Advanced treatment method for cold rolling acidic wastewater

Abstract

The invention discloses an advanced treatment method for cold rolling acidic wastewater, and relates to the technical field of industrial wastewater treatment, and the advanced treatment method comprises the following steps: in the process of treating the cold rolling acidic wastewater through a photocatalytic oxidation method, acquiring concentration data of harmful substances in the wastewater in real time, and knowing the pollution degree of the wastewater; and preprocessing the obtained harmful substance data information, and performing integrated management on the preprocessed data to establish a data set. By monitoring the concentration of harmful substances in wastewater in real time and performing intelligent evaluation, the system can dynamically adjust the dosage of a photocatalyst, the power of an ultraviolet light source and the illumination duration, and the photocatalytic reaction is kept in an optimal state. The method not only avoids excessive load of the catalyst and blocking of active sites, but also can adjust treatment parameters according to the pollution degree of the wastewater, ensures efficient removal of harmful substances, improves the wastewater treatment effect, and reduces resource waste and operation cost at the same time.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial wastewater treatment, and particularly to a method for the advanced treatment of cold-rolled acidic wastewater. Background Art

[0002] The advanced treatment of cold-rolled acidic wastewater refers to the comprehensive and thorough treatment of the acidic wastewater generated during the production of cold-rolled steel to remove harmful substances in the wastewater, such as acids, metal ions (Fe 2+ , Fe 3+ , etc.), organic substances, etc., to achieve a higher purification effect and meet the environmental protection discharge standards. The advanced treatment not only includes conventional neutralization or precipitation treatment, but also involves the use of advanced technologies such as membrane separation, Fenton oxidation reaction, acid regeneration, adsorption method, etc. to completely remove or recycle the harmful components in the wastewater, realizing the resource utilization and minimum discharge of the wastewater. Through advanced treatment, environmental pollution can be effectively reduced, resources can be saved and treatment costs can be reduced, thus achieving better environmental protection and economic benefits.

[0003] The advanced treatment of cold-rolled acidic wastewater can be carried out by photocatalytic oxidation. The photocatalytic oxidation method uses a photocatalyst (such as titanium dioxide TiO2) to generate strongly oxidizing free radicals (such as hydroxyl radicals ·OH and superoxide anions O2 ·- ) under ultraviolet light irradiation. These free radicals can efficiently degrade harmful substances in the wastewater. In cold-rolled acidic wastewater, common pollutants include organic acids, phenolic substances, metal ions (such as Fe 2+ , Fe 3+ , etc.). The photocatalytic oxidation method can effectively remove these harmful substances through a strong oxidation reaction, reduce the pollutant concentration in the wastewater, and achieve the purpose of advanced treatment. In addition, the photocatalytic oxidation method can avoid the problems of generating a large amount of sludge and secondary pollution in traditional treatment methods, and has high energy efficiency and sustainability. Through the photocatalytic reaction, harmful substances in the wastewater can be completely degraded or converted into harmless substances, such as water and carbon dioxide, thus achieving the goal of purifying water quality and reducing environmental pollution.

[0004] The prior art has the following deficiencies: In the process of treating cold-rolled acidic wastewater by photocatalytic oxidation, the wastewater may contain a large amount of harmful substances. When the concentration of harmful substances in the wastewater is relatively high, these harmful substances may be adsorbed onto the surface of the photocatalyst in large quantities. At this time, the active sites of the photocatalyst may reach the "light saturation" state due to excessive adsorption of pollutants, that is, the active sites on the catalyst surface are covered or blocked by pollutants and cannot effectively react with the harmful substances in the wastewater. This phenomenon will lead to a decrease in the catalytic ability of the photocatalyst and a significant reduction in the degradation efficiency of harmful substances in the wastewater, thereby affecting the overall treatment effect of the photocatalytic reaction. Specifically, the pollutants adsorbed on the surface of the photocatalyst will reduce its contact opportunities with other harmful substances in the wastewater, resulting in a significant decrease in the reaction efficiency, thus failing to meet the requirements of wastewater treatment and even possibly causing the operation interruption or failure of the treatment system.

[0005] The above information disclosed in the background art section is only used to enhance the understanding of the background of the present disclosure, and thus it may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0006] The object of the present invention is to provide a method for the advanced treatment of cold-rolled acidic wastewater. By real-time monitoring the concentration of harmful substances in the wastewater and conducting intelligent evaluation, the system can dynamically adjust the dosage of the photocatalyst, the power of the ultraviolet light source, and the illumination duration to keep the photocatalytic reaction in an optimal state. This not only avoids overloading of the catalyst and blockage of the active sites, but also adjusts the treatment parameters according to the pollution degree of the wastewater to ensure efficient removal of harmful substances, improve the wastewater treatment effect, and at the same time reduce resource waste and operating costs, so as to solve the problems in the above background art.

[0007] To achieve the above object, the present invention provides the following technical solution: A method for the advanced treatment of cold-rolled acidic wastewater, comprising the following steps:

[0008] During the process of treating cold-rolled acidic wastewater by photocatalytic oxidation, the concentration data of harmful substances in the wastewater is obtained in real time to understand the pollution degree of the wastewater;

[0009] The obtained harmful substance data information is preprocessed, and the preprocessed data is managed in a centralized manner to establish a data set;

[0010] The decisive variables reflecting the excessive concentration of pollutants in the wastewater are extracted from the data set, and the extracted decisive variables are comprehensively analyzed to comprehensively evaluate whether the concentration of harmful substances in the current wastewater exceeds the standard;

[0011] The decisive variables after comprehensive analysis are input into a pre-trained machine learning model, and the model is used to conduct intelligent evaluation of the concentration of harmful substances in the current wastewater to determine whether the concentration of harmful substances in the wastewater exceeds the standard;

[0012] When it is recognized that the concentration of harmful substances in the wastewater exceeds the standard, based on the pollutant concentration data, the dosage of the photocatalyst is dynamically adjusted to provide more active sites; at the same time, according to the intelligent evaluation results, the power and illumination duration of the ultraviolet light source are dynamically adjusted to enhance the intensity of the photocatalytic reaction, promote the generation of more free radicals on the catalyst surface, so as to ensure that the harmful substances in the wastewater are fully degraded.

