Ozone oxidation micro-electrolysis method and system for RO concentrated water treatment

Abstract

The present application belongs to the technical field of RO concentrated water pretreatment, and provides an ozone oxidation micro-electrolysis method and system for RO concentrated water treatment. In multiple historical treatment cycles, the ozone demand amount during ozone oxidation of RO concentrated water in each historical treatment cycle is obtained and processed to output an ozone consumption range, which helps to avoid substandard pollutant degradation caused by abnormal ozone consumption, ensures the stability of the pretreatment process, and through correlation analysis of the ozone consumption amount in multiple historical treatment cycles and the excessive content in the Fe-C micro-electrolysis coupling stage, a consumption correlation coefficient is obtained, which not only reflects the correlation between the ozone consumption amount and the excessive content under different working conditions, but also helps to improve the quality of RO concentrated water pretreatment, thereby avoiding excessive supply and ineffective consumption of ozone, reducing the use amount of ozone, and enhancing the adaptability of the pretreatment process to different working conditions.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of RO concentrated water pretreatment, and in particular relates to an ozone oxidation micro-electrolysis method and system for RO concentrated water treatment. BACKGROUND

[0002] In the field of industrial wastewater treatment, the treatment of RO (reverse osmosis) concentrated water has always been a problem. RO concentrated water contains high concentrations of organic matter, inorganic salts and other pollutants. If it is directly discharged, it will cause serious pollution to the environment. Therefore, an effective pretreatment method is needed to reduce its pollution to meet the subsequent treatment or discharge requirements.

[0003] In the prior art, on the one hand, the difference in the content of pollutants required to be degraded in RO concentrated water in different historical treatment periods is not fully considered. Since the pollutant composition and concentration of different batches of RO concentrated water are different, it is difficult to meet the actual demand with a fixed ozone supply amount, which leads to the fact that in the actual treatment process, either the ozone supply is insufficient, which causes the degradation of pollutants to be substandard, affecting the subsequent treatment process and water quality safety; or the ozone supply is excessive, causing waste of ozone;

[0004] On the other hand, the relationship between the Fe-C micro-electrolysis coupling stage and the ozone oxidation stage is not studied in depth. The prior art does not analyze the relationship between the ozone consumption in the ozone oxidation stage and the excessive content in the Fe-C micro-electrolysis coupling stage, cannot reflect the correlation between the two under different working conditions, is prone to excessive supply and ineffective consumption of ozone, and in the process of RO concentrated water pretreatment, no excessive early warning model based on the ozone consumption range and the correlation is constructed, the ozone amount in the subsequent ozone oxidation stage cannot be warned in advance, and the fastest time period interval cannot be determined, and the generation rate cannot be adjusted in time according to the content in the current target period.

[0005] Therefore, the application provides an ozone oxidation micro-electrolysis method and system for RO concentrated water treatment. SUMMARY

[0006] In order to make up for the deficiencies of the prior art and solve at least one technical problem proposed in the background art.

[0007] The technical scheme adopted by the application to solve its technical problems is:

[0008] In a first aspect, an ozone oxidation micro-electrolysis method for RO concentrated water treatment includes the following steps:

[0009] The ozone demand amount of RO concentrated water ozone oxidation in a plurality of historical treatment periods is processed, and an ozone consumption range is output.

[0010] The ozone consumption in the ozone oxidation stage of the RO concentrated water in a plurality of historical processing periods, and the excessive content in the Fe-C micro-electrolysis coupling stage are obtained A correlation analysis curve is constructed, and correlation degree analysis is performed to obtain a consumption correlation coefficient:

[0011] The linear analysis is performed on the constructed correlation analysis curve, if it is a linear positive correlation, the consumption correlation coefficient and the ozone consumption range are combined to construct An excessive early warning model;

[0012] In the Fe-C micro-electrolysis coupling stage, the period generation rate corresponding to each historical processing period after division in the historical processing period is obtained, analysis is performed to determine the fastest generation rate, the corresponding fastest rate historical period is obtained, and period stability analysis is performed in a plurality of historical periods to determine the fastest period position interval. The rate adjustment amount is obtained by the excessive early warning model in the fastest period position interval.

[0013] As a preferred scheme of the present application, the ozone consumption range is obtained in the following manner:

[0014] In the historical processing period, the required degradation pollutant content in the RO concentrated water is obtained, the ozone demand is obtained by combining the oxidation reaction equation with ozone, the ozone demand corresponding to each historical processing period and the actual ozone supply amount corresponding to each historical processing period are extracted, and the difference is calculated to output the actual ozone consumption amount.

[0015] As a preferred scheme of the present application, the excessive content in the Fe-C micro-electrolysis coupling stage is obtained in the following manner:

[0016] The ozone demand corresponding to each historical processing period and the actual ozone supply amount corresponding to each historical processing period are obtained, and the difference is calculated, and the ozone consumption range length is calculated by ratio calculation, and the obtained ozone consumption amount is output;

[0017] The RO concentrated water solution is divided into top, middle and low three layers The content monitoring area, the content monitoring area, and the content monitoring area are obtained respectively The content monitoring area, the content monitoring area, and the content monitoring area are obtained respectively The content monitoring area, the content monitoring area, and the content monitoring area are obtained respectively The content monitoring area, the content monitoring area, and the content monitoring area are obtained respectively The content monitoring area, the content monitoring area, and the content monitoring area are obtained respectively The content monitoring area, the content monitoring area, and the content monitoring area are obtained respectively The content monitoring area, the content monitoring area, and the content monitoring area are obtained respectively The content monitoring area, the content monitoring area, and the content monitoring area are obtained respectively ​Average content;

[0018] If solution The average content is greater than that of the solution. The content threshold will then be used to determine the solution. Average content and solution After subtracting the content threshold, and then comparing it with the solution... The content threshold is used to calculate the ratio, and the output is the excess. content.

[0019] As a preferred embodiment of the present invention, the correlation analysis process is as follows:

[0020] Extracting data from each historical processing cycle Excessive ozone emission levels and corresponding excess levels Content, construct content correlation analysis curves, and extract the X-axis and Y-axis coordinates of all coordinate points respectively. Sort them from front to back according to their positions on the content correlation analysis curves, and construct X-axis coordinate sequences and Y-axis coordinate sequences respectively.

