Method and system for regulating a separation device

Abstract

The present application relates to the technical field of control system, and particularly relates to a kind of regulating method and system of separating device, wherein the regulating method of separating device includes: obtaining real-time monitoring data;Determine pressure anomaly amount;Determine abnormal liquid inlet fluid area;Determine the similarity of inlet liquid pseudo-blockage pressure performance;Determine filter membrane state;When filter membrane state is pseudo-blockage, adjust liquid inlet speed, and adjust pressure anomaly amount;When filter membrane state is real blockage, trigger alarm.The present application constructs pressure anomaly amount, abnormal liquid inlet fluid area and inlet liquid pseudo-blockage pressure performance similarity triple discrimination logic by real-time acquisition of filter membrane liquid inlet end and liquid outlet end pressure data, can accurately distinguish pseudo-blockage caused by liquid viscosity or concentration fluctuation and real filter membrane blockage, significantly reduce the misjudgment rate caused by traditional pressure difference threshold judgment, avoid unnecessary speed reduction or shutdown alarm, and ensure continuous production.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of control systems, in particular to a control method and system of a separation device. BACKGROUND

[0002] In the field of biological medicine, the application of separation devices is very wide, especially in drug research and development, preparation, diagnosis and treatment, etc. Generally, these devices are used to separate, purify or analyze different biological molecules, cells or microorganisms to ensure the quality and purity of the final product. The devices related thereto usually include but are not limited to: 1. Chromatography device: this technology is mainly used for the separation and purification of target molecules such as proteins, nucleic acids, small molecule drugs, etc. in biological medicine. Common chromatography techniques include liquid chromatography (HPLC), gas chromatography (GC), ion exchange chromatography, affinity chromatography, etc. 2. Extraction device: a technology that separates by using the difference in solvent solubility, commonly used for drug extraction, natural product separation, etc. 3. Filtration device: widely used for the removal of cells, proteins, viruses and impurities, especially for the cleaning and separation of raw materials in large-scale production; the method for controlling the filtration device includes controlling the filtration pressure, the pore size of the filtration membrane and the flow rate, which can effectively separate molecules and substances of different particle sizes, ensuring the quality and production efficiency of the product.

[0003] The existing problem: in the actual filtration and separation process, the impurities to be filtered mainly include particles, cells, microbial residues, sugars, salts, suspended solids, pharmaceutical excipients, blood components, etc. Further, due to the complexity of the above filtration impurities, such as particle nature and solubility, the overall viscosity and concentration of the liquid during filtration process are inconsistent, and there are flow rate differences (caused by viscosity) and pressure differences (caused by particle concentration). The existing technology usually monitors the pressure difference between the two ends of the filtration membrane to determine whether the filter membrane is blocked, and adjusts the liquid flow rate accordingly. However, due to the uneven viscosity and fluctuating particle concentration of the liquid to be filtered, the pressure difference between the two sides of the membrane is not only affected by the blockage, but also significantly disturbed by the rheological properties of the liquid itself. The change in pressure difference caused by non-blocking factors (such as high viscosity or high concentration) is highly similar to the characteristics of real filter membrane blockage, which is easy to cause system misjudgment, triggering unnecessary speed reduction or alarm, reducing separation efficiency and increasing operation risk. SUMMARY

[0004] The present application provides a control method and system of a separation device to solve the existing problems.

[0005] The control method and system of a separation device of the present application adopt the following technical solutions:

[0006] An embodiment of the present application provides a method for regulating a separation device, the method comprising: obtaining real-time monitoring data; wherein the real-time monitoring data is collected by pressure sensors installed at the inlet and outlet of a filter membrane of the separation device; determining a pressure abnormality amount based on the real-time monitoring data; determining an abnormal inlet fluid zone based on the pressure abnormality amount; determining inlet pseudo-clogging pressure performance similarity based on the abnormal inlet fluid zone; wherein the inlet pseudo-clogging pressure performance similarity is used to represent the similarity between the characteristics of the abnormal inlet fluid zone and the characteristics of a filter membrane pseudo-clogging; determining the filter membrane state based on the inlet pseudo-clogging pressure performance similarity; when the filter membrane state is pseudo-clogging, adjusting the inlet velocity based on the inlet pseudo-clogging pressure performance similarity, and adjusting the pressure abnormality amount based on the inlet pseudo-clogging pressure performance similarity; when the filter membrane state is real clogging, triggering an alarm.

