Intelligent denitration control method and system

Abstract

The invention belongs to the technical field of denitration, and provides an intelligent denitration control method and system.The intelligent denitration control method comprises the steps that the duration of obtaining fresh water through dialysis method desalination is compared and analyzed, a dialysis abnormal signal is obtained, and ion migration data in the dialysis method desalination process is obtained and analyzed; judging whether the dialysis abnormity in dialysis method desalination is caused by the abnormal ion migration rate or not; the method comprises the following steps: acquiring energization data of an ion dialyzer, performing combined analysis on the energization data and migration data to obtain an influence evaluation value, determining whether an influence relationship exists between the change of the energization amount and the change of the ion migration rate according to the influence evaluation value, and acquiring an energization regulation and control coefficient which comprises an energization amount regulation and control value, and the energization amount of the ion dialyzer is regulated and controlled based on the energization regulation and control coefficient. The method is beneficial for improving the denitration efficiency and quality.

Description

[0001] Priority declaration

[0002] This application claims the priority of the Chinese patent application filed with the China Patent Office on August 7, 2024, with application number CN 202411076516.4 and invention name “A Smart DeNOx Control Method and System”, the entire contents of which are incorporated by reference in this application. Technical Field

[0003] The present invention belongs to the technical field of denitrification, and specifically relates to an intelligent denitrification control method and system. Background Art

[0004] With the acceleration of global industrialization and the increase in energy consumption, nitrogen oxide emissions have become one of the main sources of air pollution, posing a serious threat to the environment and human health. Therefore, the research and development and application of denitrification technology has become an important topic worldwide.

[0005] A Chinese patent application with publication number CN108147613A discloses a method for treating catalytic cracking flue gas desulfurization and denitrification wastewater, comprising: (1) ozone oxidation: mainly removing reducing salts in the wastewater; (2) biochemical treatment: mainly removing total nitrogen in the wastewater; (3) softening treatment: mainly removing hardness ions such as calcium and magnesium and suspended matter in the wastewater; (4) concentration treatment: using concentration treatment to increase the salt content; (5) bipolar membrane electrodialysis treatment: using two-stage bipolar membrane electrodialysis desalination.

[0006] In the above-mentioned prior art, during the desulfurization and denitrification process, there is a lack of analysis of the dialysis desalination process, that is, there is a lack of abnormal analysis of the duration of dialysis desalination and analysis of the causes of its abnormal impact, and the desalination efficiency and quality cannot be guaranteed.

[0007] To this end, the present invention provides an intelligent denitrification control method and system. Summary of the invention

[0008] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0009] The technical solution adopted by the present invention to solve the technical problem is: an intelligent denitrification control method, comprising:

[0010] S1: Wastewater pretreatment: remove impurities such as suspended matter, colloids, organic matter, etc. in wastewater;

[0011] S2: Electrodialysis treatment: The pretreated wastewater is subjected to electrodialysis treatment to obtain fresh water;

[0012] Compare and analyze the time taken to obtain fresh water by dialysis desalination to obtain dialysis abnormality signals, obtain and analyze the migration data of ions during dialysis desalination, obtain the migration abnormality impact value and determine whether the dialysis abnormality in dialysis desalination is caused by abnormal ion migration rate;

[0013] Based on the fact that the dialysis anomaly in dialysis desalination is caused by the abnormal ion migration rate, the power-on data of the ion dialyzer is obtained, and the impact assessment value is obtained based on the combined analysis of the power-on data and the migration data. According to the impact assessment value, it is determined whether there is an impact relationship between the change in the power-on amount and the change in the ion migration rate, and a signal is generated, wherein the signal includes an impact signal and a non-impact signal;

[0014] Based on the influencing signal, a power-on control coefficient is obtained, wherein the power-on control coefficient includes a power-on amount control value, and the power-on amount of the ion dialyzer is controlled based on the power-on control coefficient;

[0015] S3: Use chemical precipitation and biological treatment technology to further treat or recycle the wastewater with high concentration of nitrates;

[0016] S4: Discharge treated fresh water to the environment or reuse it in other processes.

