Wind speed control method, device and equipment in cotton processing and medium

Abstract

The invention relates to a wind speed control method, device and equipment in cotton processing and a medium. The method comprises the following steps: based on a fiber layer process target, pipeline structure parameters and fiber raw material characteristic parameters, calculating a theoretical wind speed value corresponding to the fiber layer process target to obtain a target wind speed gradient reference curve; based on the real-time fiber layer distribution image, comparing the fiber layer morphological characteristics with the fiber layer process target to obtain a fiber layer morphological deviation description; performing fine adjustment on the target wind speed gradient reference curve based on the fiber layer form deviation description to obtain an optimized dynamic wind speed gradient target curve; performing difference calculation on a real-time wind speed measurement value and the optimized dynamic wind speed gradient target curve to obtain a real-time wind speed deviation field; and performing optimization calculation based on the real-time wind speed deviation field and the feedforward interference signal to obtain a coordinated regulation instruction set. By adopting the method, a stable dynamic wind field can be constructed, and various fluctuation interferences are avoided.

Description

Technical Field

[0001] This invention belongs to the field of intelligent control, and in particular relates to a method, device, equipment and medium for wind speed control in cotton processing. Background Technology

[0002] With the development of modern fluid dynamics and precision control technology, spatial programming and dynamic stabilization of airflow fields have become possible. This technological direction provides a new approach to resolving the process contradiction between fiber transport and enrichment in cotton processing, leading to the current advanced control method based on segmented airflow field construction and global feedback regulation. Traditional technologies typically employ static airflow fields based on fixed-frequency fans and manually adjusted dampers. Engineers pre-set a fixed combination of damper openings and fan speeds based on experience, attempting to create a fixed airflow velocity distribution within the pipeline to cope with all production conditions. However, this traditional approach faces dual limitations, both static and dynamic. At the static level, a single fixed airflow velocity distribution cannot adapt to the differentiated mechanical requirements of fibers at different stages such as transport, opening, and settling, leading to process bottlenecks. At the dynamic level, the system completely lacks the ability to compensate for real-time disturbances such as power grid fluctuations and raw material changes; the pre-set static equilibrium quickly fails under disturbance, resulting in airflow instability and process parameter drift. These two problems together restrict further improvements in production quality and efficiency. Summary of the Invention

[0003] Therefore, it is necessary to provide a method, device, equipment, and medium for controlling wind speed in cotton processing that can construct a dynamic wind field and avoid fluctuation interference, in order to address the above-mentioned technical problems.

[0004] In a first aspect, this application provides a method for controlling wind speed in cotton processing, including:

[0005] Based on the fiber layer process objectives, pipeline structure parameters, and fiber raw material characteristic parameters, the theoretical wind speed value corresponding to the fiber layer process objectives is calculated, and the target wind speed gradient benchmark curve is obtained.

[0006] Based on real-time fiber layer distribution images, the morphological features of the fiber layer are compared with the fiber layer process targets to obtain a description of the fiber layer morphological deviation.

[0007] Based on the description of fiber layer morphology deviation, the target wind speed gradient baseline curve is fine-tuned to obtain the optimized dynamic wind speed gradient target curve.

[0008] The difference between the real-time wind speed measurement and the optimized dynamic wind speed gradient target curve is calculated to obtain the real-time wind speed deviation field;

[0009] Based on the real-time wind speed deviation field and feedforward interference signal, optimization calculations are performed to obtain a coordinated adjustment command set; the coordinated adjustment command set is used to instruct each section of the damper to adjust the blade angle.

[0010] Furthermore, based on the fiber layer process objectives, pipeline structure parameters, and fiber raw material characteristic parameters, the theoretical wind speed value corresponding to the fiber layer process objectives is calculated, and the target wind speed gradient baseline curve is obtained, including:

[0011] By inputting the fiber layer process objectives and fiber raw material characteristic parameters into the pre-trained fiber settling dynamic model, the ideal vertical settling velocity range of the fiber is obtained.

[0012] Based on the ideal vertical settling velocity range of the fiber and the pipe structure parameters, a fluid dynamics deduction was performed to obtain the wind speed-location relationship curve;

[0013] Based on process constraints, the wind speed-location relationship curve is adjusted for compliance to obtain the target wind speed gradient baseline curve; the process constraints include the upper limit of safe wind speed for equipment, the lower limit of wind speed for anti-clogging, and the wind speed requirement for impurity removal.

[0014] Furthermore, based on the ideal vertical settling velocity range of the fiber and the pipe structure parameters, fluid dynamics deductions were performed to obtain wind speed-location relationship curves, including:

[0015] Extract the upper limit of the ideal vertical settling velocity range of the fiber, and based on the upper limit, set the horizontal wind speed at the pipe outlet according to the principle of conservation of momentum to obtain the theoretical wind speed value at the outlet.

[0016] Based on the suspension velocity in the characteristic parameters of fiber raw materials, the suspension velocity is amplified and calculated to obtain the theoretical inlet wind speed value;

[0017] The pipe length is extracted from the pipe structure parameters, and based on the theoretical wind speed at the outlet and inlet and the pipe length, a theoretical curve is fitted according to the following baseline curve formula to obtain the wind speed-location relationship curve:

[0018]

[0019] in, Let x be the target wind speed at the axial position x of the pipeline, where x is the axial coordinate of the pipeline and L is the pipeline length. This is the theoretical wind speed at the inlet. This is the theoretical wind speed at the outlet. This is the curve shape index.

[0020] Furthermore, based on the description of fiber layer morphology deviation, the target wind speed gradient baseline curve is fine-tuned to obtain an optimized dynamic wind speed gradient target curve, including:

[0021] Based on the preset curve adjustment rules, the fiber layer morphology deviation description is mapped to the corresponding adjustment strategy to obtain the benchmark adjustment strategy.

[0022] Based on the baseline adjustment strategy, the curve shape index is numerically adjusted to obtain a new curve shape index;

[0023] Based on the upper and lower limits of the parameters, the new curve shape index is protected from out-of-bounds errors, and the optimized curve shape index is obtained.

[0024] The optimized curve shape index is substituted into the baseline curve formula to calculate the reconstructed wind speed position relationship curve.

[0025] Based on process constraints, the reconstructed wind speed location relationship is adjusted in compliance with regulations to obtain the optimized dynamic wind speed gradient target curve.

[0026] Furthermore, based on real-time fiber layer distribution images, the morphological features of the fiber layer are compared with the fiber layer process targets to obtain a description of the fiber layer morphological deviation, including:

[0027] Based on the real-time fiber layer distribution image, a preprocessing operation is performed to obtain a preprocessed image, and the preprocessed image is then segmented to obtain an image of the effective region of the fiber layer.

[0028] Based on the effective region image of the fiber layer, region segmentation is performed to obtain the central region image, transition region image, and edge region image;

[0029] Based on the central region image, transition region image and edge region image, the average thickness of each region is calculated, and based on the effective region image of the fiber layer, the overall thickness standard deviation of the corresponding fiber layer is calculated.

[0030] The average thickness is compared with the preset thickness threshold group to obtain the conclusion of piled voids, and the overall thickness standard deviation is compared with the preset uniformity standard to obtain the conclusion that the uniformity meets the standard.

[0031] By integrating the conclusions on accumulated voids and uniformity compliance, a description of the morphological deviation of the fiber layer is obtained.