[0007] Further, the method further comprises: obtaining a first pressure value sequence and a second pressure value sequence corresponding to both ends of the filter membrane in a target period in the real-time monitoring data; wherein the target period represents a period with a preset length ending at a current time node; calculating a difference abnormality amount of a pressure difference at the current time node based on the first pressure value sequence and the second pressure value sequence; wherein the difference abnormality amount represents the deviation of the pressure difference at both ends of the filter membrane at the current time node relative to the fluctuation range of the historical pressure difference in the target period; calculating a first abnormality score of the first pressure value at the current time node in the first pressure value sequence and a second abnormality score of the second pressure value at the current time node in the second pressure value sequence, respectively; wherein the abnormality score represents the deviation of the pressure value at the current time node relative to the historical pressure mean value in the pressure value sequence; and calculating the pressure abnormality amount based on the difference abnormality amount and the mean value of the first abnormality score and the second abnormality score.

[0008] Further, the method further comprises: calculating a pressure value difference of the first pressure value sequence and the second pressure value sequence at the same time node to obtain a filter membrane end pressure difference index corresponding to each time node in the target period; calculating the difference between the filter membrane end pressure difference index corresponding to each time node and the filter membrane end pressure difference index of the current time node for a plurality of time nodes before the current time node, and calculating a difference sum; and calculating the difference abnormality amount based on the filter membrane end pressure difference index of the current time node and the difference sum.

[0009] Further, the determining of the abnormal liquid inlet fluid area based on the pressure anomaly amount comprises: determining that the pressure anomaly amount is within a preset abnormal range at a target time node, and acquiring the abnormal liquid inlet fluid area including real-time liquid inlet fluid corresponding to the target time node.

[0010] Further, the determining of the liquid inlet pseudo-plugging pressure performance similarity based on the abnormal liquid inlet fluid area comprises: acquiring a fluid anomaly amount analysis sequence based on the pressure anomaly amount of the abnormal liquid inlet fluid area at multiple time nodes; fitting the fluid anomaly amount analysis sequence to acquire a fluid anomaly amount curve and a curve slope of the fluid anomaly amount curve at each time node; and calculating the liquid inlet pseudo-plugging pressure performance similarity based on the curve slope.

[0011] Further, the calculation of the liquid inlet pseudo-plugging pressure performance similarity based on the curve slope comprises: calculating the liquid inlet pseudo-plugging pressure performance similarity based on the number of time nodes at which the curve slope is less than a preset slope threshold; and wherein the more the number of time nodes at which the curve slope is less than the preset slope threshold, the greater the value of the liquid inlet pseudo-plugging pressure performance similarity.

[0012] Further, the determination of the filter membrane state based on the liquid inlet pseudo-plugging pressure performance similarity comprises: normalizing the liquid inlet pseudo-plugging pressure performance similarity; and determining that the filter membrane is in a pseudo-plugging state when the normalized liquid inlet pseudo-plugging pressure performance similarity is within a preset similarity threshold range, and otherwise, determining that the filter membrane is in a real plugging state.

[0013] Further, the adjustment of the pressure anomaly amount based on the liquid inlet pseudo-plugging pressure performance similarity comprises: calculating a corrected pressure anomaly amount based on the pressure anomaly amount at a current time node and the liquid inlet pseudo-plugging pressure performance similarity; and wherein the corrected pressure anomaly amount is inversely proportional to the liquid inlet pseudo-plugging pressure performance similarity.

[0014] Further, the adjustment of the liquid inlet speed based on the liquid inlet pseudo-plugging pressure performance similarity comprises: calculating an optimized liquid inlet speed based on the liquid inlet speed at a current time node and the liquid inlet pseudo-plugging pressure performance similarity; and wherein the optimized liquid inlet speed is inversely proportional to the liquid inlet pseudo-plugging pressure performance similarity.

[0015] An embodiment of the present application also provides a regulating system of a separation device, comprising: a pressure sensor installed at a filter membrane liquid inlet end and a liquid outlet end of the separation device and an upper computer.

[0016] The pressure sensor is configured to collect real-time pressure data of the two ends of the filter membrane and send the real-time monitoring data to the upper computer.

[0017] The upper computer is configured to acquire real-time monitoring data, determine a pressure abnormality amount based on the real-time monitoring data, determine an abnormal liquid inlet fluid area based on the pressure abnormality amount, determine liquid inlet pseudo-plugging pressure performance similarity based on the abnormal liquid inlet fluid area, wherein the liquid inlet pseudo-plugging pressure performance similarity is used to represent a similarity degree between characteristics of the abnormal liquid inlet fluid area and characteristics of a filter membrane pseudo-plugging, determine the filter membrane state based on the liquid inlet pseudo-plugging pressure performance similarity, adjust a liquid inlet speed based on the liquid inlet pseudo-plugging pressure performance similarity when the filter membrane state is pseudo-plugging, and adjust the pressure abnormality amount based on the liquid inlet pseudo-plugging pressure performance similarity, and trigger an alarm when the filter membrane state is real plugging.

