Aggregate quality high-precision monitoring method and device

Abstract

The invention discloses an aggregate quality high-precision monitoring method and device, and belongs to the technical field of aggregate quality monitoring, and the aggregate quality high-precision monitoring method comprises the following steps: carrying out aggregate sampling on a whole material layer of a production line; carrying out vibration dispersion treatment on the taken aggregate sample; carrying out multi-angle vibration image acquisition on the same batch of aggregate samples, and carrying out collection processing on the acquired images; and processing the collected aggregate image, extracting the maximum length, the minimum length and the projection area of each aggregate, and obtaining gradation information, physical property information and quality information of the aggregate based on geometric information of the aggregate. The real situation of the whole aggregate layer can be reflected more comprehensively, information loss caused by mutual shielding of aggregates is reduced, and the integrity of image information is improved, so that the feature parameters of the aggregates are accurately extracted, the detection error is effectively reduced, the aggregate information is more accurately determined, and the accuracy and reliability of gravel aggregate quality monitoring are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of aggregate quality monitoring, and in particular to a method and device for high-precision monitoring of aggregate quality. Background Art

[0002] With the huge consumption of construction over the past decades, the reserves of high-quality natural sand and gravel have seriously declined. Affected by the quality of raw materials and aggregate production technology, the quality of sand and gravel aggregate products varies. At present, the quality control of aggregates mainly includes manual timed sampling detection and image monitoring and analysis technology. The traditional manual detection method has problems such as low efficiency, small sample size, and strong subjectivity. With the rapid development of digital technology, image monitoring and analysis technology has gradually improved.

[0003] However, the current application of image monitoring technology in the sand and gravel aggregate industry still has great deficiencies. Specifically, in the actual production process, aggregates are not transported in a single layer, but large and small aggregates are stacked on the conveyor belt to form a certain thickness of aggregate layer for transportation. There are significant differences in the quality of aggregates at different depths of the layer. Generally speaking, large-sized and irregular-shaped aggregates are concentrated on the surface of the layer, while spherical and small-sized aggregates are distributed in the middle and lower layers of the layer. Since most of the current image monitoring technologies can only capture the aggregate images on the surface of the production line layer, but cannot penetrate the layer, the analysis results obtained by processing the captured surface aggregate images obviously have large errors. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes a high-precision monitoring method and device for aggregate quality, which can avoid the uneven distribution of aggregates at different material layer depths and the interference caused by the stacking of aggregates, thereby reducing analysis errors and improving the monitoring accuracy of aggregate quality.

[0005] In a first aspect, a high-precision monitoring method for aggregate quality according to an embodiment of the present invention includes: Aggregate sampling is carried out in the entire material layer of the production line; The aggregate samples were subjected to vibration dispersion treatment to reduce the overlap and adhesion between aggregates; Collect multi-angle vibration images of the same batch of aggregate samples and perform grouping processing on the collected images; The aggregate images are processed by threshold segmentation algorithm to separate the aggregate from the background, mark individual aggregates, and extract the maximum length, minimum length, and projection area of ​​each aggregate. Calculate the equivalent radius of each aggregate based on the extracted projection area; Preset the upper and lower limits of aggregate grading and the number of segmentation intervals, calculate the length of the segmentation interval, and count the number of aggregate particles in each interval based on the equivalent radius; Calculate the total mass of sand and gravel aggregates, and determine the aggregate gradation according to the mass proportion of aggregates in each equivalent particle size segmentation interval; Based on the maximum length, minimum length and equivalent radius of each aggregate, the particle shape content and needle-like content of the aggregate are calculated.

