Method, system, equipment and storage medium for evaluating quality of sand and gravel after crushing and screening

Abstract

The present invention relates to the field of image analysis technology, and specifically to a method, system, device and storage medium for evaluating the quality of sand and gravel after crushing and screening. In order to solve the technical problem of low accuracy of sand and gravel quality evaluation in the prior art, the present application obtains sand and gravel particle size, sand and gravel sample grading degree and sand and gravel roundness based on sand and gravel sample images, and sequentially performs qualification judgment of sand and gravel sample grading degree, sand and gravel roundness and sand and gravel shear strength, so as to achieve efficient and accurate sand and gravel sample evaluation. Finally, when the sand and gravel sample grading degree, sand and gravel roundness and sand and gravel shear strength are up to standard, based on the sand and gravel sample moisture content, sand and gravel sample compressive strength value, sand and gravel sample comprehensive roundness and sand and gravel sample grading degree, obtain the sand and gravel sample comprehensive value that can better reflect the comprehensive performance of the sand and gravel sample, and obtain the sand and gravel sample grade according to the corresponding relationship with the sand and gravel sample grade table, so as to achieve the comprehensiveness, accuracy and stability of sand and gravel sample quality evaluation based on images.

Description

Technical Field

[0001] The present invention relates to the technical field of image analysis, and in particular to a method, system, device and storage medium for evaluating the quality of sand and gravel after crushing and screening. Background Art

[0002] In the construction industry, the quality of crushed sand and gravel directly affects the strength and durability of concrete and other buildings. Traditional quality evaluation methods rely on manual sampling and simple physical property tests, which are highly subjective, inefficient, and inaccurate. Summary of the invention

[0003] The purpose of the present invention is to provide a method, system, equipment and storage medium for evaluating the quality of sand and gravel after crushing and screening.

[0004] The technical solution of the present invention is as follows:

[0005] A method for evaluating the quality of sand and gravel after crushing and screening, comprising the following operations:

[0006] S1. Collect gravel samples from the gravel discharge port of the crushing and shaping equipment, and obtain the gravel sample image to obtain the gravel sample image; obtain the gravel particle size based on the gravel sample image to obtain D10, D50 and D90; D10, D50 and D90 are the particle size values ​​corresponding to the cumulative particle size distribution reaching 10%, 50% and 90% of the total number when all the gravel is arranged from small to large in particle size; obtain the gradation of the gravel sample based on D10, D50 and D90; determine whether the gradation of the gravel sample is greater than the gradation threshold; if greater, execute S2; if not, send an instruction to the crushing and shaping equipment to continue processing the gravel;

[0007] S2, obtaining the roundness of the sand and gravel based on the sand and gravel sample image, taking the average value as the comprehensive roundness of the sand and gravel sample; judging whether the comprehensive roundness of the sand and gravel sample is greater than the roundness threshold, if so, executing S3; if not, sending an instruction to the crushing and shaping equipment to continue processing the sand and gravel;

[0008] S3, dividing the sand and gravel sample into a first sand and gravel sample and a second sand and gravel sample, and obtaining several first sand and gravel sub-sample groups after screening the first sand and gravel sample; taking the average of the compressive strengths of several first sand and gravel sub-sample groups as the compressive strength value of the sand and gravel sample; obtaining the compressive strength score of the sand and gravel sample according to the difference between the compressive strength value of the sand and gravel sample and the standard value of the compressive strength of the sand and gravel; judging whether the compressive strength score of the sand and gravel sample is greater than the compressive strength score threshold; if greater, executing S4 for the second sand and gravel sample; if not greater, sending an instruction to the crushing and shaping equipment to continue processing the sand and gravel;

[0009] S4. Obtain the moisture content of the second sand and gravel sample as the moisture content of the sand and gravel sample; obtain the comprehensive value of the sand and gravel sample based on the moisture content of the sand and gravel sample, the compressive strength value of the sand and gravel sample, the comprehensive roundness of the sand and gravel sample and the grading degree of the sand and gravel sample; obtain the grade of the sand and gravel sample according to the correspondence between the comprehensive value of the sand and gravel sample and the sand and gravel sample grade table.

[0010] The operations for obtaining the sand and gravel particle size in S1 are specifically as follows: grayscale processing the sand and gravel sample image to obtain a sand and gravel grayscale image; binarization processing is performed after removing the noise of the sand and gravel grayscale image to obtain a sand and gravel binary image; edge information of sand and gravel particles in the sand and gravel binary image is obtained based on an edge detection algorithm, and edges of sand and gravel particles in the binary image are enhanced according to the edge information to obtain a sand and gravel edge enhanced image; the sand and gravel edge enhanced image is processed based on a region growing algorithm, and the adhered sand and gravel particle area is segmented to obtain a number of segmented closed areas, and the average length of the line segments in a number of directions on each segmented closed area is obtained as the particle size of the sand and gravel corresponding to the segmented closed area, and a number of sand and gravel particle sizes are obtained.

[0011] In S1, a number of sand and gravel particle sizes are counted in order from small to large to form a table; D10, D50 and D90 are obtained based on the table information; when D10, D50 or D90 cannot be directly obtained from the initial information of the table, the previous particle size information and the next particle size information of D10, D50 or D90 are interpolated to obtain D10, D50 or D90;

[0012] The interpolation process is implemented by the following formula:

[0013] ,

[0014] i The first particle size among all the particle sizes in the table sorted from small to large i sort value, For no more than i The cumulative particle size distribution corresponding to each ranking value is 10%, 50%, or 90%; For the i The ranking values ​​correspond to the particle size, which is D10, or D50 and D90; , Not more than i -1 ranking value corresponds to the cumulative particle size distribution and the i -1 ranking value corresponds to particle size; , Not more than i +1 ranking value corresponds to the cumulative particle size distribution and the i The +1 ranking value corresponds to the particle size.