[0018] The technical scheme of the present application has the following beneficial effects:

[0019] In the embodiment of the present application, real-time monitoring data is acquired, a pressure abnormality amount is determined based on the real-time monitoring data, an abnormal liquid inlet fluid area is determined based on the pressure abnormality amount, liquid inlet pseudo-plugging pressure performance similarity is determined based on the abnormal liquid inlet fluid area, the filter membrane state is determined based on the liquid inlet pseudo-plugging pressure performance similarity, the liquid inlet speed is adjusted based on the liquid inlet pseudo-plugging pressure performance similarity when the filter membrane state is pseudo-plugging, the pressure abnormality amount is adjusted based on the liquid inlet pseudo-plugging pressure performance similarity, and an alarm is triggered when the filter membrane state is real plugging. Thus, the present application can accurately distinguish between pseudo-plugging caused by liquid viscosity or concentration fluctuation and real filter membrane plugging by constructing a triple discrimination logic of pressure abnormality amount, abnormal liquid inlet fluid area and liquid inlet pseudo-plugging pressure performance similarity through real-time acquisition of pressure data of the filter membrane liquid inlet end and liquid outlet end, significantly reducing the misjudgment rate caused by the traditional pressure difference threshold, avoiding unnecessary speed reduction or shutdown alarm, and ensuring continuous production. On the other hand, when pseudo-plugging is determined, the liquid inlet speed and abnormality determination threshold can be adjusted in reverse according to the similarity index, which not only timely relieves the instantaneous resistance caused by high-viscosity and high-concentration liquid, but also dynamically raises the plugging alarm threshold, realizes flexible control of self-adaptive speed reduction without quality reduction, and further improves the separation efficiency. On the other hand, when real plugging is confirmed, an alarm is triggered immediately, which facilitates the replacement of the filter membrane by the operation and maintenance personnel, reduces the risk of product pollution and equipment damage, and overall forms a closed-loop control system from monitoring, diagnosis to regulation, alarm, and significantly improves the intelligence, reliability and economy of the separation process. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creating any inventive labor.

[0021] Figure 1 A flowchart of a control method of a separation device provided by an embodiment of the present application is shown in FIG. 1.

[0022] Figure 2 A structural diagram of a control system of a separation device provided by an embodiment of the present application is shown in FIG. 2. DETAILED DESCRIPTION

[0023] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined purposes, the following describes in detail the specific implementation, structure, features and effects of a control method and system of a separation device according to the present application, with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0024] 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 the present application belongs.

[0025] The following describes in detail the specific scheme of a control method and system of a separation device provided by the present application, with reference to the accompanying drawings.

[0026] Please refer to Figure 1 which shows a control method of a separation device provided by an embodiment of the present application, comprising:

[0027] Step S110: acquiring real-time monitoring data; wherein the real-time monitoring data is collected by pressure sensors installed at the liquid inlet end and the liquid outlet end of the filter membrane of the separation device.

[0028] It should be noted that a filter membrane (may also be referred to as a filter membrane) is arranged in the filter separation device, and pressure sensors are installed at both ends of the filter membrane. The pressure sensors are usually installed at both ends of the filter membrane, i.e. the liquid inlet end (may also be referred to as the front end) and the liquid outlet end (may also be referred to as the rear end), for real-time monitoring of the pressure at both ends of the filter membrane. By measuring the pressure difference at both ends of the filter membrane, the resistance of the filter membrane, the flow rate change and whether the filter membrane is blocked can be determined. In addition, the pressure sensors can transmit the pressure data in real time to the electronic device performing the above control method through wireless or limited means. The specific communication method is a known technology in the art, and the present embodiment will not be described in detail.

[0029] It should be further explained that the real-time monitoring data can be floating-point discrete data, which can be electrical data of the pressure sensor, rather than pressure conversion values. This is because the original signal output by the sensor is an electrical signal (such as voltage or current), which has not been converted into a physical pressure value by a formula or calibration table. Direct use of electrical data can save conversion steps and reduce errors, and subsequent processing can be uniformly converted. In addition, the sampling results of the pressure sensor can also be subjected to moving average processing, for example: the sampling rate of the monitoring data of the pressure sensor is 10 times per second, and the sampling rate after moving average processing can be reduced to 3 times per second. It can be understood that the above moving average processing is a filtering means, which aims to reduce the noise of the original signal and smooth the data fluctuation, while retaining sufficient signal characteristics, so as to more accurately identify the pressure anomaly caused by the change of liquid viscosity or concentration, and avoid misjudgment as filter membrane blockage. The above moving average processing is a commonly used filtering means, and its specific implementation mode can be referred to related technologies, and the embodiments of the present application will not be described here.

[0030] Step S120: determining a pressure anomaly amount based on the real-time monitoring data.

