A method, system, and equipment for controlling the moisture content of fluidized bed particle drying.

Abstract

This application relates to the field of fluidized bed technology and discloses a method, system, and device for controlling the moisture content of fluidized bed particle drying. The method includes: acquiring the initial moisture content, target drying time, and target moisture content at the drying endpoint of the fluidized bed particles; generating a set moisture content curve based on the initial moisture content, the target drying time, and the target moisture content; obtaining the real-time moisture content deviation based on the real-time moisture content of the fluidized bed particles and the set moisture content at the corresponding time; inputting the real-time moisture content deviation into a preset piecewise weighted function to obtain the output result of the piecewise weighted function; linearly adjusting the real-time airflow of the fluidized bed according to the output result of the piecewise weighted function to achieve the target moisture content at the target drying time. This solves the technical problem of how to accurately control the moisture content at the drying time and drying endpoint, achieving the technical effects of improving drying efficiency and reducing drying energy consumption.

Description

Technical Field

[0001] This application relates to the field of fluidized bed technology, and in particular to a method, system and equipment for real-time control of the moisture content of fluidized bed particles. Background Technology

[0002] Fluidized bed drying is a drying process that uses hot air to suspend solid particles in a fluidized state, thereby achieving efficient heat and mass transfer. Due to its advantages such as high drying efficiency, uniform temperature distribution, and large throughput, it is widely used in industries such as pharmaceuticals, chemicals, food, and agricultural product processing. However, traditional fluidized bed drying process control has significant drawbacks. Because the entire drying process cannot be dynamically optimized, conservative process settings lead to excessively long drying times, resulting in serious energy waste. Summary of the Invention

[0003] This application provides a method, system, and equipment for controlling the moisture content of fluidized bed particle drying, which solves the technical problem of how to accurately control the drying time and moisture content at the drying endpoint, and achieves the technical effects of improving drying efficiency and reducing drying energy consumption while ensuring particle size quality.

[0004] To achieve the above objectives, the main technical solutions adopted in this application include:

[0005] In a first aspect, embodiments of this application provide a method for controlling the moisture content of fluidized bed particles during drying. The method includes: acquiring the initial moisture content, target drying time, and target moisture content at the drying endpoint of the fluidized bed particles; generating a set moisture content curve based on the initial moisture content, the target drying time, and the target moisture content, wherein the set moisture content curve is used to characterize the set moisture content of the fluidized bed particles at various times during the drying process; obtaining a real-time moisture content deviation based on the real-time moisture content of the fluidized bed particles and the set moisture content at the corresponding time during the fluidized bed particle drying process; inputting the real-time moisture content deviation into a preset piecewise weighted function to obtain the output result of the piecewise weighted function; and linearly adjusting the real-time airflow of the fluidized bed according to the output result of the piecewise weighted function to make the real-time moisture content deviation approach zero and to reach the target moisture content at the target drying time.

[0006] This application provides a method for controlling the moisture content of fluidized bed particle drying. Based on the drying process requirements, a target drying time and a target moisture content at the drying endpoint are set. A linear set moisture content curve is generated based on the initial moisture content, the target drying time, and the target moisture content at the drying endpoint. The set moisture content at each moment during the drying process can be obtained through this curve. The difference between the real-time moisture content and the corresponding set moisture content is calculated to obtain the real-time moisture content deviation. A piecewise weighted function is used to correlate the real-time moisture content deviation with the real-time airflow of the fluidized bed. The real-time moisture content deviation is input into the piecewise weighted function to obtain its output. Based on the output of the piecewise weighted function, the real-time airflow of the fluidized bed is linearly adjusted, thereby adjusting the rate of decrease in real-time moisture content, so that the real-time moisture content deviation approaches zero, reaching the target moisture content at the target drying time. This control method improves the controllability of the fluidized bed particle drying process, solves the technical problem of how to accurately control the moisture content at the drying time and drying endpoint, and achieves the technical effects of improving drying efficiency and reducing drying energy consumption while ensuring particle size quality.

[0007] Optionally, for any moment in the drying process, the set moisture content is determined as follows: calculate a first difference between the initial moisture content and the target moisture content; determine the ratio of the current drying time to the target drying time; calculate the product of the first difference and the ratio; calculate a second difference between the initial moisture content and the product, and use the second difference as the set moisture content for the current moment.

[0008] The set moisture content curve provides the desired set moisture content at each moment in the entire drying process, so that the moisture content control of fluidized bed particle drying is not only the final moisture content control, but also extends to the dynamic judgment and regulation at each moment in the drying process. By actively controlling the drying rate, the moisture content can be controlled in real time and accurately, ensuring that the target moisture content is reached at the target drying time. This helps to improve the stability and efficiency of the drying process and optimize energy consumption.

[0009] Optionally, if the real-time moisture content deviation is less than the first threshold, the output of the piecewise weighting function is 1, and the real-time air intake is set to the lower limit of the air intake; if the real-time moisture content deviation is greater than or equal to the first threshold and less than or equal to the second threshold, the output of the piecewise weighting function is greater than or equal to 0 and less than or equal to 1, and the real-time air intake of the fluidized bed decreases linearly as the output of the piecewise weighting function increases; if the real-time moisture content deviation is greater than the second threshold, the output of the piecewise weighting function is 0, and the real-time air intake is set to the upper limit of the air intake; wherein, the first threshold is a negative real number, and the second threshold is a positive real number.