[0015] S1 medium sand and gravel sample gradation It is calculated by the following formula:

[0016] .

[0017] The specific method for obtaining the roundness of sand and gravel in S2 is: grayscale processing, denoising, binarization, edge detection algorithm processing, edge enhancement and connected domain analysis are performed on the sand and gravel sample image to obtain a number of segmented closed areas; the ratio of the maximum and minimum lengths of the line segments in each closed area is obtained as the roundness of the sand and gravel corresponding to the segmented closed area.

[0018] The specific operation of obtaining the compressive strength score of the sandstone sample in S3 is:

[0019] when hour, ,

[0020] when- hour, ,

[0021] when hour, ,

[0022] Score the compressive strength of sandstone samples. is the compressive strength value of the sandstone sample, is the standard value of compressive strength of sand and gravel, is the deviation coefficient, which is a positive number.

[0023] The comprehensive value of sand and gravel samples in S4 is obtained by the following formula:

[0024] ,

[0025] is the comprehensive value of sand and gravel samples, , , , The weight of the moisture content of the sand and gravel samples, the moisture content of the sand and gravel samples, the maximum and minimum moisture content within the standard moisture content range, , , They are the weight of the compressive strength value of sand and gravel, the compressive strength value of sand and gravel samples, and the standard value of the compressive strength of sand and gravel. , , , is the roundness weight of sand and gravel, the comprehensive roundness of sand and gravel samples, and the maximum and minimum roundness values ​​within the range of standard sand and gravel roundness. , , , It is the maximum and minimum values ​​of sand and gravel grading weight, sand and gravel sample grading, and standard sand and gravel grading within the range.

[0026] A system for evaluating the quality of sand and gravel after crushing and screening, used to implement the above-mentioned method for evaluating the quality of sand and gravel after crushing and screening, comprising:

[0027] The sand and gravel sample grading generation and judgment module collects sand and gravel samples from the sand and gravel discharge port of the crushing and shaping equipment, obtains sand and gravel sample images, and obtains sand and gravel sample images; obtains sand and gravel particle sizes based on the sand and gravel sample images, and obtains D10, D50 and D90; D10, D50 and D90 are the particle size values ​​corresponding to when all sand and gravel are arranged from small to large in terms of particle size, and the cumulative particle size distribution reaches 10%, 50% and 90% of the total number; based on D10, D50 and D90, obtains the sand and gravel sample grading; judges whether the sand and gravel sample grading is greater than the grading threshold; if greater, executes the sand and gravel sample comprehensive roundness generation and judgment module; if not, sends an instruction to the crushing and shaping equipment to continue processing the sand and gravel;

[0028] The sand and gravel sample comprehensive roundness generation and judgment module obtains the sand and gravel roundness based on the sand and gravel sample image and takes the average value as the comprehensive roundness of the sand and gravel sample; judges whether the comprehensive roundness of the sand and gravel sample is greater than the roundness threshold. If so, the sand and gravel sample compressive strength value generation and judgment module is executed; if not, an instruction to continue processing the sand and gravel is sent to the crushing and shaping equipment;

[0029] The sand and gravel sample compressive strength value generation and judgment module divides the sand and gravel sample into a first sand and gravel sample and a second sand and gravel sample, and obtains a plurality of first sand and gravel sub-sample groups after screening the first sand and gravel sample; takes the average of the compressive strengths of the plurality of first sand and gravel sub-sample groups as the sand and gravel sample compressive strength value; obtains the sand and gravel sample compressive strength score according to the difference between the sand and gravel sample compressive strength value and the sand and gravel compressive strength standard value; judges whether the sand and gravel sample compressive strength score is greater than the compressive strength score threshold; if greater, the second sand and gravel sample executes the sand and gravel sample grade generation module; if not greater, sends an instruction to the crushing and shaping equipment to continue processing the sand and gravel;

[0030] The sand and gravel sample grade generation module obtains the moisture content of the second sand and gravel sample as the moisture content of the sand and gravel sample; obtains the comprehensive value of the sand and gravel sample based on the moisture content of the sand and gravel sample, the compressive strength value of the sand and gravel sample, the comprehensive roundness of the sand and gravel sample and the grading degree of the sand and gravel sample; obtains the sand and gravel sample grade according to the correspondence between the comprehensive value of the sand and gravel sample and the sand and gravel sample grade table.

[0031] A device for evaluating the quality of sand and gravel after crushing and screening comprises a processor and a memory, wherein the processor implements the above-mentioned method for evaluating the quality of sand and gravel after crushing and screening when executing a computer program stored in the memory.

[0032] A computer-readable storage medium is used to store a computer program, wherein when the computer program is executed by a processor, the above-mentioned method for evaluating the quality of sand and gravel after crushing and screening is implemented.

