A detection method, system, electronic device and storage medium for machine-made sand

By using the coarse sand ratio database and screening process in the detection of machined sand, the problem of difficulty in detecting machined sand in the existing technology is solved, and more accurate and efficient quality inspection is achieved, ensuring the substitution of machined sand.

CN119492661BActive Publication Date: 2025-04-25CHINA RAILWAY 16TH BUREAU GRP CO LTD +1
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Patent Information

Application Number
CN202510072408.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-17
Publication Date
2025-04-25
Estimated Expiration
2045-01-17

AI Technical Summary

Technical Problem

The existing technology is difficult to effectively detect the quality of machine sand, which affects the application of machine sand in replacing natural river sand.

Method used

By determining the initial coarse sand ratio grading based on the coarse sand ratio database, the coarse sand ratio control process is divided into the first dimension range, the second dimension range and the third dimension range, the corresponding aggregate is obtained, and the weight of the screen residual mechanism sand corresponding to each key size is recorded through the screening process, and the mass of the candidate mechanism sand is finally detected based on these weights.

Benefits of technology

The accuracy and effectiveness of the quality inspection of the machined sand is improved, and the quality of the machined sand is ensured that the quality of the machined sand meets the requirements, thereby improving the reliability of replacing natural river sand.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The embodiment of the present application provides a detection method, system, electronic device and storage medium for artificial sand, which belongs to the field of artificial sand detection technology. The method includes: determining the initial coarse sand ratio gradation according to the coarse sand ratio database, and dividing the coarse sand ratio control processing into the first size range, the second size range and the third size range according to the initial coarse sand ratio gradation; obtaining at least one first key dimension from the first size range, obtaining at least one second key dimension from the second size range, and obtaining at least one third key dimension from the third size range; screening the candidate artificial sand according to each first key dimension, the second key dimension and the third key dimension in turn, and recording the corresponding weight of the residual artificial sand; detecting the quality of the candidate artificial sand according to the corresponding weight of the residual artificial sand, so that the accuracy of the quality detection of the artificial sand can be improved, and the quality detection effect of the artificial sand can be improved.
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Description

Technical Field

[0001] The present application relates to the technical field of machine-made sand detection, and in particular to a method, system, electronic device and storage medium for detecting machine-made sand. Background Art

[0002] The existing river sand mining process is very likely to cause damage to the ecological environment. In order to protect the environment, it is necessary to reduce river sand mining. It has become an inevitable trend to replace natural river sand with machine-made sand. The existing machine-made sand technology includes dry sand making and wet sand making. The quality of machine-made sand depends first on the hardness of the stone itself, and secondly on the fineness modulus, gradation, sub-blue value, and stone powder content of the sand. How to detect the quality of machine-made sand has become an urgent problem to be solved. Summary of the invention

[0003] In order to solve the above technical problems, the embodiments of the present application provide a method, system, electronic device and storage medium for detecting machine-made sand.

[0004] In a first aspect, an embodiment of the present application provides a method for detecting machine-made sand, the method comprising:

[0005] Determine an initial coarse sand ratio gradation according to a coarse sand ratio database, divide the coarse sand ratio control process into a first size range, a second size range and a third size range according to the initial coarse sand ratio gradation, and obtain aggregates corresponding to the first size range, aggregates corresponding to the second size range and aggregates corresponding to the third size range;

[0006] Acquire at least one first critical dimension from the first size range, acquire at least one second critical dimension from the second size range, and acquire at least one third critical dimension from the third size range;

[0007] Aggregates corresponding to the first size range, aggregates corresponding to the second size range, and aggregates corresponding to the third size range are mixed as candidate machine-made sands, and the candidate machine-made sands are screened according to the first key sizes, the second key sizes, and the third key sizes in sequence, and the weight of the machine-made sand residue corresponding to the first key sizes, the weight of the machine-made sand residue corresponding to the second key sizes, and the weight of the machine-made sand residue corresponding to the third key sizes are recorded;

[0008] The quality of the candidate manufactured sand is detected according to the weight of the manufactured sand with screen residue corresponding to each of the first critical dimensions, the weight of the manufactured sand with screen residue corresponding to each of the second critical dimensions, and the weight of the manufactured sand with screen residue corresponding to each of the third critical dimensions.

[0009] In one embodiment, the detecting the quality of the candidate machine-made sand according to the weight of the machine-made sand with screen residue corresponding to each of the first critical dimensions, the weight of the machine-made sand with screen residue corresponding to each of the second critical dimensions, and the weight of the machine-made sand with screen residue corresponding to each of the third critical dimensions comprises:

[0010] According to the weight of the screen residue machine-made sand corresponding to each of the first key dimensions, the weight of the screen residue machine-made sand corresponding to each of the second key dimensions, the weight of the screen residue machine-made sand corresponding to each of the third key dimensions and the total mass of the candidate machine-made sand, respectively obtain the cumulative screen residue percentage of the screen residue machine-made sand corresponding to each of the first key dimensions, the cumulative screen residue percentage of the screen residue machine-made sand corresponding to each of the second key dimensions, and the cumulative screen residue percentage of the screen residue machine-made sand corresponding to each of the third key dimensions;

[0011] The quality of the candidate artificial sand is determined based on the cumulative residual percentage of the artificial sand corresponding to each of the first critical dimensions, the cumulative residual percentage of the artificial sand corresponding to each of the second critical dimensions, the cumulative residual percentage of the artificial sand corresponding to each of the third critical dimensions and the preset cumulative residual condition.

[0012] In one embodiment, the preset cumulative residue conditions include: a cumulative percentage range of residues in zone I, a cumulative percentage range of residues in zone II, and a cumulative percentage range of residues in zone III;

[0013] The method of determining the quality of the candidate machine-made sand according to the cumulative residual percentage of the machine-made sand corresponding to each of the first key dimensions, the cumulative residual percentage of the machine-made sand corresponding to each of the second key dimensions, the cumulative residual percentage of the machine-made sand corresponding to each of the third key dimensions and a preset cumulative residual condition comprises:

[0014] If the cumulative residue percentage of the machine-made sand corresponding to each of the first critical dimensions, the cumulative residue percentage of the machine-made sand corresponding to each of the second critical dimensions, and the cumulative residue percentage of the machine-made sand corresponding to each of the third critical dimensions meet any one of the cumulative residue percentage ranges of zone I, the cumulative residue percentage ranges of zone II, and the cumulative residue percentage ranges of zone III, it is determined that the quality of the candidate machine-made sand meets the requirements of machine-made sand.

[0015] In one embodiment, the preset cumulative residue condition includes: a preset residue upper limit curve and a preset residue lower limit curve;

[0016] The method of determining the quality of the candidate machine-made sand according to the cumulative residual percentage of the machine-made sand corresponding to each of the first key dimensions, the cumulative residual percentage of the machine-made sand corresponding to each of the second key dimensions, the cumulative residual percentage of the machine-made sand corresponding to each of the third key dimensions and a preset cumulative residual condition comprises:

[0017] According to the cumulative residual percentages of the screen residue machine-made sand corresponding to each of the first critical dimensions, the cumulative residual percentages of the screen residue machine-made sand corresponding to each of the second critical dimensions, and the cumulative residual percentages of the screen residue machine-made sand corresponding to each of the third critical dimensions, a cumulative residual curve is obtained by fitting;

[0018] If the cumulative residue curve is located within the range divided by the preset residue upper limit curve and the preset residue lower limit curve, it is determined that the quality of the candidate machine-made sand meets the requirements of machine-made sand.

