Mineral raw material granularity regulation and control method and device, storage medium and computer equipment

Abstract

According to the mineral raw material granularity regulation and control method and device, the storage medium and the computer equipment provided by the invention, when the raw materials are processed, the initial raw materials are classified into the multiple levels of mineral raw materials by adopting the multi-level screening equipment and then are transmitted to the corresponding ore grinding equipment for processing, and the real-time granularity data of the mineral raw materials of all the levels during processing are collected; the method comprises the following steps: performing real-time granularity data processing on a raw material to feed back a processing state of the raw material, performing granularity analysis on the real-time granularity data according to standard granularity data, when an analysis result does not reach the standard, determining an optimal production parameter of equipment which does not reach the standard based on the analysis result, and optimizing the parameter of the equipment into the optimal production parameter. The stability and efficiency of the machining process are improved through automatic granularity fine regulation and control, and meanwhile analysis and equipment parameter optimization are continuously conducted on real-time granularity data after parameter optimization. Therefore, by means of the method, a complete closed loop can be formed in the particle size regulation and control process of the mineral raw materials, and fine particle size control of the whole process is achieved.

Description

Technical Field

[0001] The present application relates to the field of mineral processing technology, and in particular to a method, device, storage medium, and computer equipment for controlling the particle size of mineral raw materials. Background Art

[0002] Mineral raw materials are key raw materials for many industries such as metallurgy, construction, chemicals, glass, ceramics, etc. In the production process of mineral raw materials, particle size control is a crucial link, because the particle size of the mineral directly affects the efficiency of the subsequent processing flow and the quality of the final product. At present, the particle size control of mineral raw materials mainly relies on mechanical processing technology, including crushing, grinding and screening steps, to meet the basic needs of production.

[0003] However, traditional particle size control methods are usually based on fixed production parameters. If different types of mineral raw materials have different particle size requirements, it is necessary to manually adjust the equipment parameters based on experience. In the particle size adjustment process involving multiple links, this method is difficult to achieve high-precision and stable particle size control, resulting in uneven particle size distribution and poor processing effect, which in turn causes waste of raw materials. Summary of the invention

[0004] The purpose of the present application is to solve at least one of the above-mentioned technical defects, especially the technical defect that it is difficult to achieve high-precision and stable particle size control in the prior art, resulting in uneven particle size distribution, poor processing effect, and further waste of raw materials.

[0005] The present application provides a method for controlling the particle size of a mineral raw material, the method comprising:

[0006] Use multi-stage screening equipment to perform airflow classification on the initial raw materials to be processed to obtain multiple levels of mineral raw materials;

[0007] Transfer each level of mineral raw materials to the corresponding grinding equipment for processing, and continuously collect real-time particle size data of the mineral raw materials before and after processing in each grinding equipment;

[0008] Performing particle size analysis on the real-time particle size data according to preset standard particle size data to obtain analysis results, and when the analysis results do not meet the standards, determining optimal production parameters of the multi-stage screening equipment and / or grinding equipment based on the analysis results;

[0009] The parameters of the multi-stage screening equipment and / or grinding equipment are optimized according to the optimal production parameters, and the real-time particle size data is returned based on the preset standard particle size data for particle size analysis and subsequent steps.

[0010] Optionally, the multi-stage screening equipment is used to perform airflow classification on the initial raw materials to be processed to obtain multiple levels of mineral raw materials, including:

[0011] Determining the processing requirements of the initial raw materials to be processed, and setting airflow parameters corresponding to multiple levels according to the processing requirements;

[0012] A feedback signal is generated based on each airflow parameter, and the feedback signal is sent to a multi-stage screening device, so that the multi-stage screening device drives the airflow according to the airflow parameters to classify the initial raw materials into particle sizes, thereby forming multiple levels of mineral raw materials.

[0013] Optionally, the continuous collection of real-time particle size data of the mineral raw materials before and after processing in each grinding equipment includes:

[0014] The particle size distribution of each level of the mineral raw materials is continuously monitored by a particle size sensor arranged at the outlet of the multi-stage screening device as particle size data before processing;

[0015] The particle size sensors installed at the outlet of each grinding equipment continuously monitor the particle size distribution of each grade of mineral raw materials as the particle size data after processing;

[0016] The particle size data before processing and the particle size data after processing are collected at a preset frequency, and the real-time particle size data of the initial raw material is obtained by summarizing.

[0017] Optionally, performing a particle size analysis on the real-time particle size data according to preset standard particle size data to obtain an analysis result includes:

[0018] Determine the standard classification particle size of the multi-stage screening equipment and the standard particle size distribution of each grinding equipment according to the preset standard particle size data, and determine the actual classification particle size of the multi-stage screening equipment and the actual particle size distribution of each grinding equipment according to the real-time particle size data;

[0019] Calculating a first difference between the standard classification particle size and the actual classification particle size, and calculating a second difference between the standard classification particle size corresponding to each grinding device and the actual particle size distribution;

[0020] generating an analysis result based on the first difference and the second difference, and determining whether the first difference is less than a first preset threshold and the second difference is less than a second preset threshold;

[0021] If yes, confirm that the analysis result is up to standard;

[0022] If not, the analysis result is confirmed to be unsatisfactory.

[0023] Optionally, determining the optimal production parameters of the multi-stage screening equipment and / or grinding equipment based on the analysis results includes:

[0024] Determine, according to the analysis results, the substandard multi-stage screening equipment and / or grinding equipment as equipment to be optimized, and determine intelligent adjustment rules corresponding to the equipment to be optimized;

[0025] Extracting difference data corresponding to the device to be optimized from the analysis results, and obtaining initial production parameters of the device to be optimized;

[0026] The intelligent adjustment rules are used to perform parameter calculation on the difference data and the initial production parameters to obtain optimal production parameters.