[0033] The beneficial effects of the present invention are:

[0034] The present invention provides a method for evaluating the quality of sand and gravel after crushing and screening. First, the sand and gravel sample image is analyzed to obtain the sand and gravel particle size, and D10, D50 and D90 are obtained, and the sand and gravel sample gradation degree that can reflect the sand and gravel particle matching situation in the sand and gravel sample is obtained. According to the comparison result between the sand and gravel sample gradation degree and the gradation degree threshold, it is selected to continue mixing the sand and gravel, or to make further sand and gravel roundness evaluation. When the sand and gravel sample gradation degree meets the standard, the sand and gravel roundness is obtained based on the sand and gravel sample image, which is used to evaluate the mixing ease and stress distribution uniformity of the sand and gravel sample, and according to the comparison result with the roundness threshold, it is selected to continue mixing the sand and gravel, or to make further sand and gravel shear strength evaluation. When the sand and gravel sample roundness meets the standard, the sand and gravel roundness is obtained based on the sand and gravel sample image. Take the compressive strength value of the sand and gravel sample, and get the compressive strength score of the sand and gravel sample based on the difference with the standard value of the compressive strength of the sand and gravel. Then, based on the comparison result of the compressive strength score of the sand and gravel sample and the compressive strength score threshold, evaluate the sand and gravel sample's ability to resist shear failure, and choose to continue mixing the sand and gravel, or make further comprehensive evaluation. When the compressive strength of the sand and gravel sample meets the standard, obtain the comprehensive value of the sand and gravel sample that can better reflect the comprehensive performance of the sand and gravel sample based on the water content of the sand and gravel sample, the compressive strength value of the sand and gravel sample, the comprehensive roundness of the sand and gravel sample and the grading degree of the sand and gravel sample, and get the sand and gravel sample grade based on the corresponding relationship with the sand and gravel sample grade table, so as to realize the comprehensiveness, accuracy and stability of the sand and gravel sample quality assessment. DETAILED DESCRIPTION

[0035] This embodiment provides a method for evaluating the quality of sand and gravel after crushing and screening, including the following operations:

[0036] S1. Collect gravel samples from the gravel discharge port of the crushing and shaping equipment, and obtain the gravel sample image to obtain the gravel sample image; obtain the gravel particle size based on the gravel sample image to obtain D10, D50 and D90; D10, D50 and D90 are the particle size values ​​corresponding to the cumulative particle size distribution reaching 10%, 50% and 90% of the total number when all the gravel is arranged from small to large in particle size; obtain the gradation of the gravel sample based on D10, D50 and D90; determine whether the gradation of the gravel sample is greater than the gradation threshold; if greater, execute S2; if not, send an instruction to the crushing and shaping equipment to continue processing the gravel;

[0037] S2, obtaining the roundness of the sand and gravel based on the sand and gravel sample image, taking the average value as the comprehensive roundness of the sand and gravel sample; judging whether the comprehensive roundness of the sand and gravel sample is greater than the roundness threshold, if so, executing S3; if not, sending an instruction to the crushing and shaping equipment to continue processing the sand and gravel;

[0038] S3, dividing the sand and gravel sample into a first sand and gravel sample and a second sand and gravel sample, and obtaining several first sand and gravel sub-sample groups after screening the first sand and gravel sample; taking the average of the compressive strengths of several first sand and gravel sub-sample groups as the compressive strength value of the sand and gravel sample; obtaining the compressive strength score of the sand and gravel sample according to the difference between the compressive strength value of the sand and gravel sample and the standard value of the compressive strength of the sand and gravel; judging whether the compressive strength score of the sand and gravel sample is greater than the compressive strength score threshold; if greater, executing S4 for the second sand and gravel sample; if not greater, sending an instruction to the crushing and shaping equipment to continue processing the sand and gravel;

[0039] S4. Obtain the moisture content of the second sand and gravel sample as the moisture content of the sand and gravel sample; obtain the comprehensive value of the sand and gravel sample based on the moisture content of the sand and gravel sample, the compressive strength value of the sand and gravel sample, the comprehensive roundness of the sand and gravel sample and the grading degree of the sand and gravel sample; obtain the grade of the sand and gravel sample according to the correspondence between the comprehensive value of the sand and gravel sample and the sand and gravel sample grade table.

[0040] S1. Collect sand and gravel samples from the sand and gravel discharge port of the crushing and shaping equipment, and obtain the sand and gravel sample image to obtain the sand and gravel sample image; obtain the sand and gravel particle size based on the sand and gravel sample image to obtain D10, D50 and D90; obtain the gradation of the sand and gravel sample based on D10, D50 and D90; determine whether the gradation of the sand and gravel sample is greater than the gradation threshold; if greater, execute S2; if not greater, send an instruction to the crushing and shaping equipment to continue processing the sand and gravel.

[0041] Based on the sand and gravel sample image, the sand and gravel particle size can be obtained quickly and accurately, and D10, D50 and D90 can be obtained. Based on D10, D50 and D90, the grading degree of the sand and gravel sample that can reflect the matching of sand and gravel particles in the sand and gravel sample can be obtained. According to the comparison result between the grading degree of the sand and gravel sample and the grading degree threshold, it is decided whether to further evaluate the sand and gravel quality.

[0042] Firstly, a standard volume of sand and gravel samples are randomly collected from the sand and gravel discharge port of the crushing and shaping equipment, and are laid flat on a background plate to obtain a sand and gravel sample image.

[0043] Then, the particle size of the sand and gravel is obtained based on the image of the sand and gravel sample, and D10, D50 and D90 reflecting the distribution of small, medium and large sand and gravel particles in the sand and gravel sample are obtained. D10, D50 and D90 are the particle size values ​​corresponding to the cumulative particle size distribution reaching 10%, 50% and 90% of the total number when all the sand and gravel are arranged from small to large in particle size. For example, the total number of sand and gravel with a particle size of no more than 1.5 cm accounts for 90% of the total number of all sand and gravel, then D90=1.5 cm.

