A fluidized bed fluidization state control method, system, device and medium

Abstract

This application relates to the technical field of fluidized beds, and discloses a method, system, device and medium for controlling the fluidization state of a fluidized bed. Among them, the method includes: collecting spectral data of the fluidized bed material; dividing the spectral data into multiple window regions along a moving window, and each window region includes multiple continuously collected spectra; for each spectrum in the window region, extracting the total absorbance of the spectrum in a set wavelength range; based on the total absorbance of each extracted spectrum, obtaining the total absorbance skewness; based on the total absorbance skewness, obtaining a fluidization state analysis result; according to the fluidization state analysis result, adjusting the liquid spraying speed to improve the fluidization quality, solving the technical problem of poor control of the fluidization state of the fluidized bed in the related art, and being able to ensure that the fluidized bed always maintains the best fluidization state, achieving the technical effect of improving the granulation efficiency and process stability.

Description

Technical Field

[0001] The present application relates to the technical field of fluidized beds, and particularly to a method, system, device and medium for controlling the fluidization state of a fluidized bed. Background Art

[0002] Fluidized bed spray granulation utilizes air flow to keep materials in a suspended fluidized state in a fluidized bed, and at the same time sprays atomized binder liquid to agglomerate material powders into granules. It can complete traditional mixing, drying, granulation, and coating in the same closed instrument at one time, realizing one-step granulation. One-step granulation in a fluidized bed has many advantages. Compared with other methods, it has characteristics such as simple process, short operation time, and low labor intensity, and has been widely used in industries such as pharmaceuticals, chemicals, and agronomy.

[0003] In a device, granular materials are piled on a distribution plate. When gas is introduced into the bed layer from the lower part of the device, as the gas flow rate increases to a certain extent, the solid particles generate a boiling state on the bed layer, and this state is called the fluidization state. The fluidized bed granulation process is complex. Only under the condition of maintaining the normal fluidization state can the process proceed normally. The over-fluidization state and the loss-of-flow state are both abnormal process conditions in the process, and the process needs to be adjusted to reduce or avoid unnecessary economic losses.

[0004] During the granulation process, the monitoring and regulation of the fluidization state are of great significance for maintaining the stability of the granulation process. Currently, the monitoring methods for the fluidization state include the differential pressure method, the image method, etc. However, these methods have their own deficiencies. For example, the differential pressure method is easily affected by filter bag blockage, and the acquisition and analysis of images are also relatively difficult. Summary of the Invention

[0005] The present application provides a method, system, device and medium for controlling the fluidization state of a fluidized bed, which solves the technical problem of poor control of the fluidization state in the related art, can ensure that the fluidized bed always maintains the best fluidization state, and achieves the technical effects of automatically regulating the fluidization state, improving the granulation efficiency and process stability.

[0006] In order to achieve the above object, the main technical solutions adopted in the present application include:

[0007] In a first aspect, an embodiment of the present application provides a method for controlling the fluidization state of a fluidized bed, including: collecting spectral data of the fluidized bed material; dividing the spectral data into multiple window regions along a moving window, where each window region includes multiple continuously collected spectra; for each spectrum in the window region, extracting the total absorbance of the spectrum in a set wavelength range; based on the total absorbance of each extracted spectrum, obtaining the skewness of the total absorbance; based on the skewness of the total absorbance, obtaining an analysis result of the fluidization state; according to the analysis result of the fluidization state, adjusting the liquid spraying speed to improve the fluidization quality.

[0008] A method for controlling the fluidization state of a fluidized bed proposed by an embodiment of the present application includes: collecting spectral data of the fluidized bed material; dividing the spectral data into multiple window regions along a moving window, where each window region includes multiple continuously collected spectra; for each spectrum in the window region, extracting the total absorbance of the spectrum in a set wavelength range; based on the total absorbance of each extracted spectrum, obtaining the skewness of the total absorbance; based on the skewness of the total absorbance, obtaining an analysis result of the fluidization state; according to the analysis result of the fluidization state, adjusting the liquid spraying speed to improve the fluidization quality, which solves the technical problem of poor control of the fluidization state of the fluidized bed in the related art, can ensure that the fluidized bed always maintains the best fluidization state, reduces the frequency of bed collapse accidents caused by the deterioration of the fluidization state, and achieves the technical effects of automatically regulating the fluidization state, improving the granulation efficiency and process stability.

[0009] Optionally, the fixed length of the moving window is , where .

