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

Abstract

The embodiments of the present application provide a control method, system, electronic device and storage medium for machine-made sand, which belongs to the field of machine-made sand control technology. The system includes: a data acquisition sensor for collecting environmental data; an intelligent control device for determining the machine-made sand production mode according to the environmental data and a pre-acquired sand production database, and the machine-made sand production mode includes a dry sand making mode and a wet sand making mode; an intelligent control device for controlling a transport vehicle, a soil screener, a camera device for shooting, a crushing and shaping machine, and a dust removal device for related processing to obtain the final machine-made sand if the machine-made sand production mode is a dry sand making mode. Through the control scheme for machine-made sand provided, the dry sand making mode is determined in combination with the environmental data and the pre-acquired sand production database. Under the dry sand making mode, the quality of machine-made sand is improved and the cost of machine-made sand is reduced.

Description

Technical Field

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

[0002] In order to protect the environment, river sand mining is becoming less and less, and machine-made sand is generally used for construction processing. The existing machine-made sand making solutions include dry sand making and wet sand making. Dry sand making is highly sensitive to raw material quality and weather. In case of rainy weather, the finished sand and gravel are prone to powder coating, causing the sand and gravel aggregate to exceed the powder content standard, resulting in unqualified aggregates, affecting the performance of concrete and even causing project delays. However, wet production is more sensitive to ambient temperature and is prone to freezing in cold environments, causing failures such as freezing and cracking of components such as pipelines and pumps. In addition, the operating cost of the wet process is higher than that of the dry process. How to accurately control the production process 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 control method, system, electronic device and storage medium for machine-made sand.

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

[0005] Data acquisition sensors, used to collect environmental data;

[0006] An intelligent control device, used for determining a machine-made sand production mode according to the environmental data and a pre-acquired sand production database, wherein the machine-made sand production mode includes a dry sand making mode and a wet sand making mode;

[0007] The intelligent control device is used for, if the machine-made sand production mode is the dry sand making mode, controlling the transport vehicle to pour the parent material into the raw material bin, controlling the raw material bin to send the parent material into the soil screen, and controlling the soil screen to perform soil and stone separation on the parent material to obtain candidate aggregates; photographing the initial aggregate image of the candidate aggregate by a camera device, judging whether the mud content of the candidate aggregate is less than or equal to a preset mud content threshold value according to the initial aggregate image, and if the mud content of the candidate aggregate is less than or equal to the preset mud content threshold value, controlling the soil screen to send the candidate aggregate into the crushing and shaping machine, and controlling the crushing and shaping machine to crush and shape the candidate aggregate to obtain shaped crushed stone; controlling the dust removal device to After shaping, the crushed stone is subjected to dust removal treatment to obtain candidate machine-made sand; the machine-made sand image of the candidate machine-made sand is captured by the camera device, and whether the stone powder content of the candidate machine-made sand is less than or equal to a preset stone powder content threshold is determined based on the machine-made sand image and the standard machine-made sand image; if the stone powder content is less than or equal to the preset stone powder content threshold, the candidate machine-made sand is used as the final machine-made sand; if the stone powder content is greater than the preset stone powder content threshold, the current dust concentration of the on-site environment is detected by a dust sensor to determine whether the current dust concentration is greater than or equal to the preset dust concentration threshold; if the current dust concentration is greater than or equal to the preset dust concentration threshold, the dust removal device is started to perform dust removal treatment.

[0008] In one embodiment, the intelligent control device is further used to control the transport vehicle to pour the parent material into the raw material bin if the machine-made sand production mode is the wet sand making mode, and a vibrating feeder and a first vibrating screen are arranged below the raw material bin;

[0009] The vibrating feeder is used to receive the parent material from the raw material bin;

[0010] The intelligent control device is also used to adjust the spacing value of the vibrating feeder so that aggregates with a particle size greater than 100 mm enter the jaw crusher, and aggregates with a particle size less than 100 mm enter the first vibrating screen; control the jaw crusher to crush aggregates with a particle size greater than 100 mm, and send the crushed aggregates to the semi-finished product bin, and the crushed aggregates are transferred to the single-cylinder cone crusher for crushing through the semi-finished product bin; control the spraying device to rinse the aggregates of the first vibrating screen, collect the initial image of the flushed aggregates through the camera device, determine the initial cleanliness of the flushed aggregates according to the initial image, and judge whether the initial cleanliness is greater than or equal to a preset cleanliness threshold. If the initial cleanliness is greater than or equal to the preset cleanliness threshold, control the spacing value of the first vibrating screen to screen out aggregates with a particle size of 30 mm-100 mm, aggregates with a particle size of 10 mm-30 mm, and Aggregates with a particle size less than 10mm, and control the first vibrating screen to send aggregates with a particle size of 30mm-100mm into the high-level silo, and transfer them to the multi-cylinder cone crusher through the high-level silo; control the first vibrating screen to send aggregates with a particle size of 10mm-30mm into the shaping sand making machine; control the first vibrating screen to determine aggregates with a particle size less than 10mm as slag; if the initial cleanliness is less than the preset cleanliness threshold, determine the target area to be flushed according to the initial image of the flushed aggregate, and control the spraying equipment to flush the flushed aggregate according to the target area to be flushed; control the shaping sand making machine to crush and shape aggregates with a particle size of 10mm-30mm, and screen aggregates with a particle size of 0-5mm and send them to the sand washing machine; control the sand washing machine to clean aggregates with a particle size of 0-5mm to obtain 0-5mm machine-made sand, and send the 0-5mm machine-made sand into the finished machine-made sand silo.

[0011] In one embodiment, the intelligent control device is further used to control the camera device to capture multiple frames of inlet dust images of the dust removal device;

[0012] Extracting dust size features from the inlet dust image data of each frame through a pre-built dust image recognition model;

[0013] Calculate the current dust accumulation amount according to the dust size characteristics of the inlet dust image data of each frame and the duration of dust removal;

[0014] Determining a dust concentration variation trend according to dust size characteristics of the inlet dust image data of each frame;

[0015] Obtaining a predicted flushing time of the dust removal device according to the current dust accumulation amount, the dust concentration change trend and the maximum dust amount of the dust removal device;

[0016] A flushing control instruction is generated according to the predicted flushing time, and the dust removal equipment is started to perform dust flushing processing according to the flushing control instruction.

[0017] In one embodiment, the intelligent control device is further used to subtract the current dust accumulation amount from the maximum dust amount to obtain the remaining removable dust amount;

[0018] Calculating the remaining dust removal time required to reach the remaining removable dust amount according to the dust concentration change trend;

[0019] The predicted flushing time is determined according to the remaining dust removal time.

[0020] In one embodiment, the spraying device includes a plurality of nozzle assemblies, and the intelligent control device is further used to determine at least one target spraying assembly from the plurality of nozzle assemblies according to the target area to be rinsed;

[0021] Determining the spray parameters of the target spray assembly according to the initial cleanliness of the aggregate after flushing, wherein the spray parameters include spray start and end time, spray intensity and spray range;

[0022] The target spraying assembly is controlled to rinse the flushed aggregate according to the spraying parameters.

