Fluidized bed fluidization state control method, system, equipment and medium

Abstract

The invention relates to the technical field of fluidized beds, and discloses a fluidized bed fluidization state control method, system and device and a medium, and the method comprises the following steps: collecting spectral data of a fluidized bed material; dividing the spectral data into a plurality of window areas along a moving window, wherein the window areas comprise a plurality of spectrums which are continuously collected; for each spectrum in the window area, extracting the total absorbance of the spectrum in a set wavelength interval; based on the total absorbance of each extracted spectrum, obtaining a total absorbance skewness; based on the total absorbance skewness, obtaining a fluidization state analysis result; according to the fluidization state analysis result, the liquid spraying speed is adjusted so as to improve the fluidization quality, the technical problem that the fluidization state of the fluidized bed is not well controlled in the related technology is solved, it can be ensured that the fluidized bed is always kept in the optimal fluidization state, and the technical effect of improving the granulation efficiency and the process stability is achieved.

Description

Technical Field

[0001] The present application relates to the field of fluidized bed technology, and in particular to a fluidized bed fluidization state control method, system, equipment and medium. Background Art

[0002] Fluidized bed spray granulation uses airflow to keep the material in a suspended and fluidized state in the fluidized bed, and sprays atomized adhesive liquid at the same time to make the material powder agglomerate into particles. It can complete the traditional mixing, drying, granulation, and coating in the same closed instrument at one time, realizing one-step granulation. Fluidized bed one-step granulation has many advantages. Compared with other methods, it has the characteristics of simple process, short operation time, and low labor intensity. It has been widely used in pharmaceutical, chemical, agronomy and other industries.

[0003] In a device, the granular material is piled on the distribution plate. When the gas is introduced into the bed from the lower part of the device, as the gas velocity increases to a certain extent, the solid particles produce a boiling state on the bed, which is called a fluidized state. The fluidized bed granulation process is complex. The material can only maintain the normal process under the condition of maintaining a normal fluidized state. The excessive fluidization state and the loss of fluid state are 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 control of the fluidization state is of great significance for maintaining the stability of the granulation process. At present, the monitoring methods of the fluidization state include the pressure difference method, the image method, etc. However, these methods have their own shortcomings. For example, the pressure difference method is easily affected by the blockage of the filter bag, and the image acquisition and analysis are also difficult. Summary of the invention

[0005] The present application provides a fluidized bed fluidization state control method, system, equipment and medium, which solve the technical problem of poor fluidization state control of the fluidized bed in the related art, can ensure that the fluidized bed always remains in the optimal fluidization state, and achieves the technical effect of automatically controlling the fluidization state and improving the granulation efficiency and process stability.

[0006] In order to achieve the above objectives, the main technical solutions adopted in this application include: In a first aspect, an embodiment of the present application provides a fluidization state control method for a fluidized bed, comprising: collecting spectral data of a fluidized bed material; dividing the spectral data into a plurality of window areas along a moving window, wherein the window area includes a plurality of continuously collected spectra; for each spectrum in the window area, extracting the total absorbance of the spectrum in a set wavelength range; obtaining a total absorbance deviation based on the total absorbance of each extracted spectra; obtaining a fluidization state analysis result based on the total absorbance deviation; and adjusting the liquid injection speed according to the fluidization state analysis result to improve the fluidization quality.

[0007] A fluidized bed fluidization state control method proposed in an embodiment of the present application includes: collecting spectral data of fluidized bed material; dividing the spectral data into multiple window areas along a moving window, wherein the window area includes multiple continuously collected spectra; for each spectrum in the window area, 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 injection speed to improve the fluidization quality, solving the technical problem of poor fluidization state control of the fluidized bed in the related art, ensuring that the fluidized bed is always maintained in the optimal fluidization state, reducing the frequency of bed collapse accidents caused by deterioration of the fluidization state, and achieving the technical effect of automatically controlling the fluidization state and improving granulation efficiency and process stability.

[0008] Optionally, the fixed length of the moving window is ,in, .

[0009] Optionally, the starting wavelength of the set wavelength interval is , the end wavelength is , where 850 nm ≤ ≤1000 nm, 1600 nm≤ ≤1750 nm.

[0010] Optionally, based on the total absorbance skewness, a fluidization state analysis result is obtained, specifically including: In the above formula, is the total absorbance skewness, is the corresponding fluidization state analysis result.

