Angular detection device and detection method thereof
By designing an angular detection device for aggregates, using laser scanning and data processing technology to directly calculate the edge angle of aggregate particles, the problem of inaccurate angular evaluation in the prior art is solved, and more accurate angular evaluation and aggregate quality control are achieved.
Patent Information
- Application Number
- CN202411913616.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-24
- Publication Date
- 2025-03-18
AI Technical Summary
The prior art is difficult to directly detect the edge angle of aggregate particles, and it is impossible to accurately obtain the particle shape characteristics, resulting in inaccurate evaluation of edge angularity.
An angular detection device is designed, including a mounting bracket, a funnel, a laser scanning assembly and a data processing assembly. The laser scanning component scans outgoing material particles to obtain their contour image data. The data processing component calculates the edge angle of the particles and evaluates their edge angles.
By directly obtaining the shape characteristics of aggregate particles, the angularity of aggregates can be more accurately reflected, the interference due to factors such as grading and density can be reduced, more accurate angularity evaluation can be provided, and higher quality aggregate quality control can be supported.
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Figure CN119643419A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of angularity detection, and in particular to an angularity detection device and a detection method thereof. Background Art
[0002] The angularity of aggregate is evaluated according to the test method in the highway engineering aggregate test procedure. The existing methods for determining the angularity of aggregate are mainly the gap ratio method and the flow time method. Both the gap ratio method and the flow time method are indirect evaluations of the angularity of aggregate, and cannot directly obtain the shape characteristics of aggregate particles. It is difficult to accurately and comprehensively evaluate the impact of aggregate angularity on the performance of asphalt mixtures. At the same time, during the test process, there are inevitable subjective factors and operational errors in manual operation itself, making it difficult to achieve high-precision synchronous control.
[0003] The principle of the interstitial ratio method is to evaluate the angularity of aggregates by measuring the loose void ratio formed when the aggregates are piled up. The core principle is that factors such as the shape, surface texture and gradation of aggregate particles will affect the distribution and size of the voids between particles when the aggregates are piled up. The advantage is that it can reflect the angularity of aggregates to a certain extent; however, due to the differences in particle size distribution and the fluctuations in the relative density of the bulk volume, it cannot accurately reflect the details of the particle shape.
[0004] The flow time method is usually called the flow coefficient determination method. Its principle is based on indirect inference of flow characteristics. The flow time method evaluates the angularity by measuring the flow time of aggregates in a specific device; however, the flow time of aggregates is affected by many factors, not just the angularity. Summary of the invention
[0005] The technical problem to be solved by the present invention is to provide a detection device and a detection method which can directly detect the angularity of aggregate particles, directly obtain the shape characteristics of particles, and more accurately and intuitively evaluate the angularity of aggregates.
[0006] In order to solve the above technical problems, the present invention provides an angularity detection device in the first aspect, comprising: a mounting bracket; a funnel, fixed to the mounting bracket, and the material to be detected is placed in the funnel; a laser scanning component, fixed to the mounting bracket, and the laser scanning component is located below the discharge port of the funnel; a data processing component, connected to the laser scanning component; when the material in the funnel flows out from the discharge port and passes through the laser scanning component, the laser scanning component scans the material and obtains contour image data of the material particles.
[0007] As an improvement of the above-mentioned solution, the laser scanning assembly includes: a support plate fixed to the mounting bracket, a feed opening provided on the support plate, and the feed opening is located below the discharge port; a light-emitting unit arranged in a ring around the feed opening; and a laser scanner fixed to the support plate, with the scanning end of the laser scanner facing the feed opening.
[0008] As an improvement of the above-mentioned scheme, the data processing component includes a controller, which includes: a verification module, used to verify the received material particle contour graphic data; a preprocessing module, used to preprocess the received material particle contour graphic data; a calculation module, used to calculate the angularity of the material particles; a post-processing module, used to post-process the angularity data of the material particles; an evaluation module, used to evaluate the angularity of the material particles based on the statistical data obtained from the post-processing and in combination with the set evaluation criteria.
[0009] As an improvement of the above solution, the calculation module includes: a statistical unit for obtaining the angle value of each contour of the material particle; and a value obtaining unit for finding the minimum value of the angle value of each contour in the material particle as the edge angle of the material particle.
