A crystallization apparatus for carbon source production and a control method

Abstract

The present application relates to the technical field of industrial control, and in particular to a crystallization device and control method for carbon source production, wherein after a dissolution effect reference value representing dissolution effect is determined by combining solubility and turbidity, the smallest modified motor speed under the condition of meeting solubility requirements is determined by combining the stable change of the dissolution effect reference value and the solubility; and further, by combining solution particle size data and turbidity in the dimension of filtration difficulty, an adaptive filtration pore size that is more in line with filtration requirements at each sampling time is determined; thus, real-time adjustment and control are performed by combining the modified motor speed and the adaptive filtration pore size, so that the dissolution and filtration process is more efficient and the effect is better, and the crystallization effect in the carbon source production process is indirectly improved.

Description

Technical Field

[0001] This invention relates to the field of industrial control technology, specifically to a crystallization device and control method for carbon source production. Background Technology

[0002] A carbon source is a substance that provides carbon atoms in biochemical processes. These carbon atoms are used to generate new biomolecules, such as proteins, fats, and nucleic acids. In the industrial production of carbon sources, the crystallization step can purify and separate specific compounds. That is, it can be used to extract and purify target substances from a complex mixture to achieve the required purity and quality.

[0003] Existing patent document CN113457201A discloses a continuous crystallization device and a continuous crystallization process. This patent applies the mechanical energy of high-speed shear mixing to the dissolution process, which, under the same temperature and solvent conditions, allows the solute to achieve a higher solubility and enter a supersaturated state. Compared with existing recrystallization methods, this device is more conducive to crystal formation, thereby improving crystallization efficiency and the purity of the obtained crystalline substance. However, there is still considerable room for optimization in terms of the device's intelligent features. The second high-speed shear mixer in this device ensures the homogeneity of the solution and the solubility of the solute. It also further mixes and refines the solute particles in the solution. Therefore, the motor speed setting of the second high-speed shear mixer is extremely important. Excessive motor speed leads to energy waste and machine wear, while insufficient speed may prevent the solution from reaching a supersaturated state. Furthermore, for the filtration device, the size of the filter pores also affects the crystallization effect and efficiency. Larger pores increase the flow rate but allow more smaller impurities to pass through, reducing the purity of the crystallized material. Smaller pores improve the filtration effect on impurities but reduce the flow rate, decreasing crystallization efficiency. Different solutions require different motor speeds and pore sizes. Using existing technology with constant motor speeds and pore sizes for dissolution and filtration results in poor dissolution and filtration effects. Summary of the Invention

[0004] This application provides a crystallization device for carbon source production, including a control module, a concentration sensor, a turbidity sensor, a particle size analyzer, a second high-speed shear solid-liquid mixer, and a second motor. The concentration sensor, turbidity sensor, particle size analyzer, and second motor are all located in the second high-speed shear solid-liquid mixer. The concentration sensor is used to collect the dissolved mass of the solute in the solution within the second high-speed shear solid-liquid mixer. The turbidity sensor is used to collect the turbidity of the solution within the second high-speed shear solid-liquid mixer. The particle size analyzer is used to collect the particle size data of the solution particles in the solution within the second high-speed shear solid-liquid mixer. The concentration sensor, turbidity sensor, and particle size analyzer are all signal-connected to the control module. In the second high-speed shear solid-liquid mixer, the control module acquires solubility, turbidity, and particle size data at each sampling time.

[0005] Based on the solubility and turbidity changes at each sampling time, a reference value for the solute dissolution effect at each sampling time is determined; based on the stable changes in solubility and the reference value for solute dissolution effect at each sampling time, the corrected motor speed of the second high-speed shear solid-liquid mixer at each sampling time is determined.

[0006] The pore size of the filtration device is adjusted based on the particle size and turbidity data of the solution at each sampling time to determine the adaptive filtration pore size at each sampling time; adaptive dissolution filtration is performed based on the corrected motor speed and the adaptive filtration pore size.

[0007] Preferably, the process of obtaining the solubility includes:

[0008] The solubility at each sampling time is determined by the ratio between the mass of solute dissolved and the volume of solvent in the solution at each sampling time.