[0027] Optionally, the optimizing the parameters of the multi-stage screening equipment and / or grinding equipment according to the optimal production parameters includes:

[0028] When the equipment to be optimized is a multi-stage screening equipment, a feedback signal is generated according to the optimal production parameters, and the feedback signal is sent to the multi-stage screening equipment, so that the multi-stage screening equipment performs parameter self-adjustment according to the feedback signal.

[0029] Optionally, the step of optimizing the parameters of the multi-stage screening equipment and / or grinding equipment according to the optimal production parameters further includes:

[0030] When the equipment to be optimized is a grinding equipment, the initial production parameters of the grinding equipment are automatically adjusted to the optimal production parameters in the management and control background of the grinding equipment.

[0031] The present application also provides a device for controlling the particle size of a mineral raw material, comprising:

[0032] A raw material classification module is used to perform airflow classification on the initial raw materials to be processed using a multi-stage screening device to obtain multiple levels of mineral raw materials;

[0033] The particle size collection module is used to transfer each level of mineral raw materials to the corresponding grinding equipment for processing, and continuously collect the real-time particle size data of the mineral raw materials before and after processing in each grinding equipment;

[0034] A particle size analysis module, used to perform particle size analysis on the real-time particle size data according to preset standard particle size data to obtain analysis results, and when the analysis results do not meet the standards, determine the optimal production parameters of the multi-stage screening equipment and / or grinding equipment based on the analysis results;

[0035] The parameter optimization module is used to optimize the parameters of the multi-stage screening equipment and / or grinding equipment according to the optimal production parameters, and return to perform particle size analysis on the real-time particle size data based on preset standard particle size data and subsequent steps.

[0036] The present application also provides a storage medium, characterized in that: the storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the mineral raw material particle size control method as described in any of the above embodiments.

[0037] The present application also provides a computer device, characterized in that it includes: one or more processors, and a memory;

[0038] The memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, the steps of the method for controlling the particle size of mineral raw materials as described in any one of the above embodiments are performed.

[0039] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0040] The mineral raw material particle size control method, device, storage medium, and computer equipment provided in the present application can, when it is necessary to process the raw materials, use a multi-stage screening device to perform airflow classification on the initial raw materials to be processed to obtain multiple levels of mineral raw materials, ensuring that the raw materials within the particle size range of different levels can accurately and effectively enter the processing link of the corresponding intensity, so that the raw material particle size distribution is more uniform; after screening to obtain multiple levels of mineral raw materials, the mineral raw materials of each level can be transmitted to the corresponding grinding equipment for processing, and the real-time particle size data of the mineral raw materials before and after processing in each grinding equipment is continuously collected, so that the processing status of the raw materials can be fed back in real time through the real-time particle size data, so as to make timely adjustments when the particle size fluctuates and improve the processing effect; during the raw material processing process, the real-time particle size data can be analyzed according to the preset standard particle size data to obtain the analysis results, and when the analysis results do not meet the standards, the optimal production parameters of the multi-stage screening equipment and / or the grinding equipment are determined based on the analysis results, and the parameters of the multi-stage screening equipment and / or the grinding equipment are optimized according to the optimal production parameters, and the stability and efficiency of the processing process can be improved through automatic fine particle size control. After optimizing the parameters of the equipment, the present application can continue to monitor and analyze the optimized real-time particle size data. Therefore, through this method, the particle size control process of the mineral raw materials can form a complete closed loop, realize fine particle size control of the whole process, avoid particle size fluctuations, and always meet the production process requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0042] Figure 1 A schematic diagram of a process for controlling the particle size of a mineral raw material provided in an embodiment of the present application;

[0043] Figure 2 A flowchart of a real-time granularity data collection process provided in an embodiment of the present application;

[0044] Figure 3 A schematic diagram of a process flow for calculating an optimal production parameter provided in an embodiment of the present application;

[0045] Figure 4 A schematic diagram of the structure of a mineral raw material particle size control device provided in an embodiment of the present application;

[0046] Figure 5 A schematic diagram of the internal structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] Traditional particle size control methods are usually based on fixed production parameters. If different types of mineral raw materials have different particle size requirements, it is necessary to manually adjust the equipment parameters based on experience. In the particle size adjustment process involving multiple links, this method is difficult to achieve high-precision and stable particle size control, resulting in uneven particle size distribution and poor processing effects, which in turn causes waste of raw materials.

[0049] Based on this, this application proposes the following technical solutions, see below for details:

[0050] In one embodiment, Figure 1 As shown, Figure 1 A schematic diagram of a process for controlling the particle size of a mineral raw material provided in an embodiment of the present application; the present application provides a method for controlling the particle size of a mineral raw material, which specifically includes the following:

[0051] S110: Use multi-stage screening equipment to perform airflow classification on the initial raw materials to be processed to obtain mineral raw materials of multiple levels.

[0052] In this step, when process product production is required, the computer equipment can obtain the initial raw materials to be processed, and then use multi-stage screening equipment to perform air flow classification on the initial raw materials to be processed to obtain multiple levels of mineral raw materials, ensuring that raw materials within different levels of particle size ranges can accurately and effectively enter the processing links of corresponding strengths, making the raw material particle size distribution more uniform and improving processing efficiency.

[0053] Among them, the initial raw material refers to the raw material obtained by mixing particles of different particle sizes without treatment, which is usually obtained from mines, factories or raw material suppliers. Therefore, this application can use multi-stage screening equipment to perform particle size classification on the initial raw material. The multi-stage powder screening equipment here refers to the equipment used to classify the initial raw material, which is usually screened according to the particle size or density of the material. It can be a cyclone, spiral classifier, airflow classifier and other equipment, which is not limited here.

