Method and system for controlling water circulation in PCB production process

Abstract

The present application relates to the technical field of PCB, and particularly discloses a control method and a control system for water circulation in the production process of PCB. The present application realizes accurate identification of wastewater types and quantitative evaluation of pollution degree by obtaining the water quality pollution characteristics and hydraulic characteristic parameters of wastewater of each process section of PCB, determines the main pollutants and their concentrations according to the water quality characteristics, obtains the flow parameters and compensation flow according to the hydraulic characteristics, dynamically calculates the dilution ratio of high-purity water in combination with the two, avoids the waste of low-concentration wastewater caused by traditional fixed-proportion dilution, realizes "on-demand dilution" to reduce the consumption of high-purity water, obtains the membrane flux attenuation rate through the dilution ratio, and accordingly controls the water circulation of each process section in stages, solves the problem of high cost caused by excessive dilution and unified treatment, guarantees normal treatment of wastewater, improves the efficiency and reduces the cost.

Description

Technical Field

[0001] This invention relates to the field of PCB technology, and in particular to a method and system for controlling water circulation in the PCB manufacturing process. Background Technology

[0002] The PCB manufacturing process generates a large amount of wastewater, and wastewater treatment is an important part of environmental protection and resource recycling. With increasingly stringent environmental standards and rising water resource costs, the industry urgently needs to achieve efficient and low-cost wastewater treatment through technological innovation.

[0003] In PCB manufacturing, key processes such as pattern transfer and surface metallization (e.g., etching, electroplating, development) require large amounts of chemicals and water, generating complex mixed wastewater. This mixed wastewater has different dominant pollutants in different treatment areas. The existing approach is to treat the wastewater using a high-purity water "over-dilution and unified treatment" model. This results in excessive consumption of high-purity water after water recycling, leading to huge water recycling costs. Therefore, a water recycling control method is needed in the PCB manufacturing process to solve these problems. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for controlling water circulation in the PCB manufacturing process, so as to solve the technical problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A method for controlling water circulation in a PCB manufacturing process includes: The wastewater parameters generated in each process stage of PCB production are obtained, wherein the wastewater parameters include water quality pollution characteristic parameters and hydraulic characteristic parameters; Based on the water pollution characteristic parameters of each process section, wastewater type identification and pollution parameter association information are obtained. Based on the wastewater type identification and pollution parameter association information, water quality impact information of each process section is obtained. The water quality impact information includes information on major pollutants and the corresponding concentrations of major pollutants. The flow characteristic parameters and equivalent hydraulic residence time are obtained based on the hydraulic characteristic parameters of each process section, and the compensation flow rate of each process section is obtained based on the flow characteristic parameters and the equivalent hydraulic residence time. The high-purity water dilution ratio for each process section is obtained based on the concentration of the main pollutants and the compensation flow rate. The membrane flux decay rate of each process section is obtained based on the high-purity water dilution ratio. The water circulation is graded and controlled according to the membrane flux decay rate of each process segment.

[0006] Preferably, the step of obtaining wastewater type identification and pollution parameter association information based on the water quality pollution characteristic parameters of each process section includes: Based on the water pollution characteristic parameters of each process section, obtain multiple time points and corresponding pollution types continuously collected within a preset collection period, and construct a pollutant correlation matrix based on each time point and corresponding pollution type. Obtain the area of ​​the purification tank corresponding to each process section, and obtain multiple current pH value distribution maps corresponding to the areas of the multiple purification tanks based on pH testing; Based on the multiple current pH value distribution maps, extract the high-percentage pH value regions of each process segment, and obtain the corresponding multiple wastewater type identifiers based on the high-percentage pH value regions of each process segment. The concentration corresponding to each wastewater type identifier is obtained based on the multiple wastewater type identifiers; The concentrations of the identified pollutants are compared sequentially with preset concentration thresholds to obtain multiple pollutant concentration deviation values. Obtain the average concentrations of multiple pollutants corresponding to the multiple labeled concentrations within a preset time period; Multiple pollutant characteristic difference rates are obtained based on multiple pollutant concentration deviation values ​​and multiple pollutant concentration average values. The multiple pollutant characteristic difference rates and multiple pollutant concentration deviations are then weighted and calculated sequentially to obtain multiple comprehensive wastewater pollution indices. Multiple wastewater pollution comprehensive indices are mapped onto the pollutant correlation matrix to obtain multiple mapping relationships between the pollutant correlation matrix and the multiple wastewater pollution comprehensive indices. These multiple mapping relationships are used as pollution parameter association information for each process segment.

[0007] Preferably, the step of obtaining flow characteristic parameters and equivalent hydraulic residence time based on the hydraulic characteristic parameters of each process segment, and obtaining the compensation flow rate of each process segment based on the flow characteristic parameters and the equivalent hydraulic residence time, includes: Based on the hydraulic characteristic parameters, the basic process parameters, time-varying behavior parameters, and flow regime characteristic parameters of each process section are obtained. Among them, the basic process parameters include the current instantaneous maximum flow rate, average flow rate, and reference fluctuating flow rate. The peak flow ratio is obtained based on the current instantaneous maximum flow and the average flow, and the fluctuation flow coefficient is obtained based on the baseline fluctuation flow and the peak flow ratio; The flow fluctuation frequency and equivalent hydraulic residence time are obtained based on the time-varying behavior parameters, and the pulse intensity factor and the fluctuation flow coefficient are obtained based on the flow fluctuation frequency. The fluctuation compensation coefficient is obtained based on the pulse intensity factor and the fluctuation flow coefficient. The turbulence intensity and flow distribution index are obtained based on the flow characteristic parameters, the water distribution uniformity is obtained based on the flow distribution index, and the flow correction coefficient is obtained based on the water distribution uniformity and turbulence intensity. The compensated flow rate for each process section is obtained based on the baseline fluctuating flow rate, the equivalent hydraulic residence time, the fluctuation compensation coefficient, and the flow regime correction coefficient.

[0008] Preferably, the step of obtaining the high-purity water dilution ratio for each process section based on the concentration of the main pollutant and the compensation flow rate includes: Obtain the target concentration within the preset area, and obtain the concentration difference between the target concentration and the main pollutant concentration, and obtain the initial high-purity water dilution ratio value based on the ratio of the concentration difference to the target concentration; The compensation flow is normalized to obtain a normalized compensation flow value; The pollutant sensitivity weight and flow fluctuation weight are obtained based on the concentration of the main pollutants. The high-purity water dilution ratio is obtained based on the initial high-purity water dilution ratio, the compensated flow rate normalization value, the pollutant sensitivity weight, and the flow fluctuation weight.