[0009] Preferably, the process of obtaining the reference value for solute dissolution effect includes:

[0010] The difference between the solubility at each sampling time and the prior standard solubility is used as the standard deviation of solubility at each sampling time;

[0011] Based on the magnitude of the solubility standard deviation and the instantaneous change in turbidity at the corresponding sampling time, the turbidity influence weight at each sampling time is determined;

[0012] Based on the solubility standard deviation and the turbidity influence weight, a reference value for the solute dissolution effect at each sampling time is determined; both the solubility standard deviation and the turbidity influence weight are positively correlated with the reference value for the solute dissolution effect.

[0013] Preferably, the process of obtaining the turbidity influence weight includes:

[0014] Each sampling time is sequentially used as the target time;

[0015] When the standard deviation of solubility at the target time is greater than 0, the difference between the turbidity at the target time and the turbidity at the previous sampling time is negatively correlated and mapped to determine the weight of the turbidity influence at the target time.

[0016] When the standard deviation of solubility at the target time is less than or equal to 0, the weight of the turbidity influence at the target time is set to a preset constant.

[0017] Preferably, the process of determining the reference value of solute dissolution effect at each sampling time based on the solubility standard deviation and the turbidity influence weight includes:

[0018] The product between the solubility standard deviation and the turbidity influence weight is normalized to determine the reference value of solute dissolution effect at each sampling time.

[0019] Preferably, the process of obtaining the corrected motor speed includes:

[0020] Obtain the minimum rotational speed of the second high-speed shear solid-liquid mixer under operating conditions; take the corrected motor speed of the previous sampling time as the first reference motor speed for each sampling time; take the product between the normalized value of the negative correlation mapping value of the solubility standard deviation at each sampling time and the minimum rotational speed as the speed adjustment value for each sampling time; take the sum of the first reference motor speed and the speed adjustment value as the second reference motor speed for each sampling time.

[0021] Based on the stability of the solute dissolution effect reference value over time, as well as the first reference motor speed and the second reference motor speed, the corrected motor speed at each sampling time is determined.

[0022] Preferably, determining the corrected motor speed at each sampling moment based on the real-time changes in the solute dissolution effect reference value in chronological order and the speeds of the first and second reference motors includes:

[0023] For any real-time sampling moment:

[0024] The difference between the reference value of solute dissolution effect at the real-time sampling moment and the previous reference value of solute dissolution effect is taken as the change value of solute dissolution effect at the real-time sampling moment.

[0025] When the change value of the solute dissolution effect is greater than the preset first effect threshold or less than the preset second effect threshold, the second reference motor speed is used as the corrected motor speed at the corresponding real-time sampling time.

[0026] When the change value of the solute dissolution effect is less than or equal to the preset first effect threshold and greater than or equal to the preset second effect threshold, the corrected motor speed at the previous sampling time is used as the corrected motor speed at the real-time sampling time.

[0027] The corrected motor speed is determined at each sampling time based on the corrected motor speed at the real-time sampling time.

[0028] Preferably, the process of obtaining the adaptive filter pore size includes:

[0029] The product of the mean of all solution particle size data measured at each sampling time and the turbidity is normalized to determine the filtration difficulty at each sampling time.

[0030] Based on the filtration difficulty and the maximum pore size of the filtration device, the adaptive pore size is determined at each sampling time; the filtration difficulty is negatively correlated with the adaptive pore size; the maximum pore size is positively correlated with the adaptive pore size.

[0031] Preferably, the process of determining the adaptive filter pore size at each sampling time based on the filtration difficulty and the maximum value of the filter pore size of the filter device includes:

[0032] The product of the negative correlation mapping value of the filtration difficulty and the maximum value of the filter aperture of the filtration device is used as the adaptive filter aperture at each sampling time.

[0033] A method for controlling a crystallization device for carbon source production includes the following steps:

[0034] In the second high-speed shear solid-liquid mixer, the solubility, turbidity, and particle size data of the solution are acquired at each sampling time through the control module;

[0035] Based on the solubility and turbidity changes at each sampling time, a reference value for the solute dissolution effect at each sampling time is determined; based on the stable changes in solubility and the reference value for solute dissolution effect at each sampling time, the corrected motor speed of the second high-speed shear solid-liquid mixer at each sampling time is determined.