[0017] As a further technical solution of the present invention, the time for obtaining fresh water by dialysis desalination is marked as the dialysis desalination time, and the dialysis desalination time is compared with the preset standard desalination time. If the dialysis desalination time is longer than the preset standard desalination time, a dialysis abnormality signal is generated;

[0018] Migration data include migration rate values;

[0019] All migration rate values ​​within the dialysis desalination time are marked in the XY two-dimensional coordinate system, and the marked migration rate value data points are connected to obtain a migration rate change curve, the migration rate standard value is marked on the Y axis as the first reference value, and a straight line parallel to the X axis is drawn through the first reference value mark point, and it is marked as the first reference line, and the desalination preset standard time is marked on the X axis as the second reference value, and a straight line parallel to the Y axis is drawn through the second reference value mark point, and it is marked as the second reference line;

[0020] Based on processing and analyzing the migration rate change curve, the first baseline and the second baseline, a migration anomaly impact value is obtained.

[0021] As a further technical solution of the present invention, the migration rate change curve, the first baseline and the second baseline are processed and analyzed, and the process is as follows:

[0022] Mark the portion of the migration rate change curve that is lower than the first baseline as an abnormal curve, measure the area enclosed by the abnormal curve and the first baseline, and mark it as a migration abnormal area, obtain the intersection between the first baseline and the second baseline, mark the portion of the baseline corresponding to the intersection and the end point of the first baseline as a first sub-baseline, obtain the area enclosed by the first sub-baseline and the X-axis, and mark it as a migration reference area;

[0023] The migration abnormality area and the migration reference area are difference processed, and the absolute value of the difference is taken to obtain the migration abnormality deviation area, the area enclosed by the first baseline and the X-axis is measured and marked as the migration normal area, and the migration abnormality deviation area is ratio processed with the migration normal area to obtain the migration abnormality impact value.

[0024] As a further technical solution of the present invention, the migration anomaly impact value is compared with the migration anomaly impact threshold;

[0025] If the migration anomaly impact value is less than or equal to the migration anomaly impact threshold, it means that the dialysis anomaly in dialysis desalination is caused by the abnormal ion migration rate;

[0026] If the migration anomaly impact value is greater than the migration anomaly impact threshold, it means that the dialysis anomaly in dialysis desalination is not caused by the abnormal ion migration rate.

[0027] As a further technical solution of the present invention, the power-on data includes the power-on amount, all the power-on amounts within the dialysis desalination time are obtained, and they are marked in the XY two-dimensional coordinate system respectively, and the marked power-on amount data points are connected to obtain the power-on change curve;

[0028] Based on the analysis of the power-on change curve and the migration rate change curve, the number ratio of the synchronous analysis nodes and the number ratio of the normal sub-curve groups are obtained;

[0029] The number of nodes analyzed simultaneously is marked as TB;

[0030] The number ratio of the normal sub-curve group is marked as ZC;

[0031] By formula: Obtain an impact assessment value YS, where s1 and s2 are both preset proportional coefficients;

[0032] comparing the impact assessment value to an impact assessment threshold;

[0033] If the impact assessment value is greater than the impact assessment threshold, it means that there is an impact relationship between the change in the amount of electricity passed and the change in the ion migration rate, and an impact signal is generated;

[0034] If the impact assessment value is less than or equal to the impact assessment threshold, it means that there is no impact relationship between the change in the amount of current flow and the change in the ion migration rate, and a non-impact signal is generated.

