Electrophoretic spraying liquid recovery intelligent scheduling and pollution load balancing control system

Abstract

The invention relates to the technical field of electrophoretic spraying, and discloses an electrophoretic spraying liquid recovery intelligent scheduling and pollution load balancing control system which comprises a module M1 and a multi-point monitoring module which are respectively arranged in an electrophoresis tank, a UF1 cleaning area, a UF2 cleaning area and a recovery tank; the dynamic adjusting module comprises a variable frequency recovery pump and a proportioning valve and responds to the monitoring data of the multi-point monitoring module; a module M3 which is a pollution load balancing control module and is based on monitoring data of the multi-point monitoring module; and the module M4 is an intelligent scheduling center module. Through the real-time monitoring function of the module M1, the system can accurately obtain key data such as coating components, impurity concentration, conductivity and pH value of each workshop section; and the module M2 adjusts the recovery flow and the dilution ratio of cleaning water in real time according to the data to effectively cope with the loss amount and component change of the coating, so that the recovery efficiency and the utilization rate of the coating are remarkably improved, and the phenomena of coating accumulation and waste are reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electrophoretic spraying, in particular to an electrophoretic spraying liquid recovery intelligent scheduling and pollution load balancing control system. BACKGROUND

[0002] In industrial production, electrophoretic spraying, as an efficient coating process, is widely used in the fields of precision electronic components, automobile parts and the like. Electrophoretic spraying forms a uniform coating layer on the surface of the coated object by the action of an electric field on charged paint particles, and has many advantages such as high coating efficiency, good coating quality and automatic production.

[0003] According to the search, the patent with the Chinese patent number CN204490625U discloses the utility model belongs to the technical field of electrophoretic paint, especially relates to a kind of electrophoretic paint purification separation recycling system, including electrophoretic tank, precision filter, activated carbon filter, ultrafiltration device, secondary filter, water pump, low concentration cleaning water pool, activated carbon, macromolecular separation device, the electrophoretic tank connects first washing pool, the third washing pool connects precision filter, the precision filter connects macromolecular separation device, the macromolecular separation device connects activated carbon filter, the activated carbon filter connects ultrafiltration device, the ultrafiltration device connects secondary filter, the secondary filter is connected with water pump and low concentration cleaning water pool respectively, the other end of the water pump connects first washing pool.The patent is provided with molecular separation device before ultrafiltration membrane, avoids the need to clean after using a period of time for ultrafiltration membrane assembly, improves the service life of device.

[0004] However, in the above-mentioned scheme, the recovery flow and the dilution ratio are not adjusted in real time according to the actual paint loss and composition change of each section, which may lead to the accumulation of paint in some sections, affecting the recovery efficiency and paint utilization rate, and further increasing the production cost. In addition, in the control of pollution load, the above-mentioned scheme mainly removes impurities through physical filtration and macromolecular separation. However, in actual production, the impurity concentration in the electrophoretic tank will change over time, and the pollution load of different sections is different, so it is difficult to accurately control the impurity concentration, which may cause local accumulation of pollutants or overload of the treatment system. Therefore, the present application designs an electrophoretic spraying liquid recovery intelligent scheduling and pollution load balancing control system to solve the above-mentioned problems. SUMMARY

[0005] The present application aims to provide an electrophoretic spraying liquid recovery intelligent scheduling and pollution load balancing control system, which solves the problem of low recovery efficiency and paint utilization rate in the background art.

[0006] In order to solve the above-mentioned technical problems, the present application provides the following technical scheme:

[0007] The electrophoretic spraying liquid recovery intelligent scheduling and pollution load balancing control system comprises:

[0008] Module M1, multi-point monitoring module, is respectively arranged in the electrophoresis tank, the UF1 cleaning area, the UF2 cleaning area and the recovery tank, for monitoring the paint composition, impurity concentration, conductivity and pH value of each section in real time; wherein, the monitoring range of conductivity is 1500-2500 μS / cm, and the monitoring range of pH value is 6.0-7.0;

[0009] Module M2, dynamic adjustment module, including frequency conversion recovery pump and proportional regulating valve, generates and executes recovery flow adjustment instruction and cleaning water dilution ratio adjustment instruction for each section in real time in response to the monitoring data of the multi-point monitoring module;