[0009] Preferably, the step of obtaining the membrane flux decay rate of each process segment based on the high-purity water dilution ratio includes: The pollutant dilution concentration is obtained based on the high-purity water dilution ratio and the preset measured pollutant concentration; Obtain the preset coefficient of the membrane passage material, and obtain the deposition rate based on the preset coefficient of the membrane passage material and the dilution concentration of the pollutant; Obtain the flux decay coefficient and initial flux of the membrane flux material, and obtain the membrane flux decay rate based on the deposition rate, the flux decay coefficient of the membrane flux material, and the initial flux.

[0010] Preferably, the step of performing water circulation classification control on multiple process sections based on the membrane flux decay rate of each process section includes: The membrane flux decay rate of each process segment was sorted and the process segment with the highest membrane flux decay rate was selected and marked as the critical pollution area. The attenuation rate change gradient and the first flow rate change rate of adjacent process sections are obtained based on the key contamination area. Obtain the second flow rate change rate of the key pollution area in the previous control period, and obtain the average flow rate change rate based on the second flow rate change rate and the first flow rate change rate; Starting from the critical pollution area, multiple distances to the remaining process sections are obtained, and the total water circulation distance is obtained based on the multiple distances. The multiple distances are then compared with the total water circulation distance in turn to obtain multiple distance attenuation coefficients. The first pure water volume is obtained based on the attenuation rate change gradient. The wastewater flow rate of adjacent process sections is obtained based on the average flow rate change rate, and the actual pure water flow rate is obtained based on the first pure water flow rate and the wastewater flow rate. The actual pure water volume is calculated sequentially with multiple distance attenuation coefficients to obtain multiple second pure water volumes; The water circulation of each process section is controlled based on the actual pure water volume and multiple second pure water volumes.

[0011] This application also discloses a water circulation control system for PCB manufacturing processes, comprising: The first acquisition module is used to acquire wastewater parameters generated in each process stage during PCB production, wherein the wastewater parameters include water pollution characteristic parameters and hydraulic characteristic parameters. The second acquisition module is used to acquire wastewater type identifiers and pollution parameter association information based on the water quality pollution characteristic parameters of each process segment, and to acquire water quality impact information of each process segment based on the wastewater type identifiers and pollution parameter association information, wherein the water quality impact information includes information on major pollutants and the corresponding concentrations of major pollutants; The third acquisition module is used to acquire flow characteristic parameters and equivalent hydraulic residence time based on the hydraulic characteristic parameters of each process section, and to acquire the compensation flow of each process section based on the flow characteristic parameters and the equivalent hydraulic residence time. The fourth acquisition module is used to acquire the high-purity water dilution ratio of each process section based on the concentration of the main pollutant and the compensation flow rate. The fifth acquisition module is used to acquire the membrane flux decay rate of each process section according to the high-purity water dilution ratio. The control module is used to perform water circulation classification control on multiple process sections according to the membrane flux decay rate of each process section.

[0012] Preferably, the second acquisition module includes: The first acquisition unit is used to acquire multiple time nodes and corresponding pollution types continuously collected within a preset acquisition period based on the water pollution characteristic parameters of each process section, and to construct a pollutant correlation matrix based on each time node and corresponding pollution type. The second acquisition unit is used to acquire the area of ​​the purification tank corresponding to each process section, and to acquire multiple current pH value distribution maps corresponding to multiple areas of the purification tank based on pH testing. The third acquisition unit is used to extract the high-percentage pH value region of each process segment based on the multiple current pH value distribution maps, and to obtain the corresponding multiple wastewater type identifiers based on the high-percentage pH value region of each process segment. The fourth acquisition unit is used to acquire the concentration corresponding to each wastewater type identifier based on the plurality of wastewater type identifiers; The comparison unit is used to compare the multiple labeled concentrations sequentially with a preset concentration threshold to obtain multiple pollutant concentration deviation values; The fifth acquisition unit is used to acquire the average concentration of multiple pollutants corresponding to the multiple labeled concentrations within a preset time period; The sixth acquisition unit is used to acquire multiple pollutant characteristic difference rates based on multiple pollutant concentration deviation values ​​and multiple pollutant concentration average values, and to sequentially weight and calculate multiple wastewater pollution comprehensive indices by weighting the multiple pollutant characteristic difference rates and multiple pollutant concentration deviations. The mapping unit is used to map multiple wastewater pollution comprehensive indices into the pollutant correlation matrix to obtain multiple mapping relationships between the pollutant correlation matrix and the multiple wastewater pollution comprehensive indices, and to use the multiple mapping relationships as pollution parameter association information for each process segment.

[0013] This application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described method.

[0014] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.

[0015] The beneficial effects of this application are as follows: This invention achieves accurate identification of wastewater types and quantitative assessment of pollution levels by acquiring the water quality pollution characteristics and hydraulic characteristic parameters of wastewater from each process stage of PCB manufacturing. Based on the water quality characteristics, the main pollutants and their concentrations are determined. Flow parameters and compensation flow rates are obtained based on the hydraulic characteristics. Combining these two factors, the high-purity water dilution ratio is dynamically calculated, avoiding the waste of low-concentration wastewater caused by traditional fixed-ratio dilution and achieving "on-demand dilution" to reduce high-purity water consumption. Furthermore, the membrane flux decay rate is obtained through the dilution ratio, and water circulation is controlled in stages for each process stage accordingly. This solves the problem of excessive costs caused by over-dilution and unified treatment, ensuring normal wastewater treatment, improving efficiency, and reducing costs. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of a method flow according to an embodiment of this application.

[0017] Figure 2 This is a schematic diagram of the system structure according to an embodiment of this application.

[0018] Figure 3 This is a schematic diagram of the internal structure of a computer device according to an embodiment of this application.

[0019] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0020] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0021] like Figure 1 As shown, this application provides a method for controlling water circulation in the PCB manufacturing process, including: S1. Obtain wastewater parameters generated in each process stage during PCB production, wherein the wastewater parameters include water pollution characteristic parameters and hydraulic characteristic parameters; S2. Obtain wastewater type identification and pollution parameter association information based on the water quality pollution characteristic parameters of each process section, and obtain water quality impact information of each process section based on the wastewater type identification and pollution parameter association information, wherein the water quality impact information includes information on major pollutants and the corresponding concentration of major pollutants; S3. Obtain flow characteristic parameters and equivalent hydraulic residence time based on the hydraulic characteristic parameters of each process section, and obtain the compensation flow rate of each process section based on the flow characteristic parameters and the equivalent hydraulic residence time. S4. Obtain the high-purity water dilution ratio for each process section based on the concentration of the main pollutants and the compensation flow rate; S5. Obtain the membrane flux decay rate of each process section according to the high-purity water dilution ratio. S6. Perform water circulation classification control on multiple process sections according to the membrane flux decay rate of each process section.