[0035] As a further technical solution of the present invention, the method for obtaining the number ratio of synchronous analysis nodes is as follows:

[0036] Several analysis nodes are selected within the dialysis desalination time, where the interval between every two adjacent analysis nodes is the same. The migration tangent slope and the power-on tangent slope corresponding to the analysis node are obtained and analyzed respectively, and the analysis node is marked according to the analysis results. The specific analysis process is as follows:

[0037] If the migration tangent slope and the power-on tangent slope corresponding to the analysis node are of the same positive and negative value, the analysis node is marked as a synchronous analysis node;

[0038] If the migration tangent slope and the power-on tangent slope corresponding to the analysis node are opposite in sign, the analysis node is marked as an asynchronous analysis node;

[0039] The migration tangent slope and the power-on tangent slope corresponding to the analysis node are obtained as follows:

[0040] Mark the analysis node on the X-axis in the coordinate system where the migration rate change curve is located, draw a straight line parallel to the Y-axis through the analysis node, obtain the intersection of the straight line and the migration rate change curve, obtain the tangent slope of the migration rate change curve at the intersection, and obtain the migration tangent slope corresponding to the analysis node; mark the analysis node on the X-axis in the coordinate system where the power-on change curve is located, draw a straight line parallel to the Y-axis through the analysis node, obtain the intersection of the straight line and the power-on change curve, obtain the oblique slope of the power-on change curve at the intersection, and obtain the power-on tangent slope corresponding to the analysis node;

[0041] The number of synchronous analysis nodes in the statistical analysis nodes is calculated, and the number of synchronous analysis nodes is ratioed to the number of analysis nodes to obtain a ratio of the number of synchronous analysis nodes.

[0042] As a further technical solution of the present invention, the method for obtaining the quantity ratio of the normal sub-curve group is as follows:

[0043] Obtain the coordinates of the two end points of the migration rate change sub-curve in the sub-curve group, perform difference processing on the ordinate values ​​of the two end points, and take the absolute value of the difference to obtain the ordinate change value corresponding to the migration rate change sub-curve;

[0044] Obtain the coordinates of the two end points of the power-on change sub-curve in the sub-curve group, perform difference processing on the ordinate values ​​of the two end points, and take the absolute value of the difference to obtain the ordinate change value corresponding to the power-on change sub-curve;

[0045] The ordinate change value corresponding to the migration rate change sub-curve is ratio-processed with the ordinate change value corresponding to the power-on change sub-curve to obtain the change ratio corresponding to the sub-curve group.

[0046] As a further technical solution of the present invention, the sub-curve group is obtained by:

[0047] Mark the part of the migration rate change curve corresponding to the intersection of every two adjacent analysis nodes and the migration rate change curve as a migration rate change sub-curve. Similarly, mark the part of the power-on change curve corresponding to the intersection of every two adjacent analysis nodes and the power-on change curve as a power-on change sub-curve.

[0048] Integrate the migration rate change sub-curve and the power-on change sub-curve into a sub-curve group;

[0049] The constraint condition of the integration is that the two adjacent analysis nodes corresponding to the migration rate change sub-curve are the same as the two adjacent analysis nodes corresponding to the power-on change sub-curve.

[0050] As a further technical solution of the present invention, the method for obtaining the power supply control value is:

[0051] All normal sub-curve groups are obtained, and the endpoints of the migration rate change sub-curve and the endpoints of the power-on change sub-curve in the normal sub-curve group are analyzed. According to the analysis results, the normal sub-curve group is marked as a synchronous normal sub-curve group and an asynchronous normal sub-curve group;

[0052] Obtain the change ratios of all synchronized normal sub-curve groups, and sum and average their change ratios to obtain the target change ratio;

[0053] The migration rate value is subjected to difference processing with the migration rate standard value to obtain the migration rate deviation value, and the migration rate deviation value is subjected to ratio processing with the target change ratio to obtain the power supply control value;

[0054] The process of labeling normal sub-curve groups is:

[0055] If the analysis nodes corresponding to the end points of the migration rate change sub-curve and the end points of the power-on change sub-curve in the normal sub-curve group on the X-axis are all synchronous analysis nodes, then the normal sub-curve group is marked as a synchronous normal sub-curve group; if the analysis nodes corresponding to the end points of the migration rate change sub-curve and the end points of the power-on change sub-curve in the normal sub-curve group on the X-axis are not all synchronous analysis nodes or are not synchronous analysis nodes, then the normal sub-curve group is marked as an asynchronous normal sub-curve group.

