Wastewater pretreatment system based on intelligent control

Abstract

The invention discloses a wastewater pretreatment system based on intelligent control, the wastewater pretreatment system comprises a coagulation precipitator, a pulse impurity remover and an ultrafiltration device which are connected in sequence, wastewater is subjected to precipitation treatment by adding a coagulant, a plurality of anode plates and cathode plates are arranged in the pulse impurity remover, the anode plates and the cathode plates are alternately arranged, and the ultrafiltration device is connected with the coagulation precipitator. The anode plate and the cathode plate provide dynamic pulse current through a pulse intelligent control system; the water quality monitoring system monitors wastewater quality data in real time, and the pulse controller adjusts operation parameters output by the pulse power supply according to the wastewater treatment effect; and the ultrafiltration is used for removing suspended matters in the wastewater output by the pulse impurity remover. When the pretreatment system is used for treating the wastewater, the treatment effect is fed back in real time through the water quality monitoring system, and the pulse intelligent control system can be used for dynamically adjusting operation parameters in real time, optimizing the operation parameters, improving the treatment efficiency, saving the energy consumption, reducing the dosage of chemicals in the front-end coagulation precipitator and reducing the operation cost.

Description

Technical Field

[0001] This invention relates to the field of wastewater treatment, and more specifically to a wastewater pretreatment system based on intelligent control. Background Technology

[0002] Industrial wastewater typically contains high levels of suspended solids, colloids, organic matter, salts, and other inorganic and organic impurities, exhibiting high turbidity and color. It usually requires pretreatment before further advanced treatment. The conventional pretreatment process for this type of wastewater is "coagulation sedimentation + filtration + ultrafiltration," which effectively removes suspended solids, colloids, and insoluble macromolecular organic matter. However, during industrial production, the influent water quality fluctuates in real time. In conventional coagulation sedimentation, the dosage is controlled by manually adjusting the metering pump stroke and frequency based on offline water quality data. This control method often leads to highly unstable and lagging system operation, frequently resulting in water quality exceeding standards. To prevent this, excessive dosages are often pre-set. Excessive dosage not only degrades system performance but also introduces new pollutants, increasing the difficulty of water treatment, wasting chemicals, and incurring high operating costs.

[0003] Therefore, it is extremely important to develop intelligent control wastewater pretreatment systems to ensure stable effluent quality that meets standards, avoid waste of chemicals, and reduce operating costs. Summary of the Invention

[0004] To address the aforementioned shortcomings of existing technologies, this invention provides a wastewater pretreatment system based on intelligent control.

[0005] To achieve the above-mentioned objectives, the technical solution adopted by this invention is as follows: A wastewater pretreatment system based on intelligent control is provided, which includes a coagulation sedimentation unit, a pulse separator, a water tank and an ultrafiltration unit connected in sequence. The coagulation sedimentation unit treats the wastewater by adding coagulant. The pulse separator is provided with a number of anode plates and cathode plates, which are arranged alternately. The anode plates and cathode plates are provided with dynamic pulse current through a pulse intelligent control system. The pulse intelligent control system includes a pulse power supply, a pulse controller, and a data processing module. The anode plate is connected to the positive terminal of the pulse power supply via an anode cable, and the cathode plate is connected to the negative terminal of the pulse power supply via a cathode cable. The pulse impurity remover is equipped with a water quality monitoring system. The water quality monitoring system monitors the wastewater quality data in the pulse separator in real time and feeds it back to the data processing module for analysis of the wastewater quality, outputs the wastewater treatment effect of the pulse separator, and the pulse controller adjusts the operating parameters of the pulse power supply output according to the wastewater treatment effect. The ultrafiltration is used to remove suspended solids from the effluent of the pulse separator. The permeate from the ultrafiltration is discharged or reused, and the concentrate is returned to the inlet of the coagulation sedimentation unit for recycling.