[0010] Optionally, the starting wavelength of the set wavelength range is , and the ending wavelength is , where 850 nm ≤ ≤ 1000 nm, 1600 nm ≤ ≤ 1750 nm.

[0011] Optionally, obtaining the analysis result of the fluidization state based on the skewness of the total absorbance specifically includes:

[0012]

[0013] In the above formula, is the skewness of the total absorbance, and is the corresponding analysis result of the fluidization state.

[0014] Optionally, adjusting the liquid spraying speed according to the analysis result of the fluidization state specifically includes: adjusting the rotation speed of the peristaltic pump based on the fluidization state deviation between the analysis result of the fluidization state and the preset fluidization standard to adjust the liquid spraying speed.

[0015] Optionally, based on the fluidization state deviation between the fluidization state analysis result and a preset fluidization standard, the rotational speed of the peristaltic pump is adjusted. Specifically, the fluidization state deviation is sequentially divided into non-overlapping first threshold range, second threshold range, and third threshold range from small to large, where: when the fluidization state deviation is within the first threshold range, the rotational speed of the peristaltic pump is adjusted to a first rotational speed; when the fluidization state deviation is within the second threshold range, the rotational speed of the peristaltic pump is adjusted to a second rotational speed; when the fluidization state deviation is within the third threshold range, the rotational speed of the peristaltic pump is adjusted to a third rotational speed; wherein, the first rotational speed is greater than the second rotational speed, and the second rotational speed is greater than the third rotational speed.

[0016] In a second aspect, an embodiment of the present application provides a fluidized bed fluidization state control system. The system includes: a collection module, configured to collect spectral data of the fluidized bed material; an analysis module, configured to divide the spectral data into multiple window regions along a moving window, where each window region includes multiple continuously collected spectra; for each spectrum in the window region, extract the total absorbance of the spectrum in a set wavelength interval; based on the total absorbance of each extracted spectrum, obtain the total absorbance skewness; and based on the total absorbance skewness, obtain a fluidization state analysis result; an adjustment module, configured to adjust the liquid spraying speed according to the fluidization state analysis result to improve the fluidization quality.

[0017] Optionally, the collection module includes: a near-infrared probe, a spectrometer, and a data terminal connected in sequence.

[0018] In a third aspect, an embodiment of the present application provides a computer device, including: a memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to execute the above-mentioned fluidized bed fluidization state control method.

[0019] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to cause a computer to execute the above-mentioned fluidized bed fluidization state control method.

[0020] In a fifth aspect, an embodiment of the present application provides a computer program product, including computer instructions, and the computer instructions are used to cause a computer to execute the above-mentioned fluidized bed fluidization state control method. Description of the Drawings

[0021] To more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the accompanying drawings required for the description of the specific embodiments or the prior art. Obviously, the accompanying drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.

[0022] Figure 1 It is a flowchart of the fluidized bed fluidization state control method provided by the embodiment of the present application;

[0023] Figure 2 It is a schematic diagram of the online analysis and control results of the fluidized bed fluidization state provided by the first embodiment of the present application;

[0024] Figure 3 It is a schematic diagram of the online analysis and control results of the fluidized bed fluidization state provided by the second embodiment of the present application;

[0025] Figure 4 It is a schematic diagram of the online analysis and control results of the fluidized bed fluidization state provided by the third embodiment of the present application;

[0026] Figure 5 It is a schematic diagram of the online analysis and control results of the fluidized bed fluidization state provided by the fourth embodiment of the present application;

[0027] Figure 6 It is a schematic diagram of the fluidized bed fluidization state control system provided by the embodiment of the present application;

[0028] Figure 7 It is a schematic diagram of the fluidized bed fluidization state feedback control provided by the embodiment of the present application;

[0029] Figure 8 It is a schematic diagram of the signal transmission of the fluidized bed fluidization state control system provided by the embodiment of the present application;

[0030] Figure 9 It is a schematic diagram of the structure of a computer device provided by the embodiment of the present application. Specific Embodiments

[0031] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0032] Fluidized bed spray granulation utilizes air flow to keep materials in a suspended and fluidized state within the fluidized bed, while spraying atomized binder liquid to cause the material powder to agglomerate into granules. It can complete traditional mixing, drying, granulation, and coating in the same closed instrument at once, achieving one-step granulation. Fluidized bed one-step granulation has many advantages. Compared with other methods, it has characteristics such as simple process, short operation time, and low labor intensity, and has been widely applied in industries such as pharmaceuticals, chemicals, and agronomy.