[0044] Among them, the operation of obtaining the sand and gravel particle size based on the sand and gravel sample image is as follows.

[0045] Step 1: grayscale the sand and gravel sample image to eliminate the interference of color information on sand and gravel particle size recognition and obtain a sand and gravel grayscale image.

[0046] Step 2: After removing the noise from the sand and gray scale image, perform binarization processing to make the image smoother, mark the background pixels as black, mark the sand and stone particle pixels as white, separate the sand and stone particles from the background, and obtain a sand and stone binary image. The operation of removing the noise from the sand and gray scale image can be achieved by median filtering.

[0047] Step 3: Obtain edge information of sand and gravel particles in the sand and gravel binary image based on an edge detection algorithm, and perform edge enhancement on the sand and gravel particles in the binary image according to the edge information to obtain a sand and gravel edge enhanced image.

[0048] Specifically, the edge detection algorithm is used to process the binary image of sand and gravel to obtain the edge position information of sand and gravel particles; based on the edge position information, an edge mask image with the same image size as the binary image of sand and gravel is constructed; after adjusting the contrast of the edge mask image to the contrast threshold, it is fused with the binary image of sand and gravel, thereby highlighting and enhancing the edge contour of sand and gravel particles and obtaining a sand and gravel edge enhanced image.

[0049] Step 4: Process the gravel edge enhanced image based on the region growing algorithm, segment the adhered gravel particle area, and obtain several segmented closed areas. Obtain the average length of the line segments in several directions (the two ends of the line segments are on the edges of the segmented closed areas) on each segmented closed area as the particle size of the gravel corresponding to the segmented closed area, and obtain several gravel particle sizes.

[0050] In addition, this embodiment counts the corresponding number of sand and gravel particles in order from small to large to form a table. The table lists the number of particles of each particle size and the percentage of the cumulative number of sand and gravel particles not greater than the particle size value to the total number of particles, and obtains D10, D50 and D90 based on the table information.

[0051] In actual operation, if D10, D50 and D90 cannot be directly obtained from the table, that is, when D10 or D50 or D90 cannot be directly obtained from the initial information of the table, the previous particle size information and the latter particle size information of D10 or D50 or D90 are interpolated to obtain D10 or D50 or D90.

[0052] The above interpolation processing is achieved through the following formula:

[0053] ,

[0054] i The first particle size among all the particle sizes in the table sorted from small to large i sort value, For no more than i The cumulative particle size distribution corresponding to each ranking value is 10%, 50%, or 90%; For the i The ranking values ​​correspond to the particle size, which is D10, or D50 and D90; , Not more than the i -1 ranking value corresponds to the cumulative particle size distribution and the i -1 sort value corresponds to the particle size, corresponding to the previous particle size information; , Not more than the i +1 ranking value corresponds to the cumulative particle size distribution and the i +1 sort value corresponds to the particle size, corresponding to the latter particle size information.

[0055] Next, based on D10, D50 and D90, the gradation of the sand and gravel sample is obtained, which can reflect the matching of sand and gravel particles in the sand and gravel sample. If the numerical difference between D10, D50 and D90 is more reasonable, it means that the gradation of the sand and gravel sample is better, and the large, medium and small particles are properly matched, which can make the sand and gravel more compact and have a smaller void ratio when stacked.

[0056] Among them, the grading degree of sand and gravel samples It can be calculated by the following formula:

[0057] .

[0058] In order to further improve the accuracy of sand and gravel sample grading, the sand and gravel sample grading It can also be calculated by the following formula:

[0059] ,

[0060] Reflects the overall distribution range of sand and gravel particle sizes. The larger the value, the wider the distribution of sand and gravel particle sizes, and the greater the difference in particle sizes between large sand and gravel particles and small sand and gravel particles, which is more conducive to the subsequent sand and gravel accumulation to be more compact and have a smaller void ratio. It reflects the uniformity of the combination of large, medium and small sand and gravel particles. 3, indicating that the sand and gravel particle gradation is good, and the combination of large, medium and small sand and gravel particles is relatively reasonable; It reflects the difference in particle size and content ratio between large sand and gravel particles and medium sand and gravel particles. It reflects the difference in particle size and content ratio between medium sand and gravel particles and small sand and gravel particles. The closer the value is to 1, the more balanced the size difference and content ratio of large, medium and small sand and gravel particles are, and the better the matching is; , , are the first coefficient, the second coefficient and the third coefficient respectively, is the denominator compensation value.

[0061] Finally, determine whether the gradation of the sand and gravel sample is greater than the gradation threshold; if so, perform further quality assessment of S2; if not, the crushing and shaping equipment continues to mix the sand and gravel.

[0062] S2. Obtain the roundness of the sand and gravel based on the sand and gravel sample image, and take the average value as the comprehensive roundness of the sand and gravel sample; determine whether the comprehensive roundness of the sand and gravel sample is greater than the roundness threshold, if so, execute S3; if not, send an instruction to the crushing and shaping equipment to continue processing the sand and gravel.

[0063] Based on the sand and gravel sample image, the roundness of the sand and gravel can be quickly obtained, which is used to evaluate the mixing ease of the sand and gravel samples (the higher the roundness of the sand and gravel, the easier it is to mix during construction) and the uniformity of stress distribution (the higher the roundness of the sand and gravel, the better the uniformity of stress distribution). Based on the comparison result with the roundness threshold, it is decided whether to perform further evaluation of the sand and gravel quality, thereby improving the accuracy of sand and gravel quality assessment.