[0032] Furthermore, after optimizing the calculation based on the real-time wind speed deviation field and feedforward disturbance signal to obtain the coordinated regulation instruction set, it also includes:

[0033] A PLC-based counter is used to acquire the real-time speed pulse signal of the motor spindle and obtain the actual speed measurement value of the motor spindle.

[0034] Based on the coordinated adjustment instruction set, the target speed of the corresponding motor spindle is extracted; and based on the difference between the actual speed measurement value and the target speed, a frequency adjustment instruction is generated; the frequency adjustment instruction is used to instruct the corresponding electric actuator to change the frequency and voltage of the output power supply.

[0035] The frequency adjustment command is transmitted to the corresponding electric actuator to obtain the updated physical wind field.

[0036] Secondly, this application also provides a wind speed control device for cotton processing, comprising:

[0037] The benchmark module is used to calculate the theoretical wind speed value corresponding to the fiber layer process target based on the fiber layer process target, pipeline structure parameters and fiber raw material characteristic parameters, and obtain the target wind speed gradient benchmark curve.

[0038] The deviation module is used to compare the morphological features of the fiber layer with the process target of the fiber layer based on the real-time fiber layer distribution image to obtain a description of the fiber layer morphological deviation.

[0039] The adjustment module is used to fine-tune the target wind speed gradient baseline curve based on the fiber layer morphology deviation description, so as to obtain the optimized dynamic wind speed gradient target curve.

[0040] The real-time module is used to calculate the difference between the real-time wind speed measurement value and the optimized dynamic wind speed gradient target curve to obtain the real-time wind speed deviation field.

[0041] The optimization module is used to perform optimization calculations based on the real-time wind speed deviation field and feedforward interference signal to obtain a coordinated adjustment instruction set; the coordinated adjustment instruction set is used to instruct each section of the damper to adjust the blade angle.

[0042] Thirdly, this application also provides a computer device including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement any step of the method provided in the first aspect of this application.

[0043] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any step of the method provided in the first aspect of this application.

[0044] The aforementioned wind speed control method, device, equipment, and medium in cotton processing calculate the theoretical wind speed value corresponding to the fiber layer process target based on the fiber layer process target, pipeline structure parameters, and fiber raw material characteristic parameters, obtaining the target wind speed gradient baseline curve. Based on real-time fiber layer distribution images, the fiber layer morphological characteristics are compared with the fiber layer process target to obtain a fiber layer morphological deviation description. Based on the fiber layer morphological deviation description, the target wind speed gradient baseline curve is fine-tuned to obtain an optimized dynamic wind speed gradient target curve. The difference between the real-time wind speed measurement value and the optimized dynamic wind speed gradient target curve is calculated to obtain the real-time wind speed deviation field. Based on the real-time wind speed deviation field and feedforward interference signals, optimization calculations are performed to obtain a coordinated adjustment instruction set. The coordinated adjustment instruction set is used to instruct the adjustment of the blade angle of each section of the damper. It can adapt to the differentiated mechanical requirements of fibers in different stages such as conveying, opening, and settling, and construct a dynamic wind field. It has corresponding compensation capabilities for real-time interference such as power grid fluctuations and raw material changes, avoiding wind speed instability and process index drift caused by power grid fluctuations and feed rate fluctuations. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a schematic diagram of the flow of a wind speed control method in cotton processing according to an embodiment of the present invention;

[0047] Figure 2 This is a schematic diagram of the structure of a wind speed control device in cotton processing provided in an embodiment of the present invention. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0049] In one embodiment, such as Figure 1 As shown, a wind speed control method in cotton processing is provided. This embodiment illustrates the application of this method to a terminal. It is understood that this method can also be applied to a server, and furthermore, to a system including both a terminal and a server, and is implemented through interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0050] Step 101: Based on the fiber layer process target, pipeline structure parameters and fiber raw material characteristic parameters, calculate the theoretical wind speed value corresponding to the fiber layer process target, and obtain the target wind speed gradient baseline curve.

[0051] The fiber layer process objective refers to the quality standard that the final fiber layer should achieve at the end of the cotton processing, including idealized requirements for key quality indicators such as uniformity, specific thickness, and bulkiness. Pipeline structure parameters refer to the physical geometric parameters of the air duct used to transport the fibers, specifically including the total length of the duct, the cross-sectional dimensions and shape of the inlet and outlet, the duct's direction, and possible inclination angles. Fiber raw material characteristic parameters refer to the physical properties of the cotton fibers themselves, mainly including fiber length, fineness, surface characteristics, and suspension velocity—the minimum wind speed required for the fibers to remain suspended in still air. The theoretical wind speed value refers to the wind speed value theoretically required at a specific location within the duct to achieve a specific process objective, calculated based on physical principles and mathematical models. The target wind speed gradient baseline curve is a curve defining the target wind speed that should be achieved at every point along the duct axis, clearly depicting the ideal law and gradient of how the wind speed should change from the duct inlet to the outlet. The terminal inputs the desired final state of the fiber as required by the fiber layer process and the fiber properties described by the fiber raw material characteristic parameters into a pre-established and trained fiber settling dynamic model. The model can simulate the movement of the fiber in the airflow and calculate the ideal settling velocity range of the fiber when gravity and aerodynamics are in equilibrium. Based on the calculated ideal settling velocity range and the physical space defined by the pipe structure parameters, theoretical deductions are performed using the basic principles of fluid mechanics. To ensure that the fiber can settle smoothly and uniformly at the pipe outlet, the horizontal wind speed at the outlet needs to match the fiber settling velocity. To effectively grab and start the fiber from the feeding mechanism at the pipe inlet, the inlet wind speed needs to be amplified according to the fiber's suspension velocity. Through a series of deductions, a preliminary theoretical curve describing the relationship between wind speed and pipe position is obtained. Actual process constraints are introduced, and this theoretically calculated wind speed-position relationship curve is reviewed and adjusted for compliance to ensure that the final curve is not only theoretically correct but also safe and feasible in actual production. After this adjustment, the target wind speed gradient benchmark curve is output as the initial control benchmark.

[0052] Step 102: Based on the real-time fiber layer distribution image, compare the fiber layer morphological features with the fiber layer process target to obtain a description of the fiber layer morphological deviation.

[0053] Specifically, a real-time fiber layer distribution image refers to a two-dimensional digital image of the formed fiber layer, acquired in real time by an industrial camera or image sensor installed on the production line. It visually reflects the actual distribution state of the fiber layer at the current moment. Fiber layer morphology characteristics refer to parameters extracted from the real-time fiber layer distribution image through a series of image processing and analysis techniques that quantify the physical morphology of the fiber layer. These characteristics typically include statistical information such as the thickness and density of the fiber layer in different regions. A fiber layer morphology deviation description is a qualitative or quantitative conclusion drawn from the analysis and comparison of the difference between the actual morphology of the current fiber layer and the desired fiber layer process target. Optionally, it may include excessive fiber accumulation in the central region, insufficient fiber coverage in the left edge region, or overall thickness uniformity exceeding the allowable range. The terminal preprocesses the acquired real-time fiber layer distribution images, including removing image noise and enhancing contrast, to improve image quality and facilitate subsequent analysis. Using image segmentation algorithms, the effective fiber layer region is precisely separated from the background, resulting in a clean image of the effective fiber layer region. The segmented effective region is further analyzed into multiple regions of interest, including central, transition, and edge regions. For each region, its average thickness or average grayscale value is calculated to characterize the fiber density. The overall thickness standard deviation of the entire effective region image is calculated to quantify the overall uniformity of the fiber layer. The calculated values ​​collectively constitute the current fiber layer morphological characteristics. The extracted actual morphological feature values ​​are compared one by one with the preset standard values ​​in the fiber layer process objectives. Through comparison, it is determined whether the fiber layer has specific problems such as accumulation, voids, or unevenness. These judgments are then integrated into a comprehensive and concise description of the fiber layer morphological deviation.

