Control method and control system for water circulation in PCB production process

Abstract

The invention relates to the technical field of PCBs, and particularly discloses a control method and a control system for water circulation in a PCB production process. According to the method, water quality pollution characteristics and hydraulic characteristic parameters of wastewater in each process section of the PCB are acquired to realize accurate identification of wastewater types and quantitative evaluation of pollution degrees, main pollutants and concentrations are determined according to the water quality characteristics, flow parameters and compensation flow are acquired according to the hydraulic characteristics, and the dilution ratio of high-purity water is dynamically calculated by combining the two parameters. The waste of low-concentration wastewater caused by traditional fixed-proportion dilution is avoided, 'on-demand dilution 'is realized to reduce the consumption of high-purity water, then the membrane flux attenuation rate is obtained through the dilution proportion, water circulation hierarchical control is performed on each process section, the problem of too high cost caused by excessive dilution and unified treatment is solved, normal treatment of wastewater is guaranteed, and the wastewater treatment efficiency is improved. Efficiency is improved and cost is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of PCB, in particular to a control method and a control system for water circulation in a PCB production process. BACKGROUND

[0002] A large amount of wastewater is generated in the process of PCB production, and wastewater treatment is an important link for environmental protection and resource recycling. With the increasing strictness of environmental protection standards and the rising cost of water resources, the industry urgently needs to achieve efficient and low-cost wastewater treatment through technological innovation.

[0003] In the process of PCB production, key processes such as pattern transfer and surface metallization (such as etching, electroplating, and developing) require the use of a large amount of chemical agents and water resources, and generate mixed wastewater with complex components. The existing wastewater treatment mode is basically "excessive dilution and unified treatment" of high-purity water, which leads to high consumption of high-purity water after water circulation treatment, resulting in high water circulation treatment costs. A control method for water circulation in a PCB production process is needed to solve the above problems. SUMMARY

[0004] The purpose of the present application is to provide a control method and a control system for water circulation in a PCB production process to solve the technical problems raised in the background art.

[0005] To achieve the above purpose, the present application provides the following technical solutions: A control method for water circulation in a PCB production process, comprising: obtaining wastewater parameters generated in each process section of the PCB production process, wherein the wastewater parameters include water quality pollution characteristic parameters and hydraulic characteristic parameters; obtaining wastewater type identification and pollution parameter correlation information according to the water quality pollution characteristic parameters of each process section, and obtaining water quality influence dominant information of each process section according to the wastewater type identification and pollution parameter correlation information, wherein the water quality influence dominant information includes main pollutant information and corresponding main pollutant concentration; obtaining flow characteristic parameters and equivalent hydraulic retention time according to the hydraulic characteristic parameters of each process section, and obtaining compensation flow of each process section according to the flow characteristic parameters and the equivalent hydraulic retention time; obtaining high-purity water dilution ratio of each process section according to the main pollutant concentration and the compensation flow; obtaining membrane flux decay rate of each process section according to the high-purity water dilution ratio; carrying out water circulation hierarchical control processing on a plurality of process sections according to the membrane flux decay rate of each process section.

[0006] As preferred, the step of obtaining wastewater type identification and pollution parameter correlation information according to the water quality pollution characteristic parameters of each process section comprises: According to the water quality pollution characteristic parameters of each process section, a plurality of time nodes and corresponding pollution types continuously collected within a preset collection period are obtained, and a pollution correlation matrix is constructed according to the plurality of time nodes and corresponding pollution types. The corresponding purification pool area of each process section is obtained, and a plurality of current pH value distribution maps corresponding to a plurality of the purification pool areas are obtained based on pH testing; According to a plurality of the current pH value distribution maps, a high-proportion pH value area of each process section is extracted, and a plurality of wastewater type identifications corresponding to each process section are obtained according to the high-proportion pH value area of each process section; According to a plurality of the wastewater type identifications, an identification concentration corresponding to each wastewater type identification is obtained; A plurality of the identification concentrations are compared with a preset concentration threshold in sequence to obtain a plurality of pollution concentration deviation values; A plurality of pollution concentration means corresponding to a plurality of the identification concentrations within a preset time are obtained; According to a plurality of the pollution concentration deviation values and a plurality of the pollution concentration means, a plurality of pollution characteristic difference rates are obtained, and a plurality of the pollution concentration deviation degrees and a plurality of the pollution characteristic difference rates are sequentially weighted to obtain a plurality of wastewater pollution comprehensive indexes; A plurality of the wastewater pollution comprehensive indexes are mapped into the pollution correlation matrix to obtain a plurality of mapping relationships between the pollution correlation matrix and the plurality of the wastewater pollution comprehensive indexes, and the plurality of the mapping relationships are taken as the pollution parameter correlation information of each process section.

[0007] As preferred, the step of obtaining flow characteristic parameters and equivalent hydraulic retention time according to the hydraulic characteristic parameters of each process section, and obtaining a compensation flow of each process section according to the flow characteristic parameters and the equivalent hydraulic retention time comprises: According to the hydraulic characteristic parameters, a basic flow parameter, a time-varying behavior parameter and a flow state characteristic parameter of each process section are obtained, wherein the basic flow parameter comprises a current instantaneous maximum flow, an average flow and a reference fluctuation flow; According to the current instantaneous maximum flow and the average flow, a peak flow ratio is obtained, and according to the reference fluctuation flow and the peak flow ratio, a fluctuation flow coefficient is obtained; According to the time-varying behavior parameter, a flow fluctuation frequency and an equivalent hydraulic retention time are obtained, according to the flow fluctuation frequency, a pulse intensity factor and the fluctuation flow coefficient are obtained, and according to the pulse intensity factor and the fluctuation flow coefficient, a fluctuation compensation coefficient is obtained; According to the flow state characteristic parameter, the turbulence intensity and the flow state distribution index are obtained, and according to the flow state distribution index, the distribution water uniformity is obtained, and according to the distribution water uniformity and the turbulence intensity, the flow state correction coefficient is obtained; According to the reference fluctuation flow, the equivalent hydraulic retention time, the fluctuation compensation coefficient and the flow state correction coefficient, the compensation flow of each process section is obtained.

[0008] Preferably, the step of obtaining the high-purity water dilution ratio of each process section according to the main pollutant concentration and the compensation flow comprises: The target concentration in the preset area is obtained, the concentration difference between the target concentration and the main pollutant concentration is obtained according to the target concentration and the main pollutant concentration, and the initial high-purity water dilution ratio value is obtained according to the ratio of the concentration difference and the target concentration; The compensation flow is normalized to obtain a compensation flow normalized value; According to the main pollutant concentration, the pollutant sensitivity weight and the flow fluctuation weight are obtained; According to the initial high-purity water dilution ratio value, the compensation flow normalized value, the pollutant sensitivity weight and the flow fluctuation weight, the high-purity water dilution ratio is obtained.