[0054] It is understandable that after obtaining the initial raw materials, the computer equipment can start the multi-stage screening equipment to perform airflow classification on the initial raw materials, and classify the raw materials into multiple levels according to the particle size by controlling the airflow intensity and the classification path. In this process, the multi-stage screening equipment can also remove the raw material particles that do not meet the processing requirements, and then classify the raw material particles that meet the processing requirements according to a clear particle size range, thereby ensuring that the raw materials of different particle size ranges are accurately transported to the corresponding processing equipment and processing links, so that the raw material particle size distribution is more uniform.

[0055] For example, mineral raw materials with a larger particle size range can be sent to crushing or rough processing equipment, while mineral raw materials with a smaller particle size range can be directly sent to high-precision grinding or sintering processes. This can optimize the efficiency of the processing links corresponding to each level, effectively reduce raw material waste, and improve the quality of the final product.

[0056] Furthermore, the initial raw materials for particle size classification by multi-stage screening equipment can also be composed of particles of various components, including limestone, feldspar, bauxite, silica sand, etc. The particles of different components have different physical properties, and the processing steps are also different. Therefore, for the initial raw materials containing multiple components, the present application can also set the parameters of the multi-stage screening equipment based on the physical properties of each component, and then classify the particles of different components, thereby improving the applicability of the multi-stage screening equipment.

[0057] S120: The mineral raw materials of each level are transmitted to the corresponding grinding equipment for processing, and the real-time particle size data of the mineral raw materials before and after processing in each grinding equipment is continuously collected.

[0058] In this step, after obtaining multiple levels of mineral raw materials through classification in step S110, the computer equipment can transmit each level of mineral raw materials to the corresponding grinding equipment for processing, and can also continuously collect real-time particle size data of the mineral raw materials before and after processing in each grinding equipment, so that the processing status of the raw materials can be fed back in real time through the real-time particle size data, so as to make timely adjustments when the particle size fluctuates and improve the processing effect.

[0059] Among them, grinding equipment refers to mechanical equipment used to further crush and grind mineral raw materials to the required particle size, such as ball mills, rod mills, vertical mills, impact mills, etc. The grinding equipment here can be selected according to the physical properties of the mineral raw materials, particle size requirements and specific needs of the production process. It is mainly used to reduce the raw material particle size and improve the particle size uniformity to meet the subsequent process or product quality requirements.

[0060] Specifically, when the initial raw materials are divided into multiple levels through air flow classification, the computer equipment can accurately transmit the screened mineral raw materials to the corresponding grinding equipment for processing according to the particle size range of each level. This process uses an efficient automated transmission system. Through conveyor belts, pipelines or other conveying devices, the computer equipment can continuously and efficiently deliver each level of mineral raw materials to the designated grinding equipment, thereby ensuring that each level of mineral raw materials can enter the processing link suitable for its characteristics.

[0061] During the grinding stage, the computer equipment can also monitor the entire processing process in real time. Through the high-precision particle size detection sensors installed at the entrance or exit of each device, the computer equipment can continuously collect the particle size data of the mineral raw materials before and after processing, summarize them to form real-time particle size data, and the real-time particle size data can be transmitted to the central control system through a high-speed network and displayed in the form of a dynamic, real-time particle size monitoring map.

[0062] It is understandable that by monitoring and analyzing the real-time particle size data, the computer equipment can judge the processing status of the mineral raw materials in real time. For example, when it is found that the processed particle size does not meet the target requirements, or the particle size distribution fluctuates abnormally, the computer equipment can automatically issue adjustment instructions to adjust the operating parameters of the grinding equipment, thereby effectively improving the processing efficiency and raw material utilization.

[0063] S130: Performing particle size analysis on the real-time particle size data according to preset standard particle size data to obtain analysis results, and when the analysis results do not meet the standards, determining optimal production parameters of the multi-stage screening equipment and / or grinding equipment based on the analysis results.

[0064] In this step, after obtaining the real-time particle size data of the mineral raw material through step S120, the computer equipment can perform particle size analysis on the real-time particle size data according to the preset standard particle size data to obtain the analysis results. When the analysis results do not meet the standards, the computer equipment can determine the optimal production parameters of the multi-stage screening equipment and / or grinding equipment based on the analysis results, and then optimize the equipment parameters according to the optimal production parameters, thereby realizing automated fine control of particle size and improving the stability and efficiency of the processing process.

[0065] Among them, standard particle size data refers to the pre-set benchmark data for measuring and controlling the particle size of mineral raw materials. It is formulated according to specific production processes, product quality requirements, equipment capabilities and industry specifications. It is used to guide and optimize the processing process to ensure that the processing effect reaches the expected particle size standard. Therefore, for mineral raw materials of different levels and compositions, the benchmark data corresponding to different equipment are different.

[0066] It can be understood that, for multi-stage screening equipment, the computer equipment can analyze the particle size data before processing in the real-time particle size data, that is, the particle size data of each level of mineral raw materials after the multi-stage screening equipment performs particle size grading, so as to understand the grading accuracy of the multi-stage screening equipment and determine whether it meets the expected particle size standard of the multi-stage screening equipment; for grinding equipment, the computer equipment can compare and analyze the particle size data before processing in the real-time particle size data with the particle size data after processing, so as to understand the grinding effect of the grinding equipment and determine whether it meets the expected particle size standard of the multi-stage screening equipment.

[0067] Specifically, during the analysis process, if the real-time particle size data matches the standard particle size data, it means that the processing process is stable, the analysis results meet the standards, and the equipment parameters do not need to be adjusted. If the analysis results show that the particle size distribution deviates significantly from the standard particle size data, for example, the particle size is too large, too small, or unevenly distributed, it means that the processing effect is not good and the analysis results do not meet the standards. At this time, the computer equipment can quickly calculate the optimal production parameters of the substandard equipment based on the analysis results and combined with the standard particle size data, and then dynamically optimize it. This automated optimization process can not only quickly respond to fluctuations in particle size in the equipment, but also continuously improve equipment efficiency during the processing process, ensuring that the processing results are always close to the standard particle size data, thereby reducing the waste of raw materials.