[0010] Module M3, pollution load balancing control module, generates impurity concentration distribution model of each section in future preset time period by using prediction algorithm based on the monitoring data of the multi-point monitoring module; the pollution load balancing control module generates counter flushing strategy instruction in association for controlling the counter flushing frequency and counter flushing pressure of the ultrafiltration membrane assembly according to the impurity concentration distribution model;

[0011] Module M4, intelligent scheduling center module, integrating real-time data analysis unit, prediction algorithm unit and control instruction generation unit; the intelligent scheduling center module receives the monitoring data of the multi-point monitoring module, executes the prediction algorithm to generate the impurity concentration distribution model, and generates control instruction based on the analysis result and sends to the dynamic adjustment module and the pollution load balancing control module.

[0012] Preferably, when the multi-point monitoring module monitors that the paint solid concentration of the electrophoresis tank is greater than 18%, it generates instruction to increase the recovery flow of the UF1 cleaning area by 10%-30% and to reduce the cleaning water dilution ratio of the UF1 cleaning area to 1:8;

[0013] When the multi-point monitoring module monitors that the conductivity of the UF2 cleaning area is greater than 2000 μS / cm, it generates instruction to trigger the counter flushing strategy of the pollution load balancing control module, and simultaneously generates instruction to increase the cleaning water dilution ratio of the UF2 cleaning area to 1:10.

[0014] Preferably, the prediction algorithm used by the pollution load balancing control module is time series analysis model, and the input variables include:

[0015] Historical impurity concentration data, sampling interval is 10 minutes;

[0016] Electrophoresis tank liquid temperature, control range is 25±2℃;

[0017] Paint circulation rate, set range is 5-15 m3 / h;

[0018] The output of the analysis model is the predicted value of the pollution load distribution of each section in the next 2 hours and the corresponding backflush strategy parameters.

[0019] Preferably, the intelligent scheduling hub module is connected with the multi-point monitoring module, the dynamic adjustment module and the pollution load balancing control module through Modbus / TCP industrial bus protocol.

[0020] Preferably, after obtaining the data of nickel ion concentration, phosphorus content and zinc ion concentration collected by the multi-point monitoring module, noise filtering processing is performed on the obtained data, wherein the control threshold of nickel ion concentration is less than 1.0 mg / L.

[0021] Preferably, based on the impurity concentration distribution model generated by the pollution load balancing control module and the preprocessed data, the recovery flow of the UF1 cleaning area and the UF2 cleaning area is dynamically allocated according to a preset proportional relationship; the preset proportional relationship is represented as:

[0022] The recovery flow Q1 of the UF1 cleaning area is k1*CNi+k2*CP;

[0023] The recovery flow Q2 of the UF2 cleaning area is k3*CZn;

[0024] Wherein, k1, k2 and k3 are preset weight coefficients, k1 is 0.8, k2 is 0.5, and k3 is 1.2; CNi is the concentration of nickel ions, CP is the concentration of phosphorus content, and CZn is the concentration of zinc ions.

[0025] When the pollution load balancing control module predicts that there is a risk of impurity accumulation in the electrophoresis tank based on the impurity concentration distribution model, a hierarchical backflush strategy is started, and the section with high predicted pollution load is preferentially backflushed and cleaned.

[0026] Preferably, when the pollution load balancing control module predicts that there is a risk of impurity accumulation in the electrophoresis tank based on the impurity concentration distribution model, a hierarchical backflush strategy is started, and the section with high predicted pollution load is preferentially backflushed and cleaned.

[0027] Preferably, the hierarchical backflush strategy includes:

[0028] Primary backflush: for the ultrafiltration membrane assembly of the UF1 cleaning area, low-pressure short-time backflush operation is performed, the backflush pressure is 0.3 MPa, and the duration is 30 seconds;

[0029] Secondary backflush: for the ultrafiltration membrane assembly of the UF2 cleaning area, high-pressure pulse backflush operation is performed, the backflush pressure is 0.8 MPa, and the pulse frequency is 2 Hz; during the secondary backflush process, an alkaline cleaning agent solution with a pH value of 9.0-10.0 is synchronously injected.

