensity, k1 and k2 represent the adjustment coefficients;

[0056] 2. Reflection control angle adjustment formula

[0057]

[0058] Where: θ in represents the incident angle of the light, represents the desired reflection angle (set according to the optimal angle for reducing reflection), Δθ represents the angle adjusted by the reflection control module, and r represents the reflection characteristic coefficient of the reflective material. By adjusting the light angle, the reflection angle is made close to the desired reflection angle, thereby reducing reflection;

[0059] 3. Focal length adjustment formula

[0060] 1. Imaging formula:

[0061]

[0062] 2. Adjust the formula:

[0063]

[0064] Where: Δf represents the allowable focal length error range, f nominal Represents the nominal focal length of the camera lens, d object Represents the distance between the indentation and the camera. When the focal length needs to be adjusted, the new focal length value f is calculated. adjusted , and drive the focus module to adjust the lens focus to ensure clear images;

[0065] The control module is connected to a lighting module, which provides suitable lighting conditions for the image acquisition module and automatically adjusts the brightness according to the intensity of the light. The lighting module is connected to a reflection control module, which adjusts the angle of light through an algorithm to reduce the impact of reflection on image quality. The reflection control module is connected to a focal length module, which automatically adjusts the focal length according to the distance between the indentation and the camera to ensure the clarity and accuracy of the image.

[0066] The measurement and analysis module includes an image recognition module, which receives the image acquired by the image acquisition module, and uses image recognition technology to identify the indentation in the image and calculate the shape parameters of the indentation. The image recognition module is connected to a hardness calculation submodule, which accurately calculates the hardness value of the measured object based on the indentation data after recognition and comparison and the results obtained according to the table parameters. At the same time, it can also take into account the influence of factors such as different materials and different measurement conditions on the hardness calculation to ensure the accuracy of the calculation results;

[0067] The specific calculation method in the hardness calculation submodule is to obtain the result by looking up a table;

[0068] Different tables are set according to different materials. Please refer to Figure 3-Figure 10 ;

[0069] They are:

[0070] Table-1 Brinell hardness values ​​of steel in natural or annealed state;

[0071] Table-2 Brinell hardness values ​​of steel in the state of refining, quenching and tempering;

[0072] Table-3 Brinell hardness values ​​of cast iron;

[0073] Table-4 Blooms hardness values ​​of brass castings;

[0074] Table-5 Brinell hardness values ​​of rolled brass;

[0075] Table-6 Brinell hardness value of rolled copper;

[0076] Table-7 Brinell hardness values ​​of tin bronze alloys;

[0077] Table-8 Brinell hardness values ​​of aluminum alloy castings;

[0078] The hardness machine operator module is connected to a solution storage module, which stores standard indentation values ​​of different materials to further improve the adaptability of the device. The hardness machine operator module is connected to the conclusion module and transmits the judgment conclusion to the conclusion module.

[0079] The conclusion module includes a standard compliance module and a standard non-compliance module. When the conclusion complies with the standard, the standard compliance module is activated to prompt the staff that the test has passed. When the conclusion does not comply with the standard, the standard non-compliance module is activated to prompt the staff that the test has failed.

[0080] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A hammer-type Brinell hardness tester automatic measurement system, characterized in that: The system comprises an image acquisition module, wherein the image acquisition module comprises a handheld camera, wherein the image acquisition module acquires detection images by means of video and photographing, and transmits the detection images to the measurement and analysis module, wherein the image acquisition module is connected with a measurement and analysis module, wherein the measurement and analysis module receives the detection images acquired from the image acquisition module, and compares the image contents with the scheme standards, determines whether the production standards are met, and transmits the judgment conclusion to the conclusion module, wherein the measurement and analysis module is connected with a conclusion module, wherein the conclusion module receives the results given by the measurement and analysis module, and transmits the results to the interactive platform module, wherein the conclusion module is connected with an interactive platform module, wherein the interactive platform module provides an interactive platform for the system and the user, so that the user can control and operate the system through the interactive platform module, wherein the image acquisition module is connected with an image quality control module, wherein the image quality control module controls the acquired image information, and the specific image information control includes illumination, reflection, and focal length.