[0021] By combining the X-axis coordinates and Y-axis coordinates of adjacent positions within the X-axis coordinate sequence and the Y-axis coordinate sequence respectively, multiple X-coordinate combinations and multiple Y-coordinate combinations can be obtained.

[0022] Using the position of the coordinates on the content correlation analysis curve as the secondary combination rule, the X coordinate combination and Y coordinate combination with the same position are combined in a secondary combination to obtain multiple XY coordinate analysis groups. The adjacent change values ​​of the X-axis and the adjacent change values ​​of the Y-axis in the XY coordinate analysis group are obtained respectively, the ratio is calculated, and the unit change coefficient is output.

[0023] Extract the element variation coefficients corresponding to each XY coordinate analysis group, calculate the standard deviation, and output the element coefficient standard deviation.

[0024] The mean values ​​of the X-coordinates and Y-coordinates within the X-axis coordinate sequence are calculated and averaged respectively, and the mean values ​​of the X-coordinates and Y-coordinates are output. The mean values ​​of the X-coordinates and Y-coordinates are then calculated and averaged again, and the XY-coordinate coefficients are output.

[0025] Input the XY coordinate coefficients and the standard deviation of the unit coefficients into the coefficient of variation formula to obtain the content correlation assessment value;

[0026] If the content correlation assessment value is less than or equal to the content correlation assessment threshold, then the content correlation is strong.

[0027] A preferred embodiment of the present invention is as follows: the consumption correlation coefficient is obtained in the following way:

[0028] If the content correlation close signal is generated, the unit variation coefficient corresponding to all XY coordinate analysis groups is subjected to mean value calculation, and the consumption correlation coefficient is output.

[0029] As a preferred scheme of the present application is: The construction mode of the excessive early warning model is:

[0030] If the linear analysis value is less than or equal to the linear analysis threshold value, the two end point values in the ozone depletion range are extracted respectively, and the consumption correlation coefficient is taken as the model slope to construct the excessive early warning model. The early warning model formula is: , wherein, is taken as the model slope, is taken as a constant.

[0031] As a preferred scheme of the present application is:

[0032] The end point coordinates on the content correlation analysis curve are extracted and connected to fit a fitting analysis line. All coordinate points on the correlation analysis curve are extracted, and each coordinate point on the correlation analysis curve is taken as a reference point to draw a unit vertical line perpendicular to the fitting analysis line. The proportion of the length of the unit vertical line to the length of the fitting analysis line is obtained to obtain the unit residual value.

[0033] All unit residual values are subjected to mean value calculation, and the unit residual mean value is output.

[0034] All unit residual values are subjected to standard deviation calculation, and the unit residual standard deviation is output.

[0035] The unit residual mean value and the unit residual standard deviation are input into the coefficient of variation formula, and the linear analysis value is output.

[0036] As a preferred scheme of the present application is:

[0037] The historical processing period is divided into a plurality of historical processing time periods, the content of each historical processing time period is obtained, and the ratio calculation is performed with the historical processing time period length to output the time period generation rate.

[0038] In the historical processing period, the time period generation rate in each historical processing time period is compared in size, the fastest generation rate is screened out, and the historical processing time period corresponding to the fastest generation rate is extracted and marked as the fastest rate historical time period.

[0039] The fastest generation rate in each historical processing period is extracted respectively, and the time sequence position in the historical processing period where the fastest rate historical time period is located is taken as the cycle fastest rate time period sorting. ​

[0040] Extract the corresponding period of the fastest rate in each historical processing period, and take the position of the historical processing period as the basis, and obtain the fastest period position interval.

[0041] As a preferred scheme of the application is: The rate adjustment amount is obtained as follows:

[0042] The period generation rate corresponding to all key monitoring periods in the fastest period position interval is calculated by averaging, and the key generation rate is output;

[0043] Extract The early warning model formula corresponding to the excess early warning model is: And extract the maximum ozone actual consumption and the minimum ozone actual consumption in the ozone consumption range, and calculate the ratio with the consumption correlation coefficient respectively, and output the maximum Excess and minimum Excess, and construct Excess range;

[0044] Get the Content in the current key monitoring starting period, and randomly select a key monitoring period in the fastest period position interval where the current target is located as the current target period;

[0045] If the Content in the current target period is not in the Excess range, then the minimum Excess in the Excess range is taken as the early warning value, and the difference between the Content in the current key monitoring starting period is calculated, and the adjustment difference value is obtained, and the ratio with the key generation rate is calculated, and the adjustment time is output;

[0046] If the adjustment time is less than the ozone oxidation stage time, then the adjustment time is subtracted from the ozone oxidation stage time to obtain the remaining adjustment time;

[0047] The ratio of the early warning adjustment difference value and the remaining adjustment time is calculated, and the Rate adjustment amount is output.

[0048] Secondly, an ozone oxidation micro-electrolysis system for RO concentrated water treatment includes the following modules:

[0049] The consumption range analysis module: the ozone demand amount of RO concentrated water ozone oxidation in multiple historical processing periods is processed, and the ozone consumption range is output;

[0050] Consumption correlation analysis module: Based on the ozone consumption during the ozone oxidation stage of RO concentrate in multiple historical treatment cycles, and the excess ozone during the Fe-C micro-electrolysis coupling stage. The content was determined, a correlation analysis curve was constructed, and the correlation degree was analyzed to obtain the consumption correlation coefficient.

[0051] Excessive ozone emission warning module: Performs linear analysis on the constructed correlation curve. If a positive linear correlation is found, the consumption correlation coefficient and ozone consumption range are combined to construct... Excessive warning model

[0052] Rate warning and adjustment module: During the Fe-C micro-electrolysis coupling stage, it acquires the generation rate of each historical processing period after the historical processing cycle is divided, analyzes it, determines the fastest generation rate, obtains the corresponding fastest historical period, and performs period stability analysis over multiple historical cycles to determine the location interval of the fastest period. Within the location interval of the fastest period, it adjusts the rate based on... The over-prevention model yielded the following results: Rate adjustment amount.