[0030] Preferably, the backflush cleaning execution unit comprises a differential pressure sensor and a high-pressure pump; the differential pressure sensor is arranged at the ultrafiltration membrane assembly for monitoring the ultrafiltration membrane flux decay rate in real time;

[0031] When the differential pressure sensor monitors that the ultrafiltration membrane flux decay rate is greater than 15%, the pollution load balancing control module generates a high-pressure backflush instruction;

[0032] The high-pressure backflush instruction controls the high-pressure pump to perform a backflush operation with a pressure of 0.6 MPa and a duration of 30-60 seconds; the backflush water source is the clean water tank, which is delivered to the backflush cleaning execution unit through pressurization.

[0033] Preferably, the multi-stage treatment unit comprises a bag filter, an ultrafiltration membrane assembly and an activated carbon adsorption tower which are sequentially in fluid communication, and the filtration precision of the bag filter is 10 μm;

[0034] The intelligent control unit is internally provided with a programmable logic controller and a human-machine interface touch screen, which is used for executing the functions of the intelligent scheduling hub and the system control logic, and the touch screen is used for parameter setting, real-time data visualization display and alarm threshold management.

[0035] Compared with the prior art, the present application has the following beneficial effects:

[0036] 1. In the present application, through the real-time monitoring function of module M1, the system can accurately obtain key data such as paint composition, impurity concentration, conductivity and pH value of each section; module M2 adjusts the recovery flow and cleaning water dilution ratio in real time according to these data, effectively deals with the paint loss and composition change, thereby significantly improves the recovery efficiency and utilization rate of the paint, and reduces the accumulation and waste of the paint.

[0037] 2. In the present application, module M3 uses a prediction algorithm to generate an impurity concentration distribution model of each section in a future preset time period, and accordingly formulates a backflush cleaning strategy. The strategy can adjust the backflush frequency and pressure of the ultrafiltration membrane assembly according to the actual situation, so as to accurately control the impurity concentration, avoid the local accumulation of pollutants or the overload of the treatment system, and ensure the stable operation of the system.

[0038] 3. In the present application, by optimizing the paint recovery process and pollution control strategy, the system not only improves the utilization rate of the paint, but also reduces the labor and material costs caused by frequent cleaning of the ultrafiltration membrane assembly and treatment of pollutants. In addition, the intelligent scheduling hub module is connected with each module through the Modbus / TCP industrial bus protocol, which ensures efficient transmission of information and accurate execution of instructions, further improves the production efficiency and reduces the production cost. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 Flow chart of the system as a whole and the modules of the present application;

[0040] Figure 2 Flow chart of the intelligent dispatching hub control logic of the present application;

[0041] Figure 3 Flow chart of the pollution load prediction and backflush strategy of the present application;

[0042] Figure 4 Flow chart of the dynamic adjustment module workflow of the present application. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0044] Embodiment 1;

[0045] Please refer to Figures 1-4 , the electrophoretic spraying liquid recovery intelligent dispatching and pollution load balancing control system, comprising: module M1, a multi-point monitoring module, respectively arranged in the electrophoretic tank, the UF1 cleaning area, the UF2 cleaning area and the recovery tank, for real-time monitoring of the coating composition, impurity concentration, conductivity and pH value of each section; wherein the monitoring range of conductivity is 1500-2500 μS / cm, and the monitoring range of pH value is 6.0-7.0;

[0046] Module M2, a dynamic adjustment module, comprising a variable frequency recovery pump and a proportional control valve, which generates and executes the recovery flow adjustment instructions and the cleaning water dilution ratio adjustment instructions for each section in real time in response to the monitoring data of the multi-point monitoring module;

[0047] Module M3, a pollution load balancing control module, which generates an impurity concentration distribution model of each section in a future preset time period based on the monitoring data of the multi-point monitoring module by using a prediction algorithm; the pollution load balancing control module jointly generates a backflush cleaning strategy instruction according to the impurity concentration distribution model, for controlling the backflush frequency and backflush pressure of the ultrafiltration membrane assembly;

[0048] Module M4, an intelligent dispatching hub module, which integrates a real-time data analysis unit, a prediction algorithm unit and a control instruction generation unit; the intelligent dispatching hub module receives the monitoring data of the multi-point monitoring module, executes the prediction algorithm to generate the impurity concentration distribution model, and generates and sends the control instructions to the dynamic adjustment module and the pollution load balancing control module based on the analysis results.

