Intelligent control method and system for metal sintered filter element filtering and separating device

Abstract

The present application relates to the technical field of porous metal filtering device, and particularly relates to a metal sintered filter element filtering and separating device intelligent control method and system, which comprises the following steps: obtaining the prominent performance of the plugging degree at each time according to the difference of the pressure difference parameters between adjacent time of the metal sintered filter element filtering and separating device; obtaining the backwashing trigger index at each time according to the prominent performance of the plugging degree and the pressure difference parameters at each time and before each time, so as to determine the trigger time; obtaining the backwashing strength requirement from the backwashing trigger index, the pressure difference parameter and the prominent performance of the plugging degree, so as to output the backwashing control instruction of the trigger time. The present application determines the trigger time in combination with the real-time plugging condition inside the metal sintered filter element filtering and separating device, improves the accuracy and reliability of the backwashing trigger start control, and the backwashing strength requirement of the trigger time is related to the actual state of the trigger time, which can improve the backwashing effect.

Description

Technical Field

[0001] This invention relates to the field of porous metal filtration devices, specifically to an intelligent control method and system for a metal sintered filter element filtration and separation device. Background Technology

[0002] Metal sintered filter elements are made from metal powders (such as stainless steel, brass, nickel, titanium, etc.) or metal fibers, formed by molding, and sintered in a high-temperature, high-pressure sintering furnace. The powder particles bond together at temperatures below their melting points, forming a robust porous body with numerous interconnected micropores. Metal sintered filter element filtration and separation devices can be used to separate and collect solid particulate impurities from liquids or gases.

[0003] During operation, the solid particles separated and trapped in a sintered metal filter cartridge filtration system gradually form a filter cake layer, increasing filtration resistance and even clogging the filter cartridge pores. In such cases, backwashing is often necessary to flush away the filter cake layer and restore the filtration capacity of the sintered metal filter cartridge filtration system. Current technology often controls backwashing of sintered metal filter cartridge filtration systems by detecting the pressure difference between the inlet and outlet of the system and setting a fixed pressure difference threshold. Backwashing is initiated when the detected pressure difference exceeds the threshold. However, the internal structure of a sintered metal filter cartridge filtration system is complex, and its internal environment is variable. Using a fixed pressure difference threshold for backwashing is too simplistic and does not consider the actual clogging conditions within the system, thus affecting the accuracy and reliability of backwashing control. Summary of the Invention

[0004] To address the technical problem of low accuracy in backwashing control of existing sintered metal filter cartridge filtration and separation devices, the present invention aims to provide an intelligent control method and system for sintered metal filter cartridge filtration and separation devices. The specific technical solution adopted is as follows:

[0005] In a first aspect of the present invention, a smart control method for a metal sintered filter element filtration and separation device is provided, comprising:

[0006] Determine the differential pressure parameters of the metal sintered filter element filtration and separation device at various times;

[0007] Based on the difference in pressure differential parameters between adjacent time points, the degree of clogging of the metal sintered filter element filtration and separation device at each time point is obtained.

[0008] Based on the prominent manifestations of blockage and differential pressure parameters at each time point and before, the backwash trigger indexes at each time point are obtained;

[0009] The triggering time is determined by the backwash triggering indicators at each time point;

[0010] Output backwash control commands at the trigger moment. The backwash control commands include backwash intensity requirements, which are obtained from the backwash trigger index, differential pressure parameter, and degree of blockage at the trigger moment.

[0011] In an exemplary embodiment, determining the differential pressure parameter of the metal sintered filter element filtration separation device at various times includes:

[0012] Determine the actual temperature of the fluid in the metal sintered filter element filtration and separation device at each moment, as well as the detection pressure difference at each moment;

[0013] Based on the relationship between the actual temperature and the preset reference temperature at each moment, the detected pressure difference at each moment is mapped to the preset reference temperature to obtain the pressure difference parameter at each moment.

[0014] In one exemplary embodiment, the process of obtaining the degree of congestion includes:

[0015] Determine the increase in the pressure differential parameter at each time point relative to its adjacent previous time point;

[0016] Based on the differences in the increase of the differential pressure parameter at each time point with the preceding and following time points, the abrupt change in the differential pressure parameter at each time point is obtained.

[0017] Determine the first degree of excess of the differential pressure parameter at each time point relative to the overall level of the differential pressure parameter at all previous time points;

[0018] The degree of blockage is determined based on the sudden change in the differential pressure parameter and the first degree of excess; the degree of blockage is positively correlated with both the sudden change in the differential pressure parameter and the first degree of excess.

[0019] In an exemplary embodiment, the process of obtaining the abrupt change in the differential pressure parameter includes:

[0020] The differences in the increase of the first differential pressure parameter and the differences in the increase of the second differential pressure parameter are determined at each time point; the difference in the increase of the first differential pressure parameter is the difference between the increase of the differential pressure parameter at each time point and the previous time point adjacent to it, and the difference in the increase of the second differential pressure parameter is the difference between the increase of the differential pressure parameter at each time point and the next time point adjacent to it.

[0021] By integrating the differences in the increase of the first differential pressure parameter and the difference in the increase of the second differential pressure parameter at each time point, the abrupt change in the differential pressure parameter at each time point is obtained;

[0022] The first excessive acquisition process includes:

[0023] Calculate the ratio of the differential pressure parameter at each time point to the overall level of the differential pressure parameter at all previous time points, and use this ratio as the first excess level at each time point.

[0024] In an exemplary embodiment, the process of obtaining the backwash trigger indicator includes:

[0025] The degree of congestion at each moment is identified as the second highest level of congestion relative to the overall level of congestion at all previous moments.

[0026] The weighting coefficients for the most prominent blockage at each time point are obtained from the differential pressure parameters at each time point; these weighting coefficients are positively correlated with the differential pressure parameters.

[0027] Calculate the weighted sum of the prominent congestion levels and weighting coefficients at each time point and all previous time points;

[0028] Based on the second excess degree and the weighted sum, the backwash trigger index at each time point is obtained; the backwash trigger index is positively correlated with both the second excess degree and the weighted sum.