[0010] By dividing the real-time moisture content deviation into intervals, it is beneficial to achieve refined management of the drying process. For example, the area where the real-time moisture content deviation is less than a first threshold is designated as the over-dry zone, the area where the real-time moisture content deviation is greater than a second threshold is designated as the over-wet zone, and the area where the real-time moisture content deviation is greater than or equal to the first threshold and less than or equal to the second threshold is designated as the fine-tuning zone. In the over-dry zone, the air intake is reduced to a minimum to ensure the physicochemical properties of the product and prevent the fluidized bed particles from being over-dried and broken. In the fine-tuning zone, the output of the piecewise weighted function shows a linear decreasing relationship with the real-time air intake, adopting a smooth, overshoot-free, and oscillation-free adjustment method, avoiding sudden changes in air intake and system oscillations caused by simple on / off control or PID control. In the over-wet zone, the air intake is increased to a maximum to accelerate the drying process, avoid drying delays, improve production efficiency, and reduce the additional energy consumption caused by prolonged drying time.

[0011] Optionally, the response sensitivity characteristics to different real-time moisture content deviations can be changed by adjusting the value of the exponential parameter in the piecewise weighting function.

[0012] By changing the value of the index parameter, the response sensitivity characteristics to different real-time moisture content deviations can be altered, thereby enabling precise, intelligent, and flexible optimization management of the drying dynamic process.

[0013] Optionally, if the exponential parameter in the piecewise weighting function is greater than 1, then the piecewise weighting function is a convex function within the interval between the first threshold and the second threshold.

[0014] The convex function characteristics of the piecewise weighted function result in a sensitive asymmetric response to small real-time moisture content deviations and a mild response to larger real-time moisture content deviations. This facilitates a robust drying process, improves the moisture consistency of granular products, reduces the intensity of human intervention and energy consumption, and brings significant economic and environmental benefits to industrial production.

[0015] Optionally, if the exponential parameter in the piecewise weighting function is greater than 0 and less than 1, then the piecewise weighting function is a concave function within the interval between the first threshold and the second threshold.

[0016] The concave nature of the piecewise weighted function leads to a slow response to small real-time moisture content deviations and an asymmetric response that is sensitive to larger real-time moisture content deviations. This facilitates efficient completion of the drying process, reduces the intensity of human intervention and energy consumption, and brings significant economic and environmental benefits to industrial production.

[0017] Secondly, embodiments of this application provide a control system for the moisture content of fluidized bed particles during drying. The system includes: an acquisition module for acquiring the initial moisture content, target drying time, and target moisture content at the drying endpoint of the fluidized bed particles; a generation module for generating a set moisture content curve based on the initial moisture content, the target drying time, and the target moisture content, wherein the set moisture content curve characterizes the set moisture content of the fluidized bed particles at various times during the drying process; and an adjustment module for obtaining a real-time moisture content deviation based on the real-time moisture content of the fluidized bed particles and the set moisture content at the corresponding time during the drying process; inputting the real-time moisture content deviation into a preset piecewise weighted function to obtain the output result of the piecewise weighted function; and linearly adjusting the real-time airflow of the fluidized bed according to the output result of the piecewise weighted function to make the real-time moisture content deviation approach zero and reach the target moisture content at the target drying time.

[0018] Optionally, the adjustment module further includes: an online moisture measurement unit for detecting the real-time moisture content of the fluidized bed particles; and a data analysis and processing unit for obtaining the real-time moisture content deviation based on the real-time moisture content of the fluidized bed particles and the set moisture content at the corresponding time.

[0019] Thirdly, embodiments of this application provide a computer device, including: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the above-described method for controlling the moisture content of fluidized bed particle drying.

[0020] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer instructions, which are used to cause a computer to execute the above-described method for controlling the moisture content of fluidized bed particle drying.

[0021] Fifthly, embodiments of this application provide a computer program product, including computer instructions, which are used to cause a computer to execute the above-described method for controlling the moisture content of fluidized bed particle drying. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0023] Figure 1A flowchart illustrating a method for controlling the moisture content of fluidized bed particle drying according to an embodiment of this application;

[0024] Figure 2 A schematic diagram of a control system for the moisture content of fluidized bed particle drying provided in an embodiment of this application;

[0025] Figure 3 A control system loop diagram for controlling the moisture content of fluidized bed particle drying provided in this application embodiment;

[0026] Figure 4 A schematic diagram of information transmission for a fluidized bed particle drying moisture content control system provided in an embodiment of this application;

[0027] Figure 5 This is a schematic diagram illustrating the control results of moisture content in fluidized bed particle drying provided in an embodiment of this application.

[0028] Figure 6 This is a schematic diagram illustrating the control results of moisture content in fluidized bed particle drying provided in an embodiment of this application.

[0029] Figure 7 This is a schematic diagram illustrating the control results of moisture content in fluidized bed particle drying provided in an embodiment of this application.