[0054] Step 103: Based on the description of fiber layer morphology deviation, fine-tune the target wind speed gradient baseline curve to obtain the optimized dynamic wind speed gradient target curve.

[0055] Specifically, optimizing the dynamic wind speed gradient target curve involves fine-tuning the initial target wind speed gradient baseline curve based on the quality issues revealed by the fiber layer morphology deviation description. This results in a new target curve that is dynamic and optimized, meaning it updates in real-time based on feedback from actual production performance to adapt to specific and potentially changing operating conditions. The terminal internally stores a set of curve adjustment rules, which clearly define the specific wind speed adjustment strategy corresponding to different fiber layer morphology deviation descriptions. Using the fiber layer morphology deviation description as input, the rule base is queried, mapping it to a specific adjustment strategy. This strategy translates into a modification instruction for a key parameter in the baseline curve's mathematical formula. A new parameter value is calculated based on this instruction, and after ensuring the new parameter value does not exceed a preset safety range, the entire wind speed curve is recalculated using the optimized parameter value. This newly generated curve undergoes another compliance check of the process constraints, ultimately resulting in an optimized dynamic wind speed gradient target curve that responds to the current fiber layer quality deviation while absolutely guaranteeing production safety and feasibility.

[0056] Step 104: Calculate the difference between the real-time wind speed measurement and the optimized dynamic wind speed gradient target curve to obtain the real-time wind speed deviation field.

[0057] Real-time wind speed measurements refer to the actual wind speed values ​​measured at the current moment by wind speed sensors installed at different locations within the pipeline, reflecting the true state of the physical wind field. The real-time wind speed deviation field is a collection of data describing the difference between the real-time wind speed measurements and the target value set by the optimized dynamic wind speed gradient target curve at each measurement point along the pipeline, clearly indicating the specific spatial difference between the current actual wind field and the ideal wind field. The terminal synchronously acquires real-time wind speed measurements from all wind speed sensors and the theoretical target wind speed value corresponding to each sensor location on the optimized dynamic wind speed gradient target curve. At each measurement location point, a simple arithmetic subtraction operation is performed, and the deviation values ​​from all locations within the pipeline are collected to form the real-time wind speed deviation field. This field precisely indicates in which section of the pipeline the wind speed is too high, too low, or just within the target range, as well as the specific magnitude of the deviation.

[0058] Step 105: Based on the real-time wind speed deviation field and feedforward interference signal, perform optimization calculations to obtain a coordinated adjustment instruction set; the coordinated adjustment instruction set is used to instruct each section of the damper to adjust the blade angle.

[0059] Among them, the real-time wind speed deviation field refers to the set of differences between the real-time wind speed measurement values ​​and the target values ​​set at each measurement point along the pipeline, indicating the static spatial difference between the current actual wind field and the ideal wind field. The feedforward interference signal refers to the mass or volume of cotton fibers entering the pipeline per unit time, measured or estimated in real time by sensors. It is a key process variable that can be measured in advance, and its changes directly and significantly interfere with the wind field state within the pipeline. Optimization calculation is a mathematical solution process aimed at finding an optimal solution that achieves the preset target while satisfying a series of constraints. This optimization considers both current deviations and future interferences. The coordinated adjustment command set is a set of specific control commands sent to each actuator after overall optimization calculation. Coordination emphasizes that the commands are calculated holistically, ensuring that the adjustment actions of each damper are coordinated. The terminal synchronously processes feedback signals, reflecting the deviations that have already occurred, namely the inconsistency between the current wind field and the target, as well as the feedforward signals, which indicate impending interference. Because cotton is the main load of airflow in the pipeline, any increase or decrease in the amount of cotton fed will immediately change the resistance characteristics and the dynamic characteristics of the fiber-air two-phase flow in the pipeline, thus causing fluctuations in wind speed. The real-time wind speed deviation field and the cotton feeding signal are input together into a dynamic mathematical model that can describe how changes in cotton feeding affect wind speed. Based on the current cotton feeding and its changing trend, the optimization algorithm will predict how the wind speed will change in the near future if no intervention is taken. It considers how to eliminate the existing deviations shown in the real-time wind speed deviation field and finds an optimal set of coordinated adjustment instructions among all possible adjustment schemes. The goal of the instructions is to compensate for the predictive interference caused by changes in cotton feeding, correct the existing wind speed deviation, and ensure that the entire control process is smooth, energy-efficient, and meets all equipment safety constraints.

[0060] The wind speed control method in cotton processing provided in this embodiment calculates the theoretical wind speed value corresponding to the fiber layer process target based on the fiber layer process target, pipeline structure parameters, and fiber raw material characteristic parameters, obtaining the target wind speed gradient baseline curve. Based on the real-time fiber layer distribution image, the fiber layer morphological characteristics are compared with the fiber layer process target to obtain a fiber layer morphological deviation description. Based on the fiber layer morphological deviation description, the target wind speed gradient baseline curve is fine-tuned to obtain an optimized dynamic wind speed gradient target curve. The difference between the real-time wind speed measurement value and the optimized dynamic wind speed gradient target curve is calculated to obtain the real-time wind speed deviation field. Based on the real-time wind speed deviation field and the feedforward interference signal, optimization calculations are performed to obtain a coordinated adjustment instruction set. The coordinated adjustment instruction set is used to instruct the adjustment of the blade angle of each section of the damper. Through the above methods, it is possible to adapt to the differentiated mechanical requirements of fibers in different stages such as conveying, opening, and settling, and construct a dynamic wind field. It has corresponding compensation capabilities for real-time interference such as power grid fluctuations and raw material changes, avoiding wind speed instability and process index drift caused by power grid fluctuations and feed rate fluctuations.

[0061] In one embodiment, based on the fiber layer process objectives, pipeline structure parameters, and fiber raw material characteristic parameters, the theoretical wind speed value corresponding to the fiber layer process objectives is calculated to obtain the target wind speed gradient baseline curve, including:

[0062] Step 201: Input the fiber layer process objectives and fiber raw material characteristic parameters into the pre-trained fiber settling dynamic model to obtain the ideal vertical settling velocity range of the fiber.

[0063] Among them, the pre-trained fiber settling dynamics model is a mathematical model based on fluid mechanics, aerodynamics, and fiber materials science. It has been trained using a large amount of historical experimental data, enabling it to simulate and predict the motion behavior of fibers in airflow, and is a core computational component. The ideal vertical settling velocity range of fibers refers to the range of velocity at which a single fiber or a small group of fibers settles uniformly in a static or near-static vertical airflow when gravity and air resistance are in equilibrium. The range is usually composed of a lower limit and an upper limit, describing the ideal conditions required for stable fiber settling. The terminal inputs two key pieces of information into the pre-trained fiber settling dynamic model. The fiber layer process target provides the endpoint requirements for fiber settling, including the desired bulkiness or uniformity of the fiber layer. The target indirectly constrains the stress state that the fiber should experience during settling. The fiber raw material characteristic parameters provide the inherent properties of the fiber, including fiber length, density, surface friction coefficient, etc., which directly determine the stress state of the fiber in the air. After receiving the input, the model will perform calculations and simulations based on the force balance equation calculated by considering the drag coefficient of fiber morphology, and output a velocity range, namely the ideal vertical settling velocity range of the fiber.

