Product granularity control method and system

Abstract

The invention relates to the technical field of batteries, and provides a product granularity control method and system. The system comprises a particle size detector, a plurality of jet mill devices and corresponding PLC devices, the particle size detector sequentially collects particle samples of the products in each jet mill device, determines the current particle size according to the collected particle samples of the products in the target jet mill device, and sends the current particle size to the target PLC device corresponding to the target jet mill device; and the target PLC equipment judges whether a preset frequency adjusting condition is met or not according to the granularity error between the current granularity and the granularity index of the product, and adjusts the minute wheel level frequency of the target jet mill equipment when the frequency adjusting condition is met so as to control the granularity of the product. Therefore, the frequency of the grading wheel of the jet mill equipment is automatically adjusted, the granularity of products is accurately controlled, and the production quality and efficiency of the products are improved.

Description

Technical Field

[0001] The present invention relates to the field of battery technology, and in particular to a product particle size control method and system. Background Art

[0002] With the rapid development of the new energy industry, the refinement and automation of the production process of ternary lithium battery cathode materials, a key component of power batteries, are gaining increasing attention. Due to its advantages such as simplicity and low energy consumption, the dry process plays an irreplaceable role in specific application scenarios.

[0003] In dry process production, the jet mill is a core piece of equipment, responsible for grinding raw materials to the target particle size. Traditionally, technicians regularly sample the output and perform particle size analysis. The results are then fed back to the control room, and the operator manually adjusts the jet mill's frequency. However, this manual monitoring and adjustment method exhibits significant lag and reduces production efficiency.

[0004] At present, although there are also automated control technologies such as PID feedback to achieve automatic adjustment, this method is difficult to meet the operating requirements of the air flow mill equipment and cannot achieve stable control of the product particle size, which will affect the production quality of the product. Summary of the Invention

[0005] In view of this, an object of the present invention is to provide a method and system for controlling product particle size.

[0006] In order to achieve the above objectives, the technical solutions adopted in the embodiments of the present invention are as follows:

[0007] In a first aspect, the present invention provides a product particle size control method and an application system, wherein the system includes a particle size detector, multiple jet mills, and a PLC device corresponding to each jet mill. The method includes:

[0008] The particle size detector collects particle samples of the product in each air jet mill device in turn, and determines the current particle size based on the particle samples of the product in the target air jet mill device collected this time, and sends the current particle size to the target PLC device corresponding to the target air jet mill device;

[0009] The target PLC device determines whether a preset frequency adjustment condition is met based on the particle size error between the current particle size and the particle size index of the product, and adjusts the wheel stage frequency of the target air flow mill device to control the particle size of the product when the frequency adjustment condition is met.

[0010] In an optional embodiment, each PLC device stores a granularity control table, wherein the granularity control table includes a compliance range for each product;

[0011] Determining whether a preset frequency adjustment condition is met based on a particle size error between the current particle size and the particle size index of the product includes:

[0012] comparing the particle size error with a compliance range for the product;

[0013] When the particle size error falls within the compliance range of the product, it is determined that the frequency adjustment condition is not met;

[0014] When the particle size error does not fall within the compliance range of the product, detecting whether the target air jet mill equipment is abnormal;

[0015] If so, an alarm message is generated to inform the user that the device is abnormal;

[0016] If not, it is determined that the frequency adjustment condition is met.

[0017] In an optional embodiment, the particle size control table further includes an error threshold for each product;

[0018] Detecting whether the target jet mill equipment is abnormal includes:

[0019] Detecting whether the air pressure of the target jet mill equipment is abnormal;

[0020] If the air pressure of the target air jet mill device is abnormal, determining that the target air jet mill device is abnormal;

[0021] If the air pressure of the target jet mill is normal, then comparing the particle size error with the error threshold of the product;

[0022] When the particle size error does not exceed the error threshold of the product, it is determined that the target jet mill equipment is normal;

[0023] When the particle size error exceeds the error threshold of the product, it is determined that the target jet mill equipment is abnormal.

[0024] In an optional embodiment, detecting whether the air pressure of the target jet mill is abnormal includes:

[0025] Calculating an air pressure difference based on the current air pressure and the historical air pressure of the target air jet mill;

[0026] When the air pressure difference falls within a preset air pressure floating range, it is determined that the air pressure of the target jet mill is normal;

[0027] When the air pressure difference does not fall within the preset air pressure floating range, it is determined that the air pressure of the target jet mill is abnormal.

[0028] In an optional embodiment, each PLC device stores a granularity control table, the granularity control table including a plurality of reference range groups for each product and their corresponding frequency adjustment values;

[0029] Adjusting the frequency of the wheel stages of the target jet mill device includes:

[0030] Determining a target reference range group that matches the particle size error among a plurality of reference range groups of the product, and obtaining a target frequency adjustment value corresponding to the target reference range group;

[0031] The wheel stage frequency of the target air jet mill is adjusted according to the sign of the particle size error and the target frequency adjustment value.

[0032] In an optional embodiment, adjusting the wheel stage frequency of the target jet mill device according to the sign of the particle size error and the target frequency adjustment value includes:

[0033] When the sign of the particle size error is positive, increasing the wheel stage frequency of the target air jet mill according to the target frequency adjustment value;

[0034] When the sign of the particle size error is negative, the wheel stage frequency of the target airflow mill is reduced according to the target frequency adjustment value.