[0011] Optionally, adjusting the liquid injection speed according to the fluidization state analysis result specifically includes: adjusting the rotation speed of the peristaltic pump based on the fluidization state deviation between the fluidization state analysis result and a preset fluidization standard to adjust the liquid injection speed.

[0012] Optionally, based on the fluidization state deviation between the fluidization state analysis result and the preset fluidization standard, the speed of the peristaltic pump is adjusted, specifically including dividing the fluidization state deviation into a first threshold range, a second threshold range and a third threshold range which do not overlap each other from small to large, wherein: when the fluidization state deviation is within the first threshold range, the speed of the peristaltic pump is adjusted to a first speed; when the fluidization state deviation is within the second threshold range, the speed of the peristaltic pump is adjusted to a second speed; when the fluidization state deviation is within the third threshold range, the speed of the peristaltic pump is adjusted to a third speed; wherein the first speed is greater than the second speed, and the second speed is greater than the third speed.

[0013] In a second aspect, an embodiment of the present application provides a fluidized bed fluidization state control system, the system comprising: an acquisition module for acquiring spectral data of a fluidized bed material; an analysis module for dividing the spectral data into a plurality of window areas along a moving window, the window area comprising a plurality of continuously acquired spectra; for extracting the total absorbance of the spectrum in a set wavelength range for each spectrum in the window area; for obtaining a total absorbance deviation based on the total absorbance of each extracted spectra; and for obtaining a fluidization state analysis result based on the total absorbance deviation; and an adjustment module for adjusting the liquid injection speed according to the fluidization state analysis result to improve the fluidization quality.

[0014] Optionally, the acquisition module includes: a near-infrared probe, a spectrometer and a data terminal connected in sequence.

[0015] In a third aspect, an embodiment of the present application provides a computer device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, computer instructions are stored in the memory, and the processor executes the above-mentioned fluidized bed fluidization state control method by executing the computer instructions.

[0016] 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 enable a computer to execute the above-mentioned fluidized bed fluidization state control method.

[0017] In a fifth aspect, an embodiment of the present application provides a computer program product, including computer instructions, wherein the computer instructions are used to enable a computer to execute the above-mentioned fluidization state control method of a fluidized bed. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 A flow chart of a fluidized bed fluidization state control method provided in an embodiment of the present application; Figure 2 A schematic diagram of the online analysis and control results of the fluidized bed fluidization state provided in Example 1 of the present application; Figure 3 A schematic diagram of the online analysis and control results of the fluidized bed fluidization state provided in Example 2 of the present application; Figure 4 A schematic diagram of the online analysis and control results of the fluidized bed fluidization state provided in Example 3 of the present application; Figure 5 A schematic diagram of the online analysis and control results of the fluidized bed fluidization state provided in Example 4 of the present application; Figure 6 A schematic diagram of a fluidized bed fluidization state control system provided in an embodiment of the present application; Figure 7 A schematic diagram of fluidization state feedback control of a fluidized bed provided in an embodiment of the present application; Figure 8 A schematic diagram of signal transmission of a fluidized bed fluidization state control system provided in an embodiment of the present application; Fig. 9 A schematic diagram of the structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0021] Fluidized bed spray granulation uses airflow to keep the material in a suspended and fluidized state in the fluidized bed, and sprays atomized adhesive liquid at the same time to make the material powder agglomerate into particles. It can complete the traditional mixing, drying, granulation, and coating in the same closed instrument at one time, realizing one-step granulation. Fluidized bed one-step granulation has many advantages. Compared with other methods, it has the characteristics of simple process, short operation time, and low labor intensity. It has been widely used in pharmaceutical, chemical, agronomy and other industries.

[0022] In a device, the granular material is piled on the distribution plate. When the gas is introduced into the bed from the lower part of the device, as the gas velocity increases to a certain extent, the solid particles produce a boiling state on the bed, which is called a fluidized state. The fluidized bed granulation process is complex. The material can only maintain the normal process under the condition of maintaining a normal fluidized state. The excessive fluidization state and the loss of fluid state are abnormal process conditions in the process, and the process needs to be adjusted to reduce or avoid unnecessary economic losses.

