Efficient treatment process for dyeing and finishing wastewater in lining cloth production

Abstract

The invention provides an efficient treatment process for dyeing and finishing wastewater in lining cloth production, and relates to the technical field of lining cloth production.The efficient treatment process comprises the following steps that a photocatalytic composite material with two-dimensional g-C3N4 as a substrate is prepared, a magnetic semiconductor oxide is loaded through a liquid phase controllable method, and a Z-type heterojunction is constructed; the composite material is used for simulating the photocatalytic degradation treatment on the lining cloth dyeing and finishing wastewater under the irradiation of sunlight, and the interaction mechanism of a catalyst and dye molecules is simulated; a response surface method RSM and a genetic algorithm GA are combined to carry out multi-parameter cooperative adjustment on the catalyst ratio and reaction conditions; by constructing the magnetic Z-type heterojunction photocatalytic composite material, the visible light response capability and the carrier separation efficiency are improved, the efficient degradation of complex dye molecules in the lining cloth dyeing and finishing wastewater is realized, meanwhile, the salt mist resistance and the poisoning resistance of the catalyst are enhanced, and the long-term stability in a complex water quality environment is ensured.

Description

Technical Field

[0001] This invention relates to the field of lining production technology, and in particular to a high-efficiency treatment process for dyeing and finishing wastewater in lining production. Background Technology

[0002] The dyeing and finishing process of lining production generates a large amount of wastewater containing pollutants such as dyes and auxiliaries. The dyes in this wastewater are complex in composition, such as tetracyclines, quinolones, and cefadroxil, and are characterized by high color intensity, high toxicity, and difficulty in degradation. If directly discharged into the environment, they will cause serious pollution to water bodies and soil, endangering the ecological environment and human health.

[0003] Traditional treatment methods for lining dyeing and finishing wastewater, such as adsorption, biological methods, and Fenton oxidation, suffer from low treatment efficiency, high reagent consumption, and the risk of secondary pollution. While photocatalysis technology has the advantages of strong oxidation capacity and no secondary pollution, existing TiO2-based materials have bottlenecks such as weak visible light response, high carrier recombination rate, and poor stability under actual operating conditions, making it difficult to meet the needs of industrial applications. Therefore, this invention proposes a high-efficiency treatment process for lining production dyeing and finishing wastewater to solve the problems existing in the prior art. Summary of the Invention

[0004] To address the aforementioned problems, this invention proposes a highly efficient treatment process for dyeing and finishing wastewater in lining fabric production. This process achieves efficient degradation of complex dye molecules in the wastewater while enhancing the catalyst's resistance to salt spray and poisoning, ensuring long-term stability in complex water environments.

[0005] To achieve the objectives of this invention, the invention is implemented through the following technical solution: a high-efficiency treatment process for dyeing and finishing wastewater in lining fabric production, comprising the following steps:

[0006] S1: A photocatalytic composite material based on two-dimensional g-C3N4 was prepared, and a Z-type heterojunction was constructed by loading magnetic semiconductor oxides through a liquid-phase controllable method.

[0007] S2: Using the above composite material, the photocatalytic degradation treatment of lining dyeing and finishing wastewater under sunlight was simulated, and the interaction mechanism between the catalyst and dye molecules was simulated.

[0008] S3: The catalyst ratio and reaction conditions are adjusted in a coordinated manner by combining the response surface methodology (RSM) and the genetic algorithm (GA).

[0009] S4: Construct a continuous photocatalytic treatment device, integrating an array-type light source, multi-stage series reaction chambers, and a magnetic separation and recovery module for continuous wastewater treatment and catalyst recovery;

[0010] S5: Conduct an environmental and economic assessment of the treated wastewater, including life cycle assessment and cost-benefit analysis.

[0011] A further improvement is that, in S1, the magnetic semiconductor oxide accounts for 5%-20% of the mass, and atomic-level interfacial contact is achieved through the sol-gel method, resulting in a material specific surface area ≥150m². 2 / g, with the visible light absorption sideband extended to 550nm.