[0029] In an exemplary embodiment, the process of obtaining the backwash intensity requirement includes:

[0030] The index of the change and fluctuation of the prominent manifestation of congestion at the trigger time is determined by the change and fluctuation of the prominent manifestation of congestion at the trigger time and all the time before it.

[0031] Based on the backwash triggering index, differential pressure parameter, and fluctuation index at the triggering time, the backwash intensity demand coefficient at the triggering time is obtained; the backwash intensity demand coefficient is positively correlated with the backwash triggering index, differential pressure parameter, and fluctuation index.

[0032] The backwash intensity requirement at the triggering time is obtained by comparing the backwash intensity requirement coefficient at the triggering time with the preset benchmark backwash intensity.

[0033] In an exemplary embodiment, after the backwash control command is output at the trigger moment, the intelligent control method for the metal sintered filter element filtration and separation device further includes:

[0034] Determine the backwash failure assessment result at the latest trigger time after the backwash operation is performed according to the backwash control command at the latest trigger time;

[0035] The backwash intensity requirement for the next triggering time is adjusted based on the backwash failure assessment results at the latest triggering time.

[0036] In an exemplary embodiment, the process of obtaining the backwash failure assessment result at the latest triggering moment includes:

[0037] Determine the third degree of excess of the differential pressure parameter of the first associated time of the latest triggering time relative to the differential pressure parameter of the second associated time of the latest triggering time; the first associated time is the last time in the filtering process before the latest triggering time, and the second associated time is the first time in the filtering process after the latest triggering time;

[0038] The fourth degree of excess in the overall level of differential pressure parameter abrupt change in the filtering process after the latest triggering time compared to the filtering process before the latest triggering time;

[0039] The backwash failure performance at the latest triggering moment is obtained from the third and fourth exceedance levels; the backwash failure performance is inversely correlated with the third exceedance level and positively correlated with the fourth exceedance level; the backwash failure performance characterizes the backwash failure assessment result.

[0040] In an exemplary embodiment, adjusting the backwash intensity requirement for the next triggering time based on the backwash failure assessment result of the latest triggering time includes:

[0041] Based on the backwash failure performance at the latest triggering moment, the backwash intensity requirement increase factor for the next triggering moment is obtained; the backwash intensity requirement increase factor is positively correlated with the backwash failure performance.

[0042] The backwash intensity requirement for the next triggering moment is obtained from the backwash intensity requirement increase factor for the next triggering moment and the backwash intensity requirement for the latest triggering moment.

[0043] In a second aspect of the present invention, an intelligent control system for a metal sintered filter element filtration and separation device is provided, comprising: a memory and a processor; the memory is connected to the processor; the memory is used to store program instructions; the processor is used to implement the above-described intelligent control method for the metal sintered filter element filtration and separation device when the program instructions are executed.

[0044] The present invention has the following beneficial effects: Instead of setting a fixed differential pressure threshold (i.e., a fixed backwash triggering condition), the invention determines the triggering time based on the real-time clogging status inside the sintered metal filter element filtration separation device. This improves the accuracy and reliability of the backwash triggering start-up control of the sintered metal filter element filtration separation device. Furthermore, the backwash intensity requirement at the triggering time is not fixed; it is related to the backwash triggering index, differential pressure parameter, and degree of clogging at the corresponding triggering time. This yields a backwash intensity requirement related to the actual state of the sintered metal filter element filtration separation device at the triggering time. Adaptively adjusting the backwash intensity requirement and using this requirement for backwash control improves the backwashing effect and effectively solves the clogging problem. Attached Figure Description

[0045] Figure 1 This is a flowchart of an intelligent control method for a metal sintered filter element filtration and separation device according to an embodiment of the present invention;

[0046] Figure 2 This is a flowchart illustrating the implementation of step S1 provided in one embodiment of the present invention;

[0047] Figure 3 This is a flowchart illustrating the process of obtaining a prominent feature of the degree of blockage provided in one embodiment of the present invention;

[0048] Figure 4 This is a flowchart of the process for obtaining backwash trigger indicators according to an embodiment of the present invention;

[0049] Figure 5 This is a flowchart illustrating the process of obtaining backwash intensity requirements according to one embodiment of the present invention;

[0050] Figure 6 This is a flowchart illustrating the steps of an intelligent control method for a metal sintered filter element filtration and separation device provided in one embodiment of the present invention. Detailed Implementation

[0051] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the specific implementation methods, structures, features, and effects of the present invention are described in detail below 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. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0052] 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. All data and information collected in this application have been obtained with full consent.

[0053] This embodiment provides an intelligent control method for a metal sintered filter cartridge filtration and separation device, which is applicable to controlling the backwashing operation of the metal sintered filter cartridge filtration and separation device during the filtration and separation of fluids, flushing the filter cake layer to restore the filtration capacity of the metal sintered filter cartridge filtration and separation device.

[0054] In one exemplary embodiment, differential pressure sensors are installed at the inlet and outlet of the metal sintered filter element filtration and separation device to detect the pressure difference between the inlet and outlet. The sampling frequency of the differential pressure sensors is set according to actual conditions, such as once per second.

[0055] like Figure 1 As shown in the figure, the intelligent control method for a metal sintered filter element filtration and separation device provided in this embodiment includes the following steps:

[0056] Step S1: Determine the differential pressure parameters of the metal sintered filter element filtration and separation device at various times;

[0057] Step S2: Based on the difference in pressure difference parameters between adjacent time points, the degree of clogging of the metal sintered filter element filtration and separation device at each time point is obtained.

[0058] Step S3: Based on the prominent manifestations of blockage and differential pressure parameters at each time point and before, obtain the backwash trigger index at each time point;

[0059] Step S4: Determine the trigger time based on the backwash trigger indicators at each time point;

[0060] Step S5: Output the backwash control command at the trigger moment. The backwash control command includes the backwash intensity requirement, which is obtained from the backwash trigger index, differential pressure parameter and degree of blockage at the trigger moment.

[0061] The following detailed explanation of each step, in conjunction with the accompanying drawings, is provided.

[0062] Step S1: Determine the differential pressure parameters of the metal sintered filter element filtration and separation device at various times.