[0030] Figure 8 This is a schematic diagram of the screening results provided in an embodiment of this application;

[0031] Figure 9 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0032] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0033] Fluidized bed drying is a drying process that uses hot air to suspend solid particles in a fluidized state, thereby achieving efficient heat and mass transfer. Due to its advantages such as high drying efficiency, uniform temperature distribution, and large throughput, it is widely used in pharmaceutical, chemical, food, and agricultural product processing industries. However, traditional fluidized bed drying process control has significant drawbacks. Currently, industrial production largely relies on the operator's experience, controlling the drying process by manually adjusting parameters such as airflow and temperature. This control method has several inherent defects: First, the determination of the drying endpoint lacks scientific basis, usually relying on a preset fixed time or empirical observation to determine whether to stop drying, which easily leads to over-drying (causing particle breakage and degradation of active ingredients) or under-drying (resulting in excessive product moisture content and easy mold growth during storage). Second, because it is impossible to perceive changes in material moisture content in real time, the entire drying process cannot be dynamically optimized, and conservative process settings result in excessively long drying times, causing serious energy waste. Furthermore, this process is labor-intensive, and the consistency and stability of product quality are difficult to guarantee, highly dependent on the operator's skill level.

[0034] In recent years, online detection technologies, such as near-infrared (NIR) spectroscopy, have begun to be applied to process analysis due to their rapid, non-destructive, and real-time measurement capabilities. Theoretically, this technology can monitor changes in material moisture content in real time, providing data support for determining the drying endpoint. However, simple online detection only solves the "seeing" problem, not the "control" problem. How to convert real-time moisture data into precise control commands to achieve proactive intervention in the drying kinetics remains a technical challenge in this field. Conventional PID control strategies often perform poorly in nonlinear, large-hysteresis processes like fluidized bed drying, exhibiting problems such as overshoot, oscillation, or slow response, making it difficult to shorten drying time and reduce energy consumption while ensuring product quality.

[0035] Therefore, there is an urgent need in this field for a real-time control method for the moisture content of fluidized bed particles, so as to achieve intelligent and precise control of the fluidized bed particle drying process, while strictly ensuring the consistency of product quality, significantly improving drying efficiency and reducing energy consumption.

[0036] This application provides a method for real-time control of the moisture content of fluidized bed particles. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0037] Please refer to Figure 1 , Figure 1 A flowchart of the method for controlling the moisture content of fluidized bed particle drying provided in the embodiments of this application is shown below. Figure 1 As shown, the process includes the following steps:

[0038] Step S1: Obtain the initial moisture content, target drying time, and target moisture content at the drying endpoint of the fluidized bed particles.

[0039] Initial moisture content refers to the moisture content of the fluidized bed particles at the start of the drying process, which can be obtained by measuring the fluidized bed particles with an online moisture meter. An online moisture meter is an instrument capable of measuring the moisture content of the material (fluidized bed particles) in real time and outputting the measurement data. Target drying time refers to the preset total time to complete the entire drying process. Drying endpoint refers to the state at which the fluidized bed particles reach the target moisture content at the end of the drying process. The drying endpoint is defined by both the target drying time and the drying endpoint moisture content, and its specific parameter values ​​are determined according to the drying process requirements. The control system aims to achieve the target moisture content within the target drying time. Target moisture content refers to the preset moisture content that the fluidized bed particles are expected to reach at the end of the drying process. Initial moisture content, target moisture content, and set moisture content are all quantitatively described as percentages of the particle moisture content.

[0040] Step S3: Based on the initial moisture content, the target drying time, and the target moisture content, a set moisture content curve is generated. The set moisture content curve is used to characterize the set moisture content of the fluidized bed particles at various times during the drying process.

[0041] The set moisture content refers to the desired moisture content of the fluidized bed particles at the current moment. In the set moisture content curve, it is assumed that the moisture content in the fluidized bed particles decreases uniformly from the beginning to the end.

[0042] Step S5: During the fluidized bed particle drying process, the real-time moisture content deviation is obtained based on the real-time moisture content of the fluidized bed particles and the set moisture content at the corresponding time. The real-time moisture content deviation is input into a preset piecewise weighted function to obtain the output result of the piecewise weighted function. The real-time air intake of the fluidized bed is linearly adjusted according to the output result of the piecewise weighted function so that the real-time moisture content deviation approaches zero and the target moisture content is reached at the target drying time.

[0043] The real-time moisture content deviation refers to the difference between the real-time moisture content and the set moisture content. If the real-time moisture content deviation is greater than zero, the real-time moisture content is higher than the set moisture content, meaning the drying is too slow and needs to be accelerated. If the real-time moisture content deviation is less than zero, the real-time moisture content is lower than the set moisture content, meaning the drying is too fast and needs to be slowed down to prevent over-drying. If the real-time moisture content deviation is equal to zero, it means the drying process is in an ideal state and can be maintained at the current air intake rate.

[0044] The piecewise weighting function follows a preset rule, outputting a weighting coefficient between 0 and 1. This coefficient represents the confidence level in using the minimum airflow for drying. For example, a coefficient closer to 1 indicates a higher risk of excessively rapid drying, thus favoring the minimum airflow to reduce the drying rate and prevent over-drying. Conversely, a coefficient closer to 0 indicates a higher risk of excessively slow drying, favoring the maximum airflow to increase the drying rate. When the coefficient is between 0 and 1, the real-time airflow is smoothly adjusted. The piecewise weighting function, through its piecewise characteristics, assigns a smaller weighting coefficient to improve system response speed when real-time moisture content deviation is large, and a larger weighting coefficient to improve steady-state accuracy when real-time moisture content deviation is small, thus balancing the system's dynamic response and steady-state control performance. The weighting coefficient is obtained based on the real-time moisture content deviation, and the real-time airflow of the fluidized bed is linearly adjusted according to this coefficient, converting the real-time moisture content deviation into a specific, executable airflow command. By linearly adjusting the real-time air intake, smooth, overshoot-free, and oscillation-free regulation is achieved, avoiding sudden changes in air intake and system oscillations caused by simple on / off control or PID control.