[0036] The pore size of the filtration device is adjusted based on the particle size and turbidity data of the solution at each sampling time to determine the adaptive filtration pore size at each sampling time; adaptive dissolution filtration is performed based on the corrected motor speed and the adaptive filtration pore size.

[0037] This application has the following beneficial effects:

[0038] For the solution in the second high-speed shear solid-liquid mixer, solubility and turbidity reflect the solute's dissolution status. Higher solubility indicates better solute dissolution; and changes in turbidity indirectly reflect changes in solubility. Therefore, the reference value for solute dissolution effect is determined by combining the temporal changes in solubility and turbidity. Furthermore, a lower reference value for solute dissolution effect usually indicates incomplete solute dissolution in the solvent, requiring an increase in motor speed to promote dissolution. Conversely, a higher reference value indicates good solute dissolution in the solvent, typically reaching saturation. Once solubility reaches saturation, further increasing motor speed does not yield better dissolution, necessitating a downward adjustment to save energy. Therefore, this application determines a more accurate corrected motor speed based on the stable changes in solubility and the reference value for solute dissolution effect at each sampling time—that is, an adaptive motor speed that minimizes solubility at saturation. Furthermore, based on the changes in turbidity and the particle size data of the solution, the filtration difficulty is measured from the particle density and particle size in the solution, making the determined adaptive filter pore size more accurate. Finally, combined with the correction of motor speed and adaptive filter pore size, real-time adjustment and control are performed, making the dissolution and filtration process more efficient and effective, indirectly improving the crystallization effect in the carbon source production process. Attached Figure Description

[0039] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a schematic flowchart illustrating the data processing procedure of a crystallization apparatus for carbon source production, provided as an embodiment of the present invention. Detailed Implementation

[0041] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a crystallization apparatus and control method for carbon source production proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment, and specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0043] The following description, in conjunction with the accompanying drawings, details a specific scheme for a crystallization device and control method for carbon source production provided by the present invention.

[0044] This application provides a crystallization device for carbon source production, including a control module, a concentration sensor, a turbidity sensor, a particle size analyzer, a second high-speed shear solid-liquid mixer, and a second motor. Prior art patent document CN113457201A discloses a continuous crystallization device. Based on that device, this application installs the concentration sensor, turbidity sensor, and particle size analyzer in the high-speed shear solid-liquid mixer 3, which corresponds to the second high-speed shear solid-liquid mixer in this application. Furthermore, the motor 31 of that device corresponds to the second motor in this application. The concentration sensor is used to collect the dissolved mass of solute in the solution in the second high-speed shear solid-liquid mixer, the turbidity sensor is used to collect the turbidity of the solution in the second high-speed shear solid-liquid mixer, and the particle size analyzer is used to collect the particle size data of the solution particles in the solution in the second high-speed shear solid-liquid mixer. The concentration sensor, turbidity sensor, and particle size analyzer are all connected to the control module. The control module can be a data processing chip such as a CPU or MCU, or a data processing device such as a computer host. The corresponding output terminals of the concentration sensor, turbidity sensor, and particle size analyzer are connected to the input terminals of the control module. Wired connection can be achieved through data transmission lines, or wireless connection can be achieved through wireless communication methods such as Bluetooth and WiFi.

[0045] Then, with the help of the control module, the motor speed of the second motor and the pore size of the filter device are controlled according to a predetermined data processing procedure to perform adaptive dissolution filtration. Please refer to [link / reference]. Figure 1 The diagram illustrates a data processing procedure for a crystallization apparatus for carbon source production according to an embodiment of the present invention, including the following steps:

[0046] Step S101: In the second high-speed shear solid-liquid mixer, the solubility, turbidity, and particle size data of the solution at each sampling time are obtained through the control module.

[0047] In one specific implementation of this invention, the time interval between two adjacent sampling times is set to 5 minutes, and the time interval can be adjusted as needed. Furthermore, in another specific implementation, the solubility acquisition process includes: determining the solubility at each sampling time based on the ratio of the mass of solute dissolved to the volume of the solvent in the solution. The solubility acquisition process is expressed by the following formula: Where, δ t Let be the solubility at the t-th sampling time; V0 is the solvent volume of the solution, which is also the upper limit of the solution storage capacity in the second high-speed shear solid-liquid mixer, and can be obtained a priori; g t Let be the mass of solute dissolved at the t-th sampling time. Furthermore, considering that the particle size analyzer will detect multiple particle size data points for the solution, this application will subsequently use the average of all particle size data detected at each sampling time in the calculation and analysis to improve the robustness of subsequent analyses.