[0006] Furthermore, the coagulation sedimentation tank includes a pre-settling zone on the inlet side, a coagulation zone in the middle, and a sedimentation zone on the outlet side. The upper end of the pre-settling zone is connected to a raw water pipe, and a first water pump is installed on the raw water pipe. The pre-settling zone and the coagulation zone are separated by a baffle, and the upper part of the baffle is provided with a Z-shaped bend structure. The middle part of the Z-shaped bend structure is inclined, and the height of the side near the pre-settling zone is lower than the height of the side near the coagulation zone. A coarse screen is installed in the middle of the Z-shaped bend structure. A second baffle extending downward is provided in the middle of the coagulation zone. A water passage is provided between the second baffle and the bottom of the coagulation zone. The coagulation zone and the sedimentation zone are connected by a T-shaped central cylinder.

[0007] Furthermore, the upper end of the sedimentation zone is connected to the inlet of the pulse separator via a pipe. The pulse separator is divided into a pulse reaction zone and a mud-water separation zone by a downwardly extending third baffle. Several anode plates and cathode plates are distributed in the pulse reaction zone. A water passage is provided between the third baffle and the bottom of the pulse separator. A slag discharge channel is also provided at the upper end of the third baffle. The outlet pipe of the pulse separator is located in the middle of the mud-water separation zone, and the outlet pipe of the pulse separator is connected to a water quality monitoring system. The water quality monitoring system is electrically connected to the pulse intelligent control system.

[0008] Furthermore, the outlet pipe of the pulse impurity remover is connected to a water tank, the lower end of the water tank is connected to the ultrafiltration system via a pipe, and an ultrafiltration inlet pump is installed on the water pipe between the water tank and the ultrafiltration system.

[0009] Furthermore, the method for the pulse intelligent control system to regulate the operating parameters of the pulse power supply includes the following steps: S1: The water quality monitoring system collects real-time water quality parameters of the wastewater purified by the pulse separator, including pH value. Oxidation-reduction potential and turbidity , t For the time of data collection; S2: Determine the adjustment cycle of operating parameters T pH value Oxidation-reduction potential and turbidity Unified representation as parameters , j This is a water quality data type; parameters Normalization was performed to obtain the normalized value for each type of water quality data. ; ; in, , Adjustment period T The first internal collection j Minimum and maximum values ​​of each water quality data point; S3: Using normalized values Calculate the weight of each water quality data point at different collection times. ; ; S4: Utilizing the weight of each water quality data point Calculate the entropy value for each water quality data point. Then use the entropy value Calculate water quality data during the adjustment cycle T Weight within ; , ; S5: Utilize the weight corresponding to each numerical data point Calculate the adjustment period T Different collection times t Water quality fusion data; ; S6: Construct different operating parameters A model relating water quality data to other data; ; ; in, i For the number of the running parameters, I For the types of operating parameters, The coefficient represents the relationship. The time it takes for wastewater in the pulse reaction zone to flow to the outlet of the pulse separator. l This refers to the path length of wastewater flowing from the pulse reaction zone to the outlet of the pulse separator. The average density of the purified wastewater. g It is the acceleration due to gravity. A This refers to the average cross-sectional area of ​​the water passage between the pulse reaction zone and the outlet of the pulse separator. H The effective water depth for the pulse separator. P The output power of the first water pump, P 0 represents the output power consumed in wastewater treatment within the coagulation sedimentation unit; S7: Data collection at any time runtime parameters The operating parameters include current density, response time, pulse frequency, and duty cycle, which are obtained during the adjustment cycle.T Previous interval Duration of operation parameters, operation parameters With collection time t Water quality fusion data As the input and output of the relational model; S8: Different collection times t Water quality fusion data With corresponding operating parameters In the input relational model, the least squares method is used to fit the relational model, and the fitted relational model is output. S9: Predicting the adjustment period using a fitted relational model. T Later time Water quality fusion data Based on predicted water quality fusion data Optimize adjustment cycle T The objective function for optimizing and adjusting the operating parameters at different times is: ; in, The threshold for the fusion data of wastewater quality after pulse separator treatment. To adjust the electrical pulse energy consumption after different operating parameters, The first i The minimum and maximum values ​​of the adjustment range for each operating parameter.

