A filter membrane clogging early warning method for an electroplating liquid recovery device with a filtering mechanism

Abstract

The present invention relates to the technical field of electroplating liquid filtration and separation, and specifically to a filter membrane clogging warning method for an electroplating liquid recovery device with a filtering mechanism. The present invention adds a pressure sensor, a flowmeter and a filter membrane clogging monitoring system to the filtering mechanism of the electroplating liquid recovery device; then the electroplating liquid is added to the filtering mechanism at a variable speed; the pressure change parameters on the liquid inlet side of the filter membrane and the flow change parameters on the liquid outlet side of the filter membrane are analyzed and obtained at each moment in the monitoring period, so as to obtain the clogging warning coefficient of the monitoring period; and then the filter membrane clogging warning is performed in combination with the difference in pressure data on both sides of the filter membrane at each moment in the monitoring period. The present invention analyzes the mutual change relationship between the flow and pressure on both sides of the filter membrane of the filtering mechanism at each moment in the historical period of the current moment, and analyzes the possibility of filter membrane clogging in near real time, so as to facilitate timely treatment of filter membrane clogging and improve the recovery effect of electroplating waste liquid.

Description

Technical Field

[0001] The invention relates to the technical field of electroplating liquid filtration and separation, and in particular to a filter membrane clogging early warning method of an electroplating liquid recovery device with a filtration mechanism. Background Art

[0002] Electroplating is a surface treatment process based on the principle of electrolysis, which can protect, decorate or enhance the function of electroplated parts. During the electroplating process, the electrolyte may contain various impurities such as solid particles due to chemical precipitation or external environmental pollution, which will affect the subsequent electroplating effect. Directly discarding the electrolyte and replacing it with a new one not only wastes resources but also pollutes the environment. Therefore, it is very important to filter and recycle the electroplating waste liquid; the electroplating liquid recovery device can be used for filtering, purifying and recycling the electroplating waste liquid.

[0003] In the prior art, the electroplating liquid recovery device can intercept impurities based on mechanical filtration through physical barriers such as the filter membrane of the filtration mechanism in the device; however, the filter membrane may be clogged by impurities after long-term use, which leads to a decrease in filtration efficiency, so the filter membrane needs to be cleaned or replaced regularly; but regular cleaning or replacement may be limited by equipment maintenance experience, and the filter membrane blockage situation cannot be evaluated in real time, so that the electroplating liquid recovery device continues to recycle and purify the electroplating waste liquid when the filter membrane is clogged, resulting in poor recovery effect of the electroplating waste liquid and even affecting the life of the electroplating liquid recovery device. Summary of the invention

[0004] In order to solve the technical problem that the electroplating liquid recovery device in the prior art has a poor recovery effect on the electroplating liquid, the purpose of the present invention is to provide a filter membrane clogging early warning method of the electroplating liquid recovery device with a filtering mechanism, and the technical scheme adopted is as follows:

[0005] The present invention provides a filter membrane blockage early warning method for a plating liquid recovery device with a filtering mechanism. The filter membrane blockage early warning method is applied to a plating liquid recovery device with a filtering mechanism. The plating liquid recovery device includes a plating liquid recovery device body, the plating liquid recovery device body includes a filtering mechanism, the filtering mechanism also includes a pressure sensor installed on both sides of the filter membrane to be tested for collecting pressure data, a flow meter on the outlet side of the filter membrane to be tested for collecting flow data, and a filter membrane blockage monitoring system; the filter membrane blockage monitoring system is used to give a filter membrane blockage early warning according to the pressure data and the flow data. The filter membrane blockage early warning method includes:

[0006] The sampling frequency of the pressure data is consistent with that of the flow data, and the preset historical period at the current moment is used as the monitoring period; the electroplating liquid in the filtering mechanism is added at a variable speed;

[0007] On the liquid inlet side of the filter membrane to be tested, according to the fluctuation difference of the pressure data on both sides of the time series at each moment in the monitoring period, and the local change of the pressure data at the corresponding moment, the pressure change parameter at each moment in the monitoring period is obtained; according to the local change of the flow data at each moment in the monitoring period, the flow change parameter at each moment in the monitoring period is obtained;

[0008] The pressure change parameters and the flow change parameters at each moment in the monitored period are combined to obtain the blockage warning coefficient of the monitored period; according to the difference in the pressure data on both sides of the filter membrane to be tested at each moment in the monitored period, combined with the blockage warning coefficient, a filter membrane blockage warning is performed.