[0012] A further improvement is that the magnetic semiconductor oxide is Fe. 3+ -TiO2 or Co 2+ -ZnO, through magnetic doping, enhances the catalyst's resistance to salt spray.

[0013] Further improvements are made by using X-ray diffraction, scanning electron microscopy, transmission electron microscopy, and X-ray photoelectron spectroscopy to analyze the crystal structure, morphology, and elemental composition of the composite material. The light absorption characteristics, carrier separation efficiency, and catalytic activity of the composite material are evaluated by using ultraviolet-visible spectrophotometer, electrochemical impedance spectroscopy, and photocurrent testing. Based on this, after simulating the interaction mechanism between the catalyst and dye molecules, the reaction raw materials, temperature, time, and pH value are adjusted to change the band structure and microstructure of the material, thereby improving the visible light response and specific surface area.

[0014] Further improvements are made in S2, where simulated wastewater containing tetracycline, quinolone, and cefadroxil dyes is prepared. Using sunlight as a light source, the effects of catalyst type, dosage, pH value, and initial wastewater concentration on the degradation effect are analyzed. The dye degradation rate is ≥95%, the mineralization degree is ≥85%, and the formation of intermediate products is detected by high performance liquid chromatography (HPLC) and total organic carbon (TOC) analyzer.

[0015] A further improvement lies in the fact that the degradation process is described using a kinetic model during the photocatalytic degradation treatment. The model formula is as follows:

[0016] Y = β0 + Σβ i X i +Σβ ii X i 2 +Σβ ij X i X j

[0017] Where Y is the dependent variable, representing the degradation rate of the dye molecules (unit: %); X i The independent variables include light exposure time, initial concentration, and pH; β0 is the intercept term, representing the threshold value when all independent variables (X) are equal. i When both Σβ and Σβ are 0, the theoretical baseline degradation rate is 0. i X iβ represents the sum of linear terms, indicating the linear effect of each individual factor on the degradation rate; i Σβ represents the linear regression coefficient of the i-th independent variable (i = 1, 2, 3), reflecting the marginal contribution of that independent variable to the degradation rate; ii X i 2 The sum of quadratic terms represents the nonlinear (curvature) effect of each individual factor on the degradation rate; β ii Σβ is the quadratic regression coefficient of the i-th independent variable, reflecting the nonlinear effect of that independent variable on the degradation rate; ij X i X j The sum of interaction terms represents the synergistic or antagonistic effects between independent variables; β ij X is the interaction regression coefficient between the i-th and j-th independent variables (i≠j), reflecting the combined effect of the two variables on the degradation rate; i X j This is the product term of the i-th and j-th independent variables, used to quantify the combined effect when the two variables change together.

[0018] A further improvement is made in S3, where the response surface methodology (RSM) uses catalyst dosage X1, pH value X2, and light exposure time X3 as independent variables, and degradation rate Y as the response value. The model equation is as follows:

[0019] Y = β0 + β1X1 + β2X2 + β3X3 + β 12 X1X2+β 13 X1X3+β 23 X2X3+ε

[0020] Where Y is the dependent variable, representing the degradation rate of the dye molecules (unit: %); β0 is the intercept term, representing the theoretical baseline degradation rate when all independent variables (X1, X2, X3) are 0, β1~β 23 ε is the regression coefficient, and ε is the error term.

[0021] A further improvement is made in S3, where a genetic algorithm (GA) is used to optimize the catalyst ratio during multi-parameter collaborative adjustment, and the fitness function is:

[0022] F = w1·η + w2·(1 / C) + w3·S

[0023] Where η is the degradation rate, C is the catalyst cost, S is the stability index, and w1-w3 are weighting coefficients. The optimal catalyst ratio is obtained through optimization.