[0010] Furthermore, the anode plate is composed of alternating iron / aluminum metal anodes and titanium-based coated anodes, and the cathode plate is a composite cathode electrode of graphene and activated carbon fiber coating.

[0011] The beneficial effects of this invention are as follows: (1) In this invention, wastewater is first passed through a screen in a coagulation sedimentation tank to remove large suspended solids, floating matter and other impurities in the water. Then, coagulant is added in the coagulation zone for reaction and sedimentation. Separation is carried out in the sedimentation zone to remove suspended solids, colloids and other impurities. The hydraulic retention time in the entire coagulation sedimentation tank is 30-120 minutes. After sedimentation, the effluent enters the pulse separator. The pulse separator uses an alternating arrangement of iron / aluminum metal anodes and titanium-based coated anodes, combined with a graphene and activated carbon fiber coated composite cathode electrode, to balance electrocatalytic activity and improve the flocculant (iron / aluminum) production efficiency, reduce electrode wear. At the same time, the graphene coating can increase the specific surface area of ​​the cathode, improve the adsorption / capture capacity of pollutants in the water, and thus improve the mass transfer efficiency of pollutants to the electrode surface, which is conducive to efficient electrochemical catalytic oxidation-reduction reaction.

[0012] (2) This invention uses a pretreatment system of coagulation sedimentation, pulse impurity removal, ultrafiltration and other devices to treat wastewater. It sets up a pulse intelligent control system and a water quality monitoring system, and constructs a function model for regulating operating parameters and a water quality fusion data model. The water quality monitoring system can provide real-time feedback on the treatment effect, and the pulse intelligent control system can dynamically adjust the operating parameters in real time. Under the premise of ensuring the treatment effect, the operating parameters are optimized, the treatment efficiency is improved, energy consumption is saved, the amount of reagent added in the front-end coagulation sedimentation unit is reduced, and the operating cost is reduced. Attached Figure Description

[0013] Figure 1 This is a structural diagram and schematic diagram of a wastewater pretreatment system based on intelligent control.

[0014] The components include: 1. First water pump; 2. Coagulation sedimentation tank; 3. Pre-sedimentation zone; 4. Coagulation zone; 5. Coarse screen; 6. Baffle; 7. Central cylinder; 8. Sedimentation zone; 9. Water quality monitoring system; 10. Pulse impurity remover; 11. Pulse reaction zone; 12. Pulse intelligent control system; 13. Sludge scraper; 14. Sludge trough; 15. Water outlet pipe; 16. Sludge-water separation zone; 17. Water tank; 18. Ultrafiltration system; and 19. Ultrafiltration inlet pump. Detailed Implementation

[0015] The specific embodiments of the present invention are described below to enable those skilled in the art to understand the present invention. However, it should be understood that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, various changes are obvious as long as they are within the spirit and scope of the present invention as defined and determined by the appended claims. All inventions utilizing the concept of the present invention are protected.

[0016] like Figure 1 As shown, a wastewater pretreatment system based on intelligent control includes a coagulation sedimentation tank 2, a pulse separator 10, a water tank 17, and an ultrafiltration unit 18 connected in sequence. The coagulation sedimentation tank 2 treats the wastewater by adding coagulant. The pulse separator 10 is equipped with several anode plates and cathode plates, which are arranged alternately. The anode plates and cathode plates are provided with dynamic pulse current through a pulse intelligent control system 12.

[0017] The pulse intelligent control system 12 includes a pulse power supply, a pulse controller, and a data processing module. The anode plate is connected to the positive terminal of the pulse power supply via an anode cable, and the cathode plate is connected to the negative terminal of the pulse power supply via a cathode cable. The pulse impurity remover 10 is equipped with a water quality monitoring system 9. The pulse impurity remover 10 is used to remove suspended solids, turbidity, colloids, and large molecular organic matter from the water. Specifically, during the flow process, a reduction reaction occurs on the cathode surface inside the pulse impurity remover 10, generating hydrogen gas. An oxidation reaction occurs at the anode, degrading organic matter and forming flocculation and carbon dioxide gas. The gas has a flotation effect, causing solid pollutants in the water to be encapsulated by air bubbles and float to the top as scum.