[0023] In one embodiment, the intelligent control device is further used to obtain an actual current curve of a target device, and to fit a fusion current curve according to each of the actual current curves; each of the target devices includes a transport vehicle, a soil screening machine, a crushing and shaping machine, a dust removal device, a vibrating feeder, a first vibrating screen, a jaw crusher, a multi-cylinder cone crusher, a shaping sand making machine, and a spraying device;

[0024] Determine the sliding window according to the length of the preset standard fusion wave;

[0025] Extracting a plurality of current bands from the fused current curve according to the sliding window;

[0026] Calculating the current data characteristic distance between each of the current wave bands and the preset standard fusion wave;

[0027] Determine an average current data characteristic distance of a plurality of the current data characteristic distances;

[0028] Determine whether the average current data characteristic distance is less than or equal to a preset characteristic distance threshold;

[0029] If the characteristic distance of the average current data is less than or equal to a preset characteristic distance threshold, it is determined that each of the target devices is operating normally;

[0030] If the characteristic distance of the average current data is greater than the preset characteristic distance threshold, the similarity between the actual current curve of each target device and the preset standard current curve of each target device is calculated, and whether each target device has a fault is determined based on the similarity of each target device and the preset similarity threshold of each target device.

[0031] In one embodiment, the intelligent control device is further used to normalize the actual current curve of each target device to obtain a normalized current curve of each actual current curve;

[0032] fusing each normalized current curve according to a preset current fusion weight to obtain the fused current curve;

[0033] Calculating characteristic parameters of each current wave band and characteristic parameters of a preset standard fusion current wave;

[0034] The current data characteristic distance between the characteristic parameters of each current wave segment and the characteristic parameters of the preset standard fusion current wave is calculated.

[0035] In a second aspect, an embodiment of the present application provides a control method for machine-made sand, which is applied to the control system for machine-made sand in the first aspect. The control method for machine-made sand includes:

[0036] Data acquisition sensors collect environmental data;

[0037] The intelligent control device determines the machine-made sand production mode according to the environmental data and the pre-acquired sand production database, and the machine-made sand production mode includes a dry sand making mode and a wet sand making mode;

[0038] If the machine-made sand production mode is the dry sand making mode, the intelligent control device controls the transport vehicle to pour the parent material into the raw material bin, controls the raw material bin to send the parent material into the soil screening machine, and controls the soil screening machine to perform soil and stone separation on the parent material to obtain candidate aggregates;

[0039] An initial aggregate image of the candidate aggregate is captured by a camera device, and whether the mud content of the candidate aggregate is less than or equal to a preset mud content threshold is determined according to the initial aggregate image; if the mud content of the candidate aggregate is less than or equal to the preset mud content threshold, the soil screening machine is controlled to send the candidate aggregate into a crushing and shaping machine, and the crushing and shaping machine is controlled to crush and shape the candidate aggregate to obtain shaped crushed stone;

[0040] Controlling the dust removal device to perform dust removal on the shaped crushed stone to obtain candidate machine-made sand; photographing a machine-made sand image of the candidate machine-made sand by the camera device, and judging whether the stone powder content of the candidate machine-made sand is less than or equal to a preset stone powder content threshold value according to the machine-made sand image and the standard machine-made sand image;

[0041] If the stone powder content is less than or equal to the preset stone powder content threshold, the candidate machine-made sand is used as the final machine-made sand; if the stone powder content is greater than the preset stone powder content threshold, the current dust concentration of the on-site environment is detected by a dust sensor to determine whether the current dust concentration is greater than or equal to the preset dust concentration threshold; if the current dust concentration is greater than or equal to the preset dust concentration threshold, the dust removal equipment is started to perform dust removal.

[0042] 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 control method for machine-made sand provided in the second aspect is executed.

[0043] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program, which, when running on a processor, executes the control method for machine-made sand provided in the second aspect.

[0044] The control method, system, electronic device and storage medium of artificial sand provided by the present application above, the data acquisition sensor collects environmental data; the intelligent control device determines the artificial sand production mode according to the environmental data and the pre-acquired sand production database, and the artificial sand production mode includes a dry sand making mode and a wet sand making mode; if the artificial sand production mode is the dry sand making mode, the intelligent control device controls the transport vehicle to pour the parent material into the raw material bin, controls the raw material bin to send the parent material into the soil screening machine, controls the soil screening machine to perform soil and stone separation on the parent material to obtain candidate aggregates; captures the initial aggregate image of the candidate aggregate by a camera device, and determines whether the mud content of the candidate aggregate is less than or equal to a preset mud content threshold value according to the initial aggregate image; if the mud content of the candidate aggregate is less than or equal to the preset mud content threshold value, controls the soil screening machine to transfer the parent material to the raw material bin, controls the raw material bin to transfer the parent material to the soil screening machine, and controls the soil screening machine to transfer the parent material to the soil screening machine, and obtains candidate aggregates; captures the initial aggregate image of the candidate aggregate by a camera device, and determines whether the mud content of the candidate aggregate is less than or equal to a preset mud content threshold value according to the initial aggregate image; if the mud content of the candidate aggregate is less than or equal to the preset mud content threshold value, controls the soil screening machine to transfer the parent material to the soil screening machine, and obtains candidate aggregates; The candidate aggregate is fed into a crushing and shaping machine, and the crushing and shaping machine is controlled to crush and shape the candidate aggregate to obtain shaped crushed stone; the dust removal equipment is controlled to perform dust removal on the shaped crushed stone to obtain candidate machine-made sand; the machine-made sand image of the candidate machine-made sand is photographed by the camera device, and the stone powder content of the candidate machine-made sand is judged to be less than or equal to the preset stone powder content threshold value according to the machine-made sand image and the standard machine-made sand image; if the stone powder content is less than or equal to the preset stone powder content threshold value, the candidate machine-made sand is used as the final machine-made sand; if the stone powder content is greater than the preset stone powder content threshold value, the current dust concentration of the on-site environment is detected by the dust sensor to judge whether the current dust concentration is greater than or equal to the preset dust concentration threshold value; if the current dust concentration is greater than or equal to the preset dust concentration threshold value, the dust removal equipment is started to perform dust removal. In this way, the dry sand making mode is determined to be adopted in combination with the environmental data and the sand production database obtained in advance, and in the dry sand making mode, the quality of machine-made sand is improved and the cost of machine-made sand is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] 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.

[0046] Figure 1 A schematic diagram of the structure of a control system for machine-made sand provided in an embodiment of the present application is shown;

[0047] Figure 2 Another structural schematic diagram of a control system for machine-made sand provided in an embodiment of the present application is shown;

[0048] Figure 3 A schematic flow chart of a method for controlling machine-made sand provided in an embodiment of the present application is shown.