[0035] In an optional embodiment, the method further comprises:

[0036] After the target PLC device is adjusted N times, a new current granularity for the N+1th time is obtained; N is a positive integer;

[0037] The target PLC device calculates a new particle size error according to the new current particle size and the particle size index of the product, and compares the new particle size error with an error reference value of the product;

[0038] When the new current granularity exceeds the error reference value of the product, the target PLC device generates an alarm message to prompt the user that the device is abnormal.

[0039] In an optional embodiment, the method further comprises:

[0040] After the target PLC device is adjusted M times, the adjusted wheel level frequency of the target jet mill device is obtained, where M is a positive integer;

[0041] The target PLC device calculates a frequency difference based on the adjusted pinion stage frequency and a preset reference pinion stage frequency, and compares the frequency difference with a preset frequency floating range;

[0042] When the frequency difference does not fall within a preset frequency floating range, the target PLC device generates an alarm message to prompt a user that the device is abnormal.

[0043] In an optional embodiment, the granularity control table is generated in the following manner:

[0044] For each product, fitting is performed based on the historical particle size analysis data of the product to obtain a function curve representing the relationship between the particle size of the product and the classification wheel frequency;

[0045] Determining, based on the function curve, a compliance range of the product, a plurality of reference range groups and their corresponding frequency adjustment values, an error threshold, and an error reference value, to obtain particle size control information of the product;

[0046] The particle size control table is generated based on the particle size control information of each product.

[0047] In a second aspect, the present invention provides a system comprising a particle size detector, a plurality of jet mills, and a PLC device corresponding to each jet mill;

[0048] The particle size detector is used to collect particle samples of the product in each air jet mill device in turn, and determine the current particle size based on the particle samples of the product in the target air jet mill device collected this time, and send the current particle size to the target PLC device corresponding to the target air jet mill device;

[0049] The target PLC device is used to determine whether a preset frequency adjustment condition is met based on the particle size error between the current particle size and the particle size index of the product, and when the frequency adjustment condition is met, adjust the wheel stage frequency of the target air flow mill device to control the particle size of the product.

[0050] The embodiment of the present invention provides a product particle size control method and system, which includes a particle size detector, multiple air flow mills, and a PLC device corresponding to each air flow mill. The particle size detector sequentially collects particle samples of the product in each air flow mill, determines the current particle size based on the particle sample of the product in the target air flow mill collected this time, and sends the current particle size to the target PLC device corresponding to the target air flow mill. The target PLC device determines whether the preset frequency adjustment condition is met based on the particle size error between the current particle size and the particle size index of the product, and when the frequency adjustment condition is met, adjusts the frequency of the classifying wheel of the target air flow mill to control the particle size of the product. The embodiment of the present invention uses the efficient cooperation between the particle size detector and the PLC device to dynamically adjust the frequency of the grading wheel according to the particle size error. This achieves automatic adjustment of the frequency of the grading wheel of the air flow mill and precise control of the product particle size, thereby improving the production quality and efficiency of the product.

[0051] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0053] Figure 1 A schematic diagram of a system provided by an embodiment of the present invention is shown;

[0054] Figure 2 A block diagram of an electronic device provided by an embodiment of the present invention is shown;

[0055] Figure 3 A schematic flow chart of a product particle size control method according to an embodiment of the present invention is shown;

[0056] Figure 4 A schematic diagram of the generation process of the granularity control table provided by an embodiment of the present invention is shown.

[0057] Icon: 100 - electronic device; 110 - processor; 120 - memory; 130 - communication module. DETAILED DESCRIPTION

[0058] The following will be combined with the accompanying drawings to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0059] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but is merely intended to represent selected embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative work are within the scope of protection of the present invention.

[0060] It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.

[0061] See also Figure 1 , is a schematic diagram of a system provided by an embodiment of the present invention. The system includes a particle size detector, multiple jet mills, and multiple PLC devices. For example, the system includes k jet mills and PLC devices, and each jet mill has a corresponding PLC device.

[0062] Among them, a jet mill is a device that uses physical effects such as high-speed airflow to achieve ultrafine grinding of materials. A particle size detector is a device that uses physical methods to measure particle size and distribution. The particle size detector is connected to multiple jet mills via independent pipelines to collect and analyze particle samples from each jet mill, and transmit the analysis results to the corresponding PLC device. The PLC device is a device based on a PLC (Programmable Controller) to control the operation of the jet mill.

[0063] See also Figure 2 , is a block diagram of an electronic device provided by an embodiment of the present invention. The electronic device can be used to implement the above Figure 1 The electronic device 100 includes a processor 110, a memory 120, and a communication module 130. Each component is electrically connected to each other, directly or indirectly, to enable data transmission or interaction. For example, these components can be electrically connected to each other via one or more communication buses or signal lines.

[0064] The processor 110 is used to read / write data or programs stored in the memory 120 and execute corresponding functions. It can be a general-purpose processor, including a CPU (Central Processing Unit), an NP (Network Processor), etc.; it can also be a DSP digital signal processor, an ASIC application-specific integrated circuit, an FPGA off-the-shelf programmable gate array or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0065] The memory 120 is used to store programs or data, and can be RAM (Random Access Memory), ROM (Read Only Memory), PROM (Programmable Read-Only Memory), EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electric Erasable Programmable Read-Only Memory), etc.