[0018] The water quality monitoring system 9 monitors the wastewater quality data after treatment by the pulse separator 10 in real time and feeds it back to the data processing module for analysis. The module outputs the wastewater treatment effect of the pulse separator 10. The pulse controller adjusts the operating parameters of the pulse power supply output according to the wastewater treatment effect to ensure the wastewater treatment effect.

[0019] Ultrafiltration 18 is used to remove suspended solids from the effluent of pulse filter 10. The product water from ultrafiltration 18 is either discharged or returned. The concentrated water is returned to the inlet of the coagulation sedimentation tank 2 for recycling treatment.

[0020] In this scheme, the discharged raw wastewater first passes through the coarse screen 5 and inclined plate in the coagulation sedimentation tank 2 to remove large suspended solids, colloids and other substances in the water. The residence time in the coagulation sedimentation tank 2 is 30-120 minutes. After sedimentation, the effluent enters the pulse impurity separator 10. In the pulse impurity separator 10, the alternating arrangement of iron / aluminum metal anodes and titanium-based coated anodes, combined with the graphene and activated carbon fiber coated composite cathode electrode, takes into account both catalytic activity and optimizes the production efficiency of flocculant (iron / aluminum), while reducing electrode wear. At the same time, the graphene coating can increase the specific surface area of ​​the cathode and improve conductivity and catalytic activity.

[0021] The pulse separator 10 uses a pulse power supply paired with a pulse intelligent control system 12 to control the current density at 10-30 A / m², with a reaction time of 20-60 min. The pulse power supply frequency is 1-1000 Hz, and the duty cycle is 10%-90% (extending electrode lifespan and reducing energy consumption, effectively reducing electrode passivation). The pulse intelligent control system 12 is a pulse controller and data processing module, integrated with the water quality monitoring system 9 (pH, ORP, turbidity) using an integrated algorithm. Through real-time feedback, it dynamically adjusts pulse parameters to achieve microsecond-level response. The combined treatment effect of the coagulation sedimentation unit 2 and the pulse separator 10 achieves an SS removal rate of 86%. COD is reduced from 300 mg / L-500 mg / L to below 150-250 mg / L, and the total hardness removal rate is over 80%.

[0022] The effluent from the pulse impurity remover 10 enters the ultrafiltration system, which uses an acid and alkali resistant ultrafiltration membrane. The membrane is made of polyvinylidene fluoride (PVDF)-hexafluoropropylene copolymer (PVDF-HFP) as the matrix. The inner surface is coated with a polydopamine-polyethyleneimine composite material, and the hydrophilicity of the outer surface is enhanced by grafting sulfonic acid groups. The pH of the influent is controlled at 3-10, and the operating pressure is 0-0.5 MPa. The system intercepts the suspended solids generated by the pulse impurity remover 10, reducing the suspended solids (SS) from 200 mg / L to below 1 mg / L.

[0023] In this embodiment, the coagulation sedimentation tank 2 includes a pre-settling zone 3 located on the inlet side, a coagulation zone 4 in the middle, and a sedimentation zone 8 on the outlet side. The upper end of the pre-settling zone 3 is connected to the raw water pipe, and the bottom of the pre-settling zone 3 is designed with a V-shaped structure to facilitate the sedimentation of impurities. A first water pump 1 is installed on the raw water pipe to provide power for wastewater to enter the treatment system. The pre-settling zone 3 and the coagulation zone 4 are separated by a baffle 6, and the upper part of the baffle 6 is provided with a Z-shaped bending structure. The middle part of the Z-shaped bending structure is inclined, and the height of the side near the pre-settling zone 3 is lower than the height of the side near the coagulation zone 4, effectively increasing the area of ​​the coarse screen 5. At the same time, it reduces the impact force with wastewater, thereby reducing the initial velocity of wastewater entering the coagulation zone 4. A coarse screen 5 is installed in the middle of the Z-shaped bending structure. A second baffle extending downward is set in the middle of the coagulation zone 4. A water passage is set between the second baffle and the bottom of the coagulation zone 4. Coagulant is added in the coagulation zone 4. The coagulation zone 4 and the sedimentation zone 8 are connected by a T-shaped central cylinder 7. A second screen separating the upper and lower parts of the sedimentation zone 8 is set at the lower end of the sedimentation zone 8. The outlet of the central cylinder 7 extends to the bottom of the second screen. The coagulated sediment and impurities are blocked and discharged at the bottom of the sedimentation zone 8 by the second screen.