[0031] It should be noted that the pressure value discrete sequence of the liquid inlet end can be represented as , and the pressure value discrete sequence of the liquid outlet end can be represented as . Considering that the liquid to be separated is limited by dissolved impurities, pharmaceutical excipients, etc., which may cause inconsistent viscosity, and inconsistent viscosity may cause changes in pressure on both sides of the filter membrane, thereby causing misjudgment problems, the embodiments of the present application first need to identify the abnormal state of the pressure on both sides of the filter membrane, and further analyze the possible misjudgment results and the feedback adjustment of the liquid inlet speed according to the specific blockage performance and viscosity amount in the abnormal state. The embodiments of the present application provide the following scheme:

[0032] Preferably, in an embodiment of the present application, the above step S120 can include: obtaining, in the real-time monitoring data, a first pressure value sequence and a second pressure value sequence corresponding to both sides of the filter membrane in a target period; wherein the target period is used to represent a period with a preset length and with the current time node as the end point; calculating a difference abnormality amount of the pressure difference at the current time node based on the first pressure value sequence and the second pressure value sequence; wherein the difference abnormality amount is used to represent the deviation degree of the pressure difference on both sides of the filter membrane at the current time node relative to the historical pressure difference fluctuation range in the target period; calculating a first abnormality score of the first pressure value at the current time node in the first pressure value sequence and a second abnormality score of the second pressure value at the current time node in the second pressure value sequence, respectively; wherein the abnormality score is used to represent the deviation degree of the pressure value at the current time node relative to the historical pressure mean value in the pressure value sequence; and calculating the pressure anomaly amount based on the difference abnormality amount and the mean value of the first abnormality score and the second abnormality score.

[0033] Preferably, in one embodiment of the present invention, the above-mentioned calculation of the differential anomaly of the pressure difference at the current time node based on the first pressure value sequence and the second pressure value sequence includes: calculating the pressure value difference between the first pressure value sequence and the second pressure value sequence at the same time node, and obtaining the pressure difference index at both ends of the filter membrane corresponding to each time node within the target time period; for several time nodes located before the current time node, calculating the difference between the pressure difference index at both ends of the filter membrane corresponding to each time node and the pressure difference index at both ends of the filter membrane at the current time node, and calculating the sum of the differences; and calculating the differential anomaly based on the pressure difference index at both ends of the filter membrane at the current time node and the sum of the differences.

[0034] It should be noted that: obtaining the pressure value sequence at both ends of the filter membrane and analyzing it at the current time point... (One pressure value is collected at each time point) The upper and lower pressure values ​​( The difference between the pressure at the upper and lower ends of the filter membrane and its historical pressure data is considered. The pressure difference refers to the difference between the pressure exerted on the upper end and the lower end of the filter membrane by the influent fluid during the separation and filtration process. This difference can be calculated using the pressure difference index across the filter membrane. (Current time point) Pressure difference index at both ends of the filter membrane The calculation method can be expressed as: A higher value for the pressure difference index across the filter membrane indicates a greater pressure difference experienced by the membrane during filtration, meaning a higher influent volume relative to the effluent volume, and consequently, a higher degree of influent blockage. Furthermore, due to inconsistencies in influent concentration and viscosity, the pressure difference index across the filter membrane varies at different time points. When the influent viscosity or concentration is high, buildup often occurs at the influent end of the membrane, resulting in a higher pressure at the influent end compared to other time points, thus leading to a greater pressure difference between the influent and effluent ends. Similarly, pressure differences between the upper and lower ends can be a potential inducing factor for membrane blockage, but can also be misdiagnosed as blockage. Therefore, the difference across the filter membrane can manifest in two ways: its inherent difference and the change in the difference at different time points. In this case, the abnormal difference can be quantified as follows:

[0035]

[0036] in, This indicates the time node. The number of outliers; This represents the total number of nodes (historical data volume) involved in calculating the differences and anomalies at different time points. Indicates from the time node to time node difference change result sum.

[0037] The difference value between the two ends of the filter membrane is always proportional to the difference abnormal amount, because it is related to the blocking situation on the filter membrane. The greater the pressure difference, the higher the probability of being considered as blocking in a strict sense. Correspondingly, the difference value of the pressure difference between the upper and lower ends at different time nodes reflects the concentration and other parameters of the liquid inlet. The higher the concentration or viscosity, the more obvious the accumulation effect at the inlet, and the difference between the upper and lower ends will change with the advancement of the time node. Therefore, the higher the difference abnormal amount (after normalization), the higher the abnormal amount of the difference between the upper and lower ends.