[0022] As described in steps S1-S6 above, existing wastewater treatment typically employs a "dilution and uniform treatment" approach with high-purity water. This results in excessive consumption of high-purity water after water recycling, leading to significant water recycling costs. This invention first acquires wastewater parameters from multiple areas generated during various process stages in PCB manufacturing. These parameters include water quality pollution characteristic parameters and hydraulic characteristic parameters. Multi-dimensional analysis of the wastewater using these parameters enables accurate identification of wastewater types and quantitative assessment of pollution levels. This method can dynamically adjust the high-purity water dilution ratio and treatment strategy based on the characteristics of wastewater in different areas.

[0023] Secondly, wastewater type identification and pollution parameter correlation information are obtained based on the water quality pollution characteristic parameters of each process segment. Based on the wastewater type identification and pollution parameter correlation information, the dominant water quality impact information of each process segment is obtained. The dominant water quality impact information includes information on major pollutants and the corresponding concentrations of major pollutants. In this way, the dominant pollutant types of wastewater from each PCB process segment are significantly different (e.g., developing wastewater contains alkaline organic matter, and etching wastewater contains heavy metals). Identifying the "major pollutants and their concentrations" is a prerequisite for subsequent precise treatment.

[0024] Then, based on the hydraulic characteristic parameters of each process section, flow characteristic parameters and equivalent hydraulic residence time are obtained. Compensation flow rates for each process section are then calculated based on these parameters. This allows for the determination of whether there is a sudden increase in the use of high-purity water by monitoring the instantaneous flow rate change rate. Simultaneously, it avoids water level exceeding limits or insufficient treatment time due to flow fluctuations. Hydraulic characteristics directly affect the treatment effect; for example, a sudden increase in flow rate may lead to insufficient residence time of wastewater in the treatment tank, resulting in incomplete reaction of pollutants. Uneven flow patterns may lead to excessively high local pollutant concentrations, exceeding the treatment capacity. The purpose of the compensation flow rate is to "dynamically adjust the influent / effluent flow rate of the treatment system" to ensure stable treatment conditions.

[0025] Next, the high-purity water dilution ratio for each process section is obtained based on the concentration of the main pollutants and the compensation flow rate. The purpose of high-purity water dilution is to reduce the pollutant concentration to a range that the treatment system (such as membrane filtration) can withstand. However, excessive dilution will lead to waste of high-purity water, while insufficient dilution will prevent dilution. The dilution ratio must be matched with both the "pollutant concentration" and the "flow rate fluctuation". For example, high-concentration pollutants require a higher dilution ratio, while when the flow rate fluctuates greatly, the ratio needs to be appropriately increased to reserve a buffer space. At the same time, it can also solve the problem of "excessive fixed-ratio dilution" (such as uniform dilution of 10 times) in traditional technologies, which causes great waste of low-concentration wastewater. This step achieves "dilution on demand" through dynamic calculation, which significantly reduces the consumption of high-purity water.

[0026] The membrane flux decay rate for each process stage was obtained based on the high-purity water dilution ratio. Membrane filtration is the core step in the deep treatment of PCB wastewater, and the membrane flux decay rate directly determines the membrane's lifespan and treatment efficiency. The faster the decay, the more frequently the membrane needs cleaning or replacement, resulting in higher costs. The decay rate is positively correlated with the pollutant concentration (higher concentration, faster deposition). Therefore, it is necessary to calculate this correlation using the dilution ratio to ensure proper wastewater treatment during PCB production. The water circulation system is tiered and controlled based on the membrane flux decay rate of each process stage. Different process stages have varying "load impacts" on the water circulation system, with critical pollution areas being the core factor causing a decline in overall treatment efficiency. The essence of tiered control is to "concentrate resources to prioritize resolving the main issues," minimizing energy consumption and material costs while ensuring overall treatment meets standards. Therefore, the membrane flux decay rate can be used to address the main issues. This allows for the segmented control of high-purity water volumes from each process stage, avoiding the excessive dilution and uniform treatment of high-purity water, which leads to excessive consumption and increased water circulation costs.

[0027] In one embodiment, step S2, which involves obtaining wastewater type identification and pollution parameter association information based on the water quality pollution characteristic parameters of each process segment, includes: S201. Based on the water pollution characteristic parameters of each process section, obtain multiple time nodes and corresponding pollution types continuously collected within a preset collection period, and construct a pollutant correlation matrix based on each time node and corresponding pollution type. S202. Obtain the area of ​​the purification tank corresponding to each process section, and obtain multiple current pH value distribution maps corresponding to the multiple areas of the purification tank based on pH testing. S203. Extract the high-percentage pH value regions of each process segment based on the multiple current pH value distribution maps, and obtain the corresponding multiple wastewater type identifiers based on the high-percentage pH value regions of each process segment. S204. Obtain the concentration corresponding to each wastewater type identifier based on the plurality of wastewater type identifiers; S205. The multiple labeled concentrations are compared sequentially with a preset concentration threshold to obtain multiple pollutant concentration deviation values; S206. Obtain the average concentration of multiple pollutants corresponding to the multiple labeled concentrations within a preset time period; S207. Obtain multiple pollutant characteristic difference rates based on multiple pollutant concentration deviation values ​​and multiple pollutant concentration average values, and then calculate multiple wastewater pollution comprehensive indices by weighting the multiple pollutant characteristic difference rates and multiple pollutant concentration deviations in sequence. S208. Map the multiple wastewater pollution comprehensive indices to the pollutant correlation matrix to obtain multiple mapping relationships between the pollutant correlation matrix and the multiple wastewater pollution comprehensive indices, and use the multiple mapping relationships as pollution parameter association information for each process segment.

[0028] As described in steps S201-S208 above, since the release of pollutants from PCB production wastewater has temporal fluctuations (such as the periodic changes in pollutant concentration caused by intermittent chemical addition during the etching process), this invention first obtains multiple time nodes and corresponding pollution types continuously collected within a preset collection period based on the water pollution characteristic parameters of each process segment. Then, a pollutant correlation matrix is ​​constructed based on each time node and corresponding pollution type. The matrix is ​​constructed by using time nodes as rows and pollution types as columns. In this way, the matrix can intuitively reflect the correlation pattern of pollution types at different time nodes, avoiding "random errors" caused by detection at a single time point. Compared with traditional "single-point sampling", this matrix can capture the synergistic change characteristics of pollutants over time (such as the synchronous release of heavy metals and organic matter), providing a time dimension basis for subsequent pollution parameter correlation.

[0029] The purification tank area corresponding to each process section is obtained. Based on pH testing, multiple current pH value distribution maps corresponding to the purification tank areas are obtained. The purification tank area is obtained through the following process: a full-area scan of the purification tank is performed using a corresponding pH sensor array (arranged at corresponding 2m×2m intervals). The pH value distribution map is generated by mapping the multiple corresponding pH values ​​obtained from the scan (e.g., obtaining data from 25 corresponding detection points for a 50㎡ tank) according to their spatial locations to generate a current pH value distribution map (e.g., using different colors to mark the acidity corresponding to pH < 4). The pH value is a core indicator reflecting the acidity or alkalinity of wastewater. Wastewater from the same process stage may have spatial distribution differences in the purification tank due to uneven mixing (e.g., newly discharged acidic wastewater and residual alkaline wastewater in the tank are not completely mixed, forming local pH troughs). The pH value of a single detection point cannot represent the overall water quality characteristics. Furthermore, scanning the pH distribution across the entire area can avoid the one-sidedness of "single-point pH detection" and provide spatial data support for the subsequent accurate identification of wastewater acidity or alkalinity.