[0064] The specific method for obtaining the roundness of sand and gravel is as follows: grayscale processing, denoising, binarization, edge detection algorithm processing, edge enhancement and region growing algorithm processing are performed on the sand and gravel sample image to obtain a plurality of closed areas. The ratio of the maximum and minimum line segment lengths in each segmented closed area can be used as the roundness of the sand and gravel corresponding to the segmented closed area, and the ratio of the difference between the fitted circular area and the segmented closed area area to the fitted circular area can also be used as the roundness of the sand and gravel corresponding to the segmented closed area.

[0065] Determine whether the comprehensive roundness of the sand and gravel sample is greater than the roundness threshold (preferably 0.6). If so, it means that the stress distribution of the sand and gravel sample will be more uniform and less likely to be damaged when subjected to a larger load, so S3 is executed; if not, the crushing and shaping equipment continues to stir the sand and gravel.

[0066] S3. Divide the sand and gravel sample into a first sand and gravel sample and a second sand and gravel sample, and obtain several first sand and gravel sub-sample groups after screening the first sand and gravel sample; use the average compressive strength of several first sand and gravel sub-sample groups as the compressive strength value of the sand and gravel sample; obtain the compressive strength score of the sand and gravel sample according to the difference between the compressive strength value of the sand and gravel sample and the standard value of the compressive strength of the sand and gravel; determine whether the compressive strength score of the sand and gravel sample is greater than the compressive strength score threshold; if greater, execute S4 for the second sand and gravel sample; if not greater, send an instruction to the crushing and shaping equipment to continue processing the sand and gravel.

[0067] The compressive strength value of the sand and gravel sample is obtained, and the compressive strength score of the sand and gravel sample is obtained based on the difference with the standard value of the compressive strength of the sand and gravel. Then, based on the comparison result between the compressive strength score of the sand and gravel sample and the compressive strength score threshold, the ability of the sand and gravel sample to resist shear failure is evaluated, and it is decided whether to perform further evaluation of the quality of the sand and gravel sample.

[0068] Firstly, the sand and gravel samples are divided into a first sand and gravel sample and a second sand and gravel sample, and the first sand and gravel sample is used for compressive strength test.

[0069] Then, after the first sand and gravel sample is screened, several first sand and gravel sub-sample groups are obtained, and the average particle sizes of the first sand and gravel sub-samples in different groups are different.

[0070] Next, the average compressive strength of several first gravel sub-sample groups is used as the compressive strength value of the gravel sample. The compressive strength of gravel can be obtained by hydraulic universal testing machine or compression testing machine and other equipment. A constant loading rate is used in the experiment, and the pressure is slowly loaded in the experiment. The gradual changes of the first gravel sub-sample during the compression process are recorded, including deformation, crack generation, sample damage, etc., and the maximum bearing capacity of the sample is recorded in particular to obtain the compressive strength value of the gravel.

[0071] Subsequently, the compressive strength score of the sand and gravel sample is obtained based on the difference between the compressive strength value of the sand and gravel sample and the standard value of the compressive strength of the corresponding type of sand and gravel in GB / T 14685-2021.

[0072] The operation of obtaining the compressive strength score of the sand and gravel sample can be achieved through the following formula:

[0073] when hour, ,

[0074] when- hour, ,

[0075] when hour, ,

[0076] Score the compressive strength of sandstone samples. is the compressive strength value of the sandstone sample, is the standard value of compressive strength of sand and gravel, It is the deviation coefficient, which is a positive number. According to the different ranges of the difference, different nonlinear functions are used to calculate the score, so that the score is more in line with the sensitivity to different degrees of deviation in actual conditions, and the rationality and accuracy of the compressive strength score of sand and gravel samples are improved.

[0077] Alternatively, when the compressive strength value of the sand and gravel sample is not less than the standard value of the compressive strength of sand and gravel, the compressive strength score of the sand and gravel sample is 100 points. When the difference is negative and the absolute value of the difference accounts for 10% of the standard value of the compressive strength of sand and gravel, the compressive strength score of the sand and gravel sample will be reduced by 10 points starting from 100.

[0078] Finally, determine whether the compressive strength score of the sand and gravel sample is greater than the compressive strength score threshold; if greater, the second sand and gravel sample executes S4; if not, the crushing and shaping equipment continues to stir the sand and gravel.

[0079] S4. Obtain the moisture content of the second sand and gravel sample as the moisture content of the sand and gravel sample; obtain the comprehensive value of the sand and gravel sample based on the moisture content of the sand and gravel sample, the compressive strength value of the sand and gravel sample, the comprehensive roundness of the sand and gravel sample and the grading degree of the sand and gravel sample; obtain the grade of the sand and gravel sample according to the correspondence between the comprehensive value of the sand and gravel sample and the sand and gravel sample grade table.

[0080] According to the moisture content of sand and gravel samples, the compressive strength value of sand and gravel samples, the comprehensive roundness of sand and gravel samples and the grading degree of sand and gravel samples, the comprehensive value of sand and gravel samples that can better reflect the comprehensive performance of sand and gravel samples is obtained. According to the correspondence with the sand and gravel sample grade table, the sand and gravel sample grade is obtained to achieve comprehensiveness, accuracy and stability of sand and gravel sample quality assessment.

