Quartz sand roller classifying screen operation control method and system

Abstract

The invention discloses a quartz sand roller classifying screen operation control method and system, and relates to the technical field of quartz sand screening. The method comprises the steps that image data of raw material quartz sand are detected, and raw material physical parameters of the raw material quartz sand are obtained; the screening grade of the crushed quartz sand is predicted based on the crushing operation parameters and the raw material physical parameters of the roller classifying screen, the roller classifying screen is controlled to execute first screening operation based on the screen hole parameters corresponding to the screening grade, the roller classifying screen posture parameters and the operation parameters, and real-time operation parameters when the roller classifying screen executes the first screening operation are obtained; and controlling the roller classifying screen to execute second screening operation on the basis of the first screening operation and the second screening operation to obtain screened quartz sand, and controlling the roller classifying screen to output the screened quartz sand according to the raw material weight corresponding to the raw material quartz sand and the screening weight of the screened quartz sand, the quartz sand screening efficiency and accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of quartz sand classification and screening, and specifically, to a method and system for controlling the operation of a quartz sand drum classifier screen. Background Art

[0002] Quartz sand is widely used in multiple industries, including glass manufacturing, casting, construction, ceramics, electronics, chemical engineering, etc. However, since the obtained raw material quartz sand has a relatively large size, and each industry has different requirements for the particle size, purity, and morphology of the quartz sand to be used. Based on this, it is necessary to crush the obtained raw material quartz sand and screen out the quartz sand that meets the corresponding requirements from the crushed quartz sand for subsequent processing.

[0003] With the development of technology, in order to improve the production efficiency of quartz sand, the prior art often uses a drum screening device to perform operations such as crushing and screening of quartz sand. Among them, the drum screening device includes a drum for crushing and screening quartz sand and a support platform for supporting the drum in different postures. Among them, a crushing component and a screen with adjustable size are arranged in the drum; after the crushing component crushes the fed raw material, the crushed quartz sand is fed onto the screen to classify and screen the quartz sand according to the size of the screen, and finally, quartz sand with different morphologies is output in sequence.

[0004] However, when the prior art uses the drum screening device to screen quartz sand, it mainly relies on manual experience or input of fixed parameters to control the drum screening device, such as manually adjusting the posture of the drum screening device or manually adjusting the size of the screen holes of the screen. This method not only has low efficiency but also cannot adapt to the operating conditions of drum screening devices with different component structures, and it is difficult to accurately capture the crushing state and screening effect of quartz sand, resulting in deviations between the screening of quartz sand and the crushing of quartz sand, affecting the efficiency and accuracy of quartz sand classification and screening. Summary of the Invention

[0005] In order to solve the above technical problems, the present invention discloses a method and system for controlling the operation of a quartz sand drum classifier screen, which are used to improve the efficiency and accuracy of quartz sand classification and screening.

[0006] In order to achieve the above object, the present invention discloses a method for controlling the operation of a quartz sand drum classifier screen, including: Obtaining image data of raw material quartz sand and detecting the image data to obtain the raw material physical parameters of the raw material quartz sand; Controlling a drum classifier screen to perform a crushing operation on the raw material quartz sand based on preset crushing operation parameters, and predicting the screening grade of the crushed quartz sand according to the raw material physical parameters and the crushing operation parameters; wherein, the crushed quartz sand is obtained after the raw material quartz sand is crushed; Based on the screen hole parameters corresponding to the screening grade, the attitude parameters of the drum classifier, and the preset operation parameters, control the drum classifier to perform the first screening operation on the crushed quartz sand; Obtain the real-time operation parameters of the drum classifier when performing the first screening operation, and adjust the attitude parameters and the operation parameters of the drum classifier according to the real-time operation parameters, so as to control the drum classifier to perform the second screening operation on the crushed quartz sand; Obtain the screened quartz sand based on the first screening operation and the second screening operation, and control the drum classifier to output the screened quartz sand according to the raw material weight corresponding to the raw material quartz sand and the screening weight of the screened quartz sand.

[0007] The present invention discloses a method for controlling the operation of a drum classifier for quartz sand. First, obtain the image data of the raw material quartz sand, identify the raw material quartz sand according to the image data to obtain its corresponding physical parameters, and when the drum classifier performs a crushing operation on the raw material quartz sand, combine the crushing operation parameters of the drum classifier and the physical parameters of the raw material to predict the screening grade of the crushed quartz sand, and then match the screen hole parameters and the attitude parameters of the drum classifier when screening the crushed quartz sand according to the screening grade, so as to correspondingly register the crushing and screening of the quartz sand, thereby improving the accuracy of screening. Secondly, during screening, obtain the real-time operation parameters of the drum classifier, and adjust the attitude parameters and the operation parameters of the drum classifier according to the real-time operation parameters, so as to achieve precise screening of quartz sand by improving the operation safety of the drum classifier. Finally, obtain the screening effect of the current screening operation according to the weight of the screened quartz sand and the weight of the raw material quartz sand, and timely obtain the screened quartz sand of the current screening operation according to the screening effect, thereby improving the screening efficiency.

[0008] As a preferred example, the obtaining of the image data of the raw material quartz sand and the detection of the image data to obtain the raw material physical parameters of the raw material quartz sand include: Obtain the optical image corresponding to the raw material quartz sand, and convert the optical image into a grayscale image; Based on a preset edge detection algorithm, extract the contour information of the raw material quartz sand from the grayscale image, and obtain the raw material size information of the raw material quartz sand according to the contour information; Divide the grayscale image into several regional grayscale images, and perform feature extraction on each of the regional grayscale images and the grayscale image to obtain the overall feature data corresponding to the grayscale image and the regional feature data corresponding to each of the regional grayscale images; Retrieve a preset feature data set; wherein, the feature data set includes the type of quartz sand, the overall feature data of each type of quartz sand, and several regional feature data of quartz sand; Compare the overall feature data with the overall feature data of the quartz sand to obtain a first comparison result, and compare the regional feature data with the regional feature data of the quartz sand to obtain a second comparison result; Determine the type of the raw material quartz sand according to the first comparison result and the second comparison result, so as to retrieve the hardness information of the raw material quartz sand according to the type; wherein, the raw material physical parameters include the raw material size information and the hardness information.

[0009] In the above solution, in order to improve the recognition accuracy of the raw material quartz sand, first obtain its corresponding optical image to enhance the effect of the raw material quartz sand in the image. Secondly, convert the optical image into a grayscale image to improve the accuracy of edge detection of the raw material quartz sand in the image based on the edge detection algorithm, thereby improving the accuracy of the raw material size information. Then, extract the overall features of the grayscale image and the regional features corresponding to each region in the grayscale image for classification detection of quartz sand, improving the accuracy of classification.