[0066] The communication module 130 is used to communicate signaling or data with other devices.

[0067] It is understandable that Figure 2 The structure shown is only a schematic diagram of the structure of the electronic device 100. The electronic device 100 may also include Figure 2 More or fewer components than shown, or with Figure 2 Different configurations shown. Figure 2 Each component shown in the figure can be implemented by hardware, software or a combination thereof.

[0068] The following will use the above-mentioned system as the execution subject to introduce the various steps in the various methods provided by the embodiments of the present invention, as well as the technical effects achieved.

[0069] See also Figure 3 , is a flow chart of a product particle size control method provided by an embodiment of the present invention.

[0070] In step S202, the particle size detector collects particle samples of the product in each jet mill device in turn, determines the current particle size based on the particle samples of the product in the target jet mill device collected this time, and sends the current particle size to the target PLC device corresponding to the target jet mill device.

[0071] In step S204, the target PLC device determines whether the preset frequency adjustment condition is met based on the particle size error between the current particle size and the particle size index of the product, and adjusts the wheel stage frequency of the target air flow mill device to control the particle size of the product when the frequency adjustment condition is met.

[0072] In this embodiment, the particle size detector sequentially collects and analyzes particle samples from each jet mill and sends the current particle size of the product obtained from this analysis to the corresponding PLC device. In other words, the particle size detector uses a polling method to sequentially obtain and analyze particle size data from each jet mill at fixed intervals.

[0073] For ease of understanding, the target air flow mill equipment collected by the particle size detector in this embodiment of the present invention is Figure 1 Let's take the jet mill 1 in the example of FIG. For example, a particle size detector collects and analyzes a particle sample of the product in jet mill 1. The particle size detector uses light diffraction technology to illuminate the particle sample with diffracted light, forming a projection on a backplane. The diffracted light intensity is then collected to generate a light intensity distribution. Particle size distribution information is then derived from the light intensity distribution, thereby determining the current particle size of the product in jet mill 1. This current particle size is then transmitted to the PLC device corresponding to jet mill 1, namely, PLC device 1.

[0074] After receiving the current particle size from the particle size detector, the target PLC device, i.e., PLC device 1, calculates the particle size error based on the current particle size and the product's particle size index. For example, the particle size error can be calculated by subtracting the product's particle size index from the current particle size. The particle size index can be represented by the parameter D50 (median particle size). D50 refers to the median particle size at which 50% of the particles in a sample have a particle size less than or equal to this value. It is used to describe the average particle size of a particle system and is a commonly used parameter for measuring the particle size characteristics of materials such as powders.

[0075] The PLC device 1 then determines, based on the particle size error, whether a preset frequency adjustment condition has been met. If so, the PLC device 1 sends a control instruction to the airflow mill 1 to adjust the frequency of the classifying wheel of the airflow mill 1, thereby controlling the particle size of the product in the airflow mill 1. The classifying wheel frequency refers to the number of rotations per minute of the classifying wheel in the airflow mill, typically expressed in Hertz (Hz). The classifying wheel frequency is closely related to particle size control and can directly affect the final particle size distribution of the product.

[0076] Understandably, due to operational limitations of the particle size analyzer, each sample collection and particle size analysis takes approximately ten minutes, meaning that particle size analysis cannot continuously and uninterruptedly analyze particle size information. The PID controller operates by collecting input information and controlling output information in real time. Therefore, PID control cannot be used in the system scenario provided by the embodiments of the present invention.

[0077] Therefore, compared to the existing technology, the embodiments of the present invention utilize the efficient collaboration between the particle size detector and the PLC device to dynamically adjust the classifying wheel frequency based on the particle size error. This enables automatic adjustment of the classifying wheel frequency of the jet mill and precise control of the product particle size, improving product production quality and efficiency.

[0078] Optionally, for the process of determining whether a preset frequency adjustment condition is met based on the particle size error between the current particle size and the particle size index of the product in step S204, an embodiment of the present invention provides a possible implementation method.

[0079] Step S204-1, comparing the particle size error with the compliance range of the product.

[0080] Step S204 - 2 : When the particle size error falls within the compliance range of the product, it is determined that the frequency adjustment condition is not met.

[0081] Step S204-3: When the particle size error does not fall within the product compliance range, detect whether the target jet mill equipment is abnormal.

[0082] Step S204-4: If yes, generate an alarm message to inform the user that the device is abnormal.

[0083] Step S204-5: If not, it is determined that the frequency adjustment condition is met.

[0084] In this embodiment, each PLC device stores a particle size control table. This table is an important basis for achieving precise product particle size control and contains particle size control information for multiple products. For example, battery materials can be divided into multiple products based on the ratio of metals such as nickel, cobalt, and manganese. Each product requires different viscosities, particle sizes, and shapes to achieve different functions.

[0085] The particle size control information of the product includes a compliance range, multiple reference range groups and their corresponding frequency adjustment values, an error threshold, and an error reference value. Among them, the compliance range represents the acceptable deviation range between the product particle size and the particle size index. The reference range group includes a positive reference range and a negative reference range, and the two are symmetrical, and the positive reference range and the negative reference range both represent the adjustable deviation range between the product particle size and the particle size index. The error threshold represents the maximum deviation between the adjustable product particle size and the particle size index, and the error threshold includes an upper error limit and a lower error limit. The error reference value represents the deviation reference value between the product particle size and the particle size index, and the error reference value includes an upper error reference limit and a lower error reference limit.