[0019] In one embodiment, the method comprises:

[0020] If the cumulative residual percentage of the screen residue machine-made sand corresponding to each of the first critical dimensions, the cumulative residual percentage of the screen residue machine-made sand corresponding to each of the second critical dimensions, and the cumulative residual percentage of the screen residue machine-made sand corresponding to each of the third critical dimensions do not meet any of the cumulative residual percentage range of the zone I, the cumulative residual percentage range of the zone II, and the cumulative residual percentage range of the zone III, it is determined that the quality of the candidate machine-made sand does not meet the machine-made sand requirements;

[0021] If the cumulative residue curve exceeds the range divided by the preset residue upper limit curve and the preset residue lower limit curve, it is determined that the quality of the candidate machine-made sand does not meet the machine-made sand requirements;

[0022] If the quality of the candidate machine-made sand does not meet the machine-made sand requirement, the residual weight of the machine-made sand corresponding to each of the first key dimensions, the residual weight of the machine-made sand corresponding to each of the second key dimensions, and the residual weight of the machine-made sand corresponding to each of the third key dimensions are compared with the preset cumulative residual weight condition;

[0023] The fine particle proportion of the cyclone of the sand washing and recovery machine is controlled according to the screen residue deviation, so that the fine sand in the fourth size range in the candidate machine-made sand is recovered through the cyclone to obtain the final machine-made sand that meets the requirements of machine-made sand, and the first size range, the second size range, the third size range and the fourth size range are different.

[0024] In one embodiment, candidate parent materials are obtained according to surrounding rocks, and the candidate parent materials are poured into a raw material bin;

[0025] The candidate parent materials in the raw material bin are transported to the pre-screening device by a feeder;

[0026] The candidate parent material is pre-screened by the pre-screening device to obtain aggregates with a particle size greater than 100 mm and aggregates with a particle size less than 100 mm, the aggregates with a particle size greater than 100 mm are placed in a jaw crusher for crushing, and the aggregates with a particle size less than 100 mm enter a pre-screening vibrating screen, wherein the aggregates with a particle size greater than 30 mm after screening by the pre-screening vibrating screen are transferred to a multi-cylinder cone crusher through a transfer bin and a high-level silo, the aggregates with a particle size less than 10 mm after screening by the pre-screening vibrating screen are discarded as slag, the aggregates with a particle size of 10-30 mm after screening by the pre-screening vibrating screen enter a first shaping sand making machine, and the aggregates with a particle size of 0-5 mm output by the first shaping sand making machine are washed by a sand washing machine and enter a finished machine-made sand silo with a particle size of 0-5 mm;

[0027] The aggregate crushed by the jaw crusher enters the transfer bin and is transferred to the single-cylinder cone crusher for crushing;

[0028] The crushed aggregate is transferred to the first vibrating screen for screening through the single-cylinder cone crusher discharging belt conveyor; the aggregate with a particle size of more than 31.5 mm screened out by the first vibrating screen is returned to the high-level silo and transferred to the multi-cylinder cone crusher for further crushing, and then continues to enter the first vibrating screen for screening to obtain aggregate with a particle size of less than 31.5 mm and input into the first shaping sand making machine, and the aggregate is shaped by the first shaping sand making machine and then input into the second vibrating screen, and the second vibrating screen is used to screen out aggregate with a particle size of 20-31.5 mm, aggregate with a particle size of 10-20 mm, and aggregate with a particle size of 0-10 mm;

[0029] Aggregates with a particle size of 0-10 mm screened out by the second vibrating screen enter the second shaping sand making machine for shaping and sand making, and aggregates with a particle size of 20-31.5 mm and aggregates with a particle size of 10-20 mm screened out by the second vibrating screen all or partly enter the second shaping sand making machine for shaping and sand making;

[0030] The aggregate crushed by the second shaping sand making machine is screened by the third vibrating screen and the aggregate with a particle size of 0-5mm is cleaned by the sand washing machine and then enters the 0-5mm particle size machine-made sand finished product silo; the aggregate with a particle size of 5-10mm screened by the third vibrating screen is returned to the sand making machine.

[0031] In one embodiment, obtaining candidate parent materials according to surrounding rocks includes:

[0032] Determine a plurality of reference surrounding rocks having a compressive strength greater than or equal to a preset compressive strength threshold, obtain a reference image of each of the reference surrounding rocks, and obtain a reference image feature of each reference image;

[0033] Acquire a current surrounding rock image and extract key image features of the surrounding rock image;

[0034] Calculating the feature similarity between the key image feature and the reference image feature, and when the feature similarity is less than a preset similarity, determining that the current surrounding rock compressive strength is less than the preset compressive strength threshold, and stopping collecting parent material in the current surrounding rock;

[0035] When the feature similarity is greater than or equal to the preset similarity, determining that the current surrounding rock compressive strength is greater than or equal to the preset compressive strength threshold, and determining to collect parent material in the current surrounding rock;

[0036] When the transport vehicle transports the collected parent materials to the storage yard, the parent materials on the transport vehicle are identified by a scanning device to obtain the size information and impurity information of the parent materials;

[0037] Control the transport vehicle to unload the parent material to a corresponding parent material yard according to the parent material size information as the candidate parent material;

[0038] The transport vehicle is controlled according to the impurity information to unload the impurities to the corresponding impurity yard.

[0039] In a second aspect, an embodiment of the present application provides a detection system for machine-made sand, the system comprising:

[0040] A determination module is used to determine an initial coarse sand ratio gradation according to a coarse sand ratio database, and to divide the coarse sand ratio control processing into a first size range, a second size range, and a third size range according to the initial coarse sand ratio gradation, so as to obtain aggregates corresponding to the first size range, aggregates corresponding to the second size range, and aggregates corresponding to the third size range;

[0041] An acquisition module, acquiring at least one first critical dimension from the first size range, acquiring at least one second critical dimension from the second size range, and acquiring at least one third critical dimension from the third size range;

[0042] a screening module, mixing aggregates corresponding to the first size range, aggregates corresponding to the second size range, and aggregates corresponding to the third size range as candidate machine-made sands, screening the candidate machine-made sands according to the first key sizes, the second key sizes, and the third key sizes in sequence, and recording the weight of the machine-made sand residue corresponding to the first key sizes, the weight of the machine-made sand residue corresponding to the second key sizes, and the weight of the machine-made sand residue corresponding to the third key sizes;

[0043] The detection module is used to detect the quality of the candidate artificial sand according to the weight of the screen residue artificial sand corresponding to each of the first key dimensions, the weight of the screen residue artificial sand corresponding to each of the second key dimensions, and the weight of the screen residue artificial sand corresponding to each of the third key dimensions.

[0044] In a third aspect, an embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory is used to store a computer program, and when the computer program is run by the processor, the method for detecting artificial sand provided in the first aspect is executed.

[0045] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program, which, when executed on a processor, executes the method for detecting machine-made sand provided in the first aspect.

[0046] The above-mentioned machine-made sand detection method, system, electronic device and storage medium provided by the present application determine the initial coarse sand ratio gradation according to the coarse sand ratio database, and divide the coarse sand ratio control processing into a first size range, a second size range and a third size range according to the initial coarse sand ratio gradation, so as to obtain aggregates corresponding to the first size range, aggregates corresponding to the second size range and aggregates corresponding to the third size range; obtain at least one first key size from the first size range, obtain at least one second key size from the second size range, and obtain at least one third key size from the third size range; the aggregates corresponding to the first size range, the aggregates corresponding to the second size range and the third size range are obtained. Aggregates corresponding to the range are mixed as candidate artificial sands, and the candidate artificial sands are screened according to the first key dimensions, the second key dimensions and the third key dimensions in sequence, and the weight of the artificial sand residue corresponding to the first key dimensions, the weight of the artificial sand residue corresponding to the second key dimensions and the weight of the artificial sand residue corresponding to the third key dimensions are recorded; the quality of the candidate artificial sand is detected according to the weight of the artificial sand residue corresponding to the first key dimensions, the weight of the artificial sand residue corresponding to the second key dimensions and the weight of the artificial sand residue corresponding to the third key dimensions. In this way, the accuracy of quality detection of artificial sand can be improved, and the quality detection effect of artificial sand can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present application and should not be regarded as limiting the scope of protection of the present application. In each of the drawings, similar components are numbered similarly.