[0045] Increasing the air intake rate means a faster drying rate, resulting in a quicker decrease in the moisture content of the fluidized bed particles. Conversely, decreasing the air intake rate means a slower drying rate, leading to a more gradual decrease in the moisture content of the fluidized bed particles. By controlling the air intake rate, the drying rate can be controlled, thereby indirectly controlling the change in moisture content.

[0046] Specifically, when the real-time moisture content deviation is positive, the air intake is increased to accelerate the drying rate, causing the real-time moisture content to decrease more rapidly and the deviation to decrease and return to zero. When the real-time moisture content deviation is negative, the air intake is decreased to slow down the drying rate, causing the real-time moisture content to decrease more slowly and the deviation to increase and return to zero, thus continuously bringing the real-time moisture content closer to the set moisture content. By combining a control strategy based on a piecewise weighted function with online moisture detection technology, and applying it to real-time moisture detection, analysis, and endpoint control in the fluidized bed particle drying process, automatic control of fluidized bed particle drying can be achieved.

[0047] This application provides a method for controlling the moisture content of fluidized bed particle drying. Based on the drying process requirements, a target drying time and a target moisture content at the drying endpoint are set. A linear set moisture content curve is generated based on the initial moisture content, the target drying time, and the target moisture content at the drying endpoint. The set moisture content at each moment during the drying process can be obtained through this curve. The difference between the real-time moisture content and the corresponding set moisture content is calculated to obtain the real-time moisture content deviation. A piecewise weighted function is used to correlate the real-time moisture content deviation with the real-time airflow of the fluidized bed. The real-time moisture content deviation is input into the piecewise weighted function to obtain its output. Based on the output of the piecewise weighted function, the real-time airflow of the fluidized bed is linearly adjusted, thereby adjusting the rate of decrease in real-time moisture content, so that the real-time moisture content deviation approaches zero, reaching the target moisture content at the target drying time. This control method improves the controllability of the fluidized bed particle drying process, solves the technical problem of how to accurately control the moisture content at the drying time and drying endpoint, and achieves the technical effects of improving drying efficiency and reducing drying energy consumption while ensuring particle size quality.

[0048] In some embodiments, for any point in the drying process, the set moisture content is determined as follows: a first difference between the initial moisture content and the target moisture content is calculated; the ratio of the current drying time to the target drying time is determined; the product of the first difference and the ratio is calculated; a second difference between the initial moisture content and the product is calculated, and the second difference is used as the set moisture content for the current point in time.

[0049] The first difference between the initial moisture content and the target moisture content is used to characterize the total amount of water that needs to be removed. This total water is then evenly distributed throughout the drying process to calculate the set moisture content at each moment. The set moisture content curve decreases linearly from the initial moisture content to the target moisture content over time.

[0050] The set moisture content curve provides the desired set moisture content at each moment in the entire drying process, so that the moisture content control of fluidized bed particle drying is not only the final moisture content control, but also extends to the dynamic judgment and regulation at each moment in the drying process. By actively controlling the speed of the drying process, the moisture content can be controlled in real time and accurately, ensuring that the target moisture content is reached at the target drying time. This helps to improve the stability and efficiency of the drying process and optimize energy consumption.

[0051] By setting the target drying time and drying endpoint, the core parameters required to control the process can be generated, reducing the difficulty of operation and the reliance on operator experience.

[0052] Specifically, the expression for the water content curve is set as follows:

[0053]

[0054] In the above formula, This refers to the initial moisture content of the material. The target moisture content at the drying endpoint. The preset target drying time, The time variable in the drying process and , Set the water content for each time point.

[0055] The expression for the real-time moisture content deviation is:

[0056]

[0057] In the above formula, To set the moisture content, that is, the desired moisture content at the current point in time, This refers to the current process moisture content, i.e., the real-time measured particle moisture content. This represents the real-time moisture content deviation between the measured real-time moisture content at the current time and the set moisture content.

[0058] In some embodiments, if the real-time moisture content deviation is less than a first threshold, the output of the piecewise weighting function is 1, and the real-time air intake is set to the lower limit of the air intake; if the real-time moisture content deviation is greater than or equal to the first threshold and less than or equal to the second threshold, the output of the piecewise weighting function is greater than or equal to 0 and less than or equal to 1, and the real-time air intake of the fluidized bed decreases linearly as the output of the piecewise weighting function increases; if the real-time moisture content deviation is greater than the second threshold, the output of the piecewise weighting function is 0, and the real-time air intake is set to the upper limit of the air intake; wherein, the first threshold is a negative real number, and the second threshold is a positive real number.