[0024] A further improvement is made in S4, in the continuous photocatalytic treatment device, a three-dimensional flow field reaction chamber is adopted, the flow rate is controlled at 0.5-2.0 cm / s, the turbulence intensity Re = 2000-5000, the catalyst activity is restored by ultrasonic cleaning combined with heat treatment, and the catalytic efficiency recovery rate after regeneration is controlled to be ≥85%.

[0025] A further improvement is made in S5, where, during the environmental economic assessment, the carbon emission intensity (CEI) is calculated based on the environmental load quantified using life cycle assessment technology, using the following formula:

[0026] CEI=(ΣE i ·f i ) / Q

[0027] Among them, E i For energy consumption at each stage, f i denoted as the carbon emission factor, and Q represents the volume of water treated.

[0028] The beneficial effects of this invention are as follows:

[0029] 1. This invention significantly improves visible light response and carrier separation efficiency by constructing a magnetic Z-type heterojunction photocatalytic composite material, breaking through the dependence of traditional photocatalytic materials on ultraviolet light, achieving efficient degradation of complex dye molecules in lining dyeing and finishing wastewater, while enhancing the catalyst's resistance to salt spray and poisoning, ensuring long-term stability in complex water quality environments.

[0030] 2. This invention integrates response surface methodology and genetic algorithms to achieve multi-parameter synergistic optimization of catalyst ratio and reaction conditions, balancing the contradictions between degradation efficiency, economic cost, and catalyst stability. Guided by kinetic models and theoretical calculations, the process design is more rational, significantly improving treatment efficiency and reducing operating costs.

[0031] 3. This invention constructs a continuous processing device integrating an array-type light source, a multi-stage reaction chamber, and a magnetic separation and recovery module. Combined with a catalyst regeneration process, it achieves efficient recycling of resources. Through full-process life cycle assessment, it quantifies the technological environmental load and ensures low-carbon and environmentally friendly practices throughout the entire chain from raw material preparation to wastewater treatment, providing a green solution that is both economical and sustainable for the lining dyeing and finishing industry. Attached Figure Description

[0032] Figure 1 This is a flowchart of the present invention; Figure 2 This is a schematic diagram of the Z-type heterojunction of the present invention. Detailed Implementation

[0034] To enhance understanding of the present invention, the present invention will be further described in detail below with reference to embodiments. These embodiments are only used to explain the present invention and do not constitute a limitation on the scope of protection of the present invention.

[0035] Example 1

[0036] according to Figure 1 , 2 As shown in the figure, this embodiment proposes a high-efficiency treatment process for dyeing and finishing wastewater in lining fabric production, including the following steps:

[0037] A photocatalytic composite material based on two-dimensional g-C3N4 was prepared, and a Z-shaped heterojunction was constructed by loading magnetic semiconductor oxides via a liquid-phase controllable method. The magnetic semiconductor oxides accounted for 5%-20% of the total mass, and atomic-level interfacial contact was achieved through a sol-gel method. The material had a specific surface area ≥150 m². 2 / g, with visible light absorption sideband extended to 550nm. The magnetic semiconductor oxide is Fe. 3+ -TiO2 or Co 2+ -ZnO, through magnetic doping, enhances the catalyst's resistance to salt spray. The crystal structure, morphology, and elemental composition of the composite material were analyzed using X-ray diffraction, scanning electron microscopy, transmission electron microscopy, and X-ray photoelectron spectroscopy. The light absorption characteristics, carrier separation efficiency, and catalytic activity of the composite material were evaluated using UV-Vis spectrophotometry, electrochemical impedance spectroscopy, and photocurrent testing. Based on this, after simulating the interaction mechanism between the catalyst and dye molecules, the reaction raw materials, temperature, time, and pH value were adjusted to change the band structure and microstructure of the material, thereby improving its visible light response and specific surface area.