[0006] The high-precision monitoring method for aggregate quality according to the embodiment of the present invention has at least the following beneficial effects: sampling the entire material layer of the production line, collecting and grouping images after multi-angle vibration dispersion of the aggregate samples of the same batch, using a threshold segmentation algorithm to process the image, separating the aggregate from the background, extracting the geometric information of the aggregate, and finally obtaining the grading information, physical property information and quality information of the aggregate based on the geometric information of the aggregate. This ensures that the samples taken cover aggregates at different material layer depths, thereby more comprehensively reflecting the true situation of the entire aggregate material layer, avoiding large errors in the analysis results caused by only detecting the surface aggregate, and obtaining aggregate images from multiple angles at the same time, reducing the interference caused by the stacking and adhesion of aggregates on image collection and analysis, reducing the information loss caused by the mutual occlusion of aggregates, improving the integrity of image information, and further improving the accuracy of extracting aggregate characteristic parameters, and improving the accuracy and reliability of sand and gravel aggregate quality monitoring.

[0007] According to some embodiments of the present invention, the sampling method of the belt conveying position is belt drop sampling.

[0008] According to some embodiments of the present invention, the calculation formula for the segmentation interval length is:

[0009] In the formula, is the length of the segmentation interval, is the upper limit of aggregate grading size, is the lower limit of aggregate grading size, and N is the number of division intervals.

[0010] According to some embodiments of the present invention, the calculation formula for the total mass of sand and gravel aggregate is:

[0011] In the formula, is the total mass of aggregate, is the equivalent radius of aggregate, Used to calculate is the volume of a sphere with radius, represents the density of the ith aggregate particle, and n is the aggregate particle count.

[0012] According to some embodiments of the present invention, the calculation formula for the mass proportion of aggregate in each equivalent particle size segmentation interval is:

[0013] In the formula, is the equivalent radius of aggregate, Used to calculate is the volume of a sphere with radius, is the proportion of the aggregate mass in the corresponding segmented interval to the total aggregate mass, m is the aggregate particle count, M is the total aggregate mass, represents the density of the ith aggregate particle.

[0014] According to some embodiments of the present invention, the calculation formula of the particle shape content of the aggregate is:

[0015] In the formula, is the maximum length of a single aggregate particle, is the minimum length of a single aggregate particle, is the equivalent radius of aggregate particles, is the number of samples.

[0016] According to some embodiments of the present invention, the calculation formula of the needle-like content of the aggregate is:

[0017] In the formula, is the equivalent radius of aggregate, Used to calculate is the volume of a sphere with radius, is the maximum length of a single aggregate particle, is the minimum length of a single aggregate particle, j is the aggregate particle count, M is the total mass of aggregate, represents the density of the ith aggregate particle.

[0018] According to the second aspect of the present invention, the high-precision aggregate quality monitoring device is arranged at least at one of the coarse crushing belt transport position, the medium crushing belt transport position, the fine crushing belt transport position and the shipping stockpile position, and includes: a sampling module, which samples aggregate at a preset frequency; a vibration dispersion module, which is built below the sampling module so that the sample taken by the sampling module can fall freely to the vibration dispersion module, and the vibration dispersion module is used to vibrate and disperse the sampled aggregate; an image acquisition module, which is arranged above the vibration dispersion module, and the image acquisition module is used to determine the image area information corresponding to each aggregate sample; an image processing module, which is used to analyze the image area information corresponding to each aggregate sample; a quality monitoring module, which determines the quality information corresponding to each aggregate sample on the production line based on the analysis result of the image processing module.

[0019] According to some embodiments of the present invention, the vibration dispersion module includes a vibration dispersion platform and a control system, the control system is connected to the vibration dispersion platform, and the control system is used to regulate the amplitude, vibration period and vibration frequency of the vibration dispersion platform; The image acquisition module includes a fixing seat, and an industrial camera, a strong blowing device and an enhanced light source arranged on the fixing seat. The shooting surface of the industrial camera is parallel to the vibration dispersion platform. The strong blowing device is used to reduce dust interference, and the enhanced light source is used to enhance the shooting quality of the industrial camera. The image processing module includes an original image collection unit and an image analysis and processing algorithm unit. The original image collection unit is used to collect and classify the aggregate images of the same batch, and the image analysis and processing algorithm unit is used to extract and analyze aggregate features based on the aggregate images.