[0056] An intelligent denitrification control system, comprising:

[0057] Dialysis analysis module: obtain the time of obtaining fresh water by dialysis desalination, and perform comparative analysis to obtain the dialysis signal, wherein the dialysis signal includes an abnormal dialysis signal and a normal dialysis signal. Based on the abnormal dialysis signal, obtain the migration data of ions in the dialysis desalination process, wherein the migration data includes a migration rate value. Based on the analysis of the migration data, obtain the migration abnormality impact value, and judge whether the dialysis abnormality in the dialysis desalination is caused by the abnormal ion migration rate according to the migration abnormality impact value;

[0058] Impact analysis module: based on the fact that dialysis anomaly in dialysis desalination is caused by abnormal ion migration rate, the power-on data of the ion dialyzer is obtained, wherein the power-on data includes the power supply amount, and the impact assessment value is obtained based on the combined analysis of the power-on data and the migration data. According to the impact assessment value, it is determined whether there is an impact relationship between the change in the power supply amount and the change in the ion migration rate, and a signal is generated, wherein the signal includes an impact signal and a non-impact signal;

[0059] Dialysis control module: based on the generated influence signal, obtain the power-on control coefficient, wherein the power-on control coefficient includes the power-on amount control value, and control the power-on amount of the ion dialyzer based on the power-on control coefficient.

[0060] The beneficial effects of the present invention are as follows:

[0061] 1. The present invention obtains the time length of desalination by dialysis to obtain fresh water, and performs comparative analysis to obtain a dialysis signal. Based on the dialysis abnormality signal, the migration data of ions in the dialysis desalination process is obtained. Based on the analysis of the migration data, the migration abnormality impact value is obtained. According to the migration abnormality impact value, it is determined whether the dialysis abnormality in the dialysis desalination is caused by the abnormal ion migration rate. Based on the fact that the dialysis abnormality in the dialysis desalination is caused by the abnormal ion migration rate, the power-on data of the ion dialyzer is obtained. Based on the combined analysis of the power-on data and the migration data, an impact evaluation value is obtained. According to the impact evaluation value, it is determined whether there is an impact relationship between the change in the power-on amount and the change in the ion migration rate, and a signal is generated, wherein, The signal includes an influencing signal and a non-influencing signal. When the time for obtaining fresh water by dialysis desalination exceeds a preset time, the present invention generates a dialysis abnormality signal. Based on the dialysis abnormality signal, it is analyzed whether the time used for ion dialysis desalination is caused by abnormal ion migration rate. If so, it is analyzed whether there is an influence relationship between the change in the amount of power supplied and the change in the ion migration rate. The present invention analyzes whether the ion dialysis desalination is abnormal during the destocking process and the cause of the abnormality, which is conducive to timely discovering abnormal problems during the destocking process. At the same time, it is analyzed whether there is an influence relationship between the change in the ion migration rate and the change in the amount of power supplied, and the cause of the abnormal ion dialysis desalination is deeply analyzed, which is convenient for the subsequent rapid determination of the direction that needs to be optimized and adjusted during the destocking process.

[0062] 2. The present invention obtains a power-on control coefficient based on the generated influence signal, wherein the power-on control coefficient includes a power-on amount control value. The power-on amount of the ion dialyzer is regulated based on the power-on control coefficient. The present invention obtains the power-on amount control value based on the influence change relationship between the power-on amount change and the ion migration rate, thereby regulating the power-on amount of the ion dialyzer. The control value is targeted and accurate, which is beneficial to improving the out-of-stock efficiency and quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The present invention will be further described below in conjunction with the accompanying drawings.