[0013] Preferably, in the process of treating cold-rolled acidic wastewater by photocatalytic oxidation, the specific steps of obtaining the concentration data of harmful substances in the wastewater in real time are as follows:

[0014] According to the types of pollutants in the wastewater, select the detection equipment that meets the requirements to monitor the concentration of harmful substances in real time;

[0015] Continuously collect the pollutant concentration data in the wastewater through an automated system to ensure that the changes in pollutants during the treatment process are reflected in real time;

[0016] Transmit the collected real-time data to the data platform through the network for storage to ensure the accuracy and integrity of the data and provide a reliable basis for subsequent analysis and processing.

[0017] Preferably, extract the decisive variables reflecting the excessive concentration of pollutants in the wastewater from the data set. The extracted variables include the change rate of the dissolved ion concentration in the wastewater and the concentration of reactive chemical molecules in the wastewater. Under the detection window, comprehensively analyze the change rate of the dissolved ion concentration in the wastewater and the concentration of reactive chemical molecules in the wastewater extracted, generate the reference value of the dissolved ion concentration change rate and the reference value of reactive molecules, and comprehensively evaluate whether the concentration of harmful substances in the current wastewater exceeds the standard through the reference value of the dissolved ion concentration change rate and the reference value of reactive molecules.

[0018] Preferably, the specific steps of analyzing the change rate of the dissolved ion concentration in the wastewater under the detection window to generate the reference value of the dissolved ion concentration change rate are as follows:

[0019] Precisely calculate the change of the dissolved ion concentration over time, analyze the change rate of the dissolved ion concentration in the wastewater over time, that is, within the time interval, the relationship between the increment of the dissolved ion concentration and time. The calculation expression is as follows:

[0020]

[0021] In the formula, ΔConc i is the change rate of the concentration of the i-th dissolved ion within the time period Δt, Δt is the time interval, Conc i (t) is the concentration of the i-th dissolved ion at time t, Conc i (t + Δt) is the concentration of the i-th dissolved ion at time t + Δt;

[0022] After obtaining the concentration change rates of various dissolved ions in the wastewater, the obtained concentration changes are synthesized to generate a reference value for the concentration change rate of dissolved ions. The calculation expression is as follows:

[0023]

[0024] In the formula, DICCR is the reference value of the concentration change rate of dissolved ions, and α i is the weight coefficient of the concentration change rate of dissolved ions, indicating the sensitivity of the dissolved ion to the excess of pollutant concentration in the wastewater. n is the number of dissolved ion species.

[0025] Preferably, the specific steps for analyzing the concentration of reactive chemical molecules in the wastewater to generate a reference value of reactive molecules under the detection window are as follows:

[0026] Monitor the concentration change of reactive chemical molecules in the wastewater through a real-time detection device. Reactive molecules are important intermediates in the degradation process of wastewater pollutants. The concentration of reactive molecules reflects the activity degree of redox reactions in the wastewater. Obtain the concentration data of various reactive chemical molecules in the wastewater in real time and convert them into numerical values. The calculation formula for the concentration of initial reactive chemical molecules is as follows:

[0027]

[0028] In the formula, RCI is the concentration index of initial reactive chemical molecules, and C j (t) is the concentration of the jth reactive chemical molecule at time t, and W j is the weight coefficient of the jth reactive chemical molecule, representing the contribution degree of the molecule in the degradation of wastewater. T is the total duration of the detection window, and m is the number of types of all detected reactive molecules in the wastewater;

[0029] After obtaining the concentration index RCI of initial reactive chemical molecules, conduct a dynamic assessment to judge whether harmful substances in the wastewater exceed the standard. To accurately judge whether the pollutant concentration exceeds the standard, introduce a dynamic threshold assessment model, and compare the concentration index of initial reactive chemical molecules with the set excess standard threshold. The formula for the dynamic assessment process is as follows:

[0030]

[0031] In the formula, RM is the reference value of reactive molecules, and C threshold is the excess standard threshold of concentration, and k is a dynamic adjustment factor to control the index sensitivity.

[0032] Preferably, the reference value of the change rate of dissolved ion concentration and the reference value of reactive molecules after comprehensive analysis are input into a pre-trained machine learning model. The machine learning model generates a harmful substance concentration change coefficient, and the current wastewater harmful substance concentration is intelligently evaluated through the harmful substance concentration change coefficient to determine whether the wastewater harmful substance concentration exceeds the standard.

[0033] Preferably, when the harmful substance concentration change coefficient generated during the intelligent evaluation of the current wastewater harmful substance concentration by a pre-trained machine learning model is compared and analyzed with a pre-set reference threshold of the harmful substance concentration change coefficient, it is determined whether the wastewater harmful substance concentration exceeds the standard. The judgment logic is as follows:

[0034] If the harmful substance concentration change coefficient is greater than the pre-set reference threshold of the harmful substance concentration change coefficient, it is determined that the current wastewater harmful substance concentration exceeds the standard; if the harmful substance concentration change coefficient is less than or equal to the pre-set reference threshold of the harmful substance concentration change coefficient, it is determined that the current wastewater harmful substance concentration does not exceed the standard.

[0035] Preferably, when it is identified that the harmful substance concentration in the wastewater exceeds the standard, based on the pollutant concentration data, the dosage of the photocatalyst is dynamically adjusted to provide more active sites; at the same time, according to the intelligent evaluation result, the power and illumination duration of the ultraviolet light source are dynamically adjusted to enhance the intensity of the photocatalytic reaction. The specific steps are as follows:

[0036] When it is identified that the harmful substance concentration in the wastewater exceeds the standard, the dosage of the photocatalyst is increased to provide more active sites, thereby enhancing the degradation effect of pollutants in the wastewater. The dynamic adjustment calculation expression of the photocatalyst dosage is as follows:

[0037]

[0038] In the formula, C catalyst is the adjusted dosage of the photocatalyst, C catalyst，base is the basic dosage of the photocatalyst, ΔC catalyst is the increment coefficient of the basic dosage, HSCC is the harmful substance concentration change coefficient, HSCC threshold is the reference threshold of the harmful substance concentration change coefficient, and e is the natural logarithm base;

[0039] The power of the ultraviolet light source determines the energy input of the photocatalytic reaction. Adjust the power of the ultraviolet light source to promote the generation of more free radicals on the catalyst surface and enhance the intensity of the photocatalytic reaction. The dynamic adjustment calculation expression of the ultraviolet light source power is as follows:

[0040]

[0041] In the formula, P UVis the adjusted power of the ultraviolet light source, P UV，base is the basic power of the ultraviolet light source, and α is the adjustment coefficient;

[0042] Increasing the illumination duration provides more time for the reaction to ensure that the harmful substances in the wastewater are fully reacted. By extending the illumination duration, the reaction time between the pollutants and the free radicals generated by the catalyst will be increased, thereby effectively improving the reaction efficiency. The dynamic adjustment calculation expression of the illumination duration is as follows:

[0043]

[0044] In the formula, t light is the adjusted illumination duration, t light，base is the basic illumination duration, and γ is the illumination duration adjustment coefficient.

