CN117133373B - Intelligent classification system for quartz sand production and processing based on mixing algorithm - Google Patents
Intelligent classification system for quartz sand production and processing based on mixing algorithm Download PDFInfo
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- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 title claims abstract description 107
- 239000006004 Quartz sand Substances 0.000 title claims abstract description 98
- 238000012545 processing Methods 0.000 title claims abstract description 56
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 21
- 238000002156 mixing Methods 0.000 title claims description 12
- 238000000605 extraction Methods 0.000 claims abstract description 29
- 238000012544 monitoring process Methods 0.000 claims abstract description 28
- 238000000034 method Methods 0.000 claims abstract description 18
- 230000008569 process Effects 0.000 claims abstract description 15
- 238000011156 evaluation Methods 0.000 claims abstract description 7
- 238000013500 data storage Methods 0.000 claims abstract description 5
- 239000012535 impurity Substances 0.000 claims description 42
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 claims description 37
- 229910052710 silicon Inorganic materials 0.000 claims description 37
- 239000010703 silicon Substances 0.000 claims description 37
- 239000003344 environmental pollutant Substances 0.000 claims description 32
- 231100000719 pollutant Toxicity 0.000 claims description 32
- 238000004364 calculation method Methods 0.000 claims description 17
- 239000000523 sample Substances 0.000 claims description 14
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 13
- 238000013441 quality evaluation Methods 0.000 claims description 11
- 239000000126 substance Substances 0.000 claims description 8
- 238000003908 quality control method Methods 0.000 claims description 7
- 238000005406 washing Methods 0.000 claims description 6
- 239000002245 particle Substances 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 3
- 239000000356 contaminant Substances 0.000 claims description 3
- 238000001035 drying Methods 0.000 claims description 3
- 239000012467 final product Substances 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- 239000000843 powder Substances 0.000 claims description 3
- 238000003672 processing method Methods 0.000 claims description 3
- 239000004576 sand Substances 0.000 claims description 3
- 238000001228 spectrum Methods 0.000 claims description 2
- 238000004876 x-ray fluorescence Methods 0.000 claims description 2
- 230000002349 favourable effect Effects 0.000 abstract 1
- 235000012239 silicon dioxide Nutrition 0.000 description 4
- 239000002253 acid Substances 0.000 description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000002386 leaching Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000010453 quartz Substances 0.000 description 2
- 239000000377 silicon dioxide Substances 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- OYPRJOBELJOOCE-UHFFFAOYSA-N Calcium Chemical compound [Ca] OYPRJOBELJOOCE-UHFFFAOYSA-N 0.000 description 1
- 229910000519 Ferrosilicon Inorganic materials 0.000 description 1
- 238000003723 Smelting Methods 0.000 description 1
- 239000003082 abrasive agent Substances 0.000 description 1
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- 239000011575 calcium Substances 0.000 description 1
- 229910052791 calcium Inorganic materials 0.000 description 1
- 238000005266 casting Methods 0.000 description 1
- -1 casting Substances 0.000 description 1
- 239000000919 ceramic Substances 0.000 description 1
- 238000003776 cleavage reaction Methods 0.000 description 1
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- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 239000010423 industrial mineral Substances 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 239000002932 luster Substances 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003921 oil Substances 0.000 description 1
- 239000004033 plastic Substances 0.000 description 1
- 229920003023 plastic Polymers 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
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- 229910052604 silicate mineral Inorganic materials 0.000 description 1
- 239000004575 stone Substances 0.000 description 1
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Abstract
The invention relates to the technical field of electric digital data processing, and discloses an intelligent classification system for quartz sand production and processing based on a hybrid algorithm, which specifically comprises a data acquisition module: collecting related data of a target object; and a data storage module: storing all data information of the system, and realizing data sharing and extraction; element feature extraction module: extracting data in the element content unit; the data classification processing module: calculating the quality indexes of all elements of the quartz sand, and classifying according to the quality indexes; and an automatic monitoring module: real-time data of classifying the target object is monitored; and (3) an evaluation quality module: evaluating the quality failure rate of the target object; and a remote control module: the data is displayed and fed back in real time, so that the result is convenient to view; the method is favorable for effectively classifying the quality of the quartz sand, can timely and effectively treat the unqualified quartz sand and improve the utilization of the quartz sand, and can orderly extract the quartz sand in the subsequent production and processing process.
Description
Technical Field
The invention relates to the technical field of electric digital data processing, in particular to an intelligent classification system for quartz sand production and processing based on a mixing algorithm.