[0059] The output of the piecewise weighting function ranges from 0 to 1. If the real-time moisture content deviation is less than the first threshold (which is a negative real number), it means the real-time moisture content is less than the set moisture content. In this case, the piecewise weighting function outputs the maximum value of 1, corresponding to the real-time air intake being adjusted to the minimum value, i.e., the lower limit of the air intake. Conversely, if the real-time moisture content deviation is greater than the second threshold (which is a positive real number), it means the real-time moisture content is greater than the set moisture content. In this case, the piecewise weighting function outputs the minimum value of 0, corresponding to the real-time air intake being adjusted to the maximum value, i.e., the upper limit of the air intake.

[0060] By dividing the real-time moisture content deviation into intervals, it is beneficial to achieve refined management of the drying process. For example, the area where the real-time moisture content deviation is less than a first threshold is designated as the over-dry zone, the area where the real-time moisture content deviation is greater than a second threshold is designated as the over-wet zone, and the area where the real-time moisture content deviation is greater than or equal to the first threshold and less than or equal to the second threshold is designated as the fine-tuning zone. In the over-dry zone, the air intake is reduced to a minimum, which helps to ensure the physicochemical properties of the product and prevents the fluidized bed particles from being over-dried and broken. In the fine-tuning zone, the output of the piecewise weighted function shows a linear decreasing relationship with the real-time air intake, adopting a smooth, overshoot-free, and oscillation-free adjustment method, avoiding the sudden changes in air intake and system oscillations caused by simple on / off control or PID control. Sudden changes in air intake can disrupt the stable fluidization state of the fluidized bed and cause accidents such as bed collapse. The smooth adjustment of this application ensures the continuity and stability of the production process. In the over-wet zone, the air intake is increased to a maximum, accelerating the drying process, avoiding drying delays, which helps to improve production efficiency and reduce the additional energy consumption caused by prolonged drying time.

[0061] Specifically, piecewise weight function The expression is:

[0062]

[0063] In the above formula, The first threshold is an adjustable positive real number; The second threshold is an adjustable negative real number; is the exponential parameter, which is an adjustable positive real number. , , The selection of parameters is determined by the drying process requirements.

[0064] The expression for real-time air intake volume is:

[0065]

[0066] In the above formula, This is the initial air intake volume. For piecewise weighting functions, This represents the real-time air intake volume.

[0067] By measuring the initial moisture content of the material Set the target moisture content at the drying endpoint. and target drying time Then, the system will automatically calculate and generate the set water content at 5-second intervals for each time point. During operation, the system calculates the real-time moisture content. With the set moisture content Deviation between Dynamically adjust the air intake volume This allows for the adjustment of the drying rate, ensuring that the real-time moisture content decreases within the allowable error range and conforms to the preset moisture content curve, thereby achieving real-time control of the moisture content during the particle drying process and precise control of the drying endpoint.

[0068] If the real-time moisture content deviation is within the range Inside, the real-time air intake volume Deviation from real-time moisture content Positive correlation, meaning that when the real-time moisture content deviation is low, the real-time air intake volume is reduced, and when the real-time moisture content deviation is high, the real-time air intake volume is increased; if the real-time moisture content deviation is within the range... Inside, the real-time air intake volume is maintained at the lower limit of the air intake volume. If the real-time moisture content deviation is within the range Inside, the real-time air intake volume is maintained at the upper limit of the air intake volume. .

[0069] In some embodiments, the response sensitivity characteristics to different real-time moisture content deviations can be changed by adjusting the value of the exponential parameter in the piecewise weighting function.

[0070] By changing the value of the exponential parameter, the response sensitivity characteristics to different real-time moisture content deviations can be altered, thereby enabling precise, intelligent, and flexible optimization management of the drying dynamic process. For example, if the response sensitivity is set high, the air intake volume will be adjusted rapidly; if the response sensitivity is set low, the air intake volume will be adjusted more slowly.

[0071] In some embodiments, if the exponential parameter in the piecewise weighting function is greater than 1, then the piecewise weighting function is a convex function within the interval between the first threshold and the second threshold.

[0072] The piecewise weighting function is a convex function, meaning that when the real-time moisture content deviation is near the first threshold, the system reacts rapidly and violently to changes in real-time moisture content deviation. This means it is extremely sensitive to even slight signs of over-drying, allowing for a significant reduction in the drying rate immediately. This effectively prevents over-drying of the material, avoids surface hardening and other problems, and helps ensure product quality. The convexity of the piecewise weighting function also means that when the real-time moisture content deviation is near the second threshold, the system reacts gently and gradually to changes in real-time moisture content deviation. This avoids drastic fluctuations in the fluidized bed state, or even bed collapse, caused by a sudden increase in airflow.

[0073] The convex function characteristics of the piecewise weighted function result in a sensitive asymmetric response to small real-time moisture content deviations and a mild response to larger real-time moisture content deviations. This facilitates a robust drying process, improves the moisture consistency of granular products, reduces the intensity of human intervention and energy consumption, and brings significant economic and environmental benefits to industrial production.

[0074] Specifically, in the piecewise weight function, if Then the piecewise weight function is in Within the interval, i.e. Smaller It has high sensitivity to changes and can adjust the air intake volume quickly in real time; for Within the interval, i.e. When larger The sensitivity to changes is relatively low, and the real-time air intake adjustment is relatively slow.