[0048] Figure 1 A structural schematic diagram of a machine-made sand production system provided in an embodiment of the present application is shown;

[0049] Figure 2 A schematic diagram of a process of detecting machine-made sand provided in an embodiment of the present application is shown;

[0050] Figure 3Another schematic diagram of the process of detecting machine-made sand provided in an embodiment of the present application is shown;

[0051] Figure 4 A schematic diagram of a cumulative screen residue curve provided in an embodiment of the present application is shown;

[0052] Figure 5 Another schematic diagram of the process of detecting machine-made sand provided in an embodiment of the present application is shown;

[0053] Figure 6 A structural schematic diagram of a machine-made sand detection system provided in an embodiment of the present application is shown.

[0054] Icons: 100: linear feeder, 200: soil removal screen, 300: jaw crusher, 400: abandoned soil pile, 500: transfer bin, 600: high-level silo, 700: single-cylinder cone crusher, 701: multi-cylinder cone crusher, 800: first vibrating screen, 900: first shaping sand making machine, 901: second shaping sand making machine, 1000: second vibrating screen, 1100: sewage treatment system, 1200: sand making buffer bin, 1300: third vibrating screen, 1400: sand washing machine, 1600: machine-made sand detection system, 1601: determination module, 1602: acquisition module, 1603: screening module, 1604: detection module. DETAILED DESCRIPTION

[0055] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0056] The components of the embodiments of the present application generally described and shown in the drawings herein may be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0057] Unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meanings as those generally understood by those skilled in the art to which the various embodiments of the present application belong. The terms (such as those defined in generally used dictionaries) will be interpreted as having the same meanings as the contextual meanings in the relevant technical field and will not be interpreted as having idealized meanings or overly formal meanings unless clearly defined in the various embodiments of the present application.

[0058] Example 1

[0059] The embodiment of the present application provides a method for detecting machine-made sand, which is used to detect the quality of machine-made sand and improve the quality pass rate of machine-made sand.

[0060] The detection method of machine-made sand of this embodiment is applied to the machine-made sand production system, which includes a jaw crusher, a cone crusher, a vibrating screen, a vibrating screen and a sand making machine. This production line adopts a sand and gravel co-production process, which includes a soil removal system, a feeding system, a crushing system, a screening system, a shaping sand making system, a conveying system, a production information system, an equipment control system, a dust removal system, and a sewage treatment system. Among them, the crushing system can adopt three-stage crushing including coarse crushing, medium crushing and fine crushing, as well as a shaping sand making process.

[0061] Combine the following Figure 1 The machine-made sand production system of this embodiment is described. The linear feeder 100 can be a ZSW6015 linear feeder with a power of 37KW. When the masterbatch does not contain slag, the linear feeder 100 can transport the masterbatch to the jaw crusher 300. When the masterbatch contains slag, the linear feeder 100 can transport the masterbatch to the soil removal screen 200. After the soil removal screen 200 removes the slag, the abandoned soil pile 400 is obtained and the masterbatch without the slag is transported to the jaw crusher 300 and / or the transfer bin 500. Among them, the soil removal screen 200 can be a 2JSYZ2470 soil removal screen with a power of 30KW / unit. The jaw crusher 300 can be a JSPE900×1200 jaw crusher with a power of 130KW / unit. The jaw crusher 300 can transport the crushed aggregate to the transfer bin 500.

[0062] The aggregate in the transfer bin 500 is removed from the ferromagnetic impurities mixed in the material by the iron remover 501, ensuring the safe and normal operation of the crusher, vibrating screen and other mechanical equipment in the production system. At the same time, it can effectively prevent the accident of the conveyor belt being scratched by oversized iron parts, and significantly improve the grade of the aggregate obtained after the iron removal treatment. The iron remover 501 transports the processed aggregate to the high-level silo 600. The high-level silo 600 transports the aggregate to the cone crusher 700. The cone crusher 700 performs a rough crushing treatment on the aggregate and inputs the aggregate into the first vibrating screen 800, which can be a 2JSYZ3080 vibrating screen with a power of 55KW / unit. The first vibrating screen 800 screens the aggregates, and the aggregates with a particle size greater than 315 mm are transported to the high-level silo 600, and the aggregates with a particle size less than 315 mm are transported to the first shaping sand making machine 900, which can be JSWSI1140, and its power is 220KW×2 / unit.

[0063] The first shaping sand making machine 900 crushes and shapes the aggregate, and transports the crushed and shaped aggregate to the second vibrating screen 1000, which can be a 3JSYZ3080 vibrating screen with a power of 37KW×2 / set. The second vibrating screen 1000 screens the aggregate into aggregates with a particle size of 20-31.5mm, aggregates with a particle size of 10-20mm, and aggregates with a particle size of 5-10mm. Aggregates with a particle size of 0-5mm are input into the sewage treatment system 1100, which washes the aggregates with a particle size of 0-5mm and compresses them into mud cakes. The second vibrating screen 1000 transports part or all of the aggregates with a particle size of 10-20mm and part or all of the aggregates with a particle size of 5-10mm to the sand making buffer bin 1200. The sand making buffer bin 1200 transports the aggregate to the second shaping sand making machine 901, which can be a JSVSI1140 sand making machine with a power of 220KW×2 / unit, and is used to make and shape the aggregate, and input the processed aggregate into the third vibrating screen 1300, which can be a 2JSYZ3080 vibrating screen with a power of 55KW / unit, and is used to transport the machine-made sand with a particle size greater than 5mm to the sand making buffer bin 1200, and transport the machine-made sand with a particle size less than or equal to 5mm to the wheel sand washing machine 1400, which can be a 3020-1842 wheel sand washing machine with a power of 15KW / unit. The sand washing machine 1400 outputs the corresponding machine-made sand, and the machine-made sand detection method of this embodiment realizes the quality detection of the machine-made sand.

[0064] join Figure 2 The method for detecting machine-made sand includes steps S101 to S104, and each step is described below.

[0065] Step S101, determining an initial coarse sand ratio gradation according to a coarse sand ratio database, and performing coarse sand ratio control processing according to the initial coarse sand ratio gradation into a first size range, a second size range, and a third size range, to obtain aggregates corresponding to the first size range, aggregates corresponding to the second size range, and aggregates corresponding to the third size range.

[0066] In this embodiment, the first size range, the second size range and the third size range can be set according to actual needs, machine-made sand experience, equipment configuration parameters, etc. Exemplarily, the first size range is a particle size of 10-5 mm, the second size range is a particle size of 3-5 mm, and the third size range is a particle size less than 3 mm. The first size range, the second size range and the third size range can also be other values, which are not limited here.

[0067] In this embodiment, the production data in the process of producing machine-made sand is recorded, and a coarse sand ratio database is generated according to the production data, and the coarse sand ratio database includes the quality test results of machine-made sand under each coarse sand ratio gradation. Exemplarily, the coarse sand ratio database includes a plurality of coarse sand ratio gradations corresponding to the first size range, the second size range and the third size range, and the quality test results of machine-made sand obtained according to each coarse sand ratio gradation, and the quality test results include label data of whether the machine-made sand obtained by each coarse sand ratio gradation meets the quality requirements of machine-made sand in zone I, machine-made sand in zone II and machine-made sand in zone III. Further, the label data includes whether the machine-made sand obtained by each coarse sand ratio gradation meets the cumulative percentage range of screen residue in zone I, the cumulative percentage range of screen residue in zone II and the cumulative percentage range of screen residue in zone III, and / or whether the machine-made sand obtained by each coarse sand ratio gradation meets the range divided by the preset screen residue upper limit curve and the preset screen residue lower limit curve. The coarse sand ratio database is generated according to the production data, and the coarse sand ratio database is stored in the server.

[0068] It is additionally noted that the machine-made sand production system of this embodiment may further include a fine sand recovery machine, which includes a cyclone, through which the loss of fine sand is reduced, and fine sand with a particle size of 0.6 mm is recovered to achieve fine particle ratio control. By controlling the ratio of machine-made sand to coarse sand and the ratio of fine sand, the quality of machine-made sand is stabilized to meet the requirements of standard construction sand.