[0064] Step 202: Based on the ideal vertical settling velocity range of the fiber and the pipe structure parameters, perform fluid dynamics deduction to obtain the wind speed-location relationship curve.

[0065] Specifically, fluid mechanics deduction refers to the process of logical reasoning and mathematical calculation using the basic principles of fluid mechanics. The wind speed-position relationship curve is a theoretical curve that uses the axial position of the pipe as the independent variable and the target wind speed at that position as the dependent variable. It describes, in the form of a function or discrete points, the ideal law of how the wind speed should change from the pipe inlet to the outlet. The target horizontal wind speed at the pipe outlet is set to be close to or slightly lower than the upper limit of the ideal vertical settling velocity range of the fiber. This ensures that the fiber loses sufficient horizontal momentum at the outlet and relies mainly on gravity settling, thus achieving smooth and uniform laying. The inlet wind speed needs to be sufficiently high to overcome the inertia of the fiber and effectively draw it in and transport it. This is usually calculated based on the fiber's suspension velocity to ensure strong initial transport and opening capabilities. At the end, based on the pipe structural parameters, a preset benchmark curve formula is used to fit the smooth transition from the inlet wind speed to the outlet wind speed. By substituting the determined parameters into the formula, the target wind speed at a series of locations within the pipe is calculated, thus plotting the complete wind speed-position relationship curve.

[0066] Step 203: Based on the process constraints, the wind speed position relationship curve is adjusted for compliance to obtain the target wind speed gradient baseline curve; the process constraints include the upper limit of the safe wind speed of the equipment, the lower limit of the wind speed for preventing blockage, and the wind speed requirement for removing impurities.

[0067] Specifically, process constraints refer to the physical limitations and safety rules that must be followed in actual industrial production. In this embodiment, these mainly include the upper limit of safe wind speed for equipment, which means that the wind speed inside the pipeline cannot exceed a certain maximum value to prevent excessive wear of equipment, power overload, or excessive noise and vibration; the lower limit of anti-clogging wind speed, which means that the wind speed at any point inside the pipeline cannot be lower than a certain minimum value to prevent fibers from depositing and tangling in the pipeline due to excessively slow wind speed, ultimately leading to blockage; and the requirement for impurity removal wind speed, which means that a higher wind speed needs to be maintained in certain sections during processing to effectively separate impurities such as dust and short fibers from qualified fibers using airflow. The target wind speed gradient baseline curve is an engineering-corrected, operable wind speed control baseline that conforms to both theoretical ideals and satisfies all actual production constraints. The terminal compares and reviews the wind speed position relationship curve with the process constraints, checking whether every point on the theoretical curve falls within the safety window defined by the constraints. For any position x, it checks whether the following conditions are met: the lower limit of the anti-clogging wind speed is less than the set wind speed, and the set wind speed is less than the upper limit of the equipment's safe wind speed. It also checks whether the curve meets the special impurity removal wind speed requirements. If any part of the theoretical curve violates the above constraints, it is adjusted. If the theoretical wind speed value exceeds the upper limit of the equipment's safe wind speed, the wind speed in that area is forcibly limited to below the upper limit value; if the theoretical wind speed value is lower than the lower limit of the anti-clogging wind speed, the wind speed in that area is increased to above the lower limit value. To ensure the impurity removal effect, the curve may be raised in specific sections to make its wind speed meet the requirements. During adjustment, the overall trend and smoothness of the curve's change will be maintained as much as possible.

[0068] This embodiment combines the local physical quantity of settling velocity with the overall spatial structure of the pipeline to derive a complete and theoretical wind speed control baseline, providing a benchmark for the construction of dynamic wind fields and effectively enhancing the engineering significance of wind speed control in cotton processing.

[0069] In one embodiment, based on the ideal vertical settling velocity range of the fiber and the pipe structure parameters, a fluid dynamics deduction is performed to obtain a wind speed-location relationship curve, including:

[0070] Step 301: Extract the upper limit of the ideal vertical settling velocity range of the fiber, and based on the upper limit, set the horizontal wind speed at the pipe outlet according to the principle of conservation of momentum to obtain the theoretical wind speed value at the outlet.

[0071] Specifically, the upper limit of the ideal vertical settling velocity range for the fiber is the maximum value taken from this range, representing the limiting velocity at which the fiber can stably and rapidly settle in the vertical direction. The principle of conservation of momentum is a fundamental law in fluid mechanics and physics. In this embodiment, it is simplified to the point that at the pipe outlet, the fiber's momentum in the horizontal direction should be reduced to a level consistent with its settling momentum in the vertical direction, thus allowing the fiber's motion direction to smoothly transition from horizontal transport to vertical settling. The theoretical outlet wind speed is a target horizontal wind speed calculated based on physical principles and set at the pipe outlet to achieve ideal fiber settling. The terminal extracts the upper limit value from the ideal vertical settling velocity range of the fibers. The upper limit value is selected to ensure that even fibers with slower settling can be effectively separated at the outlet. Based on the principle of conservation of momentum, the target horizontal wind speed at the pipe outlet is set to be equal to or slightly lower than the extracted upper limit value of settling velocity. The physical meaning is that when the fiber reaches the outlet, its horizontal movement speed has decayed to a level comparable to the vertical settling velocity. At this time, the effect of gravity begins to dominate, and the fiber can effectively break away from the horizontal airflow and achieve stable, vertical settling, thereby forming a uniform fiber layer.

[0072] Step 302: Based on the suspension velocity in the fiber raw material characteristic parameters, the suspension velocity is amplified and calculated to obtain the inlet theoretical wind speed value.

[0073] Suspension velocity is a key physical quantity among the characteristic parameters of fiber raw materials. It refers to the wind speed at which the fiber remains suspended in a vertical airflow when the drag force of the air on the fiber is exactly equal to the fiber's own weight. Magnification calculation refers to an arithmetic operation that multiplies a baseline value by a coefficient greater than 1, with the aim of adding a certain margin to the baseline value. The theoretical inlet wind speed value is the target horizontal wind speed set at the duct inlet for effective fiber intake and initiation of fiber transport, calculated based on the fiber's basic properties and engineering experience. The terminal extracts the fiber suspension velocity from the fiber raw material characteristic parameters. The suspension velocity is the minimum wind speed required for the fiber to overcome gravity and is the theoretical basis for determining the inlet wind speed. The suspension velocity is amplified by multiplying it by an amplification factor greater than 1, for example, 1.5 times or 2.0 times. The amplification factor is determined based on engineering experience. Its main purpose is to ensure reliable delivery, provide sufficient wind force to overcome the inertia of the fiber, the entanglement between fibers, and the friction between the fiber and the pipe wall, and ensure that the fiber can be reliably sucked in and begin horizontal movement; to achieve initial loosening. A sufficiently high inlet wind speed helps to break up fibers that may clump together, playing a role in initial loosening. The result obtained through amplification calculation is set as the theoretical inlet wind speed value.

[0074] Step 303: Extract the pipe length from the pipe structure parameters, and based on the theoretical wind speed at the outlet, the theoretical wind speed at the inlet, and the pipe length, perform theoretical curve fitting according to the following benchmark curve formula to obtain the wind speed-location relationship curve:

[0075]

[0076] in, Let x be the target wind speed at the axial position x of the pipeline, where x is the axial coordinate of the pipeline and L is the pipeline length. This is the theoretical wind speed at the inlet. This is the theoretical wind speed at the outlet. This is the curve shape index.