[0045] In the above technical solution, the technical effects and advantages provided by the present invention are as follows:

[0046] By obtaining the concentration data of harmful substances in the wastewater in real time and performing intelligent evaluation, the system of the present invention can dynamically adjust the dosage of the photocatalyst, the power of the ultraviolet light source, and the illumination duration to ensure that the photocatalytic reaction is always in the optimal state. This can not only avoid the overloading of the catalyst and the blockage of active sites, but also intelligently adjust the treatment parameters according to the pollution degree of the wastewater, give full play to the degradation ability of the photocatalytic reaction, ensure that the harmful substances in the wastewater are fully removed, and finally achieve the efficient and stable deep treatment effect of wastewater, while reducing resource waste and operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0048] Figure 1 is the method flow chart of the deep treatment method for cold-rolled acidic wastewater of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0049] Now, the exemplary embodiments will be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be implemented in various forms and should not be construed as limited to the examples set forth herein; rather, these exemplary embodiments are provided so that the present disclosure will be more complete and comprehensive, and will fully convey the concept of the exemplary embodiments to those skilled in the art.

[0050] The present invention provides a deep treatment method for cold-rolled acidic wastewater as shown in Figure 1 and includes the following steps:

[0051] During the process of treating cold-rolled acidic wastewater by photocatalytic oxidation, the concentration data of harmful substances in the wastewater is obtained in real time to understand the degree of wastewater pollution;

[0052] The acquisition of the concentration data of harmful substances can be carried out through devices such as on-line sensors, spectrometers, chemical analyzers, etc., to ensure that the concentrations of various pollutants (such as organic substances, metal ions, etc.) in the wastewater are accurately monitored.

[0053] Obtaining the data of harmful substances in the wastewater in real time is the basis for ensuring the intelligentization and dynamic regulation of the treatment process. The sensor can continuously monitor the change trend of pollutants in the wastewater and provide real-time input for subsequent data analysis and processing. This stage is crucial for the precise control of the reaction process, especially in the case of high pollution load, where the change in pollutant concentration can be captured in real time to prevent over-treatment or under-treatment. For the various pollutants that may exist in the wastewater (such as Fe 2+ 、Fe 3+ 、phenolic substances, phenolsulfonic acid, etc.), appropriate detection devices should be selected according to different chemical characteristics.

[0054] During the process of treating cold-rolled acidic wastewater by photocatalytic oxidation, the specific steps for obtaining the concentration data of harmful substances in the wastewater are as follows:

[0055] According to the types of pollutants in the wastewater, select the detection devices that meet the requirements to monitor the concentration of harmful substances in real time;

[0056] When treating cold-rolled acidic wastewater by photocatalytic oxidation, it is first necessary to select suitable monitoring devices, which will detect the concentration of pollutants in the wastewater in real time. Common monitoring devices include: chemical sensors, spectrometers, ion-selective electrodes, etc. According to the types of pollutants in the wastewater (such as metal ions, phenols, acidic substances, etc.), selecting the corresponding sensors can ensure the measurement accuracy. For example, the concentration of metal ions (such as Fe 2+ 、Fe 3+ ) can be detected by electrochemical sensors, while organic pollutants can be monitored by spectrometers. The devices should have stability, anti-interference ability and real-time data transmission ability for subsequent real-time monitoring.

[0057] Continuously collect the concentration data of pollutants in the wastewater through an automated system to ensure that the changes in pollutants during the treatment process are reflected in real time;

[0058] The selected monitoring equipment will work continuously during the wastewater treatment process, measuring and collecting the concentration data of harmful substances in the wastewater in real time. These data can be collected through an automated system to ensure that the pollutant concentration at each moment can be accurately recorded. The sampling interval can be set according to the change frequency of the pollutant concentration in the wastewater, usually real-time sampling at the second level, minute level, etc. The data acquisition system should have the ability to transmit the data to the control center or data processing platform in real time, so as to quickly respond to the changes in the processing system and ensure that the monitoring results can be promptly applied to the optimization and adjustment of wastewater treatment.

[0059] Transmit the collected real-time data to the data platform through the network for storage, ensuring the accuracy and integrity of the data, and providing a reliable basis for subsequent analysis and processing.

[0060] Once the concentration data of harmful substances in the wastewater is collected, the next key step is to transmit these data to the central processing system or cloud platform for storage. This process involves real-time data transmission, usually through wireless networks (such as Wi-Fi, LoRa, Bluetooth, etc.) or wired networks (such as Ethernet, optical fiber, etc.) to transmit the data to the data center. During the data storage process, the data should ensure integrity and accuracy, ensuring that there is no loss or tampering. At the same time, the data should be backed up regularly to prevent data loss caused by system failures. The stored data can be used for historical analysis to help identify long-term pollution trends in the wastewater and also provide basic data support for the training and real-time intelligent evaluation of machine learning models.

[0061] Preprocess the obtained harmful substance data information, and manage the preprocessed data in a centralized manner to establish a data set;

[0062] Preprocessing the real-time obtained data is to improve the data quality and ensure its adaptation to the requirements of machine learning algorithms. Preprocessing usually includes the following steps: data denoising (eliminating sensor errors through filtering, smoothing, etc.), missing value filling (using interpolation, mean filling, etc.), and data standardization or normalization (to make the data on the same scale and avoid the influence of certain pollutants due to unit differences on the analysis results). This process is crucial for ensuring that subsequent machine learning models can efficiently process the data and obtain accurate results.

[0063] The data set is the core in the machine learning process. This set not only includes the concentration data of different pollutants in the wastewater, but also can record other relevant variables (such as water temperature, pH value, etc.). These data will be organized in a time series to form a complete historical data set. As time goes by, the data set continuously grows, and the machine learning model can use these historical data for training and optimization, so as to improve its prediction ability. In addition, this data set can also include the actual effects (such as pollutant degradation rate, etc.) during each reaction process, enabling the machine learning model to not only evaluate the current situation, but also predict the future change trends.