[0033] In a device, granular materials are piled on a distribution plate. When gas is introduced into the bed layer from the lower part of the device, as the gas flow rate increases to a certain extent, the solid particles generate a boiling state on the bed layer, and this state is called the fluidized state. The fluidized bed granulation process is complex. Only under the condition of maintaining a normal fluidized state can the process proceed normally. The over-fluidized state and the de-fluidized state are both abnormal process conditions during the process, and the process needs to be adjusted to reduce or avoid unnecessary economic losses.

[0034] During the granulation process, the monitoring and regulation of the fluidized state are of great significance for maintaining the stability of the granulation process. Currently, the monitoring methods of the fluidized state include the differential pressure method, the image method, etc. However, these methods have their own deficiencies. For example, the differential pressure method is easily affected by filter bag blockage, and the acquisition and analysis of images are also relatively difficult. In recent years, with the development of process analysis technology, near-infrared spectroscopy technology has been widely applied to online process analysis, and it has gradually received attention for its advantages of fast, non-destructive, and real-time. Through near-infrared spectroscopy technology, physical and chemical information of materials during the granulation process, such as moisture content, particle size distribution, etc., can be obtained, providing a new means for the precise monitoring of the fluidized state. In addition, combined with chemometric methods, near-infrared spectroscopy technology can model and analyze complex process data, thereby realizing the precise prediction and regulation of the fluidized state. This method can not only improve the stability of the granulation process and the quality consistency of products, but also reduce material waste and energy consumption, with significant economic and environmental benefits.

[0035] The embodiment of the present application provides an embodiment of a method for controlling the fluidized state of a fluidized bed. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order from here.

[0036] In this embodiment, a method for controlling the fluidized state of a fluidized bed is provided. Figure 1 For the flowchart of the method for controlling the fluidized state of the fluidized bed provided by the embodiment of the present application, as Figure 1 shown, this process includes the following steps:

[0037] Step S1, collect spectral data of the fluidized bed material.

[0038] Specifically, collect diffuse reflectance near-infrared spectral data of the fluidized bed material inside the monitoring window. Among them, the near-infrared sensor is fixed outside the monitoring window of the fluidized bed, and the irradiation area is located in the dense phase region of the fluidized bed. A dual light source beam is used to focus on the inside of the monitoring window of the fluidized bed to monitor the fluidization state of the material during the fluidization process. The parallel near-infrared beam passes through the glass of the monitoring window, and the two beams are focused on the second end face of the monitoring window. The diffuse reflectance near-infrared spectra under different fluidization states of the material are different.

[0039] Step S3, divide the spectral data into multiple window regions along a moving window, and each window region includes multiple continuously collected spectra.

[0040] Among them, the spectral data includes multiple continuously collected spectra. The moving window has a fixed length and a moving step size. The moving window has a fixed length and a moving step size. The moving window moves along the time direction of spectral data collection. Based on the fixed length and moving step size of the moving window, the spectral data can be divided into multiple continuous window regions. The size of the fixed length of the moving window is related to the collection rate. Each window region includes multiple continuously collected spectra. For example, the length of the moving window is 30, that is, each window region includes 30 continuously collected spectra. For example, the moving step size is 1, that is, the moving window moves forward by one spectrum each time, and there can be an overlap between multiple window regions.

[0041] Step S5, for each spectrum in the window region, extract the total absorbance of the spectrum in a set wavelength range.

[0042] For example, the fixed length of the moving window is , that is, the window region contains spectra. Calculate the total absorbance of each spectrum in the window region within the set wavelength range. For example, there are 100 wavelength points in the set wavelength range. For each spectrum, the absorbances at each wavelength point within the set wavelength range are respectively expressed as , ... , and the total absorbance of the spectrum can be expressed as:

[0043] .

[0044] Step S7, based on the total absorbances of the extracted spectra, obtain the total absorbance skewness.

[0045] For example, the window region has spectra, and the total absorbances of each spectrum are respectively expressed as: , ,..., , then the mean value of the total absorbance and the standard deviation are expressed as:

[0046]

[0047]

[0048] Then, the skewness of the total absorbance is expressed as:

[0049]

[0050] Step S9, based on the skewness of the total absorbance, obtain the fluidization state analysis result.