[0049] Icons: 101: Intelligent control equipment, 102: Data acquisition sensor, 103: Camera equipment, 104: Transport vehicle, 105: Raw material warehouse, 106: Soil screening machine, 107: Crushing and shaping machine, 108: Dust removal equipment, 109: Vibrating feeder, 1010: First vibrating screen, 1011: Jaw crusher, 1012: Single-cylinder cone crusher, 1013: Spraying equipment, 1014: Multi-cylinder cone crusher, 1015: Shaping sand making machine, 1016: Sand washing machine, 1017: Sewage treatment equipment. DETAILED DESCRIPTION

[0050] 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.

[0051] 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.

[0052] Hereinafter, the terms "including", "having" and their cognates, which may be used in various embodiments of the present application, are intended only to indicate specific features, numbers, steps, operations, elements, components, or combinations of the foregoing items, and should not be understood as first excluding the existence of one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing items or adding the possibility of one or more features, numbers, steps, operations, elements, components, or combinations of the foregoing items.

[0053] Furthermore, the terms “first”, “second”, “third”, etc. are merely used for distinguishing descriptions and are not to be understood as indicating or implying relative importance.

[0054] 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.

[0055] Example 1

[0056] The embodiment of the present application provides a control system for machine-made sand, which can control machine-made sand in dry sand making mode and wet sand making mode, thereby improving sand making efficiency and reducing sand making costs.

[0057] See also Figure 1 The control system of machine-made sand includes: intelligent control equipment 101, data acquisition sensor 102, camera equipment 103, transport vehicle 104, raw material warehouse 105, soil screening machine 106, crushing and shaping machine 107 and dust removal equipment 108. The following is a detailed description.

[0058] The data acquisition sensor 102 is used to collect environmental data. The environmental data includes data such as current temperature and / or current humidity. The type of the data acquisition sensor 102 can be set according to actual needs. For example, the data acquisition sensor 102 can include a compressive strength sensor, a temperature sensor, a humidity sensor, and a temperature and humidity sensor.

[0059] The intelligent control device 101 is used to determine the machine-made sand production mode according to the environmental data and the pre-acquired sand production database, and the machine-made sand production mode includes a dry sand making mode and a wet sand making mode. The pre-acquired sand production database is obtained according to the environmental data of the historical records and the corresponding sand making mode. In this embodiment, the control system of the machine-made sand is a fixed system, including dry sand making equipment corresponding to the dry sand making mode and wet sand making equipment corresponding to the wet sand making mode. The dry sand making related equipment is enabled under the dry sand making model, and the wet sand making related equipment is enabled under the wet sand making model.

[0060] The intelligent control device 101 is used to control the transport vehicle 104 to pour the parent material into the raw material bin 105 if the machine-made sand production mode is the dry sand making mode, control the raw material bin 105 to send the parent material into the soil screen 106, and control the soil screen 106 to perform soil and stone separation on the parent material to obtain candidate aggregates; capture the initial aggregate image of the candidate aggregate through the camera device 103, determine whether the mud content of the candidate aggregate is less than or equal to a preset mud threshold value according to the initial aggregate image, and if the mud content of the candidate aggregate is less than or equal to the preset mud threshold value, control the soil screen to send the candidate aggregate into the crushing and shaping machine 107, and control the crushing and shaping machine 107 to crush and shape the candidate aggregate to obtain the shaped aggregate. crushed stone; controlling the dust removal device 108 to perform dust removal on the crushed stone after shaping to obtain candidate machine-made sand; taking a machine-made sand image of the candidate machine-made sand by the camera device 103, and judging whether the stone powder content of the candidate machine-made sand is less than or equal to a preset stone powder content threshold value according to the machine-made sand image and the standard machine-made sand image; if the stone powder content is less than or equal to the preset stone powder content threshold value, taking the candidate machine-made sand as the final machine-made sand; if the stone powder content is greater than the preset stone powder content threshold value, detecting the current dust concentration of the on-site environment by the dust sensor, and judging whether the current dust concentration is greater than or equal to the preset dust concentration threshold value; if the current dust concentration is greater than or equal to the preset dust concentration threshold value, starting the dust removal device to perform dust removal.

[0061] In this embodiment, the intelligent control device 101 is also used to control the camera device to capture multiple frames of entrance dust images of the dust removal device 108; extract dust size features from the entrance dust image data of each frame through a pre-constructed dust image recognition model; calculate the current dust accumulation amount based on the dust size features of the entrance dust image data of each frame and the duration of dust removal; determine the dust concentration change trend based on the dust size features of the entrance dust image data of each frame; obtain the predicted flushing time of the dust removal device based on the current dust accumulation amount, the dust concentration change trend and the maximum dust amount of the dust removal device; generate a flushing control instruction based on the predicted flushing time, and start the dust removal device to perform dust flushing processing according to the flushing control instruction.

[0062] In this embodiment, the intelligent control device 101 is also used to subtract the current dust accumulation amount from the maximum dust amount to obtain the remaining removable dust amount; calculate the remaining dust removal time required to reach the remaining removable dust amount according to the dust concentration change trend; and determine the predicted flushing time according to the remaining dust removal time.

[0063] It should be noted that a dust image recognition model can be constructed based on a neural network. The dust image recognition model is a neural network model that can be iteratively optimized in machine learning and is obtained through supervised training using a data set.

[0064] Exemplarily, an inlet dust image dataset of a dust removal device is obtained in advance, and the inlet dust image training set includes the inlet dust image and the marked dust feature tag information. The inlet dust image dataset is divided into an inlet dust image training set and an inlet dust image verification set according to a preset division rule, for example, the inlet dust image training set data accounts for 80% and the inlet dust image verification set data accounts for 20%. A sample training data is randomly selected from the inlet dust image training set as the first sample training data, and the neural network model is supervised and trained according to the first sample training data to obtain a first dust size feature prediction result output by the neural network model; then the first dust size feature prediction result is compared with the dust feature marking information in the first sample training data; when the results are consistent, the trained neural network model is continuously supervised and trained according to the next sample training data; when the results are inconsistent, the error value between the first dust size feature prediction result and the dust feature marking information is calculated, and the weight parameters of the trained model are optimized and adjusted according to the error value, and then supervised training of the next training data is performed, and iterative training is continuously performed until the error value between the dust size feature prediction result output by the trained model and the dust feature marking information in the training set is less than a preset error threshold, and the output result of the trained neural network model is verified through the inlet dust image verification set until the accuracy of the model output result is greater than or equal to the preset accuracy threshold, and a trained dust image recognition model is obtained, wherein the preset accuracy threshold can be set to 96%, which is determined by actual conditions and is not limited here.

[0065] See also Figure 2 The control system of the machine-made sand further includes: a vibrating feeder 109, a first vibrating screen 1010, a jaw crusher 1011, a single-cylinder cone crusher 1012, a spray device 1013, a multi-cylinder cone crusher 1014, a shaping sand making machine 1015, a sand washing machine 1016 and a sewage treatment device 1017. The following is a detailed description.