Background
The quartz sand is quartz particles formed by crushing and processing quartz stone, is a silicate mineral with hardness, wear resistance and stable chemical property, and mainly comprises silicon dioxide, wherein the color of the silicon dioxide is milky white or colorless semitransparent, the hardness is 7, the property is brittle without cleavage, shell-shaped fracture and oil luster; quartz sand is also an important industrial mineral raw material, is not a chemical dangerous article, is widely used in industries such as glass, casting, ceramic and fireproof materials, smelting ferrosilicon, metallurgical flux, metallurgy, construction, chemical industry, plastics, rubber, abrasive materials, filter materials and the like, and has a very important position in aviation, aerospace, electronics, machinery and the internet industry which rapidly develops nowadays due to the unique physical and chemical properties of quartz sand.
In the actual production and processing process of quartz sand, the quality of the quartz sand is affected by a plurality of comprehensive factors, wherein the influence factors comprise chemical components, particle size distribution, shape, water content and the like, the real quality condition of the quartz sand can not be comprehensively reflected by classifying the quartz sand only by means of a single factor, the unqualified quartz sand can not be timely processed, the utilization rate of the unqualified quartz sand is not high, and the unqualified quartz sand can not be orderly extracted in the production and processing.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides an intelligent classification system for quartz sand production and processing based on a mixing algorithm, which aims to solve the problems in the background art.
The invention provides the following technical scheme: an intelligent classification system for quartz sand production and processing based on a mixing algorithm comprises:
and a data acquisition module: the device comprises an element feature extraction module, a data acquisition module and a data processing module, wherein the element feature extraction module is used for acquiring related data of a target object through acquisition equipment and transmitting the data to the element feature extraction module; the acquisition equipment comprises an X-ray fluorescence spectrum, an electronic probe micro-area analysis, an optical sensor, an infrared sensor and a camera, wherein the related data comprise impurities on the surface, particle size, density, quality, color and chemical components, and the target object is quartz sand;
and a data storage module: the data processing system is used for receiving data of the data acquisition module, storing all data information of the system and realizing data sharing and extraction, wherein the data information comprises related data of a target object, quality unqualified quantity and element content percentage;
element feature extraction module: the device comprises a data acquisition module, a data classification processing module and a data processing module, wherein the data acquisition module is used for receiving data of the data acquisition module, the data comprises a silicon element content unit, an impurity element content unit, a moisture element content unit and a pollutant element content unit, and the data in the element content unit is extracted after a large amount of fine powder generated in the sand making process of quartz sand is cleaned through ore washing treatment and is transmitted to the data classification processing module;
preferably, the specific processing mode of the element feature extraction module is as follows:
step one: the percentage of silicon element content is calculated according to the silicon element content, and the calculation formula is as follows:wherein sio is 2 Represents the percentage of silicon element, M sio2 The mass of the silicon element is represented, M represents the total mass of the quartz sand, and the higher the silicon element content in the target object is, the better the quality is;
step two: the impurity content percentage is calculated according to the impurity element content, and the calculation formula is as follows:wherein S represents the content percentage of impurity element, S 1 、S 2 、S 3 、···S n The mass of each impurity element is represented, M represents the total mass of quartz sand, and the lower the impurity element content in the target object is, the better the quality is;
step three: the water content percentage is calculated according to the water content, and the calculation formula is as follows:wherein X represents the percentage of moisture content, M 1 Represents the mass of quartz sand before drying, M 2 The quality of the quartz sand after being dried is represented, and the lower the moisture content of the target object is, the better the quality is;
step four: according to the pollutantsThe content of the pollutant is calculated as the content percentage, and the calculation formula is as follows:wherein W represents the percentage of contaminant content, W 1 Indicating the pollutant mass, M indicating the total mass of the quartz sand, the lower the pollutant content in the target object is, the better the quality is;
the data classification processing module: the device comprises an element characteristic extraction module, an automatic monitoring module, a quality index calculation module, a quality index judgment module and a quality index judgment module, wherein the element characteristic extraction module is used for receiving data of the element characteristic extraction module, calculating the quality index of each element of quartz sand, classifying the quartz sand according to the quality index and a preset quality index threshold value after comparing the quality index with the preset quality index threshold value, and transmitting the data to the automatic monitoring module;
preferably, the specific processing mode of the data classification processing module is as follows:
step 1: the mass index is calculated according to the content percentage of silicon element, the content percentage of impurity element, the content percentage of moisture and the content percentage of pollutant, and the calculation formula is as follows:wherein beta represents a mass index, k 1 、k 2 、k 3 、k 4 Representing the proportionality coefficient of each item, and according to the classification index beta and the preset classification index threshold beta of each element of the quartz sand Threshold value Judging and comparing, if beta is more than or equal to beta Threshold value Then the quartz sand quality is qualified, if beta<β Threshold value Then the quality of the quartz sand is unqualified, and a quality index threshold beta is preset according to the quality index Threshold value Comparing, dividing the target object into two major categories of qualified quality and unqualified quality;
step 2: performing secondary classification according to the silicon element content percentage, the impurity element content percentage, the water content percentage and the pollutant content percentage in the quality qualified class of the quartz sand in the step 1;
step 3: performing secondary classification according to the silicon element content percentage, the impurity element content percentage, the water content percentage and the pollutant content percentage in the quality failure class of the quartz sand in the step 1;
and an automatic monitoring module: the system comprises a data classification processing module, a quality evaluation module, a remote control module and a real-time monitoring module, wherein the data classification processing module is used for receiving data, monitoring real-time data of a target object, and transmitting the monitored data to the quality evaluation module and the remote control module in real time;
and (3) an evaluation quality module: the system comprises a remote control module, an automatic monitoring module, a quality control module and a quality control module, wherein the data is used for receiving the data of the automatic monitoring module, collecting a batch of target objects as sample data of the quality control module, evaluating the quality reject rate of the target objects by classifying the sample data, and transmitting the data to the remote control module;
and a remote control module: and the system is used for receiving the data of the quality evaluation module and the automatic monitoring module, and displaying and feeding back the monitored and evaluated data in real time.
Preferably, the automatic monitoring module specifically monitors the classification process of the target object in the running process of the system, records the classification data condition of the target object, and records the quantity of the quality unqualified classes of the target object.
Preferably, the specific processing mode of the quality evaluation module is as follows: by the formula:calculating quality failure rate, wherein T represents quality failure rate, < >>The quality reject rate of the sample data is represented by the quality reject quantity, N represents the total number of the sample quantity, and the higher the quality reject rate is, the worse the quality of the target object is.
Preferably, the specific processing method of the remote control module is as follows: for unqualified quartz sand, workers remove the unqualified quartz sand from the production line to avoid influencing the quality of the final product.
The invention has the technical effects and advantages that:
the invention is characterized by comprising a module 1: element feature extraction module: calculating a silicon element content unit, an impurity element content unit, a moisture element content unit and a pollutant element content unit and extracting data in the element content unit; module 2: the data classification processing module: the quality indexes of all elements of the quartz sand are calculated, and are compared with a preset quality index threshold value according to the quality indexes and then classified; the method is beneficial to effectively extracting the element content in the quartz sand, can reflect the quality condition of the quartz sand more comprehensively, effectively classifies the quartz sand, can timely and effectively treat the unqualified quartz sand, improves the utilization of the quartz sand, and also facilitates orderly extraction of the quartz sand in the subsequent production and processing process.
Drawings
FIG. 1 is a block diagram of an intelligent classification system for quartz sand production and processing based on a mixing algorithm.
Description of the embodiments
The following description will be made in detail, with reference to the drawings, of the present invention, wherein the configurations of the structures described in the following embodiments are merely examples, and the intelligent classification system for quartz sand production and processing based on the mixing algorithm according to the present invention is not limited to the configurations described in the following embodiments, but all other embodiments obtained by a person skilled in the art without making any creative effort are within the scope of the present invention.
The invention provides an intelligent classification system for quartz sand production and processing based on a mixing algorithm, which comprises a data acquisition module, a data storage module, an element characteristic extraction module, a data classification processing module, an automatic monitoring module, an evaluation quality module and a remote control module.
The data acquisition module is used for acquiring related data of the target object through acquisition equipment and transmitting the data to the element characteristic extraction module; the acquisition device includes, but is not limited to, X-ray fluorescence spectroscopy, electron probe micro-area analysis, optical sensors, infrared sensors, and cameras, the related data including, but not limited to, surface impurities, particle size, density, mass, color, and chemical composition, and the target object is quartz sand.
The data storage module is used for receiving the data of the data acquisition module, storing all data information of the system and realizing data sharing and extraction, wherein the data information comprises related data of a target object, quality disqualification quantity and element content percentage.