[0009] Preferably, the step of obtaining the membrane flux decay rate of each process section according to the high-purity water dilution ratio comprises: According to the high-purity water dilution ratio and the preset measured pollutant concentration, the pollutant dilution concentration is obtained; A membrane pass material preset coefficient is obtained, and a deposition rate is obtained according to the membrane pass material preset coefficient and the pollutant dilution concentration; A flux decay coefficient of the membrane pass material and an initial flux are obtained, and a membrane flux decay rate is obtained according to the deposition rate, the flux decay coefficient of the membrane pass material and the initial flux.

[0010] Preferably, the step of performing water circulation hierarchical control processing on a plurality of process sections according to the membrane flux decay rate of each process section comprises: The membrane flux decay rate of each process section is sorted and the process section with the largest membrane flux decay rate is screened out, and the process section with the largest membrane flux decay rate is marked as a key pollution area; According to the key pollution area, the attenuation rate change gradient and the first flow rate change rate of the adjacent process section are obtained; The second flow rate change rate of the key pollution area in the last control cycle is obtained, and the average flow rate change rate is obtained according to the second flow rate change rate and the first flow rate change rate; A plurality of distances of the remaining process sections are obtained from the key pollution area, and a total water circulation distance is obtained according to the plurality of distances, and a plurality of distance attenuation coefficients are obtained by comparing the plurality of distances with the total water circulation distance in sequence; A first pure water amount is obtained according to the attenuation rate change gradient; A flowing wastewater amount of an adjacent process section is obtained according to the average flow rate change rate, and an actual pure water amount is obtained according to the first pure water amount and the flowing wastewater amount; A plurality of second pure water amounts are obtained by calculating the actual pure water amount with the plurality of distance attenuation coefficients in sequence; Each process section is controlled according to the actual pure water amount and the plurality of second pure water amounts.

[0011] The application also provides a water circulation control system in a PCB production process, comprising: A first obtaining module is configured to obtain wastewater parameters generated by each process section in the PCB production process, wherein the wastewater parameters include water quality pollution characteristic parameters and hydraulic characteristic parameters; A second obtaining module is configured to obtain wastewater type identification and pollution parameter correlation information according to the water quality pollution characteristic parameters of each process section, and obtain water quality influence dominant information of each process section according to the wastewater type identification and the pollution parameter correlation information, wherein the water quality influence dominant information includes main pollutant information and corresponding main pollutant concentration; A third obtaining module is configured to obtain flow characteristic parameters and equivalent hydraulic retention time according to the hydraulic characteristic parameters of each process section, and obtain compensation flow of each process section according to the flow characteristic parameters and the equivalent hydraulic retention time; A fourth obtaining module is configured to obtain high-purity water dilution ratios of each process section according to the main pollutant concentration and the compensation flow; A fifth obtaining module is configured to obtain membrane flux attenuation rates of each process section according to the high-purity water dilution ratios; A control module is configured to perform water circulation hierarchical control processing on a plurality of the process sections according to the membrane flux attenuation rates of each process section.

[0012] Preferably, the second obtaining module comprises: A first obtaining unit is configured to obtain a plurality of time nodes and corresponding pollution types continuously collected in a preset collection period according to the water quality pollution characteristic parameters of each process section, and construct a pollutant correlation matrix according to the plurality of time nodes and the corresponding pollution types; A second obtaining unit is configured to obtain corresponding purification tank areas of each process section, and obtain a plurality of current pH value distribution maps corresponding to the plurality of purification tank areas based on pH testing; The third acquisition unit is configured to extract a high-occupancy pH value region of each process section according to the plurality of current pH value distribution maps, and acquire a plurality of wastewater type identifiers according to the high-occupancy pH value region of each process section; The fourth acquisition unit is configured to acquire an identifier concentration corresponding to each wastewater type identifier according to the plurality of wastewater type identifiers; The comparison unit is configured to compare the plurality of identifier concentrations with a preset concentration threshold value in sequence to obtain a plurality of pollutant concentration deviation values; The fifth acquisition unit is configured to acquire a plurality of pollutant concentration averages corresponding to the plurality of identifier concentrations within a preset time; The sixth acquisition unit is configured to acquire a plurality of pollutant characteristic difference rates according to the plurality of pollutant concentration deviation values and the plurality of pollutant concentration averages, and sequentially perform weighted calculation on the plurality of pollutant characteristic difference rates and the plurality of pollutant concentration deviation degrees to obtain a plurality of wastewater pollution comprehensive indexes; The mapping unit is configured to map the plurality of wastewater pollution comprehensive indexes into the pollutant correlation matrix to obtain a plurality of mapping relationships between the pollutant correlation matrix and the plurality of wastewater pollution comprehensive indexes, and take the plurality of mapping relationships as the pollution parameter correlation information of each process section.

[0013] The application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0014] The application further provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the steps of the above method.

[0015] The application has the following beneficial effects: The application realizes accurate identification of wastewater types and quantitative evaluation of pollution levels by acquiring water quality pollution characteristics and hydraulic characteristic parameters of wastewater of each process section of a PCB. The main pollutants and concentrations are determined according to the water quality characteristics, the flow parameters and compensation flow are acquired according to the hydraulic characteristics, the high-purity water dilution ratio is dynamically calculated in combination of the two, the waste of low-concentration wastewater caused by traditional fixed-proportion dilution is avoided, the “on-demand dilution” is realized to reduce the consumption of high-purity water. The membrane flux attenuation rate is obtained through the dilution ratio, the water circulation is controlled in stages according to the process sections, the problem of high cost caused by excessive dilution and unified treatment is solved, the normal treatment of wastewater is ensured, the efficiency is improved, and the cost is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 FIG. 1 is a method flowchart of an embodiment of the application.

[0017] Figure 2 FIG. 2 is a system structure diagram of an embodiment of the application.

[0018] Figure 3 Fig. 1 is a schematic diagram of the internal structure of a computer device according to an embodiment of the present application.

[0019] The implementation, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0020] It should be understood that the specific embodiments described herein are merely exemplary and are not intended to limit the present application.