[0010] As a preferred example, the predicting the screening grade of the crushed quartz sand according to the raw material physical parameters and the crushing operation parameters includes: Input the raw material size information, the hardness information, and the crushing operation parameters into a pre-constructed particle size prediction model, so that the particle size prediction model extracts the material characteristics of the raw material quartz sand according to the size information and the hardness information, and extracts the crushing power characteristics of the drum classifier according to the crushing operation parameters; Based on the material characteristics and the crushing power characteristics, the particle size prediction model outputs the crushing size information of the crushed quartz sand, and determines the screening grade of the crushed quartz sand according to the crushing size information.

[0011] In the above solution, after determining the hardness information and size information of the raw material quartz sand according to the classification result, combine the crushing operation parameters of the drum classifier and a preset particle size prediction model to predict the crushing degree of the raw material quartz sand by the drum classifier. On the one hand, it provides a screening basis for subsequent screening, making the screening correspond to the crushing and improving the accuracy of screening. On the other hand, it realizes the automatic grading of quartz sand and improves the screening efficiency.

[0012] As a preferred example, the controlling the drum classifier to perform a first screening operation on the crushed quartz sand based on the screen hole parameters corresponding to the screening grade, the attitude parameters of the drum classifier, and preset operation parameters includes: Match the screen hole size information, rotation speed, and inclination angle corresponding to the broken size information; Retrieve the screen hole parameters corresponding to the screen hole size information, the rotation speed, and the drum classifier attitude parameters corresponding to the inclination angle, so as to control the drum classifier to perform the first screening operation on the broken quartz sand according to the drum classifier attitude parameters, the screen hole parameters, and the preset operation parameters.

[0013] In the above solution, after determining the breaking grade of the broken quartz sand, retrieve the screen hole size information, rotation speed, and inclination angle corresponding to the optimal screening of the broken quartz sand, and control the drum classifier to perform the first screening operation on the broken quartz sand according to the parameters corresponding to the information obtained above, so as to improve the efficiency and accuracy of quartz sand screening.

[0014] As a preferred example, the controlling the drum classifier to perform the first screening operation on the broken quartz sand based on the screen hole parameters, drum classifier attitude parameters, and preset operation parameters corresponding to the screening grade further includes: When the drum classifier performs the first screening operation, obtain the image of the broken quartz sand in real time, and perform target tracking on the image through a preset target tracking algorithm to obtain the tumbling trajectory of the broken quartz sand inside the drum classifier; Adjust the rotation speed and the inclination angle according to the tumbling trajectory, and control the drum classifier to perform the first screening operation according to the drum classifier attitude parameters corresponding to the adjusted rotation speed and the adjusted inclination angle.

[0015] In the above solution, when performing the first screening operation on the broken quartz sand, due to the usage situation of the drum classifier or emergencies, etc., the screening effect of the first screening operation cannot reach the best. At this time, capture the tumbling trajectory of the broken quartz sand inside the drum classifier to replace the screening effect of the broken quartz sand. For example, if the rotation speed is too slow, the broken quartz sand cannot tumble sufficiently, etc. In this way, use the tumbling trajectory to adjust the rotation speed and the inclination angle to improve the screening efficiency and screening effect of the quartz sand.

[0016] As a preferred example, the obtaining the real-time operation parameters when the drum classifier performs the first screening operation and adjusting the drum classifier attitude parameters and the operation parameters according to the real-time operation parameters includes: Divide the real-time operation parameters into multiple operation data blocks according to the data type, and perform abnormal data detection on the real-time operation parameters; When there are abnormal operating parameters among the real-time operating parameters, locate the abnormal operating data block where the abnormal operating parameters are located, so as to determine the overall abnormal mode of the drum sizing screen based on the real-time operating parameters and determine the local abnormal mode of the drum sizing screen based on the abnormal operating data block; Detect the abnormal position of the drum sizing screen according to the overall abnormal mode and the local abnormal mode, and adjust the attitude parameters and the operating parameters of the drum sizing screen according to the abnormal position.

[0017] In the above solution, the operating parameters of the drum sizing screen are collected in real time to timely identify the abnormal state of the drum sizing screen, locate the corresponding abnormal position according to the abnormal state, and then adjust the operating parameters according to the abnormal position, improving the operating safety of the drum sizing screen, and further improving the screening efficiency and screening accuracy of quartz sand.

[0018] As a preferred example, the screening quartz sand obtained based on the first screening operation and the second screening operation further includes: Obtain the initial feeding material speed of the drum sizing screen when feeding the crushed quartz sand to perform the first screening operation and the second screening operation based on the operating parameters; Measure the real-time weight of the screening quartz sand inside the drum sizing screen in real time; Determine the real-time feeding material speed of the crushed quartz sand according to the real-time weight, and adjust the operating parameters according to the real-time feeding material speed and the initial feeding material speed.

[0019] In the above solution, when the drum sizing screen performs the screening operation, the screening quartz sand inside the drum sizing screen is obtained in real time to avoid excessive quartz sand inside the drum sizing screen affecting the screening effect. At the same time, the feeding material speed of the drum sizing screen is adjusted by using the real-time weight, so that the drum sizing screen screens the quartz sand fastest at the optimal feeding material speed, improving the screening efficiency.

[0020] As a preferred example, the control of the drum sizing screen to output the screening quartz sand according to the raw material weight corresponding to the raw material quartz sand and the screening weight of the screening quartz sand includes: Obtain the difference between the screening weight and the raw material weight. When the difference is less than or equal to a preset threshold, control the drum sizing screen to output the screening quartz sand; When the drum sizing screen outputs the screening quartz sand, retrieve the crushing size information of the crushed quartz sand and the hardness information of the raw material quartz sand, and output the crushing size information and the hardness information to generate the physical parameters corresponding to the screening quartz sand.

[0021] In the above solution, by timely detecting the change in the difference between the weight of the raw material quartz sand and the weight of the screened quartz sand, the screening progress of the quartz sand is identified according to the change in the difference, and the screened quartz sand is timely conveyed out according to the screening progress, thereby saving the time for subsequent screening of the quartz sand. Among them, while conveying the screened quartz sand, the physical parameters corresponding to the screened quartz sand are displayed to improve the classification efficiency of the subsequent quartz sand.

[0022] On the other hand, the present invention also discloses an operating control system for a quartz sand roller classifier, including a raw material identification module, a crushing prediction module, a screening control module, a control adjustment module, and a material transmission module; The raw material identification module is used to obtain the image data of the raw material quartz sand and detect the image data to obtain the raw material physical parameters of the raw material quartz sand; The crushing prediction module is used to control the roller classifier to perform a crushing operation on the raw material quartz sand based on preset crushing operation parameters, and predict the screening grade of the crushed quartz sand according to the raw material physical parameters and the crushing operation parameters; wherein, the crushed quartz sand is obtained after the raw material quartz sand is crushed; The screening control module is used to control the roller classifier to perform a first screening operation on the crushed quartz sand based on the screen hole parameters corresponding to the screening grade, the roller classifier attitude parameters, and preset operation parameters; The control adjustment module is used to obtain the real-time operation parameters when the roller classifier performs the first screening operation, and adjust the roller classifier attitude parameters and the operation parameters according to the real-time operation parameters to control the roller classifier to perform a second screening operation on the crushed quartz sand; The material transmission module is used to obtain the screened quartz sand based on the first screening operation and the second screening operation, and control the roller classifier to output the screened quartz sand according to the raw material weight corresponding to the raw material quartz sand and the screening weight of the screened quartz sand.