[0069] According to the quality requirements of machine-made sand, the initial coarse sand ratio gradation that meets the requirements of machine-made sand in zone I, zone II or zone III is determined from the coarse sand ratio database, and the coarse sand ratio control processing is divided into the first size range, the second size range and the third size range according to the initial coarse sand ratio gradation to obtain the aggregate corresponding to the first size range, the aggregate corresponding to the second size range and the aggregate corresponding to the third size range. Exemplarily, the machine-made sand corresponding to the first size range, the second size range and the third size range can be screened by a vibrating screen according to the initial coarse sand ratio gradation.

[0070] Step S102, obtaining at least one first critical dimension from the first size range, obtaining at least one second critical dimension from the second size range, and obtaining at least one third critical dimension from the third size range.

[0071] In this embodiment, at least one first critical dimension can be obtained from the first size range of particle size 10-5mm; at least one second critical dimension can be obtained from the second size range of particle size 3-5mm; and at least one third critical dimension can be obtained from the third size range of particle size less than 3mm. Exemplarily, the first critical dimension includes: particle size 5mm, the second size range includes: particle size 2.5mm, and the third size range includes: particle sizes 1.25mm, 0.63mm, 0.315mm, and 0.160mm. The first critical dimension, the second critical dimension, and the third critical dimension can also be other values, which are not limited here.

[0072] Step S103: Mix the aggregates corresponding to the first size range, the aggregates corresponding to the second size range and the aggregates corresponding to the third size range as candidate artificial sands, screen the candidate artificial sands according to the first critical dimensions, the second critical dimensions and the third critical dimensions in sequence, and record the weight of the artificial sand residue corresponding to the first critical dimensions, the weight of the artificial sand residue corresponding to the second critical dimensions and the weight of the artificial sand residue corresponding to the third critical dimensions.

[0073] Demonstratively, the candidate artificial sand is screened according to the first critical size particle size of 5mm, the second critical size particle size of 2.5mm, and the third critical size particle size of 1.25mm, 0.63mm, 0.315mm, and 0.160mm, and the weight of the screened artificial sand with particle sizes of 5mm, 2.5mm, 1.25mm, 0.63mm, 0.315mm, and 0.160mm is recorded.

[0074] Step S104, detecting the quality of the candidate manufactured sand according to the weight of the manufactured sand with screen residue corresponding to each of the first critical dimensions, the weight of the manufactured sand with screen residue corresponding to each of the second critical dimensions, and the weight of the manufactured sand with screen residue corresponding to each of the third critical dimensions.

[0075] Demonstratively, the quality of the candidate artificial sand is evaluated whether it meets the quality requirements of artificial sand in Zones I, II and III based on the recorded weight of the residual artificial sand with particle sizes of 5mm, 2.5mm, 1.25mm, 0.63mm, 0.315mm and 0.160mm.

[0076] join Figure 3 , step S104 includes step S1041-step S1042, and each step is described below.

[0077] Step S1041, based on the weight of the screened sand corresponding to each of the first critical dimensions, the weight of the screened sand corresponding to each of the second critical dimensions, the weight of the screened sand corresponding to each of the third critical dimensions and the total mass of the candidate artificial sand, respectively obtain the cumulative screened percentage of the screened sand corresponding to each of the first critical dimensions, the cumulative screened percentage of the screened sand corresponding to each of the second critical dimensions, and the cumulative screened percentage of the screened sand corresponding to each of the third critical dimensions.

[0078] Exemplarily, according to the weight of the residual artificial sand with particle sizes of 5mm, 2.5mm, 1.25mm, 0.63mm, 0.315mm and 0.160mm and the total weight of the candidate artificial sand, the cumulative residual percentage of the residual artificial sand with particle sizes of 5mm, 2.5mm, 1.25mm, 0.63mm, 0.315mm and 0.160mm is determined respectively.

[0079] Step S1042, determines the quality of the candidate artificial sand according to the cumulative residual percentage of the artificial sand corresponding to each of the first critical dimensions, the cumulative residual percentage of the artificial sand corresponding to each of the second critical dimensions, the cumulative residual percentage of the artificial sand corresponding to each of the third critical dimensions and the preset cumulative residual condition.

[0080] In one embodiment, the preset cumulative screening condition includes: a cumulative screening percentage range of zone I, a cumulative screening percentage range of zone II, and a cumulative screening percentage range of zone III. The cumulative screening percentage range of zone I, the cumulative screening percentage range of zone II, and the cumulative screening percentage range of zone III can be determined according to the actual situation of the customer and / or various standards.

[0081] For example, see Table 1 below, which is an example table of cumulative percentage ranges of screen residues.

[0082]

[0083] In one embodiment, step S1042 includes:

[0084] If the cumulative residue percentage of the machine-made sand corresponding to each of the first critical dimensions, the cumulative residue percentage of the machine-made sand corresponding to each of the second critical dimensions, and the cumulative residue percentage of the machine-made sand corresponding to each of the third critical dimensions meet any one of the cumulative residue percentage ranges of zone I, the cumulative residue percentage ranges of zone II, and the cumulative residue percentage ranges of zone III, it is determined that the quality of the candidate machine-made sand meets the requirements of machine-made sand.

[0085] For example, the cumulative percentages of sieve residues of the machine-made sand to be inspected are: 9% for machine-made sand with a particle size greater than or equal to 5.00 mm, 34% for machine-made sand with a particle size greater than or equal to 2.5 mm, 63% for machine-made sand with a particle size greater than or equal to 1.25 mm, 80% for machine-made sand with a particle size greater than or equal to 0.63 mm, 85% for machine-made sand with a particle size greater than or equal to 0.32 mm, and 95% for machine-made sand with a particle size greater than or equal to 0.16 mm. The quality of the machine-made sand to be inspected meets the requirements for machine-made sand in Zone I.

[0086] For example, the cumulative percentage of sieve residue of machine-made sand with a particle size greater than or equal to 5.00 mm is 9%, the cumulative percentage of sieve residue of machine-made sand with a particle size greater than or equal to 2.5 mm is 20%, the cumulative percentage of sieve residue of machine-made sand with a particle size greater than or equal to 1.25 mm is 49%, the cumulative percentage of sieve residue of machine-made sand with a particle size greater than or equal to 0.63 mm is 65%, the cumulative percentage of sieve residue of machine-made sand with a particle size greater than or equal to 0.32 mm is 85%, and the cumulative percentage of sieve residue of machine-made sand with a particle size greater than or equal to 0.16 mm is 93%. The quality of the machine-made sand to be inspected meets the requirements for machine-made sand in Zone II.

[0087] For example, the cumulative percentage of sieve residue of machine-made sand with a particle size greater than or equal to 5.00 mm is 8%, the cumulative percentage of sieve residue of machine-made sand with a particle size greater than or equal to 2.5 mm is 20%, the cumulative percentage of sieve residue of machine-made sand with a particle size greater than or equal to 1.25 mm is 24%, the cumulative percentage of sieve residue of machine-made sand with a particle size greater than or equal to 0.63 mm is 30%, the cumulative percentage of sieve residue of machine-made sand with a particle size greater than or equal to 0.32 mm is 70%, and the cumulative percentage of sieve residue of machine-made sand with a particle size greater than or equal to 0.16 mm is 93%. The quality of the machine-made sand to be inspected does not meet the quality requirements of machine-made sand in Zones I, II, and III.

[0088] It should be noted that, in this embodiment, the cumulative percentage of screen residue corresponding to each particle size can be compared with the value in the cumulative percentage range table of screen residue, and whether the comparison result belongs to the cumulative percentage interval can be determined to determine whether the artificial sand to be tested meets the quality requirements of artificial sand in zones I, II, and III.

[0089] If it is determined that the machine-made sand to be tested does not meet the quality requirements of machine-made sand in Zones I, II and III, the cumulative percentage of screen residue can be adjusted by adding machine-made sand of corresponding particle size until the quality requirements of machine-made sand in Zones I, II and III are met.