[0010] In a second aspect, the present invention provides a detection method of an angularity detection device, comprising the following steps:
[0011] Pour the material to be tested into the funnel and let it fall from the discharge port;
[0012] Start the laser scanning component to scan the material falling into the scanning area and collect the particle profile graphic data of the material;
[0013] The laser scanning component transmits the collected particle contour graphic data to the data processing component, and the data processing component calculates the angularity data of the material to obtain the judgment result of the angularity of the material.
[0014] As an improvement of the above solution, the specific steps of calculating the angularity data of the material through the data processing component to obtain the determination result of the angularity of the material are as follows:
[0015] Verifying the received particle profile graphic data;
[0016] Preprocessing the received particle contour graphic data;
[0017] Calculate the edge angle of material particles;
[0018] Post-process the angular data;
[0019] Based on the statistical data obtained from post-processing and combined with the set evaluation criteria, the angularity of aggregate is evaluated.
[0020] As an improvement of the above solution, the specific steps of verifying the received particle contour graphic data are as follows:
[0021] A cyclic redundancy check algorithm is used to check and calculate the received particle contour graphic data, and compare it with the check code sent by the laser scanning component to ensure accurate data transmission.
[0022] As an improvement of the above solution, the specific steps of preprocessing the received particle contour graphic data are as follows:
[0023] Arrange the angle data of multiple material particles collected continuously in order of size, and take the particles with the middle angle data as the valid particles for the next calculation.
[0024] As an improvement of the above solution, the method of calculating the edge angle of the material particles includes the following steps:
[0025] Obtain the angle value of each contour of the effective particle through the data component;
[0026] Compare the angle values and find the minimum value as the edge angle of the effective particle.
[0027] As an improvement to the above scheme, the specific steps of post-processing the edge angle data are as follows:
[0028] Statistical analysis of the edge angle of each particle;
[0029] Calculate the average value of the edge angles;
[0030] The maximum and minimum values of the angularity are recorded in order to assess the range of angularity distribution of the aggregate sample.
[0031] The beneficial effects of implementing the present invention are:
[0032] An angularity detection device in the present invention, by setting a laser scanning component, can directly obtain the particle shape characteristics of aggregate by laser scanning. Compared with the existing indirect evaluation method, it can more accurately reflect the angularity of aggregate. By calculating the angularity through high-precision laser scanning and accurate image processing algorithm, it can provide a more accurate angularity evaluation, more comprehensively understand the various data of aggregate angularity, and provide richer information for aggregate quality control.
[0033] The present invention discloses a detection method for an angularity detection device, which directly obtains the particle shape characteristics of aggregates through laser scanning, directly obtains the vertical plane angle of the aggregate particle surface, defines the minimum value of the vertical plane angle of the aggregate surface as the angularity angle, and evaluates the angularity through the angularity angle. The laser angle sensor is used to measure multi-angle data when the aggregate falls, and the particle shape characteristics can be directly obtained, which overcomes the shortcomings of the gap ratio method being affected by grading and the indirect evaluation of the flow time method. Compared with the existing indirect evaluation method, it can more accurately reflect the angularity of aggregates; reduce the interference of factors such as grading and density on the angularity evaluation; and more comprehensively understand the various data of aggregate angularity, providing richer information for aggregate quality control. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] Figure 1 is a schematic structural diagram of an angularity detection device in this embodiment;
[0035] Figure 2 It is a process flow chart of a detection method of an angularity detection device in this embodiment.
[0036] The reference numerals are as follows: 100, mounting bracket; 200, funnel; 210, discharge port; 310, support plate; 320, light emitting unit; 330, laser scanner; 410, controller; 420, display; 500, collection basin. DETAILED DESCRIPTION
[0037] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings.
[0038] In this embodiment, the material that needs to be tested for angularity is aggregate. By measuring the angularity of aggregate particles, the influence of their shape and surface characteristics on the performance of the mixture can be evaluated; the anti-slip ability, interlocking effect and adhesion to asphalt of the aggregate can be understood, thereby providing a reliable basis for engineering design and construction; as the scale of highway engineering construction continues to expand, there is an urgent need for high-quality aggregates. The shortcomings of existing detection methods have prompted the industry to seek more accurate angularity detection technology to ensure aggregate quality and meet the needs of high-performance asphalt mixtures; the detection device and detection method in this embodiment can be widely used in highway engineering aggregate production, quality inspection and other links.