[0023] During the granulation process, the monitoring and control of the fluidization state is of great significance for maintaining the stability of the granulation process. At present, the monitoring methods of the fluidization state include the pressure difference method, the image method, etc. However, these methods have their own shortcomings. For example, the pressure difference method is easily affected by the blockage of the filter bag, and the image acquisition and analysis are also difficult. In recent years, with the development of process analysis technology, near-infrared spectroscopy technology has been widely used in online process analysis, and it has gradually attracted attention for its advantages of rapidity, non-destructiveness and real-time. Through near-infrared spectroscopy technology, physical and chemical information of materials in the granulation process, such as moisture content, particle size distribution, etc., can be obtained, providing a new means for accurate monitoring of the fluidization state. In addition, combined with chemometric methods, near-infrared spectroscopy technology can model and analyze complex process data, thereby realizing accurate prediction and control of the fluidization state. This method can not only improve the stability of the granulation process and the quality consistency of the product, but also reduce material waste and energy consumption, with significant economic and environmental benefits.

[0024] An embodiment of the present application provides an embodiment of a method for controlling the fluidization 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 a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0025] In this embodiment, a method for controlling the fluidization state of a fluidized bed is provided. Figure 1 A flow chart of a fluidized bed fluidization state control method provided in an embodiment of the present application, such as Figure 1 As shown, the process includes the following steps: Step S1, collecting spectral data of fluidized bed materials.

[0026] Specifically, the diffuse reflectance near-infrared spectrum data of the fluidized bed material inside the monitoring window is collected. The near-infrared sensor is fixed outside the fluidized bed monitoring window, the irradiation area is located in the dense phase area of ​​the fluidized bed, and the dual light source beams are focused on the inside of the monitoring window of the fluidized bed to monitor the fluidization state of the material during the fluidization process. Parallel near-infrared beams are passed 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 of different materials under different fluidization states are different.

[0027] Step S3, dividing the spectral data into a plurality of window areas along the moving window, wherein the window area includes a plurality of spectra collected continuously.

[0028] Wherein, the spectral data includes a plurality of spectra collected continuously. The moving window is provided with a fixed length and a moving step. The moving window is provided with a fixed length and a moving step. The moving window moves along the time direction of the spectral data collection. Based on the fixed length and the moving step of the moving window, the spectral data can be divided into a plurality of continuous window areas. The size of the fixed length of the moving window is related to the acquisition rate. The window area includes a plurality of spectra collected continuously. For example, the length of the moving window is 30, that is, the window area includes 30 spectra collected continuously. For example, the moving step is 1, that is, the moving window moves forward one spectrum each time, and the plurality of window areas may overlap.

[0029] Step S5, for each spectrum in the window area, extracting the total absorbance of the spectrum in a set wavelength range.

[0030] For example, the fixed length of the moving window is , that is, the window area contains Spectra. Calculate the total absorbance of each spectrum in the window area within the set wavelength range. For example, there are 100 wavelength points in the set wavelength range. For each spectrum, the absorbance of each wavelength point in the set wavelength range is expressed as , ... , the total absorbance of the spectrum It can be expressed as: .

[0031] Step S7, obtaining the total absorbance deviation based on the total absorbance of each extracted spectrum.

[0032] For example, the window area has The total absorbance of each spectrum is expressed as: , , ..., , then the mean value of the total absorbance and standard deviation It is expressed as: Then, the total absorbance skewness is expressed as: Step S9, obtaining a fluidization state analysis result based on the total absorbance skewness.

[0033] The fluidization state refers to the movement state of the material in the fluidized bed. During the fluidization process, the distribution and movement state of the material will affect its absorption characteristics of light. The total absorbance skewness can be used to characterize the fluidization state. For example, a higher absolute value of the total absorbance skewness usually indicates that the fluidization state is relatively stable, the material distribution is uniform, and the fluidization effect is good. A lower absolute value of the total absorbance skewness indicates that the fluidization state is unstable, and there may be abnormal conditions such as local accumulation and excessive fluidization.

[0034] The total absorbance skewness is used as an indicator for judging the fluidization state, which has high calculation efficiency and is easy to use.

[0035] Step S11, adjusting the liquid spraying speed according to the fluidization state analysis result to improve the fluidization quality.

[0036] 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 areas correspond to the fluidization states at different moments. Based on the fluidization state analysis result, the rotation speed of the peristaltic pump is adjusted, thereby adjusting the liquid injection 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.