[0064] Figure 1 is a flow chart of the steps of a smart denitration control method according to Example 2 of the present invention;

[0065] Figure 2 is a flowchart of a step of an alternative intelligent denitration control method described in Example 3 of the present invention;

[0066] Figure 3 It is a flowchart of an intelligent denitrification control system described in Example 4 of the present invention. DETAILED DESCRIPTION

[0067] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0068] Example 1

[0069] An intelligent denitration control method according to an embodiment of the present invention includes:

[0070] S1: Wastewater pretreatment: remove suspended solids, colloids, organic matter and other impurities in wastewater, reduce pollution to electrodialysis membrane, and improve treatment efficiency and membrane service life;

[0071] S2: Electrodialysis treatment: The pretreated wastewater is subjected to electrodialysis treatment, and the selective permeability of the electrodialysis membrane is used to separate the nitrate ions in the wastewater from other ions to achieve nitrate removal;

[0072] S3: Brine treatment: Chemical precipitation and biological treatment technologies are used to further treat or recycle wastewater with high nitrate concentrations;

[0073] S4: Discharge treated fresh water to the environment or reuse it in other processes.

[0074] Example 2

[0075] like Figure 1 As shown, based on Example 1, a smart denitration control method according to an embodiment of the present invention includes:

[0076] Step 1: Obtain the time for obtaining fresh water by dialysis desalination, and perform comparative analysis to obtain a dialysis signal, wherein the dialysis signal includes an abnormal dialysis signal and a normal dialysis signal. Based on the abnormal dialysis signal, obtain the migration data of ions in the dialysis desalination process, wherein the migration data includes a migration rate value. Based on the analysis of the migration data, obtain a migration abnormality impact value, and judge whether the dialysis abnormality in the dialysis desalination is caused by the abnormal ion migration rate according to the migration abnormality impact value;

[0077] In some embodiments, the time for obtaining fresh water by dialysis desalination is marked as the dialysis desalination time, and the dialysis desalination time is compared with the preset standard desalination time. If the dialysis desalination time is greater than the preset standard desalination time, a dialysis abnormality signal is generated; if the dialysis desalination time is less than or equal to the preset standard desalination time, a dialysis normal signal is generated;

[0078] In some embodiments, based on the generation of a dialysis abnormality signal, all migration rate values ​​within the dialysis desalination time are marked in an XY two-dimensional coordinate system, and the marked migration rate value data points are connected to obtain a migration rate change curve, wherein the X-axis represents time, the Y-axis represents the migration rate value, the migration rate standard value is marked on the Y-axis as the first reference value, and a straight line parallel to the X-axis is drawn through the first reference value mark point, and it is marked as the first reference line, and the desalination preset standard time is marked on the X-axis as the second reference value, and a straight line parallel to the Y-axis is drawn through the second reference value mark point, and it is marked as the second reference line;

[0079] It should be noted that the length of the first baseline is equal to the horizontal length of the migration rate change curve, and the migration rate standard value is the average migration rate under the preset standard desalination time;

[0080] It should be noted that the migration rate value is obtained in the following manner: a number of migration rate detection points are set in the concentrated water chamber and the fresh water chamber inside the electroosmosis device, and the ions are detected at the migration rate detection points by a migration detection device to obtain the migration rate value at the migration rate detection point, wherein the migration detection device includes but is not limited to a migration rate tester, a conductivity meter, etc., and the migration rate values ​​at all the migration rate detection points are summed and averaged to obtain the migration rate value of the ions, wherein the migration rate values ​​of all ions within the preset standard desalination time are summed and averaged to obtain the migration rate standard value;

[0081] Based on processing and analyzing the migration rate change curve, the first baseline and the second baseline, a migration abnormality impact value is obtained;