[0048] Step S102: Based on the solubility and turbidity changes at each sampling time, determine the reference value of solute dissolution effect at each sampling time; based on the stable changes of solubility and solute dissolution effect reference value at each sampling time, determine the corrected motor speed of the second high-speed shear solid-liquid mixer at each sampling time.

[0049] For the solution in the second high-speed shear solid-liquid mixer, solubility and turbidity reflect the solute's dissolution status. Higher solubility indicates better solute dissolution; and changes in turbidity indirectly reflect changes in solubility. Therefore, the reference value for solute dissolution effect is determined by combining the temporal changes in solubility and turbidity. Furthermore, a lower reference value for solute dissolution effect usually indicates incomplete solute dissolution in the solvent, requiring an increase in motor speed to promote dissolution. Conversely, a higher reference value indicates good solute dissolution in the solvent, typically reaching saturation. After solubility saturation, further increasing motor speed does not yield better dissolution results, necessitating a downward adjustment of motor speed to save energy. Therefore, this application determines a corrected motor speed based on the stable changes in solubility and the reference value for solute dissolution effect at each sampling time. This corrected motor speed ensures a good dissolution effect while minimizing the required speed, resulting in better dissolution and filtration performance.

[0050] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the reference value for solute dissolution effect includes:

[0051] The difference between the solubility at each sampling time and the prior standard solubility is used as the solubility standard deviation at each sampling time. Based on the magnitude of the solubility standard deviation and the instantaneous change in turbidity at the corresponding sampling time, the turbidity influence weight is determined at each sampling time. Based on the solubility standard deviation and the turbidity influence weight, a reference value for the solute dissolution effect at each sampling time is determined. Both the solubility standard deviation and the turbidity influence weight are positively correlated with the reference value for the solute dissolution effect. In a specific implementation of this invention, the prior standard solubility is set to 0.95 times the static solubility at the same temperature and pressure under saturation. The magnitude of the prior standard solubility can be adjusted, but it must be ensured that the prior standard solubility is less than the static solubility at the same temperature and pressure under saturation, and it must be as close as possible to the solubility under saturation. It should be noted that setting the prior standard solubility to be less than the solubility under saturation provides conditions for subsequent reduction of motor speed, and setting the prior standard solubility as close as possible to the solubility under saturation ensures that dissolution is as complete as possible.

[0052] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the turbidity influence weight includes:

[0053] Each sampling time is sequentially used as the target time. When the standard deviation of solubility at the target time is greater than 0, the difference between the turbidity at the target time and the turbidity at the previous sampling time is negatively correlated to determine the turbidity influence weight at the target time. When the standard deviation of solubility at the target time is less than or equal to 0, the turbidity influence weight at the target time is set to a preset constant. When the standard deviation of solubility is greater than 0, that is, when the corresponding solubility is greater than the prior standard solubility, it indicates that the solubility is high and tending towards saturation. If the turbidity decreases relative to the previous sampling time, it indicates that the solubility is decreasing. Therefore, by considering the decrease in solubility through the turbidity influence weight, the obtained reference value for the solute dissolution effect, which characterizes the dissolution effect, is more accurate. In one specific implementation of this invention, a preset constant is set to 1, such that the standard deviation of solubility is less than or equal to 0. That is, when the solubility at the target time is less than the prior standard solubility, the weight of turbidity influence is set to the preset constant. This achieves the purpose of measuring the solute dissolution effect reference value only by the standard deviation of solubility when the solubility is less than the prior standard solubility. This makes the measured dissolution effect more reasonable, that is, when the solubility is less than the prior standard solubility, the dissolution effect is measured only by the magnitude of solubility.