[0021] As shown in Figure 1 The present application provides a control method for water circulation in PCB production process, comprising: S1, obtaining wastewater parameters generated in each process section in the PCB production process, wherein the wastewater parameters include water quality pollution characteristic parameters and hydraulic characteristic parameters; S2, obtaining wastewater type identification and pollution parameter correlation information according to the water quality pollution characteristic parameters of each process section, and obtaining water quality influence dominant information of each process section according to the wastewater type identification and pollution parameter correlation information, wherein the water quality influence dominant information includes main pollutant information and corresponding main pollutant concentration; S3, obtaining flow characteristic parameters and equivalent hydraulic retention time according to the hydraulic characteristic parameters of each process section, and obtaining compensation flow of each process section according to the flow characteristic parameters and the equivalent hydraulic retention time; S4, obtaining high-purity water dilution ratio of each process section according to the main pollutant concentration and the compensation flow; S5, obtaining membrane flux decay rate of each process section according to the high-purity water dilution ratio; S6, performing water circulation hierarchical control processing on a plurality of process sections according to the membrane flux decay rate of each process section.

[0022] As described above in steps S1-S6, since the existing wastewater is usually treated by high-purity water "excessive dilution and unified treatment" mode when classified and processed, the high-purity water consumption after water circulation treatment is too high, which brings huge water circulation treatment cost. The present application first obtains wastewater parameters of multiple regions generated in each process section in the PCB production process, wherein the wastewater parameters include water quality pollution characteristic parameters and hydraulic characteristic parameters, and performs multi-dimensional analysis on wastewater through water quality pollution characteristic parameters and hydraulic characteristic parameters, so as to realize accurate identification of wastewater type and quantitative evaluation of pollution degree. The method can dynamically adjust high-purity water dilution ratio and treatment strategy according to the characteristics of wastewater in different regions.

[0023] Secondly, according to the water quality pollution characteristic parameters of each process section, the wastewater type identification and pollution parameter correlation information are obtained, and the water quality influence dominant information of each process section is obtained according to the wastewater type identification and pollution parameter correlation information, wherein the water quality influence dominant information includes main pollutant information and corresponding main pollutant concentration, so that the dominant types of pollutants of PCB wastewater in each process section are significantly different (such as alkaline organic matter in developing wastewater and heavy metals in etching wastewater), and the "main pollutants and concentration" are the premise of subsequent accurate treatment.

[0024] Then, according to the hydraulic characteristic parameters of each process section, the flow characteristic parameters and equivalent hydraulic retention time are obtained, and the compensation flow of each process section is obtained according to the flow characteristic parameters and the equivalent hydraulic retention time, so that whether the use of high-purity water suddenly increases is judged by the instantaneous flow change rate, and at the same time, the pool water level is prevented from being over-limit or the treatment time is insufficient due to flow fluctuation, so that the hydraulic characteristics can directly affect the treatment effect, for example, sudden increase of flow may lead to insufficient residence time of wastewater in the treatment pool, and the pollutants are not fully reacted; uneven flow state may lead to excessive local pollutant concentration, exceeding the treatment capacity. The role of compensation flow is to "dynamically adjust the inflow / outflow of the treatment system", to ensure the stability of the treatment conditions.

[0025] Next, according to the main pollutant concentration and the compensation flow, the high-purity water dilution ratio of each process section is obtained, wherein 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, but excessive dilution will lead to waste of high-purity water, and insufficient dilution will not be able to dilute, and the dilution ratio needs to match "pollutant concentration" and "flow fluctuation" at the same time, for example, high-concentration pollutants require higher dilution ratio, and when the flow fluctuation is large, the ratio needs to be appropriately increased to reserve 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 technology, which causes great waste of low-concentration wastewater, and through dynamic calculation, "on-demand dilution" is realized, which significantly reduces the consumption of high-purity water.

[0026] According to the high-purity water dilution ratio, the membrane flux decay rate of each process section is obtained, wherein membrane filtration is the core link of PCB wastewater advanced treatment, and the membrane flux decay rate directly determines the service life and treatment efficiency of the membrane, the faster the decay, the more frequent the membrane needs to be cleaned or replaced, and the higher the cost. The decay rate is positively correlated with the pollutant concentration (the higher the concentration, the faster the deposition), therefore, the dilution ratio needs to be associated with the calculation, so that the wastewater can be normally treated in the production process of PCB According to the membrane flux decay rate of each process section, the multiple process sections are subjected to water circulation grading control processing, wherein different process sections have different "load effects" on the water circulation system, and the key pollution area is the core factor leading to the decline of the overall treatment efficiency. The essence of grading control is to "concentrate resources to solve major contradictions first", and under the premise of ensuring the overall treatment to meet the standard, the energy consumption and material cost are maximized. Therefore, by using the membrane flux decay rate, the main contradictions can be solved, and by using the membrane flux decay rate, the wastewater generated in the production process of each process section is subjected to fine control of the high-purity water quantity, so as to avoid the "excessive dilution and unified treatment" mode of high-purity water, which leads to high consumption of high-purity water and increases the cost of water circulation treatment.

[0027] In one embodiment, the step S2 of obtaining wastewater type identification and pollution parameter correlation information according to the water quality pollution characteristic parameters of each process section comprises: S201, obtaining multiple time nodes and corresponding pollution types continuously collected in a preset collection period according to the water quality pollution characteristic parameters of each process section, and constructing a pollution correlation matrix according to the multiple time nodes and corresponding pollution types; S202, obtaining the corresponding purification pool area of each process section, and obtaining multiple current pH value distribution maps corresponding to the multiple purification pool areas based on pH testing; S203, extracting a high-proportion pH value area of each process section according to multiple current pH value distribution maps, and obtaining corresponding multiple wastewater type identifications according to the high-proportion pH value area of each process section; S204, obtaining an identification concentration corresponding to each wastewater type identification according to multiple wastewater type identifications; S205, comparing multiple identification concentrations with a preset concentration threshold value in sequence to obtain multiple pollution concentration deviation values; S206, obtaining multiple pollution concentration means corresponding to multiple identification concentrations within a preset time; S207, obtaining multiple pollution characteristic difference rates according to multiple pollution concentration deviation values and multiple pollution concentration means, and sequentially performing weighted calculation on multiple pollution characteristic difference rates and multiple pollution concentration deviation degrees to obtain multiple wastewater pollution comprehensive indexes; S208, mapping multiple wastewater pollution comprehensive indexes to the pollution correlation matrix to obtain multiple mapping relationships between the pollution correlation matrix and multiple wastewater pollution comprehensive indexes, and taking multiple mapping relationships as pollution parameter correlation information of each process section.