[0064] Extract the decisive variables reflecting the excessive concentration of pollutants in the wastewater from the data set, and conduct a comprehensive analysis of the extracted decisive variables to comprehensively evaluate whether the concentration of harmful substances in the current wastewater exceeds the standard;

[0065] Extract the decisive variables reflecting the excessive concentration of pollutants in the wastewater from the data set. The extracted variables include the change rate of the concentration of dissolved ions in the wastewater and the concentration of reactive chemical molecules (such as free radicals, active molecules, etc.) in the wastewater. Under the detection window, conduct a comprehensive analysis of the change rate of the concentration of dissolved ions in the extracted wastewater and the concentration of reactive chemical molecules (such as free radicals, active molecules, etc.) in the wastewater to generate a reference value for the change rate of the concentration of dissolved ions and a reference value for reactive molecules, and comprehensively evaluate whether the concentration of harmful substances in the current wastewater exceeds the standard through the reference value for the change rate of the concentration of dissolved ions and the reference value for reactive molecules.

[0066] The acceleration of the change rate of the concentration of dissolved ions in the wastewater may indeed indicate that the concentration of harmful substances in the current wastewater exceeds the standard, especially when the wastewater contains pollutants such as soluble heavy metal ions, organic acids or salts. The change rate of the concentration of dissolved ions refers to the change rate of the concentration of dissolved ions in the wastewater over time, and this change is usually closely related to the progress of chemical reactions in the wastewater. When the concentration of harmful substances in the wastewater is high, the pollutants will react with other chemical components in the water, resulting in a rapid change in the concentration of dissolved ions. For example, if the wastewater contains a large amount of metal ions or organic acids, these pollutants will quickly react with other components in the water, causing the concentration of dissolved ions to increase rapidly. At this time, the acceleration of the change rate of the concentration of dissolved ions usually means that the concentration of harmful substances in the water has reached or is close to exceeding the standard, which may lead to more serious pollution or water quality changes. Therefore, the acceleration of the change rate of the concentration of dissolved ions can be used as an effective indicator of wastewater pollution exceeding the standard, indicating that the concentration of pollutants in the wastewater is too high, and further treatment measures need to be taken immediately to avoid environmental pollution or adverse effects on the water body ecosystem.

[0067] The specific steps for analyzing the change rate of the concentration of dissolved ions in the wastewater under the detection window to generate a reference value for the change rate of the concentration of dissolved ions are as follows:

[0068] Precisely calculate the change in the concentration of dissolved ions over time, and analyze the rate of change in the concentration of dissolved ions in the wastewater over time, that is, within the time interval, the relationship between the increment of the dissolved ion concentration and time. The calculation expression is as follows:

[0069]

[0070] In the formula, ΔConc i is the rate of change in the concentration of the i-th dissolved ion within the time period Δt, Δt is the time interval, Conc i (t) is the concentration of the i-th dissolved ion at time t, Conc i (t + Δt) is the concentration of the i-th dissolved ion at time t + Δt;

[0071] This step reflects the dynamic changes of dissolved ions by calculating the concentration changes of each dissolved ion in the wastewater within the specified time period (Δt). The greater the rate of concentration change (ΔConc i ), the more rapid the change in the concentration of dissolved ions, which is usually related to the rapid dissolution or reaction of pollutants and may indicate that the concentration of harmful substances in the wastewater exceeds the standard. Through this step, the rate of change of each dissolved ion in this time period can be obtained, laying a foundation for the further generation of indices.

[0072] After obtaining the rate of change in the concentration of each dissolved ion in the wastewater, the obtained concentration change amounts are comprehensively combined to generate a reference value for the rate of change in the concentration of dissolved ions. The generation of the reference value for the rate of change in the concentration of dissolved ions takes into account the concentration changes of multiple dissolved ions and can comprehensively reflect the risk of exceeding the standard concentration of harmful substances in the wastewater. The calculation expression is as follows:

[0073]

[0074] In the formula, DICCR is the reference value for the rate of change in the concentration of dissolved ions, α i is the weight coefficient of the rate of change in the concentration of dissolved ions, indicating the sensitivity of this dissolved ion to the exceeding of the pollutant concentration in the wastewater, and n is the number of types of dissolved ions.

[0075] The above step integrates the rates of change in the concentration of each dissolved ion (ΔConc i ) into a comprehensive reference value through weighted summation, and the weight coefficient (α i)It reflects the contribution degree of different dissolved ions to the exceeding standard of harmful substance concentration in wastewater. For example, certain metal ions or chemical substances may have a more significant impact on the change of dissolved ion concentration when exceeding the standard, so they will have a higher weight coefficient. The larger the value of the reference value, it indicates that the concentration of harmful substances in the wastewater changes rapidly and the risk of exceeding the standard is greater. Through this index, it can effectively judge whether the pollutants in the wastewater exceed the standard and provide a decision-making basis for subsequent dynamic adjustment.

[0076] The larger the reference value of the change rate of dissolved ion concentration generated after analyzing the change rate of dissolved ion concentration in wastewater under the detection window, it indicates that the concentration of harmful substances in the wastewater exceeds the standard, otherwise it means that the concentration of pollutants in the wastewater does not exceed the standard. The change rate of dissolved ion concentration reflects the change speed of dissolved substances in wastewater. When the concentration of harmful substances in wastewater is high, these pollutants will dissolve rapidly and react with other components in the water, resulting in an accelerated change in the concentration of dissolved ions. For example, when the wastewater contains a large amount of metal ions, organic acids or other chemical substances, their rapid dissolution will significantly increase the change rate of dissolved ion concentration, so the generated reference value of the change rate of dissolved ion concentration will be larger, indicating that the pollutant concentration exceeds the standard. On the contrary, if the pollutant concentration in the wastewater is low or stable, the change rate of dissolved ions is slow and the reference value is small, indicating that the pollutant concentration does not reach the exceeding standard level.

[0077] The increase in the concentration of reactive chemical molecules (such as free radicals, reactive molecules, etc.) in wastewater usually indicates that the concentration of harmful substances in the wastewater exceeds the standard. Free radicals and reactive molecules (such as hydroxyl radical ·OH and superoxide anion O2 ·- etc.) are key intermediates in the degradation reaction of pollutants in wastewater. They have strong oxidation ability and can quickly react with harmful substances in the wastewater. When the concentration of harmful substances in the wastewater is too high, the concentration of reactive molecules will increase accordingly, because the system releases more reactive substances to accelerate the degradation of harmful pollutants, especially in the case of high-concentration pollutants. The increase in the concentration of such reactive molecules is usually due to the catalyst (such as TiO2) generating more free radicals under ultraviolet light irradiation, or the increased activity of other redox reactions in the wastewater. The increase in the concentration of reactive chemical molecules is a common sign in wastewater treatment, indicating an increase in reaction activity, which may occur when treating high-concentration harmful substances. In addition, high concentrations of organic pollutants or metal ions (such as Fe 2+ 、Fe 3+ ) often exacerbate the generation of such reactive molecules. Therefore, the increase in the concentration of reactive molecules is an important indicator of the exceeding standard of harmful substance concentration in wastewater and can help identify the pollution load in the wastewater in a timely manner.