[0068] S140: Optimize the parameters of the multi-stage screening equipment and / or the grinding equipment according to the optimal production parameters, and return to perform particle size analysis on the real-time particle size data based on the preset standard particle size data and subsequent steps.

[0069] In this step, after the optimal production parameters of the equipment that does not meet the standards are calculated in step S130, the computer device can optimize the parameters of the corresponding multi-stage screening equipment and / or grinding equipment according to the optimal production parameters. After the equipment parameters are optimized, the computer device can also continue to monitor and analyze the real-time particle size data generated after the optimization, so as to continue to optimize the equipment parameters when the optimization effect is not good or the particle size fluctuates.

[0070] Specifically, after the equipment parameter optimization is completed, the computer equipment does not end the particle size control of the mineral raw materials. The computer equipment will continue to monitor and analyze the real-time particle size data generated after the collection optimization to evaluate the actual effect of the optimization. If the analysis result is up to standard, it means that the processing effect reaches the range of the standard particle size data and remains stable. At this time, the computer equipment can set the current equipment parameters as the new parameter benchmark and continue to monitor the particle size; however, if the analysis result is not up to standard, it means that the optimization effect is not good, for example, the particle size is still not fully up to standard or new fluctuations occur. At this time, the computer equipment can start the optimization process again until the processing of the mineral raw materials is completed.

[0071] It can be understood that through this method, the computer equipment can form a complete closed loop for the particle size control process of mineral raw materials. Through real-time monitoring, dynamic analysis and multiple iterative adjustments of parameter optimization, each device can continuously approach the optimal operating state and minimize the impact of particle size fluctuations, thereby ensuring that the particle size of the mineral raw materials always meets the production process requirements.

[0072] In the above embodiment, when it is necessary to process the raw materials, a multi-stage screening device can be used to perform airflow classification on the initial raw materials to be processed to obtain multiple levels of mineral raw materials, ensuring that the raw materials within the particle size range of different levels can accurately and effectively enter the processing link of the corresponding intensity, so that the raw material particle size distribution is more uniform; after screening to obtain multiple levels of mineral raw materials, the mineral raw materials of each level can be transmitted to the corresponding grinding equipment for processing, and the real-time particle size data of the mineral raw materials before and after processing in each grinding equipment is continuously collected, so that the processing status of the raw materials can be fed back in real time through the real-time particle size data, so as to make timely adjustments when the particle size fluctuates and improve the processing effect; during the raw material processing process, the real-time particle size data can be analyzed according to the preset standard particle size data to obtain the analysis results, and when the analysis results do not meet the standards, the optimal production parameters of the multi-stage screening equipment and / or the grinding equipment are determined based on the analysis results, and the parameters of the multi-stage screening equipment and / or the grinding equipment are optimized according to the optimal production parameters, and the stability and efficiency of the processing process can be improved through the automatic fine control of the particle size. After optimizing the parameters of the equipment, the present application can continue to monitor and analyze the optimized real-time particle size data. Therefore, through this method, the particle size control process of the mineral raw materials can form a complete closed loop, realize fine particle size control of the whole process, avoid particle size fluctuations, and always meet the production process requirements.

[0073] In one embodiment, the process of using a multi-stage screening device to perform airflow classification on the initial raw material to be processed in step S110 to obtain multiple levels of mineral raw materials may include:

[0074] S111: Determine the processing requirements of the initial raw materials to be processed, and set airflow parameters corresponding to multiple levels according to the processing requirements.

[0075] S112: Generate a feedback signal based on each airflow parameter, and send the feedback signal to the multi-stage screening device, so that the multi-stage screening device drives the airflow according to the airflow parameters to classify the initial raw materials into particle sizes, thereby forming multiple levels of mineral raw materials.

[0076] In this embodiment, before processing the initial raw materials, the computer device can determine the processing requirements of the initial raw materials to be processed, and set airflow parameters corresponding to multiple levels according to the processing requirements. Then, a feedback signal can be generated based on each airflow parameter, and the feedback signal can be sent to the multi-stage screening equipment, so that the multi-stage screening equipment drives the airflow according to the airflow parameters to classify the initial raw materials into particle sizes, thereby forming multiple levels of mineral raw materials, thereby realizing automatic grading of mineral raw materials.

[0077] Among them, the multi-stage screening equipment of the present application can select an air flow classifier, which can perform classification according to the air flow rate and the settling velocity of the mineral particles, thereby efficiently separating the mineral raw materials that do not meet the standards and the particle size ranges of various levels.

[0078] Specifically, the computer device can first determine the processing requirements of the initial raw materials based on comprehensive factors such as the physical properties of the initial raw materials, the target range of particle size distribution, and the production process requirements, and then accurately identify the multiple levels required for the processing of the initial raw materials, such as fine particles, medium particles, and coarse particles, and then automatically calculate the optimal airflow parameters corresponding to each level, airflow velocity, airflow pressure, flow path, and airflow intensity distribution, etc., in order to ensure that raw materials of different particle size ranges can be separated efficiently and accurately. After completing the calculation of the airflow parameters, the computer device can generate a corresponding feedback signal and send it to the multi-stage screening device through a high-speed communication interface. The feedback signal here not only contains the specific value of the airflow parameter, but also carries a control instruction for commanding the multi-stage screening device to control the multi-stage screening device to drive the airflow according to the set airflow parameters to form an accurate classification environment, so that the initial raw materials are efficiently separated according to the particle size in the screening cavity.

[0079] For example, in a multi-stage screening device, larger raw material particles will enter the lower intensity airflow classification area, while smaller raw materials will enter the high intensity airflow classification area, thereby ensuring that the mineral raw materials can accurately enter the corresponding level outlet.