[0039] See also Figure 1 , Figure 1 is a schematic diagram of the structure of an angularity detection device in this embodiment. Figure 1The device comprises: a mounting bracket 100; a funnel 200, fixed to the mounting bracket 100, and the aggregate to be detected is placed in the funnel 200; a laser scanning component, fixed to the mounting bracket 100, and the laser scanning component is located below the discharge port 210 of the funnel 200; a data processing component, connected to the laser scanning component; when the aggregate in the funnel 200 flows out from the discharge port 210 and passes through the laser scanning component, the laser scanning component scans the aggregate and obtains the contour image data of the aggregate particles, and transmits the contour image data to the data processing component, and constructs a three-dimensional model of the aggregate particles through the data processing component to analyze the angularity data of the aggregate. By setting the laser scanning component, the particle shape characteristics of the aggregate can be directly obtained by laser scanning, which can more accurately reflect the angularity of the aggregate than the existing indirect evaluation method, and can provide more accurate angularity evaluation by calculating the angularity angle through high-precision laser scanning and accurate image processing algorithm, and more comprehensive understanding of the uniformity of the angularity of the aggregate can be provided for aggregate quality control. More abundant information.
[0040] Furthermore, the detection device also includes a collection basin 500, which is arranged below the laser scanning assembly and is used to collect fallen aggregates.
[0041] Specifically, in this embodiment, the laser scanning assembly includes: a support plate 310, fixed to the mounting bracket 100, a feed opening is provided on the support plate 310, and the feed opening is located below the discharge port 210; a light emitting unit 320 is arranged in a ring around the feed opening; a laser scanner 330, fixed to the support plate 310, and the scanning end of the laser scanner 330 faces the feed opening. The light emitting unit 320 provides uniform and stable light to ensure that the aggregate particles can be clearly imaged during the falling process; the laser scanner 330 is a high-speed laser scanner 330, which can quickly obtain the distance information of each point on the surface of the aggregate particles, and its measurement accuracy reaches 0.1mm, and the scanning angle range is 0-360°, which can be rotated 0-360° in the horizontal direction, and the angle range of the vertical direction is adjusted to 0-90°, so as to accurately scan aggregate particles of different shapes and falling postures. The laser scanner 330 is used to measure multi-angle data when the aggregate falls, which can directly obtain the particle shape characteristics, overcoming the shortcomings of the gap ratio method being affected by grading and the flow time method being indirect evaluation; it can accurately measure the edge angles driven by irregular aggregates, overcoming the technical problem that existing methods are difficult to accurately evaluate.
[0042] Furthermore, the feed opening is circular, and the light emitting unit 320 is arranged on the inner wall of the feed opening, and stable light is provided by the light emitting unit 320. In other embodiments, the feed opening can also be rectangular, elliptical or square, but the circular design in this embodiment can provide more uniform light.
[0043] Furthermore, the light emitting unit 320 may be an LED lamp, a fluorescent lamp, or an incandescent lamp.
[0044] Furthermore, the laser scanner 330 is provided with a plurality of scanning parts, and the scanning parts are arranged in a ring outside the feed port. Lasers are emitted by the scanning parts to measure the angles of particles from different positions.
[0045] Specifically, in this embodiment, the data processing component includes: a controller 410 and a display 420, wherein the controller 410 is integrated with a processor; a storage module connected to the processor and used to store data; a communication interface module, wherein the processor is connected to the laser scanner 330 via the communication interface module; and the display 420 is connected to the processor and used to display data processing results.
[0046] Furthermore, the processor is an ARM Cortex-M4 series microprocessor, which has powerful computing power and efficient instruction execution efficiency, and can meet the needs of real-time processing of laser high-speed scanning acquisition data and rapid calculation of angles. In other embodiments, the processor can also be an STM32F4 series chip, which integrates advanced DSP (digital signal processing instruction set) and FPU (hardware floating-point unit), and can complete complex angle calculation and data processing tasks in a relatively short time.
[0047] Furthermore, the storage module includes a RAM memory (random access memory) and a Flash memory (flash memory). The RAM memory is used to store data when the program is running, such as angle data collected in real time by laser high-speed scanning, intermediate variables in the calculation process, etc. According to the needs of data processing, the selected capacity of the RAM memory is 64KB to 256KB to ensure that the program will not be stuck or data will not be lost due to insufficient memory during data processing. The Flash memory is used to store program code and long-term stored test data, such as statistical data such as the average, maximum, and minimum values of the edge angles of multiple batches of aggregates; the Flash memory capacity can be selected from 512KB to 2MB to meet the needs of storing programs and large amounts of test data.