[0020] According to some embodiments of the present invention, the quality monitoring module includes a real-time monitoring information display unit, an aggregate quality monitoring and early warning unit, and a historical data storage unit. The real-time monitoring information display unit is used to display the monitoring information of aggregate quality in real time, the aggregate quality monitoring and early warning unit is used to monitor the aggregate quality and issue an early warning when an abnormality occurs, and the historical data storage unit is used to store historical monitoring data of aggregate quality.

[0021] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which: Figure 1 It is a schematic diagram of the process of a method for high-precision monitoring of aggregate quality according to an embodiment of the present invention; Figure 2 Schematic diagram of a high-precision monitoring device for aggregate quality according to an embodiment of the present invention; Figure 3 Schematic diagram of aggregate gradation at different material layer depths; Figure 4 Schematic diagram of aggregate gradation at different material layer depths under different screening methods; Figure 5 Schematic diagram of aggregate needle-like content at different material layer depths; Figure 6 This is a comparison chart of the needle-like content analysis of aggregates under different screening methods.

[0023] Reference numerals: Sampling module 100, belt drop sampling unit 110, docking sampling unit 120, automatic mechanical bucket sampling unit 130; Vibration dispersion module 200, vibration dispersion platform 210, control system 220; Image acquisition module 300, fixing base 310, industrial camera 320, strong blowing device 330, enhanced light source 340; Image processing module 400, image analysis and processing algorithm unit 410; Quality detection module 500, real-time monitoring information display unit 510, aggregate quality monitoring and early warning unit 520, historical data storage unit 530; The material pile for delivery is 10 and the belt conveyor is 20. DETAILED DESCRIPTION

[0024] In the description of the present invention, it should be understood that descriptions involving orientations, such as up, down, front, back, left, right, etc., and orientations or positional relationships indicated are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0025] In the description of the present invention, "several" means one or more, "multiple" means more than two, greater than, less than, and exceeding are understood as not including the number itself, and "above", "below", and "within" are understood as including the number itself. If there is a description of "first", "second", etc., it is only used for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0026] In the description of the present invention, unless otherwise clearly defined, words such as “setting”, “installation” and “connection” should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above words in the present invention based on the specific content of the technical solution.

[0027] Please refer to Figure 1 This embodiment discloses a high-precision monitoring method for aggregate quality, comprising: Aggregate sampling is carried out in the entire material layer of the production line; The aggregate samples were subjected to vibration dispersion treatment to reduce the overlap and adhesion between aggregates; Collect multi-angle vibration images of the same batch of aggregate samples and perform grouping processing on the collected images; The aggregate images are processed by threshold segmentation algorithm to separate the aggregate from the background, mark individual aggregates, and extract the maximum length, minimum length, and projection area of ​​each aggregate. Calculate the equivalent radius of each aggregate based on the extracted projection area; Preset the upper and lower limits of aggregate grading and the number of segmentation intervals, calculate the length of the segmentation interval, and count the number of aggregate particles in each interval based on the equivalent radius; Calculate the total mass of sand and gravel aggregates, and determine the aggregate gradation according to the mass proportion of aggregates in each equivalent particle size segmentation interval; Based on the maximum length, minimum length and equivalent radius of each aggregate, the particle shape content and needle-like content of the aggregate are calculated.

[0028] Therefore, aggregate sampling is not limited to the surface layer, but is carried out in the entire material layer of the production line to ensure that the samples taken cover aggregates at different material layer depths, which can more comprehensively reflect the true situation of the entire aggregate material layer and avoid large errors in the analysis results caused by only testing the surface aggregate. The aggregate samples taken are subjected to vibration dispersion treatment to reduce the overlap and adhesion between aggregates, and reduce the interference caused by the stacking and adhesion of aggregates on image acquisition and analysis. At the same time, multi-angle vibration image acquisition is performed on the same batch of aggregate samples to obtain aggregate images from multiple angles, reduce the information loss caused by mutual occlusion of aggregates, and improve the integrity of image information, so as to accurately extract aggregate characteristic parameters, effectively reduce detection errors, more accurately determine aggregate information, and improve the accuracy and reliability of sand and gravel aggregate quality monitoring.