[0077] Specifically, pipe length is a fundamental dimensional parameter extracted from pipe structural parameters, referring to the straight-line distance from pipe inlet to outlet. The baseline curve formula is a predefined mathematical formula used to describe the attenuation of wind speed from pipe inlet to outlet. The curve shape index is a key exponential parameter in the baseline curve formula, determining the attenuation pattern of wind speed from inlet to outlet. Optionally, when γ=1, it represents linear attenuation; when γ>1, the curve attenuates faster near the outlet; when γ<1, the curve attenuates rapidly near the inlet and then flattens out near the outlet. The wind speed position relationship curve is a continuous curve calculated by substituting specific parameters into the baseline curve formula, precisely representing the theoretical target wind speed value at each location along the pipe axis. The terminal extracts the pipe length from the pipe structure parameters, and uses the theoretical wind speed at the outlet, the theoretical wind speed at the inlet, and the pipe length as known parameters. These are then substituted into the baseline curve formula. The formula also includes an unknown parameter, the curve shape index, which can be set to 1 under initial conditions. After the parameters are substituted, the formula is used to calculate the target wind speed for each point along the pipe axis. Connecting the points generates a complete and smooth wind speed position relationship curve.

[0078] This embodiment connects the target wind speeds at the two boundary points of the inlet and outlet through a reasonable mathematical model into a continuously changing target wind speed curve that runs through the entire pipeline. This provides a complete and theoretical spatial distribution guide for the construction of the wind field within the pipeline. At this point, the curve shape index is the initial value, and it will be optimized and adjusted according to the actual production effect, which effectively improves the reliability of the dynamic wind field.

[0079] In one embodiment, based on the fiber layer morphology deviation description, the target wind speed gradient baseline curve is fine-tuned to obtain an optimized dynamic wind speed gradient target curve, including:

[0080] Step 401: Based on the preset curve adjustment rules, the fiber layer morphology deviation description is mapped to the corresponding adjustment strategy to obtain the benchmark adjustment strategy.

[0081] The preset curve adjustment rules are a set of predefined logical rules in the form of a knowledge base, clearly specifying the adjustment direction for the wind speed curve shape corresponding to different types of fiber layer quality deviations. The fiber layer morphology deviation description is a qualitative or quantitative conclusion regarding the difference between the current actual fiber layer morphology and the ideal target. Mapping refers to the process of converting an input value into an output value according to a certain correspondence. In this embodiment, it is the conversion of the deviation description into an adjustment strategy based on the adjustment rules. The baseline adjustment strategy is a general instruction that specifies the direction of adjustment to the wind speed curve to correct the currently identified fiber layer morphology deviation. The terminal takes the received fiber layer morphology deviation description as input, matches it against the internally stored preset curve adjustment rule knowledge base, traverses the rule base, finds one or more rules that best match the current deviation description, and outputs a corresponding, general adjustment instruction, i.e., the baseline adjustment strategy, based on the rule.

[0082] Step 402: Based on the baseline adjustment strategy, the curve shape index is numerically adjusted to obtain a new curve shape index.

[0083] Specifically, the curve shape index is a key parameter in the baseline curve formula. Its value determines the rate of wind speed attenuation from the inlet to the outlet and the curve shape. Numerical adjustment refers to the mathematical operation of increasing or decreasing the original value. The new curve shape index is the result of preliminary numerical modifications to the original curve shape index based on the baseline adjustment strategy. The terminal then makes specific numerical adjustments to the currently used curve shape index according to the baseline adjustment strategy. If the strategy is to increase the wind speed attenuation gradient or make the curve more convex, meaning a faster decrease in wind speed in the first half of the duct, the value will be increased. If the strategy is to decrease the wind speed attenuation gradient or make the curve more concave, meaning a slower decrease in wind speed in the second half of the duct, or a smoother overall change, the value will be decreased. The adjustment magnitude is usually based on experience or a preset step size. Through this operation, a new curve shape index is obtained.

[0084] Step 403: Based on the upper and lower limit constraints of the parameters, the new curve shape index is protected against out-of-bounds errors, and the optimized curve shape index is obtained.

[0085] Specifically, the upper and lower limit constraints of the parameters are the safe range of values ​​set for the curve shape index. This range ensures that the generated wind speed curve is physically reasonable and controllable. Out-of-bounds protection is a safety programming mechanism that forcibly restricts the value of a variable to the boundary of its preset reasonable range when the value exceeds it, preventing unrealistic or dangerous results. The optimized curve shape index is the final usable curve shape index that has passed the out-of-bounds protection check and is ensured to fall within a safe and reasonable range. The terminal compares the new curve shape index with the preset upper and lower limit constraints. If the new index is within the constraint range, it is directly adopted as the optimized curve shape index; if the new index exceeds the set upper limit, it is forcibly set to the upper limit value; if the new index is below the set lower limit, it is forcibly set to the lower limit value. The index after out-of-bounds protection processing is the optimized curve shape index.

[0086] Step 404: Substitute the optimized curve shape index into the baseline curve formula for calculation to obtain the reconstructed wind speed position relationship curve.

[0087] The reconstructed wind speed-location relationship curve is a new, optimized wind speed-location relationship curve recalculated using the optimized curve shape index and other fixed parameters. The terminal substitutes the optimized curve shape index, along with known parameters such as the theoretical wind speed at the pipe inlet, the theoretical wind speed at the pipe outlet, and the pipe length, into the baseline curve formula. For a series of axial position points from the pipe inlet to the outlet, the target wind speed at each position is calculated. Connecting all the calculated points generates a new reconstructed wind speed-location relationship curve.

[0088] Step 405: Based on process constraints, make compliance adjustments to the reconstructed wind speed location relationship to obtain the optimized dynamic wind speed gradient target curve.

[0089] The process constraints include the upper limit of safe wind speed for equipment, the lower limit of anti-clogging wind speed, and the wind speed requirement for impurity removal. Compliance adjustment refers to checking whether a curve meets all constraints and correcting any non-compliance parts to ensure compliance. The optimized dynamic wind speed gradient target curve is a final, executable wind speed control target curve that responds to feedback information from fiber layer morphology deviations and fully complies with all process safety constraints. The terminal will perform a final comparison between the reconstructed wind speed position relationship curve and the process constraints, checking whether each point on the new curve satisfies the requirement that the set wind speed is between the lower limit of anti-clogging wind speed and the upper limit of safe wind speed for equipment. It will also check whether specific section wind speed requirements are met. If any part of the new curve violates the constraints, it will be fine-tuned. Optionally, parts exceeding the safe upper limit will be pushed down to the upper limit, and parts below the anti-clogging lower limit will be raised to the lower limit. The adjustment process will try to maintain the overall trend of the curve. After compliance adjustment, the resulting curve is the optimized dynamic wind speed gradient target curve.

[0090] This embodiment generates the optimal wind speed control scheme that can be obtained under the current operating conditions after comprehensively considering theoretical ideals, real-time quality feedback and actual production constraints, and uses it as a precise target for wind speed tracking, effectively improving the reliability and feasibility of dynamic wind fields.

[0091] In one embodiment, based on a real-time fiber layer distribution image, the morphological features of the fiber layer are compared with the fiber layer process objectives to obtain a description of the fiber layer morphological deviation, including:

[0092] Step 501: Based on the real-time fiber layer distribution image, perform preprocessing operations to obtain a preprocessed image, and then perform image segmentation on the preprocessed image to obtain an effective region image of the fiber layer.