[0024] In this embodiment, the upper end of the sedimentation zone 8 is connected to the inlet of the pulse impurity separator 10 through a pipe. The pulse impurity separator 10 is divided into a pulse reaction zone 11 and a mud-water separation zone 16 by a downwardly extending third partition. Several anode plates and cathode plates are distributed in the pulse reaction zone 11. A water passage is provided between the third partition and the bottom of the pulse impurity separator 10. A slag discharge passage is also provided at the upper end of the third partition. The outlet pipe 15 of the pulse impurity separator 10 is located in the middle of the mud-water separation zone 16. The outlet pipe 15 is connected to the outlet of the pulse impurity separator 10 and is connected to the water quality monitoring system 9. The water quality monitoring system 9 is electrically connected to the pulse intelligent control system 12.

[0025] In this embodiment, a sludge scraper 13 is installed at the upper end of the sludge-water separation zone 16. The sludge scraper 13 reciprocates between the pulse reaction zone and the sludge-water separation zone, and the end of the sludge scraper 13 is connected to the sludge tank 14. The outlet pipe 15 of the pulse impurity remover 10 is connected to the water tank 17, and the lower end of the water tank 17 is connected to the ultrafiltration unit 18 through a pipe. An ultrafiltration inlet pump 19 is installed on the water pipe between the water tank 17 and the ultrafiltration unit 18.

[0026] The slag discharge channel at the upper end of the third partition facilitates the reciprocating motion of the sludge scraper 13 between the pulse reaction zone 11 and the mud-water separation zone 16. This allows the scum on the upper part of the pulse reaction zone 11 to be scraped by the sludge scraper 13 to the mud-water separation zone 16, and then fall into the sludge trough 14 above the mud-water separation zone 16. Finally, the scum is discharged from the sludge trough 14, thus achieving the purpose of mud-water separation.

[0027] In this embodiment, the method for adjusting the operating parameters of the pulse intelligent control system 12 includes the following steps: S1: Water quality monitoring system 9 collects real-time water quality parameters of the wastewater purified by pulse separator 10, including pH value. Oxidation-reduction potential and turbidity , t For the time of data collection; S2: Determine the adjustment cycle of operating parameters T pH value Oxidation-reduction potential and turbidity Unified representation as parameters , j This is a water quality data type; parameters Normalization was performed to obtain the normalized value for each type of water quality data. Normalized values ​​can effectively reduce errors caused by different water quality data dimensions and improve the accuracy of data fusion. ; in, , Adjustment period T The first internal collection j Minimum and maximum values ​​of each water quality data point; S3: Using normalized values Calculate the weight of each water quality data point at different collection times. ; ; S4: Utilizing the weight of each water quality data point Calculate the entropy value for each water quality data point. Then use the entropy value Calculate water quality data during the adjustment cycle T Weight within ; , ; S5: Utilize the weight corresponding to each numerical data point Calculate the adjustment period T Different collection timest Water quality fusion data; ; S6: Construct different operating parameters A model relating water quality data to other data; ; ; in, i For the number of the running parameters, I For the types of operating parameters, The coefficient represents the relationship. The time it takes for the wastewater in the pulse reaction zone 11 to flow to the outlet of the pulse separator 10. l The path length of the wastewater flowing from the pulse reaction zone 11 to the outlet of the pulse separator 10. The average density of the purified wastewater. g It is the acceleration due to gravity. A The average cross-sectional area of ​​the water passage between the pulse reaction zone 11 and the outlet of the pulse impurity remover 10 is [missing information]. H The effective water depth of the pulse separator 10, P The output power of the first water pump 1 P 0 represents the output power consumed by wastewater treatment in coagulation sedimentation tank 2; S7: Data collection at any time runtime parameters The operating parameters include current density, response time, pulse frequency, and duty cycle, which are obtained during the adjustment cycle. T Previous interval Duration of operation parameters, operation parameters With collection time t Water quality fusion data As the input and output of the relational model; S8: Different collection times t Water quality fusion data With corresponding operating parameters In the input relationship model, the least squares method is used to fit the relationship model, and the fitted relationship model is output. In the least squares fitting process, the operating parameters and water quality fusion data are used as the fitting input and output data sets to fit the relationship coefficients between the operating parameters and the water quality fusion data.