[0081] First, the moisture content of the second sand and gravel sample is obtained as the moisture content of the sand and gravel sample.

[0082] The water content can be obtained by the following formula:

[0083] ,

[0084] is the moisture content of the sandstone sample, is the weight of the second gravel sample (including water), is the weight of the second sand sample after drying (removing moisture).

[0085] Then, based on the water content of the sand and gravel samples, the compressive strength value of the sand and gravel samples, the comprehensive roundness of the sand and gravel samples and the grading degree of the sand and gravel samples, the comprehensive value of the sand and gravel samples is obtained for further comprehensive evaluation of the sand and gravel samples.

[0086] The comprehensive value of sand and gravel samples can be obtained by the following formula:

[0087] ,

[0088] is the comprehensive value of sand and gravel samples, , , , They are respectively the weight of the water content of the sand and gravel sample, the water content of the sand and gravel sample, and the maximum and minimum water content within the standard water content range. , , They are the weight of the compressive strength value of sand and gravel, the compressive strength value of sand and gravel samples, and the standard value of the compressive strength of sand and gravel. , , , is the roundness weight of sand and gravel, the comprehensive roundness of sand and gravel samples, and the maximum and minimum roundness values ​​within the range of standard sand and gravel roundness. , , , It is the maximum and minimum values ​​of sand and gravel grading weight, sand and gravel sample grading, and standard sand and gravel grading within the range.

[0089] In order to more finely reflect the influence of various indicators on the comprehensive performance of sand and gravel samples and further improve the accuracy of the comprehensive value of sand and gravel samples, the comprehensive value of sand and gravel samples can also be obtained by the following formula:

[0090] ,

[0091] , , , They are the weight of the moisture content of the sand and gravel sample, the weight of the compressive strength value of the sand and gravel, the weight of the roundness of the sand and gravel, and the weight of the grade of the sand and gravel. is the middle value of moisture content within the standard moisture content range. is the function rate coefficient, is the maximum compressive strength value of all the first sand and gravel sub-sample groups, is the sand and gravel roundness coefficient, is the sand and gravel grade matching coefficient, It is the middle value of the sand and gravel grade within the standard sand and gravel grade range.

[0092] Finally, the grade of sand and gravel samples is obtained according to the correspondence between the comprehensive value of sand and gravel samples and the grade table of sand and gravel samples.

[0093] This embodiment also provides a system for evaluating the quality of sand and gravel after crushing and screening, which is used to implement the above-mentioned method for evaluating the quality of sand and gravel after crushing and screening, including:

[0094] The sand and gravel sample grading generation and judgment module collects sand and gravel samples from the sand and gravel discharge port of the crushing and shaping equipment, obtains sand and gravel sample images, and obtains sand and gravel sample images; obtains sand and gravel particle sizes based on the sand and gravel sample images, and obtains D10, D50 and D90; D10, D50 and D90 are the particle size values ​​corresponding to when all sand and gravel are arranged from small to large in terms of particle size, and the cumulative particle size distribution reaches 10%, 50% and 90% of the total number; based on D10, D50 and D90, obtains the sand and gravel sample grading; judges whether the sand and gravel sample grading is greater than the grading threshold; if greater, executes the sand and gravel sample comprehensive roundness generation and judgment module; if not, sends an instruction to the crushing and shaping equipment to continue processing the sand and gravel;

[0095] The sand and gravel sample comprehensive roundness generation and judgment module obtains the sand and gravel roundness based on the sand and gravel sample image and takes the average value as the comprehensive roundness of the sand and gravel sample; judges whether the comprehensive roundness of the sand and gravel sample is greater than the roundness threshold. If so, the sand and gravel sample compressive strength value generation and judgment module is executed; if not, an instruction to continue processing the sand and gravel is sent to the crushing and shaping equipment;

[0096] The sand and gravel sample compressive strength value generation and judgment module divides the sand and gravel sample into a first sand and gravel sample and a second sand and gravel sample, and obtains a plurality of first sand and gravel sub-sample groups after screening the first sand and gravel sample; takes the average of the compressive strengths of the plurality of first sand and gravel sub-sample groups as the sand and gravel sample compressive strength value; obtains the sand and gravel sample compressive strength score according to the difference between the sand and gravel sample compressive strength value and the sand and gravel compressive strength standard value; judges whether the sand and gravel sample compressive strength score is greater than the compressive strength score threshold; if greater, the second sand and gravel sample executes the sand and gravel sample grade generation module; if not greater, sends an instruction to the crushing and shaping equipment to continue processing the sand and gravel;

[0097] The sand and gravel sample grade generation module obtains the moisture content of the second sand and gravel sample as the moisture content of the sand and gravel sample; obtains the comprehensive value of the sand and gravel sample based on the moisture content of the sand and gravel sample, the compressive strength value of the sand and gravel sample, the comprehensive roundness of the sand and gravel sample and the grading degree of the sand and gravel sample; obtains the sand and gravel sample grade according to the correspondence between the comprehensive value of the sand and gravel sample and the sand and gravel sample grade table.

[0098] This embodiment also provides a device for evaluating the quality of sand and gravel after crushing and screening, comprising a processor and a memory, wherein the processor implements the above-mentioned method for evaluating the quality of sand and gravel after crushing and screening when executing a computer program stored in the memory.

[0099] This embodiment also provides a computer-readable storage medium for storing a computer program, wherein when the computer program is executed by a processor, the above-mentioned method for evaluating the quality of sand and gravel after crushing and screening is implemented.