[0023] The present invention discloses an operating control system for a quartz sand drum classifier. First, image data of raw quartz sand is acquired to identify the raw quartz sand according to the image data and obtain its corresponding physical parameters. When the drum classifier performs a crushing operation on the raw quartz sand, the screening grade of the crushed quartz sand is predicted by combining the crushing operation parameters of the drum classifier and the physical parameters of the raw material. Then, the screen hole parameters and the attitude parameters of the drum classifier during screening of the crushed quartz sand are matched according to the screening grade, so as to correspondingly register the crushing and screening of the quartz sand, thereby improving the accuracy of screening. Secondly, during screening, the real-time operating parameters of the drum classifier are acquired, and the attitude parameters and the operation parameters of the drum classifier are adjusted according to the real-time operating parameters, so as to achieve precise screening of the quartz sand by improving the operating safety of the drum classifier. Finally, the screening effect of the current screening operation is obtained according to the weight of the screened quartz sand and the weight of the raw quartz sand, and the screened quartz sand of the current screening operation is acquired in a timely manner according to the screening effect, thereby improving the screening efficiency.

[0024] As a preferred example, the raw material identification module includes a hardness identification unit and a size identification unit; The size identification unit is used to acquire the optical image corresponding to the raw quartz sand and convert the optical image into a grayscale image; based on a preset edge detection algorithm, the contour information of the raw quartz sand is extracted from the grayscale image, and the raw material size information of the raw quartz sand is obtained according to the contour information; The hardness identification unit is used to divide the grayscale image into several regional grayscale images, extract features from each of the regional grayscale images and the grayscale image, and obtain the overall feature data corresponding to the grayscale image and the regional feature data corresponding to each of the regional grayscale images; retrieve a preset feature data set; wherein, the feature data set includes the types of quartz sand, the overall quartz sand feature data corresponding to each type of quartz sand, and several quartz sand regional feature data; compare the overall feature data with the overall quartz sand feature data to obtain a first comparison result, and compare the regional feature data with the quartz sand regional feature data to obtain a second comparison result; determine the type of the raw quartz sand according to the first comparison result and the second comparison result, and retrieve the hardness information of the raw quartz sand according to the type; wherein, the raw material physical parameters include the raw material size information and the hardness information.

[0025] In the above solution, in order to improve the recognition accuracy of raw material quartz sand, first, the corresponding optical image is obtained to enhance the effect of the raw material quartz sand in the image. Secondly, the optical image is converted into a grayscale image to improve the accuracy of edge detection of the raw material quartz sand in the image based on the edge detection algorithm, thereby improving the accuracy of the raw material size information. Then, the overall features of the grayscale image and the regional features corresponding to each region in the grayscale image are extracted for classification detection of the quartz sand, improving the accuracy of classification. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 : A flowchart of a method for controlling the operation of a quartz sand roller classifier provided by an embodiment of the present invention; Figure 2 : A schematic structural diagram of a system for controlling the operation of a quartz sand roller classifier provided by an embodiment of the present invention; Figure 3 : A flowchart of a method for controlling the operation of a quartz sand roller classifier provided by another embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0028] Embodiment 1 This embodiment provides a method for controlling the operation of a quartz sand roller classifier, which is used to improve the efficiency and accuracy of quartz sand classification and screening. Specifically, the specific implementation steps of the operation control method are as follows with reference to Figure 1 , mainly including steps 101 to 105, and the steps are mainly as follows: Step 101: Obtain the image data of the raw material quartz sand, and detect the image data to obtain the raw material physical parameters of the raw material quartz sand.

[0029] In this embodiment, this step mainly includes: obtaining the optical image corresponding to the raw material quartz sand and converting the optical image into a grayscale image; extracting the contour information of the raw material quartz sand from the grayscale image based on a preset edge detection algorithm to obtain the raw material size information of the raw material quartz sand according to the contour information; dividing the grayscale image into several regional grayscale images, and performing feature extraction on each of the regional grayscale images and the grayscale image to obtain the overall feature data corresponding to the grayscale image and the regional feature data corresponding to each of the regional grayscale images; retrieving a preset feature data set; wherein, the feature data set includes the types of quartz sand, the overall quartz sand feature data corresponding to each type of quartz sand, and several quartz sand regional feature data; comparing the overall feature data with the overall quartz sand feature data to obtain a first comparison result, and comparing the regional feature data with the quartz sand regional feature data to obtain a second comparison result; determining the type of the raw material quartz sand according to the first comparison result and the second comparison result, and retrieving the hardness information of the raw material quartz sand according to the type; wherein, the raw material physical parameters include the raw material size information and the hardness information.

[0030] In this embodiment, the above steps are to improve the recognition accuracy of the raw material quartz sand. First, obtain its corresponding optical image to enhance the effect of the raw material quartz sand in the image. Secondly, convert the optical image into a grayscale image to improve the accuracy of edge detection of the raw material quartz sand in the image based on the edge detection algorithm, and further improve the accuracy of the raw material size information. Then, extract the overall features of the grayscale image and the regional features corresponding to each region in the grayscale image for classification detection of quartz sand to improve the accuracy of classification.

[0031] Step 102: Control the roller sizing screen to perform a crushing operation on the raw material quartz sand based on preset crushing operation parameters, and predict the screening grade of the crushed quartz sand according to the raw material physical parameters and the crushing operation parameters; wherein, the crushed quartz sand is obtained after the raw material quartz sand is crushed.

[0032] In this embodiment, this step mainly includes: inputting the raw material size information, the hardness information, and the crushing operation parameters into a pre-constructed particle size prediction model, so that the particle size prediction model extracts the material characteristics of the raw material quartz sand according to the size information and the hardness information, and extracts the crushing power characteristics of the roller sizing screen according to the crushing operation parameters; based on the material characteristics and the crushing power characteristics, the particle size prediction model outputs the crushing size information of the crushed quartz sand, and determines the screening grade of the crushed quartz sand according to the crushing size information.

[0033] In this embodiment, after determining the hardness information and size information of the raw material quartz sand according to the classification result, the crushing degree of the raw material quartz sand by the drum classifier is predicted by combining the crushing operation parameters of the drum classifier and the preset particle size prediction model. On the one hand, it provides a screening basis for subsequent screening, making the screening correspond to the crushing and improving the accuracy of screening. On the other hand, it realizes the automatic classification of quartz sand and improves the screening efficiency.

[0034] Step 103: Control the drum classifier to perform the first screening operation on the crushed quartz sand based on the screen hole parameters corresponding to the screening grade, the attitude parameters of the drum classifier, and the preset operation parameters.