The element characteristic extraction module is used for receiving data of the data acquisition module, and comprises a silicon element content unit, an impurity element content unit, a moisture element content unit and a pollutant element content unit, and extracting the data in the element content unit after a great amount of fine powder generated in the sand making process of quartz sand is cleaned through ore washing treatment, and transmitting the data to the data classification processing module; the ore washing treatment includes but is not limited to rolling ore washer, high pressure water washing, mechanical washing;
in this embodiment, it should be specifically described that the specific processing manner of the silicon element content unit is:
the percentage of silicon element content is calculated according to the silicon element content, and the calculation formula is as follows:wherein sio is 2 Represents the percentage of silicon element, M sio2 The mass of the silicon element is represented, M represents the total mass of the quartz sand, the higher the content of the silicon element in the target object is, the better the quality is indicated, and when the percentage of the silicon element is more than or equal to 90%, the quality of the target object is indicated to be qualified;
in this embodiment, the impurity element content unit is specifically processed in the following manner
The impurity content percentage is calculated according to the impurity element content, and the calculation formula is as follows:wherein S represents the content percentage of impurity element, S 1 、S 2 、S 3 、···S n The mass of each impurity element is represented, M represents the total mass of quartz sand, the lower the impurity element content in the target object is, the better the quality is, and when the impurity element percentage is less than or equal to 5%, the quality of the target object is qualified;
in this embodiment, it should be specifically described that the specific processing manner of the moisture element content unit is: according to the moisture contentThe water content percentage is calculated, and the calculation formula is as follows:wherein X represents the percentage of moisture content, M 1 Represents the mass of quartz sand before drying, M 2 The quality of the quartz sand after being dried is shown, the lower the moisture content of the target object is, the better the quality is, and when the moisture content percentage is less than or equal to 2.5%, the quality of the target object is qualified;
in this embodiment, it should be specifically described that the specific treatment manner of the pollutant element content unit is: the pollutant content percentage is calculated according to the pollutant content, and the calculation formula is as follows:wherein W represents the percentage of contaminant content, W 1 The lower the content of pollutant elements in the target object is, the better the quality is, and the quality of the target object is qualified when the percentage of the pollutant elements is less than or equal to 2.5%.
The data classification processing module is used for receiving the data of the element characteristic extraction module, calculating the quality index of each element of the quartz sand, classifying the quartz sand according to the quality index and a preset quality index threshold value, and transmitting the data to the automatic monitoring module.
In this embodiment, it should be specifically described that the specific processing manner of the data classification processing module is:
step 1: the mass index is calculated according to the content percentage of silicon element, the content percentage of impurity element, the content percentage of moisture and the content percentage of pollutant, and the calculation formula is as follows:wherein beta represents a mass index, k 1 、k 2 、k 3 、k 4 Representing the proportionality coefficient of each item, and according to the classification index beta and the preset classification index threshold beta of each element of the quartz sand Threshold value Judging and comparing, if beta is more than or equal to beta Threshold value Then the quartz sand quality is qualified, if beta<β Threshold value Then the quality of the quartz sand is unqualified, and a quality index threshold beta is preset according to the quality index Threshold value Comparing, dividing the target object into two major categories of qualified quality and unqualified quality; the size of the proportionality coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the proportionality coefficient is only required to be about the size of the proportionality coefficient without influencing the proportionality relation between the parameter and the quantized numerical value; preset classifying index threshold beta of each element of quartz sand Threshold value Can be set specifically according to specific conditions, and the embodiment does not specifically limit specific data;
step 2: performing secondary classification according to the silicon element content percentage, the impurity element content percentage, the water content percentage and the pollutant content percentage in the quality qualified class of the quartz sand in the step 1: the quartz sand is classified into common quartz sand when the silicon element content is more than or equal to 90%, the impurity element content is less than or equal to 5%, the moisture content is less than or equal to 2.5% and the pollutant content is less than or equal to 2.5%, medium quartz sand when the silicon element content is more than or equal to 95%, the impurity element content is less than or equal to 2%, the moisture content is less than or equal to 1.5% and the pollutant content is less than or equal to 1.5%, and high-quality quartz sand when the silicon element content is more than or equal to 99%, the impurity element content is less than or equal to 1%, the moisture content is less than or equal to 0.03% and the pollutant content is less than or equal to 0.03%;
step 3: performing secondary classification according to the silicon element content percentage, the impurity element content percentage, the water content percentage and the pollutant content percentage in the quality failure class of the quartz sand in the step 1: serious disqualification is carried out when the silicon element content is less than or equal to 50%, the impurity element content is more than or equal to 20%, the moisture content is more than or equal to 15% and the pollutant content is more than or equal to 15%, medium disqualification is carried out when the silicon element content is less than or equal to 65%, the impurity element content is more than or equal to 15%, the moisture content is more than or equal to 10% and the pollutant content is more than or equal to 10%, and general disqualification is carried out when the silicon element content is less than or equal to 80%, the impurity element content is more than or equal to 10%, the moisture content is more than or equal to 5% and the pollutant content is more than or equal to 5%;
the automatic monitoring module is used for receiving the data of the data classification processing module, monitoring the real-time data of the classification of the target object, and transmitting the monitored data to the evaluation quality module and the remote control module in real time.