[0028] As described in steps S201-S208, since the pollutant release of PCB production wastewater has time fluctuation (such as periodic change of pollutant concentration caused by intermittent dosing in etching process), the present application first acquires a plurality of time nodes and corresponding pollution types continuously collected in a preset collection period according to the water quality pollution characteristic parameters of each process section, and constructs a pollutant correlation matrix according to the time nodes and corresponding pollution types, wherein the matrix construction: taking time nodes as rows and pollution types as columns to form a pollutant correlation matrix, so that the correlation law of pollution types at different time nodes can be intuitively reflected through the matrix, avoiding the "accidental error" caused by single time point detection, and compared with the traditional "single point sampling", the matrix can capture the cooperative change characteristics of pollutants with time (such as synchronous release of heavy metals and organic matter), providing a time dimension basis for subsequent pollution parameter correlation.

[0029] The corresponding purification pond area of each process section is acquired, and a plurality of current pH value distribution maps corresponding to the plurality of purification pond areas are acquired based on pH testing, wherein the implementation process of the purification pond area: the purification pond is scanned by a corresponding sensor array (arranged according to a corresponding 2m×2m corresponding distance) corresponding to pH, and the pH value distribution map is generated: a plurality of corresponding pH values (such as 25 detection point data of a corresponding 50㎡ pond body) obtained by scanning are mapped according to spatial position to generate a current pH value distribution map (such as marking an acidic region with pH<4 and an alkaline region with pH>10 with different colors), and the pH value is a core index reflecting the acid-base property of wastewater, and the wastewater of the same process section may have spatial distribution difference in the purification pond due to uneven mixing (such as local low pH valley formed by the acid wastewater just discharged and the residual alkaline wastewater in the pond not being completely mixed), and the pH value of a single detection point cannot represent the overall water quality characteristics, and the global pH distribution scanning can avoid the one-sidedness of "single point pH detection", and provide spatial dimension data support for subsequent accurate identification of acid-base type of wastewater.

[0030] Then, a high-occupancy pH value area of each process section is extracted according to the plurality of current pH value distribution maps, and a plurality of wastewater type identifiers are obtained according to the high-occupancy pH value area of each process section. The high-occupancy pH value area is to calculate the area occupancy of each pH interval (such as pH<4, 4≤pH≤6, 7≤pH≤9, pH>10), and the area with the highest occupancy is selected. The acid-base type of wastewater directly determines the subsequent treatment process (such as neutralization treatment for acidic wastewater and acidification adjustment for alkaline wastewater). The high-occupancy pH area can reflect the "main properties" of the wastewater, avoiding misjudgment of the type due to local outliers (such as accidentally mixed acid-base waste liquid). At the same time, the type is determined by "space occupancy", which significantly improves the accuracy of wastewater type identification.

[0031] According to the plurality of wastewater type identifiers, an identification concentration corresponding to each wastewater type identifier is obtained, and the wastewater concentration can be detected by a corresponding detection device (such as ion chromatograph to measure H+ concentration and atomic absorption spectrometer to measure copper ion concentration). In this way, the "type identification" and "specific concentration" are bound, providing a "qualitative + quantitative" double basis for subsequent pollution parameter association, which can provide convenience for subsequent data processing.

[0032] The plurality of identification concentrations are compared with a preset concentration threshold in sequence to obtain a plurality of pollutant concentration deviation values. The calculation process of the plurality of pollutant concentration deviation values is to subtract the preset concentration threshold from the plurality of identification concentrations in sequence, and the deviation value directly reflects the gap between the current pollution concentration and the target control value, which is a basic index for judging "whether intensive treatment is needed" (such as a positive and larger deviation value indicating more serious over-standard and requiring a higher dilution ratio). Then, by quantifying the deviation degree, the traditional "over-standard / under-standard" binary judgment can be avoided, and a quantitative basis is provided for subsequent precise control.

[0033] A plurality of pollutant concentration averages corresponding to the plurality of identification concentrations within a preset time are obtained. In this way, the average reflects the long-term stable level of the pollutant, avoiding excessive treatment caused by instantaneous fluctuations (such as short-term peak values during liquid change).

[0034] At the same time, a plurality of pollutant feature difference rates are obtained according to the plurality of pollutant concentration deviation values and the plurality of pollutant concentration averages. The calculation formula is: wherein A n is the first n pollutant feature difference rates, d(q) n is the first n pollutant concentration deviation values, j(z) nThe average concentration of the first n pollutants is calculated, where n is the serial number, n = 1, 2, 3... n, and the plurality of pollution characteristic difference rates and the plurality of pollution concentration deviation degrees are sequentially weighted to obtain a plurality of wastewater pollution comprehensive indexes, wherein the deviation degree directly determines "whether to meet the standard" and is the bottom line requirement; the difference rate reflects "stability risk" and affects the service life of the treatment system. Therefore, the weight of the pollution concentration deviation degree is greater than that of the pollution characteristic difference rate, and the sum of the weights of the two is 1.

[0035] Finally, the plurality of wastewater pollution comprehensive indexes are mapped into the pollution correlation matrix to obtain a plurality of mapping relationships between the pollution correlation matrix and the plurality of wastewater pollution comprehensive indexes, and the plurality of mapping relationships are used as the pollution parameter correlation information of each process section. In this way, the correlation information binds the "pollution time correlation law" and the "pollution degree quantization index", and can directly identify "high-risk associated pollutants". At the same time, a complete pollution characteristic database is formed, which provides a direct basis for subsequent acquisition of "main pollutants and concentrations" (water quality influence dominant information).

[0036] In one embodiment, the step S3 of obtaining the flow characteristic parameter and the equivalent hydraulic retention time according to the hydraulic characteristic parameter of each process section, and obtaining the compensation flow of each process section according to the flow characteristic parameter and the equivalent hydraulic retention time, comprises: S301, obtaining the basic flow parameter, time-varying behavior parameter and flow state characteristic parameter of each process section according to the hydraulic characteristic parameter, wherein the basic flow parameter includes the current instantaneous maximum flow, average flow and reference fluctuation flow, so that; S302, obtaining the peak flow ratio according to the current instantaneous maximum flow and the average flow, and obtaining the fluctuation flow coefficient according to the reference fluctuation flow and the peak flow ratio; S303, obtaining the flow fluctuation frequency and the equivalent hydraulic retention time according to the time-varying behavior parameter, and obtaining the pulse intensity factor and the fluctuation flow coefficient according to the flow fluctuation frequency, and obtaining the fluctuation compensation coefficient according to the pulse intensity factor and the fluctuation flow coefficient; S304, obtaining the turbulence intensity and the flow state distribution index according to the flow state characteristic parameter, and obtaining the distribution water uniformity according to the flow state distribution index, and obtaining the flow state correction coefficient according to the distribution water uniformity and the turbulence intensity; S305, obtaining the compensation flow of each process section according to the reference fluctuation flow, the equivalent hydraulic retention time, the fluctuation compensation coefficient and the flow state correction coefficient.