[0054] In one specific implementation of this invention, the process of obtaining the turbidity influence weight is expressed by the following formula: Among them, Z t The weight of turbidity influence at the t-th sampling time; D t D represents the turbidity at the t-th sampling time. t-1 δ represents the turbidity at the (t-1)th sampling time, which is also the turbidity at the sampling time preceding the t-th sampling time; t δ represents the solubility at the t-th sampling time. ′ Let be the a priori standard solubility; exp() is an exponential function with the natural constant as the base. According to the function curve of 1-exp(x), when x is greater than 0, the overall value of 1-exp(x) is negative, and the larger the value of x, the smaller the overall value of 1-exp(x). Combined with the subsequent process of obtaining the reference value of solute dissolution effect, this is very consistent with the objective fact that the greater the reduction in turbidity, the worse the corresponding dissolution effect.

[0055] Preferably, in some possible implementations of the embodiments of the present invention, the process of determining the reference value of solute dissolution effect at each sampling time based on the solubility standard deviation and the turbidity influence weight includes: normalizing the product between the solubility standard deviation and the turbidity influence weight to determine the reference value of solute dissolution effect at each sampling time. In the embodiments of the present invention, when the solubility at the target time is less than the prior standard solubility, the corresponding turbidity influence weight is 1, so that the calculated reference value of solute dissolution effect is only related to solubility.

[0056] In one specific implementation of this invention, the process of obtaining the reference value for solute dissolution effect is expressed by the formula: R t =Norm((δ) t -δ ′ )×Z t ); R t δ is the reference value for the solute dissolution effect at the t-th sampling time; t δ represents the solubility at the t-th sampling time. ′ For the prior standard solubility; δ t -δ ′ Z represents the standard deviation of solubility at the t-th sampling time; t The turbidity influence weight is given at the t-th sampling time; Norm() is the linear normalization function.

[0057] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the corrected motor speed includes:

[0058] The minimum rotational speed of the second high-speed shear solid-liquid mixer under operating conditions is obtained. The corrected motor speed of the previous sampling time is used as the first reference motor speed for each sampling time. The product of the normalized value of the negative correlation mapping value of the solubility standard deviation at each sampling time and the minimum rotational speed is used as the speed adjustment value for each sampling time. The sum of the first reference motor speed and the speed adjustment value is used as the second reference motor speed for each sampling time. First, when the solubility is low, that is, lower than the prior standard solubility, it indicates that the mixing is incomplete and the solubility has not reached saturation. Therefore, the motor speed is increased to increase the rate of reaching saturation. The larger the absolute value of the solubility standard deviation, the smaller its specific value, indicating that the solubility is lower and the mixing is less complete, requiring a higher motor speed. Therefore, the solubility standard deviation and the motor speed adjustment value are negatively correlated; that is, the smaller the solubility standard deviation, the larger the corresponding motor speed adjustment value. The motor speed before adjustment at each sampling time is usually the motor speed at the previous sampling time. Therefore, based on the first reference motor speed and the motor speed adjustment value, the second reference speed that may need to be adjusted is determined. It should be noted that the minimum rotational speed in the embodiments of the present invention is the minimum rotational speed under working conditions, and its value is greater than 0.

[0059] In one specific implementation of this invention, the process of obtaining the motor speed adjustment value is expressed by the formula: Δω t =ω min ×Sigmod(-(δ t -δ ′ )); where Δω t ω is the rotational speed adjustment value at the t-th sampling time; min This represents the minimum rotational speed of the second high-speed shear solid-liquid mixer under operating conditions; δ t δ represents the solubility at the t-th sampling time. ′ For the prior standard solubility; δ t -δ ′ Let be the standard deviation of solubility at the t-th sampling time; Sigmod() is a normalization function with a normalized value range of [-1, 1].

[0060] Further, based on the stability of the solute dissolution effect reference value over time and the speeds of the first and second reference motors, the corrected motor speed at each sampling moment is determined. That is, it is necessary to further determine whether to use the first or second reference motor speed as the corrected motor speed based on the stability of the solute dissolution effect reference value. Preferably, in some possible implementations of this invention, determining the corrected motor speed at each sampling moment based on the real-time changes in the solute dissolution effect reference value over time and the speeds of the first and second reference motors includes:

[0061] For any real-time sampling moment:

[0062] The difference between the reference value of solute dissolution effect at the real-time sampling moment and the previous reference value of solute dissolution effect is taken as the change value of solute dissolution effect at the real-time sampling moment. When the change value of solute dissolution effect is greater than or equal to the preset effect threshold, the second reference motor speed is taken as the corrected motor speed at the corresponding real-time sampling moment. When the change value of solute dissolution effect is less than the preset effect threshold, the first reference motor speed at the previous sampling moment is taken as the corrected motor speed at the real-time sampling moment. Based on the corrected motor speed at the real-time sampling moment, the corrected motor speed at each sampling moment is determined.