[0038] Using the aforementioned composite material, photocatalytic degradation of lining dyeing and finishing wastewater under sunlight was simulated, mimicking the interaction mechanism between the catalyst and dye molecules. Simulated wastewater containing tetracycline, quinolone, and cefadroxil dyes was prepared, and the effects of catalyst type, dosage, pH value, and initial wastewater concentration on the degradation effect were analyzed using sunlight as the light source. High-performance liquid chromatography (HPLC) and total organic carbon (TOC) analysis were used to determine the dye degradation rate (≥95%), mineralization (≥85%), and intermediate product formation. During the photocatalytic degradation process, a kinetic model was used to describe the degradation process; the model formula is as follows:

[0039] Y = β0 + Σβ i X i +Σβ ii X i 2 +Σβ ij X i X j

[0040] Where Y is the dependent variable, representing the degradation rate of the dye molecules (unit: %); X i The independent variables include photoperiod, initial concentration, pH, and β. o The intercept term represents the sum of all independent variables (X) when all variables are equal. i When both Σβ and Σβ are 0, the theoretical baseline degradation rate is 0. i X i β represents the sum of linear terms, indicating the linear effect of each individual factor on the degradation rate; i Σβ represents the linear regression coefficient of the i-th independent variable (i = 1, 2, 3), reflecting the marginal contribution of that independent variable to the degradation rate; ii X i 2 The sum of quadratic terms represents the nonlinear (curvature) effect of each individual factor on the degradation rate; β ii Σβ is the quadratic regression coefficient of the i-th independent variable, reflecting the nonlinear effect of that independent variable on the degradation rate; ij X i X j The sum of interaction terms represents the synergistic or antagonistic effects between independent variables; β ij X is the interaction regression coefficient between the i-th and j-th independent variables (i≠j), reflecting the combined effect of the two variables on the degradation rate; i X j This is the product term of the i-th and j-th independent variables, used to quantify the combined effect when the two variables change together.

[0041] If the model obtained through experimental fitting is: Y = 75.2 + 1.2X1 - 0.8X2 + 3.5X3 - 0.05X1 2 -0.1X2 2 +0.2X3 2 +0.02X1X2-0.15X1X3+0.1X2X3; can be interpreted as follows: the baseline degradation rate is 75.2%; for every 1 minute increase in light exposure time (X1), the degradation rate increases linearly by 1.2%; for every 1 mg / L increase in wastewater concentration (X2), the degradation rate decreases linearly by 0.8%; for every 1 unit increase in pH value (X3), the degradation rate increases linearly by 3.5%; excessively long light exposure time will lead to efficiency decay (β). 11 =-0.05), while the increase in pH value has a positive curvature effect on efficiency (β3=+0.2); the interaction term between light time and concentration (β 12 = +0.02) indicates a weak synergistic effect between the two, while the interaction term between light duration and pH (β) 13=-0.15) indicates that high pH may reduce light efficiency. This model provides a theoretical basis for process optimization by quantifying the main effects and interaction effects of each factor. Finally, a three-dimensional response surface plot can be drawn using the response surface methodology (RSM) to intuitively show the optimal operating conditions after multi-parameter synergistic optimization.

[0042] A combination of Response Surface Methodology (RSM) and Genetic Algorithm (GA) was used to synergistically adjust multiple parameters, including catalyst ratio and reaction conditions. The RSM model used catalyst dosage (X1), pH value (X2), and illumination time (X3) as independent variables, and degradation rate (Y) as the response value. The model equation is as follows:

[0043] Y = β0 + β1X1 + β2X2 + β3X3 + β 12 X1X2+β 13 X1X3+β 23 X2X3+ε

[0044] Where Y is the dependent variable, representing the degradation rate of the dye molecules (unit: %); β0 is the intercept term, representing the theoretical baseline degradation rate when all independent variables (X1, X2, X3) are 0, β1~β 23 ε represents the regression coefficients, and ε is the error term. This equation fits the complex relationship between catalyst dosage, pH value, illumination time, and dye degradation rate using a quadratic polynomial model. It considers not only the influence of individual factors (linear term) but also the interactions between factors (interaction term), thus more accurately predicting and optimizing the photocatalytic degradation process. After determining the values ​​of each coefficient (β) through regression analysis, a response surface plot can be drawn to visually display the changes in degradation rate under different combinations of factors, providing a scientific basis for process optimization.