[0063] During the filtration and separation of fluids by the sintered metal filter element filtration and separation device, the differential pressure parameter of the sintered metal filter element filtration and separation device at various times is obtained. The differential pressure parameter can be the differential pressure value detected by the differential pressure sensor, i.e., the detected differential pressure mentioned below.

[0064] As fluid temperature increases, molecular thermal motion intensifies, weakening intermolecular cohesion and thus decreasing the fluid's dynamic viscosity. Therefore, there is a correlation between fluid temperature and dynamic viscosity. Conversely, a decrease in dynamic viscosity also leads to a decrease in pressure differential, thus establishing a correlation between dynamic viscosity and pressure differential. To improve the reliability of pressure differential monitoring, this embodiment considers fluid temperature when determining the pressure differential parameter. Accordingly, a temperature sensor is installed at the inlet of the metal sintered filter element filtration separation device. This temperature sensor can be embedded within the inlet to detect the temperature of the fluid within the metal sintered filter element filtration separation device. It should be understood that the temperature sensor and the aforementioned pressure differential sensor have the same sampling frequency and are collected synchronously. In an exemplary embodiment, such as... Figure 2 As shown, the following is a specific implementation process of step S1:

[0065] Step S11: Determine the actual temperature of the fluid in the metal sintered filter element filtration and separation device at each moment, as well as the detection pressure difference at each moment.

[0066] For any given time, taking time t as an example, determine the actual temperature of the fluid inside the metal sintered filter element filtration and separation device at time t, and the detected pressure difference at time t. Here, the actual temperature is the temperature value collected by the temperature sensor, and the detected pressure difference is the pressure difference value collected by the differential pressure sensor.

[0067] Step S12: Based on the relationship between the actual temperature and the preset reference temperature at each moment, map the detected pressure difference at each moment to the preset reference temperature to obtain the pressure difference parameter at each moment.

[0068] In an exemplary embodiment, the highest and lowest temperatures that the fluid in the current application scenario can reach are obtained for the metal sintered filter element filtration and separation device. Therefore, the actual temperature of the fluid must fall within the range between the highest and lowest temperatures. Then, a maximum / minimum value normalization method is used to normalize the actual temperature at each moment to eliminate dimensional influence. Simultaneously, this embodiment presets a reference temperature. This preset reference temperature serves as a benchmark to map the detected pressure difference at each moment to this preset reference temperature, avoiding the influence of temperature differences on the detected pressure difference error. This preset reference temperature also falls within the range between the highest and lowest temperatures and is also normalized using a maximum / minimum value normalization method to eliminate dimensional influence. All temperatures mentioned below are normalized dimensionless data.

[0069] Based on the relationship between the actual temperature at time t and the preset reference temperature, the detected pressure difference at time t is mapped to the preset reference temperature to obtain the pressure difference parameter at time t. When the actual temperature at time t is greater than the preset reference temperature, the fluid dynamic viscosity at time t is lower. Therefore, the detected pressure difference at time t is smaller relative to the preset reference temperature. When mapping to the preset reference temperature, the detected pressure difference at time t needs to be increased, resulting in the pressure difference parameter at time t. The larger the difference between the actual temperature at time t and the preset reference temperature, the greater the increase in the detected pressure difference at time t. Similarly, when the actual temperature at time t is less than the preset reference temperature, the fluid dynamic viscosity at time t is higher. Therefore, the detected pressure difference at time t is larger relative to the preset reference temperature. When mapping to the preset reference temperature, the detected pressure difference at time t needs to be decreased, and the larger the difference between the preset reference temperature and the actual temperature at time t, the greater the decrease in the detected pressure difference at time t. When the actual temperature at time t is equal to the preset reference temperature, the detected pressure difference at time t is not adjusted, and it is used as the pressure difference parameter at time t. Based on the above logical analysis, the following is a specific method for calculating the pressure difference parameter at time t:

[0070] ;

[0071] in, This represents the pressure difference parameter at time t. This represents the detected pressure difference at time t. This represents the actual temperature at time t. This indicates the preset reference temperature.

[0072] This represents the difference between the actual temperature at time t and the preset reference temperature. This represents the differential pressure adjustment coefficient at time t. When the actual temperature at time t is greater than the preset reference temperature, If the value is positive, it is added to 1 to make the differential pressure adjustment coefficient greater than 1, thereby increasing the detected differential pressure at time t; when the actual temperature at time t is less than the preset reference temperature, If the value is negative, adding it to 1 makes the differential pressure adjustment coefficient less than 1, thus reducing the detected differential pressure at time t. It should be understood that since all values ​​are normalized, ... The numerical range of is between -1 and 1, and due to the above normalization method, It won't get too close to -1 or 1. Furthermore, even in a metal sintered filter element filtration and separation device without any blockages, the detected pressure difference at any given time cannot be zero; that is, the pressure difference parameter at any given time cannot be zero.

[0073] To facilitate data processing, this embodiment can standardize the differential pressure parameter to eliminate the influence of dimensions. One standardization method is as follows: In a laboratory setting, a standard metal sintered filter element filtration device of the same type, free from clogging, is used. The same fluid at a preset reference temperature is introduced into the standard metal sintered filter element filtration device, and the differential pressure parameter at this time is measured and used as the reference differential pressure parameter for the fluid. Then, the ratio of the differential pressure parameter at each moment to the reference differential pressure parameter is used as the standardized differential pressure parameter at each moment to eliminate dimensions. All differential pressure parameters mentioned below are standardized differential pressure parameters.

[0074] This allows us to obtain the differential pressure parameters at various times. By adjusting the detected differential pressure based on the fluid temperature, we can reduce the influence of fluid dynamic viscosity on the actual differential pressure. All values ​​are mapped to a preset reference temperature, which can avoid errors in judging the health status of the filter element due to different differential pressure levels caused by fluid temperature differences at different times.

[0075] Step S2: Based on the difference in pressure difference parameters between adjacent time points, the degree of clogging of the metal sintered filter element filtration separation device at each time point is obtained.