In this embodiment, it should be specifically stated that, the automatic monitoring module specifically refers to monitoring, in the running process of the system, a classification process of the target object, recording classification data conditions of the target object, and recording the number of quality disqualification classes of the target object.
The evaluation quality module is used for receiving the data of the automatic monitoring module, collecting a batch of target objects as sample data of the evaluation quality module, evaluating the quality failure rate of the target objects by evaluating the quality failure class after classifying the sample data, and transmitting the data to the remote control module.
In this embodiment, it should be specifically described that the specific processing manner of the quality evaluation module is:
by the formula:calculating quality failure rate, wherein T represents quality failure rate, < >>The quality reject rate of the sample data is represented by the quality reject quantity, N represents the total number of the sample quantity, and the higher the quality reject rate is, the worse the quality of the target object is.
The remote control module is used for receiving the data of the quality evaluation module and the automatic monitoring module, displaying and feeding back the monitored and evaluated data in real time, facilitating staff to directly check the classification result to process quality unqualified class, providing the functions of recording and storing the quality evaluation data, and adding new data to review the previous data at any time and compare the data.
In this embodiment, it should be specifically described that the specific processing method of the remote control module is: for unqualified quartz sand, workers can reject the unqualified quartz sand from a production line so as to avoid influencing the quality of a final product; the staff can carry out acid leaching treatment on the quartz sand with unqualified quality, and dissolve impurities in the quartz sand by using an acid solution, so that the aim of improving the purity is fulfilled, the quality of the quartz sand is improved, and the quartz sand meets the quality control and adjustment requirements; the acid leaching treatment is of the prior art and this example is not described, and the impurities include, but are not limited to, iron, aluminum, and calcium.
In this embodiment, it should be specifically described that, the difference between the present embodiment and the prior art is mainly that the present embodiment is provided with an element feature extraction module: calculating a silicon element content unit, an impurity element content unit, a moisture element content unit and a pollutant element content unit and extracting data in the element content unit; the data classification processing module: the quality indexes of all elements of the quartz sand are calculated, and are compared with a preset quality index threshold value according to the quality indexes and then classified; the method is beneficial to effectively extracting the element content in the quartz sand, can reflect the quality condition of the quartz sand more comprehensively, effectively classifies the quartz sand, can timely and effectively treat the unqualified quartz sand, improves the utilization of the quartz sand, and also facilitates orderly extraction of the quartz sand in the subsequent production and processing process.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (4)
1. An intelligent classification system for quartz sand production and processing based on a mixing algorithm is characterized in that: comprising the following steps:
and a data acquisition module: the device comprises an element feature extraction module, a data acquisition module and a data processing module, wherein the element feature extraction module is used for acquiring related data of a target object through acquisition equipment and transmitting the data to the element feature extraction module; the acquisition equipment comprises an X-ray fluorescence spectrum, an electronic probe micro-area analysis, an optical sensor, an infrared sensor and a camera, wherein the related data comprise impurities on the surface, particle size, density, quality, color and chemical components, and the target object is quartz sand;
and a data storage module: the data processing system is used for receiving data of the data acquisition module, storing all data information of the system and realizing data sharing and extraction, wherein the data information comprises related data of a target object, quality unqualified quantity and element content percentage;
element feature extraction module: the device comprises a data acquisition module, a data classification processing module and a data processing module, wherein the data acquisition module is used for receiving data of the data acquisition module, the data comprises a silicon element content unit, an impurity element content unit, a moisture element content unit and a pollutant element content unit, and the data in the element content unit is extracted after a large amount of fine powder generated in the sand making process of quartz sand is cleaned through ore washing treatment and is transmitted to the data classification processing module;
the element characteristic extraction module specifically processes the following steps:
step one: the percentage of silicon element content is calculated according to the silicon element content, and the calculation formula is as follows:wherein sio is 2 Represents the percentage of silicon element>The mass of the silicon element is represented, M represents the total mass of the quartz sand, and the higher the silicon element content in the target object is, the better the quality is;