[0051] Among them, the fluidization state refers to the motion state of the materials in the fluidized bed. During the fluidization process, the distribution and motion state of the materials will affect their light absorption characteristics. The skewness of the total absorbance can be used to characterize the fluidization state. For example, a higher absolute value of the skewness of the total absorbance usually indicates a more stable fluidization state, uniform material distribution, and better fluidization effect. A lower absolute value of the skewness of the total absorbance indicates an unstable fluidization state, and there may be abnormal situations such as local accumulation and over-fluidization.

[0052] Using the skewness of the total absorbance as the fluidization state judgment index has high calculation efficiency and is convenient to use.

[0053] Step S11, according to the fluidization state analysis result, adjust the liquid spraying speed to improve the fluidization quality.

[0054] Among them, the fluidization state analysis result can be used to indicate the fluidization state at the current moment. The fluidization state analysis results of different window regions correspond to the fluidization states at different moments. Based on the fluidization state analysis result, adjust the rotation speed of the peristaltic pump, thereby adjusting the liquid spraying speed, which can achieve the effect of improving the fluidization quality. By repeating steps S1 - S11, real-time analysis and control of the fluidization state can be achieved.

[0055] The fluidized bed fluidization state control method provided in this embodiment includes: collecting spectral data of the fluidized bed materials; dividing the spectral data into multiple window regions along a moving window, and each window region includes multiple continuously collected spectra; for each spectrum in the window region, extract the total absorbance of the spectrum in a set wavelength range; based on the total absorbance of each extracted spectrum, obtain the skewness of the total absorbance; based on the skewness of the total absorbance, obtain the fluidization state analysis result; according to the fluidization state analysis result, adjust the liquid spraying speed to improve the fluidization quality, which solves the technical problem of poor control of the fluidization state in the related art, can ensure that the fluidized bed always maintains the best fluidization state, reduces the frequency of collapse accidents caused by the deterioration of the fluidization state, and achieves the technical effects of automatically regulating the fluidization state, improving the granulation efficiency and process stability.

[0056] In some embodiments, the fixed length of the moving window is , where .

[0057] Preferably, the fixed length of the moving window is 30. That is, the moving window includes 30 continuously collected spectra.

[0058] In some embodiments, the starting wavelength of the set wavelength range is , and the ending wavelength is , where 850 nm ≤ ≤ 1000 nm, 1600 nm ≤ ≤ 1750 nm.

[0059] Preferably, the set wavelength range is 950 - 1650 nm. The selection of the set wavelength range is related to the parameters of the spectrometer. By extracting the total absorbance of the spectrum in the set wavelength range, it can be used to analyze the fluidization state of the material in the fluidized bed.

[0060] In some embodiments, based on the skewness of the total absorbance, a fluidization state analysis result is obtained, specifically including:

[0061]

[0062] In the above formula, is the skewness of the total absorbance, is the corresponding fluidization state analysis result.

[0063] For example, ranges from 0 to 100%. When is 0, takes a value of 0. As the absolute value increases, gradually approaches 100%.

[0064] Through the above function mapping, the skewness of the total absorbance is mapped to 0 - 100%. The fluidization state analysis result is a percentage value, realizing the quantitative description of the fluidization state in the fluidized granulation process in percentage form, enabling users to more intuitively clarify the fluidization state at the current moment through quantitative indicators.

[0065] In some embodiments, according to the fluidization state analysis result, the liquid spraying speed is adjusted, specifically including: based on the fluidization state deviation between the fluidization state analysis result and the preset fluidization standard, the rotation speed of the peristaltic pump is adjusted to adjust the liquid spraying speed.

[0066] Among them, the motion state of the materials in the fluidized bed can directly characterize the fluidization state of the fluidized bed. When the fluidized bed is in a poor fluidization state, the materials are in a piled state, the void fraction of the bed layer is low, the spectral baseline is at a low level, and the fluctuation of the spectral absorbance is small. When the fluidized bed is in a normal fluidization state, the materials are in a relatively stable motion mode, the void fraction of the bed layer fluctuates within a certain range, the spectral baseline is at a normal level, and the fluctuation of the spectral absorbance is large. Therefore, according to the change of the spectral absorbance within a moving window of a fixed length, the fluidization state of the fluidized bed can be detected. Based on the fluidization state deviation between the fluidization state analysis result and the preset fluidization standard, the rotation speed of the peristaltic pump is adjusted through a rule-based control strategy combined with expert knowledge to adjust the liquid spraying speed, thereby controlling the fluidization state.