[0053] The beneficial effects of this invention are as follows:

[0054] 1. This invention obtains the ozone demand during RO concentrate ozone oxidation in each historical treatment cycle, processes it, and outputs the ozone consumption range. This helps to avoid substandard pollutant degradation due to abnormal ozone consumption, ensuring the stability of the pretreatment process. By obtaining the ozone consumption in multiple historical treatment cycles, and the excess ozone during the Fe-C micro-electrolysis coupling stage... By analyzing the content and correlation, the consumption correlation coefficient is obtained. This not only reflects the relationship between ozone consumption and excess content under different operating conditions, but also helps to improve the quality of RO concentrate pretreatment, thereby avoiding excessive ozone supply and ineffective consumption, reducing ozone usage, and enhancing the adaptability of the pretreatment process to different operating conditions.

[0055] 2. This invention combines the consumption correlation coefficient and the ozone consumption range to construct... The overload warning model, through the construction The over-ozone warning model helps to provide early warnings about the ozone content during the subsequent ozone oxidation stage, allowing for timely adjustments to the RO concentrate pretreatment under different operating conditions. This improves fault tolerance and also predicts the required ozone content for the subsequent ozone oxidation stage. Furthermore, it can further obtain data on the Fe-C micro-electrolysis coupling stage in each historical treatment cycle. The generation rate is used to obtain the location interval of the fastest time period, and based on the... The over-prevention model yielded the following results: The rate adjustment amount not only helps to adjust the generation rate in time according to the content in the current target period, so that the reaction reaches the optimal state at the appropriate time, reduces the ozone ineffective consumption caused by excessive generated substances, makes the ozone more used for pollutant degradation, avoids ozone consumption anomaly, and further ensures that the ozone can fully react with the pollutants, thereby improving the degradation rate of pollutants in the RO concentrated water, and improving the water quality of the effluent. BRIEF DESCRIPTION OF DRAWINGS

[0056] The application will be further described below in combination with the drawings.

[0057] Figure 1 is a step flow chart of an ozone oxidation micro-electrolysis method for RO concentrated water treatment according to the application;

[0058] Figure 2 is a judgment flow chart in the ozone oxidation micro-electrolysis method for RO concentrated water treatment according to the application;

[0059] Figure 3 is a schematic diagram of the ozone oxidation micro-electrolysis method and system for RO concentrated water treatment according to the application. DETAILED DESCRIPTION

[0060] In order to make the technical means, creative features, purposes and effects of the application easy to understand, the application will be further described below in combination with specific embodiments.

[0061] Embodiment 1

[0062] An ozone oxidation micro-electrolysis method for RO concentrated water treatment, comprising the following specific steps:

[0063] S1, in the Fe-C micro-electrolysis coupling stage, the mass ratio of iron and carbon is 1:1, and Fe-C micro-electrolysis coupling pretreatment is carried out;

[0064] S2, the hydraulic retention time is 15-60 min, the influent COD is 87 mg / L, the effluent COD is 62 mg / L, the COD removal rate is 28.7%, and the ozone dosage is 65 mg / L;

[0065] S3, when the dissolution time is less than 1 min, and after the ozone is mixed with water and saturated, the ozone is transferred preferably in 10 s-30 s;

[0066] S4, the ozone-saturated RO concentrated water is introduced into a reactor containing fluidized bed activated carbon particles, so that the RO concentrated water contacts with the activated carbon particles, wherein the fluidized bed activated carbon particles with a particle size of 300 μm-1500 μm and a density greater than 0.45 are used, so as to improve the contact efficiency of activated carbon and pollutants, and reduce the loss of activated carbon particles.

[0067] Embodiment 2

[0068] Please refer to Figures 1-2 As shown in the figure, the ozone oxidation micro-electrolysis method for RO concentrated water treatment according to the embodiment of the application comprises the following steps:

[0069] Step one: in a plurality of historical treatment periods, the ozone demand amount of the RO concentrated water during ozone oxidation in each historical treatment period is obtained and processed, and the ozone consumption range is outputted;

[0070] It should be noted that the time required for each historical pretreatment of the RO concentrated water corresponds to a historical treatment period;

[0071] In some embodiments, the ozone demand amount is obtained as follows:

[0072] In the historical treatment period, the required degradation pollutant content in the RO concentrated water is obtained, and the ozone demand amount is obtained in combination with the oxidation reaction equation of ozone;

[0073] It should be noted that the required degradation pollutant content in the RO concentrated water is set by the person skilled in the art during the degradation of the RO concentrated water;

[0074] The ozone consumption range is obtained as follows:

[0075] The ozone demand amount corresponding to each historical treatment period and the corresponding actual ozone supply amount are extracted, and the actual ozone supply amount is subtracted from the ozone demand amount to output the actual ozone consumption amount;

[0076] The actual ozone consumption amount corresponding to each historical treatment period is compared in size, and the maximum actual ozone consumption amount and the minimum actual ozone consumption amount are analyzed and screened out as the ozone consumption range;

[0077] It should be noted that the meaning represented by the ozone consumption range is: according to the maximum and minimum values of the actual ozone consumption amount in the historical treatment period, a fluctuation interval reflecting the actual utilization of ozone under different working conditions is constructed, which includes not only the effective consumption required for pollutant degradation, but also the invalid consumption caused by excessive amount and other interference factors. Specifically, the purpose of obtaining the ozone consumption range is:

[0078] Purpose one: from the perspective of process stability, the Fe-C micro-electrolysis stage generates If excessive, it will compete with pollutants for ozone ( oxidized by ozone into ​This leads to increased ineffective ozone depletion; fluctuations in pollutant concentrations also cause changes in effective ozone depletion. Therefore, the ozone depletion range is defined by historical data as a "normal depletion interval"—when the actual ozone depletion in the current treatment cycle exceeds this range, it can be quickly determined that there may be a problem. Abnormalities such as excessive ozone supply (leading to high consumption) or insufficient ozone supply (leading to low consumption) require timely intervention and regulation (such as adjustment). (Generation rate or ozone supply) to avoid substandard pollutant degradation due to abnormal ozone depletion and to ensure the stability of the pretreatment process;