[0035] In this embodiment, this step mainly includes: matching the screen hole size information, rotation speed, and inclination angle corresponding to the crushed size information; retrieving the screen hole parameters corresponding to the screen hole size information, the rotation speed, and the attitude parameters of the drum classifier corresponding to the inclination angle, so as to control the drum classifier to perform the first screening operation on the crushed quartz sand according to the attitude parameters of the drum classifier, the screen hole parameters, and the preset operation parameters.

[0036] Among them, when the drum classifier performs the first screening operation, the image of the crushed quartz sand is acquired in real time, and the target tracking algorithm is used to perform target tracking on the image to obtain the rolling trajectory of the crushed quartz sand inside the drum classifier; the rotation speed and the inclination angle are adjusted according to the rolling trajectory, and the drum classifier is controlled to perform the first screening operation according to the attitude parameters of the drum classifier corresponding to the adjusted rotation speed and the adjusted inclination angle.

[0037] In this embodiment, after determining the crushing grade of the crushed quartz sand, the screen hole size information, rotation speed, and inclination angle corresponding to the best screening of the crushed quartz sand are retrieved, and the drum classifier is controlled to perform the first screening operation on the crushed quartz sand according to the parameters corresponding to the information obtained above, so as to improve the efficiency and accuracy of quartz sand screening. When performing the first screening operation on the crushed quartz sand, due to the use situation or unexpected situation of the drum classifier, etc., the screening effect of the first screening operation cannot reach the best. At this time, the rolling trajectory of the crushed quartz sand inside the drum classifier is captured to replace the screening effect of the crushed quartz sand. For example, if the rotation speed is too slow and the crushed quartz sand cannot roll sufficiently, etc., and the rotation speed and the inclination angle are adjusted by using the rolling trajectory, so as to improve the screening efficiency and screening effect of quartz sand.

[0038] Step 104: Obtain the real-time operation parameters of the drum sizing screen when performing the first sizing operation, and adjust the attitude parameters and the operation parameters of the drum sizing screen according to the real-time operation parameters, so as to control the drum sizing screen to perform a second sizing operation on the crushed quartz sand.

[0039] In this embodiment, this step mainly includes: dividing the real-time operation parameters into multiple operation data blocks according to the data types, and performing abnormal data detection on the real-time operation parameters; when there are abnormal operation parameters in the real-time operation parameters, find the abnormal operation data block where the abnormal operation parameters are located, so as to determine the overall abnormal mode of the drum sizing screen based on the real-time operation parameters and determine the local abnormal mode of the drum sizing screen based on the abnormal operation data block; detect the abnormal position of the drum sizing screen according to the overall abnormal mode and the local abnormal mode, and adjust the attitude parameters and the operation parameters of the drum sizing screen according to the abnormal position.

[0040] In this embodiment, the above steps collect the operation parameters of the drum sizing screen in real time to timely identify the abnormal state of the drum sizing screen, locate the corresponding abnormal position according to the abnormal state, and then adjust the operation parameters according to the abnormal position, improve the operation safety of the drum sizing screen, and further improve the screening efficiency and screening accuracy of the quartz sand.

[0041] Step 105: Obtain sized quartz sand based on the first sizing operation and the second sizing operation, and control the drum sizing screen to output the sized quartz sand according to the raw material weight corresponding to the raw material quartz sand and the screening weight of the sized quartz sand.

[0042] In this embodiment, this step mainly includes: obtaining the initial feeding material speed of the drum sizing screen when feeding the crushed quartz sand to perform the first sizing operation and the second sizing operation based on the operation parameters; measuring the real-time weight of the sized quartz sand inside the drum sizing screen in real time; determining the real-time feeding material speed of the crushed quartz sand according to the real-time weight, and adjusting the operation parameters according to the real-time feeding material speed and the initial feeding material speed.

[0043] Wherein, obtain the change value of the difference between the screening weight and the raw material weight in real time. When the change value is less than or equal to a preset threshold, control the drum sizing screen to output the sized quartz sand; when the drum sizing screen outputs the sized quartz sand, retrieve the crushing size information of the crushed quartz sand and the hardness information of the raw material quartz sand, and output the crushing size information and the hardness information to generate the physical parameters corresponding to the sized quartz sand.

[0044] In this embodiment, when the above steps are performed for screening operation by the drum sizing screen, the screened quartz sand inside the drum sizing screen is obtained in real time, so as to avoid excessive quartz sand inside the drum sizing screen, which may affect the screening effect. Meanwhile, the feeding material speed of the drum sizing screen is adjusted by using the real-time weight, so that the drum sizing screen can screen the quartz sand fastest at the optimal feeding material speed, thereby improving the screening efficiency. At the same time, by timely detecting the change in the difference between the weight of the raw material quartz sand and the weight of the screened quartz sand, the screening progress of the quartz sand is identified according to the change in the difference, and the screened quartz sand is transported out in time according to the screening progress, thus saving the time for subsequent quartz sand screening. Among them, while transporting the screened quartz sand, the physical parameters corresponding to the screened quartz sand are displayed to improve the classification efficiency of the subsequent quartz sand.

[0045] On the other hand, the present invention also discloses an operating control system for a quartz sand drum sizing screen. For the specific structural composition of the operating control system, please refer to Figure 2 , which mainly includes a raw material identification module 201, a crushing prediction module 202, a screening control module 203, a control adjustment module 204 and a material transmission module 205.

[0046] The raw material identification module 201 is used to obtain the image data of the raw material quartz sand and detect the image data to obtain the raw material physical parameters of the raw material quartz sand.

[0047] The crushing prediction module 202 is used to control the drum sizing screen to perform a crushing operation on the raw material quartz sand based on preset crushing operation parameters, and predict the screening grade of the crushed quartz sand according to the raw material physical parameters and the crushing operation parameters; wherein, the raw material quartz sand is crushed to obtain the crushed quartz sand.

[0048] The screening control module 203 is used to control the drum sizing screen to perform a first screening operation on the crushed quartz sand based on the screen hole parameters corresponding to the screening grade, the attitude parameters of the drum sizing screen and preset operation parameters.

[0049] The control adjustment module 204 is used to obtain the real-time operation parameters when the drum sizing screen performs the first screening operation, and adjust the attitude parameters and the operation parameters of the drum sizing screen according to the real-time operation parameters, so as to control the drum sizing screen to perform a second screening operation on the crushed quartz sand.

[0050] The material transmission module 205 is used to obtain the screened quartz sand based on the first screening operation and the second screening operation, and control the drum sizing screen to output the screened quartz sand according to the raw material weight corresponding to the raw material quartz sand and the screening weight of the screened quartz sand.

[0051] In this embodiment, the raw material identification module 201 includes a hardness identification unit and a size identification unit.