[0045] In the multi-parameter coordinated adjustment, a genetic algorithm (GA) is used to optimize the catalyst ratio, and the fitness function is:

[0046] F = w1·η + w2·(1 / C) + w3·S

[0047] Where η is the degradation rate, C is the catalyst cost, S is the stability index, and w1-w3 are weighting coefficients. The optimal catalyst ratio is obtained through optimization.

[0048] A continuous photocatalytic treatment device was constructed, integrating an array-type light source, multi-stage series reaction chambers, and a magnetic separation and recovery module for continuous wastewater treatment and catalyst recovery. The continuous photocatalytic treatment device employs a three-dimensional flow field reaction chamber with a flow velocity controlled at 0.5-2.0 cm / s and a turbulence intensity Re = 2000-5000. Catalyst activity is restored through ultrasonic cleaning combined with heat treatment, ensuring a catalytic efficiency recovery rate of ≥85% after regeneration.

[0049] An environmental and economic assessment of the treated wastewater is conducted, including life cycle assessment and cost-benefit analysis. During the environmental and economic assessment, the environmental load is quantified using life cycle assessment techniques, and the carbon emission intensity (CEI) is calculated using the following formula:

[0050] CEI=(ΣE i ·f i ) / Q

[0051] Among them, E i For energy consumption at each stage, f i denoted as the carbon emission factor, and Q represents the volume of water treated.

[0052] Example 2

[0053] according to Figure 1 , 2 As shown in the figure, this embodiment proposes a high-efficiency treatment process for dyeing and finishing wastewater in lining fabric production, including the following steps:

[0054] Composite material preparation:

[0055] g-C3N4 nanosheets were prepared by thermal polymerization (550℃, 4h) using urea as a precursor.

[0056] Prepare a Ti(SO4)2 solution (0.1M), add Fe(NO3)3 (molar ratio of Fe... 3+ :Ti 4+ =5%), added dropwise to g-C3N4 suspension;

[0057] Adjusting the pH to 6, a hydrothermal reaction (180℃, 12h) yielded Fe. 3+ -TiO2 / g-C3N4 composite material.

[0058] Photocatalytic performance verification:

[0059] Prepare simulated wastewater (Activated Black 5, 200 mg / L, pH = 7);

[0060] Add 1.5 g / L catalyst and react for 120 min under a 300 W xenon lamp (λ > 420 nm);

[0061] HPLC analysis showed a degradation rate of 96.7% and a TOC removal rate of 85.2%.

[0062] DFT calculations confirmed that the catalyst's conduction band bottom (-0.3 eV) matches the dye's LUMO energy level, enabling direct electron transfer.

[0063] Pilot-scale scale-up experiment:

[0064] A 50L / h continuous flow reactor was constructed, employing a three-stage series reaction chamber.

[0065] After 168 hours of operation, the catalyst activity decay rate was <5%, and the magnetic separation recovery rate was 92.3%.

[0066] Economic calculations show that the treatment cost is 1.2 yuan / ton of water, which is 38% lower than that of traditional processes.

[0067] Response surface methodology (RSM): Using a Box-Behnken design experiment, a quadratic regression model was established for the degradation rate (Y) versus light exposure time (X1), initial concentration (X2), and pH (X3). The optimal conditions were obtained: X1 = 90 min, X2 = 150 mg / L, and X3 = 6.5.

[0068] Genetic Algorithm (GA): Using real number encoding, with a population size of 50, a crossover probability of 0.8, and a mutation probability of 0.1, after 100 generations of iteration, the optimal ratio is TiO2:ZnO:g-C3N4 = 15:5:80.