[0093] The real-time fiber layer distribution image refers to the raw digital image captured online by an industrial camera, reflecting the actual distribution of the current fiber layer. Preprocessing refers to a series of operations performed on the raw image to improve image quality and facilitate subsequent analysis. Common operations include filtering and noise reduction to eliminate random noise introduced by the image sensor; contrast enhancement to make the fiber layer more distinct from the background; and brightness correction to eliminate the effects of uneven lighting. The preprocessed image is an optimized, higher-quality image that retains key information about the fiber layer while reducing irrelevant interference. Image segmentation is an image processing technique aimed at dividing an image into different regions, typically foreground and background. In this embodiment, the goal is to separate the fiber layer region from background regions such as the conveyor belt and equipment frame. The effective fiber layer region image is a binary image or mask obtained after image segmentation, clearly identifying all pixel regions belonging to the fiber layer, while excluding the background region. The terminal performs preprocessing operations on the acquired real-time fiber layer distribution image, calls predefined image processing algorithms to perform denoising and enhancement, and performs image segmentation on the preprocessed image. This can be achieved by setting an appropriate grayscale threshold or using more advanced edge detection and region growing algorithms. All pixels representing the fiber layer are automatically identified and marked, thereby accurately extracting the fiber layer from the complex background. The result is the effective area image of the fiber layer, which contains only information about the fiber layer itself.

[0094] Step 502: Based on the effective region image of the fiber layer, perform region segmentation to obtain the central region image, transition region image, and edge region image.

[0095] Region segmentation refers to the process of further subdividing the defined effective region image of the fiber layer into multiple sub-regions based on its geometric features or location information. The central region image, transition region image, and edge region image are subsets of the effective region image of the fiber layer. The central region image refers to a core region near the geometric center of the effective region of the fiber layer. The edge region image refers to the outermost boundary region of the effective region of the fiber layer. The transition region image refers to the intermediate region between the central region and the edge region. The terminal performs region segmentation on the effective region image of the fiber layer based on the circumscribed rectangle or minimum enclosing circle of the effective region. Optionally, the center point of the fiber layer region is first determined, and a rectangle or circle centered on this point with an area approximately proportional to the entire effective region is drawn as the central region image. An annular band is drawn on the outermost edge of the effective region as the edge region image, and the portion between the central region and the edge region is defined as the transition region image.

[0096] Step 503: Based on the central region image, transition region image and edge region image, calculate the average thickness of each region, and based on the effective region image of the fiber layer, calculate the overall thickness standard deviation of the corresponding fiber layer.

[0097] Specifically, the regional average thickness refers to the arithmetic mean of the grayscale values ​​or calibrated thickness values ​​of all pixels within a specific region, reflecting the average amount of fiber deposition in that region. The overall thickness standard deviation is the standard deviation calculated based on the thickness values ​​of all pixels in the entire effective area image of the fiber layer. It is a statistical indicator reflecting the overall uniformity of the fiber layer; a smaller standard deviation indicates a more uniform thickness distribution, while a larger standard deviation indicates a more uneven thickness distribution. The effective area image of the fiber layer serves as the input data source for calculating the overall thickness standard deviation. For each partitioned image, including the central area, transition area, and edge area images, the terminal iterates through all pixels, reads their grayscale values ​​(which are usually positively correlated with fiber thickness and can be converted to physical thickness after pre-calibration), calculates the average grayscale value, thus obtaining the regional average thickness of each partition. Finally, the entire effective area image of the fiber layer is processed to calculate the overall thickness standard deviation of all pixel thickness values ​​in the image.

[0098] Step 504: Compare the average thickness with the preset thickness threshold group to obtain the conclusion of accumulated voids, and compare the overall thickness standard deviation with the preset uniformity standard to obtain the conclusion that uniformity meets the standard.

[0099] Specifically, the preset thickness threshold set is a set of pre-defined standard values ​​used to determine whether the local thickness of the fiber layer is acceptable. An upper limit threshold for accumulation and a lower limit threshold for voids are defined for each zone. The accumulation / void conclusion is a qualitative conclusion derived by comparing the average thickness of each region with the threshold. Examples include normal thickness in the central area, accumulation in the transition area, and voids in the edge area. The preset uniformity standard is a pre-defined standard value used to determine whether the overall uniformity of the fiber layer is acceptable; it is typically a maximum permissible standard deviation threshold. The uniformity compliance conclusion is a qualitative conclusion derived by comparing the calculated overall thickness standard deviation with the preset uniformity standard, including whether uniformity meets the standard or not. The terminal compares the average thickness of each partition with the threshold of the corresponding partition in the preset thickness threshold group. If the average thickness of a region is higher than its accumulation threshold, the region is judged to be accumulated; if the average thickness of a region is lower than its void threshold, the region is judged to be void; if it is between the two, it is judged to be normal. The judgment results of all partitions are summarized to obtain the accumulation and void conclusion. The calculated overall thickness standard deviation is compared with the preset uniformity standard. If the standard deviation is less than or equal to the standard value, the uniformity is considered to be up to standard; otherwise, it is considered to be down to standard.

[0100] Step 505: Integrate the conclusions on the accumulation of voids and the conclusions on the achievement of uniformity standards to obtain a description of the morphological deviation of the fiber layer.

[0101] Integration refers to combining multiple independent conclusions into a comprehensive and holistic descriptive statement. The fiber layer morphology deviation description is a comprehensive textual or coded description that summarizes all major morphological deviations of the current fiber layer relative to the process target. The final step simply splices together or combines the conclusions on pile-up voids and uniformity compliance in a specific format to form a concise comprehensive description. For example, a possible fiber layer morphology deviation description might be: pile-up in the central area, normal in the edge area, and overall uniformity not meeting the target.

[0102] This embodiment transforms quantified thickness data into intuitive and semantically clear quality conclusions, generating a comprehensive and concise deviation report. The report accurately summarizes the current quality status of the fiber layer, providing accurate guidance for subsequent wind speed curve optimization and effectively improving the reliability of wind speed control.

[0103] In one embodiment, after performing optimization calculations based on the real-time wind speed deviation field and feedforward interference signal to obtain the coordinated adjustment instruction set, the method further includes:

[0104] Step 601: Based on the PLC counter, the real-time speed pulse signal of the motor spindle is acquired to obtain the actual speed measurement value of the motor spindle.

[0105] In this context, the PLC's counter refers to a dedicated functional module within the PLC (Programmable Logic Controller), whose core function is to perform high-speed and precise counting of input electrical pulse signals. The real-time spindle speed pulse signal refers to a square wave pulse signal generated by an encoder or proximity switch mounted on the motor spindle, which is strictly synchronized with the spindle's rotational speed. Each time the motor rotates a certain angle, it generates one or more pulses. The actual spindle speed measurement is a precise numerical value, representing the number of spindle rotations per unit time at the current moment, reflecting the motor's true operating speed. The encoder mounted on the spindle continuously generates real-time speed pulse signals as the spindle rotates. These pulse signals are input to the PLC's dedicated high-speed counter input port. The PLC's internal counter module accumulates the number of received pulses within a very short and fixed time window. Since the number of pulses generated per revolution of the encoder is known, the PLC can convert the pulse count into the actual spindle speed measurement value using a calculation formula and input this value to the terminal.