[0048] Furthermore, the communication interface module includes a plurality of SPI interfaces and UART interfaces. The SPI interface is used for high-speed data communication with the laser scanner 330, so as to realize the processor's control of the sensor and data reading. The UART interface is used for communication connection with other devices (such as a host computer) so as to transmit the detection data to the host computer for further analysis and processing, and also can receive control instructions sent by the host computer, such as equipment calibration parameters, detection parameter settings, etc. Specifically, the SPI interface communicates with the laser high-speed scanning, and according to a specific communication protocol, the microprocessor sends an acquisition instruction to the sensor, and the sensor transmits the measured angle data to the processor at a high rate.
[0049] Specifically, in this embodiment, the controller includes: a verification module, which is used to verify the received material particle contour graphic data; a preprocessing module, which is used to preprocess the received material particle contour graphic data; a calculation module, which is used to calculate the angularity of the material particles; a post-processing module, which is used to post-process the angularity data of the material particles; and an evaluation module, which is used to evaluate the angularity of the material particles based on the statistical data obtained by the post-processing and in combination with the set evaluation criteria.
[0050] Furthermore, the calculation module includes: a statistical unit for obtaining the angle value of each contour of the material particles; and a value obtaining unit for finding the minimum value of the angle value of each contour in the material particles as the edge angle of the material particles.
[0051] Furthermore, the funnel 200 is detachably mounted on the mounting bracket 100 , and by selecting funnels 200 with different specifications of inclination angles below, the falling speed and angle can be changed according to the aggregate characteristics, thereby assisting in more accurate measurement.
[0052] From the above, it can be seen that an angularity detection device in the present invention, by setting a laser scanning component, can directly obtain the particle shape characteristics of the aggregate through laser scanning, which can more accurately reflect the angularity of the aggregate than the existing indirect evaluation method. By calculating the angularity through high-precision laser scanning and accurate image processing algorithms, it can provide a more accurate angularity evaluation, a more comprehensive understanding of the various data of the aggregate angularity, and provide richer information for aggregate quality control.
[0053] See also Figure 2 , Figure 2 is a process flow chart of a detection method of an angularity detection device in this embodiment, such as Figure 2 As shown, in a second aspect, this embodiment provides a detection method of an angularity detection device, comprising the following steps:
[0054] S1: pouring the aggregate sample to be tested into the funnel 200, and allowing the aggregate to fall from the discharge port 210;
[0055] Specifically, the shrunken aggregate sample is slowly poured into the upper opening of the funnel 200 to ensure that the aggregate particles can fall naturally and smoothly one by one to avoid clogging the funnel 200.
[0056] S2: Start the laser scanning component to scan the aggregate falling into the scanning area and collect the particle contour graphic data of the aggregate;
[0057] Specifically, the laser scanning component and the data processing component are started. When the aggregate particles pass through the scanning area of the discharge port, the laser scanning component quickly collects the particle contour image, and the data processing component calculates the edge angle in real time. The scanning and calculation speed can meet the normal falling speed of the aggregate, ensuring that each particle is scanned and the edge angle calculation is completed before falling.
[0058] S3: The laser scanning component transmits the collected particle contour graphic data to the data processing component, and the data processing component calculates the angularity data of the aggregate to obtain the determination result of the angularity of the aggregate.
[0059] Specifically, the specific steps of calculating the angularity data of aggregate through the data processing component and obtaining the determination result of the angularity of aggregate are: verifying the received particle contour graphic data through the verification module; preprocessing the received particle contour graphic data through the preprocessing module; calculating the angularity of aggregate particles through the calculation module; post-processing the angularity data through the post-processing module; evaluating the angularity of aggregate according to the statistical data obtained through the post-processing and the set evaluation criteria through the evaluation module, and displaying the data analysis results and the determination results on the display 420.
[0060] Furthermore, the specific steps for verifying the received particle contour graphic data are as follows: a cyclic redundancy check algorithm is used to perform verification calculations on the received particle contour graphic data, and the data is compared with the verification code sent by the laser scanning component to ensure accurate data transmission; if an error is found during the verification, a retransmission request is immediately sent to the laser scanner 330 to ensure data integrity.