[0009] Furthermore, the method for obtaining the time period to be monitored includes:

[0010] In the historical time direction of the current moment, a target moment with a preset first duration interval from the current moment is obtained, the target moment is used as the end point of the period to be monitored, a time period with a preset second duration is obtained along the end point, and the time period is used as the period to be monitored.

[0011] Furthermore, the variable speed delivery method is that the delivery speed is consistent within the same delivery period, the delivery speed is inconsistent within adjacent delivery periods, and the duration of each delivery period is the same.

[0012] Furthermore, the method for obtaining the pressure variation parameter includes:

[0013] On the liquid inlet side of the filter membrane to be tested, a preset number of the pressure data are obtained on both sides of the time series at each moment in the monitoring period, and a pressure data sequence is constructed on both sides of the time series; the preset number is one half of the number of moments corresponding to the delivery period;

[0014] According to the difference of the concentrated features of the pressure data in the two pressure data sequences, obtaining the change confidence weight of the pressure data at the corresponding moment, wherein the difference of the concentrated features is positively correlated with the change confidence weight;

[0015] According to the change of the pressure data within the local time range at each moment in the monitoring period, the pressure change at the corresponding moment is obtained;

[0016] The pressure variation parameter at the corresponding moment is obtained according to the variation confidence weight and the pressure variation amount, and both the variation confidence weight and the pressure variation amount are positively correlated with the pressure variation parameter.

[0017] Furthermore, the method for obtaining the variable confidence weight includes:

[0018] The means of all the pressure data in the two pressure data sequences are respectively obtained, and the difference between the ratio of the two means and a constant 1 is used as the variable confidence weight.

[0019] Furthermore, the method for obtaining the pressure variation includes:

[0020] At each moment in the monitoring period, the difference between the pressure data corresponding to the previous moment and the pressure data corresponding to the next moment is taken as the pressure variation at the corresponding moment.

[0021] Furthermore, the method for obtaining the flow variation parameter includes:

[0022] According to the flow data at each moment in the monitored period, the flow difference between the flow data at adjacent moments relative to each moment is used to obtain the flow change parameter at the corresponding moment; the flow difference is positively correlated with the flow change parameter.

[0023] Furthermore, the method for obtaining the congestion warning coefficient includes:

[0024] The pressure variation parameter and the flow variation parameter are both normalized; the difference between the normalized pressure variation parameter and the normalized flow variation parameter is used as the filter membrane blockage parameter at the corresponding time in the monitoring period;

[0025] The filter membrane blockage parameters at all times in the monitoring period are averaged and normalized, and the normalized result is used as the blockage warning coefficient in the monitoring period.

[0026] Furthermore, the method for providing filter membrane clogging warning according to the difference in the pressure data on both sides of the filter membrane to be tested during the monitoring period and in combination with the clogging warning coefficient includes:

[0027] Determine whether the filter membrane to be tested has a risk of clogging according to the clogging warning coefficient within the monitoring period;

[0028] If there is a risk of blockage, the differences between all the pressure data on both sides of the filter membrane to be tested at each moment during the monitoring period are accumulated, the normalized result of the sum is used as the degree of filter membrane blockage, and a real-time warning is issued.

[0029] Furthermore, the method for judging whether there is a risk of clogging of the filter membrane to be tested according to the clogging warning coefficient in the monitoring period includes:

[0030] If the blockage warning coefficient within the monitoring period is greater than the preset threshold, it is determined that the filter membrane is at risk of blockage; if the blockage warning coefficient within the monitoring period is less than or equal to the preset threshold, it is determined that the filter membrane is not at risk of blockage.

[0031] The present invention has the following beneficial effects:

[0032] The present invention adds a pressure sensor, a flow meter and a filter membrane blockage monitoring system to the filter mechanism of the electroplating liquid recovery device; and then uses the preset historical period of the current moment as the monitoring period to perform near real-time monitoring and analysis of the blockage situation; wherein the electroplating liquid in the filter mechanism is delivered at a variable speed; on the liquid inlet side of the filter membrane to be tested, according to the fluctuation difference of the pressure data on both sides of the time series at each moment in the monitoring period, and the local change of the pressure data at the corresponding moment, the pressure change parameter at each moment in the monitoring period is obtained; according to the local change of the flow data at each moment in the monitoring period, the flow change parameter at each moment in the monitoring period is obtained; the blockage warning coefficient of the monitoring period is obtained by combining the pressure change parameter and the flow change parameter at each moment in the monitoring period; according to the difference of the pressure data on both sides of the filter membrane to be tested at each moment in the monitoring period, combined with the blockage warning coefficient, the filter membrane blockage warning is performed. The present invention analyzes the mutual change relationship between the flow and pressure on both sides of the filter membrane of the filter mechanism at each moment in the historical period of the current moment, and analyzes the possibility of filter membrane blockage in near real time, thereby facilitating timely treatment of filter membrane blockage and improving the recovery effect of electroplating waste liquid. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 A schematic structural diagram of a filtering mechanism in a plating liquid recovery device with a filtering mechanism provided by one embodiment of the present invention;

[0035] Figure 2 A flow chart of a filter membrane clogging early warning method provided by one embodiment of the present invention;

[0036] Figure 3 A flowchart of a method for obtaining pressure variation parameters provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0037] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the filter membrane clogging warning method of a plating liquid recovery device with a filtering mechanism proposed by the present invention, its specific implementation method, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0038] Unless defined otherwise, 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 belongs.

[0039] The specific scheme of the filter membrane clogging early warning method of the electroplating liquid recovery device with a filtering mechanism provided by the present invention is described in detail below with reference to the accompanying drawings.

[0040] See also Figure 1 , which shows a schematic structural diagram of a filtering mechanism in a plating liquid recovery device with a filtering mechanism provided by an embodiment of the present invention; a pressure sensor 101, a flow meter 102 and a filter membrane clogging monitoring system 103 are added to the filtering mechanism of the original plating liquid recovery device body; the pressure sensor is installed on the liquid inlet side and the liquid outlet side of the filter membrane respectively to collect the impact force data of the plating liquid before it flows into the filter membrane and after it flows out of the filter membrane, that is, the pressure data in real time; the flow meter is installed in the pipeline on the liquid outlet side of the filter membrane to collect the flow data of the plating liquid when it flows out of the filter membrane in real time; the filter membrane clogging monitoring system is used to receive the data collected by the pressure sensor and the flow meter, and then issue a filter membrane clogging warning of the filtering mechanism according to the pressure data and the flow data.

[0041] It should be noted that the electroplating liquid recovery device is already a prior art, and its basic structure and working process are not described in detail here; in one embodiment of the present invention, a Rosemount 8750W electromagnetic flowmeter is selected, which is suitable for high-precision measurement of flow data of conductive plating solution; the pressure sensor selects the Rosemount 3051S series to collect pressure data on both sides of the filter membrane; the main body of the filter membrane clogging monitoring system selects Siemens S7-1200 PLC, and the electromagnetic flowmeter and pressure sensor are connected to the PLC to analyze the flow and pressure data in real time to evaluate the risk of filter membrane clogging in near real time; in other embodiments, the PLC can also be additionally equipped with an early warning execution device such as a buzzer warning light to issue a blockage warning to prompt relevant equipment management personnel to handle it; implementers can also set other types of sensors and control systems according to actual needs, which are not limited here.

[0042] It should be noted that, in one embodiment of the present invention, the sampling frequencies of pressure data and flow data are consistent, both set to 1s / time, and implementers can also set them according to actual needs; at the same time, the preset historical time period at the current moment is used as the monitored time period, so that subsequent near real-time monitoring and early warning can be carried out in combination with the continuous changes in pressure data and flow data.

[0043] Preferably, in one embodiment of the present invention, since the analysis of the filter blockage situation at the current moment needs to be combined with the changes in the pressure data and the flow data, in order to improve the accuracy of the analysis, it is also necessary to combine the analysis of the data changes on both sides of the time series at each moment for a period of time, so the real-time performance is abandoned to a certain extent, and the historical period that is relatively close to the current moment is selected as the monitoring period, and the continuous changes in the data are analyzed to evaluate the filter blockage situation in near real time;

[0044] Therefore, in the historical time sequence direction of the current moment, a target moment with a preset first duration interval from the current moment is obtained, the target moment is used as the end point of the period to be monitored, and a time period with a preset second duration is obtained along the end point, and the obtained time period is used as the period to be monitored. Among them, the preset first duration is 5s, and the preset second duration is 10s. The implementer can also set it by himself. The preset first duration should not be set too long, otherwise the real-time monitoring performance will be reduced.