[0080] In one embodiment, Figure 2 As shown, Figure 2 A flowchart of a real-time granularity data collection process provided in an embodiment of the present application; Figure 2 In step S120, the process of continuously collecting the real-time particle size data of the mineral raw materials before and after processing in each grinding equipment may include:

[0081] S121: The particle size distribution of each level of mineral raw materials is continuously monitored by a particle size sensor installed at the outlet of the multi-stage screening equipment as the particle size data before processing.

[0082] S122: The particle size distribution of each grade of mineral raw materials is continuously monitored by particle size sensors installed at the outlet of each grinding equipment as the particle size data after processing.

[0083] S123: collecting the particle size data before processing and the particle size data after processing at a preset frequency, and summarizing to obtain the real-time particle size data of the initial raw material.

[0084] In this embodiment, when the computer equipment monitors the real-time particle size data generated during the processing of the mineral raw materials, it can continuously monitor the particle size distribution of each level of the mineral raw materials through the particle size sensors set at the outlet of the multi-stage screening equipment as the particle size data before processing. It can also continuously monitor the particle size distribution of each level of the mineral raw materials through the particle size sensors set at the outlet of each grinding equipment as the particle size data after processing. Finally, the computer equipment can collect the particle size data before processing and the particle size data after processing at a preset frequency, and summarize them to obtain the real-time particle size data of the initial raw material.

[0085] It is understandable that the processing production line of mineral raw materials can be composed of multi-stage screening equipment, grinding equipment and glass melting furnace. The mineral raw materials are first screened for particle size through multi-stage screening equipment, then refined through grinding equipment, and finally sent to the glass melting furnace for glass production, thereby realizing a complete production line. Based on this, the present application can install high-precision particle size sensors at various key links of the production line, such as important nodes such as the outlet of the multi-stage screening equipment and the outlet of each grinding equipment. The particle size sensors here can include laser particle size analyzers, image recognition sensors, ultrasonic particle size sensors, etc., which are used to continuously collect the particle size data of the current mineral raw materials and feed them back to the central control system in real time.

[0086] Specifically, when the particle size sensor monitors the particle size of the mineral raw material, it can not only monitor the uniformity and distribution of its particle size, but also monitor the change trend of its particle size to reflect the state change of the mineral raw material during the processing. In addition, when the computer equipment collects real-time particle size data through the particle size sensor, it can collect data according to a preset frequency, where the preset frequency can be 3 seconds, 5 seconds, or 10 seconds, and there is no limitation here.

[0087] In one embodiment, the process of performing particle size analysis on the real-time particle size data according to the preset standard particle size data to obtain the analysis result in step S130 may include:

[0088] S131: Determine the standard classification particle size of the multi-stage screening equipment and the standard particle size distribution of each grinding equipment according to the preset standard particle size data, and determine the actual classification particle size of the multi-stage screening equipment and the actual particle size distribution of each grinding equipment according to the real-time particle size data.

[0089] S132: Calculate a first difference between the standard classification particle size and the actual classification particle size, and calculate a second difference between the standard classification particle size corresponding to each grinding device and the actual particle size distribution.

[0090] S133: Generate an analysis result based on the first difference and the second difference, and determine whether the first difference is less than a first preset threshold and the second difference is less than a second preset threshold.

[0091] S134: If yes, confirm that the analysis result is up to standard.

[0092] S135: If not, confirm that the analysis result is not up to standard.

[0093] In this embodiment, when the computer device performs particle size analysis on the real-time particle size data, it can first determine the standard classification particle size of the multi-stage screening equipment and the standard particle size distribution of each grinding equipment according to the preset standard particle size data, and determine the actual classification particle size of the multi-stage screening equipment and the actual particle size distribution of each grinding equipment according to the real-time particle size data, and then calculate the first difference between the standard classification particle size and the actual classification particle size, and calculate the second difference between the standard classification particle size corresponding to each grinding equipment and the actual particle size distribution. Therefore, the computer device can generate an analysis result based on the first difference and the second difference, and determine whether the first difference is less than the first preset threshold and the second difference is less than the second preset threshold; if so, the computer device can confirm that the analysis result is up to standard; if not, it means that the computer device can confirm that the analysis result is not up to standard.

[0094] It is understandable that the multi-stage screening equipment belongs to the screening type equipment, while the grinding equipment belongs to the grinding type equipment, and the processing principles of the two are different. Therefore, the present application can set a set of benchmark data for these two types of equipment based on the processing principle as their corresponding processing standards, namely, the standard classification particle size of the multi-stage screening equipment and the standard particle size distribution of the grinding equipment. Then the computer equipment calculates the difference between the actual classification particle size actually output by the multi-stage screening equipment during the production and processing and the standard classification particle size to obtain a first difference, and calculates the difference between the actual particle size distribution actually output by each grinding equipment and the standard particle size distribution to obtain a second difference, and then it can be seen from the two differences whether the processing results of the mineral raw materials meet the standards.

[0095] Specifically, when the first difference is less than the first preset threshold and the second difference is less than the second preset threshold, it means that the processing effects of the multi-stage screening equipment and each grinding equipment in the production and processing process are matched with the processing standard, so the processing result meets the standard; when the first difference is less than the first preset threshold but there is a second difference that is not less than the second preset threshold, it means that the processing effect of the multi-stage screening equipment in the production and processing process is matched with the processing standard, but there is a large gap between the processing effect of the grinding equipment and the processing standard, so the processing result does not meet the standard; when the second difference is less than the second preset threshold but the first difference is not less than the first preset threshold, it means that the processing effect of the grinding equipment in the production and processing process is matched with the processing standard, but there is a large gap between the processing effect of the multi-stage screening equipment and the processing standard, so the processing result does not meet the standard; or, the first difference is not less than the first preset threshold and there is a second difference that is not less than the second preset threshold, it means that the processing effects of the multi-stage screening equipment and the grinding equipment in the production and processing process do not match the processing standard, which is also one of the reasons why the processing result does not meet the standard.