[0076] The purpose of this invention is to control backwashing decisions by analyzing the pressure difference in a sintered metal filter cartridge filtration separation device, thereby ensuring the cleanliness of the device and preventing blockages from affecting its normal operation. Therefore, this embodiment requires real-time monitoring of blockages in the sintered metal filter cartridge filtration separation device. Since the sintered metal filter cartridge is a porous structure with numerous interconnected micropores, solid particles are intercepted and gradually accumulate on the filter cartridge surface, forming a filter cake. This increases filtration resistance, leading to a greater pressure difference across the filter cartridge and potentially causing blockages in the interconnected micropores. As the filter cake layer accumulates or the interconnected micropores become increasingly blocked, a significant pressure difference appears across the filter cartridge. The more severe the filter cake accumulation, the greater the filtration resistance, and consequently, the greater the pressure difference. Therefore, changes in the pressure difference can reflect the blockage situation. During normal filtration, the filter cake layer accumulates slowly and gradually, causing the pressure difference to increase gradually, but the increase is not significant. A sudden increase in pressure difference indicates potential blockage of the micropores.

[0077] Based on the difference in pressure differential parameters between adjacent time points, the degree of clogging in the metal sintered filter element filtration and separation device at each time point is obtained. In an exemplary embodiment, such as... Figure 3 As shown below, the process for obtaining a prominent indication of congestion is as follows:

[0078] Step S21: Determine the increase in the differential pressure parameter at each time point relative to its adjacent previous time point.

[0079] Taking time t as an example, the preceding time t is time t-1. The increase in the pressure differential parameter at time t relative to time t-1 is obtained. In this embodiment, the difference between the pressure differential parameter at time t and the pressure differential parameter at time t-1 is calculated as the increase in the pressure differential parameter at time t relative to time t-1.

[0080] ;

[0081] in, This represents the increase in the pressure difference parameter at time t relative to time t-1, and is simply referred to as the increase in the pressure difference parameter at time t. This represents the pressure difference parameter at time t-1.

[0082] The greater the increase in the differential pressure parameter at time t compared to time t-1, the more likely a blockage will occur.

[0083] Step S22: Based on the difference in the increase of the differential pressure parameter at each time point with the preceding and following time points, obtain the abrupt change in the differential pressure parameter at each time point.

[0084] Step S21 is used to obtain the increase in pressure differential parameter at each time point. Taking time t as an example, the differences in the increase in pressure differential parameter between time t and its adjacent previous and next times are obtained. The next time point adjacent to time t is time t+1. The difference between the increase in pressure differential parameter between time t and time t-1 is defined as the first difference in the increase in pressure differential parameter at time t, and the difference between the increase in pressure differential parameter between time t and time t+1 is defined as the second difference in the increase in pressure differential parameter at time t. Then, the first difference in the increase in pressure differential parameter and the second difference in the increase in pressure differential parameter at time t are merged to obtain the abrupt change in pressure differential parameter at time t. In an exemplary embodiment, a specific calculation method for the abrupt change in pressure differential parameter at time t is given below:

[0085] ;

[0086] in, This represents the abrupt change in the differential pressure parameter at time t. This represents the increase in the differential pressure parameter at time t-1. This represents the increase in the differential pressure parameter at time t+1. This represents the difference in the increase of the first differential pressure parameter at time t. This represents the difference in the increase of the second differential pressure parameter at time t. Based on the calculation method for abrupt changes in the differential pressure parameter, the abrupt changes in the differential pressure parameter at time 1 and time 2 are no longer calculated.

[0087] The abrupt change in the differential pressure parameter at time t represents the degree of prominence of the change in the differential pressure parameter at time t before and after its adjacent time points. The larger the value of the abrupt change in the differential pressure parameter at time t, the higher the degree of prominence of the change in the differential pressure parameter at time t before and after its adjacent time points, indicating that micropore blockage is more likely to have occurred at time t. The stronger the prominence of the blockage at time t, the more positive the correlation between the two is.

[0088] Step S23: Determine the first degree of excess of the differential pressure parameter at each time point relative to the overall level of the differential pressure parameter at all previous times.

[0089] The overall level of the differential pressure parameter before time t is determined, that is, the overall level of the differential pressure parameter from time t-1 forward. In an exemplary embodiment, the average value of the differential pressure parameter from time t-1 forward (i.e., the average value of the differential pressure parameter from time 1 to time t-1) is calculated as the overall level of the differential pressure parameter before time t. It should be understood that in this embodiment, all times before time t are defined up to the time of the most recent backwashing operation before time t. That is, the first time among all times before time t is the first time in the normal filtration process of the metal sintered filter element filtration separation device after the most recent backwashing operation.

[0090] The degree of exceedance of the differential pressure parameter at time t relative to the overall level of differential pressure parameters at all previous times is determined. This degree of exceedance characterizes the extent to which the differential pressure parameter at time t is higher than the overall level of differential pressure parameters at all previous times. In an exemplary embodiment, the ratio of the differential pressure parameter at time t to the overall level of differential pressure parameters at all previous times is calculated as the degree of exceedance at time t. A degree of exceedance greater than 1 indicates that the differential pressure parameter at time t is higher than the overall level of differential pressure parameters at all previous times; a degree of exceedance less than 1 indicates that the differential pressure parameter at time t is lower than the overall level of differential pressure parameters at all previous times. A larger degree of exceedance indicates a greater increase in the differential pressure parameter at time t compared to the overall level of differential pressure parameters at all previous times, suggesting a more likely abrupt increase in the differential pressure parameter at time t. This indicates a higher likelihood of micropore blockage at time t, and a stronger manifestation of blockage at time t; the two are positively correlated.

[0091] Step S24: Based on the sudden change in pressure difference parameter and the first degree of excess, the degree of blockage is determined.

[0092] Based on the abrupt change in the differential pressure parameter at time t and the first excess level at time t, the prominent congestion level at time t is obtained. Based on the above logical analysis, a specific calculation method for the prominent congestion level at time t is given below:

[0093] ;

[0094] in, This indicates the most prominent congestion level at time t. This represents the overall level of the differential pressure parameter at all times up to time t. This represents the normalization function, such as using a maximum / minimum value normalization method. Based on the calculation method that emphasizes the degree of congestion, the emphasis on congestion at time 1 and time 2 is no longer calculated; the calculation begins from the emphasis on congestion at time 3.