[0067] In some embodiments, based on the fluidization state deviation between the fluidization state analysis result and the preset fluidization standard, adjusting the rotation speed of the peristaltic pump specifically includes dividing the fluidization state deviation into non-overlapping first threshold range, second threshold range and third threshold range from small to large in turn, where: when the fluidization state deviation is within the first threshold range, the rotation speed of the peristaltic pump is adjusted to the first rotation speed; when the fluidization state deviation is within the second threshold range, the rotation speed of the peristaltic pump is adjusted to the second rotation speed; when the fluidization state deviation is within the third threshold range, the rotation speed of the peristaltic pump is adjusted to the third rotation speed; among them, the first rotation speed is greater than the second rotation speed, and the second rotation speed is greater than the third rotation speed.

[0068] Specifically, the fluidization state deviation can be expressed as:

[0069]

[0070] Among them, is the preset fluidization standard, is the fluidization state analysis result, is the fluidization state deviation. Preferably, the preset fluidization standard is set to 100%.

[0071] The above control rule is to determine the rotation speed of the peristaltic pump according to the fluidization state deviation to adjust the liquid spraying speed, so as to automatically control the fluidization state. For example: when the fluidization state deviation is in , the rotation speed of the peristaltic pump is set to ; when the fluidization state deviation is in , the rotation speed of the peristaltic pump is set to ; when the fluidization state deviation is in , the rotation speed of the peristaltic pump is set to . Among them, the skewness of the total absorbance within the moving window is mapped to a fixed interval , and the fixed interval is preferably . , , preferably 20 , preferably 10 , preferably 0 , preferably 60%, preferably 70%.

[0072] In addition, if the fluidization state deviation is in the increasing process and reaches the above rotational speed change condition, the rotational speed change of the peristaltic pump takes effect immediately. If the fluidization state deviation is in the decreasing process and reaches the above rotational speed change condition, there is a lag of duration before the rotational speed change of the peristaltic pump. Preferably, it is set to 1 .

[0073] Specifically, if the fluidization state deviation is in , that is, the fluidization state analysis result is in , it indicates that the fluidization state is good. If the fluidization state deviation is in , that is, the fluidization state analysis result is in , it indicates that the fluidization state is poor. If the fluidization state deviation is in , that is, the fluidization state analysis result is in at this time, it indicates that the fluidization state is relatively poor, there is a risk of bed collapse, and measures need to be taken immediately to prevent bed collapse.

[0074] In the embodiment of the present application, by using the above control rules, by setting a preset fluidization standard, the change of the fluidization state is associated with the rotational speed of the peristaltic pump of the liquid spraying device, and the fluidization state is improved by appropriately reducing the rotational speed of the peristaltic pump, avoiding the occurrence of bed collapse phenomenon, realizing the automatic control of the fluidization state, improving the success rate of the fluidized bed granulation process, effectively reducing the production cost and material waste, which will be specifically described below in combination with embodiments.

[0075] Embodiment 1

[0076] Embodiment 1 provides a method for controlling the fluidization state of a fluidized bed, which is applied to the fluidized bed granulation process of a traditional Chinese medicine, and includes the following steps:

[0077] Step S101: Collect real-time spectral data. Among them, the diffuse reflection near-infrared spectral detection range is set to 900 - 1700 nm, and 1 spectral line is collected every 0.1 s.

[0078] Step S103: Moving window selection. Select a moving window with a fixed length of 30, and each moving window includes 30 spectral lines. The spectral data is divided into multiple window regions.

[0079] Step S105: Extract the total absorbance. Calculate the sum of the absorbances of each spectrum in the window region within the wavelength range of 950 - 1650 nm to obtain the total absorbance of each spectrum.

[0080] Step S107: Calculate the skewness of the total absorbance based on the total absorbances of the spectra in the window region.

[0081] Step S109: Obtain the fluidization state analysis result based on the skewness of the total absorbance. The functional relationship between the skewness of the total absorbance and the fluidization state analysis result is as follows:

[0082]

[0083] where, is the skewness of the total absorbance, is the corresponding fluidization state analysis result. The value range of is 0 - 100%. When is 0, takes the value of 0. As the absolute value increases, gradually approaches 100%.

[0084] Step S111: Adjust the liquid spraying speed. According to the real-time fluidization state analysis result, dynamically adjust the liquid spraying speed according to the preset control rules to improve the fluidization quality. The specific control rules are as follows: If the fluidization state analysis result is in , the peristaltic pump speed is set to 20 rpm; if the fluidization state result is in , the peristaltic pump speed is set to 10 rpm; if the fluidization state result is in , the peristaltic pump speed is set to 0 rpm. When the fluidization state deviation is in the increasing process, the change of the peristaltic pump speed takes effect immediately; when the fluidization state deviation is in the decreasing process, there is a 1 s lag before the change of the peristaltic pump speed.