[0029] It should be noted that in the process of classifying the original images, the threshold segmentation algorithm is used to separate the aggregate from the background, mark the individual aggregates, and extract the key features such as the maximum length, minimum length, and projection area of ​​each aggregate, laying the foundation for the subsequent accurate calculation of the equivalent radius, particle shape content, and needle-like content of the aggregate. In the process of image analysis and processing, the equivalent radius is calculated based on the extracted projection area, and the number of aggregate particles in each interval is counted based on the preset size classification parameters. Then, the total mass of the sand and gravel aggregate is calculated and the aggregate grading is determined, and then the particle shape content and needle-like content are calculated based on the length and equivalent radius of the aggregate. This series of precise calculation processes is carried out on the basis of the above-mentioned targeted processing, which can effectively reduce the errors caused by uneven distribution of aggregates and interference from mutual stacking, improve the accuracy of the analysis results, and thus solve the problems of large errors and limited promotion in the actual application of current image monitoring technology.

[0030] In some specific embodiments of the present invention, the full material layer sampling method at the belt conveyor position is belt drop sampling, such as Figure 2As shown, the belt drop sampling unit 110 is located on one side of the belt conveyor 20. It should be noted that the belt drop sampling refers to a sampling method in which a portion of the material passing through the belt drop flow is intercepted as a sample at a certain time or mass interval at the drop point of the belt conveyor. The use of belt drop sampling can more conveniently sample aggregates in the entire material layer of the production line, ensuring that the samples are representative, thereby further improving the accuracy of subsequent aggregate quality inspection and analysis results, and providing a more reliable basis for the accurate calculation of parameters such as aggregate grading. In addition, for some mild adhesion caused by dust attached to the surface or mild moisture, the impact force generated by the drop can disperse the aggregates, so as to help reduce the adhesion of aggregates in subsequent processing and improve the accuracy of subsequent image processing.

[0031] In some specific embodiments of the present invention, the full material layer sampling method at the belt conveyor position is docking sampling, such as Figure 2 As shown, the docking sampling unit 120 is located on one side of the belt conveyor 20. It should be noted that docking sampling generally refers to a method in which various parts of the sampling device are connected to other production equipment such as a transport device by docking for sampling. The docking sampling can be compatible with a variety of sampling components, thereby adapting to aggregate sampling requirements under different working conditions.

[0032] In some specific embodiments of the present invention, Figure 2 As shown, the automatic mechanical bucket sampling unit 130 is located at one side of the shipping pile 10, and the sampling method of the entire material layer at the shipping pile 10 is automatic mechanical bucket sampling.

[0033] In some specific embodiments of the present invention, the calculation formula of the aggregate equivalent radius is:

[0034] In the formula, is the aggregate projected area, is the equivalent radius of aggregate.

[0035] In some specific embodiments of the present invention, the calculation formula for the segmentation interval length is:

[0036] In the formula, is the length of the segmentation interval, is the upper limit of aggregate grading size, is the lower limit of aggregate grading size, and N is the number of division intervals.

[0037] In some specific embodiments of the present invention, the total mass of sand and gravel aggregate is calculated as follows:

[0038] In the formula, is the total mass of aggregate, is the equivalent radius of aggregate, Used to calculate is the volume of a sphere with radius, represents the density of the ith aggregate particle, and n is the aggregate particle count.

[0039] In some specific embodiments of the present invention, the calculation formula for the mass proportion of aggregate in each equivalent particle size segmentation interval is:

[0040] In the formula, is the equivalent radius of aggregate, Used to calculate is the volume of a sphere with radius, is the proportion of the aggregate mass in the corresponding segmented interval to the total aggregate mass, m is the aggregate particle count, M is the total aggregate mass, represents the density of the ith aggregate particle.