[0052] The size identification unit is used to obtain the optical image corresponding to the raw material quartz sand, and convert the optical image into a grayscale image; based on a preset edge detection algorithm, extract the contour information of the raw material quartz sand from the grayscale image, so as to obtain the raw material size information of the raw material quartz sand according to the contour information.

[0053] The hardness identification unit is used to divide the grayscale image into several regional grayscale images, and extract features from each of the regional grayscale images and the grayscale image to obtain the overall feature data corresponding to the grayscale image and the regional feature data corresponding to each of the regional grayscale images; retrieve a preset feature data set; wherein, the feature data set includes the types of quartz sand, the overall feature data of quartz sand corresponding to each type of quartz sand, and several quartz sand regional feature data; compare the overall feature data with the overall feature data of quartz sand to obtain a first comparison result, and compare the regional feature data with the quartz sand regional feature data to obtain a second comparison result; determine the type of the raw material quartz sand according to the first comparison result and the second comparison result, so as to retrieve the hardness information of the raw material quartz sand according to the type; wherein, the raw material physical parameters include the raw material size information and the hardness information.

[0054] Embodiment 2 When the prior art uses a quartz sand screening device to screen quartz sand, it usually relies on the experience of personnel or input fixed operation parameters to control the quartz sand screening device to crush and screen the quartz sand. However, the above operation methods often result in the non-correspondence between the crushing effect of the quartz sand and the screening and grading of the quartz sand. For example, when an operator determines that the quartz sand will be crushed into smaller particles, the size of the inner screen of the quartz sand screening device is adjusted at this time. However, in the actual crushing process, the quartz sand screening device may be limited by the internal crushing components, resulting in the quartz sand being crushed into larger particles. At this time, the crushing degree of the quartz sand does not correspond to the size of the screen, resulting in the quartz sand screened by the quartz sand screening device having different particle sizes, resulting in low screening accuracy of the quartz sand. Further, when the quartz sand moves along the screen for screening, too much quartz sand may be put into the screening device, resulting in the screen being blocked, and then the quartz sand does not pass through the screen in time, or the temperature of the quartz sand screening device is too high, resulting in the suspension of screening, etc., which affects the screening efficiency of the quartz sand and results in low screening efficiency of the quartz sand.

[0055] To solve the above technical problems, this embodiment discloses a method for controlling the operation of a quartz sand drum classifier. First, by predicting the degree of crushing of the raw quartz sand by the drum classifier, the screening grades of the quartz sand are automatically classified to improve the screening efficiency and accuracy. Second, the operating state of the drum classifier is monitored in real time to adjust the drum classifier to avoid affecting the screening of the quartz sand, thereby improving the screening efficiency.

[0056] Specifically, for the specific implementation process of the method for controlling the operation of the quartz sand drum classifier, please refer to Figure 3 , which mainly includes steps 301 to 307. The steps are as follows: Step 301: Obtain the optical image of the raw quartz sand to be put into the drum classifier, and perform target detection and classification on the optical image to obtain the raw material hardness information and raw material size information of the raw quartz sand.

[0057] In this embodiment, this step is mainly: converting the obtained optical image of the raw quartz sand into a grayscale image, and extracting the contour information of the raw quartz sand from the grayscale image based on a preset edge detection algorithm, so as to calculate the raw material size information of the raw quartz sand according to the contour information; at the same time, dividing the grayscale image into several regional grayscale images to extract the overall feature data corresponding to the grayscale image and the regional feature data corresponding to each regional grayscale image, and then retrieving the pre-saved standard overall feature data and standard regional feature data corresponding to each type of quartz sand, so as to determine the type of the raw quartz sand based on the comparison result between the overall feature data and the standard overall feature data and the comparison result between the regional feature data and the standard regional feature data, and then obtain the raw material hardness information corresponding to the type.

[0058] In some embodiments of this embodiment, in order to improve the recognition accuracy of the raw quartz sand, high-definition camera devices can be set at different positions at the feeding port of the drum classifier to capture the optical images of the raw quartz sand at different positions. Further, taking the optical image in a certain direction as an example, first convert it into a grayscale image, that is, convert the color information of each pixel point in the image into a grayscale value (usually a value from 0 to 255), and separate the raw quartz sand from the background through the grayscale value to improve the recognition efficiency and accuracy of the raw quartz sand.

[0059] During the recognition process, first identify the contour of the raw quartz sand in each grayscale image through an edge detection algorithm (such as Canny, Sobel edge detectors), etc., and then calculate the size information of the raw quartz sand according to the images and the contour in different directions, such as area, perimeter, aspect ratio, circularity, etc. Among them, the area of the raw quartz sand in each grayscale image can be obtained by calculating the number of pixels inside the contour; The perimeter of the raw quartz sand in each grayscale image can be obtained by traversing the boundary pixels of the contour; the minor axis or major axis of the raw quartz sand in each grayscale image can also be obtained by calculating the minimum circumscribed rectangle or ellipse of the contour, etc.

[0060] When identifying the size information of the raw quartz sand based on the grayscale image, the degree of crushing of the raw quartz sand by the roller sizing screen depends not only on the crushing force of the roller sizing screen itself but also on the hardness of the quartz sand itself. Therefore, in order to improve the accuracy of subsequent quartz sand crushing prediction, it is necessary to obtain the type of the quartz sand to know its hardness information. Specifically, each grayscale image is segmented into several regional grayscale images, and feature extraction is performed on each of the regional grayscale images and the grayscale image to obtain the overall feature data corresponding to the grayscale image and the regional feature data corresponding to each of the regional grayscale images.

[0061] When extracting the overall feature data or the regional feature data, image processing techniques (such as template matching, corner detection, feature point detection, etc.) can be used to determine the precise position of the raw quartz sand in the image to extract the position features of the image, or texture features of the image can be extracted by methods such as gray-level co-occurrence matrix (GLCM), local binary pattern (LBP), etc. to analyze the continuity, uniformity, etc. of the line connections in the image; the distribution of gray values, histogram features, etc. can also be obtained and can still be used to describe the gray features of the image region, such as the brightness, contrast, etc. of the raw quartz sand, so as to use the position features, texture features or the gray features, etc. as the overall feature data or the regional feature data.

[0062] Then, a preset feature data set is retrieved. Among them, the feature data set includes the type of quartz sand, the overall feature data of each type of quartz sand, and several regional feature data of quartz sand. The overall feature data is compared with the overall feature data of the quartz sand to obtain a first comparison result, and the regional feature data is compared with the regional feature data of the quartz sand to obtain a second comparison result; the type of the raw quartz sand is determined according to the first comparison result and the second comparison result, so as to retrieve the hardness information of the raw quartz sand according to the type; among them, the raw material physical parameters include the raw material size information and the hardness information.

[0063] The comparison processes of the overall feature data and the regional feature data are all carried out in the same way. In the comparison process, similarity calculation or threshold determination can be used for comparison. Among them, similarity calculation uses various measurement methods (such as Euclidean distance, Manhattan distance, cosine similarity, etc.) to calculate the difference or similarity between feature vectors, while threshold judgment judges whether the difference is within an acceptable range according to a preset threshold.