[0037] As described in steps S301-S305, the application first obtains the basic flow parameters, time-varying behavior parameters, and flow state characteristic parameters of each process section according to the hydraulic characteristic parameters, wherein the basic flow parameters include the current instantaneous maximum flow, average flow, and reference fluctuation flow, the time-varying behavior parameters reflect the change characteristics of the flow over time, including the flow fluctuation frequency (the number of times the flow exceeds the reference range per unit time, such as 3 times per hour), the equivalent hydraulic retention time (the actual effective retention time of wastewater in the purification tank, such as tank capacity 100 m³ ÷ average flow 25 m³ / h = 4 h), and the flow state characteristic parameters reflect the water flow motion state, including the turbulence intensity (the degree of fluctuation of water flow velocity, calculated by the standard deviation of the velocity detected by the flowmeter), and the flow state distribution index (water flow uniformity index, such as 0-1, 1 indicating complete uniformity). The hydraulic characteristic is a multi-dimensional concept, the basic parameters reflect the flow scale, the time-varying parameters reflect the time fluctuation, and the flow state parameters reflect the spatial distribution, which together determine the "motion trajectory and reaction conditions" of wastewater in the treatment system and provide a basis for subsequent data acquisition.

[0038] According to the current instantaneous maximum flow and the average flow, the peak flow ratio is obtained, and according to the reference fluctuation flow and the peak flow ratio, the fluctuation flow coefficient is obtained, wherein the peak flow ratio = current instantaneous maximum flow / average flow, and the fluctuation flow coefficient = reference fluctuation flow*peak flow ratio. The peak flow ratio reflects the "gap between extreme flow and normal flow", and the fluctuation flow coefficient further combines this gap with daily fluctuations to reflect the "regular + extreme" flow fluctuation amplitude that the system needs to cope with.

[0039] According to the time-varying behavior parameters, the flow fluctuation frequency and the equivalent hydraulic retention time are obtained, and according to the flow fluctuation frequency, the pulse intensity factor and the fluctuation flow coefficient are obtained, and according to the pulse intensity factor and the fluctuation flow coefficient, the fluctuation compensation coefficient is obtained, wherein the pulse intensity factor = 1 + 0.1*flow fluctuation frequency, and the fluctuation compensation coefficient = pulse intensity factor*fluctuation flow coefficient. In addition to amplitude differences, flow fluctuations also have frequency differences (such as high-frequency small-amplitude fluctuations are more likely to cause system fatigue than low-frequency large-amplitude fluctuations). The fluctuation compensation coefficient is calculated by coupling "frequency x amplitude" to quantify the comprehensive interference of such dynamic fluctuations on the treatment system.

[0040] According to the flow state characteristic parameter, the turbulence intensity and the flow state distribution index are obtained, and according to the flow state distribution index, the distribution water uniformity is obtained, and according to the distribution water uniformity and the turbulence intensity, the flow state correction coefficient is obtained, wherein the distribution water uniformity reflects the uniformity of water distribution in the purification tank, and is positively correlated with the flow state distribution index, so the distribution water uniformity is equal to the flow state distribution index, and the flow state correction coefficient: comprehensively considers the influence of turbulence intensity and uniformity, the higher the turbulence intensity and the better the uniformity, the smaller the correction coefficient (the better the flow state, the less the compensation is needed), the flow state correction coefficient = 1 ÷ (turbulence intensity × distribution water uniformity), secondly, uneven flow state (such as local water flow too fast or stagnant) will lead to insufficient contact between pollutants and treatment agents, reducing the reaction efficiency, and the flow state correction coefficient quantifies the degree of unevenness to determine the additional flow required to improve the mixing effect, and also provides stable hydraulic basic data for realizing accurate regulation of the hydraulic conditions of each process section.

[0041] According to the reference fluctuation flow, the equivalent hydraulic retention time, the fluctuation compensation coefficient and the flow state correction coefficient, the compensation flow of each process section is obtained, wherein the compensation flow is the additional flow value (such as increasing the inflow or circulating flow) that needs to be regulated, to ensure that the high-purity water during actual treatment can meet the water circulation dilution requirement, wherein the compensation flow = reference fluctuation flow + (fluctuation compensation coefficient × flow state correction coefficient) ÷ equivalent hydraulic retention time.

[0042] In one embodiment, the step S4 of obtaining the high-purity water dilution ratio of each process section according to the main pollutant concentration and the compensation flow comprises: S401, obtaining the target concentration in the preset area, and obtaining the concentration difference between the target concentration and the main pollutant concentration according to the target concentration and the main pollutant concentration, and obtaining the initial high-purity water dilution ratio value according to the ratio of the concentration difference and the target concentration; S402, normalizing the compensation flow to obtain a compensation flow normalized value; S403, obtaining a pollutant sensitivity weight and a flow fluctuation weight according to the main pollutant concentration; S404, obtaining the high-purity water dilution ratio according to the initial high-purity water dilution ratio value, the compensation flow normalized 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 fluctuation weight. The calculation formula is: High-purity water dilution ratio = Initial high-purity water dilution ratio × (Pollutant sensitivity weight + Flow 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 fluctuation is large, the dilution ratio is increased to enhance treatment; conversely, it is decreased 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, obtaining a pollutant dilution concentration according to the high-purity water dilution ratio and a preset measured pollutant concentration; S502, obtaining a membrane flux material preset coefficient, and obtaining a deposition rate according to the membrane flux material preset coefficient and the pollutant dilution concentration; S503, obtaining a flux decay coefficient and an initial flux of the membrane flux material, and obtaining a membrane flux decay rate according to the deposition rate, the flux decay coefficient of the membrane flux material, and the initial flux.

[0048] As described in steps S501-S503, the application first obtains a pollutant effective concentration according to the high-purity water dilution ratio and a preset measured pollutant concentration, wherein the pollutant effective concentration = measured pollutant concentration / (1 + high-purity water dilution ratio). The measured pollutant concentration is obtained by directly sampling and detecting the wastewater generated in each process section. Specifically, for wastewater in different process sections (such as etching, electroplating, and developing), professional detection equipment and technology (such as ion chromatograph and atomic absorption spectrometer) are used to measure the pollutant concentration in the water sample. In this way, the dilution ratio and the pollution concentration are dynamically coupled to avoid "insufficient dilution leading to increased pollution" or "excessive dilution wasting resources". At the same time, if the dilution ratio is adjusted (such as due to flow fluctuation or change in pollution concentration), the effective concentration is updated in real time to ensure that the membrane flux calculation is always based on the current real working condition.