[0086] For ease of understanding, the following description will continue with the example where the target jet mill device is jet mill device 1 and the target PLC device is PLC device 1. For example, the material in jet mill device 1 is the material of product 1, and the particle size control information of product 1 is shown in the following table.

[0087]

[0088]

[0089] It should be understood that the granularity control information in the above table is merely an example, and the granularity control information of each product can be set according to actual conditions, which is not limited in this embodiment of the present invention.

[0090] First, PLC device 1 compares the calculated particle size error with the compliance range of Product 1, i.e., [-0.05, +0.05] μm. If the particle size error falls within the compliance range of Product 1, i.e., [-0.05, +0.05] μm, the deviation between the current particle size and the particle size index of Product 1 is acceptable, indicating that the classifying wheel frequency of Jet Mill 1 is appropriate and no adjustment is required. The frequency adjustment condition is then determined to have not been met.

[0091] If the particle size error does not fall within the compliance range of product 1, that is, [-0.05, +0.05] um, it means that the deviation between the current particle size and the particle size index of product 1 is unqualified. Then the air flow mill equipment 1 will be checked for abnormalities to determine whether the failure is caused by abnormalities in the air flow mill equipment 1.

[0092] If the jet mill 1 is found to be abnormal after testing, an alarm message will be generated to inform the user of a fault or potential problem, so that timely manual intervention and maintenance can be carried out. If the jet mill 1 is found to be normal after testing, it means that the current unqualified particle size is not caused by a device failure, but by an inappropriate frequency of the classifying wheel. In this case, the frequency adjustment condition will be determined to be met, and the frequency of the classifying wheel of the jet mill 1 will be adjusted accordingly.

[0093] It can be understood that the embodiments of the present invention use the compliance range in the particle size control table as a benchmark and combine it with the results of the particle size error comparison to achieve effective monitoring of the operating status of the jet mill equipment and reasonable adjustment of the classifier wheel frequency. This not only ensures that the product particle size is always within the preset range, but also promptly issues alarm information when the equipment experiences an abnormality, thereby improving the stability and reliability of the production process.

[0094] Optionally, for the process of detecting whether the target jet mill device is abnormal in step S204 - 3 , an embodiment of the present invention provides a possible implementation method.

[0095] Step S204-3-1, detecting whether the air pressure of the target jet mill equipment is abnormal.

[0096] Step S204-3-2: If the air pressure of the target air jet mill is abnormal, it is determined that the target air jet mill is abnormal.

[0097] Step S204-3-3: If the air pressure of the target jet mill is normal, the particle size error is compared with the product error threshold.

[0098] Step S204-3-4: When the particle size error does not exceed the product error threshold, it is determined that the target air jet mill equipment is normal.

[0099] Step S204-3-5: When the particle size error exceeds the product error threshold, it is determined that the target air flow mill equipment is abnormal.

[0100] It is understood that the operating principle of a jet mill is that gas reaches the speed of sound after passing through a nozzle to grind the raw material. To achieve such a high speed, the nozzle's outlet pressure and inlet pressure must maintain a certain backpressure ratio (inlet / outlet). In other words, the stability of the air pressure directly affects the operation of the equipment and the consistency of the product particle size. Therefore, when the particle size error exceeds the product compliance range, the present invention will detect whether it is abnormal by detecting the air pressure of the target jet mill.

[0101] For ease of understanding, the target jet mill device is jet mill device 1, the target PLC device is PLC device 1, and the particle size control information of product 1 is used as an example for description.

[0102] For example, PLC device 1 detects abnormal air pressure in jet mill 1. If the pressure is abnormal, jet mill 1 is considered abnormal and an alarm is generated to alert the user of a device failure or potential problem. If the pressure is normal, the particle size error is compared with the error threshold for product 1: the upper error limit (+0.3) and the lower error limit (-0.3).

[0103] If the particle size error is less than or equal to the upper error limit, i.e., +0.3, and greater than or equal to the lower error limit, i.e., -0.3, the particle size error is determined to have not exceeded the error threshold of product 1, and the airflow mill 1 is determined to be normal. If the particle size error is greater than the upper error limit, i.e., +0.3, or the particle size error is less than the lower error limit, i.e., -0.3, the particle size error is determined to have exceeded the error threshold of product 1, indicating that the current particle size deviation may be caused by an equipment abnormality rather than an improper setting of the classifying wheel frequency. In this case, the airflow mill 1 is determined to be abnormal, and an alarm message is generated to inform the user that there is a fault or potential problem with the equipment.

[0104] This embodiment of the present invention combines two key steps: air pressure detection and error threshold comparison, to achieve a multi-dimensional assessment of the operating status of a target jet mill. This not only effectively identifies particle size deviations caused by improperly set classifying wheel frequency, but also promptly identifies problems caused by equipment failures, thereby ensuring production process stability and product quality reliability.