[0079] Objective 2: The core of Fe-C micro-electrolysis is to generate through the Fe and C electrode reaction. (As a catalyst or reducing agent for subsequent ozone oxidation), but Excessive ozone consumption can become a competitor to ozone; therefore, the range of ozone depletion reflects the historical effective utilization (degradation of pollutants) and ineffective depletion (waste) of ozone. The overall fluctuation of consumption;

[0080] Step 2: Obtain ozone consumption over multiple historical treatment cycles, as well as excess ozone during the Fe-C micro-electrolysis coupling stage. The content was analyzed to obtain the consumption correlation coefficient;

[0081] In some embodiments, the ozone consumption during the ozone oxidation stage and the excess ozone during the Fe-C micro-electrocoupling stage are extracted separately within a historical processing cycle. content;

[0082] Specifically, the process for obtaining ozone consumption during the ozone oxidation stage is as follows:

[0083] Obtain the ozone demand corresponding to the historical processing cycle and the corresponding actual ozone supply. Calculate the difference between the actual ozone supply and the ozone demand, and then calculate the ratio with the length of the ozone consumption range to output the ozone consumption.

[0084] The ozone depletion range length is obtained by subtracting the maximum ozone depletion and the minimum ozone depletion within the ozone depletion range.

[0085] Specifically, excess Fe-C micro-electrolysis coupling stage The process for obtaining the content is as follows:

[0086] The concentrated RO aqueous solution was divided into three layers: top, middle, and bottom. Content monitoring area, including the top, middle and bottom layers. The volume of concentrated RO solution within the content monitoring area is the same in all local areas.

[0087] Obtain the top layer of concentrated RO aqueous solution content in the content monitoring area content as the top layer content;

[0088] obtain the content of the bottom layer of the RO concentrated aqueous solution content in the content monitoring area content as the middle layer content;

[0089] obtain the content of the bottom layer of the RO concentrated aqueous solution content in the content monitoring area content as the bottom layer content;

[0090] sum the content of the top layer content, the middle layer content and the bottom layer content to obtain the content average of the solution content average;

[0091] If the content average of the solution content average is compared with the solution content threshold value, the process is as follows:

[0092] If the content average of the solution content average is less than or equal to the solution content threshold value, it indicates that the content of the solution content in the Fe-C micro-electrolysis coupling stage is in an ideal state, and no excessive ;

[0093] If the content average of the solution content average is greater than the solution content threshold value, it indicates that the content of the solution content in the Fe-C micro-electrolysis coupling stage is in an excessive state, showing an excessive signal, the content average of the solution content average is subtracted from the solution content threshold value, and the ratio is calculated to obtain the excessive content;

[0094] extract the ozone consumption corresponding to the excessive signal and the excessive content in each historical treatment period, and construct a content correlation analysis curve, wherein the X-axis is the excessive content, and the Y-axis is the ozone consumption;

[0095] It should be noted that the ozone consumption corresponding to the excessive signal and the excessive content in each historical treatment period are extracted, and a content correlation analysis curve is constructed, wherein the X-axis is the excessive ​​The contents are introduced into a two-dimensional coordinate system in order from small to large ozone depletion;

[0096] The X-axis coordinates and Y-axis coordinates of all coordinate points on the content correlation analysis curve are extracted respectively, the X-axis coordinates of all coordinate points are sorted from front to back according to the positions on the content correlation analysis curve, and an X-axis coordinate sequence is constructed;

[0097] Similarly, the Y-axis coordinates of all coordinate points are sorted from front to back according to the positions on the content correlation analysis curve, and a Y-axis coordinate sequence is constructed;

[0098] The X-axis coordinates on adjacent positions in the X-axis coordinate sequence are combined to obtain a plurality of X coordinate combinations;

[0099] The Y-axis coordinates on adjacent positions in the Y-axis coordinate sequence are combined to obtain a plurality of Y coordinate combinations;

[0100] For ease of understanding, for example, the X-axis coordinate sequence includes , , , and , and the Y-axis coordinate sequence includes , , , and ;

[0101] In the X-axis coordinate sequence, the and on adjacent positions are combined to obtain a group of X coordinate combinations;

[0102] In the X-axis coordinate sequence, the and on adjacent positions are combined to obtain a group of X coordinate combinations;

[0103] In the X-axis coordinate sequence, the and on adjacent positions are combined to obtain a group of X coordinate combinations;

[0104] In the X-axis coordinate sequence, the and on adjacent positions are combined to obtain a group of X coordinate combinations;

[0105] Similarly, in the Y-axis coordinate sequence, the and on adjacent positions are combined to obtain a group of Y coordinate combinations;

[0106] In the Y-axis coordinate sequence, the and combining the X coordinate combinations and the Y coordinate combinations to obtain a set of Y coordinate combinations;

[0107] combining the X coordinate combinations and the Y coordinate combinations to obtain a set of Y coordinate combinations; combining the X coordinate combinations and the Y coordinate combinations to obtain a set of Y coordinate combinations;

[0108] combining the X coordinate combinations and the Y coordinate combinations to obtain a set of Y coordinate combinations; combining the X coordinate combinations and the Y coordinate combinations to obtain a set of Y coordinate combinations;

[0109] combining the X coordinate combinations and the Y coordinate combinations to obtain a set of Y coordinate combinations;

[0110] For ease of understanding, the X coordinate combinations combined by the adjacent positions of and and the Y coordinate combinations combined by the adjacent positions of and are extracted respectively, and are combined twice to obtain a set of XY coordinate analysis groups;

[0111] For ease of understanding, the X coordinate combinations combined by the adjacent positions of and and the Y coordinate combinations combined by the adjacent positions of and are extracted respectively, and are combined twice to obtain a set of XY coordinate analysis groups;

[0112] For ease of understanding, the X coordinate combinations combined by the adjacent positions of and and the Y coordinate combinations combined by the adjacent positions of and are extracted respectively, and are combined twice to obtain a set of XY coordinate analysis groups;

[0113] For ease of understanding, the X coordinate combinations combined by the adjacent positions of and and the Y coordinate combinations combined by the adjacent positions of and are extracted respectively, and are combined twice to obtain a set of XY coordinate analysis groups;