[0045] To facilitate understanding of the monitored time period, as an example, assuming that the current time is 10:30:25, the monitored time period is a 10s period between 10:30:10 and 10:30:20; it should be noted that, in order to ensure the possibility of data analysis, the electroplating liquid recovery device will not start filter membrane blockage monitoring until it has been running for at least 1 minute, to ensure the diversity of data used for change analysis, and also to ensure analysis accuracy under the premise of stable operation of the electroplating liquid recovery device.

[0046] Considering that under normal circumstances, the faster the plating liquid is added, the higher the amount of plating liquid accumulated on the liquid inlet side of the filter membrane, the greater the pressure on the filter membrane, and the greater the flow rate on the liquid outlet side, the pressure on the liquid inlet side of the filter membrane and the flow rate on the liquid outlet side of the filter membrane are approximately positively correlated; but when the filter membrane is blocked, the pressure on the liquid inlet side of the filter membrane is greater, but the flow rate on the liquid outlet side remains unchanged and becomes smaller; therefore, the blockage of the filter membrane can be evaluated with the help of the positive correlation between pressure and flow; and considering that the pressure data and flow data collected at different addition speeds are not consistent, the method of variable speed addition can more accurately analyze and evaluate the correlation between pressure and flow; therefore, the embodiment of the present invention adds plating liquid to the filter mechanism at a variable speed.

[0047] Preferably, in one embodiment of the present invention, the variable speed delivery method is that the delivery speed is consistent within the same delivery period, the delivery speed is inconsistent within adjacent delivery periods, and the duration of each delivery period is the same.

[0048] Specifically, the duration of the delivery period is set to 10s; for example, starting from the filter membrane blockage monitoring, the delivery period of the plating solution in the first 10s is set to Aml / s, the delivery period of the plating solution in the second 10s is set to Bml / s, the delivery period of the plating solution in the third 10s is set to Cml / s, and so on, wherein the values ​​of A and B are different, the values ​​of B and C are different, but the values ​​of A and C can be the same, so as to facilitate the subsequent analysis of the changes in pressure data at each moment in the monitored period; under the same delivery speed, the accumulation rate of the plating solution on the liquid inlet side of the filter membrane during the delivery period is the same, and the pressure on the liquid inlet side of the filter membrane is also approximately the same, that is, it fluctuates slightly up and down at a certain pressure level; but the pressure data collected at different delivery speeds may be quite different.

[0049] It should be noted that the filter membrane also has a filtration limit, that is, under non-clogging conditions, the filter membrane flow reaches saturation. As the amount of plating solution added increases, the pressure on the liquid inlet side of the filter membrane increases, but the flow data on the liquid outlet side remains unchanged, which will interfere with the filter membrane blockage analysis. Therefore, the implementer needs to determine the plating solution addition rate based on the properties of the filter membrane. The maximum addition rate should not cause the filter membrane flow to reach saturation.

[0050] At this point, the filter membrane blockage situation can be analyzed and warned.

[0051] See also Figure 2 , which shows a flow chart of a filter membrane clogging early warning method provided by an embodiment of the present invention, specifically comprising:

[0052] Step S1, on the liquid inlet side of the filter membrane to be tested, obtain the pressure change parameters at each moment in the time period to be monitored according to the fluctuation difference of the pressure data on both sides of the time series at each moment in the time period to be monitored, and the local change of the pressure data at the corresponding moment; obtain the flow change parameters at each moment in the time period to be monitored according to the local change of the flow data at each moment in the time period to be monitored.

[0053] Since the variable speed delivery method will cause the pressure data in the same delivery period to be roughly similar, while the pressure data in different delivery periods will have large differences; on the liquid inlet side of the filter membrane to be tested, as the delivery speed changes, the fluctuation of the pressure data on both sides of the time series of the pressure data at each moment in the monitoring period will change; considering the local changes in the pressure data at each moment, it reflects the short-term fluctuation of the pressure data on the liquid inlet side of the filter membrane, which may be caused by the change in delivery speed in different delivery periods, or it may be the normal fluctuation of the pressure data in the same delivery period; therefore, the embodiment of the present invention combines the fluctuation difference of the pressure data on both sides of the time series at each moment, and combines the local changes of the pressure data at each moment, to obtain the pressure change parameter. The pressure change parameter reflects the change of the pressure data at each moment in the monitoring period. The larger the pressure change parameter, the greater the pressure change at the corresponding moment.