2. The automatic measurement system of a hammer-type Brinell hardness tester according to claim 1 is characterized in that: The image quality control module includes a control module, the control module is connected to a lighting module, the lighting module automatically adjusts the brightness according to the intensity of the light, the lighting module is connected to a reflection control module, the reflection control module adjusts the angle of the light, the reflection control module is connected to a focal length module, the focal length module automatically adjusts the focal length according to the distance between the indentation and the camera.

3. The automatic measurement system of a hammer-type Brinell hardness tester according to claim 2 is characterized in that: The design calculation formula in the control module includes:

1. Lighting brightness adjustment formula 1. When the ambient light intensity is low: L current =L target -k1×(I low -I env 2. When the ambient light intensity is high: L current =L target -k2×(I env -I high ) Where: L current Represents the current brightness value of the lighting module, L target Represents the current light value of the detection target, I env Represents the current ambient light intensity, k1 and k2 represent the adjustment coefficients.

4. The automatic measurement system of a hammer-type Brinell hardness tester according to claim 2 is characterized in that: The design calculation formula in the control module also includes:

2. Reflection control angle adjustment formula Where: θ in represents the incident angle of the light, represents the desired reflection angle (set according to the optimal angle for reducing reflection), Δθ represents the angle adjusted by the reflection control module, and r represents the reflection characteristic coefficient of the reflective material. By adjusting the angle of light, the reflection angle is made close to the desired reflection angle, thereby reducing reflection.

5. The automatic measurement system of a hammer-type Brinell hardness tester according to claim 2 is characterized in that: The design calculation formula in the control module also includes:

3. Focal length adjustment formula 1. Imaging formula:

2. Adjust the formula: Where: Δf represents the allowable focal length error range, f nominal Represents the nominal focal length of the camera lens, d object Represents the distance between the indentation and the camera. When the focal length needs to be adjusted, the new focal length value f is calculated. adjusted , and drives the focus module to adjust the lens focus to ensure clear images.

6. The automatic measurement system of a hammer-type Brinell hardness tester according to claim 1, characterized in that: The measurement and analysis module includes an image recognition module, which receives the image acquired by the image acquisition module, and uses image recognition technology to identify the indentation in the image and calculate the shape parameters of the indentation. The image recognition module is connected to a hardness calculation submodule, which obtains the result according to the indentation data after recognition and comparison and the table parameters; and different tables are set according to different materials, please refer to Figures 3 to 10 for details; The hardness machine operator module is connected to a solution storage module, in which standard indentation values ​​of different materials are stored. The hardness machine operator module is connected to a conclusion module and transmits the judgment conclusion to the conclusion module.

7. The automatic measurement system of a hammer-type Brinell hardness tester according to claim 6 is characterized in that: The specific hardness value reference tables in the hardness calculation submodule include: Table 1 Brinell hardness values ​​of steel in natural or annealed state; Table 2 Brinell hardness values ​​of steel in refined quenching and tempering state; Table 3 Brinell hardness values ​​of cast iron.

8. The automatic measurement system of a hammer-type Brinell hardness tester according to claim 6, characterized in that: The specific hardness value reference tables in the hardness calculation submodule also include: Table 4 Brinell hardness values ​​of brass castings; Table 5 Brinell hardness values ​​of rolled brass; Table 6 Brinell hardness values ​​of rolled copper.

9. The automatic measurement system of a hammer-type Brinell hardness tester according to claim 6, characterized in that: The specific hardness value reference table in the hardness calculation submodule also includes: Table-7 Brinell hardness value of tin bronze alloy; Table-8 Brinell hardness value of aluminum alloy castings.

10. The automatic measurement system of a hammer-type Brinell hardness tester according to claim 1, characterized in that: The conclusion module includes a standard compliance module and a standard non-compliance module. When the conclusion complies with the standard, the standard compliance module is activated to prompt the staff that the test has passed. When the conclusion does not comply with the standard, the standard non-compliance module is activated to prompt the staff that the test has failed.

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