[0078] The specific steps for analyzing the concentration of reactive chemical molecules (such as free radicals, active molecules, etc.) in wastewater to generate a reactive molecule reference value under a detection window are as follows:

[0079] Monitor the concentration changes of reactive chemical molecules in wastewater through real-time detection devices (such as on-line sensors or spectrometers). Reactive molecules (such as free radicals, active molecules, etc.) are important intermediates in the degradation process of wastewater pollutants. The concentration of reactive molecules reflects the activity degree of redox reactions in wastewater. When the concentration of harmful substances in wastewater is high, more reactive molecules will be generated to promote the degradation of pollutants. Through these devices, the concentration data of various reactive chemical molecules in wastewater are obtained in real time and converted into numerical values. The calculation formula for the concentration of initial reactive chemical molecules is as follows:

[0080]

[0081] In the formula, RCI is the concentration index of initial reactive chemical molecules, C j (t) is the concentration of the j-th reactive chemical molecule at time t, W j is the weight coefficient of the j-th reactive chemical molecule, representing the contribution degree of this molecule in the degradation of wastewater. T is the total duration of the detection window, and m is the number of types of all detected reactive molecules in wastewater;

[0082] This formula calculates the integral of the concentration of various reactive molecules over time, considering the relative contribution of each molecule in the degradation of pollutants (represented by the weight coefficient W j ). The generated concentration index of initial reactive chemical molecules (RCI) provides the overall reactive molecule concentration data within the time window for subsequent analysis.

[0083] After obtaining the concentration index RCI of initial reactive chemical molecules, conduct a dynamic assessment to determine whether the harmful substances in the wastewater exceed the standard. The larger the RCI, the higher the concentration of harmful substances in the wastewater, so the treatment intensity needs to be strengthened. To accurately determine whether the pollutant concentration exceeds the standard, introduce a dynamic threshold assessment model, and compare the concentration index of initial reactive chemical molecules with the set exceedance threshold. The formula for the dynamic assessment process is as follows:

[0084]

[0085] In the formula, RM is the reactive molecule reference value, C threshold is the concentration exceedance threshold, and k is the dynamic adjustment factor, which controls the index sensitivity.

[0086] This formula is based on the sigmoid function (S-shaped curve) and is used to map the calculated concentration index of initial reactive chemical molecules into a more decisive value (RCI final) When the reactive molecular index RCI exceeds the set threshold C threshold then RCI final tends to 1, indicating that the concentration of harmful substances in the wastewater exceeds the standard; if RCI is lower than the threshold, then RCI final is close to 0, indicating that the pollutant concentration does not exceed the standard.

[0087] The larger the reactive molecular reference value generated after analyzing the concentration of reactive chemical molecules (such as free radicals, reactive molecules, etc.) in the wastewater under the detection window, usually means that the concentration of harmful substances in the wastewater exceeds the standard, otherwise it indicates that the concentration does not exceed the standard. The reactive molecular reference value reflects the concentration of reactive chemical molecules (such as free radicals, reactive molecules, etc.) in the wastewater. These molecules play an important role in the wastewater treatment process, mainly by undergoing redox reactions with pollutants to degrade harmful substances. When the concentration of harmful substances in the wastewater is high, the catalytic reaction needs to generate more free radicals and reactive molecules to accelerate the reaction process, so the concentration of reactive molecules will increase. The increase in the reactive molecular reference value indicates an increase in the concentration of harmful substances in the wastewater, reflecting a heavier pollution load in the wastewater, which may exceed the conventional treatment capacity of the treatment system. On the contrary, when the pollutant concentration in the wastewater is low, the concentration of reactive molecules remains at a low level, and the reactive molecular reference value will also be low, indicating that the concentration of harmful substances in the wastewater does not exceed the standard.

[0088] Input the decisive variables after comprehensive analysis into a pre-trained machine learning model, and use the model to intelligently evaluate the concentration of harmful substances in the current wastewater to determine whether the concentration of harmful substances in the wastewater exceeds the standard;

[0089] Input the reference value of the change rate of dissolved ion concentration and the reactive molecular reference value after comprehensive analysis into a pre-trained machine learning model, generate a harmful substance concentration change coefficient through the machine learning model, and use the harmful substance concentration change coefficient to intelligently evaluate the concentration of harmful substances in the current wastewater to determine whether the concentration of harmful substances in the wastewater exceeds the standard.

[0090] A pre-trained machine learning model refers to an intelligent model established in a wastewater treatment system through training and optimization using machine learning algorithms (such as regression models, decision trees, support vector machines, etc. in supervised learning) based on a large amount of historical data and pollutant concentration changes under different conditions. The training process of this model is based on a historical data set, which includes the changes in the concentrations of different pollutants (such as metal ions, organic substances, etc.) in the wastewater, environmental variables (such as water temperature, pH value, flow rate, etc.) during the wastewater treatment process, and the corresponding treatment effects (such as pollutant removal rate). Through the analysis and training of these data by machine learning algorithms, the model can identify the relationship between pollutant concentration changes and treatment parameters (such as catalyst dosage, ultraviolet light intensity, etc.), and learn how to automatically evaluate the change trend of pollutant concentrations in different wastewater treatment scenarios. Therefore, the trained model can, during actual operation, receive new input data in real time and generate an accurate predicted value, that is, the change coefficient of harmful substance concentration, based on the learning experience in the historical data.

[0091] The core role of the pre-trained machine learning model is to conduct intelligent evaluation in the wastewater treatment system. By inputting real-time monitored data (such as the change rate of dissolved ion concentration and the reference value of reactive molecules), the model can automatically calculate the change coefficient of harmful substance concentration according to the rules and patterns learned during its training process, and determine whether the harmful substances in the wastewater have reached an excessive concentration. Specifically, the model will analyze the similarity between the current input data and the historical data, evaluate the pollution load of the current wastewater, and represent the change rate of pollutant concentration by calculating the change coefficient. Based on this change coefficient, the system can make real-time decisions and automatically adjust relevant parameters (such as the dosage of photocatalyst, ultraviolet light intensity, etc.) during the wastewater treatment process, thereby optimizing the wastewater treatment effect, avoiding excessive pollutant concentration, and ensuring that the final wastewater discharge meets environmental protection standards. The automatic evaluation and intelligent adjustment of the machine learning model can significantly improve the automation and accuracy of the wastewater treatment system, thus enhancing the efficiency and stability of the entire treatment process.