[0114] In the XY coordinate analysis group, the adjacent X coordinates in the X coordinate combination are subtracted to obtain the X-axis adjacent change value, and the adjacent Y coordinates in the Y coordinate combination are subtracted to obtain the Y-axis adjacent change value;

[0115] The Y-axis adjacent change value and the X-axis adjacent change value are calculated by ratio to output the unit change coefficient;​​

[0116] The unit variation coefficient corresponding to each XY coordinate analysis group is extracted, and standard deviation calculation is performed, and the unit coefficient standard deviation is output;

[0117] The X coordinates in the X-axis coordinate sequence are subjected to mean value calculation, and the X coordinate mean value is output;

[0118] Similarly, the Y coordinates in the Y-axis coordinate sequence are subjected to mean value calculation, and the Y coordinate mean value is output;

[0119] The X coordinate mean value and the Y coordinate mean value are subjected to mean value calculation, and the XY coordinate coefficient is output;

[0120] The XY coordinate coefficient and the unit coefficient standard deviation are input into the coefficient of variation formula, and the content correlation evaluation value is output ;

[0121] Specifically, the coefficient of variation formula is: , wherein, represents the unit coefficient standard deviation, represents the XY coordinate coefficient;

[0122] It can be understood that the meaning represented by the content correlation evaluation value is that the XY coordinate coefficient and the unit coefficient standard deviation are combined by the coefficient of variation formula to obtain a comprehensive index that can reflect the close degree and change characteristics of the correlation between the ozone consumption and the excess content. Specifically, the purpose of obtaining the content correlation evaluation value is:

[0123] Purpose one: through the analysis of the evaluation value, the correlation between the ozone consumption and the excess content under different working conditions is reflected, providing a reference for adjusting process parameters, such as the reaction conditions of Fe-C micro-electrolysis, the supply amount of ozone, etc., so that the process runs in the best state, improving the treatment efficiency;

[0124] Purpose two: by ensuring the reasonable correlation between the ozone consumption and the Fe-C micro-electrolysis stage generated substance content, it can be ensured that the pollutants are fully degraded in the ozone oxidation stage, and the problem of poor treatment effect caused by insufficient or excessive ozone supply is avoided, which helps to improve the quality of RO concentrated water pretreatment;

[0125] Purpose three: through the accurate correlation analysis of the ozone consumption and the excess content, the excessive supply and ineffective consumption of ozone are avoided, the use amount of ozone is reduced, and the adaptability of the pretreatment process to different working conditions is enhanced;

[0126] The content correlation evaluation value is compared with the content correlation evaluation threshold value, and the process is as follows:

[0127] If the content correlation evaluation value is greater than the content correlation evaluation threshold, it indicates that the excessive content in the Fe-C micro-electrolysis coupling stage There is a close correlation between the content and the ozone consumption in the ozone oxidation, which shows a non-close signal of content correlation.

[0128] If the content correlation evaluation value is less than or equal to the content correlation evaluation threshold, it indicates that the excessive content in the Fe-C micro-electrolysis coupling stage There is a close correlation between the content and the ozone consumption in the ozone oxidation, which shows a non-close signal of content correlation, and the unit change coefficient corresponding to all XY coordinate analysis groups is calculated by mean value, and the consumption correlation coefficient is output.

[0129] The specific scheme of this embodiment is: in multiple historical processing periods, the ozone demand amount during the ozone oxidation of RO concentrated water in each historical processing period is obtained and processed, and the ozone consumption range is output, which helps to avoid the degradation of pollutants not meeting the standard due to abnormal ozone consumption, and ensures the stability of the pretreatment process. The ozone consumption amount in multiple historical processing periods is obtained, and the excessive content in the Fe-C micro-electrolysis coupling stage is The correlation degree analysis is performed on the content, and the consumption correlation coefficient is obtained, which not only reflects the correlation between the ozone consumption amount and the excessive content under different working conditions, but also helps to improve the quality of RO concentrated water pretreatment, thereby avoiding excessive supply and invalid consumption of ozone, reducing the use amount of ozone, and enhancing the adaptability of the pretreatment process to different working conditions.

[0130] Embodiment 3

[0131] Please refer to Figures 1-2 The ozone oxidation micro-electrolysis method for RO concentrated water treatment provided by the embodiment of the present application further includes the following steps:

[0132] Step three: combining the consumption correlation coefficient and the ozone consumption range to construct an excessive early warning model;

[0133] In some embodiments, the end point coordinates on the content correlation analysis curve are extracted and connected to fit a fitting analysis line.

[0134] It should be noted that the end point coordinates on the content correlation analysis curve are the start point coordinates and the end point coordinates on the content correlation analysis curve, respectively, wherein the two end point values in the ozone consumption range correspond to the Y coordinates in the start point coordinates and the Y coordinates in the end point coordinates on the content correlation analysis curve.

[0135] Extract all coordinate points on the correlation analysis curve, and take each coordinate point on the correlation analysis curve as a reference point to draw a unit vertical line perpendicular to the fitting analysis line. Obtain the proportion of the unit vertical line length to the fitting analysis line length to get the unit residual value.

[0136] The mean value of the unit residuals is calculated by averaging all the unit residuals and output as the mean value of the unit residuals.

[0137] Calculate the standard deviation of all unit residuals and output the standard deviation of the unit residuals.

[0138] Input the mean and standard deviation of the unit residuals into the coefficient of variation formula to obtain the linear analysis value. ;

[0139] Specifically: Coefficient of variation formula: ,in, Expressed as the standard deviation of the unit residuals, Represented as the mean of the unit residuals;

[0140] It should be noted that the significance of using the coefficient of variation formula is as follows: The calculated linear analysis value represents the vertical distance between each coordinate point on the correlation analysis curve and the fitted analysis line, thus reflecting the overall matching degree between the content correlation curve and the fitted analysis line, and indicating excess content in the Fe-C micro-electrolysis coupling stage. Based on the close correlation between the content and ozone consumption during ozone oxidation, further exploration was conducted to uncover the excess content within the Fe-C micro-electrolysis coupling stage. Is there a linear positive correlation between ozone content and ozone consumption during ozone oxidation, thus providing a basis for constructing... The over-exposure warning model provides data support;

[0141] The linear analysis value is compared with the linear analysis threshold, as follows:

[0142] If the linear analysis value is greater than the linear analysis threshold, it indicates that the overall matching degree between the content correlation curve and the fitted analysis line is low, and it is a non-linear positive correlation.