[0049] When the multi-point monitoring module monitors that the paint solid concentration of the electrophoresis tank is greater than 18%, a command is generated to increase the recovery flow of the UF1 cleaning area by 10%-30% and to reduce the cleaning water dilution ratio of the UF1 cleaning area to 1:8; when the multi-point monitoring module monitors that the conductivity of the UF2 cleaning area is greater than 2000 mu S / cm, a command is generated to trigger the backwashing strategy of the pollution load balancing control module, and a command is generated at the same time to increase the cleaning water dilution ratio of the UF2 cleaning area to 1:10. The prediction algorithm used by the pollution load balancing control module is a time series analysis model, and the input variables include: historical impurity concentration data, sampling interval is 10 minutes; electrophoresis tank liquid temperature, control range is 25±2 DEG C; paint circulation rate, set range is 5-15 m3 / h; the output of the analysis model is the pollution load distribution prediction value of each section in the future 2 hours and the corresponding backwashing strategy parameters.

[0050] The intelligent scheduling center module is in communication connection with the multi-point monitoring module, the dynamic adjustment module and the pollution load balancing control module through the Modbus / TCP industrial bus protocol. After obtaining the nickel ion concentration, phosphorus content and zinc ion concentration data collected by the multi-point monitoring module, noise filtering processing is performed on the obtained data, and the nickel ion concentration control threshold is less than 1.0 mg / L.

[0051] The working principle of the embodiment of the application is that the module M1 multi-point monitoring module monitors the paint composition, impurity concentration, conductivity and pH value of the electrophoresis tank, the UF1 cleaning area, the UF2 cleaning area and the recovery tank in real time, the conductivity monitoring range is 1500-2500 mu S / cm, and the pH value monitoring range is 6.0-7.0. These data are transmitted to the module M4 intelligent scheduling center module in real time. When the paint solid concentration of the electrophoresis tank is greater than 18% or the conductivity of the UF2 cleaning area is greater than 2000 mu S / cm, the intelligent scheduling center module generates control instructions according to the preset rules and sends them to the module M2 dynamic adjustment module and the module M3 pollution load balancing control module.

[0052] After receiving the instructions, the module M2 dynamic adjustment module adjusts the recovery flow and cleaning water dilution ratio of each section in real time by means of the variable frequency recovery pump and the proportional control valve, so as to adapt to the paint loss and composition change, prevent paint accumulation, and improve the recovery efficiency and paint utilization rate. At the same time, based on the data of the multi-point monitoring module, the module M3 pollution load balancing control module generates an impurity concentration distribution model of each section in a future preset time period by using a prediction algorithm such as a time series analysis model. The intelligent scheduling center module generates a backwashing strategy instruction accordingly, controls the backflushing frequency and backflushing pressure of the ultrafiltration membrane assembly, accurately controls the impurity concentration, and prevents local accumulation of pollutants or overload of the treatment system.

[0053] The intelligent scheduling hub module is connected with the multi-point monitoring module, the dynamic adjustment module and the pollution load balancing control module through the Modbus / TCP industrial bus protocol, so as to ensure real-time information transmission and accurate instruction execution. Meanwhile, the module performs noise filtering processing on the collected electrophoresis tank nickel ion concentration, phosphorus content and zinc ion concentration data, so as to ensure data accuracy, and the nickel ion concentration control threshold is less than 1.0 mg / L.