[0095] This allows us to obtain the prominent clogging level at various times. The prominent clogging level characterizes the cumulative increase in the differential pressure parameter at the corresponding time. The larger the value of the prominent clogging level, the greater the increase in the differential pressure parameter at that time, and the more prominent the value of the differential pressure parameter at that time. The prominent clogging level reflects the clogging status of the filter element.

[0096] Step S3: Based on the prominent manifestations of blockage and differential pressure parameters at each time point and before, obtain the backwash trigger index at each time point.

[0097] The degree of clogging at each moment is used to characterize the filter element's clogging status, thereby controlling the triggering of backwashing. When the degree of clogging is high, micropore clogging may have occurred, requiring backwashing to flush out solid particles from the micropores. Therefore, based on the degree of clogging and the differential pressure parameter at each moment, the backwashing trigger index is obtained. In an exemplary embodiment, such as... Figure 4 As shown, the following is a specific process for obtaining the backwash trigger indicator:

[0098] Step S31: Determine the second degree of congestion prominence at each time point relative to the overall level of congestion prominence at all previous time points.

[0099] Taking time t as an example, the overall level of congestion prominence at all times before time t is determined, that is, the overall level of congestion prominence at all times before time t-1. In an exemplary embodiment, the average value of congestion prominence at all times before time t-1 (i.e., the average value of congestion prominence from time 3 to time t-1) is calculated as the overall level of the differential pressure parameter at all times before time t.

[0100] The second degree of congestion prominence at time t is obtained relative to the overall level of congestion prominence at all previous times. In an exemplary embodiment, the difference between the congestion prominence at time t and the overall level of congestion prominence at all previous times is calculated, and then the difference is normalized using the sigmoid function. The result is used as the second degree of congestion prominence at time t, calculated as follows:

[0101] ;

[0102] in, This indicates the second excess degree at time t. The expression represents the overall level of congestion at all times up to time t, and sigmoid represents the sigmoid normalization function.

[0103] The higher the degree of the second excess at time t, the more prominent the blockage at time t is relative to the overall level of blockage at all previous times. This results in a higher backflushing trigger index at time t, making time t more likely to be a backflushing trigger point. The degree of the second excess at time t is positively correlated with the backflushing trigger index at time t.

[0104] Step S32: Obtain the weighting coefficients of the prominent blockage degree at each time point from the pressure difference parameters at each time point.

[0105] When the differential pressure parameter accumulates to a certain level or undergoes a sudden change, backwashing is required to clean the filter element. Since the differential pressure parameter tends to increase with filtration usage, a larger differential pressure parameter indicates a poorer filter element health, and further increases in the differential pressure parameter make it more sensitive to backwashing control. Therefore, a weighting coefficient representing the prominent clogging level at each time point is obtained from the differential pressure parameter at each time point. The larger the differential pressure parameter, the larger the weighting coefficient, and the weighting coefficient is positively correlated with the differential pressure parameter. In an exemplary embodiment, the differential pressure parameter at each time point is weighted and normalized to obtain the weighting coefficient representing the prominent clogging level at each time point. Specifically: for time t, the sum of the differential pressure parameters from time 3 to time t is calculated, and then the ratio of the differential pressure parameter at each time point from time 3 to time t to this sum is calculated. The result is used as the weighting coefficient for each time point from time 3 to time t.

[0106] Step S33: Calculate the weighted sum of the prominent congestion levels and weighting coefficients at each time point and all previous time points.

[0107] The weighted sum of the congestion severity at time t and all previous times is calculated using the following formula:

[0108] ;

[0109] in, This represents the weighted sum at time t. The weighting coefficient represents the prominent performance of congestion at time i, prior to time t. This indicates the most prominent congestion level at time i, prior to time t.

[0110] The larger the weighted sum at time t, the more severe the blockage accumulation at time t, the higher the backflushing trigger index at time t, and the more likely time t is to be the trigger time for backflushing. The weighted sum at time t is positively correlated with the backflushing trigger index at time t.

[0111] Step S34: Based on the second excess degree and weighted sum, obtain the backwash trigger index at each time point.

[0112] The backwash trigger index at time t is obtained by combining the second excess degree at time t with the weighted sum corresponding to time t. Based on the above logical analysis, the following is a specific calculation method for the backwash trigger index at time t: Calculate the second excess degree at time t. The weighted sum corresponding to time t The product of and is the backwash trigger index at time t.

[0113] Step S4: Determine the trigger time based on the backwash trigger indicators at each time point.

[0114] Step S3 obtains the backwash trigger index at each time point. The larger the value of the backwash trigger index, the greater the backwash demand at the corresponding time point, and the more likely it is to be the trigger time for backwashing. In an exemplary embodiment, this embodiment presets a trigger threshold. This preset trigger threshold is used to determine whether the backwash trigger index at each time point is large. The value range of the preset trigger threshold is 0-1, and the specific value is determined by the actual backwash demand. This embodiment takes 0.6 as an example.

[0115] The backwash trigger index at each time point is compared with the preset trigger threshold. Taking time t as an example, since obtaining the backwash trigger index at time t requires the participation of the differential pressure parameter at time t+1, if the backwash trigger index at time t is greater than the preset trigger threshold, then time t+2 is taken as the trigger time for backwashing, and the backwashing action is performed at time t+2. This allows for real-time acquisition of each trigger time.

[0116] Step S5: Output the backwash control command at the trigger moment. The backwash control command includes the backwash intensity requirement, which is obtained from the backwash trigger index, differential pressure parameter and degree of blockage at the trigger moment.

[0117] For any given trigger moment, a backwash control command is generated for that trigger moment. This command includes a backwash intensity requirement, which characterizes the required backwash intensity. The backwash intensity requirement for that trigger moment is derived from the backwash trigger index, differential pressure parameter, and degree of clogging at that moment. In an exemplary embodiment, such as... Figure 5 As shown, the following is one method for obtaining the backwash intensity requirement:

[0118] Step S51: Determine the index of the change and fluctuation of the prominent manifestation of congestion at the trigger time based on the change and fluctuation of the prominent manifestation of congestion at the trigger time and all previous times.