[0028] S9: Predicting the adjustment period using a fitted relational model. T Later time Water quality fusion data Based on predicted water quality fusion data Optimize adjustment cycle TThe objective function for optimizing and adjusting the operating parameters at different times is: ; in, The threshold for the fusion data of wastewater quality after treatment by pulse separator 10. To adjust the electrical pulse energy consumption after different operating parameters, The first i The minimum and maximum values ​​of the adjustment range for each operating parameter.

[0029] During the adjustment of operating parameters based on the objective function, within one adjustment cycle T Adjustments are made within the specified timeframe, with current density, response time, pulse frequency, and duty cycle adjusted uniformly in both the positive and negative directions according to the set adjustment rate or step size, within the adjustment cycle. T By obtaining several different operating parameters within the system, the optimal combination of operating parameters can be selected based on the objective function, ensuring that the subsequent pulse power output meets the water quality treatment effect while minimizing the energy consumption of the electrical pulse.

[0030] This invention utilizes a pretreatment system including a coagulation sedimentation tank 2, a pulse separator 10, and an ultrafiltration unit 18 to treat wastewater. It also incorporates a pulse intelligent control system 12 and a water quality monitoring system 9, constructing a function model for regulating operating parameters and a water quality fusion data model. The water quality monitoring system 9 provides real-time feedback on the treatment effect, while the pulse intelligent control system 12 dynamically adjusts the operating parameters in real time. This optimizes operating parameters, improves treatment efficiency, saves energy, reduces the amount of chemicals added to the front-end coagulation sedimentation tank 2, and lowers operating costs, all while ensuring effective treatment.

Claims

1. A wastewater pretreatment system based on intelligent control, characterized in that, The system includes a coagulation sedimentation unit, a pulse separator, a water tank, and an ultrafiltration unit connected in sequence. The coagulation sedimentation unit treats wastewater by adding coagulant. The pulse separator is equipped with several anode plates and cathode plates, which are arranged alternately. The anode plates and cathode plates are provided with dynamic pulse current by a pulse intelligent control system. The pulse intelligent control system includes a pulse power supply, a pulse controller, and a data processing module. The anode plate is connected to the positive terminal of the pulse power supply via an anode cable, and the cathode plate is connected to the negative terminal of the pulse power supply via a cathode cable. The pulse impurity remover is equipped with a water quality monitoring system. The water quality monitoring system monitors the wastewater quality data in the pulse separator in real time and feeds it back to the data processing module for analysis of the wastewater quality, outputs the wastewater treatment effect of the pulse separator, and the pulse controller adjusts the operating parameters of the pulse power supply output according to the wastewater treatment effect. The ultrafiltration is used to remove suspended solids from the effluent of the pulse separator, and the permeate from the ultrafiltration is discharged externally or The reused and concentrated water is returned to the inlet of the coagulation sedimentation unit for recycling.

2. The wastewater pretreatment system based on intelligent control according to claim 1, characterized in that, The coagulation sedimentation tank includes a pre-settling zone on the inlet side, a coagulation zone in the middle, and a sedimentation zone on the outlet side. The upper end of the pre-settling zone is connected to a raw water pipe, and a first water pump is installed on the raw water pipe. The pre-settling zone and the coagulation zone are separated by a baffle, and the upper part of the baffle is provided with a Z-shaped bend structure. The middle part of the Z-shaped bend structure is inclined, and the height of the side near the pre-settling zone is lower than the height of the side near the coagulation zone. A coarse screen is installed in the middle of the Z-shaped bend structure. A second baffle extending downward is provided in the middle of the coagulation zone. A water passage is provided between the second baffle and the bottom of the coagulation zone. The coagulation zone and the sedimentation zone are connected by a T-shaped central cylinder.