[0064] Step 302: Obtain the crushing operation parameters of the drum sizing screen, and input the crushing operation parameters, the raw material hardness information, and the raw material size information into a preset particle size prediction model to predict the particle size grade of the crushed quartz sand, and use the particle size grade as the screening grade of the crushed quartz sand.

[0065] In this embodiment, this step mainly includes: inputting the raw material size information, the raw material hardness information, and the crushing operation parameters into a pre-constructed particle size prediction model, so that the particle size prediction model outputs the crushing size information of the crushed quartz sand, that is, the particle size grade, and determining the screening grade of the crushed quartz sand according to the crushing size information.

[0066] In some embodiments of this embodiment, first obtain the equipment identifier of the drum sizing screen, so as to determine the crushing component inside the drum sizing screen for crushing quartz sand according to the equipment identifier, and obtain the crushing operation parameters for controlling the crushing of the quartz sand by the crushing component, so as to adapt to the type of the drum sizing screen and improve the accuracy of screening grade prediction.

[0067] Specifically, before using the particle size prediction model for prediction, first train the model. During the training process of the model, collect data on the hardness of quartz sand (such as Mohs hardness value), size distribution (such as average particle size, particle size range, etc.). Record key operation parameters such as the rotation speed of the drum screen, the aperture of the screen mesh, the crushing time, and the feeding rate. Through laboratory tests or measurements in actual production, obtain the crushing degree data of the quartz sand after being crushed by the drum screen, which may include indicators such as particle size distribution and fine powder ratio.

[0068] According to the complexity of the problem and the availability of data, select a suitable prediction model. This may include linear regression, decision tree, random forest, support vector machine, neural network, etc. In this embodiment, a deep neural network (such as a multi-layer perceptron, a convolutional neural network, etc.) is selected as the initial model to be constructed. Divide the preprocessed data into a training set and a validation set (or a test set). Use the training set data to train the model, and minimize the prediction error by adjusting the model parameters. Evaluate the performance of the model on the validation set to avoid overfitting, and adjust the complexity and regularization strategy of the model as needed, so as to obtain the particle size prediction model.

[0069] In this embodiment, after inputting the raw material size information, the raw material hardness information, and the crushing operation parameters into the pre-constructed particle size prediction model, the particle size prediction model predicts the size grade where the particle information of the crushed quartz sand obtained by the drum sizing screen crushing the raw material quartz sand is located, and formulates the screening grade of the crushed quartz sand according to the size grade.

[0070] Step 303: Match the screen hole size corresponding to the screening grade and the attitude information of the rotary classifier to control the rotary classifier to perform the first screening operation through preset operation parameters.

[0071] In this embodiment, this step mainly includes: matching the screen hole size information, rotation speed, and tilt angle corresponding to the crushing size information; retrieving the screen hole parameters corresponding to the screen hole size information, the rotation speed, and the rotary classifier attitude parameters corresponding to the tilt angle, so as to control the rotary classifier to perform the first screening operation on the crushed quartz sand according to the rotary classifier attitude parameters, the screen hole parameters, and preset operation parameters.

[0072] In some embodiments of this embodiment, first, select a screen mesh with a screen hole size matching the specified screening grade from the available screen meshes inside the rotary classifier according to the screen hole size information. Then, use sensors (such as inclination sensors, gyroscopes, etc.) to monitor the attitude information of the rotary classifier in real time, including its tilt angle, rotation speed, etc. Then, make necessary adjustments to the rotary classifier according to the rotation speed and tilt angle corresponding to the crushing size information to ensure its stable attitude during the screening process. Finally, according to the screening grade, screen hole size, and the attitude information of the rotary classifier, call corresponding operation parameters, such as feeding rate, drum rotation speed, screening time, etc., to perform the first screening operation.

[0073] Step 304: Obtain the tumbling trajectory of the crushed quartz sand when the rotary classifier performs the first screening operation, so as to adjust the operation parameters and the attitude information according to the tumbling trajectory, and enable the rotary classifier to perform the second screening operation.

[0074] In this embodiment, this step mainly includes: obtaining the image of the crushed quartz sand in real time, and performing object tracking on the image through a preset object tracking algorithm to obtain the tumbling trajectory of the crushed quartz sand inside the rotary classifier; adjusting the rotation speed and the tilt angle according to the tumbling trajectory, and controlling the rotary classifier to perform the first screening operation according to the rotary classifier attitude parameters corresponding to the adjusted rotation speed and the adjusted tilt angle.

[0075] Specifically, in this embodiment, a high-speed camera or other monitoring devices can be installed at key positions of the rotary classifier to capture the tumbling situation of the quartz sand in the drum. And through image recognition or video analysis technology, record and analyze the tumbling trajectory of the quartz sand in real time. It should be noted that other technical means can also be used to obtain the tumbling situation of the quartz sand in the drum, such as deploying sensors (such as acceleration sensors, displacement sensors, etc.) inside or near the rotary classifier to monitor the motion state of the quartz sand in the drum.

[0076] Using sensor data, the tumbling trajectory information of quartz sand is obtained through algorithm processing. Then, key features of the quartz sand tumbling trajectory, such as tumbling speed, tumbling direction, tumbling frequency, etc., are extracted. Machine learning or deep learning techniques are used to perform pattern recognition on the extracted trajectory features to identify different tumbling patterns. Among them, different tumbling patterns reflect the density, stability or tumbling effect of the quartz sand tumbling trajectory. For example, according to the tumbling trajectory of the quartz sand, the rotation speed of the drum classifier is adjusted to optimize the tumbling effect of the quartz sand.

[0077] Or adjust the feeding rate according to the density of the tumbling trajectory to avoid the accumulation or excessive sparseness of quartz sand in the drum, or adjust the screening time according to the stability of the tumbling trajectory to ensure that the quartz sand is fully screened.

[0078] Step 305: Obtain the real-time operating parameters of the drum classifier when performing the first screening operation and the second screening operation, and adjust the attitude parameters and the operating parameters of the drum classifier according to the real-time operating parameters to control the drum classifier to perform a third screening operation on the crushed quartz sand.

[0079] In this embodiment, this step mainly includes: dividing the real-time operating parameters into multiple operating data blocks according to the data type, and performing abnormal data detection on the real-time operating parameters; when there are abnormal operating parameters in the real-time operating parameters, find the abnormal operating data block where the abnormal operating parameters are located, so as to determine the overall abnormal mode of the drum classifier based on the real-time operating parameters and determine the local abnormal mode of the drum classifier based on the abnormal operating data block; detect the abnormal position of the drum classifier according to the overall abnormal mode and the local abnormal mode, and adjust the attitude parameters and the operating parameters of the drum classifier according to the abnormal position.