[0038] The change abnormality of the two ends of the filter membrane itself at the time node is also a reference factor for the pressure abnormal amount, because it reflects the state of the liquid itself. As mentioned above, when the viscosity and concentration of the liquid inlet change, the total pressure of the upper end of the filter membrane will increase in a short time due to the accumulation effect. When there is no blocking situation, the filter membrane filtration pressure increases, and the outlet flow rate of the lower end also increases, at which time the lower end pressure also rises. Therefore, in order to quantify the pressure abnormal amount of the same port at different times, taking the inlet port pressure value as an example, the filter inlet port pressure value sequence between time nodes and , that is, the first pressure value sequence between time nodes and , is obtained. Taking the pressure value at the current time node as the analysis object, the abnormal score of the node pressure value is calculated. The closer the value of the abnormal score to 1, the higher the degree of abnormality. Finally, the pressure abnormal amount at the current time node can be calculated:

[0039]

[0040] wherein, represents the pressure abnormal amount at the time node ; represents the average of the first abnormal score of the pressure value at the current time node in the inlet port pressure value sequence and the second abnormal score of the pressure value at the current time node in the outlet port pressure value sequence; For normalization processing. At the current time node, the higher the pressure anomaly amount, the more likely it is to be considered as the cause of the blockage, and the more specific judgment is needed because of the liquid concentration of the inlet liquid or because of the blockage. When the judgment is caused by the concentration of the inlet liquid, feedback control is needed for the inlet liquid speed, and the inlet liquid speed value is reduced in real time. When the judgment is caused by the blockage, real-time alarm processing is needed for the filter membrane blockage to achieve closed-loop separation device adjustment control.

[0041] It should be further pointed out that the above abnormal score can be calculated by Z-score. Z-score is a statistical quantity for measuring the degree of deviation of a data point from the average value of the data sequence it belongs to. It is in units of standard deviation, indicating the deviation multiple of the current pressure value relative to the overall fluctuation of the history. The higher the Z-score, the more abnormal the pressure value at this time, the more likely it is to correspond to the filter membrane blockage or the fluid viscosity mutation. It can be understood that Z-score is a relatively mature known technology, and its specific implementation mode can be referred to related technology, and the embodiment of the present application will not be repeated.

[0042] Step S130: determining an abnormal inlet fluid area based on the pressure anomaly amount.

[0043] Preferably, in an embodiment of the present application, the above step S130 can include: determining a target time node at which the pressure anomaly amount is in a preset abnormal range, and obtaining an abnormal inlet fluid area including the real-time inlet fluid corresponding to the target time node. For example, the real-time inlet fluid corresponding to the time node at which the pressure anomaly amount is in the range

[0044] Step S140: determining inlet pseudo-blockage pressure performance similarity based on the abnormal inlet fluid area; wherein the inlet pseudo-blockage pressure performance similarity is used to represent the similarity between the characteristics of the abnormal inlet fluid area and the characteristics of the filter membrane pseudo-blockage.

[0045] ​It needs to be explained that the above abnormal liquid inlet fluid area has two possibilities: one is the pseudo-plugging caused by the difference in normal liquid inlet liquid concentration and viscosity, and the other is the abnormality caused by real plugging. At this time, it is necessary to judge in combination with the actual flow characteristics. First of all, the specific characteristics are explained: when the filter membrane is not blocked, the pressure difference of the filtering device is mainly affected by the viscosity and concentration of the inlet liquid, specifically: the flow rate of high-viscosity liquid is slower, and the flow rate of low-viscosity liquid is faster. The change of viscosity will directly affect the flow rate of liquid on the membrane surface, causing uneven flow, and then affecting the pressure difference. And the higher the concentration of particulate matter, the greater the resistance of the liquid to pass through the membrane, and the pressure difference will also increase, but this increase is gradual, and with the flow of liquid, the surface of the membrane will have a certain degree of particle deposition, causing local flow rate changes, thereby causing fluctuations in the pressure difference. In short, when the pressure difference caused by the viscosity and concentration of the inlet liquid (such as uneven protein content in biological and medical liquids) is generated, the fluctuation is usually gradual, and there may be a large pressure difference at the beginning, but as the filtration time elapses, the liquid passes through the filter membrane, and the pressure difference generally presents a linear change or a small amplitude fluctuation, reflecting the influence of viscosity and particle concentration on flow rate and filtration resistance. Therefore, at this time, it is necessary to dynamically analyze the pressure difference change of the abnormal inlet fluid area. Therefore, the embodiment of the present application provides the following scheme:

[0046] Preferably, in an embodiment of the present application, the above step S140 can include: based on the pressure anomaly amount of the abnormal inlet fluid area at multiple time nodes, obtaining a fluid anomaly amount analysis sequence; fitting the fluid anomaly amount analysis sequence to obtain a fluid anomaly amount curve and a curve slope of the fluid anomaly amount curve at each time node; based on the curve slope, calculating the inlet pseudo-plugging pressure performance similarity.

[0047] Preferably, in an embodiment of the present application, the above calculation of the inlet pseudo-plugging pressure performance similarity based on the curve slope includes: based on the number of time nodes with a curve slope less than a preset slope threshold, calculating the inlet pseudo-plugging pressure performance similarity; wherein the more the number of time nodes with a curve slope less than a preset slope threshold, the greater the value of the inlet pseudo-plugging pressure performance similarity.