[0100] The present embodiment provides a method for evaluating the quality of sand and gravel after crushing and screening. First, the sand and gravel sample image is analyzed to obtain the sand and gravel particle size, and D10, D50 and D90 are obtained, and the sand and gravel sample gradation that can reflect the sand and gravel particle matching in the sand and gravel sample is obtained. According to the comparison result between the sand and gravel sample gradation and the gradation threshold, it is selected to continue mixing the sand and gravel, or to make further sand and gravel roundness evaluation. When the sand and gravel sample gradation meets the standard, the sand and gravel roundness is obtained based on the sand and gravel sample image to evaluate the mixing ease and stress distribution uniformity of the sand and gravel sample, and according to the comparison result with the roundness threshold, it is selected to continue mixing the sand and gravel, or to make further sand and gravel shear strength evaluation. When the sand and gravel sample roundness meets the standard, Obtain the compressive strength value of the sand and gravel sample, and obtain the compressive strength score of the sand and gravel sample based on the difference with the standard value of the compressive strength of the sand and gravel. Then, based on the comparison result of the compressive strength score of the sand and gravel sample and the compressive strength score threshold, evaluate the sand and gravel sample's ability to resist shear failure, and choose to continue mixing the sand and gravel, or make further comprehensive evaluation. When the compressive strength of the sand and gravel sample meets the standard, obtain the comprehensive value of the sand and gravel sample that can better reflect the comprehensive performance of the sand and gravel sample based on the water content of the sand and gravel sample, the compressive strength value of the sand and gravel sample, the comprehensive roundness of the sand and gravel sample and the grading degree of the sand and gravel sample, and obtain the sand and gravel sample grade based on the corresponding relationship with the sand and gravel sample grade table, so as to achieve the comprehensiveness, accuracy and stability of the sand and gravel sample quality assessment.

Claims

1. A method for evaluating the quality of sand and gravel after crushing and screening, characterized in that: The following operations are included: S1. Collecting sand and gravel samples from the sand and gravel discharge port of the crushing and shaping equipment, and obtaining sand and gravel sample images, thereby obtaining sand and gravel sample images; obtaining sand and gravel particle sizes based on the sand and gravel sample images, and obtaining D10, D50 and D90; D10, D50 and D90 are the particle size values ​​corresponding to when all sand and gravel are arranged in order from small to large particle sizes, and the cumulative particle size distribution reaches 10%, 50% and 90% of the total number, respectively; Based on D10, D50 and D90, the gradation of the sand and gravel sample is obtained; and it is determined whether the gradation of the sand and gravel sample is greater than the gradation threshold; If it is greater, execute S2; if it is not greater, send an instruction to the crushing and shaping equipment to continue processing the sand and gravel; S2, obtaining the roundness of the sand and gravel based on the sand and gravel sample image, taking the average value as the comprehensive roundness of the sand and gravel sample; judging whether the comprehensive roundness of the sand and gravel sample is greater than the roundness threshold, if so, executing S3; if not, sending an instruction to the crushing and shaping equipment to continue processing the sand and gravel; S3, dividing the sand and gravel sample into a first sand and gravel sample and a second sand and gravel sample, and obtaining a plurality of first sand and gravel sub-sample groups after screening the first sand and gravel sample; taking the average of the compressive strengths of the plurality of first sand and gravel sub-sample groups as the compressive strength value of the sand and gravel sample; According to the difference between the compressive strength value of the sandstone sample and the standard value of the compressive strength of the sandstone, the compressive strength score of the sandstone sample is obtained; Determine whether the compressive strength score of the sandstone sample is greater than the compressive strength score threshold; if so, execute S4 for the second sandstone sample; If it is not greater than, an instruction is sent to the crushing and shaping equipment to continue processing the sand and gravel; S4. Obtain the moisture content of the second sand and gravel sample as the moisture content of the sand and gravel sample; obtain the comprehensive value of the sand and gravel sample based on the moisture content of the sand and gravel sample, the compressive strength value of the sand and gravel sample, the comprehensive roundness of the sand and gravel sample and the grading degree of the sand and gravel sample; The comprehensive value of sand and gravel samples is obtained by the following formula: ， is the comprehensive value of sand and gravel samples, , , , They are respectively the weight of the water content of the sand and gravel sample, the water content of the sand and gravel sample, and the maximum and minimum water content within the standard water content range. , , They are the weight of the compressive strength value of sand and gravel, the compressive strength value of sand and gravel samples, and the standard value of the compressive strength of sand and gravel. , , , is the roundness weight of sand and gravel, the comprehensive roundness of sand and gravel samples, and the maximum and minimum roundness values ​​within the range of standard sand and gravel roundness. , , , It is the maximum and minimum values ​​of the sand and gravel grading weight, the sand and gravel sample grading, and the sand and gravel grading within the standard sand and gravel grading range; The grade of sand and gravel samples is obtained according to the correspondence between the comprehensive value of sand and gravel samples and the sand and gravel sample grade table.

2. The method for evaluating the quality of sand and stone after crushing and screening according to claim 1, characterized in that: In S1, the operation of obtaining the sand and gravel particle size is specifically as follows: The sand and gravel sample image is gray-scaled to obtain a sand and gravel gray-scale image; the sand and gravel gray-scale image is binarized after noise is removed to obtain a sand and gravel binary image; the edge information of sand and gravel particles in the sand and gravel binary image is obtained based on the edge detection algorithm, and the edges of the sand and gravel particles in the binary image are enhanced according to the edge information to obtain a sand and gravel edge enhanced image; the sand and gravel edge enhanced image is processed based on the region growing algorithm, the adhered sand and gravel particle area is segmented to obtain several segmented closed areas, and the average length of the line segments in several directions on each segmented closed area is obtained as the particle size of the sand and gravel corresponding to the segmented closed area, and several sand and gravel particle sizes are obtained.