[0054] Preferably, in one embodiment of the present invention, the method for obtaining the pressure variation parameter includes:

[0055] See also Figure 3 , which shows a flow chart of a method for obtaining pressure variation parameters provided by an embodiment of the present invention, specifically comprising:

[0056] Step S301, on the liquid inlet side of the filter membrane to be tested, a preset number of pressure data are obtained on both sides of the time series at each moment in the monitoring period, and a pressure data sequence is constructed on both sides of the time series; the preset number is half of the number of corresponding moments in the delivery period.

[0057] As an example, a pressure data sequence is constructed on both sides of the time series of each moment in the monitored period, where the preset number is set to half of the number of moments corresponding to the delivery period. Since the corresponding duration of the delivery period is 10, the preset number is 5; in preparation for the subsequent analysis of pressure change parameters.

[0058] It should be noted that the pressure data corresponding to the pressure data sequence at each moment may not correspond to a time point within the monitoring period, which is a normal situation.

[0059] Step S302, according to the difference of the concentrated features of the pressure data in the two pressure data sequences, the change confidence weight of the pressure data at the corresponding moment is obtained, and the difference of the concentrated features is positively correlated with the change confidence weight.

[0060] Taking into account the possible noise interference in the process of collecting pressure data, resulting in low accuracy in analyzing local changes in pressure data; and considering that the corresponding pressure data may have slight fluctuations in the same delivery period, the pressure data collected in the middle of the delivery period is less likely to have large fluctuations, but the pressure data at the beginning and end of the delivery period may be at the critical change of the delivery speed, and the possibility of large pressure changes is greater; therefore, it is first necessary to obtain the change confidence weight of the pressure data at each moment.

[0061] For ease of understanding, assume that a moment in the monitored period is t, and the delivery period in which t is located is taken as the target period, then the two pressure data sequences are a: {P(t-5), P(t-4), P(t-3), P(t-2), P(t-1)} and b: {P(t+1), P(t+2), P(t+3), P(t+4), P(t+5)}; if t deviates from the middle of the target period, the pressure data near the beginning of the a sequence or the pressure data near the end of the b sequence are the pressure data collected at the delivery speed corresponding to other delivery periods. The greater the degree of deviation of t from the middle of the target period, that is, the closer to the boundary of the delivery period, the more pressure data near the beginning of the a sequence or the pressure data near the end of the b sequence are collected at the delivery speed corresponding to other delivery periods, which leads to greater differences in the concentrated features of the pressure data in the two sequences; the greater the difference in the concentrated features, the greater the possibility of fluctuation of the pressure data at time t, and the greater the corresponding change confidence weight.

[0062] In a preferred embodiment of the present invention, the method for obtaining the variable confidence weight includes:

[0063] The means of all pressure data in the two pressure data sequences are obtained respectively, and the difference between the ratio of the two means and the constant 1 is used as the change confidence weight.

[0064] As an example, the formula for calculating the variable confidence weight is: ;in, The first The confidence weight of the change of pressure data at each moment; The first The moment The mean of all pressure data in a pressure data sequence; The first The moment The mean of all pressure data in a pressure data sequence; is the absolute value symbol.

[0065] It should be noted that the greater the difference in the mean values ​​of all pressure data in two pressure data sequences, the more the ratio deviates from 1, and the greater the corresponding change confidence weight; implementers can also adjust the positions of the numerator and denominator by themselves. Under normal circumstances, the possibility of the mean being 0 is extremely low, so no matter which pressure data sequence the denominator is the mean of the pressure data, it will not cause the fraction to be meaningless.

[0066] In another embodiment of the present invention, the implementer may also normalize the absolute value of the difference between the means of all pressure data in the two pressure data sequences, and use the normalized result as the variable confidence weight. Specifically, a linear normalization method may be used, and other methods may also be used, which will not be described in detail here. Other statistical features such as the median and the range may also be used instead of the mean.

[0067] Step S303, according to the change of the pressure data in the local time period at each moment in the time period to be monitored, the pressure change amount at the corresponding moment is obtained.

[0068] In a preferred embodiment of the present invention, considering analyzing the difference between the pressure data corresponding to each moment and the pressure data corresponding to the previous and next adjacent moments, the fluctuation change of the pressure data at each moment can be evaluated; the method for obtaining the pressure change includes:

[0069] At each moment in the monitoring period, the difference between the corresponding pressure data at the previous moment and the corresponding pressure data at the next moment is taken as the pressure variation at the corresponding moment.