[0090] It should be noted that if the cumulative residual percentage of the residual mechanical sand corresponding to each of the first key dimensions, the cumulative residual percentage of the residual mechanical sand corresponding to each of the second key dimensions, and the cumulative residual percentage of the residual mechanical sand corresponding to each of the third key dimensions do not meet any of the cumulative residual percentage ranges of the zone I, the cumulative residual percentage ranges of the zone II, and the cumulative residual percentage ranges of the zone III, it is determined that the quality of the candidate mechanical sand does not meet the mechanical sand requirements. If the quality of the candidate mechanical sand does not meet the mechanical sand requirements, the residual deviation between the weight of the residual mechanical sand corresponding to each of the first key dimensions, the weight of the residual mechanical sand corresponding to each of the second key dimensions, and the weight of the residual mechanical sand corresponding to each of the third key dimensions and the preset cumulative residual condition is determined; the fine particle ratio of the cyclone of the sand washing and recovery machine is controlled according to the residual deviation, so that the fine sand of the fourth size range in the candidate mechanical sand is recovered through the cyclone to obtain the final mechanical sand that meets the mechanical sand requirements.

[0091] In this way, by traversing and comparing the cumulative screening percentages of the machine-made sand corresponding to multiple key sizes with the cumulative screening percentage range of zone II, the cumulative screening percentage range of zone II, and the cumulative screening percentage range of zone III, the quality detection accuracy and processing speed of the machine-made sand can be improved, and the quality detection effect of the machine-made sand can be improved.

[0092] In one embodiment, the preset cumulative residue condition includes: a preset residue upper limit curve and a preset residue lower limit curve.

[0093] In this embodiment, the preset upper limit curve of screen residue and the preset lower limit curve of screen residue can be obtained according to actual needs or machine-made sand standards. Exemplarily, the preset upper limit curve of screen residue and the preset lower limit curve of screen residue corresponding to each zone can be obtained according to the quality requirements of machine-made sand in each zone. For example, according to the quality requirements of machine-made sand in zones I, II and III, the preset upper limit curve of screen residue in zone I and the preset lower limit curve of screen residue in zone I, the preset upper limit curve of screen residue in zone II and the preset lower limit curve of screen residue in zone II, and the preset upper limit curve of screen residue in zone III and the preset lower limit curve of screen residue in zone III are obtained respectively.

[0094] See also Figure 4, a schematic diagram of the preset zone II upper limit curve of the sieve residue and the preset zone II lower limit curve of the sieve residue corresponding to zone II is shown. Among them, L1 is the preset zone II upper limit curve of the sieve residue, and L2 is the preset zone II lower limit curve of the sieve residue. In this embodiment, the sieve residue percentages corresponding to multiple key particle sizes under the quality requirements of zone II machine-made sand can be obtained through the national standard for machine-made sand, and the preset zone II upper limit curve L1 and the preset zone II lower limit curve L2 can be obtained by fitting the sieve residue percentages corresponding to multiple key particle sizes under the quality requirements of zone II machine-made sand. The preset zone I upper limit curve, the preset zone I lower limit curve, the preset zone III upper limit curve and the preset zone III lower limit curve can all be obtained using the above steps. To avoid repetition, no limitation is made here.

[0095] Step S1042 includes the following steps: fitting a cumulative screen residue curve according to the cumulative screen residue percentage of the screen residue machine-made sand corresponding to each of the first key dimensions, the cumulative screen residue percentage of the screen residue machine-made sand corresponding to each of the second key dimensions, and the cumulative screen residue percentage of the screen residue machine-made sand corresponding to each of the third key dimensions;

[0096] If the cumulative residue curve is located within the range divided by the preset residue upper limit curve and the preset residue lower limit curve, it is determined that the quality of the candidate machine-made sand meets the requirements of machine-made sand.

[0097] In this embodiment, if the cumulative residue curve does not conform to the range divided by the preset upper limit residue curve and the preset lower limit residue curve of the artificial sand in zone I, zone II and zone III, the cumulative percentage of the residue can be adjusted by adding artificial sand of the corresponding particle size until the cumulative residue curve conforms to the range divided by the preset upper limit residue curve and the preset lower limit residue curve of the artificial sand in zone I, zone II and zone III, thereby meeting the quality requirements of the artificial sand in zone I, zone II and zone III.

[0098] For illustration, please see again Figure 4 The cumulative residue curve L0 of the machine-made sand to be inspected is not within the range divided by the preset upper limit curve of zone II and the preset lower limit curve of zone II. By adjusting the ratio of different particle sizes until a cumulative residue curve L3 is obtained within the range divided by the preset upper limit curve L1 of zone II and the preset lower limit curve L2 of zone II, the machine-made sand can be used as finished sand, and the finished sand meets the quality requirements of zone II machine-made sand.

[0099] It should be noted that if the cumulative residue curve exceeds the range divided by the preset residue upper limit curve and the preset residue lower limit curve, it is determined that the quality of the candidate machine-made sand does not meet the machine-made sand requirements. If the quality of the candidate machine-made sand does not meet the machine-made sand requirements, the residue deviation between the weight of the machine-made sand corresponding to each of the first key dimensions, the weight of the machine-made sand corresponding to each of the second key dimensions, and the weight of the machine-made sand corresponding to each of the third key dimensions and the preset cumulative residue conditions is determined; the fine particle ratio of the cyclone of the sand washing and recycling machine is controlled according to the residue deviation, so that the fine sand of the fourth size range in the candidate machine-made sand is recovered through the cyclone to obtain the final machine-made sand that meets the machine-made sand requirements. Among them, the first size range, the second size range, the third size range and the fourth size range are different, for example, the first size range is a particle size of 10-5mm, the second size range is a particle size of 3-5mm, the third size range is a particle size of less than 3mm, and the fourth size range is a particle size of less than 0.6mm.

[0100] In this way, the quality detection of machine-made sand is carried out based on the range defined by the preset upper limit curve of the screen residue and the preset lower limit curve of the screen residue, which can improve the quality detection accuracy and processing speed of the machine-made sand and improve the quality detection effect of the machine-made sand.

[0101] join Figure 5 The method for detecting machine-made sand also includes steps S401 to S407, and each step is described below.

[0102] Step S401, obtaining candidate parent materials according to surrounding rocks, and pouring the candidate parent materials into a raw material bin.

[0103] In this embodiment, the surrounding rock is the rock around the slag hole. During the engineering excavation operation, the surrounding rock may become abnormal and the compressive strength may change. It is necessary to monitor the compressive strength of the surrounding rock in real time and determine whether to collect it as the parent material based on the detected compressive strength.

[0104] In this embodiment, step S401 includes the following steps:

[0105] Determine a plurality of reference surrounding rocks having a compressive strength greater than or equal to a preset compressive strength threshold, obtain a reference image of each of the reference surrounding rocks, and obtain a reference image feature of each reference image;

[0106] Acquire a current surrounding rock image and extract key image features of the surrounding rock image;

[0107] Calculating the feature similarity between the key image feature and the reference image feature, and when the feature similarity is less than a preset similarity, determining that the current surrounding rock compressive strength is less than the preset compressive strength threshold, and stopping collecting parent material in the current surrounding rock;

[0108] When the feature similarity is greater than or equal to the preset similarity, determining that the current surrounding rock compressive strength is greater than or equal to the preset compressive strength threshold, and determining to collect parent material in the current surrounding rock;

[0109] When the transport vehicle transports the collected parent materials to the storage yard, the parent materials on the transport vehicle are identified by a scanning device to obtain the size information and impurity information of the parent materials;

[0110] Control the transport vehicle to unload the parent material to a corresponding parent material yard according to the parent material size information as the candidate parent material;

[0111] The transport vehicle is controlled according to the impurity information to unload the impurities to the corresponding impurity yard.

[0112] In this embodiment, the mother material on the transport vehicle is identified by a scanning device to obtain the size information and impurity information of the mother material, including:

[0113] The mother material stacking image on the transport vehicle is acquired, and the impurity recognition is performed on the mother material stacking image through a pre-trained mother material impurity labeling model to obtain the mother material size information and the impurity information.