[0041] In some specific embodiments of the present invention, the calculation formula of the aggregate particle shape content is:

[0042] In the formula, is the maximum length of a single aggregate particle, is the minimum length of a single aggregate particle, is the equivalent radius of aggregate particles, is the number of samples.

[0043] In some specific embodiments of the present invention, the calculation formula of the needle-like content of the aggregate is:

[0044] In the formula, is the equivalent radius of aggregate, Used to calculate is the volume of a sphere with radius, is the maximum length of a single aggregate particle, is the minimum length of a single aggregate particle, j is the aggregate particle count, M is the total mass of aggregate, represents the density of the ith aggregate particle.

[0045] Please refer to Figure 2The present embodiment discloses a high-precision monitoring device for aggregate quality, which is arranged at least at one of the coarse crushing belt conveyor position, the medium crushing belt conveyor position, the fine crushing belt conveyor position and the shipping and stacking position. Preferably, the coarse crushing belt conveyor position, the medium crushing belt conveyor position, the fine crushing belt conveyor position and the shipping and stacking position are all provided with several high-precision monitoring devices for aggregate quality.

[0046] The high-precision monitoring device for aggregate quality includes a sampling module 100, a vibration dispersion module 200, an image acquisition module 300, an image processing module 400 and a quality monitoring module. Among them, the sampling module 100 samples the aggregate at a preset frequency, and the vibration dispersion module 200 is built below the sampling module 100 so that the sample taken by the sampling module 100 can fall freely to the vibration dispersion module 200, and the vibration dispersion module 200 is used to vibrate and disperse the sampled aggregate. The image acquisition module 300 is arranged above the vibration dispersion module 200, and the image acquisition module 300 is used to determine the image area information corresponding to each aggregate sample. The image processing module 400 is used to analyze the image area information corresponding to each aggregate sample. The quality detection module 500 determines the quality information corresponding to each aggregate sample on the production line based on the analysis result of the image processing module 400.

[0047] A plurality of high-precision aggregate quality monitoring devices are set up in the coarse crushing belt conveyor position, the medium crushing belt conveyor position, the fine crushing belt conveyor position and the shipping stockpile position, and the sampling module 100 is used to sample aggregates in the entire material layer of the production line. The vibration dispersion module 200 is used to perform vibration dispersion treatment on the aggregate samples taken to reduce the overlap and adhesion between the aggregates. The image acquisition module 300 is used to perform multi-angle vibration image acquisition on the aggregate samples of the same batch, and the acquired images are collected and processed. The image processing module 400 is used to process the aggregate images after collection through the threshold segmentation algorithm to separate the aggregate from the background, mark the single aggregate and extract the maximum length, minimum length and projection area of ​​each aggregate. The image processing module 400 obtains the grading information, physical property information and quality information of the aggregate based on the geometric information of the aggregate. Finally, the quality monitoring module conducts a quality assessment on the collected aggregate quality data. According to the preset quality standards and thresholds, when the aggregate quality is abnormal or close to the unqualified range, an early warning signal is issued in time to remind the staff to take corresponding measures, thereby preventing unqualified aggregates from entering the next process and ensuring the quality of the project.

[0048] In some specific embodiments of the present invention, the vibration dispersion module 200 includes a vibration dispersion platform 210 and a control system 220 . The control system 220 is connected to the vibration dispersion platform 210 . The control system 220 is used to adjust the amplitude, vibration period and vibration frequency of the vibration dispersion platform 210 .