[0030] Then, based on the multiple current pH value distribution maps, high-percentage pH value regions for each process segment are extracted, and multiple corresponding wastewater type identifiers are obtained based on the high-percentage pH value regions for each process segment. The high-percentage pH value regions are calculated by dividing the area of ​​each pH range (e.g., pH<4, 4≤pH≤6, 7≤pH≤9, pH>10) and selecting the region with the highest percentage. The acidity or alkalinity of the wastewater directly determines the subsequent treatment process (e.g., acidic wastewater requires neutralization treatment, and alkaline wastewater requires acidification adjustment). The high-percentage pH region can reflect the "mainstream properties" of the wastewater, avoiding misclassification of the type due to local anomalies (e.g., accidental mixing of acidic or alkaline wastewater). At the same time, determining the type by "spatial proportion" significantly improves the accuracy of wastewater type identification.

[0031] The concentration corresponding to each wastewater type identifier is obtained based on multiple wastewater type identifiers. The wastewater concentration can be measured by corresponding detection equipment (such as ion chromatography to measure H+ concentration, and atomic absorption spectrometry to measure copper ion concentration). This binds the "type identifier" with the "specific concentration", providing a dual basis of "qualitative + quantitative" for subsequent pollution parameter correlation, and facilitating subsequent data processing.

[0032] Multiple labeled concentrations are sequentially compared with preset concentration thresholds to obtain multiple pollutant concentration deviation values. The calculation process of multiple pollutant concentration deviation values ​​is to subtract the preset concentration thresholds from the multiple labeled concentrations sequentially. The deviation value directly reflects the difference between the current pollution concentration and the target control value, and is the basic indicator for judging "whether enhanced treatment is needed" (e.g., if the deviation value is positive and the larger it is, the more serious the exceedance is, and a higher dilution ratio is required). In addition, by quantifying the degree of deviation, the traditional binary judgment of "exceeding the standard / not exceeding the standard" can be avoided, and a quantitative basis can be provided for subsequent precise control.

[0033] The average concentrations of multiple pollutants corresponding to the multiple labeled concentrations within a preset time period are obtained. This average reflects the long-term stable level of pollutants and avoids overtreatment caused by instantaneous fluctuations (such as short-term peaks during liquid changes).

[0034] Simultaneously, multiple pollutant characteristic difference rates are obtained based on multiple pollutant concentration deviation values ​​and multiple pollutant concentration average values, wherein the calculation formula is: , where A n Let d(q) be the characteristic difference rate of the first nth pollutant. n Let j(z) be the deviation value of the concentration of the first nth pollutant. nLet n be the average concentration of the first n pollutants, where n is the index (n = 1, 2, 3...n). Multiple pollutant characteristic difference rates and multiple pollutant concentration deviations are weighted sequentially to obtain multiple comprehensive wastewater pollution indices. The deviation directly determines whether standards are met and represents the minimum requirement; the difference rate reflects "stability risk" and affects the lifespan of the treatment system. Therefore, the weight of pollutant concentration deviation is greater than that of the pollutant characteristic difference rate, and the sum of their weights is 1.

[0035] Finally, the multiple wastewater pollution comprehensive indices are mapped onto the pollutant correlation matrix to obtain multiple mapping relationships between the pollutant correlation matrix and the multiple wastewater pollution comprehensive indices. These multiple mapping relationships are used as pollution parameter association information for each process segment. In this way, the association information binds the "pollutant time correlation pattern" with the "pollution degree quantification index", which can intuitively identify "high-risk associated pollutants" and form a complete pollution feature database. This provides a direct basis for obtaining "major pollutants and concentrations" (dominant information on water quality impact) in the future (e.g., the pollutant with the highest comprehensive index and the strongest correlation is the major pollutant).

[0036] In one embodiment, step S3, which involves obtaining flow characteristic parameters and equivalent hydraulic residence time based on the hydraulic characteristic parameters of each process segment, and obtaining the compensation flow rate of each process segment based on the flow characteristic parameters and the equivalent hydraulic residence time, includes: S301. Obtain the basic process parameters, time-varying behavior parameters, and flow regime characteristic parameters for each process section based on the hydraulic characteristic parameters. The basic process parameters include the current instantaneous maximum flow rate, average flow rate, and reference fluctuating flow rate. S302. Obtain the peak flow ratio based on the current instantaneous maximum flow and the average flow, and obtain the fluctuation flow coefficient based on the baseline fluctuation flow and the peak flow ratio; S303. Obtain the flow fluctuation frequency and equivalent hydraulic residence time according to the time-varying behavior parameters, and obtain the pulse intensity factor and the fluctuation flow coefficient according to the flow fluctuation frequency, and obtain the fluctuation compensation coefficient according to the pulse intensity factor and the fluctuation flow coefficient. S304. Obtain turbulence intensity and flow distribution index based on the flow characteristic parameters, obtain water distribution uniformity based on the flow distribution index, and obtain flow correction coefficient based on water distribution uniformity and turbulence intensity; S305. Obtain the compensation flow rate for each process section based on the reference fluctuating flow rate, the equivalent hydraulic residence time, the fluctuation compensation coefficient, and the flow regime correction coefficient.

[0037] As described in steps S301-S305 above, the present invention first obtains the basic process parameters, time-varying behavior parameters, and flow regime characteristic parameters for each process section based on the hydraulic characteristic parameters. The basic process parameters include the current instantaneous maximum flow rate, average flow rate, and baseline fluctuating flow rate. The time-varying behavior parameters reflect the characteristics of flow rate changes over time, including flow fluctuation frequency (the number of times the flow rate exceeds the baseline range per unit time, such as 3 times per hour) and equivalent hydraulic residence time (the actual effective residence time of wastewater in the purification tank, such as tank volume 100m³ ÷ average flow rate 25m³ / h = 4h). The flow regime characteristic parameters reflect the state of water flow, including turbulence intensity (the severity of water flow velocity fluctuations, calculated by the standard deviation of velocity detected by a flow meter) and flow regime distribution index (a water flow uniformity index, such as between 0 and 1, where 1 indicates complete uniformity). Furthermore, hydraulic characteristics are a multi-dimensional concept. The basic parameters reflect the flow rate scale, the time-varying parameters reflect the time fluctuations, and the flow regime parameters reflect the spatial distribution. The three together determine the "trajectory and reaction conditions" of wastewater in the treatment system and provide a basis for subsequent data acquisition.