[0037] The fluidized bed fluidization state control method provided in the present embodiment includes: collecting spectral data of fluidized bed materials; dividing the spectral data into multiple window areas along a moving window, wherein the window area includes multiple continuously collected spectra; for each spectrum in the window area, 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 spray speed to improve the fluidization quality, solving the technical problem of poor fluidization state control of the fluidized bed in the related art, ensuring that the fluidized bed is always maintained in the best fluidization state, reducing the frequency of bed collapse accidents caused by deterioration of the fluidization state, and achieving the technical effect of automatically controlling the fluidization state and improving granulation efficiency and process stability.

[0038] In some embodiments, the fixed length of the moving window is ,in, .

[0039] Preferably, the fixed length of the moving window is 30. That is, the moving window includes 30 spectra collected continuously.

[0040] In some embodiments, the starting wavelength of the set wavelength interval is , the end wavelength is , where 850nm≤ ≤1000 nm, 1600 nm≤ ≤1750 nm.

[0041] Preferably, the wavelength interval is set to 950-1650 nm. The selection of the wavelength interval is related to the parameters of the spectrometer. By extracting the total absorbance of the spectrum in the set wavelength interval, it can be used to analyze the fluidization state of the material in the fluidized bed.

[0042] In some embodiments, based on the total absorbance skewness, a fluidization state analysis result is obtained, specifically including: In the above formula, is the total absorbance skewness, is the corresponding fluidization state analysis result.

[0043] For example, The value range is 0-100%. When it is 0, The value of is 0. The increase in absolute value, Gradually approaching 100%.

[0044] Through the above-mentioned function mapping, the total absorbance skewness is mapped to 0-100%, and the fluidization state analysis result is a percentage value, which realizes the quantitative description of the fluidization state in the fluidized granulation process in the form of percentage, allowing users to more intuitively understand the fluidization state at the current moment through quantitative indicators.

[0045] In some embodiments, adjusting the liquid injection speed according to the fluidization state analysis result specifically includes: adjusting the rotation speed of the peristaltic pump to adjust the liquid injection speed based on the fluidization state deviation between the fluidization state analysis result and a preset fluidization standard.

[0046] Among them, the movement state of the material 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 material is in a piled state, the bed void fraction 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 material is in a relatively stable movement mode, the bed void fraction fluctuates within a certain range, the spectral baseline is at a normal level, and the fluctuation of the spectral absorbance is large. Therefore, the fluidization state of the fluidized bed can be detected according to the change of the spectral absorbance in a moving window of fixed length. Based on the fluidization state deviation between the fluidization state analysis result and the preset fluidization standard, the peristaltic pump speed is adjusted to adjust the injection speed through a rule-based control strategy combined with expert knowledge, thereby controlling the fluidization state.

[0047] In some embodiments, the speed of the peristaltic pump is adjusted based on the fluidization state deviation between the fluidization state analysis result and the preset fluidization standard, specifically including dividing the fluidization state deviation into a first threshold range, a second threshold range and a third threshold range which do not overlap each other from small to large, wherein: when the fluidization state deviation is within the first threshold range, the speed of the peristaltic pump is adjusted to a first speed; when the fluidization state deviation is within the second threshold range, the speed of the peristaltic pump is adjusted to a second speed; when the fluidization state deviation is within the third threshold range, the speed of the peristaltic pump is adjusted to a third speed; wherein the first speed is greater than the second speed, and the second speed is greater than the third speed.

[0048] Specifically, the fluidization state deviation can be expressed as: in, To preset the fluidization standard, is the fluidization state analysis result, is the fluidization state deviation. Preferably, the preset fluidization standard Set to 100%.

[0049] The above control rule is to determine the speed of the peristaltic pump according to the fluidization state deviation to adjust the injection speed, thereby automatically controlling the fluidization state. For example: when the fluidization state deviation is When the peristaltic pump speed is set to ; When the fluidization state deviation is When the peristaltic pump speed is set to ; When the fluidization state deviation is When the peristaltic pump speed is set to Among them, the total absorbance skewness in the moving window is mapped to a fixed interval , the fixed interval is preferably . , , Preferably 20 , Preferably 10 , Preferably 0 , Preferably 60%, Preferably 70%.

[0050] In addition, if the fluidization state deviation is in the process of increasing, when the above speed change conditions are met, the peristaltic pump speed change will take effect immediately. If the fluidization state deviation is in the process of decreasing, when the above speed change conditions are met, the peristaltic pump speed change will last for a period of time. Preferably, Set to 1 .