[0092] The machine learning model is not limited here, and any machine learning model that can comprehensively analyze the reference value of the change rate of dissolved ion concentration DICCR and the reference value of reactive molecules RM to generate the change coefficient of harmful substance concentration HSCC can be used. To implement the technical solution of the present invention, the present invention provides a specific implementation method;

[0093] The formula for generating the change coefficient of harmful substance concentration HSCC is as follows: HSCC = k1·DICCR + k2RM, where k1 and k2 are respectively the preset proportionality coefficients of the reference value of the change rate of dissolved ion concentration DICCR and the reference value of reactive molecules RM, and both k1 and k2 are greater than 0.

[0094] A preset proportionality coefficient refers to a coefficient used in a machine learning model to represent the degree of influence of each parameter on the target output. In this case, the generation formula of HSCC (Hazardous Substance Concentration Change Coefficient) contains two proportionality coefficients, k1 and k2, which correspond to two input parameters respectively: DICCR (Dissolved Ion Concentration Change Rate) and RM (Reactive Molecule). These proportionality coefficients are preset to adjust the contributions of different input parameters to the calculation of HSCC.

[0095] Specifically, the values of k1 and k2 determine the relative importance of the dissolved ion concentration change rate and the reactive molecule reference value in the calculation of the hazardous substance concentration change coefficient. k1 and k2 are usually determined through the training process of the machine learning model. The model will learn through a large amount of data to find the optimal coefficient values to make the prediction results closest to the actual wastewater treatment results. In this formula, the values of k1 and k2 must be greater than 0, indicating that the influences of these two parameters on HSCC are both positive, that is, as the dissolved ion concentration change rate and the reactive molecule concentration change, the change in the concentration of hazardous substances in the wastewater will change accordingly.

[0096] From the hazardous substance concentration change coefficient, it can be seen that the larger the reference value of the dissolved ion concentration change rate generated by analyzing the change rate of the dissolved ion concentration in the wastewater under the detection window, and the larger the reference value of the reactive molecule generated by analyzing the concentration of reactive chemical molecules (such as free radicals, reactive molecules, etc.) in the wastewater under the detection window, the larger the hazardous substance concentration change coefficient generated when the intelligent evaluation of the hazardous substance concentration in the current wastewater is carried out through a pre-trained machine learning model, indicating that the probability of the hazardous substance concentration in the current wastewater exceeding the standard is higher. Conversely, it indicates that the probability of the hazardous substance concentration in the current wastewater exceeding the standard is lower.

[0097] Compare and analyze the hazardous substance concentration change coefficient generated when the intelligent evaluation of the hazardous substance concentration in the current wastewater is carried out through a pre-trained machine learning model with the preset reference threshold of the hazardous substance concentration change coefficient to determine whether the hazardous substance concentration in the wastewater exceeds the standard. The judgment logic is as follows:

[0098] If the hazardous substance concentration change coefficient is greater than the preset reference threshold of the hazardous substance concentration change coefficient, it is judged that the hazardous substance concentration in the current wastewater exceeds the standard; if the hazardous substance concentration change coefficient is less than or equal to the preset reference threshold of the hazardous substance concentration change coefficient, it is judged that the hazardous substance concentration in the current wastewater does not exceed the standard.

[0099] When it is recognized that the concentration of harmful substances in the wastewater exceeds the standard, based on the pollutant concentration data, the dosage of the photocatalyst is dynamically adjusted to provide more active sites; at the same time, according to the intelligent evaluation results, the power and illumination duration of the ultraviolet light source are dynamically adjusted to enhance the intensity of the photocatalytic reaction, promote the generation of more free radicals on the catalyst surface, and thus ensure that the harmful substances in the wastewater are fully degraded;

[0100] By dynamically adjusting the key operating parameters of the photocatalytic oxidation method based on the real-time wastewater pollutant concentration data and intelligent evaluation results, it is ensured that the harmful substances in the wastewater can be efficiently and fully degraded. Specifically, when the system detects that the concentration of harmful substances in the wastewater exceeds the standard, first, the dosage of the photocatalyst is dynamically adjusted to provide more active sites, ensuring that the catalyst can adsorb more pollutants and promote the reaction. The surface active sites of the catalyst play a core role in the catalytic reaction. Increasing the amount of the catalyst can effectively make up for the shortage of surface active sites of the catalyst caused by too high pollutant concentration, thus ensuring the smooth progress of the photocatalytic reaction.

[0101] In addition, dynamically adjusting the power and illumination duration of the ultraviolet light source can further enhance the intensity of the photocatalytic reaction. The ultraviolet light source is an important energy source for exciting the photocatalyst. Increasing its power can enhance the number of free radicals (such as hydroxyl radicals ·OH and superoxide anions O2 ·- ) generated on the catalyst surface, thereby increasing the reaction rate and removal efficiency. And increasing the illumination duration helps to extend the contact time between the pollutants and the catalyst, further promoting the degradation of the pollutants. By adjusting these parameters in real time, the reaction process can be automatically optimized according to the actual pollution degree of the wastewater, so as to ensure the maximization of the reaction efficiency, avoid waste of resources, and at the same time ensure the high efficiency and stability of the wastewater treatment process.

[0102] The core of this process lies in realizing intelligent adjustment, responding to the changes in the wastewater pollutant concentration through precise control strategies, ensuring that the system always maintains the best operating state, and ultimately achieving the goal of fully degrading the harmful substances in the wastewater. This dynamic adjustment mechanism not only improves the wastewater treatment efficiency, but also enhances the adaptability and stability of the system, especially in the case of large fluctuations in pollutant concentration.