[0119] For any given trigger time, taking time t+2 as the trigger time for backflushing as an example, the fluctuation index of the prominent blockage performance at time t is determined by analyzing the fluctuations in the prominent blockage performance at time t and all previous times. This fluctuation index characterizes the degree of fluctuation in the prominent blockage performance. In an exemplary embodiment, the standard deviation of the prominent blockage performance at time t and all previous times is calculated as the fluctuation index of the prominent blockage performance at time t. The larger the fluctuation index of the prominent blockage performance at time t, the more unstable the changes in the prominent blockage performance at time t and all previous times. A larger backflushing intensity demand coefficient at time t+2 indicates a higher backflushing intensity demand. Therefore, the backflushing intensity demand coefficient is positively correlated with the fluctuation index of the prominent blockage performance, meaning the backflushing intensity demand is positively correlated with the fluctuation index of the prominent blockage performance.

[0120] Step S52: Based on the backwash trigger index, differential pressure parameter, and fluctuation index at the trigger time, obtain the backwash intensity requirement coefficient at the trigger time.

[0121] The higher the backwash trigger index at time t, the greater the backwash intensity demand coefficient at time t+2, and the higher the backwash intensity demand. Therefore, the backwash intensity demand coefficient is positively correlated with the backwash trigger index, meaning the backwash intensity demand is positively correlated with the backwash trigger index. Similarly, the higher the differential pressure parameter at time t, the greater the backwash intensity demand coefficient at time t+2, and the higher the backwash intensity demand. Therefore, the backwash intensity demand coefficient is positively correlated with the differential pressure parameter, meaning the backwash intensity demand is positively correlated with the differential pressure parameter.

[0122] Based on the above logical analysis, the following is a specific calculation method for the backwash intensity demand coefficient at time t+2: The pressure difference parameter at time t is normalized using the sigmoid function. Then, the average value of the backwash trigger index at time t, the change fluctuation index of the prominent blockage degree at time t, and the normalized pressure difference parameter at time t is calculated. Finally, the sum of 1 and this average value is calculated, and the result is the backwash intensity demand coefficient at time t+2. By averaging, the three parameters are combined to obtain the backwash intensity demand coefficient. The larger the backwash intensity demand coefficient, the stronger the backwash pressure required at the corresponding trigger time.

[0123] Step S53: Based on the backwash intensity requirement coefficient at the triggering time and the preset benchmark backwash intensity, obtain the backwash intensity requirement at the triggering time.

[0124] In this embodiment, a reference backwashing intensity is preset, and this reference backwashing intensity is the basic pressure for backwashing. This embodiment takes 0.2 MPa as an example for illustration. Specifically, the setting of the basic pressure needs to be determined according to the fluid properties and the filter element specifications, and only an example is given here.

[0125] Multiply the backwashing intensity demand coefficient at the (t + 2)-th moment by the preset reference backwashing intensity, and the obtained product is the backwashing intensity demand at the (t + 2)-th moment. In this way, the required pressure for backwashing at the (t + 2)-th moment is obtained, and a backwashing control instruction at the (t + 2)-th moment is generated and output to the backwashing equipment supporting the metal sintered filter element filtration and separation device, so as to backwash the filter element in the metal sintered filter element filtration and separation device at the (t + 2)-th moment according to the corresponding backwashing pressure.

[0126] In this embodiment, after the backwashing is completed, further optimization and adjustment can be made for the backwashing intensity demand at subsequent trigger moments. Then, as Figure 6 shown, the intelligent control method for the metal sintered filter element filtration and separation device provided in this embodiment further includes:

[0127] Step S6: Determine the backwashing failure evaluation result at the latest trigger moment after performing the backwashing operation according to the backwashing control instruction at the latest trigger moment.

[0128] Taking the latest backwashing operation in this embodiment as an example, that is, for the backwashing control instruction at the latest trigger moment, after performing the backwashing operation according to the backwashing control instruction at the latest trigger moment, obtain the backwashing failure evaluation result corresponding to the latest trigger moment.

[0129] During the process of starting the backwashing operation at the latest trigger moment, the process before the backwashing operation is the filtration process, and the process after that is also the filtration process. Therefore, obtain the filtration period before the latest trigger moment (the filtration period is the period corresponding to the filtration process), and the filtration process after that. Among them, the latest trigger moment is set as the m-th trigger moment, then the trigger moment before the m-th trigger moment is the (m - 1)-th trigger moment, and the trigger moment after the m-th trigger moment is the (m + 1)-th trigger moment. Then, the filtration period before the m-th trigger moment is the filtration period between the end of the backwashing operation corresponding to the (m - 1)-th trigger moment and the start of the backwashing operation corresponding to the m-th trigger moment, and the filtration period after the m-th trigger moment is the filtration period between the end of the backwashing operation corresponding to the m-th trigger moment and the start of the backwashing operation corresponding to the (m + 1)-th trigger moment. This step analyzes according to the filtration period before the m-th trigger moment and the filtration period after the m-th trigger moment when determining the (m + 1)-th trigger moment, so as to adjust the backwashing intensity demand corresponding to the (m + 1)-th trigger moment.

[0130] The last moment in the filtering process before the m-th trigger moment, i.e., the last moment in the previous filtering period, is defined as the first associated moment of the latest trigger moment (for example, if the latest trigger moment is the (t+2)-th moment, then the first associated moment is the (t+1)-th moment). The first moment in the filtering process after the m-th trigger moment is defined as the second associated moment of the latest trigger moment.

[0131] Typically, after backflushing, the blockage is significantly alleviated, resulting in a noticeable decrease in the differential pressure parameter before and after the backflushing operation. Specifically, the differential pressure parameter at the first associated time of the m-th triggering moment will be greater than that at the second associated time of the m-th triggering moment. The third degree of excess is obtained relative to the differential pressure parameter at the first associated time of the m-th triggering moment. In an exemplary embodiment, the ratio of the differential pressure parameter at the second associated time of the m-th triggering moment to the differential pressure parameter at the first associated time of the m-th triggering moment is calculated. This ratio is inversely correlated with the third degree of excess; the smaller the ratio, the greater the differential pressure parameter at the first associated time of the m-th triggering moment is compared to the differential pressure parameter at the second associated time of the m-th triggering moment, and the higher the third degree of excess. A smaller ratio indicates a higher third degree of excess, and the backflushing failure assessment result at the m-th triggering moment indicates more effective backflushing and a lower backflushing failure rate. Therefore, the backwash failure at the m-th trigger time is inversely correlated with the third degree of exceedance and positively correlated with this ratio. It should be understood that under normal circumstances, this ratio is greater than 0 and less than 1. In extreme cases, if this ratio is greater than 1, it indicates that the differential pressure parameter after the backwash operation is greater than the differential pressure parameter before the backwash operation, meaning that the blockage has not only not been alleviated but has become more severe, indicating a high level of backwash failure at the m-th trigger time.