step two: the impurity content percentage is calculated according to the impurity element content, and the calculation formula is as follows:wherein S represents the content percentage of impurity element, S 1 、S 2 、S 3 、···S n The mass of each impurity element is represented, M represents the total mass of quartz sand, and the lower the impurity element content in the target object is, the better the quality is;
step three: the water content percentage is calculated according to the water content, and the calculation formula is as follows:wherein X represents the percentage of moisture content, M 1 Represents the mass of quartz sand before drying, M 2 The quality of the quartz sand after being dried is represented, and the lower the moisture content of the target object is, the better the quality is;
step four: the pollutant content percentage is calculated according to the pollutant content, and the calculation formula is as follows:wherein W represents the percentage of contaminant content, W 1 Indicating the pollutant mass, M indicating the total mass of the quartz sand, the lower the pollutant content in the target object is, the better the quality is;
the data classification processing module: the device comprises an element characteristic extraction module, an automatic monitoring module, a quality index calculation module, a quality index judgment module and a quality index judgment module, wherein the element characteristic extraction module is used for receiving data of the element characteristic extraction module, calculating the quality index of each element of quartz sand, classifying the quartz sand according to the quality index and a preset quality index threshold value after comparing the quality index with the preset quality index threshold value, and transmitting the data to the automatic monitoring module;
preferably, the specific processing mode of the data classification processing module is as follows:
step 1: the mass index is calculated according to the content percentage of silicon element, the content percentage of impurity element, the content percentage of moisture and the content percentage of pollutant, and the calculation formula is as follows:wherein beta represents a mass index, k 1 、k 2 、k 3 、k 4 Representing the proportionality coefficient of each item, and according to the classification index beta and the preset classification index threshold beta of each element of the quartz sand Threshold value Judging and comparing, if beta is more than or equal to beta Threshold value Then the quartz sand quality is qualified, if beta<β Threshold value Then the quality of the quartz sand is unqualified, and a quality index threshold beta is preset according to the quality index Threshold value Comparing, dividing the target object into two major categories of qualified quality and unqualified quality;
step 2: performing secondary classification according to the silicon element content percentage, the impurity element content percentage, the water content percentage and the pollutant content percentage in the quality qualified class of the quartz sand in the step 1;
step 3: performing secondary classification according to the silicon element content percentage, the impurity element content percentage, the water content percentage and the pollutant content percentage in the quality failure class of the quartz sand in the step 1;
and an automatic monitoring module: the system comprises a data classification processing module, a quality evaluation module, a remote control module and a real-time monitoring module, wherein the data classification processing module is used for receiving data, monitoring real-time data of a target object, and transmitting the monitored data to the quality evaluation module and the remote control module in real time;
and (3) an evaluation quality module: the system comprises a remote control module, an automatic monitoring module, a quality control module and a quality control module, wherein the data is used for receiving the data of the automatic monitoring module, collecting a batch of target objects as sample data of the quality control module, evaluating the quality reject rate of the target objects by classifying the sample data, and transmitting the data to the remote control module;
and a remote control module: and the system is used for receiving the data of the quality evaluation module and the automatic monitoring module, and displaying and feeding back the monitored and evaluated data in real time.
2. The intelligent classification system for quartz sand production and processing based on the mixing algorithm as claimed in claim 1, wherein the intelligent classification system is characterized in that: the automatic monitoring module is used for monitoring the classification process of the target object in the running process of the system, recording the classification data condition of the target object and recording the quantity of the quality unqualified classes of the target object.
3. The intelligent classification system for quartz sand production and processing based on the mixing algorithm as claimed in claim 1, wherein the intelligent classification system is characterized in that: the specific processing mode of the quality evaluation module is as follows: by the formula:calculating quality failure rate, wherein T represents quality failure rate, < >>Representing sample data qualityThe number of failed quantity, N, represents the total number of samples, and the higher the quality failure rate is, the worse the quality of the target object is.
4. The intelligent classification system for quartz sand production and processing based on the mixing algorithm as claimed in claim 1, wherein the intelligent classification system is characterized in that: the specific processing method of the remote control module comprises the following steps: for unqualified quartz sand, workers remove the unqualified quartz sand from the production line to avoid influencing the quality of the final product.
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