[0105] Optionally, for step S204-3-1, an embodiment of the present invention provides a possible implementation method, namely: calculating the air pressure difference based on the current air pressure and historical air pressure of the target air flow mill device; when the air pressure difference falls within the preset air pressure floating range, determining that the air pressure of the target air flow mill device is normal; when the air pressure difference does not fall within the preset air pressure floating range, determining that the air pressure of the target air flow mill device is abnormal.

[0106] For ease of understanding, the target jet mill device is the jet mill device 1 and the target PLC device is the PLC device 1 as an example for further description.

[0107] For example, PLC device 1 first obtains the current air pressure of the jet mill 1 and a historical air pressure, such as the pressure from half an hour ago. It then calculates the difference between the current air pressure and the historical air pressure to determine the pressure difference. PLC device 1 then compares the pressure difference with a preset pressure fluctuation range, such as [-0.02, +0.02] MPa. The pressure fluctuation range can be understood as a parameter interval pre-set based on the operating characteristics and production requirements of the jet mill, defining an acceptable range of pressure fluctuations.

[0108] If the air pressure difference falls within the pressure fluctuation range of [-0.02, +0.02] MPa, the air pressure of the jet mill 1 is determined to be normal. If the air pressure difference does not fall within the pressure fluctuation range of [-0.02, +0.02] MPa, it indicates that the air pressure fluctuation is too large, and the jet mill 1 is determined to be abnormal. An alarm message is generated to inform the user of a fault or potential problem in the equipment, thereby reducing the adverse effects of pressure fluctuations on equipment operation and product quality.

[0109] It can be understood that the embodiments of the present invention, by introducing a pressure differential calculation and comparison mechanism, achieve accurate assessment of the target jet mill's air pressure status. This not only enables timely detection of potential problems caused by pressure fluctuations, but also improves the effectiveness of monitoring the equipment's operating status, providing a more reliable guarantee for particle size control.

[0110] Optionally, for the process of adjusting the frequency of the wheel stages of the target jet mill in step S204, an embodiment of the present invention provides a possible implementation method.

[0111] Step S204 - 6 : determining a target reference range group that matches the particle size error among the multiple reference range groups of the product, and obtaining a target frequency adjustment value corresponding to the target reference range group.

[0112] Step S204-7: adjusting the wheel stage frequency of the target jet mill according to the sign of the particle size error and the target frequency adjustment value.

[0113] For ease of understanding, the target jet mill device is jet mill device 1, the target PLC device is PLC device 1, and the particle size control information of product 1 is used as an example for description.

[0114] For example, when PLC device 1 determines that the frequency of the classifying wheel of jet mill 1 needs to be adjusted, it first determines a target reference range group that matches the particle size error from the three reference range groups of product 1. Specifically, the positive reference range or negative reference range to which the particle size error belongs is determined in reference range group 1, reference range group 2, and reference range group 3, and the reference range group containing the positive reference range or negative reference range to which the particle size error belongs is used as the target reference range group.

[0115] If the target reference range group matched by the particle size error is reference range group 1, i.e., ±(0.05, 0.1]um, then the frequency adjustment value corresponding to reference range group 1, i.e., 0.2Hz, is used as the target frequency adjustment value. If the target reference range group matched by the particle size error is reference range group 2, i.e., ±(0.1, 0.2]um, then the frequency adjustment value corresponding to reference range group 2, i.e., 0.4Hz, is used as the target frequency adjustment value. If the target reference range group matched by the particle size error is reference range group 3, i.e., ±(0.2, 0.3]um, then the frequency adjustment value corresponding to reference range group 1, i.e., 0.6Hz, is used as the target frequency adjustment value. In addition, the wheel stage frequency of the airflow mill 1 is adjusted according to the sign of the particle size error and the target frequency adjustment value.

[0116] It can be understood that the present embodiment achieves refined management of the frequency adjustment of the grading wheel by using multiple reference range groups and their corresponding frequency adjustment values ​​in the particle size control table. This not only allows for rapid determination of the appropriate frequency adjustment strategy based on the particle size error, but also enables accurate judgment of the adjustment direction based on the sign, thereby ensuring that the product particle size remains within the preset range.

[0117] Optionally, for step S204-7, an embodiment of the present invention provides a possible implementation method.

[0118] Step S204-7-1: When the sign of the particle size error is positive, the frequency of the target jet mill is increased according to the target frequency adjustment value.

[0119] Step S204-7-2: When the sign of the particle size error is negative, the frequency of the target jet mill is reduced according to the target frequency adjustment value.

[0120] For ease of understanding, the target jet mill device is jet mill device 1, the target PLC device is PLC device 1, and the particle size control information of product 1 is used as an example for description.

[0121] For example, when the sign of the particle size error is positive, it means that the current particle size is greater than the particle size index of product 1. In this case, the frequency value obtained by adding the current wheel stage frequency of the air flow mill device 1 to the target frequency adjustment value is used as the wheel stage frequency of the air flow mill device 1 to increase the wheel stage frequency of the air flow mill device 1, thereby reducing the particle size, so that the product particle size gradually approaches the particle size index of product 1.

[0122] When the sign of the particle size error is negative, it means that the current particle size is smaller than the particle size index of product 1. Then the frequency value obtained by subtracting the current wheel stage frequency of the air flow mill equipment 1 from the target frequency adjustment value is used as the wheel stage frequency of the air flow mill equipment 1 to reduce the wheel stage frequency of the air flow mill equipment 1, thereby increasing the particle size, so that the product particle size gradually approaches the particle size index of product 1.