[0054] Embodiment 2;

[0055] Please refer to Figures 1-4 In the embodiment of the present application, based on the pretreated data and the impurity concentration distribution model generated by the pollution load balancing control module, the recovery flow of the UF1 cleaning area and the UF2 cleaning area is dynamically allocated according to a preset proportional relationship; the preset proportional relationship is represented as:

[0056] The recovery flow Q1 of the UF1 cleaning area is k1*CNi+k2*CP;

[0057] The recovery flow Q2 of the UF2 cleaning area is k3*CZn;

[0058] Wherein, k1, k2 and k3 are preset weight coefficients, k1 is 0.8, k2 is 0.5, and k3 is 1.2; CNi is the nickel ion concentration, CP is the phosphorus content concentration, and CZn is the zinc ion concentration; when the pollution load balancing control module predicts that the electrophoresis tank has a risk of impurity accumulation based on the impurity concentration distribution model, the hierarchical backflush strategy is started, and the section with high predicted pollution load is preferentially backflushed.

[0059] When the pollution load balancing control module predicts that the electrophoresis tank has a risk of impurity accumulation based on the impurity concentration distribution model, the hierarchical backflush strategy is started, and the section with high predicted pollution load is preferentially backflushed. The hierarchical backflush strategy includes: first-level backflush: for the UF1 cleaning area ultrafiltration membrane assembly, low pressure short time backflush operation is performed, the backflush pressure is 0.3 MPa, and the duration is 30 seconds; second-level backflush: for the UF2 cleaning area ultrafiltration membrane assembly, high pressure pulse backflush operation is performed, the backflush pressure is 0.8 MPa, and the pulse frequency is 2 Hz; during the second-level backflush process, the alkaline cleaning agent solution with a pH value of 9.0-10.0 is injected synchronously.

[0060] The system also includes a backwash execution unit, which includes a differential pressure sensor and a high-pressure pump. The differential pressure sensor is located at the ultrafiltration membrane assembly and is used to monitor the ultrafiltration membrane flux decay rate in real time. When the differential pressure sensor detects that the ultrafiltration membrane flux decay rate is greater than 15%, it triggers the pollution load balancing control module to generate a high-pressure backwash instruction. The high-pressure backwash instruction controls the high-pressure pump to perform a backwash operation with a pressure of 0.6 MPa and a duration of 30-60 seconds. The backwash water source is from the clean water tank and is pressurized and delivered to the backwash execution unit. It also includes a multi-stage processing unit, including a bag filter, an ultrafiltration membrane assembly, and an activated carbon adsorption tower in fluid communication with each other in sequence. The bag filter has a filtration accuracy of 10μm. An intelligent control unit with a built-in programmable logic controller and a human-machine interface touch screen is used to execute the functions of the intelligent scheduling center and the system control logic. The touch screen is used for parameter setting, real-time data visualization, and alarm threshold management.

[0061] The operating principle of this embodiment of the present invention is that the system dynamically allocates the recovery flow between the UF1 cleaning zone and the UF2 cleaning zone according to a preset ratio based on preprocessed data and an impurity concentration distribution model generated by a pollution load balancing control module. If the pollution load balancing control module predicts the risk of impurity accumulation in the electrophoresis tank based on the impurity concentration distribution model, it initiates a graded backflushing strategy, prioritizing backflushing of sections with the highest predicted contamination load.

[0062] In the graded backwash strategy, the first-level backwash is aimed at the ultrafiltration membrane components in the UF1 cleaning area, performing a low-pressure short-time backwash operation with a backwash pressure of 0.3 MPa and a duration of 30 seconds; the second-level backwash is aimed at the ultrafiltration membrane components in the UF2 cleaning area, performing a high-pressure pulse backwash operation with a backwash pressure of 0.8 MPa and a pulse frequency of 2 Hz, and an alkaline cleaning solution with a pH value of 9.0-10.0 is simultaneously injected during the second-level backwash process.

[0063] The system is also equipped with a backwash execution unit, consisting of a differential pressure sensor and a high-pressure pump. The differential pressure sensor, located at the ultrafiltration membrane assembly, monitors the membrane flux decay rate in real time. When it exceeds 15%, it triggers the pollution load balancing control module to generate a high-pressure backwash command, controlling the high-pressure pump to execute a backwash operation at a pressure of 0.6 MPa for 30-60 seconds. The backwash water is supplied from the clean water tank and pressurized to the backwash execution unit. Furthermore, the system includes a multi-stage processing unit, which sequentially connects the bag filter, ultrafiltration membrane assembly, and activated carbon adsorption tower. The bag filter has a filtration accuracy of 10 μm.