[0038] The peak flow ratio is obtained based on the current instantaneous maximum flow and the average flow, and the fluctuation flow coefficient is obtained based on the baseline fluctuation flow and the peak flow ratio. The peak flow ratio = current instantaneous maximum flow / average flow, and the fluctuation flow coefficient = baseline fluctuation flow * peak flow ratio. The peak flow ratio reflects the "difference between extreme flow and normal flow", and the fluctuation flow coefficient further combines this difference with daily fluctuations to reflect the "normal + extreme" flow fluctuation range that the system needs to cope with.

[0039] The flow fluctuation frequency and equivalent hydraulic residence time are obtained based on the time-varying behavior parameters. The pulse intensity factor and the fluctuation flow coefficient are obtained based on the flow fluctuation frequency. A fluctuation compensation coefficient is then obtained based on the pulse intensity factor and the fluctuation flow coefficient. Here, the pulse intensity factor = 1 + 0.1 * flow fluctuation frequency, and the fluctuation compensation coefficient = pulse intensity factor * fluctuation flow coefficient. Thus, flow fluctuations not only have amplitude differences but also frequency differences (e.g., high-frequency, small-amplitude fluctuations are more likely to cause system fatigue than low-frequency, large-amplitude fluctuations). The fluctuation compensation coefficient quantifies the comprehensive interference of this dynamic fluctuation on the processing system through a coupled calculation of "frequency × amplitude".

[0040] The turbulence intensity and flow distribution index are obtained based on the flow characteristic parameters, and the uniformity of water distribution is obtained based on the flow distribution index. The flow correction coefficient is obtained based on the uniformity of water distribution and the turbulence intensity. The uniformity of water distribution reflects the uniformity of water distribution in the purification tank and is positively correlated with the flow distribution index. Therefore, the uniformity of water distribution is equal to the flow distribution index. The flow correction coefficient is calculated by considering the combined effects of turbulence intensity and uniformity. The higher the turbulence intensity and the better the uniformity, the smaller the correction coefficient (the better the flow, the less compensation is needed). The flow correction coefficient = 1 ÷ (turbulence intensity × uniformity of water distribution). Furthermore, uneven flow (such as excessively fast or stagnant local water flow) can lead to insufficient contact between pollutants and treatment agents, reducing reaction efficiency. The flow correction coefficient quantifies this "degree of unevenness" to determine the additional flow rate required to improve the mixing effect. It can also provide stable hydraulic basis data for achieving precise control of hydraulic conditions in each process section.

[0041] The compensation flow rate for each process section is obtained based on the baseline fluctuating flow rate, the equivalent hydraulic residence time, the fluctuation compensation coefficient, and the flow regime correction coefficient. The compensation flow rate is a flow rate value that needs to be additionally adjusted (such as increasing the influent or circulation flow rate) to ensure that the high-purity water in actual treatment can meet the water circulation dilution requirements.

[0042] In one embodiment, step S4, which involves obtaining the high-purity water dilution ratio for each process section based on the concentration of the main pollutant and the compensation flow rate, includes: S401. Obtain the target concentration within the preset area, and obtain the concentration difference between the target concentration and the main pollutant concentration, and obtain the initial high-purity water dilution ratio value based on the ratio of the concentration difference to the target concentration. S402. Normalize the compensation flow to obtain a normalized value of the compensation flow; S403. Obtain pollutant sensitivity weights and flow fluctuation weights based on the concentrations of the main pollutants. S404. Obtain the high-purity water dilution ratio based on the initial high-purity water dilution ratio value, the compensated flow rate normalization value, the pollutant sensitivity weight, and the flow fluctuation weight.

[0043] As described in steps S401-S404 above, this invention first obtains the target concentration within a preset area, then calculates the concentration difference between the target concentration and the concentration of the main pollutant, and finally obtains the initial high-purity water dilution ratio based on the ratio of the concentration difference to the target concentration. This determines the basic amount of high-purity water required for dilution, ensuring that the treated wastewater meets standards. Furthermore, the dilution ratio is a core parameter in wastewater treatment, directly affecting the consumption of high-purity water and treatment costs. By using the target concentration to drive the dilution amount, "over-dilution" or "under-dilution" is avoided.

[0044] The compensation flow rate is normalized to obtain a normalized value. The compensation flow rate may vary significantly depending on the process section (e.g., the compensation flow rate in the etching section can reach 50 m³ / h, while it is only 5 m³ / h in the rinsing section). Normalization (converting it into a dimensionless value in the [0,1] interval) eliminates the dimension effect, which facilitates coupling calculation with concentration parameters. The normalized value reflects the relative intensity of the flow rate fluctuation. For example, if the maximum compensation flow rate of a certain process section is 100 m³ / h and the current compensation flow rate is 70 m³ / h, the normalized value is 0.7, indicating that the flow rate fluctuation is at a moderately high level.

[0045] The pollutant sensitivity weight and flow fluctuation weight are obtained based on the concentration of the main pollutants. The sensitivity weight is assigned according to the pollutant toxicity (e.g., hexavalent chromium weight = 0.8, sodium chloride weight = 0.2). High-risk pollutants are subject to a mandatory increase in dilution ratio to reduce the load on the membrane system. The flow fluctuation weight reflects the production stability. Process segments with frequent fluctuations (e.g., small-batch etching segments) are given higher weights (e.g., 0.4), while process segments with stable flow (e.g., continuous rinsing segments) are given lower weights (e.g., 0.1) to avoid treatment instability caused by fluctuating flow rates. Different types of pollutants are treated differently, with priority given to controlling high-risk pollutants (e.g., heavy metal ions that easily lead to permanent membrane fouling). The sum of the pollutant sensitivity weight and the flow fluctuation weight is equal to 1.

[0046] The high-purity water dilution ratio is obtained based on the initial high-purity water dilution ratio, the compensated flow rate normalization value, the pollutant sensitivity weight, and the flow rate fluctuation weight. The calculation formula is: High-purity water dilution ratio = Initial high-purity water dilution ratio × (Pollutant sensitivity weight + Flow rate fluctuation weight × Compensated flow rate normalization value). This dynamic adjustment of the high-purity water dilution ratio balances pollutant removal efficiency and system stability. For example, when pollutant sensitivity is high and flow rate fluctuation is large, treatment is intensified; conversely, it is reduced to conserve high-purity water. Thus, the high-purity water dilution ratio enables dynamic optimization of water circulation treatment.

[0047] In one embodiment, step S5, which involves obtaining the membrane flux decay rate of each process segment based on the high-purity water dilution ratio, includes: S501. Obtain the pollutant dilution concentration based on the high-purity water dilution ratio and the preset measured pollutant concentration; S502. Obtain the preset coefficient of the membrane passage material, and obtain the deposition rate based on the preset coefficient of the membrane passage material and the dilution concentration of the pollutant. S503. Obtain the flux decay coefficient and initial flux of the membrane flux material, and obtain the membrane flux decay rate based on the deposition rate, the flux decay coefficient of the membrane flux material, and the initial flux.