[0103] When it is recognized that the concentration of harmful substances in the wastewater exceeds the standard, based on the pollutant concentration data, the dosage of the photocatalyst is dynamically adjusted to provide more active sites; at the same time, according to the intelligent evaluation results, the power and illumination duration of the ultraviolet light source are dynamically adjusted to enhance the intensity of the photocatalytic reaction. The specific steps are as follows:

[0104] When it is recognized that the concentration of harmful substances in the wastewater exceeds the standard, the dosage of the photocatalyst is increased to provide more active sites, thereby enhancing the degradation effect of pollutants in the wastewater. Increasing the amount of the photocatalyst can ensure that the harmful substances in the wastewater react fully. Especially when the concentration of pollutants is high, it can effectively avoid insufficient reactions. The dynamic adjustment calculation expression for the dosage of the photocatalyst is as follows:

[0105]

[0106] Where, C catalyst is the adjusted dosage of the photocatalyst, C catalyst，base is the basic dosage of the photocatalyst, ΔC catalyst is the incremental coefficient of the basic dosage, representing the proportion of the increase in the photocatalyst per unit change. HSCC is the harmful substance concentration change coefficient, and HSCC threshold is the reference threshold of the harmful substance concentration change coefficient, and e is the natural base;

[0107] When the harmful substance concentration change coefficient HSCC exceeds the reference threshold, the dosage of the catalyst is adjusted in the form of an exponential function to enhance the response to changes in the pollutant concentration. The characteristic of exponential growth can rapidly increase the amount of the photocatalyst when the pollutant concentration fluctuates greatly, thereby compensating for the potentially lost active sites on the catalyst surface and ensuring the reaction efficiency.

[0108] The power of the ultraviolet light source determines the energy input of the photocatalytic reaction. Adjust the power of the ultraviolet light source to promote the generation of more free radicals on the catalyst surface and enhance the intensity of the photocatalytic reaction. When the concentration of harmful substances is high, the power of the ultraviolet light source needs to be appropriately increased to provide sufficient energy to support the reaction. The dynamic adjustment calculation expression for the power of the ultraviolet light source is as follows:

[0109]

[0110] Where, P UV is the adjusted power of the ultraviolet light source, P UV，base is the basic power of the ultraviolet light source, and α is the adjustment coefficient, representing the relationship between the power of the ultraviolet light source and the harmful substance concentration change coefficient;

[0111] The increase in the power of the ultraviolet light source is dynamically adjusted according to the harmful substance concentration change coefficient HSCC. When the change in the concentration of harmful substances in the wastewater exceeds the reference threshold, the increase in power will accelerate in a power form to ensure sufficient energy is provided during the reaction process. This process can accelerate the generation of free radicals, enhance the reaction intensity, and ensure the effective degradation of pollutants.

[0112] Increasing the illumination duration provides more time for the reaction to ensure that harmful substances in the wastewater are fully reacted. By extending the illumination duration, the reaction time between pollutants and free radicals generated by the catalyst will be increased, thereby effectively improving the reaction efficiency. The dynamic adjustment calculation expression of the illumination duration is as follows:

[0113]

[0114] In the formula, t light is the adjusted illumination duration, t light，base is the basic illumination duration, and γ is the illumination duration adjustment coefficient used to control the increase in the illumination duration.

[0115] The increase in the illumination duration is achieved through two parts of adjustment. The linear part ensures that the illumination duration is appropriately extended as the pollutant concentration changes; the logarithmic part avoids excessive extension, making the increase in the illumination duration smoother and not overly extending the illumination duration when the pollutant concentration changes drastically. This makes the reaction more flexible and avoids unnecessary energy waste.

[0116] In the present invention, by obtaining the concentration data of harmful substances in the wastewater in real time and performing intelligent evaluation, the system can dynamically adjust the dosage of the photocatalyst, the power of the ultraviolet light source, and the illumination duration to ensure that the photocatalytic reaction is always in the optimal state. This can not only avoid the overloading of the catalyst and the blockage of active sites, but also intelligently adjust the treatment parameters according to the pollution degree of the wastewater, give full play to the degradation ability of the photocatalytic reaction, ensure that harmful substances in the wastewater are fully removed, and finally achieve an efficient and stable deep wastewater treatment effect while reducing resource waste and operating costs.

[0117] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain a formula closest to the real situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0118] Only some exemplary embodiments of the present invention have been described by way of illustration. Undoubtedly, for those of ordinary skill in the art, without departing from the spirit and scope of the present invention, the described embodiments can be modified in various different ways. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of the claims of the present invention.

[0119] It should be noted that in this text, if there are relational terms such as first and second, they are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0120] It should be understood that in various embodiments of the present application, the magnitude of the sequence numbers of the above processes does not imply the order of execution, and the order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0121] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present application.

[0122] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0123] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0124] In addition, in each embodiment of the present application, the functional units can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0125] As described above, it is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims described above.

[0126] Only some exemplary embodiments of the present invention have been described above by way of illustration. Without doubt, for those of ordinary skill in the art, the described embodiments can be modified in various different ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and description are illustrative in nature and should not be construed as limiting the protection scope of the claims of the present invention.

Claims

1. A method for advanced treatment of cold-rolled acidic wastewater, characterized in that It includes the following steps: During the treatment of cold-rolled acidic wastewater by photocatalytic oxidation, the concentration data of harmful substances in the wastewater is obtained in real time to understand the pollution degree of the wastewater; The obtained data information of harmful substances is preprocessed, and the preprocessed data is managed in a centralized manner to establish a data set; The decisive variables reflecting the excessive concentration of pollutants in the wastewater are extracted from the data set, and the extracted decisive variables are comprehensively analyzed to comprehensively evaluate whether the concentration of harmful substances in the current wastewater exceeds the standard; The decisive variables after comprehensive analysis are input into a pre-trained machine learning model, and the model is used to intelligently evaluate the concentration of harmful substances in the current wastewater to determine whether the concentration of harmful substances in the wastewater exceeds the standard; When it is identified that the concentration of harmful substances in the wastewater exceeds the standard, based on the pollutant concentration data, the dosing amount of the photocatalyst is dynamically adjusted to provide more active sites; At the same time, according to the intelligent evaluation results, the power and illumination duration of the ultraviolet light source are dynamically adjusted to enhance the intensity of the photocatalytic reaction and promote the generation of more free radicals on the catalyst surface, so as to ensure that the harmful substances in the wastewater are fully degraded.

2. The method for deep treatment of cold-rolled acidic wastewater according to claim 1, wherein During the treatment of cold-rolled acidic wastewater by photocatalytic oxidation, the specific steps for obtaining the concentration data of harmful substances in the wastewater in real time are as follows: According to the types of pollutants in the wastewater, a detection device that meets the requirements is selected to monitor the concentration of harmful substances in real time; The concentration data of pollutants in the wastewater is continuously collected through an automated system to ensure that the changes in pollutants during the treatment process are reflected in real time; The collected real-time data is transmitted to the data platform through the network for storage to ensure the accuracy and integrity of the data and provide a reliable basis for subsequent analysis and processing.