[0066] The intelligent control device 101 is used to control the transport vehicle 104 to pour the parent material into the raw material bin 105 if the machine-made sand production mode is the wet sand making mode. A vibrating feeder 109 and a first vibrating screen 1010 are arranged below the raw material bin 105. The vibrating feeder 109 is used to receive the parent material from the raw material bin 105. The intelligent control device 101 is used to adjust the spacing value of the vibrating feeder 109 so that the aggregate with a particle size greater than 100 mm enters the jaw crusher 1011, and the aggregate with a particle size less than 100 mm enters the first vibrating screen 1010.

[0067] In this embodiment, when the machine-made sand production mode is the wet sand production mode, the intelligent control device 101 is also used to control the jaw crusher 1011 to crush aggregates with a particle size greater than 100 mm, and send the crushed aggregates into the semi-finished product silo ( Figure 2 (not shown), the crushed aggregate is transferred to the single-cylinder cone crusher 1012 through the semi-finished product silo for crushing.

[0068] In this embodiment, when the machine-made sand production mode is the wet sand making mode, the intelligent control device 101 is further used to control the spraying device 1013 to flush the aggregate fed into the first vibrating screen 1010, and collect the initial image of the flushed aggregate through the camera device 103, determine the initial cleanliness of the flushed aggregate according to the initial image, and judge whether the initial cleanliness is greater than or equal to the preset cleanliness threshold. If the initial cleanliness is greater than or equal to the preset cleanliness threshold, the spacing value of the first vibrating screen 1010 is controlled to screen out aggregates with a particle size of 30mm-100mm, aggregates with a particle size of 10mm-30mm, and aggregates with a particle size of less than 10mm, and control the first vibrating screen 1010 to feed the aggregates with a particle size of 30mm-100mm into the high-level silo ( Figure 2), transferred to the multi-cylinder cone crusher 1014 through the high-level silo; control the first vibrating screen 1010 to send 10mm-30mm aggregates into the shaping sand making machine 1015; control the first vibrating screen 1010 to determine the aggregates with a particle size less than 10mm as slag; if the initial cleanliness is less than the preset cleanliness threshold, determine the target area to be rinsed according to the initial image of the flushed aggregate, and control the spraying equipment 1013 to rinse the flushed aggregate according to the target area to be rinsed until the detected aggregate cleanliness is greater than or equal to the preset cleanliness threshold. Exemplarily, the flushing intensity can also be determined according to the cleanliness difference between the initial cleanliness and the preset cleanliness threshold, the impurity position can be identified according to the initial image, the impurity position can be determined as the target area to be rinsed, and the target area to be rinsed can be sprayed according to the flushing intensity. It is also possible to take an image of the aggregate after re-rinsing, and detect the cleanliness of the aggregate again according to the taken image, until the detected aggregate cleanliness is greater than or equal to the preset cleanliness threshold. Wherein, obtaining the initial cleanliness of the initial image includes: extracting the impurity area from the initial image using image recognition technology, and taking the ratio of the impurity area to the total area of ​​the aggregate after flushing as the initial cleanliness.

[0069] In this embodiment, when the machine-made sand production mode is the wet sand making mode, the intelligent control device 101 is also used to control the shaping sand making machine 1015 to crush and shape the aggregate with a particle size of 10mm-30mm, and screen the aggregate with a particle size of 0-5mm and send it to the sand washing machine 1016. The intelligent control device 101 is also used to control the sand washing machine 1016 to wash the aggregate with a particle size of 0-5mm to obtain 0-5mm machine-made sand, and send the 0-5mm machine-made sand to the machine-made sand finished product silo ( Figure 2 not shown).

[0070] In one embodiment, the environmental data includes current temperature and / or current humidity, and the intelligent control device 101 is used to control the humidity adjustment device ( Figure 2 (not shown) so that the ambient humidity drops to a preset humidity threshold; if in the wet sand making mode, the temperature adjustment device ( Figure 2The working parameters of the control device (not shown) are adjusted so that the ambient temperature reaches a preset temperature threshold, and the sewage treatment equipment is controlled to discharge the sewage to obtain clean water and mud cake. Among them, the temperature adjustment device includes a heating device, and the humidity adjustment device includes a heating device and a dehumidifier. The heating device is used to increase the ambient temperature, and the dehumidifier is used to reduce the ambient humidity. The preset humidity threshold is determined based on the historical production data under the dry sand making mode of the construction site. The machine-made sand produced under the preset humidity threshold meets the quality requirements, the stone powder content of the machine-made sand meets the quality requirements, and the aggregate is qualified. The preset temperature threshold is determined based on the historical production data under the wet sand making mode of the construction site. Under the preset temperature threshold, the equipment operates normally without icing, pipe freezing and cracking and other faults.

[0071] In this embodiment, in the dry sand making mode, no sludge or sewage is generated, and the parent material needs to be desoiled before entering the crushing and shaping machine. The stone powder is recovered through large-scale dust removal equipment to reduce the stone powder content in the crushed stone.

[0072] In one embodiment, the intelligent control device 101 is also used to test the physical properties of the coarse aggregate, and the test items include particle grading, total content of needle-like particles, mud content, and mud block content.

[0073] Among them, the detection of the total content of needle-like particles can be carried out by scanning with a camera to obtain an initial image of coarse aggregate, extracting the aggregate edge feature information in the initial image of coarse aggregate according to the image recognition model, and calculating the total content of needle-like particles according to the aggregate edge features. In this way, the total content of needle-like particles can be quickly calculated, and the accuracy of the total content of needle-like particles can be improved.

[0074] It should be added that the chemical properties of coarse aggregate can also be tested, including rock compressive strength, water absorption, tight porosity, solidity, sulfide and sulfate rock content, chloride content, organic matter content and alkali activity, crushing index, etc.

[0075] For example, the technical requirements for the total content of needle-like particles are shown in Table 1, wherein the total content of needle-like particles is tested in accordance with GB / T14685. When the concrete strength grade is less than C30, the total content of needle-like particles is less than or equal to 10%; when the concrete strength grade is between C30 and C45, the total content of needle-like particles is less than or equal to 8%; when the concrete strength grade is greater than or equal to C50, the total content of needle-like particles is less than or equal to 5%.

[0076] Table 1. Technical requirements for the total content of needle-like particles.

[0077]

[0078] In one embodiment, the intelligent control device 101 is also used to control the single-cylinder cone crusher 1012 to feed the crushed aggregate into the second vibrating screen ( Figure 2 The second vibrating screen is used to screen the aggregate with a particle size greater than 31.5 mm, the aggregate with a particle size of 16-31.5 mm, the aggregate with a particle size of 10-20 mm, and the aggregate with a particle size less than or equal to 10 mm. The intelligent control device 101 is also used to control the second vibrating screen to return the aggregate with a particle size greater than 31.5 mm to the transfer silo ( Figure 2 The transfer silo is controlled to transfer aggregates with a particle size greater than 31.5 mm into the multi-cylinder cone crusher 1014 for further crushing.