[0080] In some embodiments of this embodiment, various sensors and data acquisition devices are used to collect various operating data of the drum classifier during operation in real time. These data include not only the basic operating information of the drum classifier (such as tilt angle, rotation speed, etc.), but also multi-dimensional data related to the operating safety and status of the drum classifier (such as current, temperature, fault alarm signal, etc.).

[0081] Next, the real-time operating parameters are divided into multiple operating data blocks according to the data type. Among them, a preprocessing algorithm is used to perform a preliminary analysis on the collected operating data, and the main features of each data sample are extracted, including information such as data type (such as continuous value, discrete value), data source (such as sensor type), and data timestamp. Preprocessing can use an algorithm based on clustering (such as K-means) to perform a preliminary clustering on the data features to achieve the classification of data blocks.

[0082] Next, obtain the historical operation dataset and its corresponding historical overall failure mode when the drum sizing screen has an overall failure during the historical operation process; use the historical operation dataset and its corresponding historical overall failure mode to train an overall failure detection model based on deep learning; if there is abnormal operation data in the operation dataset, input the operation dataset into the overall failure detection model to output the real-time overall failure mode of the drum sizing screen at the current time period.

[0083] Then, obtain the historical operation data blocks and their historical local failure modes when the drum sizing screen has multiple local failures during the historical operation process; use the historical operation data blocks and their historical local failure modes to train corresponding multiple local failure detection models based on deep learning respectively; find the operation data block corresponding to the abnormal operation data, input the operation data block into the corresponding local failure detection model to output the real-time local failure mode of the drum sizing screen at the current time period.

[0084] Step 306: Obtain the screened quartz sand based on the first screening operation, the second screening operation, and the third screening operation.

[0085] In this embodiment, this step mainly includes: obtaining the initial feeding material speed when the drum sizing screen feeds the crushed quartz sand to perform the first screening operation, the second screening operation, and the third screening operation; measuring the real-time weight of the screened quartz sand inside the drum sizing screen in real time; determining the real-time feeding material speed of the crushed quartz sand according to the real-time weight, and adjusting the operation parameters according to the real-time feeding material speed and the initial feeding material speed.

[0086] In some embodiments of this embodiment, the real-time weight of the screened quartz sand inside the drum sizing screen is measured in real time, and the relationship between the real-time weight and the rated processing capacity of the drum sizing screen is judged, and then the actual feeding speed is adjusted according to the relationship, so as to control the weight of the material in the screen cylinder.

[0087] Specifically, when the difference between the real-time weight and the rated processing capacity is less than or equal to the first weight threshold, The actual speed V1 of the conveyor belt = [1 + (G - g) / M]V; when the difference between the real-time weight and the rated processing capacity is greater than the first weight threshold and less than or equal to the second weight threshold, the actual speed V1 of the conveyor belt = V; when the difference between the real-time weight and the rated processing capacity is greater than the second weight threshold, the actual speed V1 of the conveyor belt = [(G - g) / M]V. Wherein, V1 is the real-time feeding material speed, V is the initial feeding material speed, G is the rated processing capacity, and g is the real-time weight.

[0088] Step 307: Control the drum classifier to output the screened quartz sand according to the weight of the raw material quartz sand and the screening weight of the screened quartz sand.

[0089] In this embodiment, this step mainly includes: obtaining in real time the change value of the difference between the screening weight and the raw material weight, and when the change value is less than or equal to a preset threshold, controlling the drum classifier to output the screened quartz sand; when the drum classifier outputs the screened quartz sand, retrieving the crushing size information of the crushed quartz sand and the hardness information of the raw material quartz sand, and outputting the crushing size information and the hardness information to generate the physical parameters corresponding to the screened quartz sand.

[0090] The method and system for controlling the operation of the quartz sand drum classifier disclosed in this embodiment first obtain the image data of the raw material quartz sand to identify the raw material quartz sand according to the image data and obtain its corresponding physical parameters, so as to predict the screening grade of the crushed quartz sand by combining the crushing operation parameters of the drum classifier and the physical parameters of the raw material when the drum classifier performs a crushing operation on the raw material quartz sand, and then match the screen hole parameters and the attitude parameters of the drum classifier when screening the crushed quartz sand according to the screening grade to correspondingly register the crushing and screening of the quartz sand, thereby improving the accuracy of screening. Secondly, during screening, obtain the real-time operation parameters of the drum classifier and adjust the attitude parameters and the operation parameters of the drum classifier according to the real-time operation parameters to achieve precise screening of the quartz sand by improving the operation safety of the drum classifier. Finally, obtain the screening effect of the current screening operation based on the weight of the screened quartz sand and the weight of the raw material quartz sand, and timely obtain the screened quartz sand of the current screening operation according to the screening effect, thereby improving the screening efficiency.

[0091] The above specific embodiments have further elaborated on the purpose, technical solutions, and beneficial effects of the present invention. It should be understood that the above are only specific embodiments of the present invention and are not used to limit the protection scope of the present invention. In particular, it is pointed out that for those skilled in the art, any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A quartz sand drum grading screen operation control method, characterized in that: include: Acquire image data of raw quartz sand, and detect the image data to obtain raw material physical parameters of the raw quartz sand; Based on the preset crushing operation parameters, the drum grading screen is controlled to perform a crushing operation on the raw quartz sand, and the screening grade of the crushed quartz sand is predicted according to the physical parameters of the raw material and the crushing operation parameters; wherein the crushed quartz sand is obtained after the raw quartz sand is crushed; Controlling the drum grading screen to perform a first screening operation on the crushed quartz sand based on the sieve hole parameters corresponding to the screening grade, the posture parameters of the drum grading screen and the preset operation parameters; Acquiring real-time operating parameters of the drum grading screen when performing the first screening operation, and adjusting the posture parameters and the operating parameters of the drum grading screen according to the real-time operating parameters, so as to control the drum grading screen to perform a second screening operation on the crushed quartz sand; Screened quartz sand is obtained based on the first screening operation and the second screening operation, and the drum grading screen is controlled to output the screened quartz sand according to the raw material weight corresponding to the raw quartz sand and the screening weight of the screened quartz sand.

2. A quartz sand drum grading screen operation control method according to claim 1, characterized in that: The step of acquiring image data of the raw quartz sand and detecting the image data to obtain physical parameters of the raw quartz sand includes: Acquire an optical image corresponding to the raw material quartz sand, and convert the optical image into a grayscale image; Extracting contour information of the raw quartz sand from the grayscale image based on a preset edge detection algorithm, so as to obtain raw material size information of the raw quartz sand according to the contour information; The grayscale image is divided into a plurality of regional grayscale images, and features are extracted for each of the regional grayscale images and the grayscale images to obtain overall feature data corresponding to the grayscale image and regional feature data corresponding to each of the regional grayscale images; Retrieving a preset feature data set; wherein the feature data set includes the type of quartz sand, the overall feature data of quartz sand corresponding to each type of quartz sand, and a plurality of quartz sand regional feature data; Comparing the overall characteristic data with the overall characteristic data of the quartz sand to obtain a first comparison result, and comparing the regional characteristic data with the regional characteristic data of the quartz sand to obtain a second comparison result; The type of the raw quartz sand is determined according to the first comparison result and the second comparison result, so as to retrieve the hardness information of the raw quartz sand according to the type; wherein the raw material physical parameters include the raw material size information and the hardness information.