[0064] Example 3;

[0065] See also Figures 1-4 In an embodiment of the present invention, a specific embodiment is provided, which is applied to an electrophoretic coating production line for automobile parts.

[0066] The multi-point monitoring module is deployed in the electrophoresis tank, the UF1 cleaning area, the UF2 cleaning area, and the recovery tank. The electrophoresis tank monitors the solid content of the coating, the nickel ion concentration, the phosphorus content, the zinc ion concentration, the conductivity, and the pH value. The UF1 cleaning area monitors the conductivity threshold and the suspended matter concentration. The UF2 cleaning area tracks the zinc ion concentration and the ultrafiltration membrane flux decay rate. The recovery tank continuously monitors the residual amount of the coating composition and the pH fluctuation. All sensors use a fixed sampling interval of 10 minutes. The collected data is transmitted to the intelligent scheduling center after being processed by a noise filtering algorithm.

[0067] The dynamic adjustment module includes a variable frequency recovery pump with a flow adjustment range of 5 to 15 cubic meters per hour, with a response time of no more than 2 seconds. The proportional control valve supports dynamic adjustment of the cleaning water dilution ratio in the range of 1:8 to 1:10. The ultrafiltration membrane assembly integrates a differential pressure sensor, and the backflush operation uses a staged pressure mode: the first-stage low-pressure backflush pressure is set to 0.3 MPa, and the second-stage high-pressure pulse backflush pressure reaches 0.8 MPa.

[0068] The intelligent scheduling center predicts the pollution distribution based on a time series analysis model. The input variables include the constant temperature control of the electrophoresis tank liquid at 25°C ± 2°C, the coating circulation rate set at 10 cubic meters per hour, and the impurity concentration gradient data for nearly 3 hours. The model outputs the predicted values of the pollution load in each section for the next 2 hours. When the predicted zinc ion concentration in the UF2 cleaning area exceeds 45 ppm or the nickel ion concentration is greater than 0.9 mg / L, the system automatically determines that there is an accumulation risk.

[0069] The recovery flow is dynamically allocated according to the preset weight coefficient:

[0070] The UF1 cleaning area flow calculation uses the formula: UF1 flow = 0.8 x nickel ion concentration + 0.5 x phosphorus content concentration,

[0071] The UF2 cleaning area flow is calculated as UF2 flow: 1.2 x zinc ion concentration. When the nickel ion concentration is 0.85 mg / L, the phosphorus content is 80 ppm, and the zinc ion concentration is 40 ppm, the UF1 flow is automatically adjusted to 40.68 cubic meters per hour, and the UF2 flow is adjusted to 48 cubic meters per hour.

[0072] The first-stage backflush is aimed at the UF1 cleaning area ultrafiltration membrane, with a 0.3 MPa pressure for 30 seconds to remove surface deposits. The second-stage backflush uses a 0.8 MPa pulse backflush for the UF2 cleaning area, with a pulse frequency of 2 Hz, while injecting an alkaline cleaning agent with a pH value of 9.5.

[0073] The continuous 72-hour operation test shows that the UF1 cleaning area floating paint recovery rate is increased from 80% of the traditional process to 98.5%, the paint comprehensive utilization rate is increased by about 20%, the total energy consumption of the system is reduced by 15% through the dynamic adjustment of the frequency conversion pump compared with the fixed flow mode, the ultrafiltration membrane chemical cleaning cycle is extended from 7 days to 21 days through the staged backflush strategy, the membrane flux decay rate is stably controlled within 8%, and the conductivity of the treated recycled water is lower than 100 microsiemens per centimeter.

[0074] Working principle: The multi-point monitoring module M1 real-time monitors the paint composition, impurity concentration, conductivity and pH value of the electrophoresis tank, UF1 cleaning area, UF2 cleaning area and recovery tank. These data are transmitted to the intelligent scheduling hub module M4. When the monitoring data is abnormal, such as the paint solid content of the electrophoresis tank is greater than 18% or the conductivity of the UF2 cleaning area is greater than 2000 μS / cm, the intelligent scheduling hub module generates control instructions according to the preset rules and sends them to the dynamic adjustment module M2 and the pollution load balancing control module M3.