[0079] In one embodiment, the intelligent control device 101 is further used to control the second vibrating screen to feed aggregate with a particle size of less than or equal to 10 mm into the vertical shaft impact crusher ( Figure 2 The second vibrating screen is controlled to feed part or all of the aggregate with a particle size of 16-31.5 mm and all or part of the aggregate with a particle size of 10-20 mm into the vertical shaft impact crusher for shaping and sand making.

[0080] In one embodiment, the intelligent control device 101 is further used to control the vertical shaft impact crusher to feed the crushed aggregate into the third vibrating screen ( Figure 2 (not shown), the third vibrating screen is controlled to screen the aggregate into aggregates with a particle size of 0-5 mm and aggregates with a particle size of 5-10 mm, and the third vibrating screen is controlled to return the aggregates with a particle size of 5-10 mm to make sand.

[0081] In this embodiment, the crushed stone is washed by a spray device to reduce the stone powder content on the surface of the crushed stone to ensure the cleanliness of the aggregate, and the sand washing device is used to wash it to ensure the cleanliness of the machine-made sand. The sewage is treated by sewage treatment equipment to ensure that the production water can be recycled. In the wet sand making mode, the gradation, fineness modulus and stone powder content of the machine-made sand are adjusted by using a sand washer and a sand washing recovery device, and recycling measures are taken to recycle the stone powder and wastewater.

[0082] In this embodiment, the spraying equipment 1013 includes multiple nozzle assemblies, and the intelligent control device 101 is also used to determine at least one target spraying assembly from the multiple nozzle assemblies according to the target area to be flushed; determine the spraying parameters of the target spraying assembly according to the initial cleanliness of the aggregate after flushing, and the spraying parameters include spraying start and end time, spraying intensity and spraying range; control the target spraying assembly to flush the flushed aggregate according to the spraying parameters.

[0083] It is further explained that the nozzle assembly includes a continuous spray mode and an intermittent spray mode, and the intelligent control device 101 is also used to switch to the continuous spray mode or the intermittent spray mode according to the spray start and end time, spray intensity and spray range.

[0084] In this embodiment, the intelligent control device 101 is also used to obtain the actual current curve of the target device, and fit the fusion current curve according to each of the actual current curves; each of the target devices includes a transport vehicle 104, a soil screener 106, a crushing and shaping machine 107, a dust removal device 108, a vibrating feeder 109, a first vibrating screen 1010, a jaw crusher 1011, a single-cylinder cone crusher 1012, a spraying device 1013, a multi-cylinder cone crusher 1014, a shaping sand making machine 1015, a sand washing machine 1016 and a sewage treatment device 1017.

[0085] The intelligent control device 101 is also used to determine the sliding window according to the length of the preset standard fusion wave; extract multiple current bands from the fusion current curve according to the sliding window; calculate the current data characteristic distance between each current band and the preset standard fusion wave; determine the average current data characteristic distance of multiple current data characteristic distances; determine whether the average current data characteristic distance is less than or equal to the preset characteristic distance threshold; if the average current data characteristic distance is less than or equal to the preset characteristic distance threshold, it is determined that each target device is operating normally; if the average current data characteristic distance is greater than the preset characteristic distance threshold, the actual current curve of each target device is calculated. The similarity between the preset standard current curve of each target device is determined according to the similarity of each target device and the preset similarity threshold of each target device. Wherein, the similarity can be calculated according to the current deviation between the actual current curve of each target device and the preset standard current curve of each target device, and the preset similarity threshold can be determined according to actual needs. For example, the preset similarity threshold can be set to 95%. The smaller the current deviation, the higher the similarity. If the similarity of a target device is less than the preset similarity threshold of the target device, the target device is determined to be faulty and an alarm is given. If the similarity of a target device is greater than or equal to the preset similarity threshold of the target device, the target device is determined to be operating normally.

[0086] It should be noted that the preset standard fusion wave is the standard value of the current data of all target devices under normal operating conditions. The length of the preset standard fusion wave can be the length corresponding to an operating cycle. i times the length of the preset standard fusion wave can be used as a sliding window, i≥1, and i is an integer.

[0087] In this way, the intelligent control device 101 can view the monitoring diagram of the current data of each device in the control system of the artificial sand. By monitoring the current, it can confirm whether the equipment is operating normally and the production status of the production line, so as to discover potential problems and ensure the efficient operation of the relevant production equipment of the artificial sand. Even if faulty equipment is found, production efficiency can be improved and equipment loss can be reduced.

[0088] It should be noted that the intelligent control device 101 is also used to normalize the actual current curves of each target device to obtain a normalized current curve of each actual current curve; fuse the normalized current curves according to a preset current fusion weight to obtain the fused current curve; calculate the characteristic parameters of each current band and the characteristic parameters of a preset standard fused current wave; calculate the current data characteristic distance between the characteristic parameters of each current band and the characteristic parameters of the preset standard fused current wave.

[0089] In this embodiment, the current fusion weight of the normalized current curve of each target device can be set according to the importance of each target device. For example, when the target devices include a transport vehicle 104, a soil screener 106, a crushing and shaping machine 107, a dust removal device 108, and a vibrating feeder 109, the current fusion weights can be set according to the importance to be 20% for the transport vehicle 104, 30% for the soil screener 106, 10% for the crushing and shaping machine 107, 25% for the dust removal device 108, and 15% for the vibrating feeder 109. Other current fusion weights can also be set, which are not limited here.

[0090] It should be noted that when 1 times the length of the preset standard fusion wave is used as the sliding window, the characteristic parameters of each current band are the mean, variance, number of data greater than the mean, and number of data greater than the median of each current band. When 2 or more integer multiples of the length of the preset standard fusion wave are used as the sliding window, the sliding window includes multiple sub-time periods, and the length of each sub-time period is the same as the length of the preset standard fusion wave. The mean, variance, number of data greater than the mean, and number of data greater than the median corresponding to each sub-time period of the sliding window are counted, and the average value of the mean, variance, number of data greater than the mean, and number of data greater than the median corresponding to each sub-time period is calculated, and the calculated average value is used as the characteristic parameter of each current band. The characteristic parameters of the preset standard fusion current wave are the mean, variance, number of data greater than the mean, and number of data greater than the median of the preset standard fusion current wave. Then, the characteristic distance between the characteristic parameters of each current band and the characteristic parameters of the preset standard fused current wave is calculated, for example, the Mahalanobis distance between the characteristic parameters of each current band and the characteristic parameters of the preset standard fused current wave is calculated, or the Euclidean distance between the characteristic parameters of each current band and the characteristic parameters of the preset standard fused current wave is calculated, and no limitation is made here. In this way, it is possible to accurately judge whether each target recognition is operating normally through the current data, avoid misjudgment, and improve accuracy.