[0048] It needs to be explained that the pressure anomaly amount of the abnormal inlet fluid area at multiple time nodes is obtained to obtain a fluid area anomaly amount analysis sequence, which is a fluid section (a plurality of time nodes are combined):

[0049]

[0050] When the fluid anomaly quantity analysis sequence presents the feature of initial higher and gradual (gradually lower) over time, the liquid inlet characteristic of the liquid inlet fluid area corresponding to the fluid anomaly quantity sequence presents lower similarity with the plugging pressure, in other words, the liquid inlet characteristic of the liquid inlet fluid area corresponding to the fluid anomaly quantity sequence presents higher similarity with the pseudo-plugging pressure, that is, the long-term cumulative pressure difference is not caused by plugging.

[0051] The following analyzes the liquid inlet pseudo-plugging pressure similarity: all elements in the fluid anomaly quantity analysis sequence are obtained, and a continuous curve is obtained by fitting the elements by using the least square method, and the curve slope corresponding to each time node in the curve is obtained When the curve presents a decreasing trend over time, that is, the slope is always less than 0, then the sequence change corresponding to the curve conforms to the viscous liquid inlet condition. The liquid inlet pseudo-plugging pressure similarity at this time can be expressed as:

[0052]

[0053] Wherein, represents the liquid inlet pseudo-plugging pressure similarity of the i-th fluid section; represents a symbol function, when the value always presents less than 0, the result is always-1, then the minimum value of the summation result is-T, the calculation result of the denominator part is closer to 0, the value of is larger. Conversely, when the value is not larger than 0 the result of may be 0 (may also be 1), then the summation result will be greater than-T, the calculation result of the denominator part will be greater than 0, the value of

[0054] is relatively low. After obtaining the liquid inlet pseudo-plugging pressure similarity value, when the similarity is high, it is proved that the pressure difference change is not caused by plugging, because the change characteristic completely conforms to the feature of the viscous liquid inlet fluid.

[0055] Further need to be explained is that the fitting method based on the least square method is a relatively mature known technology, and the specific implementation method can be referred to related technologies, and the embodiment of the application will not be repeated.

[0056] Preferably, in one embodiment of the present application, the step S150 can comprise: normalizing the inlet pseudo-fouling pressure performance similarity; when the normalized inlet pseudo-fouling pressure performance similarity is within a preset similarity threshold range, determining that the filter membrane is in a pseudo-fouling state, otherwise, determining that the filter membrane is in a real-fouling state. For example, the inlet pseudo-fouling pressure performance similarity value is normalized, and when the normalized similarity value is within the range of , it is considered that the inlet viscous amount, i.e., the temporary pressure anomaly caused by the inlet liquid itself, is present.

[0057] Step S160: When the filter membrane state is pseudo-fouling, adjusting the inlet speed based on the inlet pseudo-fouling pressure performance similarity, and adjusting the abnormality determination threshold based on the inlet pseudo-fouling pressure performance similarity.

[0058] Preferably, in one embodiment of the present application, the step S160 adjusts the pressure anomaly amount based on the inlet pseudo-fouling pressure performance similarity, comprising: calculating a corrected pressure anomaly amount based on the pressure anomaly amount at the current time node and the inlet pseudo-fouling pressure performance similarity; wherein the corrected pressure anomaly amount is inversely proportional to the inlet pseudo-fouling pressure performance similarity.

[0059] Preferably, in one embodiment of the present application, the step S160 adjusts the inlet speed based on the inlet pseudo-fouling pressure performance similarity, comprising: calculating an optimized inlet speed based on the inlet speed at the current time node and the inlet pseudo-fouling pressure performance similarity; wherein the optimized inlet speed is inversely proportional to the inlet pseudo-fouling pressure performance similarity.

[0060] It should be noted that the calculation method of the corrected pressure anomaly amount can be:

[0061]

[0062] wherein, is the corrected pressure anomaly amount.

[0063] It can be understood that when the filter membrane state is determined to be pseudo-fouling, the value is larger, at this time, the corrected pressure anomaly amount is appropriately reduced, and then when the corrected pressure anomaly amount is compared with the pressure anomaly determination threshold, there is a larger probability of being determined as non-anomalous, thereby reducing the misjudgment probability of determining pseudo-fouling as real-fouling. In addition, the above correction of the pressure anomaly amount, when determined as pseudo-fouling, the reduction of the pressure anomaly amount can also be understood as the increase of the abnormality determination threshold. Increasing the abnormality determination threshold in the pseudo-fouling state, that is, increasing the tolerance degree of the pseudo-fouling state, thereby reducing the misjudgment probability of determining pseudo-fouling as real-fouling.

[0064] Suppose the current inlet speed is When the range of the viscosity amount is satisfied, it is considered that the protein, sugar content and pharmaceutical excipients in the liquid inlet fluid are high at this time, and the filtration and separation speed of the filter membrane needs to be reduced in real time, and the calculation method of optimizing the inlet fluid speed can be:

[0065]

[0066] Among them, Indicates the optimized inlet fluid speed.