3. The wastewater pretreatment system based on intelligent control according to claim 2, characterized in that, The upper end of the sedimentation zone is connected to the inlet of the pulse separator via a pipe. The pulse separator is divided into a pulse reaction zone and a mud-water separation zone by a downward-extending third baffle. Several anode plates and cathode plates are distributed in the pulse reaction zone. A water passage is provided between the third baffle and the bottom of the pulse separator. A slag discharge channel is also provided at the upper end of the third baffle. The outlet pipe of the pulse separator is located in the middle of the mud-water separation zone and is connected to a water quality monitoring system. The water quality monitoring system is electrically connected to the pulse intelligent control system.

4. The wastewater pretreatment system based on intelligent control according to claim 3, characterized in that, The outlet pipe of the pulse impurity remover is connected to a water tank, and the lower end of the water tank is connected to an ultrafiltration unit via a pipe. An ultrafiltration inlet pump is installed on the water pipe between the water tank and the ultrafiltration unit.

5. The wastewater pretreatment system based on intelligent control according to claim 4, characterized in that, The method for regulating the operating parameters of the pulse power supply by the pulse intelligent control system includes the following steps: S1: The water quality monitoring system collects real-time water quality parameters of the wastewater purified by the pulse separator, including pH value. Oxidation-reduction potential and turbidity , t For the time of data collection; S2: Determine the adjustment cycle of operating parameters T pH value Oxidation-reduction potential and turbidity Unified representation as parameters , j This is a water quality data type; parameters Normalization was performed to obtain the normalized value for each type of water quality data. ; ； in, , Adjustment period T The first internal collection j Minimum and maximum values ​​of each water quality data point; S3: Using normalized values Calculate the weight of each water quality data point at different collection times. ; ； S4: Utilizing the weight of each water quality data point Calculate the entropy value for each water quality data point. Then use the entropy value Calculate water quality data during the adjustment cycle T Weight within ; ， ； S5: Utilize the weight corresponding to each numerical data point Calculate the adjustment period T Different collection times t Water quality fusion data; ； S6: Construct different operating parameters A model relating water quality data to other data; ； ； in, i For the number of the running parameters, I For the types of operating parameters, The coefficient represents the relationship. The time it takes for wastewater in the pulse reaction zone to flow to the outlet of the pulse separator. l This refers to the path length of wastewater flowing from the pulse reaction zone to the outlet of the pulse separator. The average density of the purified wastewater. g It is the acceleration due to gravity. A This refers to the average cross-sectional area of ​​the water passage between the pulse reaction zone and the outlet of the pulse separator. H The effective water depth for the pulse separator. P The output power of the first water pump, P 0 represents the output power consumed in wastewater treatment within the coagulation sedimentation unit; S7: Data collection at any time runtime parameters The operating parameters include current density, response time, pulse frequency, and duty cycle, which are obtained during the adjustment cycle. T Previous interval Duration of operation parameters, operation parameters With collection time t Water quality fusion data As the input and output of the relational model; S8: Different collection times t Water quality fusion data With corresponding operating parameters In the input relational model, the least squares method is used to fit the relational model, and the fitted relational model is output. S9: Predicting the adjustment period using a fitted relational model. T Later time Water quality fusion data Based on predicted water quality fusion data Optimize adjustment cycle T The objective function for optimizing and adjusting the operating parameters at different times is: ； in, The threshold for the fusion data of wastewater quality after pulse separator treatment. To adjust the electrical pulse energy consumption after different operating parameters, The first i The minimum and maximum values ​​of the adjustment range for each operating parameter.

6. The wastewater pretreatment system based on intelligent control according to claim 5, characterized in that, The anode plate is composed of alternating iron / aluminum metal anodes and titanium-based coated anodes, and the cathode plate is a composite cathode electrode with graphene and activated carbon fiber coating.

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