[0085] Repeat the above steps S101 - step S111 to realize the real-time analysis and control of the fluidization state.

[0086] Please refer to Figure 2 , Figure 2 which is the schematic diagram of the online analysis and control result of the fluidization state of the fluidized bed provided by Embodiment 1 of the present application. As shown in Figure 2As shown, during the spray granulation process, the fluidization state analysis results deteriorated multiple times and dropped below 30%, presenting a risk of bed collapse. According to the preset control rules, when the fluidization state analysis result is lower than the threshold, the peristaltic pump speed is rapidly reduced to decrease the liquid spraying speed, improve the fluidization state, and avoid the occurrence of bed collapse. After the fluidization state rises back to the threshold, the peristaltic pump speed is restored after a 1 s delay to enhance the stability of the granulation process. The fluidized bed fluidization state control method provided in Example 1 can restore the fluidization state to a good state within 5 - 20 s after the fluidization state deteriorates, achieving real-time analysis and automatic control of the fluidization state, effectively reducing the probability of bed collapse, and having a significant beneficial effect on cost reduction and efficiency improvement in actual production.

[0087] Example 2

[0088] Example 2 provides a fluidized bed fluidization state control method, which is applied to the fluidized bed granulation process of a certain traditional Chinese medicine. For the specific steps, please refer to Example 1 and will not be elaborated here. Compared with Example 1, the air volume in Example 2 is increased by 6 , to test the adaptability to different air volume conditions.

[0089] Please refer to Figure 3 , Figure 3 , which is a schematic diagram of the on-line analysis and control results of the fluidized bed fluidization state provided in Example 2 of this application. As Figure 3 shown, during the spray granulation process, the fluidization state analysis results deteriorated several times and dropped below 30%, presenting a risk of bed collapse. By reducing the peristaltic pump speed, the fluidization state was effectively improved, and the occurrence of bed collapse was avoided. The fluidization state can be restored to a good state within 5 - 15 s after the fluidization state deteriorates. The fluidized bed fluidization state control method provided in Example 2 has strong adaptability to working conditions with different air volumes.

[0090] Example 3

[0091] Example 3 provides a fluidized bed fluidization state control method, which is applied to the fluidized bed granulation process of a certain traditional Chinese medicine. For the specific steps, please refer to Example 1 and will not be elaborated here. Compared with Example 1, the temperature in Example 3 is increased by 20°C to test the adaptability to different temperature conditions.

[0092] Please refer to Figure 4 , Figure 4 , which is a schematic diagram of the on-line analysis and control results of the fluidized bed fluidization state provided in Example 3 of this application. As Figure 4As shown, during the liquid spraying granulation process, the fluidization state analysis results deteriorated several times and dropped below 30%, posing a risk of bed collapse. By reducing the rotational speed of the peristaltic pump, the fluidization state was effectively improved, preventing bed collapse, and the fluidization state could be restored to a good state within 15 s after the fluidization state deteriorated. The fluidized bed fluidization state control method provided in Example 3 has strong adaptability to working conditions at different temperatures.

[0093] Example 4

[0094] Example 4 provides a fluidized bed fluidization state control method, which is applied to the granulation process of a traditional Chinese medicine fluidized bed. For the specific steps, please refer to Example 1 and will not be elaborated here.

[0095] Compared with Example 1, the spray gun pressure in Example 4 increased by 20 °C to test the adaptability to different spray liquid pressure conditions.

[0096] Please refer to Figure 5 , Figure 5 is a schematic diagram of the online analysis and control results of the fluidized bed fluidization state provided in Example 4 of this application. As Figure 5 shown, during the liquid spraying granulation process, the fluidization state analysis results deteriorated several times and dropped below 30%, posing a risk of bed collapse. The fluidized bed fluidization state control method provided in Example 4 effectively improved the fluidization state by reducing the rotational speed of the peristaltic pump, preventing bed collapse, and the fluidization state could be restored to a good state within 3 - 10 s after the fluidization state deteriorated. The fluidized bed fluidization state control method provided in Example 4 has strong adaptability to working conditions with different spray liquid pressures.