[0067] Step S170: when the filter membrane state is real clogging, triggering an alarm.

[0068] Please refer to Figure 2 , which shows a control system 200 of a separation device provided by an embodiment of the application, comprising: pressure sensors 210 installed at the inlet and outlet of the filter membrane of the separation device and an upper computer 220, wherein:

[0069] The pressure sensor 210 is used to collect real-time pressure data of both ends of the filter membrane, and send the real-time monitoring data to the upper computer 220;

[0070] The upper computer 220 is used to obtain real-time monitoring data; based on the real-time monitoring data, determine the pressure abnormal amount; based on the pressure abnormal amount, determine the abnormal inlet fluid area; based on the abnormal inlet fluid area, determine the inlet fluid pseudo-clogging pressure performance similarity; wherein, the inlet fluid pseudo-clogging pressure performance similarity is used to represent the similarity between the characteristics of the abnormal inlet fluid area and the characteristics of the filter membrane pseudo-clogging; based on the inlet fluid pseudo-clogging pressure performance similarity, determine the filter membrane state; when the filter membrane state is pseudo-clogging, adjust the inlet fluid speed based on the inlet fluid pseudo-clogging pressure performance similarity, and adjust the pressure abnormal amount based on the inlet fluid pseudo-clogging pressure performance similarity; when the filter membrane state is real clogging, triggering an alarm.

[0071] It should be noted that: the upper computer can realize part or all of the functions of the above-mentioned control method of the separation device, and the specific way of realizing the corresponding function is described in the above-mentioned control method of the separation device, which will not be repeated here.

[0072] So far, the application is completed.

[0073] To sum up, in the embodiment of the present application, real-time monitoring data is acquired; based on the real-time monitoring data, the pressure anomaly amount is determined; based on the pressure anomaly amount, the abnormal liquid inlet fluid area is determined; based on the abnormal liquid inlet fluid area, the liquid inlet pseudo-plugging pressure performance similarity is determined; based on the liquid inlet pseudo-plugging pressure performance similarity, the filter membrane state is determined; when the filter membrane state is pseudo-plugging, the liquid inlet speed is adjusted based on the liquid inlet pseudo-plugging pressure performance similarity, and the pressure anomaly amount is adjusted based on the liquid inlet pseudo-plugging pressure performance similarity; when the filter membrane state is real plugging, an alarm is triggered. The present application can accurately distinguish between pseudo-plugging caused by liquid viscosity or concentration fluctuation and real filter membrane plugging by collecting pressure data of the filter membrane liquid inlet end and liquid outlet end in real time, constructing pressure anomaly amount, abnormal liquid inlet fluid area and liquid inlet pseudo-plugging pressure performance similarity triple discrimination logic, significantly reducing the misjudgment rate caused by traditional pressure difference threshold judgment, avoiding unnecessary speed reduction or shutdown alarm, and ensuring continuous production. On the other hand, when pseudo-plugging is determined, the liquid inlet speed and abnormal determination threshold can be adjusted in reverse according to the similarity index, which not only timely relieves the instantaneous resistance caused by high viscosity and high concentration liquid, but also dynamically raises the plugging alarm threshold, realizes flexible control of self-adaptive speed reduction without quality reduction, and further improves the separation efficiency. On the other hand, when real plugging occurs, an alarm is triggered immediately, which is convenient for maintenance personnel to replace the filter membrane, reduces the risk of product pollution and equipment damage, and overall forms a closed-loop control system from monitoring, diagnosis to regulation, alarm, significantly improving the intelligence, reliability and economy of the separation process.

[0074] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for controlling a separation device, characterized in that, The method includes: Acquire real-time monitoring data; wherein, the real-time monitoring data is collected by pressure sensors installed at the inlet and outlet ends of the filter membrane of the separation device; Based on the real-time monitoring data, the abnormal pressure amount is determined; Based on the aforementioned pressure anomaly, the abnormal inlet fluid zone is determined; Based on the pressure anomalies in the abnormal fluid inlet zone at multiple time points, a fluid anomaly analysis sequence is obtained. The fluid anomaly analysis sequence is fitted to obtain the fluid anomaly curve and the slope of the fluid anomaly curve at each time node. The similarity of inlet pseudo-blockage pressure performance is calculated based on the number of time points where the curve slope is less than a preset slope threshold. The more time points where the curve slope is less than the preset slope threshold, the greater the value of the similarity of inlet pseudo-blockage pressure performance. The similarity of inlet pseudo-blockage pressure performance is used to characterize the degree of similarity between the abnormal inlet fluid zone characteristics and the filter membrane pseudo-blockage characteristics. The state of the filter membrane is determined based on the similarity of the pressure performance of the pseudo-blockage at the inlet. When the filter membrane is in a pseudo-clogging state, the inlet flow rate is adjusted based on the similarity of the inlet pseudo-clogging pressure performance, and the pressure anomaly amount is adjusted based on the similarity of the inlet pseudo-clogging pressure performance. An alarm is triggered when the filter membrane is found to be truly clogged.