[0075] In some embodiments, if the exponential parameter in the piecewise weighting function is greater than 0 and less than 1, then the piecewise weighting function is a concave function within the interval between the first threshold and the second threshold.

[0076] The piecewise weighting function is concave, meaning that when the real-time moisture content deviation is near the first threshold, the system's response to changes in real-time moisture content deviation is slow. In other words, it is not sensitive to slight signs of over-drying, allowing the material to be slightly drier than the set moisture content curve initially without strong intervention. Conversely, when the piecewise weighting function is concave, it also means that when the real-time moisture content deviation is near the second threshold, the system's response to changes in real-time moisture content deviation is sensitive and drastic. That is, it is highly sensitive to severe over-wetting; once it detects that the drying progress is far behind, it will significantly increase the air intake to catch up with the set moisture content curve at maximum power, which is beneficial for improving production efficiency.

[0077] The concave nature of the piecewise weighted function leads to a slow response to small real-time moisture content deviations and an asymmetric response that is sensitive to larger real-time moisture content deviations. This facilitates efficient completion of the drying process, reduces the intensity of human intervention and energy consumption, and brings significant economic and environmental benefits to industrial production.

[0078] Specifically, in the piecewise weight function, if Then the piecewise weight function is in Within the interval, i.e. Smaller The sensitivity to changes is low, and the real-time air intake adjustment is relatively slow; for Within the interval, i.e. When larger It is highly sensitive to changes and can adjust the air intake volume quickly in real time.

[0079] In some embodiments, the lower limit of the air intake volume is set to 50 m³ / h, and the upper limit of the air intake volume is set to 70 m³ / h.

[0080] The air intake volume is set to be higher than the minimum air volume required to maintain stable airflow in the reaction zone and avoid local overheating, and lower than the upper limit of the air volume that would cause significant particle breakage and visible dust generation.

[0081] Because fluidized beds require a minimum air velocity (minimum fluidizing velocity) to lift the particles in the bed and keep them in a fluidized state, if the airflow rate is below this critical value, the particles cannot be fully fluidized, leading to bed collapse. Once the bed collapses, the airflow channels become blocked, the drying process completely fails, and may even require shutdown for cleaning, causing production accidents and economic losses. Through preliminary experimental determination, under the material feeding conditions of the example, setting the lower limit of the airflow rate to 50 m³ / h, regardless of the output result of the piecewise weighting function, the airflow rate of the fluidized bed will not fall below this lower limit. This physically eliminates the risk of bed collapse. However, this value is only for illustrative purposes and does not constitute a limitation on the scope of protection of this invention.

[0082] Excessive air velocity can cause violent collisions, friction, and impacts against the equipment walls of the particles within the bed. This not only leads to particle breakage and the generation of excessive fine powder, affecting the particle size distribution and quality of the final product, but also accelerates equipment wear. In the example material feeding scenario, setting the upper limit of the air intake to 70 m³ / h helps protect the physical integrity of the particles while reducing equipment maintenance costs. However, this value is for illustrative purposes only and does not constitute a limitation on the scope of protection of this invention.

[0083] To avoid excessive airflow during the drying process leading to particle breakage, and insufficient airflow leading to particle aggregation and fluidized bed collapse, the airflow is limited to a range between a lower and upper limit. Those skilled in the art can determine the specific range of the lower and upper limits based on the material input, particle density, and material fluidization state. Experiments show that in some specific embodiments, this airflow range corresponds to approximately 50~70 m³ / h, but this value is for illustrative purposes only and does not constitute a limitation on the scope of protection of this invention.

[0084] Please refer to Figure 2 , Figure 2This is a schematic diagram of a control system for the moisture content of fluidized bed particles drying provided in an embodiment of this application. This application also provides a control system for the moisture content of fluidized bed particles drying, the system comprising: an acquisition module for acquiring the initial moisture content, target drying time, and target moisture content at the drying endpoint of the fluidized bed particles; a generation module for generating a set moisture content curve based on the initial moisture content, the target drying time, and the target moisture content, the set moisture content curve being used to characterize the set moisture content of the fluidized bed particles at various times during the drying process; and an adjustment module for obtaining a real-time moisture content deviation based on the real-time moisture content of the fluidized bed particles and the set moisture content at the corresponding time during the fluidized bed particle drying process; inputting the real-time moisture content deviation into a preset piecewise weighted function to obtain the output result of the piecewise weighted function; and linearly adjusting the real-time airflow of the fluidized bed according to the output result of the piecewise weighted function to make the real-time moisture content deviation approach zero and reach the target moisture content at the target drying time.

[0085] Please refer to Figure 3 , Figure 3 A control system loop diagram for controlling the moisture content of fluidized bed particle drying provided in this application embodiment. (See diagram below.) Figure 3 As shown, the controlled object is the fluidized bed particle drying process, and FS(t) represents the real-time fluidization state of the fluidized bed particles. The measuring transmitter includes an online moisture meter and a data analysis and processing unit, and the actuator is an air intake fan; the controlled variable is the real-time moisture content, the control signal is the real-time air intake volume, and the manipulated variable is the air intake velocity.