[0049] A membrane flux material preset coefficient is obtained, and a deposition rate is obtained according to the membrane flux material preset coefficient and the pollutant effective concentration. In this way, the deposition rate reflects the attachment speed of the pollutant on the membrane surface. The deposition rate = membrane flux material preset coefficient x pollutant effective concentration, which can quantify the pollution process and avoid errors caused by experience. The membrane material preset coefficient can be adjusted according to the type of membrane (such as ultrafiltration and reverse osmosis) and the material (such as polyamide and cellulose acetate), which improves the universality of the model. For example, the reverse osmosis membrane has a higher rejection rate for heavy metals, and the membrane flux material preset coefficient is usually greater than that of the ultrafiltration membrane. In this way, the deposition rate can quantify the attachment speed of the pollutant on the membrane surface, and the membrane pollution process can be predicted to adjust the throughput of high-purity water to avoid delays in wastewater dilution due to membrane pollution. The membrane is a component in the filtration preset interval, which is intended to separate pollutants in wastewater and purify water. Adjusting the high-purity water volume through the membrane flux decay rate can optimize the adjustment of the pure water in the preset interval, and also reduces the replacement of the membrane (so that the membrane is not replaced when the membrane flux decay rate is reduced, and the membrane and the high-purity water volume are optimally adjusted at the same time).

[0050] In one embodiment, the step S6 of performing water circulation grading control processing on a plurality of process sections according to the membrane flux decay rate of each process section comprises: S601, sort the membrane flux attenuation rates of each process section and select the process section with the largest membrane flux attenuation rate as the key pollution area, and mark the process section with the largest membrane flux attenuation rate as the key pollution area; S602, obtain the attenuation rate change gradient and the first flow rate change rate of the adjacent process section according to the key pollution area; S603, obtain the second flow rate change rate of the key pollution area in the last control cycle, and obtain the average flow rate change rate according to the second flow rate change rate and the first flow rate change rate; S604, obtain a plurality of distances of the remaining process sections from the key pollution area as a starting point, obtain a total water circulation distance according to the plurality of distances, and obtain a plurality of distance attenuation coefficients by comparing the plurality of distances with the total water circulation distance in turn; S605, obtain the first pure water amount according to the attenuation rate change gradient; S606, obtain the amount of wastewater flowing through the adjacent process section according to the average flow rate change rate, and obtain the actual pure water amount according to the first pure water amount and the amount of wastewater flowing through the adjacent process section; S607, calculate the plurality of second pure water amounts by comparing the actual pure water amount with the plurality of distance attenuation coefficients in turn; S608, control the water circulation of each process section according to the actual pure water amount and the plurality of second pure water amounts.

[0051] As described in steps S601-S608, the membrane flux attenuation rates of each process section are sorted and the process section with the largest membrane flux attenuation rate is selected as the key pollution area, so that high-purity water can be preferentially allocated to avoid rapid pollution of the entire water circulation treatment, and the important area can be preferentially treated from the key pollution area as a starting point.

[0052] The attenuation 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), and the first flow rate change rate reflects the dilution ability of the current flow to the key pollution area (the larger the flow, the faster the diffusion of pollutants and the faster the dilution), which also provides a quantitative basis for the subsequent adjustment of the pure water amount.

[0053] Obtaining the second flow rate change rate of the key pollution area in the last control cycle, and obtaining the average flow rate change rate according to the second flow rate change rate and the first flow rate change rate, and the flow rate change in a single cycle may exist accidentally (such as instantaneous equipment drainage), and after averaging, the long-term flow trend can be reflected, and the pure water amount can be adjusted to avoid short-term fluctuations., secondly, it can also make the evaluation of the influence of flow on pollution diffusion more stable.

[0054] Then, a plurality of distances of the remaining process sections are obtained from the key pollution area, and a total water circulation distance is obtained according to the plurality of distances, and a plurality of distance attenuation coefficients are obtained by comparing the plurality of distances with the total water circulation distance in turn. When the pollutants diffuse with the water flow, the farther the distance, the more obvious the concentration attenuation, and then the concentration attenuation degree can be quantified through the plurality of distance attenuation coefficients, and a spatial basis is provided for subsequent pure water amount allocation.

[0055] At the same time, the first pure water amount is obtained according to the attenuation rate change gradient, and the specific obtaining process is: first, the key pollution area pure water amount of the key pollution area is obtained, and then the first pure water amount is obtained according to the key pollution area pure water amount and the attenuation rate change gradient, wherein the calculation formula is: ; Wherein Q is the first pure water amount, G(s) is the key pollution area pure water amount, γ is a preset compensation coefficient, and ε is the attenuation rate change gradient.

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

[0057] Then, the wastewater flow through the adjacent process section is obtained according to the average flow rate change rate, and the actual pure water amount is obtained according to the first pure water amount and the wastewater flow, and the process of obtaining the actual pure water amount is: the first pure water amount is subtracted from the wastewater flow, which can accurately dilute the wastewater generated by the PCB through the actual pure water amount.

[0058] Because the farther away from the key pollution area, the weaker the pollution influence, and the required pure water amount is reduced in proportion, therefore, the actual pure water amount needs to be calculated with the plurality of distance attenuation coefficients in turn to obtain a plurality of second pure water amounts, which can avoid excessive water consumption of the far adjacent section and reduce the overall high-purity water consumption.

[0059] In PCB production, the wastewater from different process sections (such as etching, developing, and rinsing) has different degrees of pollution to the membrane system, and the membrane flux decay rate directly reflects the speed of membrane pollution (the faster the decay, the more obvious the decline in membrane filtration efficiency, and the more frequent the cleaning or replacement). Due to the spatial diffusion (such as high-concentration pollutants in the key pollution area will diffuse to adjacent process sections with water flow) and flow fluctuation (flow changes will change the diffusion speed of pollutants) of wastewater in the water circulation system, if a unified water circulation control strategy is adopted for all process sections, it will lead to "insufficient treatment of key areas (rapid membrane failure)" or "excessive water use in non-key areas (cost waste)". Therefore, according to the actual pure water quantity and the plurality of second pure water quantities, the water circulation of each process section is controlled, so that the treatment resources can be accurately allocated according to the difference in pollution impact through hierarchical control.