[0143] If the linear analysis value is less than or equal to the linear analysis threshold, it indicates a high overall match between the content correlation curve and the fitted analysis line, suggesting a positive linear correlation. The two endpoints within the ozone depletion range, along with the depletion correlation coefficient, are extracted as the model slope to construct the model. The over-exploitation warning model, wherein the warning model formula is: ,in, Represented as the model slope, Represented as a constant;

[0144] The purpose of the excess early warning model is to:

[0145] Purpose one: by constructing the early warning model, when extracting the generated in the Fe-C micro-electrolysis coupling stage, monitoring is beneficial to the early warning of the ozone amount in the subsequent ozone oxidation stage, timely adjustment of the RO concentrated water pretreatment under different working conditions, improvement of fault tolerance rate, and prediction of the required ozone amount in the subsequent ozone oxidation stage;

[0146] Purpose two: during the treatment process, if the substances generated in the Fe-C micro-electrolysis stage are excessive, they will not only compete with pollutants for ozone, but also may cause secondary pollution. Therefore, by monitoring the relationship between the excess content and the ozone consumption amount, the possible influence on the pollutant degradation effect can be found in time;

[0147] Step four: obtain the generation rate of the Fe-C micro-electrolysis coupling stage in each historical treatment period, obtain the fastest time interval, and obtain the excess early warning model according to the rate adjustment amount, complete the adjustment of the generation rate in the Fe-C micro-electrolysis coupling stage;

[0148] In some embodiments, the fastest time interval is obtained as follows:

[0149] Divide the historical treatment period into a plurality of historical treatment intervals, obtain the content of each historical treatment interval, and calculate the ratio of the historical treatment interval length, and output the interval generation rate;

[0150] Among them, the historical treatment intervals corresponding to the historical treatment period are equal in length, and the historical treatment intervals in each historical treatment period are divided in the same way, and the number of historical treatment intervals after division in each historical treatment period is the same;

[0151] In the historical treatment period, compare the interval generation rate in each historical treatment interval, select the fastest generation rate, and extract the historical treatment interval corresponding to the fastest generation rate, and mark it as the fastest rate historical interval;

[0152] Similarly, the fastest generation rate and the corresponding fastest rate historical interval in each historical treatment period are obtained;

[0153] For example, the fastest generation rate and the corresponding fastest rate historical interval in each historical treatment period are extracted, and the time sequence position of the fastest rate historical interval in the historical treatment period is obtained as the cycle fastest rate interval sorting; ​

[0154] extracting the corresponding period fastest rate period in each historical treatment cycle, and taking the position before and after the historical treatment period in the historical treatment cycle as the basis, obtaining the fastest period position interval;

[0155] It should be noted that the purpose of obtaining the fastest period position interval is:

[0156] Purpose one: from the time dimension, by determining the fastest period position interval, the specific time period that needs to be focused on in the entire historical treatment cycle is clear, which helps to determine the key monitoring period range, can timely discover such rhythm change, provides basis for subsequent adjustment of processing parameters, and ensures that the reaction reaches the best state at the right time;

[0157] Purpose two: the fastest period position interval contains multiple fastest generation rate historical periods, and the fastest generation rate can be used as an important benchmark for rate adjustment. The rate adjustment value obtained according to the excess early warning model is an adjustment to the generation rate in this key period. By adjusting this benchmark rate, the reaction speed of the entire Fe-C micro-electrolysis coupling stage can be controlled, and the poor treatment effect or resource waste caused by too fast or too slow generation rate can be avoided;

[0158] Purpose three: by accurately obtaining the fastest period position interval and adjusting the generation rate of the period in the fastest period position interval, it can be ensured that the pollutants can be effectively removed in the key reaction stage, and further data support is provided for the determination of the period of rate adjustment;

[0159] The process of obtaining the rate adjustment amount is as follows:

[0160] The period generation rate corresponding to all key monitoring periods in the fastest period position interval is calculated by mean value, and the key generation rate is output;

[0161] extracting The early warning model formula corresponding to the excess early warning model is: , and the maximum and minimum ozone actual consumption in the ozone consumption range is extracted, and the ratio calculation is carried out with the consumption correlation coefficient, and the maximum excess and minimum excess are output, and the excess range is constructed;

[0162] The content of the excess in the current key monitoring starting period is obtained;

[0163] For example, an arbitrary key monitoring period in the fastest period position interval currently located is selected as the current target period;

[0164] If the content in the current target period is not in the excessive range, the minimum excess in the excessive range is taken as the early warning value, the content in the current key monitoring starting period is subtracted to obtain a warning adjustment difference, and the key generation rate is calculated by ratio to output an adjustment duration; The early warning adjustment difference is calculated by ratio with the remaining adjustment duration to output a rate adjustment amount;

[0165] If the adjustment duration is greater than or equal to the duration to the ozone oxidation stage, no rate adjustment operation is needed;

[0166] If the adjustment duration is less than the duration to the ozone oxidation stage, the adjustment duration is subtracted from the duration to the ozone oxidation stage to obtain a remaining adjustment duration;

[0167] The duration to the ozone oxidation stage is the total micro-electrolysis duration obtained by averaging the durations of multiple Fe-C micro-electrolysis coupling stages, and the total micro-electrolysis duration is subtracted from the current micro-electrolysis duration to output the remaining adjustment duration;

[0168] The early warning adjustment difference is calculated by ratio with the remaining adjustment duration to output a rate adjustment amount;

[0169] It should be noted that the purpose of the rate adjustment amount is to:

[0170] Purpose one: to help timely adjust the generation rate according to the content in the current target period, so that the reaction reaches the best state at the right time, reduces the ozone invalid consumption caused by excess of generated substances, makes the ozone more used for pollutant degradation, and avoids ozone consumption anomaly;

[0171] Purpose two: to avoid excess of generated substances competing with pollutants for ozone by accurately adjusting the generation rate of Fe-C micro-electrolysis coupling, to ensure that the ozone can fully react with pollutants, thereby improving the degradation rate of pollutants in RO concentrated water and improving the effluent water quality;