[0096] In one embodiment, Figure 3 As shown, Figure 3 A schematic diagram of a process flow for calculating an optimal production parameter provided in an embodiment of the present application; Figure 3 In step S130, the process of determining the optimal production parameters of the multi-stage screening equipment and / or the grinding equipment based on the analysis results may include:

[0097] S136: Determine, based on the analysis results, the substandard multi-stage screening equipment and / or grinding equipment as equipment to be optimized, and determine intelligent adjustment rules corresponding to the equipment to be optimized.

[0098] S137: Extracting difference data corresponding to the equipment to be optimized from the analysis results, and obtaining initial production parameters of the equipment to be optimized.

[0099] S138: Using intelligent adjustment rules to calculate the difference data and the initial production parameters to obtain the optimal production parameters.

[0100] In this embodiment, when the computer device is optimizing the equipment parameters, it can first determine the substandard multi-stage screening equipment and / or grinding equipment as the equipment to be optimized based on the analysis results, and determine the intelligent adjustment rules corresponding to the equipment to be optimized, and then extract the difference data corresponding to the equipment to be optimized from the analysis results, and obtain the initial production parameters of the equipment to be optimized. Then, the computer device can use the intelligent adjustment rules to perform parameter calculations on the difference data and the initial production parameters to obtain the optimal production parameters.

[0101] Specifically, after determining the equipment to be optimized, the computer device can automatically generate the intelligent adjustment rules for the equipment to be optimized. For example, if the actual particle size distribution of the equipment to be optimized is too large, the intelligent adjustment rules generated by the computer device will increase the rotation speed or adjust the feed amount; if the actual particle size distribution of the equipment to be optimized is too small, the intelligent adjustment rules generated by the computer device will reduce the parameters and reduce the grinding load.

[0102] Based on this, the computer equipment can combine the analysis of the characteristics of the current particle size distribution and the characteristics of the mineral raw materials and production conditions, such as different types of minerals, different humidity and other conditions, and then under the intelligent adjustment rules, the computer equipment can use a data-driven algorithm to calculate the difference between the actual output particle size data and the standard particle size data in the analysis results and the initial production parameters, and output the optimal production parameters based on the calculation results. The data-driven algorithms used here can include machine learning, regression analysis, neural network and other algorithms, which are not limited here.

[0103] Furthermore, the computer equipment also has adaptive conditions, and it can flexibly adjust the control intelligent regulation rules according to the changing production needs of the mineral raw materials during the processing and production of the mineral raw materials.

[0104] In one embodiment, the process of optimizing the parameters of the multi-stage screening equipment and / or the grinding equipment according to the optimal production parameters in step S140 may include:

[0105] S141: When the equipment to be optimized is a multi-stage screening equipment, a feedback signal is generated according to the optimal production parameters, and the feedback signal is sent to the multi-stage screening equipment, so that the multi-stage screening equipment performs parameter self-adjustment according to the feedback signal.

[0106] In this embodiment, when the equipment to be optimized is a multi-stage screening equipment, the computer equipment can generate a feedback signal based on the optimal production parameters, and send the feedback signal to the multi-stage screening equipment, so that the multi-stage screening equipment can self-adjust the parameters according to the feedback signal, readjust the airflow intensity, and adjust the particle size range of each level.

[0107] It is understandable that after receiving the feedback signal, the built-in intelligent adjustment mechanism of the multi-stage screening equipment will respond quickly, and according to the guidance information in the feedback signal, it will automatically and accurately readjust the key operating parameters such as the angle, vibration frequency and airflow intensity of each level of the screen, thereby realizing dynamic optimization of the screening process.

[0108] In one embodiment, the process of optimizing the parameters of the multi-stage screening equipment and / or the grinding equipment according to the optimal production parameters in step S140 may also include:

[0109] S142: When the equipment to be optimized is a grinding equipment, the initial production parameters of the grinding equipment are automatically adjusted to optimal production parameters in the management and control background of the grinding equipment.

[0110] In this embodiment, when the equipment to be optimized is a grinding equipment, the computer equipment can automatically adjust the initial production parameters of the grinding equipment to the optimal production parameters in the management and control background of the grinding equipment, thereby realizing automatic adjustment of the parameters of the grinding equipment, and further improving the efficiency and stability of the mineral raw material particle size control process.

[0111] The mineral raw material particle size control device provided in the embodiment of the present application is described below. The mineral raw material particle size control device described below and the mineral raw material particle size control method described above can be referenced to each other.

[0112] In one embodiment, Figure 4 As shown, Figure 4 A schematic diagram of a mineral raw material particle size control device provided in an embodiment of the present application; the present application also provides a mineral raw material particle size control device, including a raw material classification module 210, a particle size collection module 220, a particle size analysis module 230 and a parameter optimization module 240, specifically including the following:

[0113] The raw material classification module 210 is used to perform airflow classification on the initial raw materials to be processed by using multi-stage screening equipment to obtain mineral raw materials of multiple grades.

[0114] The particle size collection module 220 is used to transfer each level of mineral raw materials to the corresponding grinding equipment for processing, and continuously collect the real-time particle size data of the mineral raw materials before and after processing in each grinding equipment.

[0115] The particle size analysis module 230 is used to perform particle size analysis on the real-time particle size data according to preset standard particle size data to obtain analysis results, and when the analysis results do not meet the standards, determine the optimal production parameters of the multi-stage screening equipment and / or grinding equipment based on the analysis results.

[0116] The parameter optimization module 240 is used to optimize the parameters of the multi-stage screening equipment and / or the grinding equipment according to the optimal production parameters, and return to perform particle size analysis on the real-time particle size data based on the preset standard particle size data and subsequent steps.