[0091] In this embodiment, the control system of machine-made sand can be divided into a main production subsystem, a conveying subsystem, a control subsystem, a wet sand making subsystem and a dry sand making subsystem. Among them, the main production subsystem includes a vibrating feeder, a feeder, a jaw crusher, a multi-cylinder hydraulic cone crusher, a vertical shaft impact crusher, a circular vibrating screen and a suspended permanent magnetic iron remover. The conveying subsystem includes aggregate conveying equipment, and the control subsystem includes an electric control cabinet, a cable, a video monitoring system and an intelligent control device. The wet sand making subsystem includes a sand washing and fine sand recovery all-in-one machine, a sewage treatment system and a spray water pump, etc., and the dry sand making subsystem includes a dust collector, a powder tank and a bucket elevator. It should be noted that the control system of machine-made sand can add other equipment as needed, or use other identical or similar equipment to achieve the same purpose, which is not limited here.

[0092] Demonstration, a construction project is located in a high-cold area, the raw material is granite slag, the winter is long and the environmental protection requirements are strict. The existing dry sand making is highly sensitive to raw materials and weather. In case of rainy weather or raw material slag melt water, the finished sand and gravel are easy to be coated with powder, resulting in excessive powder content in sand and gravel aggregates, resulting in unqualified aggregates, affecting the performance of concrete and causing project delays. The existing wet sand making is sensitive to ambient temperature and is prone to freezing in a high-cold environment, causing failures such as freezing and cracking of components such as pipelines and pumps, and the operating cost of the wet process is higher than that of the dry process. For this construction project, the control system for machine-made sand provided in this embodiment is adopted. The intelligent control device automatically determines whether to use a dry sand making mode or a wet sand making mode to prepare machine-made sand according to the raw material quality parameters of granite slag, environmental data in high-cold areas, and a pre-acquired sand production database, thereby avoiding the problems existing in the existing wet sand making and the existing dry sand making, and improving the quality of machine-made sand.

[0093] The control system of machine-made sand provided in this embodiment determines the machine-made sand production mode according to the environmental data and a pre-acquired sand production database. The machine-made sand production mode includes a dry sand making mode and a wet sand making mode. In the wet sand making mode, the ambient temperature is increased, and in the dry sand making mode, the ambient humidity is reduced to improve the quality of machine-made sand and reduce the cost of machine-made sand.

[0094] Example 2

[0095] In addition, an embodiment of the present application provides a method for controlling machine-made sand, which is applied to the control system of machine-made sand provided in Example 1.

[0096] like Figure 3 As shown in the figure, the control methods of machine-made sand include:

[0097] Step S301, the data acquisition sensor collects environmental data;

[0098] Step S302, the intelligent control device determines a machine-made sand production mode according to the environmental data and a pre-acquired sand production database, where the machine-made sand production mode includes a dry sand making mode and a wet sand making mode;

[0099] Step S303, if the machine-made sand production mode is the dry sand making mode, the intelligent control device controls the transport vehicle to pour the parent material into the raw material bin, controls the raw material bin to send the parent material into the soil screening machine, controls the soil screening machine to perform soil and stone separation on the parent material to obtain candidate aggregates;

[0100] Step S304, photographing an initial aggregate image of the candidate aggregate by a camera device, judging whether the mud content of the candidate aggregate is less than or equal to a preset mud content threshold value according to the initial aggregate image, and if the mud content of the candidate aggregate is less than or equal to the preset mud content threshold value, controlling the soil screening machine to send the candidate aggregate into a crushing and shaping machine, and controlling the crushing and shaping machine to crush and shape the candidate aggregate to obtain shaped crushed stone;

[0101] Step S305, controlling the dust removal device to perform dust removal on the shaped crushed stone to obtain candidate machine-made sand; photographing a machine-made sand image of the candidate machine-made sand by the camera device, and judging whether the stone powder content of the candidate machine-made sand is less than or equal to a preset stone powder content threshold value according to the machine-made sand image and the standard machine-made sand image;

[0102] Step S306, if the stone powder content is less than or equal to the preset stone powder content threshold, the candidate machine-made sand is used as the final machine-made sand; if the stone powder content is greater than the preset stone powder content threshold, the current dust concentration of the on-site environment is detected by a dust sensor to determine whether the current dust concentration is greater than or equal to the preset dust concentration threshold; if the current dust concentration is greater than or equal to the preset dust concentration threshold, the dust removal equipment is started to perform dust removal processing.

[0103] In one embodiment, the method for controlling machine-made sand further includes:

[0104] If the machine-made sand production mode is the wet sand making mode, the transport vehicle is controlled to pour the parent material into the raw material bin, and a vibrating feeder and a first vibrating screen are arranged below the raw material bin;

[0105] The vibrating feeder receives the parent material from the raw material bin;

[0106] The intelligent control device adjusts the spacing value of the vibrating feeder so that aggregates with a particle size greater than 100 mm enter the jaw crusher, and aggregates with a particle size less than 100 mm enter the first vibrating screen; controls the jaw crusher to crush aggregates with a particle size greater than 100 mm, and sends the crushed aggregates to a semi-finished product bin, and the crushed aggregates are transferred to a single-cylinder cone crusher for crushing through the semi-finished product bin; controls the spray device to rinse the aggregates of the first vibrating screen, collects an initial image of the flushed aggregates through the camera device, determines the initial cleanliness of the flushed aggregates according to the initial image, and judges whether the initial cleanliness is greater than or equal to a preset cleanliness threshold. If the initial cleanliness is greater than or equal to the preset cleanliness threshold, controls the spacing value of the first vibrating screen to screen out aggregates with a particle size of 30 mm-100 mm, aggregates with a particle size of 10 mm-30 mm, and aggregates with a particle size of Aggregates smaller than 10mm, and the first vibrating screen is controlled to send aggregates with a particle size of 30mm-100mm into the high-level silo, and then transferred to the multi-cylinder cone crusher through the high-level silo; the first vibrating screen is controlled to send aggregates with a particle size of 10mm-30mm into the shaping sand making machine; the first vibrating screen is controlled to determine aggregates with a particle size less than 10mm as slag; if the initial cleanliness is less than the preset cleanliness threshold, the target area to be flushed is determined according to the initial image of the flushed aggregate, and the spraying equipment is controlled to flush the flushed aggregate according to the target area to be flushed; the shaping sand making machine is controlled to crush and shape aggregates with a particle size of 10mm-30mm, and aggregates with a particle size of 0-5mm are screened and sent to the sand washing machine; the sand washing machine is controlled to clean aggregates with a particle size of 0-5mm to obtain 0-5mm machine-made sand, and the 0-5mm machine-made sand is sent to the finished machine-made sand silo.