[0172] Purpose three: it can also provide a suitable reaction environment (such as a catalyst) for subsequent ozone catalytic oxidation, and the ozone oxidation can further degrade the intermediate products generated by the iron-carbon micro-electrolysis to improve the overall treatment efficiency;

[0173] The specific scheme of the embodiment is to combine the consumption correlation coefficient and the ozone consumption range to construct an excess early warning model, and to calculate the early warning adjustment difference by ratio with the remaining adjustment duration to output a rate adjustment amount; ​​​​​​​​The excess early warning model is helpful for early warning of the amount of ozone in the subsequent ozone oxidation stage, timely adjustment of the RO concentrated water pretreatment under different working conditions, improvement of the fault tolerance rate, prediction of the required amount of ozone in the subsequent ozone oxidation stage, and further acquisition of the generation rate of Fe-C micro electrolysis in the Fe-C micro electrolysis coupling stage in each historical treatment period The fastest period position interval is obtained, and the generation rate is adjusted according to the excess early warning model The excess early warning model is obtained The rate adjustment amount is obtained, which is not only helpful for timely adjustment of the generation rate according to the content in the current target period, so that the reaction reaches the best state at the appropriate time, reduces the invalid consumption of ozone caused by excessive generated substances, makes ozone more used for pollutant degradation, avoids ozone consumption anomaly, and further guarantees that ozone can fully react with pollutants, thereby improving the degradation rate of pollutants in the RO concentrated water and improving the effluent water quality.

[0174] Embodiment 4

[0175] Please refer to Figure 3 The ozone oxidation micro electrolysis system for RO concentrated water treatment provided by the embodiment of the present application comprises the following modules:

[0176] The consumption range analysis module processes the ozone demand amount in the RO concentrated water ozone oxidation stage in a plurality of historical treatment periods, and outputs an ozone consumption range;

[0177] The consumption correlation analysis module constructs a correlation analysis curve and performs correlation degree analysis according to the ozone consumption amount in the RO concentrated water ozone oxidation stage and the excess content in the Fe-C micro electrolysis coupling stage in a plurality of historical treatment periods, and obtains a consumption correlation coefficient

[0178] The excess early warning construction module performs linear analysis on the constructed correlation analysis curve, and if the linear correlation is positive, the consumption correlation coefficient and the ozone consumption range are combined to construct an excess early warning model

[0179] The rate early warning adjustment module acquires the period generation rate corresponding to each historical treatment period in the Fe-C micro electrolysis coupling stage in the historical treatment period, performs analysis, determines the fastest generation rate, obtains the corresponding fastest rate historical period, and performs period stability analysis in a plurality of historical periods to determine the fastest period position interval. The excess early warning model is obtained The rate adjustment amount is obtained.

[0180] ​​The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above-mentioned embodiments, and the above-mentioned embodiments and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for ozone oxidation micro-electrolysis for RO concentrate treatment, characterized in that: Comprise: The ozone demand amount of RO concentrated water ozone oxidation in multiple historical processing periods is processed, and the ozone consumption range is output; According to the ozone consumption in the ozone oxidation stage of the RO concentrated water in multiple historical treatment cycles, and the excess content in the Fe-C micro-electrolysis coupling stage, the correlation analysis curve is constructed, and the correlation degree analysis is carried out to obtain the consumption correlation coefficient: If the correlation analysis curve is linearly positive, the consumption correlation coefficient and the ozone consumption range are combined to construct a correlation analysis curve Early warning model In the Fe-C micro-electrolysis coupling stage, the period generation rate corresponding to each historical processing period after division in the historical processing period is obtained, analyzed, the fastest generation rate is determined, the corresponding fastest rate historical period is obtained, and the period stability analysis is carried out in multiple historical periods, the fastest period position interval is determined, and in the fastest period position interval, the excess early warning model is obtained rate adjustment amount; The ozone consumption range is obtained in the following way: In the historical processing period, the required degradation pollutant content in the RO concentrated water is obtained, combined with the oxidation reaction equation with ozone, the ozone demand amount is obtained, the ozone demand amount corresponding to each historical processing period is extracted, and the ozone actual supply amount is extracted, and the difference is calculated to output the ozone actual consumption amount. The ozone actual consumption amount corresponding to each historical processing period is compared in size, and the maximum ozone actual consumption amount and the minimum ozone actual consumption amount are analyzed and screened out as the ozone consumption range; Fe-C micro-electrolysis coupled with excess in the stage The content is obtained in the following way: The ozone demand amount corresponding to the historical processing period and the corresponding ozone actual supply amount are calculated by difference, and the length of the ozone consumption range is calculated by ratio, and the obtained ozone consumption amount is output; Divide the RO concentrated water solution into top, middle and low three layers The content monitoring area, respectively, get the top layer of RO concentrated water solution The content monitoring area, middle layer The content monitoring area and the bottom layer The content in the content monitoring area The content of the top layer The content of the middle layer The content of the bottom layer The content, and the average value is calculated, output to get the solution The content average value; If the solution content average is greater than the solution content threshold, then the solution content average is subtracted from the solution content threshold, and a ratio calculation is performed with the solution content threshold, and the output is the excess content.

2. The method for ozone oxidation and micro-electrolysis for RO concentrate treatment according to claim 1, characterized in that: The process of correlation analysis is as follows: The content correlation analysis curve is constructed, and the X-axis coordinates and Y-axis coordinates of all coordinate points are extracted to construct the X-axis coordinate sequence and Y-axis coordinate sequence respectively; The X-coordinate combination and Y-coordinate combination with the same position are combined twice to obtain multiple XY coordinate analysis groups, and the X-axis adjacent change value and Y-axis adjacent change value are obtained respectively, the ratio is calculated, the unit change coefficient is output, and the unit coefficient standard deviation is calculated, and the unit coefficient standard deviation is output. The X coordinates in the X axis coordinate sequence and the Y coordinates in the Y axis coordinate sequence are respectively calculated by mean value, and the X coordinate mean value and the Y coordinate mean value are output, and the XY coordinate coefficient is calculated by mean value. The XY coordinate coefficient and the unit coefficient standard deviation are input into the coefficient of variation formula to obtain the content correlation evaluation value, and if it is less than or equal to the content correlation evaluation threshold, the content correlation close signal is generated.