[0123] It can be understood that the sign of the particle size error is the key basis for determining whether the current particle size is larger or smaller than the particle size index. By clearly distinguishing between positive and negative signs, the adjustment strategy for increasing or decreasing the paddlewheel stage frequency can be accurately selected. Furthermore, the target frequency adjustment value, as a specific adjustment amplitude parameter, ensures that the frequency adjustment operation is both directional and controllable, thereby achieving precise control of the paddlewheel stage frequency.

[0124] Optionally, after step S204, an embodiment of the present invention provides a possible implementation manner.

[0125] Step S206 , after the target PLC device is adjusted N times, a new current granularity of the N+1th time is obtained; N is a positive integer.

[0126] In step S208 , the target PLC device calculates a new particle size error based on the new current particle size and the particle size index of the product, and compares the new particle size error with an error reference value of the product.

[0127] In step S210 , when the new current granularity exceeds the product error reference value, the target PLC device generates an alarm message to prompt the user that the device is abnormal.

[0128] For ease of understanding, the target jet mill device is the jet mill device 1 and the target PLC device is the PLC device 1 as an example for further description.

[0129] For example, after completing N times, such as 3 times, of adjusting the frequency of the grading wheel, the PLC device 1 will obtain the new current particle size received for the 4th time; then, based on the new current particle size and the particle size index of the product 1, the new particle size error will be calculated, and the new particle size error will be compared with the error reference value of the product 1, that is, the new particle size error will be compared with the error reference upper limit value, i.e., +0.2, and the error reference lower limit value, i.e., -0.2, respectively.

[0130] If the new particle size error is less than or equal to the error reference upper limit value, i.e., +0.2, and greater than or equal to the error reference lower limit value, i.e., -0.2, it is determined that the new particle size error does not exceed the error reference value of product 1, which means that after multiple adjustments, the particle size error has been effectively controlled, and then the adjustment process is continued.

[0131] If the new particle size error is greater than the error reference upper limit value, i.e., +0.2, or the new particle size error is less than the error reference lower limit value, i.e., -0.2, it is determined that the new particle size error exceeds the error reference value of product 1, which means that after multiple adjustments, the particle size error has not been effectively controlled. This may be caused by a failure of the air flow mill equipment 1. In this case, an alarm message is generated to remind the user that there is a potential problem with the equipment so that corresponding measures can be taken to investigate and repair it.

[0132] It can be understood that the present embodiment achieves dynamic monitoring of the operating status of the target jet mill by regularly comparing the new current particle size with the error reference value. This not only enables timely detection of particle size deviations caused by improper adjustment or equipment failure, but also effectively avoids product quality issues caused by prolonged periods of unchecked operation.

[0133] Optionally, after step S204, an embodiment of the present invention provides a possible implementation manner.

[0134] Step S212: After each M-th adjustment of the target PLC device, the adjusted wheel-stage frequency of the target jet mill device is obtained; M is a positive integer.

[0135] In step S214, the target PLC device calculates a frequency difference according to the adjusted pinion stage frequency and a preset reference pinion stage frequency, and compares the frequency difference with a preset frequency floating range.

[0136] Step S216: When the frequency difference does not fall within the preset frequency floating range, the target PLC device generates an alarm message to inform the user that the device is abnormal.

[0137] For ease of understanding, the target jet mill device is the jet mill device 1 and the target PLC device is the PLC device 1 as an example for further description.

[0138] For example, after completing M, e.g., five, adjustments to the classifying wheel frequency, PLC device 1 will obtain the fifth adjusted impeller frequency of jet mill 1. It will then calculate the frequency difference between the adjusted impeller frequency and a preset reference impeller frequency, and compare this frequency difference with a preset frequency fluctuation range, e.g., [-2, +2] Hz. The reference impeller frequency is a reference frequency value pre-set based on equipment design parameters and production requirements, while the frequency fluctuation range defines a reasonable fluctuation range for the impeller frequency.

[0139] If the frequency difference falls within the frequency floating range, i.e., [-2, +2] Hz, then after multiple adjustments, the classifying wheel of the airflow mill 1 is operating normally, and the adjustment process continues. If the frequency difference does not fall within the frequency floating range, i.e., [-2, +2] Hz, then after multiple adjustments, the classifying wheel of the airflow mill 1 is operating outside the normal range, indicating that the airflow mill 1 may have a fault. In this case, an alarm message is generated to inform the user of a potential problem with the equipment so that appropriate measures can be taken to troubleshoot and repair it.

[0140] It can be understood that the present embodiment achieves dynamic monitoring of the operating status of the target jet mill by regularly comparing the adjusted impeller stage frequency with the reference impeller stage frequency. This not only enables timely detection of frequency deviations caused by improper adjustment or equipment failure, but also effectively avoids production risks caused by prolonged periods of unchecked operation.

[0141] Optionally, for the above-mentioned granularity control table, the embodiment of the present invention further provides an implementation method for generating the granularity control table, please refer to Figure 4 .

[0142] Step S218: For each product, fitting is performed based on the historical particle size analysis data of the product to obtain a function curve representing the relationship between the particle size of the product and the frequency of the classification wheel.