[0063] In one specific implementation of this invention, the preset effect threshold is set to 0, which can be adjusted according to the specific implementation environment. Before the solubility reaches saturation, the solubility gradually increases, and the corresponding reference value for solute dissolution effect also gradually increases. At this time, when the second reference motor speed is used as the correction motor speed, the corresponding speed will continuously increase. After the solubility exceeds the prior standard solubility, the motor speed will continuously decrease according to the determination process of the correction motor speed. Further, after the motor speed continuously decreases to a certain extent, the speed will not meet the speed requirement of the prior standard solubility. At this time, the turbidity will increase, causing the reference value for solute dissolution effect to decrease to a certain extent. Therefore, the first reference motor speed at the previous sampling time is used as the corresponding correction motor speed to determine the smallest possible motor speed while ensuring a large solubility. In other possible implementations of this invention, when the first reference motor speed is used as the correction motor speed for the first time, the correction motor speed for all subsequent sampling times is the first reference motor speed. Because when the first reference motor speed is used as the correction motor speed for the first time, the corresponding first reference motor speed is the smallest possible motor speed while ensuring a large solubility, so no adjustment of the correction motor speed is required to achieve a better dissolution and filtration effect.

[0064] Step S103: Adjust the pore size of the filter device according to the particle size data and turbidity of the solution at each sampling time to determine the adaptive filtration pore size at each sampling time; perform adaptive dissolution filtration according to the corrected motor speed and the adaptive filtration pore size.

[0065] Regarding the pore size of the filter device, a large pore size can increase the flow rate of the solution, but it allows more smaller impurities to pass through, reducing the purity of the crystalline substance. Conversely, a small pore size can improve the filtration effect on impurities, but it reduces the flow rate of the solution, decreasing the crystallization efficiency. Therefore, it is necessary to determine the adaptive filter pore size for each sampling time based on the specific state of the solution to meet different pore size requirements. The particle size and turbidity of the solution differ at different sampling times, resulting in varying filtration difficulties and consequently, differences in the required filter pore size.

[0066] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the adaptive filter aperture includes:

[0067] The product of the mean of all solution particle size data measured at each sampling time and the turbidity is normalized to determine the filtration difficulty at each sampling time. Based on the filtration difficulty and the maximum pore size of the filtration device, the adaptive filtration pore size at each sampling time is determined. The mean of the solution particle size data represents the overall particle size; larger particles in the solution result in higher filtration difficulty. Turbidity represents the density of solution particles; larger particle sizes correspond to higher filtration difficulty. Therefore, the greater the filtration difficulty obtained by combining the solution particle size data and turbidity, the smaller the pore size of the required filtration device should be. Thus, filtration difficulty and adaptive filtration pore size are negatively correlated; the maximum pore size is positively correlated with the adaptive filtration pore size. Preferably, in some possible implementations of this invention, the process of determining the adaptive filtration pore size at each sampling time based on the filtration difficulty and the maximum pore size of the filtration device includes:

[0068] The product of the negative correlation mapping value of the filtering difficulty and the maximum value of the filter aperture of the filtering device is used as the adaptive filter aperture at each sampling time. In a specific implementation of this invention, the process of obtaining the adaptive filter aperture is expressed by the formula: Among them, W t W is the adaptive filter aperture at the t-th sampling time; max D represents the maximum pore size of the filter device. t Let be the turbidity at the t-th sampling time; The mean value of all solution particle size data collected at the t-th sampling time; Norm() is the linear normalization function;

[0069] Let be the filtering difficulty at the t-th sampling time. A normalization function is used to limit the filtering difficulty value to between 0 and 1, thus allowing for more accurate adaptive adjustment based on the maximum filter aperture value within the filter aperture adjustment range.