[0117] In the above embodiment, when it is necessary to process the raw materials, a multi-stage screening device can be used to perform airflow classification on the initial raw materials to be processed to obtain multiple levels of mineral raw materials, ensuring that the raw materials within the particle size range of different levels can accurately and effectively enter the processing link of the corresponding intensity, so that the raw material particle size distribution is more uniform; after screening to obtain multiple levels of mineral raw materials, the mineral raw materials of each level can be transmitted to the corresponding grinding equipment for processing, and the real-time particle size data of the mineral raw materials before and after processing in each grinding equipment is continuously collected, so that the processing status of the raw materials can be fed back in real time through the real-time particle size data, so as to make timely adjustments when the particle size fluctuates and improve the processing effect; during the raw material processing process, the real-time particle size data can be analyzed according to the preset standard particle size data to obtain the analysis results, and when the analysis results do not meet the standards, the optimal production parameters of the multi-stage screening equipment and / or the grinding equipment are determined based on the analysis results, and the parameters of the multi-stage screening equipment and / or the grinding equipment are optimized according to the optimal production parameters, and the stability and efficiency of the processing process can be improved through the automatic fine control of the particle size. After optimizing the parameters of the equipment, the present application can continue to monitor and analyze the optimized real-time particle size data. Therefore, through this method, the particle size control process of the mineral raw materials can form a complete closed loop, realize fine particle size control of the whole process, avoid particle size fluctuations, and always meet the production process requirements.

[0118] In one embodiment, the feedstock classification module 210 may include:

[0119] The parameter setting submodule is used to determine the processing requirements of the initial raw materials to be processed, and to set the corresponding airflow parameters of multiple levels according to the processing requirements.

[0120] The airflow classification submodule is used to generate a feedback signal based on each airflow parameter and send the feedback signal to the multi-stage screening device so that the multi-stage screening device drives the airflow according to the airflow parameters to classify the initial raw materials into particle sizes to form multiple levels of mineral raw materials.

[0121] In one embodiment, the granularity acquisition module 220 may include:

[0122] The first monitoring submodule is used to continuously monitor the particle size distribution of mineral raw materials at each level through a particle size sensor arranged at the outlet of the multi-stage screening equipment as the particle size data before processing.

[0123] The second monitoring submodule is used to continuously monitor the particle size distribution of mineral raw materials of various levels through particle size sensors arranged at the outlets of various grinding equipment as the particle size data after processing.

[0124] The data collection submodule is used to collect the particle size data before processing and the particle size data after processing according to a preset frequency, and summarize the real-time particle size data of the initial raw material.

[0125] In one embodiment, the particle size analysis module 230 may include:

[0126] The particle size distribution determination submodule is used to determine the standard classification particle size of the multi-stage screening equipment and the standard particle size distribution of each grinding equipment according to the preset standard particle size data, and to determine the actual classification particle size of the multi-stage screening equipment and the actual particle size distribution of each grinding equipment according to the real-time particle size data.

[0127] The difference calculation submodule is used to calculate the first difference between the standard classification particle size and the actual classification particle size, and to calculate the second difference between the standard classification particle size corresponding to each grinding equipment and the actual particle size distribution.

[0128] The threshold comparison submodule is used to generate an analysis result based on the first difference and the second difference, and determine whether the first difference is less than a first preset threshold and the second difference is less than a second preset threshold.

[0129] The first confirmation submodule is used to confirm that the analysis result is up to standard when the first difference is less than the first preset threshold and the second difference is less than the second preset threshold.

[0130] The second confirmation submodule is used to confirm that the analysis result is not up to standard when the first difference is not less than the first preset threshold or the second difference is not less than the second preset threshold.

[0131] In one embodiment, the particle size analysis module 230 may include:

[0132] The adjustment strategy determination submodule is used to determine the substandard multi-stage screening equipment and / or grinding equipment as equipment to be optimized based on the analysis results, and determine the intelligent adjustment rules corresponding to the equipment to be optimized.

[0133] The initial parameter acquisition submodule is used to extract the difference data corresponding to the equipment to be optimized from the analysis results and obtain the initial production parameters of the equipment to be optimized.

[0134] The optimal parameter calculation submodule is used to calculate the difference data and the initial production parameters using intelligent adjustment rules to obtain the optimal production parameters.

[0135] In one embodiment, the parameter optimization module 240 may include:

[0136] The first adjustment submodule is used to generate a feedback signal according to the optimal production parameters when the equipment to be optimized is a multi-stage screening equipment, and send the feedback signal to the multi-stage screening equipment so that the multi-stage screening equipment can self-adjust the parameters according to the feedback signal.

[0137] In one embodiment, the parameter optimization module 240 may further include:

[0138] The second adjustment submodule is used to automatically adjust the initial production parameters of the grinding equipment to the optimal production parameters in the management and control background of the grinding equipment when the equipment to be optimized is the grinding equipment.

[0139] In one embodiment, the present application also provides a storage medium, which stores computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the mineral raw material particle size control method as described in any of the above embodiments.

[0140] In one embodiment, the present application also provides a computer device, in which computer-readable instructions are stored. When the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the mineral raw material particle size control method as described in any of the above embodiments.

[0141] Indicatively, Figure 5 As shown, Figure 5 This is a schematic diagram of the internal structure of a computer device provided in an embodiment of the present application. The computer device 300 may be provided as a server. Figure 5 The computer device 300 includes a processing component 302, which further includes one or more processors, and a memory resource represented by a memory 301 for storing instructions executable by the processing component 302, such as an application. The application stored in the memory 301 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 302 is configured to execute instructions to perform the mineral raw material particle size control method of any of the above embodiments.