3. The method for evaluating the quality of sand and stone after crushing and screening according to claim 1, characterized in that: In S1, the number of corresponding sand and gravel grains is counted in order from small to large to form a table; D10, D50 and D90 are obtained based on the table information; When D10, D50 or D90 cannot be directly obtained from the initial information of the table, the particle size information before D10, D50 or D90 and the particle size information after D10, D50 or D90 are interpolated to obtain D10, D50 or D90; The interpolation process is implemented by the following formula: ， i The first particle size among all the particle sizes in the table sorted from small to large i sort value, For no more than i The cumulative particle size distribution corresponding to each ranking value is 10%, 50%, or 90%; For the i The ranking values ​​correspond to the particle size, which is D10, or D50 and D90; , Not more than i -1 ranking value corresponds to the cumulative particle size distribution and the i -1 ranking value corresponds to particle size; , Not more than i +1 ranking value corresponds to the cumulative particle size distribution and the i The +1 ranking value corresponds to the particle size.

4. The method for evaluating the quality of sand and stone after crushing and screening according to claim 1, characterized in that: In S1, the grading degree of sand and gravel samples It is calculated by the following formula: 。 5. The method for evaluating the quality of sand and stone after crushing and screening according to claim 1, characterized in that: In S2, the method for obtaining the roundness of sand and gravel is specifically as follows: The sand and gravel sample image is subjected to grayscale processing, denoising, binarization, edge detection algorithm processing, edge enhancement and connected domain analysis to obtain a number of segmented closed areas; the ratio of the maximum and minimum line segment lengths in each closed area is obtained as the roundness of the sand and gravel corresponding to the segmented closed area.

6. The method for evaluating the quality of sand and stone after crushing and screening according to claim 1, characterized in that: In S3, the operation of obtaining the compressive strength score of the sandstone sample is specifically as follows: when hour, , when- hour, , when hour, , Score the compressive strength of sandstone samples. is the compressive strength value of the sandstone sample, is the standard value of compressive strength of sand and gravel, is the deviation coefficient, which is a positive number.

7. A system for evaluating the quality of sand and stone after crushing and screening, used to implement the method for evaluating the quality of sand and stone after crushing and screening according to claim 1, characterized in that: include: The sand and gravel sample grading generation and judgment module collects sand and gravel samples from the sand and gravel discharge port of the crushing and shaping equipment, obtains sand and gravel sample images, and obtains sand and gravel sample images; obtains sand and gravel particle sizes based on the sand and gravel sample images, and obtains D10, D50 and D90; D10, D50 and D90 are the particle size values ​​corresponding to when all sand and gravel are arranged from small to large in terms of particle size, and the cumulative particle size distribution reaches 10%, 50% and 90% of the total number; based on D10, D50 and D90, obtains the sand and gravel sample grading; and judges whether the sand and gravel sample grading is greater than the grading threshold; If it is greater than that, the sand and gravel sample comprehensive roundness generation and judgment module is executed; If it is not greater than, an instruction is sent to the crushing and shaping equipment to continue processing the sand and gravel; The sand and gravel sample comprehensive roundness generation and judgment module obtains the sand and gravel roundness based on the sand and gravel sample image and takes the average value as the comprehensive roundness of the sand and gravel sample; Determine whether the comprehensive roundness of the sandstone sample is greater than the roundness threshold. If so, execute the sandstone sample compressive strength value generation and judgment module; If it is not greater than, an instruction is sent to the crushing and shaping equipment to continue processing the sand and gravel; The sand and gravel sample compressive strength value generation and judgment module divides the sand and gravel sample into a first sand and gravel sample and a second sand and gravel sample, and obtains a plurality of first sand and gravel sub-sample groups after screening the first sand and gravel sample; and takes the average compressive strength of the plurality of first sand and gravel sub-sample groups as the compressive strength value of the sand and gravel sample; According to the difference between the compressive strength value of the sandstone sample and the standard value of the compressive strength of the sandstone, the compressive strength score of the sandstone sample is obtained; Determine whether the compressive strength score of the sandstone sample is greater than the compressive strength score threshold; if so, the second sandstone sample executes the sandstone sample grade generation module; If it is not greater than, an instruction is sent to the crushing and shaping equipment to continue processing the sand and gravel; The sand and gravel sample grade generation module obtains the water content of the second sand and gravel sample as the water content of the sand and gravel sample; based on the water content of the sand and gravel sample, the compressive strength value of the sand and gravel sample, the comprehensive roundness of the sand and gravel sample and the grading degree of the sand and gravel sample, the comprehensive value of the sand and gravel sample is obtained; The grade of sand and gravel samples is obtained according to the correspondence between the comprehensive value of sand and gravel samples and the sand and gravel sample grade table.

8. A device for evaluating the quality of sand and gravel after crushing and screening, characterized in that: It comprises a processor and a memory, wherein when the processor executes the computer program stored in the memory, the method for evaluating the quality of sand and gravel after crushing and screening as described in any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: Used to store a computer program, wherein when the computer program is executed by a processor, the method for evaluating the quality of sand and gravel after crushing and screening as described in any one of claims 1 to 6 is implemented.

Images