2. The control method for the separation device according to claim 1, characterized in that, The determination of abnormal pressure based on the real-time monitoring data includes: The first pressure value sequence and the second pressure value sequence corresponding to both ends of the filter membrane within the target time period are obtained from the real-time monitoring data; wherein, the target time period is used to characterize a time period with the current time node as the end point and a preset duration; Based on the first pressure value sequence and the second pressure value sequence, the differential anomaly of the pressure difference at the current time point is calculated; wherein, the differential anomaly is used to characterize the degree of deviation of the pressure difference across the filter membrane at the current time point relative to the historical pressure difference fluctuation range within the target time period; Calculate the first anomaly score of the first pressure value at the current time point in the first pressure value sequence and the second anomaly score of the second pressure value at the current time point in the second pressure value sequence; wherein, the anomaly score is used to characterize the degree of deviation of the pressure value at the current time point from the historical pressure mean in the pressure value sequence; The pressure anomaly is calculated based on the difference anomaly quantity and the average of the first anomaly score and the second anomaly score.

3. The control method for the separation device according to claim 2, characterized in that, The step of calculating the differential anomaly of the pressure difference at the current time point based on the first pressure value sequence and the second pressure value sequence includes: Calculate the pressure difference between the first pressure value sequence and the second pressure value sequence at the same time node, and obtain the pressure difference index at both ends of the filter membrane corresponding to each time node in the target time period; For several time nodes preceding the current time node, calculate the difference between the pressure difference index across the filter membrane at each time node and the pressure difference index across the filter membrane at the current time node, and calculate the sum of the differences; Based on the pressure difference index at both ends of the filter membrane at the current time point and the sum of the differences, the abnormality amount is calculated.

4. The control method for the separation device according to claim 1, characterized in that, The step of determining the abnormal inlet fluid zone based on the abnormal pressure reading includes: Determine the target time point when the pressure anomaly is within the preset anomaly range, and obtain the abnormal inlet fluid zone including the real-time inlet fluid corresponding to the target time point.

5. The control method for the separation device according to claim 1, characterized in that, The step of determining the filter membrane state based on the similarity of the inlet pseudo-blockage pressure performance includes: The similarity of the pressure performance of the pseudo-blockage at the inlet was normalized. When the similarity of the pseudo-blockage pressure of the inlet after normalization is within a preset similarity threshold range, the filter membrane is determined to be in a pseudo-blockage state; otherwise, the filter membrane is determined to be in a true blockage state.

6. The control method for the separation device according to claim 1, characterized in that, Adjusting the pressure anomaly based on the similarity of the pressure performance of the pseudo-blockage at the inlet includes: Based on the pressure anomaly at the current time point and the similarity of the pressure performance of the pseudo-blockage at the inlet, a corrected pressure anomaly is calculated; wherein, the corrected pressure anomaly is inversely proportional to the similarity of the pressure performance of the pseudo-blockage at the inlet.

7. The control method for the separation device according to claim 1, characterized in that, The adjustment of the inlet flow rate based on the similarity of the inlet pseudo-blockage pressure performance includes: Based on the current inlet flow rate and the similarity of the pseudo-blockage pressure performance at the inlet flow point, an optimized inlet flow rate is calculated; wherein, the optimized inlet flow rate is inversely proportional to the similarity of the pseudo-blockage pressure performance.

8. A control system for a separation device, characterized in that, A method for controlling the separation device as described in any one of claims 1-7, comprising: pressure sensors installed at the inlet and outlet ends of the filter membrane of the separation device, and a host computer, wherein: The pressure sensor is used to collect real-time pressure data at both ends of the filter membrane and send the real-time monitoring data to the host computer. The host computer is used to acquire real-time monitoring data; determine the pressure anomaly based on the real-time monitoring data; determine the abnormal inlet fluid zone based on the pressure anomaly; determine the similarity of the pressure performance of the pseudo-blockage inlet fluid zone based on the abnormal inlet fluid zone; wherein, the similarity of the pressure performance of the pseudo-blockage inlet fluid zone is used to characterize the degree of similarity between the characteristics of the abnormal inlet fluid zone and the characteristics of the filter membrane pseudo-blockage; determine the filter membrane state based on the similarity of the pressure performance of the pseudo-blockage inlet fluid zone; when the filter membrane state is pseudo-blockage, adjust the inlet flow rate based on the similarity of the pressure performance of the pseudo-blockage inlet fluid zone, and adjust the pressure anomaly based on the similarity of the pressure performance of the pseudo-blockage inlet fluid zone; trigger an alarm when the filter membrane state is true blockage.

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