[0060] As shown in Figure 2 The application also provides a water circulation control system in a PCB production process, comprising: A first acquisition module is configured to acquire wastewater parameters generated by each process section in the PCB production process, wherein the wastewater parameters include water quality pollution characteristic parameters and hydraulic characteristic parameters; A second acquisition module is configured to acquire wastewater type identifiers and pollution parameter correlation information according to the water quality pollution characteristic parameters of each process section, and to acquire water quality impact dominant information of each process section according to the wastewater type identifiers and the pollution parameter correlation information, wherein the water quality impact dominant information includes main pollutant information and corresponding main pollutant concentrations; A third acquisition module is configured to acquire flow characteristic parameters and equivalent hydraulic retention times according to the hydraulic characteristic parameters of each process section, and to acquire compensation flows of each process section according to the flow characteristic parameters and the equivalent hydraulic retention times; A fourth acquisition module is configured to acquire high-purity water dilution ratios of each process section according to the main pollutant concentrations and the compensation flows; A fifth acquisition module is configured to acquire membrane flux decay rates of each process section according to the high-purity water dilution ratios; A control module is configured to perform hierarchical control processing of water circulation on a plurality of process sections according to the membrane flux decay rates of each process section.

[0061] In one embodiment, the second acquisition module comprises: A first acquisition unit is configured to acquire a plurality of time nodes and corresponding pollution types continuously collected within a preset acquisition period according to the water quality pollution characteristic parameters of each process section, and to construct a pollutant correlation matrix according to the plurality of time nodes and the corresponding pollution types. The second acquisition unit is configured to acquire the purification pond area corresponding to each process section, and acquire a plurality of current pH value distribution maps corresponding to the plurality of purification pond areas based on pH testing; The third acquisition unit is configured to extract a high-proportion pH value region of each process section according to the plurality of current pH value distribution maps, and acquire a plurality of wastewater type identifiers corresponding to the high-proportion pH value region of each process section. The fourth acquisition unit is configured to acquire an identifier concentration corresponding to each wastewater type identifier according to the plurality of wastewater type identifiers. The comparison unit is configured to sequentially compare the plurality of identifier concentrations with a preset concentration threshold to obtain a plurality of pollutant concentration deviation values. The fifth acquisition unit is configured to acquire a plurality of pollutant concentration averages corresponding to the plurality of identifier concentrations within a preset time. The sixth acquisition unit is configured to acquire a plurality of pollutant characteristic difference rates according to the plurality of pollutant concentration deviation values and the plurality of pollutant concentration averages, and sequentially perform weighted calculation on the plurality of pollutant characteristic difference rates and the plurality of pollutant concentration deviation values to obtain a plurality of wastewater pollution comprehensive indexes. The mapping unit is configured to map the plurality of wastewater pollution comprehensive indexes into the pollutant correlation matrix to obtain a plurality of mapping relationships between the pollutant correlation matrix and the plurality of wastewater pollution comprehensive indexes, and take the plurality of mapping relationships as the pollution parameter correlation information of each process section.

[0062] As shown in Figure 3 The present application also provides a computer device, which comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0063] The present application also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the above method.

[0064] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiment methods can be included. Any reference to memory, storage, databases, or other media in this application and in examples used herein, unless specifically stated otherwise, 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. As an illustration but not limitation, RAM is available in many forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct RAM bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0065] It should be noted that in this document, the terms "comprising", "including", or any other variant thereof are intended to cover a non-exclusive inclusion, such that a process, device, article, or method that comprises a list of elements does not only include those elements, but can also include other elements not expressly listed or inherent to such process, device, article, or method. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, device, article, or method that includes the element.

[0066] The above description is only the preferred embodiment of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation, or direct or indirect application in other related technical fields, based on the content of the present application specification and drawings, is also included in the patent protection scope of the present application.

Claims

1. A method of controlling water circulation in a PCB production process, characterized by, The method comprises the following steps: acquiring wastewater parameters generated in each process section of a PCB production process, wherein the wastewater parameters include water quality pollution characteristic parameters and hydraulic characteristic parameters; acquiring wastewater type identifiers and pollution parameter correlation information according to the water quality pollution characteristic parameters of each process section, and acquiring water quality influence dominant information of each process section according to the wastewater type identifiers and pollution parameter correlation information, wherein the water quality influence dominant information includes main pollutant information and corresponding main pollutant concentrations; acquiring flow characteristic parameters and equivalent hydraulic retention times according to the hydraulic characteristic parameters of each process section, and acquiring compensation flows of each process section according to the flow characteristic parameters and the equivalent hydraulic retention times; acquiring high-purity water dilution ratios of each process section according to the main pollutant concentrations and the compensation flows; acquiring membrane flux decay rates of each process section according to the high-purity water dilution ratios; performing water circulation grading control processing on multiple process sections according to the membrane flux decay rates of each process section.

2. The method of claim 1, wherein the PCB production process is a process of producing a PCB by using a semi-additive method. The step of acquiring wastewater type identifiers and pollution parameter correlation information according to the water quality pollution characteristic parameters of each process section comprises the following steps: acquiring multiple time nodes and corresponding pollution types continuously collected in a preset collection period according to the water quality pollution characteristic parameters of each process section, and constructing a pollutant correlation matrix according to the multiple time nodes and corresponding pollution types; acquiring corresponding purification pond areas of each process section, and acquiring multiple current pH value distribution maps corresponding to the multiple purification pond areas based on pH testing; extracting high-proportion pH value regions of each process section according to the multiple current pH value distribution maps, and acquiring corresponding multiple wastewater type identifiers according to the high-proportion pH value regions of each process section; acquiring an identifier concentration corresponding to each wastewater type identifier according to the multiple wastewater type identifiers; comparing the multiple identifier concentrations with a preset concentration threshold value in sequence to obtain multiple pollutant concentration deviation values; acquiring multiple pollutant concentration means corresponding to the multiple identifier concentrations within a preset time; acquiring multiple pollutant characteristic difference rates according to the multiple pollutant concentration deviation values and the multiple pollutant concentration means, and performing weighted calculation on the multiple pollutant characteristic difference rates and the multiple pollutant concentration deviation values in sequence to obtain multiple wastewater pollution comprehensive indexes; mapping the multiple wastewater pollution comprehensive indexes to the pollutant correlation matrix to obtain multiple mapping relationships between the pollutant correlation matrix and the multiple wastewater pollution comprehensive indexes, and taking the multiple mapping relationships as the pollution parameter correlation information of each process section.

3. The method of claim 1, wherein the PCB production process is a process of producing a PCB by using a semi-additive process. The step of acquiring flow characteristic parameters and equivalent hydraulic retention times according to the hydraulic characteristic parameters of each process section, and acquiring compensation flows of each process section according to the flow characteristic parameters and the equivalent hydraulic retention times comprises the following steps: acquiring basic flow parameters, time-varying behavior parameters and flow state characteristic parameters of each process section according to the hydraulic characteristic parameters, wherein the basic flow parameters include a current instantaneous maximum flow, an average flow and a benchmark fluctuation flow; According to the current instantaneous maximum flow and the average flow, a peak flow ratio is obtained, and according to the reference fluctuation flow and the peak flow ratio, a fluctuation flow coefficient is obtained; According to the time-varying behavior parameter, a flow fluctuation frequency and an equivalent hydraulic retention time are obtained, and according to the flow fluctuation frequency, a pulse intensity factor and the fluctuation flow coefficient are obtained, and according to the pulse intensity factor and the fluctuation flow coefficient, a fluctuation compensation coefficient is obtained; According to the flow state characteristic parameter, a turbulent intensity and a flow state distribution index are obtained, and according to the flow state distribution index, a distribution water uniformity is obtained, and according to the distribution water uniformity and the turbulent intensity, a flow state correction coefficient is obtained; According to the reference fluctuation flow, the equivalent hydraulic retention time, the fluctuation compensation coefficient and the flow state correction coefficient, a compensation flow of each process section is obtained.