[0114] In this way, the similarity of the image features is used to determine whether the compressive strength of the current surrounding rock meets the requirements. When the feature similarity is less than the preset similarity, it is determined that the compressive strength of the current surrounding rock is less than the preset compressive threshold, and the collection of parent material in the current surrounding rock is stopped to avoid collecting surrounding rock with too small compressive strength as the parent material. When the feature similarity is greater than or equal to the preset similarity, it is determined that the compressive strength of the current surrounding rock is greater than or equal to the preset compressive threshold, and it is determined to collect parent material in the current surrounding rock, thereby ensuring the compressive strength of the candidate parent rock and the compressive strength of the machine-made sand obtained after subsequent processing. In addition, the parent material impurity marking model is used to identify impurities in the parent material stacking image, thereby improving the accuracy of impurity identification, eliminating the need for manual identification, improving the efficiency of impurity identification, and reducing labor costs.

[0115] Among them, obtaining a pre-trained parent material impurity labeling model includes the following steps: obtaining an initial training set, dividing the initial training set into a parent material stacking image training set, a parent material stacking image test set, and a parent material stacking image verification set according to a preset ratio, wherein the initial training set includes multiple parent material stacking images and label information. Label information can be added to each parent material stacking image in advance, and the label information includes object information such as slag and debris; the preset ratio can be determined according to actual conditions, for example, the training set, test set, and verification set correspond to 7:2:1.

[0116] In this embodiment, an initial model to be trained can be constructed based on a neural network model. The neural network model can be a deep convolutional neural network (CNNs), a recurrent neural network (RNNs), a long short-term memory network (LSTMs), etc., and there is no limitation here.

[0117] The training set of the parent material stacking images is input into the initial model to be trained to obtain a trained model, and the trained model is input into the trained model based on the parent material stacking image test set to output a first recognition result, wherein the first recognition result includes a first impurity recognition accuracy rate, and the first impurity recognition accuracy rate is the ratio of the number of impurities recognized to the number of impurities actually marked in the parent material stacking image test set. It is judged whether the first impurity recognition accuracy rate reaches the preset accuracy rate threshold. If the first impurity recognition accuracy rate reaches the preset accuracy rate threshold, the parent material stacking image verification set is input into the trained model, and the second recognition result is output through the trained model. The second recognition result includes a second impurity recognition accuracy rate, and the second impurity recognition accuracy rate is the ratio of the number of impurities recognized to the number of impurities actually marked in the parent material stacking image verification set. It is judged whether the second impurity recognition accuracy rate reaches the preset accuracy rate threshold. If the second impurity recognition accuracy rate reaches the preset accuracy rate threshold, the trained model is used as the parent material impurity marking model. If the first impurity recognition accuracy does not reach the preset accuracy threshold, the parameters of the trained model are adjusted according to the first impurity recognition accuracy to obtain an adjusted model, and the training set of parent material stacking images is input into the adjusted model for training, and the model parameter adjustment and model training process are executed repeatedly until the impurity recognition accuracy of the recognition result output by the trained model reaches the preset accuracy threshold. The preset accuracy threshold can be determined by empirical data or actual needs. For example, the preset accuracy threshold can be 95%, or other values, which are not limited here.

[0118] In this way, a parent material impurity labeling model can be trained to improve the impurity recognition accuracy of the parent material impurity labeling model, improve the accuracy of impurity detection in the parent material, and do not require manual processing, thereby improving the impurity removal efficiency in the parent material and reducing labor costs.

[0119] Step S402: transporting the candidate parent materials in the raw material bin to a pre-screening device via a feeder.

[0120] Please join again Figure 1 The feeder may be a linear feeder 100, which transports the candidate parent material to the pre-screening device ( Figure 1 not shown).

[0121] Step S403: pre-screening the candidate parent material by the pre-screening device.

[0122] In this embodiment, after the pre-screening treatment, the aggregate with a particle size greater than 100 mm is obtained and put into the jaw crusher 300 for crushing, and the aggregate with a particle size less than 100 mm is obtained after the pre-screening treatment and enters the pre-screening vibrating screen, wherein the pre-screening vibrating screen is a soil removal screen 200, and the aggregate with a particle size greater than 30 mm after screening by the soil removal screen 200 is sent to the multi-cylinder cone crusher 700 through the transfer bin 500 and the high-level bin transfer 600, and the aggregate with a particle size less than 10 mm after screening by the pre-screening vibrating screen is discarded as slag, and the aggregate with a particle size of 10-30 mm after screening by the pre-screening vibrating screen enters the first shaping sand making machine 900, and the aggregate with a particle size of 0-5 mm output by the first shaping sand making machine 900 is cleaned by the sand washing machine 1400 and put into the finished product bin ( Figure 1 not shown).

[0123] Step S404, the aggregate crushed by the jaw crusher enters the transfer bin and is transferred to the single-cylinder cone crusher for crushing.

[0124] Please see again Figure 1 The aggregate crushed by the jaw crusher 300 enters the transfer bin 500, passes through the high-level silo 600 and enters the single-cylinder cone crusher 700 for crushing.

[0125] Step S405, the crushed aggregate is transferred to the first vibrating screen for screening via the discharge belt conveyor of the single-cylinder cone crusher.

[0126] Please see again Figure 1 The aggregate crushed by the single-cylinder cone crusher 700 enters the first vibrating screen 800. The first vibrating screen 800 screens out aggregates with a particle size of more than 31.5 mm and returns to the high-level silo 600 to be transferred to the multi-cylinder cone crusher 701 for crushing again, and then continues to enter the first vibrating screen 800 for screening to obtain aggregates with a particle size less than 31.5 mm and input into the first shaping sand making machine 900. After being shaped by the first shaping sand making machine 900, the aggregates are input into the second vibrating screen 1000. The second vibrating screen 1000 screens out aggregates with a particle size of 20-31.5 mm, aggregates with a particle size of 10-20 mm, and aggregates with a particle size of 0-10 mm, and crushed stone is screened out.

[0127] Step S406, the aggregate with a particle size of 0-10 mm screened out by the second vibrating screen enters the second shaping sand making machine for shaping and sand making, and the aggregate with a particle size of 20-31.5 mm and the aggregate with a particle size of 10-20 mm screened out by the second vibrating screen all or part of them enter the second shaping sand making machine for shaping and sand making.

[0128] Please see again Figure 1The aggregate with a particle size of 0-10 mm screened out by the second vibrating screen enters the second shaping sand making machine 901 for shaping and sand making 1201 processing. The aggregate with a particle size of 20-31.5 mm and the aggregate with a particle size of 10-20 mm screened out by the vibrating screen all or partly pass through the sand making buffer bin 1200 and enter the first shaping sand making machine 900 for shaping and sand making. The first shaping sand making machine 900 and the second shaping sand making machine 901 can be vertical shaft impact crushers.

[0129] Step S407, the aggregate crushed by the second shaping sand making machine is screened by the third vibrating screen to obtain aggregate with a particle size of 0-5 mm, which is then cleaned by the sand washing machine and enters the 0-5 mm machine-made sand finished product silo; the aggregate with a particle size of 5-10 mm is screened by the third vibrating screen and returned to the sand making machine.

[0130] Please see again Figure 1 The aggregate crushed by the second shaping sand making machine 901 is screened by the third vibrating screen 1300 and the aggregate with a particle size of 0-5 mm is washed by the sand washing machine and then enters the finished machine sand silo with a particle size of 0-5 mm ( Figure 1 (not shown) the 0-5 mm machine-made sand finished product silo enters the sand washer 1400 for cleaning to obtain 0-5 mm machine-made sand finished products; the aggregate with a particle size of 5-10 mm is screened by the third vibrating screen 1300 and returned to make sand.