[0143] In step S220 , the compliance range of the product, the frequency adjustment values ​​corresponding to the multiple reference range groups, the error threshold value, and the error reference value are determined according to the function curve to obtain the granularity control information of the product.

[0144] Step S222: Generate a particle size control table based on the particle size control information of each product.

[0145] It is understood that the methods for obtaining particle size control information for each product in the embodiments of the present invention are similar. For the sake of simplicity, the following explanation uses one product as an example. First, historical particle size analysis data for the product is collected. This data is derived from sampling and testing results during the actual production process and can reflect the particle size variation patterns of the product under different classification wheel frequency settings.

[0146] Then, using analytical tools, we perform a fitting operation based on the product's historical particle size analysis data to obtain a function curve that represents the relationship between product particle size and classifier frequency. This function curve can be understood as a mathematical description of the product's particle size characteristics, which can intuitively reflect the impact of changes in classifier frequency on product particle size.

[0147] Based on this function curve, the product's compliance range, multiple reference range groups and their corresponding frequency adjustment values, error thresholds, and error reference values ​​are further determined. The compliance range defines the acceptable range for product particle size, ensuring that final product quality meets standard requirements. Multiple reference range groups and their corresponding frequency adjustment values ​​refine the mapping between particle size error and grading wheel frequency adjustment, providing a precise basis for frequency adjustment. The error thresholds and error reference values ​​are key parameters for determining equipment operating status and whether particle size deviation is abnormal, ensuring the stability of the production process.

[0148] Finally, in a similar manner as above, granularity control information of multiple products is generated, and a granularity control table is generated based on the granularity control information.

[0149] It can be understood that the present invention converts historical particle size analysis data into a function curve and extracts the parameters required for particle size control to generate a particle size control table. This not only effectively utilizes the underlying patterns in the historical data, but also provides a scientific basis for product particle size control and data support for the accuracy and efficiency of classifier frequency adjustment.

[0150] An embodiment of the present invention further provides a system including a particle size detector, a plurality of air flow mills, and a PLC device corresponding to each air flow mill.

[0151] The particle size detector is used to collect particle samples of the product in each air jet mill equipment in turn, and determine the current particle size based on the particle samples of the product in the target air jet mill equipment collected this time, and send the current particle size to the target PLC device corresponding to the target air jet mill equipment.

[0152] The target PLC device is used to determine whether the preset frequency adjustment conditions are met based on the particle size error between the current particle size and the particle size index of the product, and when the frequency adjustment conditions are met, adjust the wheel level frequency of the target air flow mill device to control the particle size of the product.

[0153] Optionally, the target PLC device is also used to: compare the particle size error with the compliance range of the product; when the particle size error falls within the compliance range of the product, determine that the frequency adjustment condition is not met; when the particle size error does not fall within the compliance range of the product, detect whether the target air flow mill device is abnormal; if so, generate an alarm message to prompt the user that the device is abnormal; if not, determine that the frequency adjustment condition is met.

[0154] Optionally, the target PLC device is also used to: detect whether the air pressure of the target air flow mill device is abnormal; if the air pressure of the target air flow mill device is abnormal, determine that the target air flow mill device is abnormal; if the air pressure of the target air flow mill device is normal, compare the particle size error with the error threshold of the product; when the particle size error does not exceed the error threshold of the product, determine that the target air flow mill device is normal; when the particle size error exceeds the error threshold of the product, determine that the target air flow mill device is abnormal.

[0155] Optionally, the target PLC device is also used to: calculate the air pressure difference based on the current air pressure and historical air pressure of the target air jet mill device; when the air pressure difference falls within the preset air pressure floating range, determine that the air pressure of the target air jet mill device is normal; when the air pressure difference does not fall within the preset air pressure floating range, determine that the air pressure of the target air jet mill device is abnormal.

[0156] Optionally, the target PLC device is also used to: determine a target reference range group that matches the particle size error among multiple reference range groups of the product, and obtain a target frequency adjustment value corresponding to the target reference range group; and adjust the wheel stage frequency of the target air flow mill device according to the sign of the particle size error and the target frequency adjustment value.

[0157] Optionally, the target PLC device is also used to: when the sign of the particle size error is positive, increase the wheel stage frequency of the target air flow mill device according to the target frequency adjustment value; when the sign of the particle size error is negative, reduce the wheel stage frequency of the target air flow mill device according to the target frequency adjustment value.

[0158] Optionally, the target PLC device is also used to: obtain the new current granularity for the N+1th time after every N adjustments; N is a positive integer; calculate the new granularity error based on the new current granularity and the granularity index of the product, and compare the new granularity error with the error reference value of the product; when the new current granularity exceeds the error reference value of the product, generate an alarm message to prompt the user that the device is abnormal.

[0159] Optionally, the target PLC device is also used to: obtain the adjusted sub-wheel stage frequency of the Mth target air flow mill device after each M adjustments; M is a positive integer; calculate the frequency difference based on the adjusted sub-wheel stage frequency and the preset reference sub-wheel stage frequency, and compare the frequency difference with the preset frequency floating range; when the frequency difference does not fall within the preset frequency floating range, generate an alarm message to prompt the user that the device is abnormal.

[0160] In the several embodiments provided in this application, it should be understood that the disclosed method can also be implemented in other ways. The embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the possible implementation architecture, functions and operations of the methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or can be implemented using a combination of dedicated hardware and computer instructions.