[0049] The vibration dispersion platform 210 adopts high-frequency electromagnetic vibration, and the control system 220 is used to realize the vibration period and frequency regulation of the vibration dispersion platform 210. It should be noted that the vibration dispersion module 200 is built below the sampling module 100, and the aggregate can fall freely to the vibration dispersion module 200. Therefore, when the aggregate falls freely, the aggregate will have a certain initial velocity and kinetic energy under the action of gravity. At this time, it enters the vibration dispersion module 200, which can form a synergistic effect with the vibration effect. Compared with relying solely on vibration, it can make the collision and friction between the aggregates more sufficient, which is more conducive to dispersing the adhering and aggregated aggregate particles, and improving the efficiency and uniformity of dispersion. Secondly, if the vibration dispersion module 200 is not located below the sampling module 100 to allow the aggregate to fall freely, but the aggregate needs to be transported to the vibration dispersion module 200 by other means, aggregate accumulation or adhesion may occur again during the transportation process, and the free fall method can minimize the adverse effects of this intermediate link. At the same time, the aggregate after free fall and vibration dispersion has a more uniform particle distribution and can better represent the characteristics of the overall aggregate. The aggregate directly enters the vibration dispersion link in a relatively loose state, which is more conducive to achieving a good dispersion effect. In the subsequent testing of various indicators such as aggregate grading, mud content, and water content, the samples taken are more representative, thereby improving the accuracy and reliability of the test results and providing more accurate data support for engineering quality control.

[0050] In some specific embodiments of the present invention, the image acquisition module 300 includes a fixed base 310, and an industrial camera 320, a strong blowing device 330 and an enhanced light source 340 arranged on the fixed base 310. The shooting surface of the industrial camera 320 is parallel to the vibration dispersion platform 210, the strong blowing device 330 is used to reduce dust interference, and the enhanced light source 340 is used to enhance the shooting quality of the industrial camera 320.

[0051] The industrial camera 320 is installed above the center of the vibration dispersion platform 210, and the lens is perpendicular to the vibration dispersion platform 210 so that the shooting plane is parallel to the vibration dispersion platform 210. The image of the aggregate on the vibration dispersion platform 210 is captured by converting the optical image into an electrical signal using a photoelectric sensor. Since the installation position is above the center of the platform and the lens is vertically downward, it can ensure that a relatively complete and comprehensive image of the aggregate on the vibration dispersion platform 210 is captured, avoiding shooting blind spots, and ensuring that the image can accurately reflect the actual state of the aggregate.

[0052] It should be noted that during the shooting process, the aggregate will generate dust, which will affect the shooting effect of the industrial camera 320. By using a strong blowing device 330 to generate a strong airflow, the dust is blown away from the shooting area, thereby reducing the obstruction of dust to the propagation of light and the pollution of the camera lens, ensuring that the industrial camera 320 can clearly capture the aggregate image. Furthermore, the enhanced light source 340 is installed on the fixing base 310 to provide additional light for the shooting of the industrial camera 320, so that the aggregate image captured by the industrial camera 320 is improved in brightness, contrast and clarity, etc., which is convenient for subsequent analysis and processing of the image.

[0053] In some specific embodiments of the present invention, the image processing module 400 includes an original image collection unit and an image analysis and processing algorithm unit 410. The original image collection unit is used to collect and classify the images of the same batch of aggregates. Specifically, by collecting images of the same batch of aggregates under multiple vibrations and different directions, the information of the aggregates can be obtained from multiple angles, avoiding the one-sidedness brought by obtaining images from only a single direction or a single vibration, and more comprehensively reflecting the real shape and distribution of the aggregates. The image analysis and processing algorithm unit 410 is used to extract and analyze the aggregate features based on the aggregate image. Specifically, according to the differences in grayscale values ​​and other features between the aggregate and the background and between different aggregate particles in the image, one or more thresholds are set to divide the pixels in the image into different categories, usually into aggregate parts and background parts, so as to separate the aggregates from the complex background, and facilitate the subsequent accurate measurement and analysis of various parameters of the aggregates.