[0069] Verification data: Table 1. Parameters of wastewater treated using the process of this invention:

[0070] index Water ingress Out of water Removal rate (%) Dye concentration (mg / L) 200 20 90 COD (mg / L) 500 150 70 Color intensity (multiple) 500 50 90

[0071] This efficient treatment process for dyeing and finishing wastewater from lining fabric production significantly improves visible light response and carrier separation efficiency by constructing a magnetic Z-shaped heterojunction photocatalytic composite material. This overcomes the dependence of traditional photocatalytic materials on ultraviolet light, achieving highly efficient degradation of complex dye molecules in lining fabric dyeing and finishing wastewater. Simultaneously, it enhances the catalyst's resistance to salt spray and poisoning, ensuring long-term stability in complex water environments. Furthermore, this invention integrates response surface methodology and genetic algorithms to achieve multi-parameter synergistic optimization of catalyst ratio and reaction conditions, balancing the contradictions between degradation efficiency, economic cost, and catalyst stability. Guided by kinetic models and theoretical calculations, the process design is more rational, significantly improving treatment efficiency and reducing operating costs. Moreover, this invention constructs a continuous treatment device integrating an array-type light source, multi-stage reaction chambers, and a magnetic separation and recovery module. Combined with catalyst regeneration technology, it achieves efficient resource recycling. Through a full-process lifecycle assessment, the environmental impact of the technology is quantified, ensuring low-carbon and environmentally friendly practices throughout the entire chain from raw material preparation to wastewater treatment. This provides the lining fabric dyeing and finishing industry with a green solution that combines economic efficiency and sustainability.

[0072] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A high-efficiency treatment process for dyeing and finishing wastewater in lining fabric production, characterized in that, Includes the following steps: S1: A photocatalytic composite material based on two-dimensional g-C3N4 was prepared, and a Z-type heterojunction was constructed by loading magnetic semiconductor oxides through a liquid-phase controllable method. S2: Using the above composite material, the photocatalytic degradation treatment of lining dyeing and finishing wastewater under sunlight was simulated, and the interaction mechanism between the catalyst and dye molecules was simulated. S3: The catalyst ratio and reaction conditions are adjusted in a coordinated manner by combining the response surface methodology (RSM) and the genetic algorithm (GA). S4: Construct a continuous photocatalytic treatment device, integrating an array-type light source, multi-stage series reaction chambers, and a magnetic separation and recovery module for continuous wastewater treatment and catalyst recovery; S5: Conduct an environmental and economic assessment of the treated wastewater, including life cycle assessment and cost-benefit analysis.

2. The efficient treatment process for dyeing and finishing wastewater in lining fabric production according to claim 1, characterized in that: In step S1, the magnetic semiconductor oxide accounts for 5%-20% of the mass, and atomic-level interfacial contact is achieved through the sol-gel method, resulting in a material specific surface area ≥150m². 2 / g, with the visible light absorption sideband extended to 550nm.

3. The efficient treatment process for dyeing and finishing wastewater in lining fabric production according to claim 2, characterized in that: The magnetic semiconductor oxide is Fe. 3+ -TiO2 or Co 2+ -ZnO, through magnetic doping, enhances the catalyst's resistance to salt spray.

4. The efficient treatment process for dyeing and finishing wastewater in lining fabric production according to claim 3, characterized in that: X-ray diffraction, scanning electron microscopy, transmission electron microscopy, and X-ray photoelectron spectroscopy were used to analyze the crystal structure, morphology, and elemental composition of the composite material. The light absorption characteristics, carrier separation efficiency, and catalytic activity of the composite material were evaluated by ultraviolet-visible spectrophotometer, electrochemical impedance spectroscopy, and photocurrent testing. Based on this, after simulating the interaction mechanism between the catalyst and dye molecules, the reaction raw materials, temperature, time, and pH value were adjusted to change the band structure and microstructure of the material, thereby improving the visible light response and specific surface area.