[0131] The method for detecting machine-made sand provided in this embodiment determines an initial coarse sand ratio gradation according to a coarse sand ratio database, and performs coarse sand ratio control processing according to the initial coarse sand ratio gradation into a first size range, a second size range, and a third size range, so as to obtain aggregates corresponding to the first size range, aggregates corresponding to the second size range, and aggregates corresponding to the third size range; obtains at least one first key size from the first size range, obtains at least one second key size from the second size range, and obtains at least one third key size from the third size range; and aggregates corresponding to the first size range, aggregates corresponding to the second size range, and aggregates corresponding to the third size range are obtained. The mixed materials are used as candidate artificial sands, and the candidate artificial sands are screened in turn according to the first critical dimensions, the second critical dimensions and the third critical dimensions, and the weight of the artificial sand residue corresponding to the first critical dimensions, the weight of the artificial sand residue corresponding to the second critical dimensions and the weight of the artificial sand residue corresponding to the third critical dimensions are recorded; the quality of the candidate artificial sand is detected according to the weight of the artificial sand residue corresponding to the first critical dimensions, the weight of the artificial sand residue corresponding to the second critical dimensions and the weight of the artificial sand residue corresponding to the third critical dimensions. In this way, the accuracy of the quality detection of artificial sand can be improved, and the quality detection effect of artificial sand can be improved.

[0132] Example 2

[0133] In addition, an embodiment of the present application provides a detection system for machine-made sand.

[0134] like Figure 6 As shown, the machine-made sand detection system 1600 includes:

[0135] A determination module 1601 is used to determine an initial coarse sand ratio gradation according to a coarse sand ratio database, and to divide the coarse sand ratio control processing into a first size range, a second size range, and a third size range according to the initial coarse sand ratio gradation, so as to obtain aggregates corresponding to the first size range, aggregates corresponding to the second size range, and aggregates corresponding to the third size range;

[0136] An acquisition module 1602 is configured to acquire at least one first critical dimension from the first dimension range, acquire at least one second critical dimension from the second dimension range, and acquire at least one third critical dimension from the third dimension range;

[0137] The screening module 1603 mixes the aggregates corresponding to the first size range, the aggregates corresponding to the second size range, and the aggregates corresponding to the third size range as candidate machine-made sands, screens the candidate machine-made sands according to the first key sizes, the second key sizes, and the third key sizes in sequence, and records the weight of the machine-made sand residue corresponding to the first key sizes, the weight of the machine-made sand residue corresponding to the second key sizes, and the weight of the machine-made sand residue corresponding to the third key sizes;

[0138] The detection module 1604 is used to detect the quality of the candidate artificial sand according to the weight of the screen residue artificial sand corresponding to each of the first key dimensions, the weight of the screen residue artificial sand corresponding to each of the second key dimensions, and the weight of the screen residue artificial sand corresponding to each of the third key dimensions.

[0139] The machine-made sand detection system 1600 provided in this embodiment can implement the machine-made sand detection method provided in Example 1, and will not be described again here to avoid repetition.

[0140] Example 3

[0141] In addition, an embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program runs on the processor, the method for detecting machine-made sand provided in Example 1 is executed.

[0142] The electronic device provided in this embodiment can implement the method for detecting machine-made sand provided in Embodiment 1, and will not be described again here to avoid repetition.

[0143] Example 4

[0144] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for detecting machine-made sand provided in Example 1 is implemented.

[0145] In this embodiment, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0146] The computer-readable storage medium provided in this embodiment can implement the method for detecting machine-made sand provided in Example 1, and will not be described again here to avoid repetition.

[0147] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or terminal including the element.

[0148] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0149] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation modes. The above-mentioned specific implementation modes are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. A method for detecting machine-made sand, characterized in that: The method comprises: Record production data in the process of producing machine-made sand, generate a coarse sand ratio database according to the production data, the coarse sand ratio database includes quality test results of machine-made sand under each coarse sand ratio gradation; the coarse sand ratio database includes multiple coarse sand ratio gradations corresponding to the first size range, the second size range and the third size range, and quality test results of machine-made sand obtained according to each of the coarse sand ratio gradations, the quality test results include label data of whether the machine-made sand obtained by each of the coarse sand ratio gradations meets the quality requirements of machine-made sand in zone I, machine-made sand in zone II and machine-made sand in zone III; the label data includes whether the machine-made sand obtained by each of the coarse sand ratio gradations meets the cumulative percentage range of screen residue in zone I, the cumulative percentage range of screen residue in zone II and the cumulative percentage range of screen residue in zone III, and / or whether the machine-made sand obtained by each of the coarse sand ratio gradations meets the range divided by a preset screen residue upper limit curve and a preset screen residue lower limit curve; According to the quality requirements of machine-made sand, an initial coarse sand ratio gradation is determined according to a plurality of coarse sand ratio gradations in the coarse sand ratio database, and the first size range, the second size range and the third size range are screened for aggregates according to the initial coarse sand ratio gradation to obtain aggregates corresponding to the first size range, the second size range and the third size range; Acquire at least one first critical dimension from the first size range, acquire at least one second critical dimension from the second size range, and acquire at least one third critical dimension from the third size range; Aggregates corresponding to the first size range, aggregates corresponding to the second size range, and aggregates corresponding to the third size range are mixed as candidate machine-made sands, and the candidate machine-made sands are screened according to the first key sizes, the second key sizes, and the third key sizes in sequence, and the weight of the machine-made sand residue corresponding to the first key sizes, the weight of the machine-made sand residue corresponding to the second key sizes, and the weight of the machine-made sand residue corresponding to the third key sizes are recorded; The quality of the candidate manufactured sand is detected according to the weight of the manufactured sand with screen residue corresponding to each of the first critical dimensions, the weight of the manufactured sand with screen residue corresponding to each of the second critical dimensions, and the weight of the manufactured sand with screen residue corresponding to each of the third critical dimensions.

2. The method according to claim 1, characterized in that The method of detecting the quality of the candidate machine-made sand according to the weight of the machine-made sand with screen residue corresponding to each of the first key dimensions, the weight of the machine-made sand with screen residue corresponding to each of the second key dimensions, and the weight of the machine-made sand with screen residue corresponding to each of the third key dimensions comprises: According to the weight of the screen residue machine-made sand corresponding to each of the first key dimensions, the weight of the screen residue machine-made sand corresponding to each of the second key dimensions, the weight of the screen residue machine-made sand corresponding to each of the third key dimensions and the total mass of the candidate machine-made sand, respectively obtain the cumulative screen residue percentage of the screen residue machine-made sand corresponding to each of the first key dimensions, the cumulative screen residue percentage of the screen residue machine-made sand corresponding to each of the second key dimensions, and the cumulative screen residue percentage of the screen residue machine-made sand corresponding to each of the third key dimensions; The quality of the candidate artificial sand is determined based on the cumulative residual percentage of the artificial sand corresponding to each of the first critical dimensions, the cumulative residual percentage of the artificial sand corresponding to each of the second critical dimensions, the cumulative residual percentage of the artificial sand corresponding to each of the third critical dimensions and the preset cumulative residual condition.

3. The method according to claim 2, characterized in that The preset cumulative screening residue conditions include: the cumulative screening residue percentage range of zone I, the cumulative screening residue percentage range of zone II, and the cumulative screening residue percentage range of zone III; The method of determining the quality of the candidate machine-made sand according to the cumulative residual percentage of the machine-made sand corresponding to each of the first key dimensions, the cumulative residual percentage of the machine-made sand corresponding to each of the second key dimensions, the cumulative residual percentage of the machine-made sand corresponding to each of the third key dimensions and a preset cumulative residual condition comprises: If the cumulative residue percentage of the machine-made sand corresponding to each of the first critical dimensions, the cumulative residue percentage of the machine-made sand corresponding to each of the second critical dimensions, and the cumulative residue percentage of the machine-made sand corresponding to each of the third critical dimensions meet any one of the cumulative residue percentage ranges of zone I, the cumulative residue percentage ranges of zone II, and the cumulative residue percentage ranges of zone III, it is determined that the quality of the candidate machine-made sand meets the requirements of machine-made sand.

4. The method according to claim 3, characterized in that The preset cumulative residue condition includes: a preset residue upper limit curve and a preset residue lower limit curve; The method of determining the quality of the candidate machine-made sand according to the cumulative residual percentage of the machine-made sand corresponding to each of the first key dimensions, the cumulative residual percentage of the machine-made sand corresponding to each of the second key dimensions, the cumulative residual percentage of the machine-made sand corresponding to each of the third key dimensions and a preset cumulative residual condition comprises: According to the cumulative residual percentages of the screen residue machine-made sand corresponding to each of the first critical dimensions, the cumulative residual percentages of the screen residue machine-made sand corresponding to each of the second critical dimensions, and the cumulative residual percentages of the screen residue machine-made sand corresponding to each of the third critical dimensions, a cumulative residual curve is obtained by fitting; If the cumulative residue curve is located within the range divided by the preset residue upper limit curve and the preset residue lower limit curve, it is determined that the quality of the candidate machine-made sand meets the requirements of machine-made sand.