[0082] Specifically, a portion of the migration rate change curve that is lower than the first baseline is marked as an abnormal curve, the area enclosed by the abnormal curve and the first baseline is measured and marked as a migration abnormal area, the intersection between the first baseline and the second baseline is obtained, the portion of the baseline corresponding to the intersection and the end point of the first baseline is marked as a first sub-baseline, the area enclosed by the first sub-baseline and the X-axis is obtained, and marked as a migration reference area;

[0083] Perform difference processing on the migration abnormal area and the migration reference area, and take the absolute value of the difference to obtain the migration abnormal deviation area, measure the area enclosed by the first reference line and the X-axis, and mark it as the migration normal area, perform ratio processing on the migration abnormal deviation area and the migration normal area, and obtain the migration abnormal impact value;

[0084] In some embodiments, the migration anomaly impact value is compared to a migration anomaly impact threshold;

[0085] If the migration anomaly impact value is less than or equal to the migration anomaly impact threshold, it means that the dialysis anomaly in dialysis desalination is caused by the abnormal ion migration rate;

[0086] If the migration anomaly impact value is greater than the migration anomaly impact threshold, it means that the dialysis anomaly in dialysis desalination is not caused by the abnormal ion migration rate;

[0087] Step 2: Based on the fact that the dialysis anomaly in dialysis desalination is caused by the abnormal ion migration rate, the power-on data of the ion dialyzer is obtained, wherein the power-on data includes the power supply amount, and based on the combined analysis of the power-on data and the migration data, an impact assessment value is obtained, and whether there is an impact relationship between the change in the power supply amount and the change in the ion migration rate is determined according to the impact assessment value, and a signal is generated, wherein the signal includes an impact signal and a non-impact signal;

[0088] In some embodiments, the amount of electricity passed through the ion dialyzer is detected by an electricity meter;

[0089] In some embodiments, all the power-on amounts within the dialysis desalination time are obtained, and are marked in an XY two-dimensional coordinate system, respectively, and the marked power-on amount data points are connected to obtain a power-on change curve, wherein the X-axis represents time and the Y-axis represents power-on amount;

[0090] Several analysis nodes are selected within the dialysis desalination time, where the interval between every two adjacent analysis nodes is the same. The migration tangent slope and the power-on tangent slope corresponding to the analysis node are obtained and analyzed respectively, and the analysis node is marked according to the analysis results. The specific analysis process is as follows:

[0091] If the migration tangent slope and the power-on tangent slope corresponding to the analysis node are of the same positive and negative value, the analysis node is marked as a synchronous analysis node;

[0092] If the migration tangent slope and the power-on tangent slope corresponding to the analysis node are opposite in sign, the analysis node is marked as an asynchronous analysis node;

[0093] It should be noted that the meaning of the same positive and negative is that the slope of the migration tangent and the slope of the power-on tangent are both positive or both negative or both 0;

[0094] The migration tangent slope and the power-on tangent slope corresponding to the analysis node are obtained as follows:

[0095] Mark the analysis node on the X-axis in the coordinate system where the migration rate change curve is located, draw a straight line parallel to the Y-axis through the analysis node, obtain the intersection of the straight line and the migration rate change curve, obtain the tangent slope of the migration rate change curve at the intersection, and obtain the migration tangent slope corresponding to the analysis node; mark the analysis node on the X-axis in the coordinate system where the power-on change curve is located, draw a straight line parallel to the Y-axis through the analysis node, obtain the intersection of the straight line and the power-on change curve, obtain the oblique slope of the power-on change curve at the intersection, and obtain the power-on tangent slope corresponding to the analysis node;

[0096] The number of synchronous analysis nodes in the statistical analysis nodes is processed by ratio processing between the number of synchronous analysis nodes and the number of analysis nodes to obtain the number ratio of synchronous analysis nodes, and the ratio is marked as TB.

[0097] Mark the part of the migration rate change curve corresponding to the intersection of every two adjacent analysis nodes and the migration rate change curve as a migration rate change sub-curve. Similarly, mark the part of the power-on change curve corresponding to the intersection of every two adjacent analysis nodes and the power-on change curve as a power-on change sub-curve.