[0061] Furthermore, the specific steps of preprocessing the received particle contour graphic data are as follows: the angle data of multiple aggregate particles collected continuously are arranged in order of size, and the particles with the middle angle data are taken as valid particles for the next step of calculation. Preprocessing can smooth data fluctuations and improve data stability and reliability.
[0062] Furthermore, the specific steps for calculating the edge angle of the aggregate particles are as follows: obtain the angle value of each contour of the effective particle through the data processing component; compare the angle values, and find the minimum value as the edge angle of the effective particle. The specific implementation method is: assuming that there are n laser high-speed scanning data on a particle, the angle values measured are θ1, θ2, ... θn. By comparing these angle values, find the minimum value as the edge angle θmin of the particle, that is, θ(min) = min(θ1, θ2, ... θn). During the calculation process, an efficient sorting algorithm is used to sort the angle values to quickly determine the minimum value, reduce the calculation time, and meet the requirements of real-time detection.
[0063] Furthermore, the specific steps of post-processing the edge angle data are as follows: statistically analyzing the edge angle of each particle; calculating the average value of the edge angle; and recording the maximum and minimum values of the edge angle to evaluate the edge angle distribution range of the aggregate sample.
[0064] Furthermore, when post-processing the edge angle data, the controller 410 processes the calculated edge angle data in real time, including removing outliers, calculating dynamic averages and standard deviations, etc., and stores the processed data.
[0065] Furthermore, the specific implementation method of removing outliers is to identify and process outliers according to the triple standard deviation method. For sample batches with a large number of outliers, analyze the reasons, such as whether there are impurities in the samples, whether the equipment has a temporary failure, etc., and take corresponding measures, such as re-sampling, repairing equipment, etc.
[0066] Furthermore, according to the statistical data obtained by post-processing and the set evaluation criteria, the specific steps for evaluating the angularity of aggregates are as follows: set the threshold range of angularity corresponding to different grades of asphalt mixtures, and when the test results are within the corresponding range, the angularity of the aggregates is judged to meet the requirements. For aggregates used in asphalt pavement of highways, the angularity can be judged to be good if the average angularity is within the range of >90° (this range is a hypothesis and needs to be further determined based on actual test data).
[0067] Furthermore, before S1, debugging is required, and the specific steps are as follows: install the funnel 200 vertically on a stable bracket, use a level to ensure that the funnel 200 is in a vertical state, and the vertical error is controlled within ±0.5°. Install the laser scanning component at a suitable position below the funnel 200, and adjust the brightness and angle of the ring light source so that the light is evenly irradiated on the aggregate falling path. Calibrate the focal length and shooting angle of the camera on the laser scanner 330 to ensure that the outline of the aggregate particles can be clearly captured. Connect the laser scanning component to the data processing unit to ensure stable and reliable data transmission. Install and start the data processing component to debug the entire equipment. Use a standard-shaped specimen for testing, compare the calculated edge angle with the actual value, and control the error within ±5% to ensure the normal operation and detection accuracy of the equipment. After completing the above debugging, pour in the aggregate to start the test.
[0068] As can be seen from the above, a detection method of an angularity detection device in the present invention directly obtains the particle shape characteristics of the aggregate through laser scanning, directly obtains the vertical plane angle of the aggregate particle surface, defines the minimum value of the vertical plane angle of the aggregate surface as the angularity angle, and evaluates the angularity through the angularity angle. The laser angle sensor is used to measure multi-angle data when the aggregate falls, which can directly obtain the particle shape characteristics, overcome the shortcomings of the gap ratio method being affected by grading and the indirect evaluation of the flow time method. Compared with the existing indirect evaluation method, it can more accurately reflect the angularity of the aggregate; reduce the interference of factors such as grading and density on the angularity evaluation; and more comprehensively understand the various data of the aggregate angularity, providing richer information for aggregate quality control.
[0069] The angularity of aggregate is tested in conjunction with specific embodiments below:
[0070] Step 1: Set the judgment value of the average edge angle to 90°, and slowly pour the shrunken aggregate sample into the upper opening of the funnel 200 to ensure that the aggregate particles can fall naturally and smoothly one by one to avoid blockage.
[0071] Step 2: Start the laser scanning component to scan the aggregate falling into the scanning area and collect the particle contour graphic data of the aggregate;
[0072] Step 3: The laser scanning component transmits the collected particle contour graphic data to the data processing component;
[0073] The data processing component uses a cyclic redundancy check algorithm through a verification module to verify and calculate the received particle profile graphic data, and compares it with the verification code sent by the laser scanning component to ensure accurate data transmission;
[0074] The data processing component arranges the angle data of multiple aggregate particles collected continuously in order of size through the preprocessing module, and takes the particles with the middle angle data as the effective particles for the next calculation.