[0051] Specifically, if the fluidization state deviation is When the fluidization state analysis result is , indicating that the fluidization state is good. If the fluidization state deviation is When the fluidization state analysis result is , indicating that the fluidization state is poor. If the fluidization state deviation is When the fluidization state analysis result is It indicates that the fluidization state is poor and there is a risk of bed collapse. Immediate measures must be taken to prevent bed collapse.

[0052] The embodiment of the present application utilizes the above-mentioned control rules. By setting a preset fluidization standard, the change of the fluidization state is associated with the rotation speed of the peristaltic pump of the spray device. By timely reducing the rotation speed of the peristaltic pump to improve the fluidization state, the occurrence of bed collapse is avoided, and automatic control of the fluidization state is achieved. The success rate of the fluidized bed granulation process is improved, and the production cost and material waste are effectively reduced. The specific explanation will be given below in conjunction with the embodiment.

[0053] Embodiment 1 Embodiment 1 provides a fluidized bed fluidization state control method, which is applied to a fluidized bed granulation process of a Chinese patent medicine, and comprises the following steps: Step S101: Collecting real-time spectral data, wherein the diffuse reflectance near-infrared spectrum detection range is set to 900-1700nm, and one spectrum is collected every 0.1 s.

[0054] Step S103: Moving window selection. Select a moving window with a fixed length of 30, each moving window includes 30 spectra. Divide the spectral data into multiple window areas.

[0055] Step S105: extracting 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.

[0056] Step S107: Calculate the total absorbance skewness based on the total absorbance of each spectrum in the window area.

[0057] Step S109: Based on the total absorbance skewness, a fluidization state analysis result is obtained. The functional relationship between the total absorbance skewness and the fluidization state analysis result is: in, is the total absorbance skewness, is the corresponding fluidization state analysis result. The value range is 0-100%. When it is 0, The value is 0, as The increase in absolute value, Gradually approaching 100%.

[0058] Step S111: Liquid injection speed adjustment. According to the real-time fluidization state analysis results, the liquid injection speed is dynamically adjusted according to the preset control rules to improve the fluidization quality. The specific control rules are as follows: If the fluidization state analysis results are , the peristaltic pump speed is set to 20 rpm; if the fluidization state result is , the peristaltic pump speed is set to 10 rpm; if the fluidization state result is , the peristaltic pump speed is set to 0 rpm. When the fluidization state deviation is in the process of increasing, the peristaltic pump speed change takes effect immediately; when the fluidization state deviation is in the process of decreasing, there is a lag of 1 s before the peristaltic pump speed changes.

[0059] Repeat the above steps S101 to S111 to achieve real-time analysis and control of the fluidization state.

[0060] Please refer to Figure 2 , Figure 2 This is a schematic diagram of the online analysis and control results of the fluidized bed fluidization state provided in Example 1 of the present application. Figure 2 As shown, during the liquid spray granulation process, the fluidization state analysis results deteriorated several times and dropped below 30%, and there was 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 quickly reduced, the liquid spray speed is reduced, the fluidization state is improved, and the bed collapse is avoided. After the fluidization state returns to the threshold, the peristaltic pump speed is restored after a delay of 1 s to improve the stability of the granulation process. The fluidization state control method of the fluidized bed provided in Example 1 can restore the fluidization state to a good state within 5-20 s after the fluidization state deteriorates, realizes real-time analysis and automatic control of the fluidization state, effectively reduces the probability of bed collapse, and has a significant beneficial effect on cost reduction and efficiency improvement in actual production.

[0061] Embodiment 2 The second embodiment provides a fluidized bed fluidization state control method, which is applied to a fluidized bed granulation process of a Chinese patent medicine. For specific steps, please refer to the first embodiment, which will not be repeated here. , to test its adaptability to different wind volume conditions.

[0062] Please refer to Figure 3 , Figure 3 This is a schematic diagram of the results of online analysis and control of the fluidized bed fluidization state provided in Example 2 of this application. Figure 3 As shown in the figure, during the liquid spray granulation process, the fluidization state analysis results deteriorated several times and dropped below 30%, and there was a risk of bed collapse. By reducing the speed of the peristaltic pump, the fluidization state was effectively improved, the occurrence of bed collapse was avoided, and the fluidization state could be restored to a good state within 5-15 seconds after the fluid state deteriorated. The fluidization state control method of the fluidized bed provided in Example 2 has strong adaptability to working conditions with different air volumes.