[0132] Obtain the differential pressure parameter abrupt changes at each time point during the filtering process before the m-th trigger time, and calculate the average value of these changes as the overall level of differential pressure parameter abrupt changes during the filtering process before the m-th trigger time. Similarly, obtain the differential pressure parameter abrupt changes at each time point during the filtering process after the m-th trigger time, and calculate the average value of these changes as the overall level of differential pressure parameter abrupt changes during the filtering process after the m-th trigger time.

[0133] The fourth degree of exceedance is determined for the overall level of differential pressure parameter fluctuation in the filtration process after the m-th trigger time relative to the filtration process before the m-th trigger time. In an exemplary embodiment, the difference between the overall level of differential pressure parameter fluctuation in the filtration process after the m-th trigger time and the filtration process before the m-th trigger time is calculated as the fourth degree of exceedance. When the fourth degree of exceedance is positive, the overall level of differential pressure parameter fluctuation in the filtration process after the m-th trigger time is greater than the overall level of differential pressure parameter fluctuation in the filtration process before the m-th trigger time. This indicates that the clogging is more severe during the filtration process from the end of the backwash operation at the m-th trigger time to the arrival of the (m+1)-th trigger time, and the backwash failure performance at the m-th trigger time is stronger. Therefore, the fourth degree of exceedance for the overall level of differential pressure parameter fluctuation in the filtration process after the m-th trigger time relative to the filtration process before the m-th trigger time is positively correlated with the backwash failure performance at the m-th trigger time.

[0134] Based on the third and fourth exceedance levels mentioned above, the backwash failure behavior at the m-th trigger moment is obtained. Based on the above logical analysis, the following is a specific calculation method for the backwash failure behavior at the m-th trigger moment:

[0135] ;

[0136] in, This represents the backwash failure performance at the m-th trigger time. The backwash failure performance characterizes the backwash failure assessment result. This represents the pressure difference parameter at the second associated time when the m-th trigger time is reached. This represents the pressure difference parameter at the first associated time of the m-th triggering time. Represents the ReLU function. This represents the overall level of the pressure difference parameter change during the filtering process after the m-th trigger time. This represents the overall level of pressure difference parameter abrupt change in the filtering process before the m-th trigger time. This indicates the fourth degree of excess in the overall level of pressure difference parameter change performance of the filtering process after the m-th trigger time compared to the filtering process before the m-th trigger time.

[0137] So, The larger the value, the smaller the decrease in the differential pressure parameter before and after backwashing at the m-th trigger time, and the stronger the backwashing failure at the m-th trigger time. When the value is greater than 0, the backwashing failure at the m-th trigger time is stronger, and the backwashing intensity requirement at the (m+1)-th trigger time needs to be increased. Through the constraints of the ReLU function, this makes... The minimum value is 0.

[0138] Step S7: Based on the backwash failure assessment results of the latest triggering time, adjust the backwash intensity requirement for the next triggering time.

[0139] The stronger the backwash failure at the m-th trigger moment, the greater the need to increase the backwash intensity requirement at the (m+1)-th trigger moment.

[0140] First, based on the backwash failure performance at the m-th triggering time, the backwash intensity requirement increase factor at the (m+1)-th triggering time is obtained. The stronger the backwash failure performance, the larger the backwash intensity requirement increase factor; the two are positively correlated.

[0141] In an exemplary embodiment, a preset feedback lower limit threshold is used to compare the backwash failure performance at the m-th trigger time. If the value is greater than the feedback lower limit threshold, it indicates that the backwash failure performance at the m-th trigger time is strong, indicating poor backwashing effect, which will affect the next backwash and requires increasing the backwash intensity requirement at the (m+1)-th trigger time. The numerical range of the feedback lower limit threshold is 0-1, and the specific value is determined by actual judgment or experience. As an example, 0.2 is used. The greater the backwash failure performance at the m-th trigger time exceeds the feedback lower limit threshold, the greater the increase coefficient of the backwash intensity requirement at the (m+1)-th trigger time. The following is a calculation method for the increase coefficient of the backwash intensity requirement at the (m+1)-th trigger time:

[0142] ;

[0143] in, This represents the increase factor for the backwash intensity requirement at the (m+1)th trigger moment. This indicates the lower limit threshold for feedback.

[0144] The backwash intensity requirement at the (m+1)th trigger time is calculated by multiplying the backwash intensity requirement at the (m)th trigger time by the backwash intensity requirement at the (m)th trigger time. It should be understood that, to improve control reliability, this embodiment presets an upper limit for the backwash intensity requirement, which is the maximum pressure that the backwashing equipment can provide. If the backwash intensity requirement at the (m+1)th trigger time exceeds this upper limit, the output backwash intensity requirement is the upper limit, and an alarm signal is output to allow staff to be promptly aware of the situation and conduct troubleshooting.

[0145] According to the above process, this embodiment can update the backwash intensity requirement, i.e., backwash pressure, for each backwash in real time, thereby realizing intelligent backwash control of the metal sintered filter element filtration and separation device.

[0146] This embodiment also provides an intelligent control system for a metal sintered filter element filtration and separation device, including: a memory and a processor; the memory is connected to the processor, and the memory is used to store program instructions; the processor is used to implement the steps in the above-described intelligent control method embodiment for the metal sintered filter element filtration and separation device when the program instructions are executed.

[0147] In one exemplary embodiment, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in the above-described embodiment of the intelligent control method for the metal sintered filter element filtration and separation device.

[0148] 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.