[0097] Correspondingly, please refer to Figure 6 , Figure 6 is a schematic diagram of the fluidized bed fluidization state control system provided in the embodiment of this application. As Figure 6 shown, it includes: a collection module for collecting spectral data of the fluidized bed material; an analysis module for dividing the spectral data into multiple window regions along a moving window, where each window region includes multiple continuously collected spectra; for each spectrum in the window region, extracting the total absorbance of the spectrum in a set wavelength range; for obtaining the total absorbance skewness based on the total absorbance of each extracted spectrum; and for obtaining the fluidization state analysis result based on the total absorbance skewness; an adjustment module for adjusting the spray liquid speed according to the fluidization state analysis result to improve the fluidization quality.

[0098] Among them, the acquisition module collects the near-infrared spectrum of the material inside the monitoring window in real time during the fluidized bed granulation process. The analysis module extracts the total absorbance of the spectrum, obtains the skewness of the total absorbance based on the extracted total absorbance, and converts the skewness of the total absorbance into a quantifiable fluidization state analysis result. The adjustment module adjusts the rotational speed of the peristaltic pump according to the fluidization state deviation between the fluidization state analysis result and the preset fluidization standard, and then adjusts the liquid spraying speed to achieve real-time control of the fluidization state.

[0099] Specifically, the acquisition module includes: a near-infrared probe, a spectrometer, and a data terminal connected in sequence. The near-infrared probe is optically connected to the near-infrared spectrometer, the near-infrared spectrometer is electrically connected to the computer terminal, and the computer terminal is electrically connected to the peristaltic pump. The data terminal of the acquisition module and the analysis module are integrated on the same computer terminal. The adjustment module includes a controller and an actuator, and the actuator is a peristaltic pump.

[0100] Please refer to Figure 7 , Figure 7 , which is a schematic diagram of the fluidization state feedback control of the fluidized bed provided by the embodiment of the present application. Please refer to Figure 8 , Figure 8 , which is a schematic diagram of the signal transmission of the fluidization state control system of the fluidized bed provided by the embodiment of the present application. As shown in Figure 7 and Figure 8 , in the fluidization state control system of the fluidized bed, the controlled object is the fluidized bed granulation process, and the measurement transmitter monitors the fluidization state of the material in the fluidized bed in real time and converts the information into an electrical signal. The measurement transmitter includes an acquisition module for collecting the spectrum and an analysis module for analyzing the fluidization state. The controller judges whether it is necessary to adjust the rotational speed of the peristaltic pump according to the fluidization state deviation between the measurement value of the fluidization state analysis result and the preset fluidization standard . The peristaltic pump adjusts the rotational speed according to the instruction of the controller, thereby changing the liquid spraying speed. As shown in Figure 7 , among them, the controlled variable is the fluidization state, the control signal is the rotational speed of the peristaltic pump, the manipulated variable is the liquid spraying speed , is the measurement value of the fluidization state analysis result, is the preset fluidization standard, is the fluidization state deviation, is the actual fluidization state. Through continuous monitoring, adjustment, and feedback, the fluidization state is maintained within an ideal range to ensure the stability of the granulation process and the product quality.

[0101] The further function descriptions of the above-mentioned various modules and units are the same as those in the corresponding above embodiments, and will not be repeated here.

[0102] The fluidized bed fluidization state control system in this embodiment is presented in the form of functional units. Here, the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and a memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0103] Please refer to Figure 9 , Figure 9 which is a schematic structural diagram of a computer device provided by an embodiment of the present application. As Figure 9 shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Each component communicates with each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some alternative embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (such as an array of servers, a set of blade servers, or a multi-processor system). Figure 9 In

[0104] which, one processor 10 is taken as an example.

[0105] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0106] The memory 20 may include a program storage area and a data storage area. The program storage area may store an operating system and application programs required for at least one function. The data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 may optionally include a memory remotely provided with respect to the processor 10, and these remote memories may be connected to the computer device through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0107] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk, or a solid-state drive; the memory 20 may further include a combination of the above types of memories.

[0108] The computer device further includes a communication interface 30 for communicating the computer device with other devices or communication networks.

[0109] The embodiments of the present application further provide a computer-readable storage medium. The methods according to the embodiments of the present application may be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented as computer code originally stored in a remote storage medium or a non-transitory machine-readable storage medium and downloaded through a network and to be stored in a local storage medium, so that the methods described herein can be processed by such software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium may be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium may also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code, and when the software or computer code is accessed and executed by the computer, the processor, or the hardware, the methods shown in the above embodiments are implemented.

[0110] The embodiments of the present application provide a computer program product. The computer program product includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the methods of any embodiment of the present application.