[0063] Embodiment 3 Example 3 provides a fluidized bed fluidization state control method, which is applied to a fluidized bed granulation process of a Chinese patent medicine. For specific steps, please refer to Example 1, which will not be repeated here. Compared with Example 1, the temperature of Example 3 is increased by 20°C to test the adaptability to different temperature conditions.

[0064] Please refer to Figure 4 , Figure 4 This is a schematic diagram of the online analysis and control results of the fluidized bed fluidization state provided in Example 3 of this application. Figure 4 As shown in the figure, during the liquid spray granulation process, the fluidization state analysis results deteriorated several times and dropped below 30%, and there was a risk of bed collapse. By reducing the speed of the peristaltic pump, the fluidization state was effectively improved, the occurrence of bed collapse was avoided, and the fluidization state could be restored to a good state within 15 seconds after the fluid state deteriorated. The fluidization state control method of the fluidized bed provided in Example 3 has strong adaptability to working conditions of different temperatures.

[0065] Embodiment 4 Embodiment 4 provides a fluidized bed fluidization state control method, and the application object is a fluidized bed granulation process of a certain Chinese patent medicine. Please refer to embodiment 1 for specific steps, which will not be repeated here.

[0066] Compared with Example 1, the spray gun pressure of Example 4 was increased by 20°C to test the adaptability to different spray pressure conditions.

[0067] Please refer to Figure 5 , Figure 5This is a schematic diagram of the online analysis and control results of the fluidized bed fluidization state provided in Example 4 of the present application. Figure 5 As shown in the figure, during the liquid spray granulation process, the fluidization state analysis results deteriorated several times and dropped below 30%, and there was a risk of bed collapse. The fluidization state control method of the fluidized bed provided in Example 4 effectively improved the fluidization state by reducing the speed of the peristaltic pump, avoided the occurrence of bed collapse, and could restore the fluidization state to a good state within 3-10 s after the fluid state deteriorated. The fluidization state control method of the fluidized bed provided in Example 4 has strong adaptability to working conditions with different spray pressures.

[0068] Accordingly, please refer to Figure 6 , Figure 6 Schematic diagram of a fluidized bed fluidization state control system provided in an embodiment of the present application. Figure 6 As shown, it includes: an acquisition module for acquiring spectral data of fluidized bed materials; an analysis module for dividing the spectral data into multiple window areas along a movable window, wherein the window area includes multiple spectra acquired continuously; for extracting the total absorbance of the spectrum in a set wavelength range for each spectrum in the window area; for obtaining the total absorbance deviation based on the total absorbance of each extracted spectrum; and for obtaining a fluidization state analysis result based on the total absorbance deviation; and an adjustment module for adjusting the liquid spraying speed according to the fluidization state analysis result to improve the fluidization quality.

[0069] Among them, the acquisition module collects the near-infrared spectrum of the material inside the monitoring window during the fluidized bed granulation process in real time, the analysis module extracts the total absorbance of the spectrum, and obtains the total absorbance deviation based on the extracted total absorbance, and converts the total absorbance deviation into a quantifiable fluidization state analysis result. The adjustment module adjusts the peristaltic pump speed according to the fluidization state deviation between the fluidization state analysis result and the preset fluidization standard, and then adjusts the spray speed to achieve real-time control of the fluidization state.

[0070] 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 is integrated with the analysis module in the same computer terminal. The adjustment module includes a controller and an actuator, and the actuator is a peristaltic pump.

[0071] Please refer to Figure 7 , Figure 7 This is a schematic diagram of the fluidized bed fluidization state feedback control provided in the embodiment of the present application. Figure 8 , Figure 8 This is a schematic diagram of signal transmission of a fluidized bed fluidization state control system provided in an embodiment of the present application. Figure 7 and Figure 8As shown in the figure, in the fluidized bed fluidization state control system, the controlled object is the fluidized bed granulation process, and the measuring transmitter monitors the fluidization state of the material in the fluidized bed in real time and converts the information into an electrical signal. The measuring transmitter includes an acquisition module for collecting spectra and an analysis module for analyzing the fluidization state. The controller measures the value according to the fluidization state analysis result. and preset fluidization standards Fluidization state deviation , determine whether the speed of the peristaltic pump needs to be adjusted. The peristaltic pump adjusts the speed according to the instructions of the controller, thereby changing the spray speed. Figure 7 As shown, the controlled variable is the fluidization state and the control signal is the peristaltic pump speed. , the manipulated variable is the injection speed , is the measured value of the fluidization state analysis result, To preset the fluidization standard, is the fluidization state deviation, The actual fluidization state is maintained within the ideal range through continuous monitoring, adjustment and feedback, ensuring the stability of the granulation process and product quality.