[0048] As described in steps S501-S503 above, the present invention first obtains the effective concentration of pollutants based on the high-purity water dilution ratio and the preset measured pollutant concentration. The effective pollutant concentration is calculated as: effective pollutant concentration = measured pollutant concentration / (1 + high-purity water dilution ratio). The measured pollutant concentration is obtained by directly sampling and detecting wastewater generated from each process stage. Specifically, for wastewater from different process stages (such as etching, electroplating, and developing), professional testing equipment and technologies (such as ion chromatography and atomic absorption spectrometry) are used to actually measure the pollutant concentration in the water sample. This dynamically couples the dilution ratio with the pollutant concentration, avoiding either "insufficient dilution leading to increased pollution" or "excessive dilution wasting resources." Furthermore, if the dilution ratio is adjusted (e.g., due to flow fluctuations or changes in pollutant concentration), the effective concentration is updated in real time, ensuring that membrane flux calculations are always based on the current actual operating conditions.

[0049] The membrane material preset coefficient is obtained, and the deposition rate is obtained based on the membrane material preset coefficient and the effective concentration of pollutants. The deposition rate reflects the adhesion speed of pollutants on the membrane surface. The deposition rate is calculated by the formula: Deposition rate = Membrane material preset coefficient × Effective concentration of pollutants. This quantifies the pollution process and avoids errors caused by empirical judgment. The membrane material preset coefficient can be adjusted according to the membrane type (such as ultrafiltration, reverse osmosis) and material (such as polyamide, cellulose acetate) to improve the universality of the model. For example, reverse osmosis membranes have a higher rejection rate for heavy metals, and the preset coefficient of the membrane flux is usually greater than that of ultrafiltration membranes. This allows the deposition rate to quantify the adhesion speed of pollutants on the membrane surface and predict the membrane fouling process, so as to adjust the throughput of high-purity water and avoid delays in wastewater dilution due to membrane fouling. The membrane is the component for filtering the preset range, which is intended to separate pollutants in wastewater and achieve water purification. At the same time, by adjusting the high-purity water volume through the membrane flux decay rate, the pure water within the preset range can be optimized and adjusted. This also reduces the need for membrane replacement (so that the membrane is not replaced when the membrane flux decay rate decreases, and the membrane and the high-purity water volume are optimally regulated at the same time).

[0050] In one embodiment, step S6, which involves classifying and controlling the water circulation of multiple process segments based on the membrane flux decay rate of each process segment, includes: S601. Sort the membrane flux decay rate of each process segment and select the process segment with the largest membrane flux decay rate, and mark the process segment with the largest membrane flux decay rate as the critical pollution area. S602. Obtain the attenuation rate change gradient and the first flow rate change rate of adjacent process sections based on the key pollution area; S603. Obtain the second flow rate change rate of the key pollution area in the previous control cycle, and obtain the average flow rate change rate based on the second flow rate change rate and the first flow rate change rate. S604. Starting from the critical pollution area, obtain multiple distances to the remaining process sections, and obtain the total water circulation distance based on the multiple distances. Compare the multiple distances with the total water circulation distance in sequence to obtain multiple distance attenuation coefficients. S605. Obtain the first pure water volume according to the attenuation rate change gradient; S606. Obtain the wastewater flow rate of the adjacent process section based on the average flow rate change rate, and obtain the actual pure water flow rate based on the first pure water flow rate and the wastewater flow rate. S607. The actual pure water volume is calculated sequentially with multiple distance attenuation coefficients to obtain multiple second pure water volumes; S608. Control the water circulation of each process section according to the actual pure water volume and multiple second pure water volumes.

[0051] As described in steps S601-S608 above, the present invention first sorts the membrane flux decay rate of each process segment and selects the process segment with the largest membrane flux decay rate, and marks the process segment with the largest membrane flux decay rate as the critical pollution area. In this way, high-purity water can be allocated first to avoid rapid pollution that would cause the entire water cycle treatment to become unbalanced. Starting from the critical pollution area, important areas can be treated first.

[0052] Based on the key contaminated area, the decay rate change gradient and the first flow rate change rate of adjacent process sections are obtained. The decay rate change gradient reflects the diffusion intensity of pollution from the key area to the adjacent section (the larger the gradient, the faster the diffusion). The first flow rate change rate reflects the ability of the current flow rate to dilute the key contaminated area (the larger the flow rate, the faster the pollutant diffuses and the faster it is diluted). It can also provide a quantitative basis for the "pollution diffusion intensity" and "diffusion dynamics" for subsequent adjustment of pure water volume.

[0053] The second flow rate change rate of the key pollution area in the previous control period is obtained, and the average flow rate change rate is obtained based on the second flow rate change rate and the first flow rate change rate. The flow rate change in a single period may be random (such as instantaneous equipment drainage). The average can better reflect the long-term flow trend and avoid misadjustment of pure water volume due to short-term fluctuations. Secondly, it can also make the assessment of the impact of flow on pollution diffusion more stable.

[0054] Next, starting from the key pollution area, multiple distances to the remaining process sections are obtained, and the total water circulation distance is obtained based on these multiple distances. The multiple distances are then compared with the total water circulation distance in turn to obtain multiple distance attenuation coefficients. As pollutants diffuse with the water flow, the farther the distance, the more obvious the concentration attenuation. Thus, the degree of concentration attenuation can be quantified through multiple distance attenuation coefficients, and spatial basis can be provided for the subsequent pure water volume allocation.

[0055] Simultaneously, the first pure water volume is obtained based on the attenuation rate change gradient. The specific acquisition process is as follows: first, the pure water volume of the critically polluted area is obtained; then, the first pure water volume is obtained based on the pure water volume of the critically polluted area and the attenuation rate change gradient. The calculation formula is as follows: ; Where Q is the first pure water volume, G(s) is the pure water volume in the key polluted area, γ is the preset compensation coefficient, and ε is the gradient of the decay rate change.

[0056] For example: the pure water volume in the key polluted area is G(s) = 10 m³ / h, the decay rate change gradient is ε = 3% / h, the preset compensation coefficient (such as the diffusion compensation coefficient of metal pollution is 0.2), and the first pure water volume is 10*(1+0.2*3) = 16 m³ / h.

[0057] Then, the wastewater flow rate of adjacent process sections is obtained based on the average flow rate change rate, and the actual pure water volume is obtained based on the first pure water volume and the wastewater flow rate. Specifically, the actual pure water volume is obtained by subtracting the wastewater flow rate from the first pure water volume. This allows for precise dilution treatment of wastewater generated by PCB based on the actual pure water volume.