[0070] It should be noted that the pressure change may be negative or 0 due to the impact of the delivery speed, which is normal.

[0071] Step S304, obtaining the pressure change parameter at the corresponding moment according to the change confidence weight and the pressure change amount, wherein the change confidence weight and the pressure change amount are both positively correlated with the pressure change parameter.

[0072] As an example, the change confidence weight is multiplied and combined with the pressure change amount to obtain a pressure change parameter; wherein the pressure change parameter may be a positive number, a negative number or zero.

[0073] Considering that the flow rate at the outlet side of the filter membrane to be tested usually changes in positive correlation with the pressure, the embodiment of the present invention further obtains the flow rate variation parameters at each moment in the monitoring period according to the local changes of the flow rate data at each moment in the monitoring period.

[0074] Preferably, in one embodiment of the present invention, since the flow data is directly affected by the pressure data and indirectly affected by the delivery speed, the flow variation parameter can be directly analyzed according to the local variation of the flow data; consistent with the idea of ​​obtaining the pressure variation, the method for obtaining the flow variation parameter includes:

[0075] According to the flow difference between the flow data at each moment in the monitoring period and the flow data at the adjacent moments, the flow change parameter at the corresponding moment is obtained; the flow difference is positively correlated with the flow change parameter.

[0076] As an example, first, at each moment in the monitoring period, the difference between the flow data corresponding to the previous moment and the flow data corresponding to the next moment is used as the flow change parameter at the corresponding moment.

[0077] It should be noted that the flow rate change may also be positive, negative or zero, which are all normal situations.

[0078] Step S2, comprehensively analyzing the pressure change parameters and flow change parameters at each moment in the monitoring period to obtain the blockage warning coefficient of the monitoring period; and performing filter membrane blockage warning based on all pressure difference data in the monitoring period and the blockage warning coefficient.

[0079] After obtaining the pressure change parameters and flow change parameters, the blockage warning coefficient can be further comprehensively obtained.

[0080] Preferably, in one embodiment of the present invention, considering that when the plating solution flows through the filter membrane, without considering the filtration limit of the filter membrane, the change relationship between the pressure data on the liquid inlet side of the filter membrane and the flow data on the liquid outlet side of the filter membrane should be positively correlated; however, the specific numerical relationship cannot be determined, and after normalizing the two, it can be approximately considered that the relationship between the two is 1:1. The more it deviates from this proportional relationship, the greater the possibility of clogging of the filter membrane; therefore, the method for obtaining the clogging warning coefficient includes:

[0081] Both the pressure change parameter and the flow change parameter need to be normalized; the difference between the normalized pressure change parameter and the normalized flow change parameter is used as the filter membrane blockage parameter at the corresponding time in the monitoring period;

[0082] The filter membrane blockage parameters at all times in the monitoring period are averaged and normalized, and the normalized result is used as the blockage warning coefficient in the monitoring period.

[0083] As an example, the calculation formula of the congestion warning coefficient is: ;in, is the congestion warning coefficient of the monitoring period; is the time sequence number within the monitoring period; is the total number of moments in the monitoring period, that is, the duration of the monitoring period, that is, the preset second duration, which is 10 in this example; and All are standard normalization functions; The first Pressure variation parameters at each moment; The first Flow rate variation parameters at each moment; is the absolute value symbol; The first The filter membrane clogging parameters at each moment.

[0084] It should be noted that when using linear normalization, implementers also use other normalization methods, which will not be elaborated here.

[0085] In another embodiment of the present invention, the method for obtaining the congestion warning coefficient can also be: taking the pressure change parameters at all times within the monitored time as sequence elements to construct a pressure change parameter sequence; similarly constructing a flow change parameter sequence, wherein the pressure change parameter sequence and the sequence elements with the same sequence number in the flow change parameter sequence have the same corresponding time; then obtaining the Pearson correlation coefficient of the two change parameter sequences, the closer the Pearson correlation coefficient is to 1, the more the two sequences correspond to a positively correlated change relationship, and the smaller the possibility of congestion; on the contrary, the more the Pearson correlation coefficient deviates from 1, the more the two sequences do not have a positively correlated change relationship, and the greater the possibility of congestion; therefore, the Pearson correlation coefficient is used as an exponential function with the natural constant e as the base. In , negative correlation mapping normalization is performed to obtain the filter membrane blockage parameter; in other examples, other correlation measurement methods and negative correlation mapping methods may also be used, which are all well-known technologies and will not be described in detail here.