[0075] After receiving the instructions, the module M2 adjusts the recovery flow rate and cleaning water dilution ratio of each section in real time through the frequency conversion recovery pump and the proportional control valve to adapt to the paint loss and composition change, prevent paint accumulation, and improve the recovery efficiency and paint utilization rate. At the same time, based on the data of the multi-point monitoring module, the module M3 uses time series analysis model and other prediction algorithms to generate impurity concentration distribution model of each section in the future preset time period, and generates backflush cleaning strategy instructions accordingly to control the backflush frequency and backflush pressure of the ultrafiltration membrane assembly, accurately control the impurity concentration, and prevent local accumulation of pollutants or overload of the treatment system.

[0076] The intelligent scheduling hub module is connected with each module through the Modbus / TCP industrial bus protocol, which ensures real-time transmission of information and accurate execution of instructions, and performs noise filtering processing on the collected data to ensure data accuracy. In addition, the system is also equipped with a backflush cleaning execution unit and a multi-stage processing unit. The backflush cleaning execution unit includes a differential pressure sensor and a high-pressure pump for monitoring the ultrafiltration membrane flux decay rate and performing backflush operation. The multi-stage processing unit is in fluid communication with the bag filter, the ultrafiltration membrane assembly and the activated carbon adsorption tower in sequence to realize efficient recovery of the electrophoretic spraying liquid and pollution load balancing control.

[0077] Although embodiments of the present application have been shown and described, it will be understood by those having ordinary skill in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the application, the scope of which is defined by the appended claims and their equivalents.

Claims

1. Intelligent scheduling and pollution load balancing control system for electrophoretic spraying liquid recovery, characterized by: include: Module M1, a multi-point monitoring module, is installed in the electrophoresis tank, UF1 cleaning area, UF2 cleaning area, and recovery tank, and is used to monitor the coating composition, impurity concentration, conductivity, and pH value of each process section in real time. The conductivity monitoring range is 1500-2500μS / cm, and the pH monitoring range is 6.0-7.

0. Module M2, a dynamic adjustment module, includes a variable frequency recovery pump and a proportional control valve. In response to the monitoring data of the multi-point monitoring module, it generates and executes the recovery flow adjustment instructions and the cleaning water dilution ratio adjustment instructions for each section in real time; Module M3, a pollution load balancing control module, generates an impurity concentration distribution model for each work section within a preset future time period based on the monitoring data of the multi-point monitoring module using a prediction algorithm; the pollution load balancing control module generates a backwash cleaning strategy instruction based on the impurity concentration distribution model, which is used to control the backwash frequency and backwash pressure of the ultrafiltration membrane assembly; Module M4, an intelligent scheduling hub module, integrates a real-time data analysis unit, a prediction algorithm unit and a control instruction generation unit; the intelligent scheduling hub module receives the monitoring data of the multi-point monitoring module, executes the prediction algorithm to generate the impurity concentration distribution model, and generates control instructions sent to the dynamic adjustment module and the pollution load balancing control module based on the analysis results.

2. The electrophoretic spray coating liquid recovery intelligent scheduling and pollution load balancing control system according to claim 1 is characterized by: When the multi-point monitoring module detects that the coating solids concentration in the electrophoresis tank is greater than 18%, an instruction is generated to increase the recovery flow rate of the UF1 cleaning area by 10%-30% and reduce the cleaning water dilution ratio of the UF1 cleaning area to 1:8; When the multi-point monitoring module detects that the conductivity of the UF2 cleaning area is greater than 2000 μS / cm, it generates an instruction to trigger the backwash cleaning strategy of the pollution load balancing control module, and simultaneously generates an instruction to increase the cleaning water dilution ratio of the UF2 cleaning area to 1:

10.

3. The electrophoretic spray coating liquid recovery intelligent scheduling and pollution load balancing control system according to claim 1, characterized in that: The prediction algorithm used by the pollution load balancing control module is a time series analysis model, and the input variables include: Historical impurity concentration data, with a sampling interval of 10 minutes; The electrophoresis tank liquid temperature is controlled within the range of 25±2℃; Paint circulation rate, setting range is 5-15m3 / h; The output of the analysis model is the predicted value of the pollution load distribution of each section in the next 2 hours and the corresponding backwash strategy parameters.