[0086] In some embodiments, please refer to Figure 4 , Figure 4 This is a schematic diagram illustrating the information transmission of a control system for controlling the moisture content of fluidized bed particle drying, provided in an embodiment of this application. (See diagram below.) Figure 4 As shown, the adjustment module also includes an online moisture measurement unit and a data analysis and processing unit. The online moisture measurement unit is used to detect the real-time moisture content of the fluidized bed particles; this unit can be an online moisture meter. The data analysis and processing unit is used to obtain the real-time moisture content deviation based on the real-time moisture content of the fluidized bed particles and the set moisture content at the corresponding time.

[0087] In some alternative implementations, the data terminal and data analysis and processing unit of the online moisture meter are integrated into the same computer terminal, the online moisture meter is electrically connected to the computer terminal, and the computer terminal is electrically connected to the air inlet fan of the fluidized bed.

[0088] The method and system for controlling the moisture content of fluidized bed particle drying proposed in this application can optimize the particle drying time while ensuring that the particle size properties are basically consistent at the drying endpoint. This is beneficial for improving drying efficiency and process stability, and reducing the difficulty and labor intensity of operators. Specific embodiments will be described below:

[0089] Example 1

[0090] The above-described method and system for controlling the moisture content in fluidized bed particle drying were applied to the fluidized bed drying process of a certain traditional Chinese medicine granules. Please refer to [reference needed]. Figure 5 , Figure 5 This diagram illustrates the control results of moisture content in fluidized bed particle drying according to an embodiment of this application. The target drying time is 900 s, and the target moisture content is 6.5%. Figure 5 As shown, during the particle drying process, the measured real-time moisture content deviated from the set moisture content several times, indicating a deviation from the set moisture content curve during the drying process. The control system, based on a piecewise weighted function control strategy, rapidly reduces the real-time airflow when the real-time moisture content is lower than the set moisture content, slowing down the drying rate and optimizing the moisture content change curve. When the real-time moisture content recovers to the set moisture content, the real-time airflow is adjusted to a moderate level to ensure the drying process conforms to the set moisture content curve. The control system can restore the real-time moisture content to the set moisture content within 5-40 seconds after it deviates from the set moisture content, and dry the moisture content to 6.5% within the set target drying time of 900 seconds, achieving the drying target. The fluidized bed particle drying moisture content control method and system provided in this application embodiment realizes real-time moisture content detection and automatic control of the drying endpoint, effectively controlling moisture changes during the particle drying process and providing strong technical support for precise control of the particle drying process in actual production.

[0091] Example 2

[0092] The above-described method and system for controlling the moisture content in fluidized bed particle drying were applied to the fluidized bed drying process of a certain traditional Chinese medicine granules. Please refer to [reference needed]. Figure 6 , Figure 6 This diagram illustrates the control results of moisture content in fluidized bed particle drying provided in this embodiment. The target drying time is 720 s, a reduction of 180 s compared to Example 1, and the target moisture content is 6.5%. Figure 6As shown, during the particle drying process, the real-time moisture content deviated from the set moisture content several times. Based on a piecewise weighted function control strategy, the control system rapidly increased the real-time airflow when the real-time moisture content exceeded the set moisture content, thereby increasing the drying rate, optimizing the moisture content change curve, and preventing the drying process from being too slow. Once the real-time moisture content returned to the set moisture content, the real-time airflow was adjusted to a moderate level to ensure the drying process conformed to the set moisture content curve. The control system can restore the real-time moisture content to the set moisture content within 5-30 seconds after it deviates from the set moisture content, and dry the moisture content to 6.5% within the set drying target of 720 seconds, thus achieving the drying target. This demonstrates that the control system still possesses strong processing capabilities even with a 180-second reduction in drying time.

[0093] Example 3

[0094] The above-described method and system for controlling the moisture content in fluidized bed particle drying were applied to the fluidized bed drying process of a certain traditional Chinese medicine granules. Please refer to [reference needed]. Figure 7 , Figure 7 This diagram illustrates the control results of moisture content in fluidized bed particle drying provided in this embodiment. The target drying time is 1080 s, an increase of 180 s compared to Example 1, and the target moisture content is 6.5%. Figure 7 As shown, during the particle drying process, the real-time moisture content deviated from the set moisture content several times. When the real-time moisture content fell below the set moisture content, the control system, based on a piecewise weighted function-based control strategy, rapidly reduced the real-time airflow, slowed down the drying rate, optimized the moisture content change curve, and avoided over-drying. The control system was able to restore the real-time moisture content to the set moisture content within 50 seconds after it deviated from the set moisture content, and dried the moisture content to 6.5% within the set 1080 seconds, achieving the drying target. This demonstrates that the control system still possesses strong adaptability even with an additional 180 seconds of drying time.

[0095] To determine the particle size distribution of particles from Examples 1, 2, and 3 under three different drying conditions, particle size was determined by sieving at the drying endpoints of each group. Please refer to... Figure 8 , Figure 8 This is a schematic diagram of the screening results provided in the embodiments of this application, such as... Figure 8 As shown, although the three drying conditions are different, the final particle size properties are basically the same. This indicates that the fluidized bed particle drying moisture content control method and system provided in this application can controllably extend or shorten the particle drying time while ensuring the particle size quality properties, and can detect the change in moisture content during the particle drying process in real time. This is of great significance for improving particle drying efficiency, shortening drying time, and reducing energy consumption.

[0096] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0097] In this embodiment, the control system for the moisture content of fluidized bed particle drying is presented in the form of functional units. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0098] Please see Figure 9 , Figure 9 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application, such as... Figure 9 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 9 Take a processor 10 as an example.