[0086] Furthermore, the filter membrane clogging warning can be carried out based on all the pressure difference data in the monitoring period and the clogging warning coefficient.

[0087] Preferably, in one embodiment of the present invention, according to the difference in pressure data on both sides of the filter membrane to be tested during the monitoring period, combined with the clogging warning coefficient, the method for providing filter membrane clogging warning comprises:

[0088] Determine whether the filter membrane to be tested has a risk of clogging based on the clogging warning coefficient within the monitoring period;

[0089] If there is a risk of blockage, the differences between all pressure data on both sides of the filter membrane to be tested at each moment during the monitoring period are accumulated, the normalized result of the sum is used as the degree of filter membrane blockage, and a real-time warning is issued.

[0090] Among them, if the blockage warning coefficient during the monitoring period is greater than the preset threshold, it is determined that the filter membrane is at risk of blockage; if the blockage warning coefficient during the monitoring period is less than or equal to the preset threshold, it is determined that the filter membrane is not at risk of blockage.

[0091] As an example, the preset threshold is set to 0.7; if there is a risk of blockage, first, at the same collection time, the difference between the pressure data on the liquid inlet side of the filter membrane and the pressure data on the liquid outlet side of the filter membrane is subtracted to obtain the pressure difference data on both sides of the membrane; all pressure difference data in the monitoring period are accumulated, and the sum is linearly normalized to obtain the degree of filter membrane blockage, and the filter membrane blockage monitoring system will automatically issue an alarm.

[0092] In one embodiment of the present invention, the implementer may further clean or replace the filter membrane according to the degree of blockage of the filter membrane. When the blockage degree of the filter membrane is greater than 0.65, it is replaced, and when it is less than or equal to 0.65, it can be cleaned.

[0093] In summary, the embodiment of the present invention adds a pressure sensor, a flow meter and a filter membrane blockage monitoring system to the filter mechanism of the electroplating liquid recovery device; and then uses the preset historical period of the current moment as the monitoring period to monitor and analyze the blockage situation in near real time; adds electroplating liquid to the filter mechanism at a variable speed; analyzes and obtains the pressure change parameters on the liquid inlet side of the filter membrane and the flow change parameters on the liquid outlet side of the filter membrane at each moment in the monitoring period, thereby obtaining the blockage warning coefficient of the monitoring period; and then performs a filter membrane blockage warning based on the difference in pressure data on both sides of the filter membrane to be tested at each moment in the monitoring period. The present invention analyzes the mutual change relationship between the flow and pressure on both sides of the filter membrane of the filter mechanism at each moment in the historical period of the current moment, and analyzes the possibility of filter membrane blockage in near real time, thereby facilitating timely processing of filter membrane blockage and improving the recovery effect of electroplating waste liquid.

[0094] It should be noted that the sequence of the above embodiments of the present invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0095] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A filter membrane clogging early warning method for a plating liquid recovery device with a filtering mechanism, the filter membrane clogging early warning method is applied to a plating liquid recovery device with a filtering mechanism, the plating liquid recovery device comprises a plating liquid recovery device body, the plating liquid recovery device body comprises a filtering mechanism, the filtering mechanism also comprises a pressure sensor installed on both sides of the filter membrane to be tested for collecting pressure data, a flow meter on the outlet side of the filter membrane to be tested for collecting flow data, and a filter membrane clogging monitoring system; the filter membrane clogging monitoring system is used to give a filter membrane clogging early warning according to the pressure data and the flow data, and is characterized in that: The filter membrane clogging early warning method comprises: The sampling frequency of the pressure data is consistent with that of the flow data, and the preset historical period at the current moment is used as the monitoring period; the electroplating liquid in the filtering mechanism is added at a variable speed; On the liquid inlet side of the filter membrane to be tested, according to the fluctuation difference of the pressure data on both sides of the time series at each moment in the monitoring period, and the local change of the pressure data at the corresponding moment, the pressure change parameter at each moment in the monitoring period is obtained; according to the local change of the flow data at each moment in the monitoring period, the flow change parameter at each moment in the monitoring period is obtained; The pressure change parameters and the flow change parameters at each moment in the monitored period are combined to obtain the blockage warning coefficient of the monitored period; according to the difference in the pressure data on both sides of the filter membrane to be tested at each moment in the monitored period, combined with the blockage warning coefficient, a filter membrane blockage warning is performed.