[0106] Step 602: Based on the coordinated adjustment instruction set, extract the target speed of the corresponding motor spindle; and based on the difference between the actual speed measurement value and the target speed, generate a frequency adjustment instruction; the frequency adjustment instruction is used to instruct the corresponding electric actuator to change the frequency and voltage of the output power supply.

[0107] Specifically, the coordinated adjustment instruction set is the core instruction, containing the target states that each actuator needs to achieve to adjust the wind field. For a specific wind turbine motor, this includes its target speed. The target speed refers to the ideal operating speed that the wind turbine motor theoretically needs to reach in order to achieve the wind speed required to optimize the dynamic wind speed gradient target curve. The difference between the actual measured speed and the target speed is an error signal that quantifies the gap between the motor's current actual operating state and the desired state. The frequency adjustment instruction is a specific control signal that commands the frequency converter to change the frequency and voltage of its output power supply. In this embodiment, the electric actuator specifically refers to the frequency converter, which is a power control device that can change the frequency and voltage of the output power supply to precisely control the speed of an AC motor. The terminal parses and extracts the target speed allocated to the local fan motor from the coordinated adjustment instruction set. It then compares the actual speed measurement with the extracted target speed in real time, calculates the difference between the two, and uses a PID (Proportional Integral Derivative) control algorithm based on the calculated speed deviation. This algorithm calculates a corresponding frequency adjustment instruction based on the magnitude, direction, and duration of the deviation. Essentially, the instruction instructs the inverter to increase or decrease the frequency and voltage of the output power supply by a specific amount, thereby driving the motor speed to approach the target value and ultimately eliminating the deviation.

[0108] Step 603: The frequency adjustment command is transmitted to the corresponding electric actuator to obtain the updated physical wind field.

[0109] Specifically, transmission refers to the process of sending frequency adjustment commands from the PLC to the frequency converter via an industrial network or analog / digital signal lines. The corresponding electric actuator is the frequency converter, which receives the commands and executes the actions. The updated physical wind field refers to the change in wind speed and volume generated by the fan after the frequency converter adjusts the motor speed according to the commands, thus more closely approximating the ideal state described by the optimized dynamic wind speed gradient target curve. The terminal sends the frequency adjustment command to the corresponding frequency converter. After receiving the command, the frequency converter's internal power electronics immediately activate, precisely changing the frequency and voltage of the AC power supply output to the fan motor. According to the principle of AC motors, the motor speed is directly proportional to the power supply frequency. Therefore, changing the frequency directly changes the motor speed, and the change in motor speed directly leads to a change in the fan impeller speed, thereby changing the airflow into the duct.

[0110] This embodiment effectively solves the problem of unstable speed caused by voltage fluctuations by accurately and in real time monitoring the motor's operating status, and significantly improves the quality stability and efficiency of each stage of cotton processing.

[0111] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0112] Based on the same inventive concept, this application also provides a wind speed control device for implementing the wind speed control method in cotton processing as described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations of one or more embodiments of the wind speed control device in cotton processing provided below can be found in the limitations of the wind speed control method in cotton processing described above, and will not be repeated here.

[0113] In one exemplary embodiment, such as Figure 2 As shown, a wind speed control device 700 for cotton processing is provided, comprising:

[0114] The reference module 701 is used to calculate the theoretical wind speed value corresponding to the fiber layer process target based on the fiber layer process target, pipeline structure parameters and fiber raw material characteristic parameters, and obtain the target wind speed gradient reference curve.

[0115] The deviation module 702 is used to compare the morphological features of the fiber layer with the process target of the fiber layer based on the real-time fiber layer distribution image to obtain a description of the morphological deviation of the fiber layer.

[0116] The adjustment module 703 is used to fine-tune the target wind speed gradient baseline curve based on the fiber layer morphology deviation description to obtain the optimized dynamic wind speed gradient target curve.

[0117] Real-time module 704 is used to calculate the difference between real-time wind speed measurement values ​​and optimized dynamic wind speed gradient target curves to obtain the real-time wind speed deviation field.

[0118] The optimization module 705 is used to perform optimization calculations based on the real-time wind speed deviation field and feedforward interference signal to obtain a coordinated adjustment instruction set; the coordinated adjustment instruction set is used to instruct each section of the damper to adjust the blade angle.

[0119] Furthermore, the reference module 701 is also used for:

[0120] By inputting the fiber layer process objectives and fiber raw material characteristic parameters into the pre-trained fiber settling dynamic model, the ideal vertical settling velocity range of the fiber is obtained.

[0121] Based on the ideal vertical settling velocity range of the fiber and the pipe structure parameters, a fluid dynamics deduction was performed to obtain the wind speed-location relationship curve;

[0122] Based on process constraints, the wind speed-location relationship curve is adjusted for compliance to obtain the target wind speed gradient baseline curve; the process constraints include the upper limit of safe wind speed for equipment, the lower limit of wind speed for anti-clogging, and the wind speed requirement for impurity removal.

[0123] Furthermore, the reference module 701 is also used for:

[0124] Extract the upper limit of the ideal vertical settling velocity range of the fiber, and based on the upper limit, set the horizontal wind speed at the pipe outlet according to the principle of conservation of momentum to obtain the theoretical wind speed value at the outlet.

[0125] Based on the suspension velocity in the characteristic parameters of fiber raw materials, the suspension velocity is amplified and calculated to obtain the theoretical inlet wind speed value;

[0126] The pipe length is extracted from the pipe structure parameters, and based on the theoretical wind speed at the outlet and inlet and the pipe length, a theoretical curve is fitted according to the following baseline curve formula to obtain the wind speed-location relationship curve:

[0127]

[0128] in, Let x be the target wind speed at the axial position x of the pipeline, where x is the axial coordinate of the pipeline and L is the pipeline length. This is the theoretical wind speed at the inlet. This is the theoretical wind speed at the outlet. This is the curve shape index.

[0129] Furthermore, module 703 is also used for:

[0130] Based on the preset curve adjustment rules, the fiber layer morphology deviation description is mapped to the corresponding adjustment strategy to obtain the benchmark adjustment strategy.

[0131] Based on the baseline adjustment strategy, the curve shape index is numerically adjusted to obtain a new curve shape index;

[0132] Based on the upper and lower limits of the parameters, the new curve shape index is protected from out-of-bounds errors, and the optimized curve shape index is obtained.

[0133] The optimized curve shape index is substituted into the baseline curve formula to calculate the reconstructed wind speed position relationship curve.

[0134] Based on process constraints, the reconstructed wind speed location relationship is adjusted in compliance with regulations to obtain the optimized dynamic wind speed gradient target curve.

[0135] Furthermore, the deviation module 702 is used for:

[0136] Based on the real-time fiber layer distribution image, a preprocessing operation is performed to obtain a preprocessed image, and the preprocessed image is then segmented to obtain an image of the effective region of the fiber layer.

[0137] Based on the effective region image of the fiber layer, region segmentation is performed to obtain the central region image, transition region image, and edge region image;

[0138] Based on the central region image, transition region image and edge region image, the average thickness of each region is calculated, and based on the effective region image of the fiber layer, the overall thickness standard deviation of the corresponding fiber layer is calculated.

[0139] The average thickness is compared with the preset thickness threshold group to obtain the conclusion of piled voids, and the overall thickness standard deviation is compared with the preset uniformity standard to obtain the conclusion that the uniformity meets the standard.

[0140] By integrating the conclusions on accumulated voids and uniformity compliance, a description of the morphological deviation of the fiber layer is obtained.