[0054] In some specific embodiments of the present invention, the quality monitoring module includes a real-time monitoring information display unit 510, an aggregate quality monitoring and early warning unit 520, and a historical data storage unit 530, wherein the real-time monitoring information display unit 510 is used to display the monitoring information of aggregate quality in real time. Specifically, through data docking with the image acquisition and transmission module, the image analysis and processing module, etc., various quality data of the current aggregate, such as aggregate grading, particle shape parameters, needle-like content, production batch, workshop temperature, etc., are obtained in real time, and presented to the production personnel in an intuitive visual interface, so that they can view it at any time. The aggregate quality monitoring and early warning unit 520 is used to monitor the aggregate quality and issue an early warning when an abnormality occurs. Specifically, the aggregate quality monitoring and early warning is a grading, particle shape and needle-like monitoring and early warning. When the grading monitoring result exceeds the grading quality fluctuation range of normal production, an early warning of screen damage and leak problems is issued. When the particle shape and needle-like monitoring results exceed the normal fluctuation range, an early warning of the crushing and shaping equipment operation is issued. The historical data storage unit 530 is used to store historical monitoring data of aggregate quality. Specifically, the data of different batches of sand and gravel quality, including key indicators such as aggregate grading, particle shape, needle-like content, and corresponding production time, batch number and other information, are stored in the database to form a complete data file, so as to facilitate technical personnel to query historical data, conduct comparative analysis, and understand the long-term change trend of aggregate quality, provide data support for optimizing production processes and improving equipment performance, and also facilitate quality traceability, so that problem batches and related production links can be quickly located when quality problems occur.

[0055] Reference Figure 3 , Figure 3 The following is a schematic diagram of aggregate gradation at different material layer depths. The results show that the aggregate gradation at different material layer depths is different, with the surface aggregate particle size being coarser and the bottom layer being finer. Figure 4 , Figure 4 The figure is a schematic diagram of aggregate gradation at different material layer depths under different screening methods. The results show that the traditional analysis results obtained based on surface image recognition have large errors. The image analysis results without vibration dispersion are low due to the adhesion of particles. After vibration dispersion, the accuracy of image recognition analysis results is improved, which is similar to the results obtained by manual screening particle gradation standard test. Therefore, it is necessary to modify the production line to sample the entire material layer, and the results obtained by sampling the entire material layer in the present invention are more representative.

[0056] Reference Figure 5 , Figure 5 The figure is a schematic diagram of the needle-like content of aggregate at different depths of the material layer. The results show that the needle-like content of aggregate at different depths of the material layer is different, with the needle-like content of the surface layer of the aggregate layer being higher and that of the bottom layer being lower. Figure 6 , Figure 6This is a comparison chart of the needle-like content analysis of aggregates under different screening methods. The results show that the traditional needle-like content analysis results obtained based on surface image recognition have large errors. The image analysis results without vibration dispersion are due to the adhesion of particles and the stacking of a large number of irregular aggregates. The needle-like content of the image analysis results without vibration dispersion is low. After vibration dispersion, the accuracy of the image recognition analysis results is improved, and it is similar to the results obtained by the standard test method for manual detection of needle-like content. Therefore, it is necessary to transform the production line to sample the entire material layer, and the results obtained by sampling the entire material layer of the present invention are more representative.

[0057] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of ordinary technicians in the relevant technical field without departing from the purpose of the present invention.

Claims

1. A high-precision monitoring method for aggregate quality, characterized in that: include: Aggregate sampling is carried out in the entire material layer of the production line; The aggregate samples were subjected to vibration dispersion treatment to reduce the overlap and adhesion between aggregates; Collect multi-angle vibration images of the same batch of aggregate samples and perform grouping processing on the collected images; The aggregate images are processed by threshold segmentation algorithm to separate the aggregate from the background, mark individual aggregates, and extract the maximum length, minimum length, and projection area of ​​each aggregate. Calculate the equivalent radius of each aggregate based on the extracted projection area; Preset the upper and lower limits of aggregate grading and the number of segmentation intervals, calculate the length of the segmentation interval, and count the number of aggregate particles in each interval based on the equivalent radius; Calculate the total mass of sand and gravel aggregates, and determine the aggregate gradation according to the mass proportion of aggregates in each equivalent particle size segmentation interval; Based on the maximum length, minimum length and equivalent radius of each aggregate, the particle shape content and needle-like content of the aggregate are calculated.

2. The high-precision monitoring method for aggregate quality according to claim 1 is characterized in that: The sampling method at the belt conveyor position is belt drop sampling.