[0070] Finally, adaptive dissolution filtration is performed more efficiently and effectively by adjusting the motor speed and adaptive filter aperture at each sampling time. After the dissolution filtration stage, the solution is input into the tubular crystallizer, and the tubular crystallizer is cooled by the cooling jacket to carry out continuous crystallization of the carbon source. The mother liquor after crystallization and separation in the tubular crystallizer is re-input into the first high-speed shear solid-liquid mixer for recycling. The first high-speed shear solid-liquid mixer is also disclosed in the patent document with publication number CN113457201A, which discloses a high-speed shear solid-liquid mixer 1 in a continuous crystallization device.

[0071] This application also provides a method for controlling a crystallization device for carbon source production, comprising the following steps:

[0072] In the second high-speed shear solid-liquid mixer, the solubility, turbidity, and particle size data of the solution are acquired at each sampling time through the control module;

[0073] Based on the solubility and turbidity changes at each sampling time, a reference value for the solute dissolution effect at each sampling time is determined; based on the stable changes in solubility and the reference value for solute dissolution effect at each sampling time, the corrected motor speed of the second high-speed shear solid-liquid mixer at each sampling time is determined.

[0074] The pore size of the filtration device is adjusted based on the particle size and turbidity data of the solution at each sampling time to determine the adaptive filtration pore size at each sampling time; adaptive dissolution filtration is performed based on the corrected motor speed and the adaptive filtration pore size.

[0075] Since the specific steps of a crystallization equipment control method for carbon source production have been described in detail in the above embodiment of a crystallization equipment for carbon source production, they will not be repeated further.

[0076] In summary, this application, after determining a reference value for the dissolution effect by combining solubility and turbidity, determines the minimum possible corrected motor speed to meet the solubility requirements by combining the stable changes of the reference value for the dissolution effect and solubility; and further, by combining solution particle size data and turbidity in the dimension of filtration difficulty, determines an adaptive filter pore size that better meets the filtration requirements at each sampling time; thus, by combining the corrected motor speed and the adaptive filter pore size, a more efficient and effective dissolution filtration process is achieved.

[0077] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0078] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A crystallization apparatus for carbon source production, characterized in that, The system includes a control module, a concentration sensor, a turbidity sensor, a particle size analyzer, a second high-speed shear solid-liquid mixer, and a second motor. The concentration sensor, turbidity sensor, particle size analyzer, and second motor are all located within the second high-speed shear solid-liquid mixer. The concentration sensor collects the mass of solute dissolved in the solution within the mixer; the turbidity sensor collects the turbidity of the solution; and the particle size analyzer collects the particle size data of the solution within the mixer. All three components are connected to the control module. Within the second high-speed shear solid-liquid mixer, the control module acquires solubility, turbidity, and particle size data at each sampling time. Based on the solubility and turbidity changes at each sampling time, a reference value for the solute dissolution effect at each sampling time is determined; based on the real-time changes in solubility and the reference value for solute dissolution effect at each sampling time, the corrected motor speed of the second high-speed shear solid-liquid mixer at each sampling time is determined. The pore size of the filtration device is adjusted based on the particle size data and turbidity of the solution at each sampling time to determine the adaptive filtration pore size at each sampling time. Adaptive dissolution filtration is performed based on the corrected motor speed and adaptive filter pore size. The process for obtaining the reference value for solute dissolution effect includes: The difference between the solubility at each sampling time and the prior standard solubility is taken as the standard deviation of solubility at each sampling time; the prior standard solubility is set to 0.95 times the solubility under static temperature and pressure and in a saturated state. Based on the magnitude of the solubility standard deviation and the instantaneous change in turbidity at the corresponding sampling time, the turbidity influence weight at each sampling time is determined; Based on the solubility standard deviation and the turbidity influence weight, a reference value for the solute dissolution effect at each sampling time is determined; both the solubility standard deviation and the turbidity influence weight are positively correlated with the reference value for the solute dissolution effect. The process of obtaining the turbidity influence weight includes: Each sampling time is sequentially used as the target time; When the standard deviation of solubility at the target time is greater than 0, the difference between the turbidity at the target time and the turbidity at the previous sampling time is negatively correlated and mapped to determine the weight of the turbidity influence at the target time. When the standard deviation of solubility at the target time is less than or equal to 0, the weight of the turbidity influence at the target time is set to a preset constant. The process of determining the reference value of solute dissolution effect at each sampling time based on the solubility standard deviation and the turbidity influence weight includes: The product between the solubility standard deviation and the turbidity influence weight is normalized to determine the reference value of solute dissolution effect at each sampling time. The process of obtaining the weight of turbidity is expressed by the formula: ;in, For the first The turbidity at each sampling time affects the weight; For the first Turbidity at each sampling time; For the first Turbidity at each sampling time; For the first Solubility at each sampling time; For prior standard solubility; It is an exponential function with the natural constant as its base.