[0107] In one embodiment, the method for controlling machine-made sand further includes:

[0108] Controlling the camera device to capture multiple frames of dust images at the inlet of the dust removal device;

[0109] Extracting dust size features from the inlet dust image data of each frame through a pre-built dust image recognition model;

[0110] Calculate the current dust accumulation amount according to the dust size characteristics of the inlet dust image data of each frame and the duration of dust removal;

[0111] Determining a dust concentration variation trend according to dust size characteristics of the inlet dust image data of each frame;

[0112] Obtaining a predicted flushing time of the dust removal device according to the current dust accumulation amount, the dust concentration change trend and the maximum dust amount of the dust removal device;

[0113] A flushing control instruction is generated according to the predicted flushing time, and the dust removal equipment is started to perform dust flushing processing according to the flushing control instruction.

[0114] In one embodiment, obtaining the predicted flushing time of the dust removal device according to the current dust accumulation amount, the dust concentration change trend and the maximum dust amount of the dust removal device includes:

[0115] Calculating the remaining dust removal time required to reach the remaining removable dust amount according to the dust concentration change trend;

[0116] The predicted flushing time is determined according to the remaining dust removal time.

[0117] In one embodiment, the method for controlling machine-made sand further includes:

[0118] Determine at least one target spray assembly from the plurality of nozzle assemblies according to the target area to be rinsed;

[0119] Determining the spray parameters of the target spray assembly according to the initial cleanliness of the aggregate after flushing, wherein the spray parameters include spray start and end time, spray intensity and spray range;

[0120] The target spraying assembly is controlled to rinse the flushed aggregate according to the spraying parameters.

[0121] In one embodiment, the method for controlling machine-made sand further includes:

[0122] Obtaining actual current curves of target equipment, and fitting a fusion current curve according to each of the actual current curves; each of the target equipment includes a transport vehicle, a soil screener, a crushing and shaping machine, a dust removal device, a vibrating feeder, a first vibrating screen, a jaw crusher, a multi-cylinder cone crusher, a shaping sand making machine, and a spraying device;

[0123] Determine the sliding window according to the length of the preset standard fusion wave;

[0124] Extracting a plurality of current bands from the fused current curve according to the sliding window;

[0125] Calculating the current data characteristic distance between each of the current wave bands and the preset standard fusion wave;

[0126] Determine an average current data characteristic distance of a plurality of the current data characteristic distances;

[0127] Determine whether the average current data characteristic distance is less than or equal to a preset characteristic distance threshold;

[0128] If the characteristic distance of the average current data is less than or equal to a preset characteristic distance threshold, it is determined that each of the target devices is operating normally;

[0129] If the characteristic distance of the average current data is greater than the preset characteristic distance threshold, the similarity between the actual current curve of each target device and the preset standard current curve of each target device is calculated, and whether each target device has a fault is determined based on the similarity of each target device and the preset similarity threshold of each target device.

[0130] In one embodiment, the step of fitting a fused current curve according to each of the actual current curves comprises:

[0131] Normalizing the actual current curves of the target devices to obtain normalized current curves of the actual current curves;

[0132] fusing each normalized current curve according to a preset current fusion weight to obtain the fused current curve;

[0133] The calculating of the current data characteristic distance between each current wave segment and the preset standard fusion wave comprises:

[0134] Calculating characteristic parameters of each current wave band and characteristic parameters of the preset standard fusion current wave;

[0135] The current data characteristic distance between the characteristic parameters of each current wave segment and the characteristic parameters of the preset standard fusion current wave is calculated.

[0136] The control method of machine-made sand provided in this embodiment is applied to implement the control system of machine-made sand provided in Example 1, and can realize the corresponding functions and achieve the corresponding effects. To avoid repetition, it will not be described here.

[0137] Example 3

[0138] 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 control method for machine-made sand provided in Example 2 is executed.

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

[0140] Example 4

[0141] 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 control method for machine-made sand provided in Example 2 is implemented.

[0142] 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.

[0143] The computer-readable storage medium provided in this embodiment can implement the control method of machine-made sand provided in Example 1, and will not be described again here to avoid repetition.

[0144] 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.

[0145] 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.

[0146] 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 methods. The above-mentioned specific implementation methods 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 control system for machine-made sand, characterized in that: The control system of the machine-made sand comprises: Data acquisition sensors for collecting environmental data; An intelligent control device, used for determining a machine-made sand production mode according to the environmental data and a pre-acquired sand production database, wherein the machine-made sand production mode includes a dry sand making mode and a wet sand making mode; The intelligent control device is used for, if the machine-made sand production mode is the dry sand making mode, controlling the transport vehicle to pour the parent material into the raw material bin, controlling the raw material bin to send the parent material into the soil screen, and controlling the soil screen to perform soil and stone separation on the parent material to obtain candidate aggregates; photographing the initial aggregate image of the candidate aggregate by a camera device, judging whether the mud content of the candidate aggregate is less than or equal to a preset mud content threshold value according to the initial aggregate image, and if the mud content of the candidate aggregate is less than or equal to the preset mud content threshold value, controlling the soil screen to send the candidate aggregate into the crushing and shaping machine, controlling the crushing and shaping machine to crush and shape the candidate aggregate to obtain shaped crushed stone; controlling the dust removal device to remove the shaped The crushed stone is subjected to dust removal treatment to obtain candidate machine-made sand; the machine-made sand image of the candidate machine-made sand is captured by the camera device, and whether the stone powder content of the candidate machine-made sand is less than or equal to a preset stone powder content threshold is determined based on the machine-made sand image and the standard machine-made sand image; if the stone powder content is less than or equal to the preset stone powder content threshold, the candidate machine-made sand is used as the final machine-made sand; if the stone powder content is greater than the preset stone powder content threshold, the current dust concentration of the on-site environment is detected by a dust sensor to determine whether the current dust concentration is greater than or equal to the preset dust concentration threshold; if the current dust concentration is greater than or equal to the preset dust concentration threshold, the dust removal device is started to perform dust removal treatment; The intelligent control device is further used to control the camera device to capture multiple frames of inlet dust images of the dust removal device; Extract dust size features from each frame of inlet dust image data through a pre-built dust image recognition model; Calculate the current dust accumulation amount according to the dust size characteristics of the inlet dust image data of each frame and the duration of dust removal; Determining a dust concentration variation trend according to dust size characteristics of the inlet dust image data of each frame; Obtaining a predicted flushing time of the dust removal device according to the current dust accumulation amount, the dust concentration change trend and the maximum dust amount of the dust removal device; A flushing control instruction is generated according to the predicted flushing time, and the dust removal equipment is started to perform dust flushing processing according to the flushing control instruction.