4. The method of claim 1, wherein the PCB production process is a process of producing a PCB by using a semi-additive process. The step of obtaining a high-purity water dilution ratio of each process section according to the main pollutant concentration and the compensation flow comprises: Obtaining a target concentration in a preset area, and obtaining a concentration difference between the target concentration and the main pollutant concentration according to the target concentration and the main pollutant concentration, and obtaining an initial high-purity water dilution ratio value according to the ratio of the concentration difference and the target concentration; The compensation flow is normalized to obtain a compensation flow normalized value; According to the main pollutant concentration, a pollutant sensitivity weight and a flow fluctuation weight are obtained; According to the initial high-purity water dilution ratio value, the compensation flow normalized value, the pollutant sensitivity weight and the flow fluctuation weight, a high-purity water dilution ratio is obtained.

5. The method of claim 1, wherein the PCB production process is a process of producing a PCB by using a semi-additive process. The step of obtaining a membrane flux decay rate of each process section according to the high-purity water dilution ratio comprises: According to the high-purity water dilution ratio and a preset measured pollutant concentration, a pollutant dilution concentration is obtained; A membrane flux material preset coefficient is obtained, and a deposition rate is obtained according to the membrane flux material preset coefficient and the pollutant dilution concentration; A flux decay coefficient of the membrane flux material and an initial flux are obtained, and a membrane flux decay rate is obtained according to the deposition rate, the flux decay coefficient of the membrane flux material and the initial flux.

6. The method of claim 1, wherein the PCB production process is a process of producing a PCB by using a semi-additive process. The step of performing water circulation hierarchical control processing on a plurality of process sections according to the membrane flux decay rate of each process section comprises: The membrane flux decay rates of each process section are sorted, and the process section with the largest membrane flux decay rate is screened out, and the process section with the largest membrane flux decay rate is marked as a key pollution area; According to the key pollution area, an attenuation rate change gradient and a first flow rate change rate of adjacent process sections are obtained; A second flow rate change rate of the key pollution area in the last control cycle is obtained, and an average flow rate change rate is obtained according to the second flow rate change rate and the first flow rate change rate; A plurality of distances from the key pollution area to the remaining process sections are obtained, and a total water circulation distance is obtained according to the plurality of distances, and the plurality of distances are compared with the total water circulation distance in turn to obtain a plurality of distance decay coefficients; According to the attenuation rate change gradient, a first pure water amount is obtained; According to the average flow rate change rate, a flowing wastewater amount of adjacent process sections is obtained, and an actual pure water amount is obtained according to the first pure water amount and the flowing wastewater amount; The actual pure water amount is sequentially calculated with a plurality of distance attenuation coefficients to obtain a plurality of second pure water amounts; According to the actual pure water amount and the plurality of second pure water amounts, control of water circulation of each process section is performed.

7. A control system for water circulation in a PCB production process, characterized in that, Comprise: The first acquisition module is used for acquiring wastewater parameters generated in each process section in the PCB production process, wherein the wastewater parameters comprise water quality pollution characteristic parameters and hydraulic characteristic parameters; The second acquisition module is used for acquiring wastewater type identification and pollution parameter correlation information according to the water quality pollution characteristic parameters of each process section, and acquiring water quality influence dominant information of each process section according to the wastewater type identification and pollution parameter correlation information, wherein the water quality influence dominant information comprises main pollutant information and corresponding main pollutant concentration; The third acquisition module is used for acquiring flow characteristic parameters and equivalent hydraulic retention time according to the hydraulic characteristic parameters of each process section, and acquiring compensation flow of each process section according to the flow characteristic parameters and the equivalent hydraulic retention time; The fourth acquisition module is used for acquiring high-purity water dilution ratios of each process section according to the main pollutant concentration and the compensation flow; The fifth acquisition module is used for acquiring membrane flux attenuation rates of each process section according to the high-purity water dilution ratios; The control module is used for performing water circulation hierarchical control processing on a plurality of the process sections according to the membrane flux attenuation rates of each process section.

8. The control system for water circulation in a PCB production process according to claim 7, wherein, The second acquisition module comprises: The first acquisition unit is used for acquiring a plurality of time nodes and corresponding pollution types continuously collected in a preset acquisition period according to the water quality pollution characteristic parameters of each process section, and constructing a pollutant correlation matrix according to the plurality of time nodes and corresponding pollution types; The second acquisition unit is used for acquiring corresponding purification pond areas of each process section, and acquiring a plurality of current pH value distribution maps corresponding to the plurality of purification pond areas based on pH testing; The third acquisition unit is used for extracting high-proportion pH value regions of each process section according to the plurality of current pH value distribution maps, and acquiring a plurality of wastewater type identifications corresponding to the high-proportion pH value regions of each process section; The fourth acquisition unit is used for acquiring an identification concentration corresponding to each wastewater type identification according to the plurality of wastewater type identifications; The comparison unit is used for sequentially comparing a plurality of the identification concentrations with a preset concentration threshold to obtain a plurality of pollutant concentration deviation values; The fifth acquisition unit is used for acquiring a plurality of pollutant concentration mean values corresponding to the plurality of identification concentrations within a preset time; The sixth acquisition unit is used for acquiring a plurality of pollutant characteristic difference rates according to the plurality of pollutant concentration deviation values and the plurality of pollutant concentration mean values, and sequentially performing weighted calculation on the plurality of pollutant characteristic difference rates and the plurality of pollutant concentration deviation degrees to obtain a plurality of wastewater pollution comprehensive indexes; The mapping unit is used for mapping the plurality of wastewater pollution comprehensive indexes into the pollutant correlation matrix to obtain a plurality of mapping relationships between the pollutant correlation matrix and the plurality of wastewater pollution comprehensive indexes, and taking the plurality of mapping relationships as pollution parameter correlation information of each process section. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The computer program is executed by the processor to implement the steps of the method of any one of claims 1 to 6.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method of any one of claims 1 to 6.

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