5. The method according to claim 4, characterized in that The method comprises: If the cumulative residual percentage of the screen residue machine-made sand corresponding to each of the first critical dimensions, the cumulative residual percentage of the screen residue machine-made sand corresponding to each of the second critical dimensions, and the cumulative residual percentage of the screen residue machine-made sand corresponding to each of the third critical dimensions do not meet any of the cumulative residual percentage range of the zone I, the cumulative residual percentage range of the zone II, and the cumulative residual percentage range of the zone III, it is determined that the quality of the candidate machine-made sand does not meet the machine-made sand requirements; If the cumulative residue curve exceeds the range divided by the preset residue upper limit curve and the preset residue lower limit curve, it is determined that the quality of the candidate machine-made sand does not meet the machine-made sand requirements; If the quality of the candidate machine-made sand does not meet the machine-made sand requirement, the residual weight of the machine-made sand corresponding to each of the first key dimensions, the residual weight of the machine-made sand corresponding to each of the second key dimensions, and the residual weight of the machine-made sand corresponding to each of the third key dimensions are compared with the preset cumulative residual weight condition; The fine particle proportion of the cyclone of the sand washing and recovery machine is controlled according to the screen residue deviation, so that the fine sand in the fourth size range in the candidate machine-made sand is recovered through the cyclone to obtain the final machine-made sand that meets the requirements of machine-made sand, and the first size range, the second size range, the third size range and the fourth size range are different.

6. The method according to claim 1, characterized in that The method further comprises: Obtain candidate parent materials according to surrounding rocks, and pour the candidate parent materials into a raw material bin; The candidate parent materials in the raw material bin are transported to the pre-screening device by a feeder; The candidate parent material is pre-screened by the pre-screening device to obtain aggregates with a particle size greater than 100 mm and aggregates with a particle size less than 100 mm, the aggregates with a particle size greater than 100 mm are placed in a jaw crusher for crushing, and the aggregates with a particle size less than 100 mm enter a pre-screening vibrating screen, wherein the aggregates with a particle size greater than 30 mm after screening by the pre-screening vibrating screen are transferred to a multi-cylinder cone crusher through a transfer bin and a high-level silo, the aggregates with a particle size less than 10 mm after screening by the pre-screening vibrating screen are discarded as slag, the aggregates with a particle size of 10-30 mm after screening by the pre-screening vibrating screen enter a first shaping sand making machine, and the aggregates with a particle size of 0-5 mm output by the first shaping sand making machine are washed by a sand washing machine and enter a finished machine-made sand silo with a particle size of 0-5 mm; The aggregate crushed by the jaw crusher enters the transfer bin and is transferred to the single-cylinder cone crusher for crushing; The crushed aggregate is transferred to the first vibrating screen for screening through the single-cylinder cone crusher discharging belt conveyor; the aggregate with a particle size of more than 31.5 mm screened out by the first vibrating screen is returned to the high-level silo and transferred to the multi-cylinder cone crusher for further crushing, and then continues to enter the first vibrating screen for screening to obtain aggregate with a particle size of less than 31.5 mm and input into the first shaping sand making machine, and the aggregate is shaped by the first shaping sand making machine and then input into the second vibrating screen, and the second vibrating screen is used to screen out aggregate with a particle size of 20-31.5 mm, aggregate with a particle size of 10-20 mm, and aggregate with a particle size of 0-10 mm; Aggregates with a particle size of 0-10 mm screened out by the second vibrating screen enter the second shaping sand making machine for shaping and sand making, and aggregates with a particle size of 20-31.5 mm and aggregates with a particle size of 10-20 mm screened out by the second vibrating screen all or partly enter the second shaping sand making machine for shaping and sand making; The aggregate crushed by the second shaping sand making machine is screened by the third vibrating screen and the aggregate with a particle size of 0-5mm is cleaned by the sand washing machine and then enters the 0-5mm particle size machine-made sand finished product silo; the aggregate with a particle size of 5-10mm screened by the third vibrating screen is returned to the sand making machine.

7. The method according to claim 6, characterized in that The step of obtaining candidate parent materials according to surrounding rocks includes: Determine a plurality of reference surrounding rocks having a compressive strength greater than or equal to a preset compressive strength threshold, obtain a reference image of each of the reference surrounding rocks, and obtain a reference image feature of each reference image; Acquire a current surrounding rock image and extract key image features of the surrounding rock image; Calculating the feature similarity between the key image feature and the reference image feature, and when the feature similarity is less than a preset similarity, determining that the current surrounding rock compressive strength is less than the preset compressive strength threshold, and stopping collecting parent material in the current surrounding rock; When the feature similarity is greater than or equal to the preset similarity, determining that the current surrounding rock compressive strength is greater than or equal to the preset compressive strength threshold, and determining to collect parent material in the current surrounding rock; When the transport vehicle transports the collected parent materials to the storage yard, the parent materials on the transport vehicle are identified by a scanning device to obtain the size information and impurity information of the parent materials; Control the transport vehicle to unload the parent material to a corresponding parent material yard according to the parent material size information as the candidate parent material; The transport vehicle is controlled according to the impurity information to unload the impurities to the corresponding impurity yard.

8. A machine-made sand detection system, characterized in that: The system comprises: Record production data in the process of producing machine-made sand, generate a coarse sand ratio database according to the production data, the coarse sand ratio database includes quality test results of machine-made sand under each coarse sand ratio gradation; the coarse sand ratio database includes multiple coarse sand ratio gradations corresponding to the first size range, the second size range and the third size range, and quality test results of machine-made sand obtained according to each of the coarse sand ratio gradations, the quality test results include label data of whether the machine-made sand obtained by each of the coarse sand ratio gradations meets the quality requirements of machine-made sand in zone I, machine-made sand in zone II and machine-made sand in zone III; the label data includes whether the machine-made sand obtained by each of the coarse sand ratio gradations meets the cumulative percentage range of screen residue in zone I, the cumulative percentage range of screen residue in zone II and the cumulative percentage range of screen residue in zone III, and / or whether the machine-made sand obtained by each of the coarse sand ratio gradations meets the range divided by a preset screen residue upper limit curve and a preset screen residue lower limit curve; A determination module is used to determine an initial coarse sand ratio gradation according to a plurality of coarse sand ratio gradations in the coarse sand ratio database according to the quality requirements of the machine-made sand to be obtained, and to screen the aggregates in the first size range, the second size range and the third size range according to the initial coarse sand ratio gradation to obtain aggregates corresponding to the first size range, the second size range and the third size range; An acquisition module, acquiring at least one first critical dimension from the first size range, acquiring at least one second critical dimension from the second size range, and acquiring at least one third critical dimension from the third size range; a screening module, mixing aggregates corresponding to the first size range, aggregates corresponding to the second size range, and aggregates corresponding to the third size range as candidate machine-made sands, screening the candidate machine-made sands according to the first key sizes, the second key sizes, and the third key sizes in sequence, and recording the weight of the machine-made sand residue corresponding to the first key sizes, the weight of the machine-made sand residue corresponding to the second key sizes, and the weight of the machine-made sand residue corresponding to the third key sizes; The detection module is used to detect the quality of the candidate artificial sand according to the weight of the screen residue artificial sand corresponding to each of the first key dimensions, the weight of the screen residue artificial sand corresponding to each of the second key dimensions, and the weight of the screen residue artificial sand corresponding to each of the third key dimensions.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is run by the processor, the method for detecting machine-made sand according to any one of claims 1 to 7 is executed.

10. A computer-readable storage medium, characterized in that: The device stores a computer program, which, when running on a processor, executes the method for detecting machine-made sand according to any one of claims 1 to 7.

Citation Information

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