[0149] 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. An intelligent control method for a metal sintered filter element filtration and separation device, characterized in that, include: Determine the differential pressure parameters of the metal sintered filter element filtration and separation device at various times; Based on the difference in pressure differential parameters between adjacent time points, the degree of clogging of the metal sintered filter element filtration and separation device at each time point is obtained. Based on the prominent manifestations of blockage and differential pressure parameters at each time point and before, the backwash trigger indexes at each time point are obtained; The triggering time is determined by the backwash triggering indicators at each time point; Output backwash control command at the trigger moment, the backwash control command includes backwash intensity requirement, the backwash intensity requirement is obtained from the backwash trigger index, differential pressure parameter and degree of blockage at the trigger moment; The method for obtaining the prominent manifestation of blockage is as follows: determining the increase in differential pressure parameter at each time point relative to its adjacent previous time point; obtaining the abrupt change in differential pressure parameter at each time point based on the differences in the increase in differential pressure parameter at each time point relative to its adjacent previous and subsequent time points; determining the first degree of exceedance of the differential pressure parameter at each time point relative to the overall level of differential pressure parameter at all previous time points; obtaining the prominent manifestation of blockage based on the abrupt change in differential pressure parameter and the first degree of exceedance; the prominent manifestation of blockage is positively correlated with both the abrupt change in differential pressure parameter and the first degree of exceedance.

2. The intelligent control method for a metal sintered filter element filtration and separation device as described in claim 1, characterized in that, The determination of the differential pressure parameters of the metal sintered filter element filtration and separation device at various times includes: Determine the actual temperature of the fluid in the metal sintered filter element filtration and separation device at each moment, as well as the detection pressure difference at each moment; Based on the relationship between the actual temperature and the preset reference temperature at each moment, the detected pressure difference at each moment is mapped to the preset reference temperature to obtain the pressure difference parameter at each moment.

3. The intelligent control method for a metal sintered filter element filtration and separation device as described in claim 1, characterized in that, The process of obtaining the abrupt change in the differential pressure parameter includes: The differences in the increase of the first differential pressure parameter and the differences in the increase of the second differential pressure parameter are determined at each time point; the difference in the increase of the first differential pressure parameter is the difference between the increase of the differential pressure parameter at each time point and the previous time point adjacent to it, and the difference in the increase of the second differential pressure parameter is the difference between the increase of the differential pressure parameter at each time point and the next time point adjacent to it. By integrating the differences in the increase of the first differential pressure parameter and the difference in the increase of the second differential pressure parameter at each time point, the abrupt change in the differential pressure parameter at each time point is obtained; The first excessive acquisition process includes: Calculate the ratio of the differential pressure parameter at each time point to the overall level of the differential pressure parameter at all previous time points, and use this ratio as the first excess level at each time point.

4. The intelligent control method for a metal sintered filter element filtration and separation device as described in claim 1, characterized in that, The process of obtaining the backwash trigger indicator includes: The degree of congestion at each moment is identified as the second highest level of congestion relative to the overall level of congestion at all previous moments. The weighting coefficients for the most prominent blockage at each time point are obtained from the differential pressure parameters at each time point; these weighting coefficients are positively correlated with the differential pressure parameters. Calculate the weighted sum of the prominent congestion levels and weighting coefficients at each time point and all previous time points; Based on the second excess degree and the weighted sum, the backwash trigger index at each time point is obtained; the backwash trigger index is positively correlated with both the second excess degree and the weighted sum.

5. The intelligent control method for a metal sintered filter element filtration and separation device as described in claim 1, characterized in that, The process of obtaining the backwash intensity requirement includes: The index of the change and fluctuation of the prominent manifestation of congestion at the trigger time is determined by the change and fluctuation of the prominent manifestation of congestion at the trigger time and all the time before it. Based on the backwash triggering index, differential pressure parameter, and fluctuation index at the triggering time, the backwash intensity demand coefficient at the triggering time is obtained; the backwash intensity demand coefficient is positively correlated with the backwash triggering index, differential pressure parameter, and fluctuation index. The backwash intensity requirement at the triggering time is obtained by comparing the backwash intensity requirement coefficient at the triggering time with the preset benchmark backwash intensity.

6. The intelligent control method for a metal sintered filter element filtration and separation device as described in claim 1, characterized in that, Following the backwash control command at the output trigger moment, the intelligent control method for the metal sintered filter element filtration and separation device further includes: Determine the backwash failure assessment result at the latest trigger time after the backwash operation is performed according to the backwash control command at the latest trigger time; The backwash intensity requirement for the next triggering time is adjusted based on the backwash failure assessment results at the latest triggering time.

7. The intelligent control method for a metal sintered filter element filtration and separation device as described in claim 6, characterized in that, The process of obtaining the backwash failure assessment result at the latest triggering moment includes: Determine the third degree of excess of the differential pressure parameter of the first associated time of the latest triggering time relative to the differential pressure parameter of the second associated time of the latest triggering time; the first associated time is the last time in the filtering process before the latest triggering time, and the second associated time is the first time in the filtering process after the latest triggering time; The fourth degree of excess in the overall level of differential pressure parameter abrupt change in the filtering process after the latest triggering time compared to the filtering process before the latest triggering time; The backwash failure performance at the latest triggering moment is obtained from the third and fourth exceedance levels; the backwash failure performance is inversely correlated with the third exceedance level and positively correlated with the fourth exceedance level; the backwash failure performance characterizes the backwash failure assessment result.

8. The intelligent control method for a metal sintered filter element filtration and separation device as described in claim 6, characterized in that, The adjustment of the backwash intensity requirement for the next triggering time based on the backwash failure assessment result at the latest triggering time includes: Based on the backwash failure performance at the latest triggering moment, the backwash intensity requirement increase factor for the next triggering moment is obtained; the backwash intensity requirement increase factor is positively correlated with the backwash failure performance. The backwash intensity requirement for the next triggering moment is obtained from the backwash intensity requirement increase factor for the next triggering moment and the backwash intensity requirement for the latest triggering moment.

9. An intelligent control system for a metal sintered filter element filtration and separation device, characterized in that it includes: Memory and processor; The memory is connected to the processor; The memory is used to store program instructions; The processor is used to implement the intelligent control method for the metal sintered filter element filtration and separation device according to any one of claims 1-8 when the program instructions are executed.

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