[0072] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0073] The fluidized bed fluidization state control system in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0074] See also Fig. 9 , Fig. 9 is a schematic diagram of the structure of a computer device provided in an embodiment of the present application, such as Fig. 9As 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. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional 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 (for example, as a server array, a group of blade servers, or a multi-processor system). Fig. 9 A processor 10 is taken as an example.

[0075] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0076] 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.

[0077] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application 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-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0078] 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 also include a combination of the above types of memory.

[0079] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0080] The embodiment of the present application also provides a computer-readable storage medium. The above method according to the embodiment of the present application can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can 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. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0081] The embodiment of the present application provides a computer program product, which includes computer instructions, which are stored in a computer-readable storage medium. A processor of a 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 method of any embodiment of the present application.

[0082] Although the embodiments of the present application are described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present application, and such modifications and variations are all within the scope defined by the appended claims.

[0083] The systems, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may 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 a combination of any of these devices.

[0084] For the convenience of description, the above device is described in various units according to their functions. Of course, when implementing the present application, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0085] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt 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 codes.

[0086] The present application is described with reference to the flowcharts and / or block diagrams of the methods, systems and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes 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 a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0087] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0088] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0089] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity or device including the element.

[0090] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and 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 partial description of the method embodiment.

[0091] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

[0092] Although the embodiments of the present application have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present application, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for controlling the fluidization state of a fluidized bed, characterized in that: The method comprises: Collect spectral data of fluidized bed materials; Dividing the spectral data into a plurality of window regions along a moving window, wherein the window regions include a plurality of spectra collected continuously; For each spectrum in the window area, extract the total absorbance of the spectrum in a set wavelength range; Based on the total absorbance of each extracted spectrum, a total absorbance deviation is obtained; Based on the total absorbance skewness, a fluidization state analysis result is obtained; According to the fluidization state analysis result, the liquid spraying speed is adjusted to improve the fluidization quality.

2. The method according to claim 1, characterized in that The fixed length of the moving window is ,in, .

3. The method according to claim 1, characterized in that The starting wavelength of the set wavelength interval is , the end wavelength is , where 850 nm ≤ ≤1000 nm, 1600 nm≤ ≤1750 nm.

4. The method according to claim 1, characterized in that: Based on the total absorbance skewness, the fluidization state analysis results are obtained, including: In the above formula, is the total absorbance skewness, is the corresponding fluidization state analysis result.

5. The method according to claim 1, characterized in that 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 injection speed.

6. The method according to claim 5, characterized in that Based on the fluidization state deviation between the fluidization state analysis result and the preset fluidization standard, adjusting the speed of the peristaltic pump specifically includes dividing the fluidization state deviation into a first threshold range, a second threshold range and a third threshold range which do not overlap each other in order from small to large, wherein: When the fluidization state deviation is within a first threshold range, adjusting the rotation speed of the peristaltic pump to a first rotation speed; When the fluidization state deviation is within a second threshold range, adjusting the rotation speed of the peristaltic pump to a second rotation speed; When the fluidization state deviation is within a third threshold range, adjusting the rotation speed of the peristaltic pump to a third rotation speed; The first rotation speed is greater than the second rotation speed, and the second rotation speed is greater than the third rotation speed.

7. A fluidized bed fluidization state control system, characterized in that: The system comprises: An acquisition module, used for acquiring spectral data of fluidized bed materials; An analysis module, for dividing the spectral data into a plurality of window areas along a moving window, wherein the window areas include a plurality of continuously collected spectra; for extracting the total absorbance of the spectrum in a set wavelength range for each spectrum in the window area; for obtaining a total absorbance skewness based on the total absorbance of each extracted spectrum; and for obtaining a fluidization state analysis result based on the total absorbance skewness; The regulating module is used to regulate the liquid spraying speed according to the fluidization state analysis result to improve the fluidization quality.

8. The system according to claim 7, characterized in that The acquisition module includes: a near-infrared probe, a spectrometer and a data terminal which are connected in sequence.

9. A computer device, characterized in that: include: 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 fluidized bed fluidization state control method according to any one of claims 1 to 6 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the fluidization state control method of a fluidized bed according to any one of claims 1 to 6.

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