2. The control system for machine-made sand according to claim 1, characterized in that: The intelligent control device is further used for controlling the transport vehicle to pour the parent material into the raw material bin if the machine-made sand production mode is the wet sand making mode, and a vibrating feeder and a first vibrating screen are arranged below the raw material bin; The vibrating feeder is used to receive the parent material from the raw material bin; The intelligent control device is also used to adjust the spacing value of the vibrating feeder so that aggregates with a particle size greater than 100 mm enter the jaw crusher, and aggregates with a particle size less than 100 mm enter the first vibrating screen; control the jaw crusher to crush aggregates with a particle size greater than 100 mm, and send the crushed aggregates to a semi-finished product bin, and the crushed aggregates are transferred to a single-cylinder cone crusher for crushing through the semi-finished product bin; control the spraying device to rinse the aggregates on the first vibrating screen, collect an initial image of the flushed aggregates through the camera device, determine the initial cleanliness of the flushed aggregates based on the initial image, and judge whether the initial cleanliness is greater than or equal to a preset cleanliness threshold. If the initial cleanliness is greater than or equal to the preset cleanliness threshold, then control the spacing value of the first vibrating screen to screen out aggregates with a particle size of 30mm-100mm, aggregates with a particle size of 10mm-30mm and aggregates with a particle size less than 10mm, and control the first vibrating screen to send aggregates with a particle size of 30mm-100mm into a high-level silo, and transfer them to a multi-cylinder cone crusher through the high-level silo; control the first vibrating screen to send aggregates with a particle size of 10mm-30mm into a shaping sand making machine; control the first vibrating screen to determine aggregates with a particle size less than 10mm as slag; if the initial cleanliness is less than the preset cleanliness threshold, determine the target area to be flushed according to the initial image of the flushed aggregate, and control the spraying equipment to flush the flushed aggregate according to the target area to be flushed; The shaping sand making machine is controlled to crush and shape aggregates with a particle size of 10mm-30mm, and aggregates with a particle size of 0-5mm are screened and sent to the sand washing machine; the sand washing machine is controlled to wash aggregates with a particle size of 0-5mm to obtain 0-5mm machine-made sand, and the 0-5mm machine-made sand is sent to the machine-made sand finished product silo.

3. The system according to claim 2, characterized in that The intelligent control device is further used to subtract the current dust accumulation amount from the maximum dust amount to obtain the remaining removable dust amount; Calculating the remaining dust removal time required to reach the remaining removable dust amount according to the dust concentration change trend; The predicted flushing time is determined according to the remaining dust removal time.

4. The system according to claim 3, characterized in that The spraying device includes a plurality of nozzle assemblies, and the intelligent control device is further used to determine at least one target spraying assembly from the plurality of nozzle assemblies according to the target area to be rinsed; Determining the spray parameters of the target spray assembly according to the initial cleanliness of the aggregate after flushing, wherein the spray parameters include spray start and end time, spray intensity and spray range; The target spraying assembly is controlled to rinse the flushed aggregate according to the spraying parameters.

5. The system according to claim 4, characterized in that The intelligent control device is also used to obtain the actual current curve of the target device, and fit the fusion current curve according to each of the actual current curves; each of the target devices includes a transport vehicle, a soil screener, a crushing and shaping machine, a dust removal device, a vibrating feeder, a first vibrating screen, a jaw crusher, a multi-cylinder cone crusher, a shaping sand making machine and a spraying device; Determine the sliding window according to the length of the preset standard fusion wave; Extracting a plurality of current bands from the fused current curve according to the sliding window; Calculating the current data characteristic distance between each of the current wave bands and the preset standard fusion wave; Determine an average current data characteristic distance of a plurality of the current data characteristic distances; Determine whether the average current data characteristic distance is less than or equal to a preset characteristic distance threshold; If the characteristic distance of the average current data is less than or equal to a preset characteristic distance threshold, it is determined that each of the target devices is operating normally; If the characteristic distance of the average current data is greater than the preset characteristic distance threshold, the similarity between the actual current curve of each target device and the preset standard current curve of each target device is calculated, and whether each target device has a fault is determined based on the similarity of each target device and the preset similarity threshold of each target device.

6. The system according to claim 5, characterized in that The intelligent control device is further used to normalize the actual current curves of the target devices to obtain normalized current curves of the actual current curves; fusing each normalized current curve according to a preset current fusion weight to obtain the fused current curve; Calculating characteristic parameters of each current wave band and characteristic parameters of a preset standard fusion current wave; The current data characteristic distance between the characteristic parameters of each current wave segment and the characteristic parameters of the preset standard fusion current wave is calculated.

7. A method for controlling machine-made sand, characterized in that: A control system for machine-made sand according to any one of claims 1 to 6, the method comprising: Data acquisition sensors collect environmental data; The intelligent control device determines the machine-made sand production mode according to the environmental data and the pre-acquired sand production database, and the machine-made sand production mode includes a dry sand making mode and a wet sand making mode; If the machine-made sand production mode is a dry sand making mode, the intelligent control device controls the transport vehicle to pour the parent material into the raw material bin, controls the raw material bin to send the parent material into the soil screening machine, and controls the soil screening machine to perform soil and stone separation on the parent material to obtain candidate aggregates; An initial aggregate image of the candidate aggregate is captured by a camera device, and whether the mud content of the candidate aggregate is less than or equal to a preset mud content threshold is determined according to the initial aggregate image; if the mud content of the candidate aggregate is less than or equal to the preset mud content threshold, the soil screening machine is controlled to send the candidate aggregate into a crushing and shaping machine, and the crushing and shaping machine is controlled to crush and shape the candidate aggregate to obtain shaped crushed stone; Controlling the dust removal device to perform dust removal on the shaped crushed stone to obtain candidate machine-made sand; photographing a machine-made sand image of the candidate machine-made sand by the camera device, and judging whether the stone powder content of the candidate machine-made sand is less than or equal to a preset stone powder content threshold value according to the machine-made sand image and the standard machine-made sand image; If the stone powder content is less than or equal to the preset stone powder content threshold, the candidate machine-made sand is used as the final machine-made sand; if the stone powder content is greater than the preset stone powder content threshold, the current dust concentration of the on-site environment is detected by a dust sensor to determine whether the current dust concentration is greater than or equal to the preset dust concentration threshold; if the current dust concentration is greater than or equal to the preset dust concentration threshold, the dust removal equipment is started to perform dust removal processing; Controlling the camera device to capture multiple frames of dust images at the inlet of the dust removal device; Extract dust size features from each frame of inlet dust image data through a pre-built dust image recognition model; Calculate the current dust accumulation amount according to the dust size characteristics of the inlet dust image data of each frame and the duration of dust removal; Determining a dust concentration variation trend according to dust size characteristics of the inlet dust image data of each frame; Obtaining a predicted flushing time of the dust removal device according to the current dust accumulation amount, the dust concentration change trend and the maximum dust amount of the dust removal device; A flushing control instruction is generated according to the predicted flushing time, and the dust removal equipment is started to perform dust flushing processing according to the flushing control instruction.

8. 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 controlling machine-made sand according to claim 7 is executed.

9. A computer-readable storage medium, characterized in that: The device stores a computer program, which, when running on a processor, executes the method for controlling machine-made sand according to claim 7.

Images