3. The method for ozone oxidation and micro-electrolysis of RO concentrated water according to claim 2, characterized in that: The correlation coefficient is obtained in the following way: If the content correlation close signal is generated, the unit change coefficient corresponding to all XY coordinate analysis groups is calculated by mean value, and the consumption correlation coefficient is output.

4. The method for ozone oxidation and micro-electrolysis for RO concentrate treatment according to claim 1, characterized in that: The over-early-warning model is constructed in the following way: If the linear analysis value is less than or equal to the linear analysis threshold value, two end point values in the ozone depletion range are extracted respectively, and a depletion correlation coefficient is taken as a model slope to construct a model An excess early warning model, wherein the early warning model formula is: wherein, is taken as a model slope, is taken as a constant.

5. The method for ozone oxidation and micro-electrolysis for RO concentrate treatment according to claim 1, characterized in that: The linear analysis value is obtained in the following way: The end point coordinates on the content correlation analysis curve are extracted and connected to fit a fitting analysis line, all coordinate points on the correlation analysis curve are extracted, and each coordinate point on the correlation analysis curve is taken as a reference point to draw a unit vertical line perpendicular to the fitting analysis line. Get the proportion of the length of the unit vertical line to the length of the fitting analysis line to get the unit residual value; All unit residual values are calculated by mean value, and the unit residual mean value is output; All unit residual values are calculated by standard deviation, and the unit residual standard deviation is output; The unit residual mean value and the unit residual standard deviation are input into the coefficient of variation formula to output the linear analysis value.

6. The method for ozone oxidation and micro-electrolysis for RO concentrate treatment according to claim 1, characterized in that: The fastest time period position interval is obtained in the following way: The historical processing period is divided into a plurality of historical processing time periods, the content in each historical processing time period is obtained, and a ratio calculation is performed with the historical processing time period length to output a time period generation rate. The historical processing period is divided into a plurality of historical processing time periods, the content in each historical processing time period is obtained, and a ratio calculation is performed with the historical processing time period length to output a time period generation rate. In the historical processing period, the time period generation rate in each historical processing period is compared, the fastest generation rate is screened out, and the historical processing period corresponding to the fastest generation rate is extracted and marked as the fastest rate historical period; Extract the fastest generation rate in each historical processing period, and obtain the time sequence position of the fastest rate history period in the historical processing period, as the period fastest rate period sorting; Extract the corresponding period fastest rate period in each historical processing period, and take the position of the historical processing period as the basis, to obtain the fastest period position interval.

7. The method for ozone oxidation and micro-electrolysis for RO concentrate treatment according to claim 1, characterized in that: The rate adjustment amount is obtained as follows: The fastest period position interval is calculated by the mean value of the period generation rate, and the key generation rate is output; According to the early warning model formula: , the maximum actual ozone consumption and the minimum actual ozone consumption in the ozone consumption range are extracted, and the ratio calculation is performed with the consumption correlation coefficient, and the maximum excess and the minimum excess are output and obtained, and the excess range is constructed. overage range;​​ Select a key monitoring period in the fastest period position interval as the current target period; If the current target time period is within The content was not at If the amount is excessive, then... Minimum within the excess range Excessive levels are warning values, and are within the current key monitoring period. The difference between the content is calculated to obtain the early warning adjustment difference, and the ratio with the key generation rate is calculated to output the adjustment duration. If the adjustment time is less than the ozone oxidation stage time, the difference between the adjustment time and the ozone oxidation stage time is obtained, and the remaining adjustment time is obtained. The early warning adjustment difference value is calculated by ratio with the remaining adjustment duration, and an output is obtained The rate adjustment amount.

8. An ozone oxidation micro-electrolysis system for RO concentrate treatment, characterized in that: Comprise: Consumption range analysis module: process the ozone demand of RO concentrated water ozone oxidation in multiple historical processing periods, and output the ozone consumption range; Consumption correlation analysis module: Based on the ozone consumption during the ozone oxidation stage of RO concentrate in multiple historical treatment cycles, and the excess ozone during the Fe-C micro-electrolysis coupling stage. Content, construct correlation analysis curves, and perform correlation degree analysis to obtain the consumption correlation coefficient: Excess early warning model: linear analysis is made on the constructed correlation analysis curve, if it is linear positive correlation, the consumption correlation coefficient and the ozone consumption range are combined to construct an excess early warning model. The rate early warning adjustment module: in the Fe-C micro electrolysis coupling stage, the time period generation rate corresponding to each historical processing period after division in the historical processing period is obtained, analyzed, the fastest generation rate is determined, the corresponding fastest rate historical period is obtained, and the time period stability analysis is carried out in multiple historical periods, the fastest period position interval is determined, and in the fastest period position interval, the excess early warning model is obtained The rate adjustment amount ​ The acquisition method of ozone consumption range is: In the historical processing period, the required degradation pollutant content in the RO concentrated water is obtained, combined with the oxidation reaction equation of ozone, to obtain the ozone demand, and the corresponding ozone actual supply amount is extracted, and the difference is calculated, and the ozone actual consumption amount is output. Compare the corresponding ozone actual consumption amount of each historical processing period, and analyze and select the maximum ozone actual consumption amount and the minimum ozone actual consumption amount as the ozone consumption range; Fe-C micro-electrolysis coupled with excess in the stage The content is obtained in the following way: Calculate the ratio of the difference between the ozone demand and the corresponding ozone actual supply amount in the historical processing period to the length of the ozone consumption range, and output the ozone consumption amount. Divide the RO concentrated water solution into top, middle and low three layers The content monitoring area, respectively, get the top layer of RO concentrated water solution The content monitoring area, middle layer The content monitoring area and the bottom layer The content in the content monitoring area The content, get the top layer The content, middle layer The content and the bottom layer The content, and carry out mean value calculation, output to get the solution The content mean value; If solution The average content is greater than that of the solution. The content threshold will then be used to determine the solution. Average content and solution After subtracting the content threshold, and then comparing it with the solution... The content threshold is used to calculate the ratio, and the output is the excess. content.

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