[0058] Since the pollution impact is weaker the farther away from the critical pollution area, the required amount of pure water decreases proportionally. Therefore, it is necessary to calculate the actual amount of pure water with multiple distance attenuation coefficients in sequence to obtain multiple second amounts of pure water. This can avoid excessive water use in distant adjacent sections and reduce the overall consumption of high-purity water.

[0059] In PCB manufacturing, the degree of fouling of membrane systems by wastewater from different process stages (such as etching, developing, and rinsing) varies significantly. The membrane flux decay rate directly reflects the speed of membrane fouling (the faster the decay, the more significant the decrease in membrane filtration efficiency, requiring more frequent cleaning or replacement). Due to the spatial diffusion (e.g., high concentrations of pollutants in critical areas can spread to adjacent process stages) and flow fluctuations (flow changes alter the pollutant diffusion rate) of wastewater in the water circulation system, applying a uniform water circulation control strategy to all process stages could lead to either "insufficient treatment in critical areas (rapid membrane failure)" or "excessive water use in non-critical areas (cost waste)." Therefore, by controlling the water circulation of each process stage based on the actual pure water volume and multiple second pure water volumes, treatment resources can be precisely allocated according to the varying degrees of fouling impact through tiered control.

[0060] like Figure 2 As shown, this application also provides a water circulation control system for PCB manufacturing, comprising: The first acquisition module is used to acquire wastewater parameters generated in each process stage during PCB production, wherein the wastewater parameters include water pollution characteristic parameters and hydraulic characteristic parameters. The second acquisition module is used to acquire wastewater type identifiers and pollution parameter association information based on the water quality pollution characteristic parameters of each process segment, and to acquire water quality impact information of each process segment based on the wastewater type identifiers and pollution parameter association information, wherein the water quality impact information includes information on major pollutants and the corresponding concentrations of major pollutants; The third acquisition module is used to acquire flow characteristic parameters and equivalent hydraulic residence time based on the hydraulic characteristic parameters of each process section, and to acquire the compensation flow of each process section based on the flow characteristic parameters and the equivalent hydraulic residence time. The fourth acquisition module is used to acquire the high-purity water dilution ratio of each process section based on the concentration of the main pollutant and the compensation flow rate. The fifth acquisition module is used to acquire the membrane flux decay rate of each process section according to the high-purity water dilution ratio. The control module is used to perform water circulation classification control on multiple process sections according to the membrane flux decay rate of each process section.

[0061] In one embodiment, the second acquisition module includes: The first acquisition unit is used to acquire multiple time nodes and corresponding pollution types continuously collected within a preset acquisition period based on the water pollution characteristic parameters of each process section, and to construct a pollutant correlation matrix based on each time node and corresponding pollution type. The second acquisition unit is used to acquire the area of ​​the purification tank corresponding to each process section, and to acquire multiple current pH value distribution maps corresponding to multiple areas of the purification tank based on pH testing. The third acquisition unit is used to extract the high-percentage pH value region of each process segment based on the multiple current pH value distribution maps, and to obtain the corresponding multiple wastewater type identifiers based on the high-percentage pH value region of each process segment. The fourth acquisition unit is used to acquire the concentration corresponding to each wastewater type identifier based on the plurality of wastewater type identifiers; The comparison unit is used to compare the multiple labeled concentrations sequentially with a preset concentration threshold to obtain multiple pollutant concentration deviation values; The fifth acquisition unit is used to acquire the average concentration of multiple pollutants corresponding to the multiple labeled concentrations within a preset time period; The sixth acquisition unit is used to acquire multiple pollutant characteristic difference rates based on multiple pollutant concentration deviation values ​​and multiple pollutant concentration average values, and to sequentially weight and calculate multiple wastewater pollution comprehensive indices by weighting the multiple pollutant characteristic difference rates and multiple pollutant concentration deviations. The mapping unit is used to map multiple wastewater pollution comprehensive indices into the pollutant correlation matrix to obtain multiple mapping relationships between the pollutant correlation matrix and the multiple wastewater pollution comprehensive indices, and to use the multiple mapping relationships as pollution parameter association information for each process segment.

[0062] like Figure 3 As shown, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above method.

[0063] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.

[0064] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in this application and in the embodiments can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual-speed SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0065] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, apparatus, article, or method. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, apparatus, article, or method that includes that element.

[0066] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for controlling water circulation in a PCB manufacturing process, characterized in that, include: The wastewater parameters generated in each process stage of PCB production are obtained, wherein the wastewater parameters include water quality pollution characteristic parameters and hydraulic characteristic parameters; Based on the water pollution characteristic parameters of each process section, wastewater type identification and pollution parameter association information are obtained. Based on the wastewater type identification and pollution parameter association information, water quality impact information of each process section is obtained. The water quality impact information includes information on major pollutants and the corresponding concentrations of major pollutants. The flow characteristic parameters and equivalent hydraulic residence time are obtained based on the hydraulic characteristic parameters of each process section, and the compensation flow rate of each process section is obtained based on the flow characteristic parameters and the equivalent hydraulic residence time. The high-purity water dilution ratio for each process section is obtained based on the concentration of the main pollutants and the compensation flow rate. The membrane flux decay rate of each process section is obtained based on the high-purity water dilution ratio. The water circulation is graded and controlled according to the membrane flux decay rate of each process segment. The step of obtaining the high-purity water dilution ratio for each process section based on the concentration of the main pollutant and the compensation flow rate includes: Obtain the target concentration within the preset area, and obtain the concentration difference between the target concentration and the main pollutant concentration, and obtain the initial high-purity water dilution ratio value based on the ratio of the concentration difference to the target concentration; The compensation flow is normalized to obtain a normalized compensation flow value; The pollutant sensitivity weight and flow fluctuation weight are obtained based on the concentration of the main pollutants. The high-purity water dilution ratio is obtained based on the initial high-purity water dilution ratio, the compensated flow rate normalization value, the pollutant sensitivity weight, and the flow fluctuation weight. The step of performing water circulation classification control on multiple process sections based on the membrane flux decay rate of each process section includes: The membrane flux decay rate of each process segment was sorted and the process segment with the highest membrane flux decay rate was selected and marked as the critical pollution area. The attenuation rate change gradient and the first flow rate change rate of adjacent process sections are obtained based on the key contamination area. Obtain the second flow rate change rate of the key pollution area in the previous control period, and obtain the average flow rate change rate based on the second flow rate change rate and the first flow rate change rate; Starting from the critical pollution area, multiple distances to the remaining process sections are obtained, and the total water circulation distance is obtained based on the multiple distances. The multiple distances are then compared with the total water circulation distance in turn to obtain multiple distance attenuation coefficients. The first pure water volume is obtained based on the attenuation rate change gradient. The wastewater flow rate of adjacent process sections is obtained based on the average flow rate change rate, and the actual pure water flow rate is obtained based on the first pure water flow rate and the wastewater flow rate. The actual pure water volume is calculated sequentially with multiple distance attenuation coefficients to obtain multiple second pure water volumes; The water circulation of each process section is controlled based on the actual pure water volume and multiple second pure water volumes.