[0099] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0100] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0101] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0102] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0103] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0104] This application also provides a computer-readable storage medium. The methods described in this application can be implemented in hardware or firmware, or implemented as recordable on a storage medium, or implemented as computer code downloaded over a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and subsequently stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the methods shown in the above embodiments are implemented.

[0105] This application provides a computer program product including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the method of any embodiment of this application.

[0106] The systems, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, a computer can be, for example, a personal computer, laptop computer, cellular phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or any combination of these devices.

[0107] For ease of description, the above devices are described separately by function as various units. Of course, in implementing this application, the functions of each unit can be implemented in one or more software and / or hardware.

[0108] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0109] This application is described with reference to flowchart illustrations and / or block diagrams of methods, systems, and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0110] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0111] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0112] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0113] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on its differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0114] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

[0115] Although embodiments of this application have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of this application, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method of controlling the moisture content of fluid bed granules, characterised in that, The method comprises: obtaining an initial moisture content of fluidized bed particles, a target drying time, and a target moisture content at a drying end point; generating a set moisture content curve based on the initial moisture content, the target drying time, and the target moisture content, the set moisture content curve being used to represent a set moisture content of the fluidized bed particles at each time during drying; during drying of the fluidized bed particles, obtaining a real-time moisture content deviation according to a real-time moisture content of the fluidized bed particles and the set moisture content at a corresponding time; inputting the real-time moisture content deviation into a preset piecewise weight function to obtain an output result of the piecewise weight function, and linearly adjusting a real-time air intake amount of the fluidized bed according to the output result of the piecewise weight function, so that the real-time moisture content deviation approaches zero and the target moisture content is reached at the target drying time, wherein: if the real-time moisture content deviation is less than a first threshold value, the output result of the piecewise weight function is 1, and the real-time air intake amount is set as a lower limit value of the air intake amount; if the real-time moisture content deviation is greater than or equal to the first threshold value and less than or equal to a second threshold value, the output result of the piecewise weight function is greater than or equal to 0 and less than or equal to 1, and the real-time air intake amount of the fluidized bed linearly decreases with an increase in the output result of the piecewise weight function; if the real-time moisture content deviation is greater than the second threshold value, the output result of the piecewise weight function is 0, and the real-time air intake amount is set as an upper limit value of the air intake amount; wherein the first threshold value is a negative real number, and the second threshold value is a positive real number.

2. The method of claim 1, wherein, For any time during drying, the set moisture content is determined as follows: calculating a first difference value between the initial moisture content and the target moisture content; determining a ratio of a current drying time to the target drying time; calculating a product of the first difference value and the ratio; calculating a second difference value between the initial moisture content and the product, and taking the second difference value as the set moisture content at the current time.

3. The method of claim 1, wherein, The method further comprises: adjusting a value of an exponential parameter in the piecewise weight function to change a response sensitivity characteristic for different real-time moisture content deviations.

4. The method of claim 3, wherein, If the exponential parameter in the piecewise weight function is greater than 1, the piecewise weight function is a convex function in the interval between the first threshold value and the second threshold value.

5. The method of claim 3, wherein, If the exponential parameter in the piecewise weight function is greater than 0 and less than 1, the piecewise weight function is a concave function in the interval between the first threshold value and the second threshold value.

6. A fluidized bed granule drying moisture content control system capable of implementing the fluidized bed granule drying moisture content control method according to any one of claims 1 to 5, characterized by, The system comprises: an obtaining module configured to obtain an initial moisture content of fluidized bed particles, a target drying time, and a target moisture content at a drying end point; a generating module configured to generate a set moisture content curve based on the initial moisture content, the target drying time, and the target moisture content, the set moisture content curve being used to represent a set moisture content of the fluidized bed particles at each time during drying; and an adjusting module configured to, during drying of the fluidized bed particles, obtain a real-time moisture content deviation according to a real-time moisture content of the fluidized bed particles and the set moisture content at a corresponding time; input the real-time moisture content deviation into a preset piecewise weight function to obtain an output result of the piecewise weight function, and linearly adjust a real-time air intake amount of the fluidized bed according to the output result of the piecewise weight function, so that the real-time moisture content deviation approaches zero and the target moisture content is reached at the target drying time. The adjusting module is configured to obtain a real-time moisture content deviation of the fluidized bed particles according to the real-time moisture content of the fluidized bed particles and the set moisture content at the corresponding time during the fluidized bed particle drying process; input the real-time moisture content deviation into a preset segmented weight function to obtain an output result of the segmented weight function; and linearly adjust a real-time air inlet amount of the fluidized bed according to the output result of the segmented weight function, so that the real-time moisture content deviation approaches zero, and the target drying time reaches the target moisture content.

7. The control system of claim 6, wherein, The adjusting module further comprises: An online moisture measurement unit configured to detect the real-time moisture content of the fluidized bed particles. A data analysis and processing unit configured to obtain the real-time moisture content deviation according to the real-time moisture content of the fluidized bed particles and the set moisture content at the corresponding time.

8. A computer device, comprising: Comprise: A memory and a processor, which are in communication connection with each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the moisture content real-time control method of the fluidized bed particle drying process according to any one of claims 1 to 5.

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