3. A quartz sand drum grading screen operation control method according to claim 2, characterized in that: The method of predicting the screening grade of crushed quartz sand according to the raw material physical parameters and the crushing operation parameters includes: Inputting the raw material size information, the hardness information and the crushing operation parameters into a pre-built particle size prediction model, so that the particle size prediction model extracts the material characteristics of the raw material quartz sand according to the size information and the hardness information, and extracts the crushing power characteristics of the drum grading screen according to the crushing operation parameters; Based on the material characteristics and the crushing power characteristics, the particle size prediction model outputs crushing size information of the crushed quartz sand, and determines the screening grade of the crushed quartz sand according to the crushing size information.

4. A quartz sand drum grading screen operation control method according to claim 3, characterized in that: The method of controlling the drum grading screen to perform a first screening operation on the crushed quartz sand based on the sieve hole parameters corresponding to the screening grade, the drum grading screen posture parameters and the preset operation parameters comprises: Matching the sieve size information, rotation speed and tilt angle corresponding to the crushing size information; The sieve hole parameters corresponding to the sieve hole size information and the drum grading screen posture parameters corresponding to the rotation speed and the inclination angle are retrieved, so as to control the drum grading screen to perform a first screening operation on the crushed quartz sand according to the drum grading screen posture parameters, the sieve hole parameters and preset operating parameters.

5. A quartz sand drum grading screen operation control method according to claim 4, characterized in that: The method of controlling the drum grading screen to perform a first screening operation on the crushed quartz sand based on the sieve hole parameters corresponding to the screening grade, the drum grading screen posture parameters and the preset operation parameters also includes: When the drum grading screen performs the first screening operation, an image of the crushed quartz sand is acquired in real time, and the image is tracked by a preset target tracking algorithm to obtain a rolling trajectory of the crushed quartz sand inside the drum grading screen; The rotation speed and the inclination angle are adjusted according to the rolling trajectory, and the drum grading screen is controlled to perform the first screening operation according to the posture parameters of the drum grading screen corresponding to the adjusted rotation speed and the adjusted inclination angle.

6. A quartz sand drum grading screen operation control method according to claim 1, characterized in that: The acquiring of the real-time operating parameters of the drum grading screen when performing the first screening operation, and adjusting the posture parameters and the operating parameters of the drum grading screen according to the real-time operating parameters, includes: Dividing the real-time operation parameters into a plurality of operation data blocks according to data types, and performing abnormal data detection on the real-time operation parameters; When the real-time operating parameters have abnormal operating parameters, searching for the abnormal operating data block where the abnormal operating parameters are located, so as to determine the overall abnormal mode of the drum grading screen based on the real-time operating parameters and determine the local abnormal mode of the drum grading screen based on the abnormal operating data block; The abnormal position of the drum grading screen is detected according to the overall abnormal mode and the local abnormal mode, and the posture parameters and the operating parameters of the drum grading screen are adjusted according to the abnormal position.

7. A quartz sand drum grading screen operation control method according to claim 6, characterized in that: The method of obtaining screened quartz sand based on the first screening operation and the second screening operation further includes: Based on the operating parameters, an initial material feeding speed when the drum grading screen feeds the crushed quartz sand to perform the first screening operation and the second screening operation is obtained; Real-time measurement of the real-time weight of the screened quartz sand inside the drum grading screen; The real-time material feeding speed of the crushed quartz sand is determined according to the real-time weight, and the operating parameters are adjusted according to the real-time material feeding speed and the initial material feeding speed.

8. A quartz sand drum grading screen operation control method according to claim 6, characterized in that: The step of controlling the drum grading screen to output the screened quartz sand according to the raw material weight corresponding to the raw quartz sand and the screened weight of the screened quartz sand comprises: Acquire the change value of the difference between the screening weight and the raw material weight in real time, and when the change value is less than or equal to a preset threshold, control the drum grading screen to output the screened quartz sand; When the drum grading screen outputs the screened quartz sand, the crushing size information of the crushed quartz sand and the hardness information of the raw quartz sand are retrieved, and the crushing size information and the hardness information are output to generate physical parameters corresponding to the screened quartz sand.

9. A quartz sand drum grading screen operation control system, characterized in that: It includes raw material identification module, crushing prediction module, screening control module, control adjustment module and material transmission module; The raw material identification module is used to obtain image data of raw quartz sand, and detect the image data to obtain raw material physical parameters of the raw quartz sand; The crushing prediction module is used to control the drum grading screen to crush the raw quartz sand based on the preset crushing operation parameters, and predict the screening grade of the crushed quartz sand according to the raw material physical parameters and the crushing operation parameters; wherein the crushed quartz sand is obtained after the raw quartz sand is crushed; The screening control module is used to control the drum grading screen to perform a first screening operation on the crushed quartz sand based on the sieve hole parameters corresponding to the screening grade, the drum grading screen posture parameters and the preset operation parameters; The control and adjustment module is used to obtain the real-time operating parameters of the drum grading screen when performing the first screening operation, and adjust the posture parameters and the operating parameters of the drum grading screen according to the real-time operating parameters to control the drum grading screen to perform the second screening operation on the crushed quartz sand; The material transfer module is used to obtain screened quartz sand based on the first screening operation and the second screening operation, and control the drum grading screen to output the screened quartz sand according to the raw material weight corresponding to the raw quartz sand and the screening weight of the screened quartz sand.

10. A quartz sand drum grading screen operation control system according to claim 9, characterized in that: The raw material identification module includes a hardness identification unit and a size identification unit; The size recognition unit is used to obtain an optical image corresponding to the raw quartz sand and convert the optical image into a grayscale image; extract the contour information of the raw quartz sand from the grayscale image based on a preset edge detection algorithm, so as to obtain the raw size information of the raw quartz sand according to the contour information; The hardness identification unit is used to divide the grayscale image into several regional grayscale images, and perform feature extraction on each of the regional grayscale images and the grayscale images to obtain overall feature data corresponding to the grayscale image and regional feature data corresponding to each of the regional grayscale images; retrieve a preset feature data set; wherein the feature data set includes the type of quartz sand, the overall feature data of quartz sand corresponding to each type of quartz sand, and several regional feature data of quartz sand; compare the overall feature data with the overall feature data of quartz sand to obtain a first comparison result, and compare the regional feature data with the regional feature data of quartz sand to obtain a second comparison result; determine the type of the raw quartz sand according to the first comparison result and the second comparison result, so as to retrieve the hardness information of the raw quartz sand according to the type; wherein the raw material physical parameters include the raw material size information and the hardness information.

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