[0161] In addition, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0162] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0163] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A method for controlling product particle size, characterized in that: An application system includes a particle size detector, multiple air flow mills, and a PLC device corresponding to each air flow mill. The method includes: The particle size detector collects particle samples of the product in each air jet mill device in turn, and determines the current particle size based on the particle samples of the product in the target air jet mill device collected this time, and sends the current particle size to the target PLC device corresponding to the target air jet mill device; The target PLC device determines whether a preset frequency adjustment condition is met based on the particle size error between the current particle size and the particle size index of the product, and adjusts the wheel stage frequency of the target air flow mill device to control the particle size of the product when the frequency adjustment condition is met.

2. The product particle size control method according to claim 1, characterized in that: Each PLC device stores a granularity control table, which includes the compliance range of each product; Determining whether a preset frequency adjustment condition is met based on a particle size error between the current particle size and the particle size index of the product includes: comparing the particle size error with a compliance range for the product; When the particle size error falls within the compliance range of the product, it is determined that the frequency adjustment condition is not met; When the particle size error does not fall within the compliance range of the product, detecting whether the target air jet mill equipment is abnormal; If so, an alarm message is generated to inform the user that the device is abnormal; If not, it is determined that the frequency adjustment condition is met.

3. The product particle size control method according to claim 2, characterized in that: The particle size control table also includes an error threshold for each product; Detecting whether the target jet mill equipment is abnormal includes: Detecting whether the air pressure of the target jet mill equipment is abnormal; If the air pressure of the target air jet mill device is abnormal, determining that the target air jet mill device is abnormal; If the air pressure of the target jet mill is normal, then comparing the particle size error with the error threshold of the product; When the particle size error does not exceed the error threshold of the product, it is determined that the target jet mill equipment is normal; When the particle size error exceeds the error threshold of the product, it is determined that the target jet mill equipment is abnormal.

4. The product particle size control method according to claim 3, characterized in that: Detecting whether the air pressure of the target jet mill equipment is abnormal includes: Calculating an air pressure difference based on the current air pressure and the historical air pressure of the target air jet mill; When the air pressure difference falls within a preset air pressure floating range, it is determined that the air pressure of the target jet mill is normal; When the air pressure difference does not fall within the preset air pressure floating range, it is determined that the air pressure of the target jet mill is abnormal.

5. The product particle size control method according to claim 1, characterized in that: Each PLC device stores a granularity control table, which includes multiple reference range groups for each product and their corresponding frequency adjustment values; Adjusting the frequency of the wheel stages of the target jet mill device includes: Determining a target reference range group that matches the particle size error among a plurality of reference range groups of the product, and obtaining a target frequency adjustment value corresponding to the target reference range group; The wheel stage frequency of the target air jet mill is adjusted according to the sign of the particle size error and the target frequency adjustment value.

6. The product particle size control method according to claim 5, characterized in that: Adjusting the wheel stage frequency of the target air jet mill according to the sign of the particle size error and the target frequency adjustment value includes: When the sign of the particle size error is positive, increasing the wheel stage frequency of the target air jet mill according to the target frequency adjustment value; When the sign of the particle size error is negative, the wheel stage frequency of the target airflow mill is reduced according to the target frequency adjustment value.

7. The product particle size control method according to claim 1, characterized in that: The method further comprises: After the target PLC device is adjusted N times, a new current granularity for the N+1th time is obtained; N is a positive integer; The target PLC device calculates a new particle size error according to the new current particle size and the particle size index of the product, and compares the new particle size error with an error reference value of the product; When the new current granularity exceeds the error reference value of the product, the target PLC device generates an alarm message to prompt the user that the device is abnormal.

8. The product particle size control method according to claim 1, characterized in that: The method further comprises: After the target PLC device is adjusted M times, the adjusted wheel level frequency of the target jet mill device is obtained, where M is a positive integer; The target PLC device calculates a frequency difference based on the adjusted pinion stage frequency and a preset reference pinion stage frequency, and compares the frequency difference with a preset frequency floating range; When the frequency difference does not fall within a preset frequency floating range, the target PLC device generates an alarm message to prompt a user that the device is abnormal.

9. The product particle size control method according to claim 2 or 5, characterized in that: The granularity control table is generated in the following manner: For each product, fitting is performed based on the historical particle size analysis data of the product to obtain a function curve representing the relationship between the particle size of the product and the classification wheel frequency; Determining, based on the function curve, a compliance range of the product, a plurality of reference range groups and their corresponding frequency adjustment values, an error threshold, and an error reference value, to obtain particle size control information of the product; The particle size control table is generated based on the particle size control information of each product.

10. A system, characterized in that: Including particle size detector, multiple jet mills and PLC equipment corresponding to each jet mill; The particle size detector is used to collect particle samples of the product in each air jet mill device in turn, and determine the current particle size based on the particle samples of the product in the target air jet mill device collected this time, and send the current particle size to the target PLC device corresponding to the target air jet mill device; The target PLC device is used to determine whether a preset frequency adjustment condition is met based on the particle size error between the current particle size and the particle size index of the product, and when the frequency adjustment condition is met, adjust the wheel stage frequency of the target air flow mill device to control the particle size of the product.

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