4. The electrophoretic spray coating liquid recovery intelligent scheduling and pollution load balancing control system according to claim 1 is characterized by: The intelligent scheduling central module is communicatively connected with the multi-point monitoring module, the dynamic adjustment module and the pollution load balancing control module via the Modbus / TCP industrial bus protocol.

5. The electrophoretic spray coating liquid recovery intelligent scheduling and pollution load balancing control system according to claim 1, characterized in that: After obtaining the nickel ion concentration, phosphorus content and zinc ion concentration data of the electrophoresis tank collected by the multi-point monitoring module, the obtained data is subjected to noise filtering processing, wherein the nickel ion concentration control threshold is less than 1.0 mg / L.

6. The electrophoretic spray coating liquid recovery intelligent scheduling and pollution load balancing control system according to claim 1 is characterized in that: Based on the pre-processed data and the impurity concentration distribution model generated by the pollution load balancing control module, the recovery flow of the UF1 cleaning area and the UF2 cleaning area is dynamically allocated according to a preset proportional relationship; the preset proportional relationship is expressed as: Recovery flow rate of UF1 cleaning area Q1=k1*CNi+k2*CP; Recovery flow rate of UF2 cleaning area Q2=k3*CZn; Among them, k1, k2, and k3 are preset weight coefficients, k1 is 0.8, k2 is 0.5, and k3 is 1.2; CNi is the nickel ion concentration, CP is the phosphorus content concentration, and CZn is the zinc ion concentration; When the pollution load balancing control module predicts that there is a risk of impurity accumulation in the electrophoresis tank based on the impurity concentration distribution model, a graded backwash strategy is initiated to prioritize backwash cleaning of sections with a high predicted pollution load.

7. The electrophoretic spray coating liquid recovery intelligent scheduling and pollution load balancing control system according to claim 1, characterized in that: When the pollution load balancing control module predicts that there is a risk of impurity accumulation in the electrophoresis tank based on the impurity concentration distribution model, a graded backwash strategy is initiated to prioritize backwash cleaning of sections with a high predicted pollution load.

8. The electrophoretic spray liquid recovery intelligent scheduling and pollution load balancing control system according to claim 6, characterized in that: The hierarchical recoil strategy includes: First-stage backwash: For the ultrafiltration membrane components in the UF1 cleaning area, perform a low-pressure short-time backwash operation with a backwash pressure of 0.3 MPa and a duration of 30 seconds; Secondary backwash: For the ultrafiltration membrane components in the UF2 cleaning area, a high-pressure pulse backwash operation is performed with a backwash pressure of 0.8 MPa and a pulse frequency of 2 Hz. During the secondary backwash process, an alkaline cleaning solution with a pH value of 9.0-10.0 is injected simultaneously.

9. The electrophoretic spray coating liquid recovery intelligent scheduling and pollution load balancing control system according to claim 1, characterized in that: The system also includes a backwashing execution unit, which includes a differential pressure sensor and a high-pressure pump; the differential pressure sensor is arranged at the ultrafiltration membrane assembly to monitor the ultrafiltration membrane flux attenuation rate in real time; When the differential pressure sensor detects that the ultrafiltration membrane flux attenuation rate is greater than 15%, the pollution load balancing control module is triggered to generate a high-pressure backwash instruction; The high-pressure backwash instruction controls the high-pressure pump to perform a backwash operation with a pressure of 0.6 MPa and a duration of 30-60 seconds; the backwash water source comes from the clean water tank and is pressurized and transported to the backwash cleaning execution unit.

10. The electrophoretic spray liquid recovery intelligent scheduling and pollution load balancing control system according to claim 1, characterized in that: It also includes a multi-stage treatment unit, including a bag filter, an ultrafiltration membrane assembly and an activated carbon adsorption tower that are fluidically connected in sequence, wherein the filtration accuracy of the bag filter is 10 μm; An intelligent control unit, with a built-in programmable logic controller and a human-machine interface touch screen, is used to execute the functions of the intelligent scheduling center and the system control logic. The touch screen is used for parameter setting, real-time data visualization and alarm threshold management.

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