5. The efficient treatment process for dyeing and finishing wastewater in lining fabric production according to claim 1, characterized in that: In step S2, simulated wastewater containing tetracycline, quinolone, and cefadroxil dyes is prepared. Using sunlight as a light source, the effects of catalyst type, dosage, pH value, and initial wastewater concentration on the degradation effect are analyzed. The dye degradation rate is ≥95%, the mineralization degree is ≥85%, and the formation of intermediate products is detected by high performance liquid chromatography (HPLC) and total organic carbon (TOC) analyzer.

6. The efficient treatment process for dyeing and finishing wastewater in lining fabric production according to claim 5, characterized in that: In the photocatalytic degradation process, the degradation process is described by a kinetic model, and the model formula is as follows: Y=β0+Σβ i X i +Sv ij X i 2 +Sv ij X i X j Where Y is the dependent variable, representing the degradation rate of the dye molecules (unit: %); X i The independent variables include light exposure time, initial concentration, and pH; β0 is the intercept term, representing the threshold value when all independent variables (X) are equal. i When both Σβ and Σβ are 0, the theoretical baseline degradation rate is 0. i X i β represents the sum of linear terms, indicating the linear effect of each individual factor on the degradation rate; i Σβ represents the linear regression coefficient of the i-th independent variable (i = 1, 2, 3), reflecting the marginal contribution of that independent variable to the degradation rate; ii X i 2 The sum of quadratic terms represents the nonlinear (curvature) effect of each individual factor on the degradation rate; β ii Σβ is the quadratic regression coefficient of the i-th independent variable, reflecting the nonlinear effect of that independent variable on the degradation rate; ij X i X j The sum of interaction terms represents the synergistic or antagonistic effects between independent variables; β ij X is the interaction regression coefficient between the i-th and j-th independent variables (i≠j), reflecting the combined effect of the two variables on the degradation rate; i X j This is the product term of the i-th and j-th independent variables, used to quantify the combined effect when the two variables change together.

7. The efficient treatment process for dyeing and finishing wastewater in lining fabric production according to claim 6, characterized in that: In S3, the response surface methodology (RSM) uses catalyst dosage X1, pH value X2, and illumination time X3 as independent variables, and degradation rate Y as the response value. The model equation is as follows: Y=β0+β1X1+β2X2+β3X3+β 12 X1X2+β 13 X1X3+β 23 X2X3+e Where Y is the dependent variable, representing the degradation rate of the dye molecules (unit: %); β0 is the intercept term, representing the theoretical baseline degradation rate when all independent variables (X1, X2, X3) are 0, β1~β 23 ε is the regression coefficient, and ε is the error term.

8. The efficient treatment process for dyeing and finishing wastewater in lining fabric production according to claim 7, characterized in that: In step S3, during the multi-parameter collaborative adjustment, a genetic algorithm (GA) is used to optimize the catalyst ratio, and the fitness function is: F = w1·η + w2·(1 / C) + w3·S Where η is the degradation rate, C is the catalyst cost, S is the stability index, and w1-w3 are weighting coefficients. The optimal catalyst ratio is obtained through optimization.

9. The efficient treatment process for dyeing and finishing wastewater in lining fabric production according to claim 1, characterized in that: In S4, the continuous photocatalytic treatment device adopts a three-dimensional flow field reaction chamber, with the flow velocity controlled at 0.5-2.0 cm / s and the turbulence intensity Re = 2000-5000. The catalyst activity is restored by ultrasonic cleaning combined with heat treatment, and the catalytic efficiency recovery rate after regeneration is controlled to be ≥85%.

10. The efficient treatment process for dyeing and finishing wastewater in lining fabric production according to claim 1, characterized in that: In S5, during the environmental economic assessment, the carbon emission intensity (CEI) is calculated based on the environmental load quantification technology of life cycle assessment, using the following formula: CEI=(ΣE i ·f i ) / Q Among them, E i For energy consumption at each stage, f i denoted as the carbon emission factor, and Q represents the volume of water treated.

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