2. The crystallization equipment for carbon source production according to claim 1, characterized in that, The process of obtaining the solubility includes: The solubility at each sampling time is determined by the ratio between the mass of solute dissolved and the volume of solvent in the solution at each sampling time.

3. A crystallization apparatus for carbon source production according to claim 1, characterized in that, The process of obtaining the corrected motor speed includes: Obtain the minimum rotational speed of the second high-speed shear solid-liquid mixer under operating conditions; take the corrected motor speed of the previous sampling time as the first reference motor speed for each sampling time; take the product between the normalized value of the negative correlation mapping value of the solubility standard deviation at each sampling time and the minimum rotational speed as the speed adjustment value for each sampling time; take the sum of the first reference motor speed and the speed adjustment value as the second reference motor speed for each sampling time. Based on the real-time changes in the reference values ​​of solute dissolution effect over time, as well as the speeds of the first and second reference motors, the corrected motor speed at each sampling moment is determined.

4. A crystallization apparatus for carbon source production according to claim 3, characterized in that, The step of determining the corrected motor speed at each sampling moment based on the real-time changes of the solute dissolution effect reference value in chronological order and the first and second reference motor speeds includes: For any real-time sampling moment: The difference between the reference value of solute dissolution effect at the real-time sampling moment and the previous reference value of solute dissolution effect is taken as the change value of solute dissolution effect at the real-time sampling moment. When the change value of the solute dissolution effect is greater than or equal to the preset effect threshold, the second reference motor speed is used as the corrected motor speed at the corresponding real-time sampling time. When the change in solute dissolution effect is less than the preset effect threshold, the first reference motor speed at the previous sampling time is used as the corrected motor speed at the real-time sampling time. The corrected motor speed is determined at each sampling time based on the corrected motor speed at the real-time sampling time.

5. A crystallization apparatus for carbon source production according to claim 1, characterized in that, The process of obtaining the adaptive filter aperture includes: The product of the mean of all solution particle size data measured at each sampling time and the turbidity is normalized to determine the filtration difficulty at each sampling time. Based on the filtration difficulty and the maximum pore size of the filtration device, the adaptive pore size is determined at each sampling time; the filtration difficulty is negatively correlated with the adaptive pore size; the maximum pore size is positively correlated with the adaptive pore size.

6. A crystallization apparatus for carbon source production according to claim 5, characterized in that, The process of determining the adaptive filter pore size at each sampling time based on the filtration difficulty and the maximum filter pore size of the filtration device includes: The product of the negative correlation mapping value of the filtration difficulty and the maximum value of the filter aperture of the filtration device is used as the adaptive filter aperture at each sampling time.

7. A method for controlling crystallization equipment used in carbon source production, characterized in that, The method is used to control a crystallization device for carbon source production as described in claim 1, and includes the following steps: In the second high-speed shear solid-liquid mixer, the solubility, turbidity, and particle size data of the solution are acquired at each sampling time through the control module; Based on the solubility and turbidity changes at each sampling time, a reference value for the solute dissolution effect at each sampling time is determined; based on the stable changes in solubility and the reference value for solute dissolution effect at each sampling time, the corrected motor speed of the second high-speed shear solid-liquid mixer at each sampling time is determined. The pore size of the filtration device is adjusted based on the particle size and turbidity data of the solution at each sampling time to determine the adaptive filtration pore size at each sampling time; adaptive dissolution filtration is performed based on the corrected motor speed and the adaptive filtration pore size.

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