[0141] Furthermore, the device also includes an execution module, which is used for:

[0142] A PLC-based counter is used to acquire the real-time speed pulse signal of the motor spindle and obtain the actual speed measurement value of the motor spindle.

[0143] Based on the coordinated adjustment instruction set, the target speed of the corresponding motor spindle is extracted; and based on the difference between the actual speed measurement value and the target speed, a frequency adjustment instruction is generated; the frequency adjustment instruction is used to instruct the corresponding electric actuator to change the frequency and voltage of the output power supply.

[0144] The frequency adjustment command is transmitted to the corresponding electric actuator to obtain the updated physical wind field.

[0145] In one embodiment, a computer device is provided, including a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of the wind speed control method in cotton processing as described above.

[0146] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0147] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The components described as separate parts may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0148] The above-described embodiments are merely illustrative of several implementation methods of the embodiments of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the embodiments of this application, and these modifications and improvements all fall within the protection scope of the embodiments of this application.

Claims

1. A method for controlling wind speed in cotton processing, characterized in that, The method includes: Based on the fiber layer process objectives, pipeline structure parameters, and fiber raw material characteristic parameters, the theoretical wind speed value corresponding to the fiber layer process objectives is calculated, and the target wind speed gradient benchmark curve is obtained. Based on real-time fiber layer distribution images, the morphological features of the fiber layer are compared with the fiber layer process targets to obtain a description of the fiber layer morphological deviation. Based on the fiber layer morphology deviation description, the target wind speed gradient baseline curve is fine-tuned to obtain an optimized dynamic wind speed gradient target curve. The difference between the real-time wind speed measurement and the optimized dynamic wind speed gradient target curve is calculated to obtain the real-time wind speed deviation field. Based on the real-time wind speed deviation field and feedforward interference signal, optimization calculations are performed to obtain a coordinated adjustment instruction set; the coordinated adjustment instruction set is used to instruct each section of the damper to adjust the blade angle.

2. The method according to claim 1, characterized in that, The process involves calculating the theoretical wind speed value corresponding to the fiber layer process target based on the fiber layer process objective, pipeline structure parameters, and fiber raw material characteristic parameters, thereby obtaining the target wind speed gradient baseline curve, including: The process objectives of the fiber layer and the characteristic parameters of the fiber raw materials are input into a pre-trained fiber settling dynamic model to obtain the ideal vertical settling velocity range of the fiber. Based on the ideal vertical settling velocity range of the fiber and the pipe structure parameters, a fluid dynamics deduction was performed to obtain the wind speed-position relationship curve; Based on process constraints, the wind speed-location relationship curve is adjusted for compliance to obtain the target wind speed gradient baseline curve; the process constraints include the upper limit of safe wind speed for equipment, the lower limit of wind speed for preventing blockage, and the wind speed requirement for removing impurities.

3. The method according to claim 2, characterized in that, Based on the ideal vertical settling velocity range of the fiber and the pipe structure parameters, a fluid dynamics deduction is performed to obtain the wind speed-location relationship curve, including: Extract the upper limit of the ideal vertical settling velocity range of the fiber, and based on the upper limit, set the horizontal wind speed at the pipe outlet according to the principle of conservation of momentum to obtain the theoretical wind speed value at the outlet. Based on the suspension velocity in the characteristic parameters of the fiber raw material, the suspension velocity is amplified and calculated to obtain the theoretical inlet wind speed value. The pipe length is extracted from the pipe structure parameters, and based on the theoretical wind speed at the outlet, the theoretical wind speed at the inlet, and the pipe length, a theoretical curve is fitted according to the following benchmark curve formula to obtain the wind speed position relationship curve: in, Let x be the target wind speed at the axial position x of the pipeline, where x is the axial coordinate of the pipeline and L is the pipeline length. This is the theoretical wind speed at the inlet. This is the theoretical wind speed at the outlet. This is the curve shape index.

4. The method according to claim 3, characterized in that, The step of fine-tuning the target wind speed gradient baseline curve based on the fiber layer morphology deviation description to obtain an optimized dynamic wind speed gradient target curve includes: Based on the preset curve adjustment rules, the fiber layer morphological deviation description is mapped to the corresponding adjustment strategy to obtain the benchmark adjustment strategy; Based on the aforementioned benchmark adjustment strategy, the curve shape index is numerically adjusted to obtain a new curve shape index. Based on the upper and lower limits of the parameters, the new curve shape index is protected from out-of-bounds errors, and the optimized curve shape index is obtained. The optimized curve shape index is substituted into the baseline curve formula to calculate the reconstructed wind speed position relationship curve. Based on the aforementioned process constraints, the reconstructed wind speed location relationship is adjusted in compliance with regulations to obtain the optimized dynamic wind speed gradient target curve.

5. The method according to claim 1, characterized in that, The process of comparing the morphological features of the fiber layer with the fiber layer process target based on the real-time fiber layer distribution image to obtain a description of the fiber layer morphological deviation includes: Based on the real-time fiber layer distribution image, a preprocessing operation is performed to obtain a preprocessed image, and the preprocessed image is segmented to obtain an effective region image of the fiber layer. Based on the effective region image of the fiber layer, region segmentation is performed to obtain the central region image, transition region image, and edge region image; Based on the central region image, the transition region image, and the edge region image, the average thickness of each region is calculated, and based on the effective region image of the fiber layer, the overall thickness standard deviation of the corresponding fiber layer is calculated. The average thickness is compared with a preset thickness threshold group to obtain the conclusion of accumulated voids, and the overall thickness standard deviation is compared with a preset uniformity standard to obtain the conclusion that uniformity meets the standard. By integrating the conclusions regarding the accumulation of voids and the conclusions regarding the achievement of uniformity standards, a description of the morphological deviation of the fiber layer is obtained.

6. The method according to claim 1, characterized in that, After performing optimization calculations based on the real-time wind speed deviation field and feedforward interference signal to obtain the coordinated adjustment instruction set, the method further includes: A PLC-based counter is used to acquire the real-time speed pulse signal of the motor spindle and obtain the actual speed measurement value of the motor spindle. Based on the coordinated adjustment instruction set, the target speed of the corresponding motor spindle is extracted; and based on the difference between the actual speed measurement value and the target speed, a frequency adjustment instruction is generated; the frequency adjustment instruction is used to instruct the corresponding electric actuator to change the frequency and voltage of the output power supply. The frequency adjustment command is transmitted to the corresponding electric actuator to obtain the updated physical wind field.

7. A wind speed control device for cotton processing, characterized in that, The device includes: The benchmark module is used to calculate the theoretical wind speed value corresponding to the fiber layer process target based on the fiber layer process target, pipeline structure parameters and fiber raw material characteristic parameters, and obtain the target wind speed gradient benchmark curve. The deviation module is used to compare the morphological features of the fiber layer with the process target of the fiber layer based on the real-time fiber layer distribution image to obtain a description of the fiber layer morphological deviation. The adjustment module is used to fine-tune the target wind speed gradient reference curve based on the fiber layer morphology deviation description to obtain an optimized dynamic wind speed gradient target curve. The real-time module is used to calculate the difference between the real-time wind speed measurement value and the optimized dynamic wind speed gradient target curve to obtain the real-time wind speed deviation field. The optimization module is used to perform optimization calculations based on the real-time wind speed deviation field and feedforward interference signal to obtain a coordinated adjustment instruction set; the coordinated adjustment instruction set is used to instruct each section of the damper to adjust the blade angle.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

Images