2. The filter membrane clogging early warning method of the electroplating liquid recovery device with a filtering mechanism according to claim 1 is characterized in that: The method for obtaining the time period to be monitored includes: In the historical time direction of the current moment, a target moment with a preset first duration interval from the current moment is obtained, the target moment is used as the end point of the period to be monitored, a time period with a preset second duration is obtained along the end point, and the time period is used as the period to be monitored.

3. The filter membrane clogging early warning method of the electroplating liquid recovery device with a filtering mechanism according to claim 1 is characterized in that: The variable speed delivery method is that the delivery speed is consistent within the same delivery period, the delivery speed is inconsistent within adjacent delivery periods, and the duration of each delivery period is the same.

4. The filter membrane clogging early warning method of the electroplating liquid recovery device with a filtering mechanism according to claim 3 is characterized in that: The method for obtaining the pressure variation parameter includes: On the liquid inlet side of the filter membrane to be tested, a preset number of the pressure data are obtained on both sides of the time series at each moment in the monitoring period, and a pressure data sequence is constructed on both sides of the time series; the preset number is one half of the number of moments corresponding to the delivery period; According to the difference of the concentrated features of the pressure data in the two pressure data sequences, obtaining the change confidence weight of the pressure data at the corresponding moment, wherein the difference of the concentrated features is positively correlated with the change confidence weight; According to the change of the pressure data within the local time range at each moment in the monitoring period, the pressure change at the corresponding moment is obtained; The pressure variation parameter at the corresponding moment is obtained according to the variation confidence weight and the pressure variation amount, and both the variation confidence weight and the pressure variation amount are positively correlated with the pressure variation parameter.

5. The filter membrane clogging early warning method of the electroplating liquid recovery device with a filtering mechanism according to claim 4 is characterized in that: The method for obtaining the variable confidence weight includes: The means of all the pressure data in the two pressure data sequences are respectively obtained, and the difference between the ratio of the two means and a constant 1 is used as the variable confidence weight.

6. The filter membrane clogging early warning method of the electroplating liquid recovery device with a filtering mechanism according to claim 4 is characterized in that: The method for obtaining the pressure variation comprises: At each moment in the monitoring period, the difference between the pressure data corresponding to the previous moment and the pressure data corresponding to the next moment is taken as the pressure variation at the corresponding moment.

7. The filter membrane clogging early warning method of the electroplating liquid recovery device with a filtering mechanism according to claim 1 is characterized in that: The method for obtaining the flow variation parameter includes: According to the flow data at each moment in the monitored period, the flow difference between the flow data at adjacent moments relative to each moment is used to obtain the flow change parameter at the corresponding moment; the flow difference is positively correlated with the flow change parameter.

8. The filter membrane clogging early warning method of the electroplating liquid recovery device with a filtering mechanism according to claim 1 is characterized in that: The method for obtaining the congestion warning coefficient includes: The pressure variation parameter and the flow variation parameter are both normalized; the difference between the normalized pressure variation parameter and the normalized flow variation parameter is used as the filter membrane blockage parameter at the corresponding time in the monitoring period; The filter membrane blockage parameters at all times in the monitoring period are averaged and normalized, and the normalized result is used as the blockage warning coefficient in the monitoring period.

9. The filter membrane clogging early warning method of the electroplating liquid recovery device with a filtering mechanism according to claim 1 is characterized in that: The method for providing filter membrane clogging warning according to the difference in pressure data on both sides of the filter membrane to be tested during the monitoring period and in combination with the clogging warning coefficient includes: Determine whether the filter membrane to be tested has a risk of clogging according to the clogging warning coefficient within the monitoring period; If there is a risk of blockage, the differences between all the pressure data on both sides of the filter membrane to be tested at each moment during the monitoring period are accumulated, the normalized result of the sum is used as the degree of filter membrane blockage, and a real-time warning is issued.

10. The filter membrane clogging early warning method of the electroplating liquid recovery device with a filtering mechanism according to claim 9, characterized in that: The method for judging whether there is a risk of clogging of the filter membrane to be tested according to the clogging warning coefficient in the monitoring period includes: If the blockage warning coefficient within the monitoring period is greater than the preset threshold, it is determined that the filter membrane is at risk of blockage; if the blockage warning coefficient within the monitoring period is less than or equal to the preset threshold, it is determined that the filter membrane is not at risk of blockage.

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