2. The water circulation control method in the PCB manufacturing process according to claim 1, characterized in that, The step of obtaining wastewater type identification and pollution parameter association information based on the water quality pollution characteristic parameters of each process section includes: Based on the water pollution characteristic parameters of each process section, obtain multiple time points and corresponding pollution types continuously collected within a preset collection period, and construct a pollutant correlation matrix based on the multiple time points and corresponding pollution types. Obtain the area of ​​the purification tank corresponding to each process section, and obtain multiple current pH value distribution maps corresponding to the areas of the multiple purification tanks based on pH testing; Based on the multiple current pH value distribution maps, extract the high-percentage pH value regions of each process segment, and obtain the corresponding multiple wastewater type identifiers based on the high-percentage pH value regions of each process segment. The concentration corresponding to each wastewater type identifier is obtained based on the multiple wastewater type identifiers; The concentrations of the identified pollutants are compared sequentially with preset concentration thresholds to obtain multiple pollutant concentration deviation values. Obtain the average concentrations of multiple pollutants corresponding to the multiple labeled concentrations within a preset time period; Multiple pollutant characteristic difference rates are obtained based on multiple pollutant concentration deviation values ​​and multiple pollutant concentration average values. The multiple pollutant characteristic difference rates and multiple pollutant concentration deviations are then weighted and calculated sequentially to obtain multiple comprehensive wastewater pollution indices. Multiple wastewater pollution comprehensive indices are mapped onto the pollutant correlation matrix to obtain multiple mapping relationships between the pollutant correlation matrix and the multiple wastewater pollution comprehensive indices. These multiple mapping relationships are used as pollution parameter association information for each process segment.

3. The water circulation control method in the PCB manufacturing process according to claim 1, characterized in that, The steps of obtaining flow characteristic parameters and equivalent hydraulic residence time based on the hydraulic characteristic parameters of each process section, and obtaining the compensation flow rate of each process section based on the flow characteristic parameters and the equivalent hydraulic residence time, include: Based on the hydraulic characteristic parameters, the basic process parameters, time-varying behavior parameters, and flow regime characteristic parameters of each process section are obtained. Among them, the basic process parameters include the current instantaneous maximum flow rate, average flow rate, and reference fluctuating flow rate. The peak flow ratio is obtained based on the current instantaneous maximum flow and the average flow, and the fluctuation flow coefficient is obtained based on the baseline fluctuation flow and the peak flow ratio; The flow fluctuation frequency and equivalent hydraulic residence time are obtained based on the time-varying behavior parameters, and the pulse intensity factor and the fluctuation flow coefficient are obtained based on the flow fluctuation frequency. The fluctuation compensation coefficient is obtained based on the pulse intensity factor and the fluctuation flow coefficient. The turbulence intensity and flow distribution index are obtained based on the flow characteristic parameters, the water distribution uniformity is obtained based on the flow distribution index, and the flow correction coefficient is obtained based on the water distribution uniformity and turbulence intensity. The compensated flow rate for each process section is obtained based on the baseline fluctuating flow rate, the equivalent hydraulic residence time, the fluctuation compensation coefficient, and the flow regime correction coefficient.

4. The water circulation control method in the PCB manufacturing process according to claim 1, characterized in that, The step of obtaining the membrane flux decay rate of each process section based on the high-purity water dilution ratio includes: The pollutant dilution concentration is obtained based on the high-purity water dilution ratio and the preset measured pollutant concentration; Obtain the preset coefficient of the membrane passage material, and obtain the deposition rate based on the preset coefficient of the membrane passage material and the dilution concentration of the pollutant; Obtain the flux decay coefficient and initial flux of the membrane flux material, and obtain the membrane flux decay rate based on the deposition rate, the flux decay coefficient of the membrane flux material, and the initial flux.

5. A control system for water circulation in a PCB manufacturing process, used to execute the control method for water circulation in a PCB manufacturing process as described in any one of claims 1-4, characterized in that, include: The first acquisition module is used to acquire wastewater parameters generated in each process stage during PCB production, wherein the wastewater parameters include water pollution characteristic parameters and hydraulic characteristic parameters. The second acquisition module is used to acquire wastewater type identifiers and pollution parameter association information based on the water quality pollution characteristic parameters of each process segment, and to acquire water quality impact information of each process segment based on the wastewater type identifiers and pollution parameter association information, wherein the water quality impact information includes information on major pollutants and the corresponding concentrations of major pollutants; The third acquisition module is used to acquire flow characteristic parameters and equivalent hydraulic residence time based on the hydraulic characteristic parameters of each process section, and to acquire the compensation flow of each process section based on the flow characteristic parameters and the equivalent hydraulic residence time. The fourth acquisition module is used to acquire the high-purity water dilution ratio of each process section based on the concentration of the main pollutant and the compensation flow rate. The fifth acquisition module is used to acquire the membrane flux decay rate of each process section according to the high-purity water dilution ratio. The control module is used to perform water circulation classification control on multiple process sections according to the membrane flux decay rate of each process section.

6. A water circulation control system for PCB manufacturing process according to claim 5, characterized in that, The second acquisition module includes: The first acquisition unit is used to acquire multiple time nodes and corresponding pollution types continuously collected within a preset acquisition period based on the water pollution characteristic parameters of each process section, and to construct a pollutant correlation matrix based on the multiple time nodes and corresponding pollution types. The second acquisition unit is used to acquire the area of ​​the purification tank corresponding to each process section, and to acquire multiple current pH value distribution maps corresponding to multiple areas of the purification tank based on pH testing. The third acquisition unit is used to extract the high-percentage pH value region of each process segment based on the multiple current pH value distribution maps, and to obtain the corresponding multiple wastewater type identifiers based on the high-percentage pH value region of each process segment. The fourth acquisition unit is used to acquire the concentration corresponding to each wastewater type identifier based on the plurality of wastewater type identifiers; The comparison unit is used to compare the multiple labeled concentrations sequentially with a preset concentration threshold to obtain multiple pollutant concentration deviation values; The fifth acquisition unit is used to acquire the average concentration of multiple pollutants corresponding to the multiple labeled concentrations within a preset time period; The sixth acquisition unit is used to acquire multiple pollutant characteristic difference rates based on multiple pollutant concentration deviation values ​​and multiple pollutant concentration average values, and to sequentially weight and calculate multiple wastewater pollution comprehensive indices by weighting the multiple pollutant characteristic difference rates and multiple pollutant concentration deviations. The mapping unit is used to map multiple wastewater pollution comprehensive indices into the pollutant correlation matrix to obtain multiple mapping relationships between the pollutant correlation matrix and the multiple wastewater pollution comprehensive indices, and to use the multiple mapping relationships as pollution parameter association information for each process segment.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

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