3. The high-precision monitoring method for aggregate quality according to claim 1, characterized in that: The calculation formula of the segmentation interval length is: In the formula, is the length of the segmentation interval, is the upper limit of aggregate grading size, is the lower limit of aggregate grading size, and N is the number of division intervals.

4. The high-precision monitoring method for aggregate quality according to claim 1, characterized in that: The calculation formula of the total mass of the sand and gravel aggregate is: In the formula, is the total mass of aggregate, is the equivalent radius of aggregate, Used to calculate is the volume of a sphere with radius, represents the density of the ith aggregate particle, and n is the aggregate particle count.

5. The high-precision monitoring method for aggregate quality according to claim 1, characterized in that: The calculation formula for the mass proportion of aggregate in each equivalent particle size segmentation interval is: In the formula, is the equivalent radius of aggregate, Used to calculate is the volume of a sphere with radius, is the proportion of the aggregate mass in the corresponding segmented interval to the total aggregate mass, m is the aggregate particle count, M is the total aggregate mass, represents the density of the ith aggregate particle.

6. The high-precision monitoring method for aggregate quality according to claim 1, characterized in that: The calculation formula of the particle shape content of the aggregate is: In the formula, is the maximum length of a single aggregate particle, is the minimum length of a single aggregate particle, is the equivalent radius of aggregate particles, is the number of samples.

7. The high-precision monitoring method for aggregate quality according to claim 1, characterized in that: The calculation formula of the needle-like content of the aggregate is: In the formula, is the equivalent radius of aggregate, Used to calculate is the volume of a sphere with radius, is the maximum length of a single aggregate particle, is the minimum length of a single aggregate particle, j is the aggregate particle count, M is the total mass of aggregate, represents the density of the ith aggregate particle.

8. A high-precision monitoring device for aggregate quality, characterized in that: At least one of the coarse crushing belt conveyor position, medium crushing belt conveyor position, fine crushing belt conveyor position and shipping stacking position is set up, including: A sampling module, wherein the sampling module samples the aggregate at a preset frequency; A vibration dispersion module, which is built below the sampling module so that the sample taken by the sampling module can freely fall to the vibration dispersion module, and the vibration dispersion module is used to perform vibration dispersion on the sampled aggregate; An image acquisition module, which is disposed above the vibration dispersion module and is used to determine image region information corresponding to each aggregate sample; An image processing module, wherein the image processing module is used to analyze image area information corresponding to each aggregate sample; A quality monitoring module, wherein the quality detection module determines the quality information corresponding to each aggregate sample on the production line based on the analysis result of the image processing module.

9. The high-precision monitoring device for aggregate quality according to claim 8, characterized in that: The vibration dispersion module includes a vibration dispersion platform and a control system, wherein the control system is connected to the vibration dispersion platform, and the control system is used to adjust the amplitude, vibration period and vibration frequency of the vibration dispersion platform; The image acquisition module includes a fixing seat, and an industrial camera, a strong blowing device and an enhanced light source arranged on the fixing seat, wherein the shooting surface of the industrial camera is parallel to the vibration dispersion platform, the strong blowing device is used to reduce dust interference, and the enhanced light source is used to enhance the shooting quality of the industrial camera; The image processing module includes an original image collection unit and an image analysis and processing algorithm unit. The original image collection unit is used to collect and classify the aggregate images of the same batch, and the image analysis and processing algorithm unit is used to extract and analyze aggregate features based on the aggregate images.

10. The high-precision monitoring device for aggregate quality according to claim 8, characterized in that: The quality monitoring module includes a real-time monitoring information display unit, an aggregate quality monitoring and early warning unit and a historical data storage unit. The real-time monitoring information display unit is used to display the monitoring information of aggregate quality in real time. The aggregate quality monitoring and early warning unit is used to monitor the aggregate quality and issue an early warning when an abnormality occurs. The historical data storage unit is used to store historical monitoring data of aggregate quality.

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