[0075] The calculation module of the data processing component obtains the angle value of each contour of the effective particle; compares the angle values, and finds the minimum value as the edge angle of the effective particle. The detected edge angle values are shown in Table 1 below:
[0076]
[0077] From the above, it can be seen that, after statistics, the average value of the edge angle in this embodiment is 97.75°, which is greater than the judgment value of 90°. Therefore, there are fewer sharp angles in the aggregate of this batch, and the angularity of the aggregate is good.
[0078] In summary, the present invention can accurately evaluate the angularity of aggregates, the test results have high reliability and authenticity, the evaluation standard of the angularity of aggregates can be clearly defined, and the performance of aggregates in practical applications can be accurately judged.
[0079] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.
Claims
1. An angularity detection device, characterized in that: include: Mounting bracket; A funnel is fixed to the mounting bracket, and the material to be tested is placed in the funnel; A laser scanning assembly is fixed to the mounting bracket, and the laser scanning assembly is located below the discharge port of the funnel; A data processing component connected to the laser scanning component; When the material in the funnel flows out from the discharge port and passes through the laser scanning assembly, the laser scanning assembly scans the material and obtains contour image data of the material particles.
2. The angularity detection device according to claim 1, characterized in that: The laser scanning assembly comprises: A support plate is fixed to the mounting bracket, and a feed opening is provided on the support plate, and the feed opening is located below the discharge opening; A light-emitting unit is arranged in a ring around the feeding opening; A laser scanner is fixed on the support plate, and a scanning end of the laser scanner faces the feed opening.
3. The angularity detection device according to claim 2, characterized in that: The data processing component includes a controller, and the controller includes: A verification module, used for verifying the received material particle profile graphic data; A preprocessing module, used for preprocessing the received material particle profile graphic data; Calculation module, used to calculate the edge angle of material particles; A post-processing module is used to post-process the angle data of material particles; The evaluation module is used to evaluate the angularity of material particles based on the statistical data obtained from post-processing and the set evaluation criteria.
4. The angularity detection device according to claim 3, characterized in that: The calculation module comprises: A statistical unit is used to obtain the angle value of each contour of the material particles; The value-taking unit is used to find the minimum value of the angle value of each contour in the material particle as the edge angle of the material particle.
5. A detection method of an angularity detection device, characterized in that: The following steps are involved: Pour the material to be tested into the funnel and let it fall from the discharge port; Start the laser scanning component to scan the material falling into the scanning area and collect the particle profile graphic data of the material; The laser scanning component transmits the collected particle contour graphic data to the data processing component, and the data processing component calculates the angularity data of the material to obtain the judgment result of the angularity of the material.
6. The detection method of the angularity detection device according to claim 5, characterized in that: The specific steps of calculating the angularity data of the material through the data processing component to obtain the determination result of the angularity of the material are as follows: Verifying the received particle profile graphic data; Preprocessing the received particle contour graphic data; Calculate the edge angle of material particles; Post-process the angular data; The angularity of aggregate is evaluated based on the statistical data obtained from post-processing and the set evaluation criteria.
7. A detection method for an angularity detection device according to claim 6, characterized in that: The specific steps of verifying the received particle contour graphic data are as follows: A cyclic redundancy check algorithm is used to check and calculate the received particle contour graphic data, and compare it with the check code sent by the laser scanning component to ensure accurate data transmission.
8. The detection method of the angularity detection device according to claim 6, characterized in that: The preprocessing of the received particle outline graphic data comprises the following steps: Arrange the angle data of multiple material particles collected continuously in order of size, and take the particles with the middle angle data as the valid particles for the next calculation.
9. A detection method for an angularity detection device according to claim 8, characterized in that: The specific steps of calculating the edge angle of the material particles are as follows: Obtain the angle value of each contour of the effective particle through the data component; Compare the angle values and find the minimum value as the edge angle of the effective particle.
10. The detection method of an angularity detection device according to claim 6, characterized in that: The specific steps of post-processing the angle data are as follows: Statistical analysis of the edge angle of each particle; Calculate the average value of the edge angles; The maximum and minimum values of the angularity are recorded in order to assess the range of angularity distribution of the aggregate sample.