[0111] Although embodiments of the present 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 the present application, and such modifications and variations fall within the scope defined by the appended claims.

[0112] The systems, modules, or units illustrated in the above embodiments can be specifically implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer can be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or any combination of these devices.

[0113] For the convenience of description, the above devices are described by function as various units respectively. Of course, when implementing the present application, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0114] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented 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.

[0115] The present application is described with reference to the flowcharts and / or block diagrams of methods, systems, and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0116] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0117] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are executed on the computer or other programmable apparatus to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable apparatus provide steps for realizing the functions specified in one process or multiple processes and / or one block or multiple blocks in the flow. Figure 1 one process or multiple processes and / or blocks Figure 1 steps for realizing the functions specified in one block or multiple blocks.

[0118] It should also be noted that the term "comprise", "include" or any other variant thereof is intended to cover a non-exclusive inclusion, such that a process, method, commodity or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or further includes elements inherent to such process, method, commodity or apparatus. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, commodity or apparatus comprising the element.

[0119] Each embodiment in this specification is described in a progressive manner, and the same or similar parts among the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

[0120] The above are only the embodiments of the present application and are not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

[0121] Although the embodiments of the present application are 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 the present application, and such modifications and variations fall within the scope defined by the appended claims.

Claims

1. A fluidized bed fluidization state control method, characterized in that, The method includes: Collecting spectral data of fluidized bed materials; Dividing the spectral data into multiple window regions along a moving window, where each window region includes multiple continuously collected spectra; For each spectrum in the window region, extracting the total absorbance of the spectrum in a set wavelength range; Based on the total absorbance of each extracted spectrum, obtaining the skewness of the total absorbance; Based on the skewness of the total absorbance, obtaining a fluidization state analysis result, where the fluidization state analysis result is used to quantitatively describe the fluidization state of the fluidized bed; according to the fluidization state analysis result, adjusting the liquid spraying speed to improve the fluidization quality; Among them, according to the fluidization state analysis result, adjusting the liquid spraying speed specifically includes: based on the fluidization state deviation between the fluidization state analysis result and a preset fluidization standard, adjusting the rotation speed of the peristaltic pump to adjust the liquid spraying speed, including: sequentially dividing the fluidization state deviation into non-overlapping first threshold range, second threshold range, and third threshold range from small to large, where: when the fluidization state deviation is in the first threshold range, adjusting the rotation speed of the peristaltic pump to the first rotation speed; when the fluidization state deviation is in the second threshold range, adjusting the rotation speed of the peristaltic pump to the second rotation speed; when the fluidization state deviation is in the third threshold range, adjusting the rotation speed of the peristaltic pump to the third rotation speed; where the first rotation speed is greater than the second rotation speed, and the second rotation speed is greater than the third rotation speed.

2. The method according to claim 1, wherein The fixed length of the moving window is , where .

3. The method according to claim 1, wherein The starting wavelength of the set wavelength range is , and the ending wavelength is , where 850 nm ≤ ≤ 1000 nm, 1600 nm ≤ ≤ 1750 nm.

4. The method according to claim 1, wherein Based on the skewness of the total absorbance, obtaining a fluidization state analysis result, including: In the above formula, is the total absorbance skewness, is the corresponding fluidization state analysis result.

5. A fluidized bed fluidization state control system for implementing the fluidized bed fluidization state control method according to any one of claims 1-4, characterized in that, The system includes: A collection module for collecting spectral data of fluidized bed materials; An analysis module for dividing the spectral data into multiple window regions along a moving window, where each window region includes multiple continuously collected spectra; for extracting the total absorbance of the spectrum in a set wavelength range for each spectrum in the window region; for obtaining the skewness of the total absorbance based on the total absorbance of each extracted spectrum; and for obtaining a fluidization state analysis result based on the skewness of the total absorbance; An adjustment module for adjusting the liquid spraying speed according to the fluidization state analysis result to improve the fluidization quality.

6. The system according to claim 5, wherein The collection module includes: a near-infrared probe, a spectrometer, and a data terminal connected in sequence.

7. A computer device, characterized in that, Including: A memory and a processor, where the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to execute the fluidized bed fluidization state control method according to any one of claims 1 to 4.

8. A computer-readable storage medium, characterized in that, Computer instructions are stored on the computer-readable storage medium, and the computer instructions are used to cause a computer to execute the fluidized bed fluidization state control method according to any one of claims 1 to 4.

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