[0142] The computer device 300 may further include a power supply component 303 configured to perform power management of the computer device 300, a wired or wireless network interface 304 configured to connect the computer device 300 to a network, and an input / output (I / O) interface 305. The computer device 300 may operate based on an operating system stored in the memory 301, such as Windows Server TM, Mac OS X TM, Unix TM, Linux TM, Free BSD TM, or the like.

[0143] Those skilled in the art will understand that Figure 5The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0144] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0145] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can refer to each other.

[0146] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for controlling the particle size of a mineral raw material, characterized in that: The method comprises: Use multi-stage screening equipment to perform airflow classification on the initial raw materials to be processed to obtain multiple levels of mineral raw materials; Transfer each level of mineral raw materials to the corresponding grinding equipment for processing, and continuously collect real-time particle size data of the mineral raw materials before and after processing in each grinding equipment; Performing particle size analysis on the real-time particle size data according to preset standard particle size data to obtain analysis results, and when the analysis results do not meet the standards, determining optimal production parameters of the multi-stage screening equipment and / or grinding equipment based on the analysis results; The parameters of the multi-stage screening equipment and / or grinding equipment are optimized according to the optimal production parameters, and the real-time particle size data is returned based on the preset standard particle size data for particle size analysis and subsequent steps.

2. The method for controlling the particle size of mineral raw materials according to claim 1, characterized in that: The multi-stage screening equipment is used to perform airflow classification on the initial raw materials to be processed to obtain multiple levels of mineral raw materials, including: Determining the processing requirements of the initial raw materials to be processed, and setting airflow parameters corresponding to multiple levels according to the processing requirements; A feedback signal is generated based on each airflow parameter, and the feedback signal is sent to a multi-stage screening device, so that the multi-stage screening device drives the airflow according to the airflow parameters to classify the initial raw materials into particle sizes, thereby forming multiple levels of mineral raw materials.

3. The method for controlling the particle size of mineral raw materials according to claim 1, characterized in that: The continuous collection of real-time particle size data of mineral raw materials before and after processing in each grinding equipment includes: The particle size distribution of each level of the mineral raw materials is continuously monitored by a particle size sensor arranged at the outlet of the multi-stage screening device as particle size data before processing; The particle size sensors installed at the outlet of each grinding equipment continuously monitor the particle size distribution of each grade of mineral raw materials as the particle size data after processing; The particle size data before processing and the particle size data after processing are collected at a preset frequency, and the real-time particle size data of the initial raw material is obtained by summarizing.

4. The method for controlling the particle size of mineral raw materials according to claim 1, characterized in that: The step of performing particle size analysis on the real-time particle size data according to the preset standard particle size data to obtain analysis results includes: Determine the standard classification particle size of the multi-stage screening equipment and the standard particle size distribution of each grinding equipment according to the preset standard particle size data, and determine the actual classification particle size of the multi-stage screening equipment and the actual particle size distribution of each grinding equipment according to the real-time particle size data; Calculating a first difference between the standard classification particle size and the actual classification particle size, and calculating a second difference between the standard classification particle size corresponding to each grinding device and the actual particle size distribution; generating an analysis result based on the first difference and the second difference, and determining whether the first difference is less than a first preset threshold and the second difference is less than a second preset threshold; If yes, confirm that the analysis result is up to standard; If not, the analysis result is confirmed to be unsatisfactory.

5. The method for controlling the particle size of mineral raw materials according to claim 1, characterized in that: Determining the optimal production parameters of the multi-stage screening equipment and / or grinding equipment based on the analysis results includes: Determine, according to the analysis results, the substandard multi-stage screening equipment and / or grinding equipment as equipment to be optimized, and determine intelligent adjustment rules corresponding to the equipment to be optimized; Extracting difference data corresponding to the device to be optimized from the analysis results, and obtaining initial production parameters of the device to be optimized; The intelligent adjustment rules are used to perform parameter calculation on the difference data and the initial production parameters to obtain optimal production parameters.

6. The method for controlling the particle size of mineral raw materials according to claim 5, characterized in that: The step of optimizing the parameters of the multi-stage screening equipment and / or grinding equipment according to the optimal production parameters includes: When the equipment to be optimized is a multi-stage screening equipment, a feedback signal is generated according to the optimal production parameters, and the feedback signal is sent to the multi-stage screening equipment, so that the multi-stage screening equipment performs parameter self-adjustment according to the feedback signal.

7. The method for controlling the particle size of mineral raw materials according to claim 5, characterized in that: The optimizing the parameters of the multi-stage screening equipment and / or grinding equipment according to the optimal production parameters also includes: When the equipment to be optimized is a grinding equipment, the initial production parameters of the grinding equipment are automatically adjusted to the optimal production parameters in the management and control background of the grinding equipment.

8. A device for controlling the particle size of mineral raw materials, characterized in that: include: A raw material classification module is used to perform airflow classification on the initial raw materials to be processed using a multi-stage screening device to obtain multiple levels of mineral raw materials; The particle size collection module is used to transfer each level of mineral raw materials to the corresponding grinding equipment for processing, and continuously collect the real-time particle size data of the mineral raw materials before and after processing in each grinding equipment; A particle size analysis module, used to perform particle size analysis on the real-time particle size data according to preset standard particle size data to obtain analysis results, and when the analysis results do not meet the standards, determine the optimal production parameters of the multi-stage screening equipment and / or grinding equipment based on the analysis results; The parameter optimization module is used to optimize the parameters of the multi-stage screening equipment and / or grinding equipment according to the optimal production parameters, and return to perform particle size analysis on the real-time particle size data based on preset standard particle size data and subsequent steps.

9. A storage medium, characterized in that: The storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the method for controlling the particle size of mineral raw materials as described in any one of claims 1 to 7.

10. A computer device, characterized in that: include: one or more processors, and memory; The memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, the steps of the method for controlling the particle size of mineral raw materials as described in any one of claims 1 to 7 are performed.

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