3. The deep treatment method for cold-rolled acidic wastewater according to claim 1, wherein The decisive variables reflecting the excessive concentration of pollutants in the wastewater are extracted from the data set. The extracted variables include the change rate of the concentration of dissolved ions in the wastewater and the concentration of reactive chemical molecules in the wastewater. Under the detection window, the change rate of the concentration of dissolved ions in the wastewater and the concentration of reactive chemical molecules in the wastewater are comprehensively analyzed to generate a reference value for the change rate of dissolved ion concentration and a reference value for reactive molecules. Whether the concentration of harmful substances in the current wastewater exceeds the standard is comprehensively evaluated through the reference value for the change rate of dissolved ion concentration and the reference value for reactive molecules.

4. The deep treatment method for cold-rolled acidic wastewater according to claim 3, wherein The specific steps for analyzing the change rate of the concentration of dissolved ions in the wastewater under the detection window to generate a reference value for the change rate of dissolved ion concentration are as follows: The change of the concentration of dissolved ions over time is accurately calculated, and the change rate of the concentration of dissolved ions in the wastewater over time is analyzed, that is, within the time interval, the relationship between the increment of the concentration of dissolved ions and time. The calculation expression is as follows: where ΔConc i is the change rate of the concentration of the i-th dissolved ion within the time period Δt, Δt is the time interval, and Conc i (t) is the concentration of the i-th dissolved ion at time t, and Conc i (t + Δt) is the concentration of the i-th dissolved ion at time t + Δt; After obtaining the change rate of the concentration of each dissolved ion in the wastewater, the obtained change amounts are comprehensively generated to obtain a reference value for the change rate of dissolved ion concentration. The calculation expression is as follows: Where, DICCR is the reference value of the dissolved ion concentration change rate, α i It is the weight coefficient of the rate of change of dissolved ion concentration, which indicates the sensitivity of the dissolved ion to the excessive concentration of pollutants in the wastewater, and n is the number of dissolved ion types.

5. The deep treatment method for cold-rolled acidic wastewater according to claim 3, characterized in that, The specific steps for analyzing the concentration of reactive chemical molecules in the wastewater under the detection window to generate a reference value for reactive molecules are as follows: Monitor the concentration changes of reactive chemical molecules in wastewater through real-time detection devices. Reactive molecules are important intermediates in the degradation process of wastewater pollutants. The concentration of reactive molecules reflects the activity degree of redox reactions in wastewater. Obtain the concentration data of various reactive chemical molecules in wastewater in real time and convert it into numerical values. The calculation formula for the concentration of initial reactive chemical molecules is as follows: wherein, RCI is the initial reactive chemical molecule concentration index, C j (t) is the concentration of the j-th reactive chemical molecule at time t, W j is the weight coefficient of the j-th reactive chemical molecule, representing the contribution degree of this molecule in wastewater degradation, T is the total duration of the detection window, and m is the number of types of reactive molecules detected in the wastewater; After obtaining the initial reactive chemical molecule concentration index RCI, conduct a dynamic assessment to determine whether the harmful substances in the wastewater exceed the standard. To accurately judge whether the pollutant concentration exceeds the standard, introduce a dynamic threshold assessment model, and compare the initial reactive chemical molecule concentration index with the set exceedance threshold. The formula for the dynamic assessment process is as follows: Wherein, RM is the reactive molecule reference value, C threshold is the concentration over-standard threshold value, and k is the dynamic adjustment factor to control the index sensitivity.

6. The deep treatment method for cold-rolled acidic wastewater according to claim 3, wherein Input the reference value of the change rate of dissolved ion concentration and the reference value of reactive molecules after comprehensive analysis into a pre-trained machine learning model. Generate a harmful substance concentration change coefficient through the machine learning model, and use the harmful substance concentration change coefficient to intelligently evaluate the concentration of harmful substances in the current wastewater to determine whether the concentration of harmful substances in the wastewater exceeds the standard.

7. The deep treatment method for cold-rolled acidic wastewater according to claim 6, characterized in that, Compare and analyze the harmful substance concentration change coefficient generated when intelligently evaluating the concentration of harmful substances in the current wastewater through a pre-trained machine learning model with the pre-set reference threshold of the harmful substance concentration change coefficient to determine whether the concentration of harmful substances in the wastewater exceeds the standard. The judgment logic is as follows: If the harmful substance concentration change coefficient is greater than the pre-set reference threshold of the harmful substance concentration change coefficient, it is judged that the concentration of harmful substances in the current wastewater exceeds the standard; if the harmful substance concentration change coefficient is less than or equal to the pre-set reference threshold of the harmful substance concentration change coefficient, it is judged that the concentration of harmful substances in the current wastewater does not exceed the standard.

8. The deep treatment method for cold-rolled acidic wastewater according to claim 7, characterized in that, When it is identified that the concentration of harmful substances in the wastewater exceeds the standard, based on the pollutant concentration data, dynamically adjust the dosage of the photocatalyst to provide more active sites; at the same time, according to the intelligent evaluation results, dynamically adjust the power and illumination duration of the ultraviolet light source to enhance the intensity of the photocatalytic reaction. The specific steps are as follows: When it is identified that the concentration of harmful substances in the wastewater exceeds the standard, increase the dosage of the photocatalyst to provide more active sites, thereby enhancing the degradation effect of pollutants in the wastewater. The calculation expression for the dynamic adjustment of the photocatalyst dosage is as follows: Where C catalyst is the adjusted dosage of photocatalyst, C catalyst，base is the basic dosage of photocatalyst, ΔC catalysst is the increment coefficient of the basic dosage, HSCC is the coefficient of change in harmful substance concentration, HSCC threshold is the reference threshold of the coefficient of change in harmful substance concentration, and e is the natural base; The power of the ultraviolet light source determines the energy input of the photocatalytic reaction. Adjust the power of the ultraviolet light source to promote the generation of more free radicals on the catalyst surface and enhance the intensity of the photocatalytic reaction. The calculation expression for the dynamic adjustment of the ultraviolet light source power is as follows: Wherein, P UV is the adjusted ultraviolet light source power, P UV，base is the basic ultraviolet light source power, and α is the adjustment coefficient; Increase the illumination duration to provide more time for the reaction to ensure that the harmful substances in the wastewater are fully reacted. By extending the illumination duration, the reaction time between the pollutants and the free radicals generated by the catalyst will be increased, thereby effectively improving the reaction efficiency. The calculation expression for the dynamic adjustment of the illumination duration is as follows: where t light is the adjusted lighting duration, t light，base is the basic lighting duration, and γ is the lighting duration adjustment coefficient.

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