[0098] Integrate the migration rate change sub-curve and the power-on change sub-curve into a sub-curve group;

[0099] The constraints of the integration are: the two adjacent analysis nodes corresponding to the migration rate change sub-curve are the same as the two adjacent analysis nodes corresponding to the power-on change sub-curve;

[0100] Get the change ratios corresponding to all sub-curve groups, sum them up and take the average, get the change ratio mean, perform difference processing on the change ratio corresponding to the sub-curve group and the change ratio mean, get the change ratio deviation value, and mark the sub-curve group according to the change ratio deviation value:

[0101] Compare the change ratio deviation value with the change ratio deviation threshold. If the change ratio deviation value is greater than the change ratio deviation threshold, mark its sub-curve group as an abnormal sub-curve group. If the change ratio deviation value is less than or equal to the change ratio deviation threshold, mark its sub-curve group as a normal sub-curve group.

[0102] It should be noted that the change ratio deviation threshold is set by those skilled in the art based on historical experimental data;

[0103] Count the number of normal sub-curve groups and perform ratio processing on it with the number of sub-curve groups to obtain the number ratio of normal sub-curve groups and mark it as ZC;

[0104] Exemplarily, the change ratio corresponding to the sub-curve group is obtained as follows:

[0105] Obtain the coordinates of the two end points of the migration rate change sub-curve in the sub-curve group, perform difference processing on the ordinate values ​​of the two end points, and take the absolute value of the difference to obtain the ordinate change value corresponding to the migration rate change sub-curve;

[0106] Obtain the coordinates of the two end points of the power-on change sub-curve in the sub-curve group, perform difference processing on the ordinate values ​​of the two end points, and take the absolute value of the difference to obtain the ordinate change value corresponding to the power-on change sub-curve;

[0107] The ordinate change value corresponding to the migration rate change sub-curve is processed with the ordinate change value corresponding to the power-on change sub-curve to obtain the change ratio corresponding to the sub-curve group;

[0108] It should be noted that, in the process of marking the sub-curve group, there will be a specific case where the change ratio is 0. Based on this specific case, if the change ratio is 0, the sub-curve group with a change ratio of 0 does not participate in the marking process of the sub-curve group, and is analyzed and marked separately. Specifically, if the ordinate change value corresponding to the power-on change sub-curve and the ordinate change value corresponding to the migration rate change sub-curve are both 0, then the sub-curve group is marked as a normal sub-curve group. If the ordinate change value corresponding to the power-on change sub-curve and the ordinate change value corresponding to the migration rate change sub-curve are not both 0, then the sub-curve group is marked as an abnormal sub-curve group.

[0109] The obtained ratio of the number of synchronous analysis nodes TB and the ratio of the number of normal sub-curve groups ZC are processed by the formula: Obtain an impact assessment value YS, where s1 and s2 are both preset proportional coefficients;

[0110] In some embodiments, the impact assessment value is compared to an impact assessment threshold;

[0111] If the impact assessment value is greater than the impact assessment threshold, it means that there is an impact relationship between the change in the amount of electricity passed and the change in the ion migration rate, and an impact signal is generated;

[0112] If the impact assessment value is less than or equal to the impact assessment threshold, it means that there is no impact relationship between the change in the amount of electricity passed and the change in the ion migration rate, and a non-impact signal is generated;

[0113] The technical solution of the embodiment of the present invention is as follows: the time for obtaining fresh water by dialysis desalination is obtained, and a comparative analysis is performed to obtain a dialysis signal; based on the dialysis abnormality signal, the migration data of ions in the dialysis desalination process is obtained; based on the analysis of the migration data, a migration abnormality impact value is obtained; based on the migration abnormality impact value, it is determined whether the dialysis abnormality in dialysis desalination is caused by an abnormal ion migration rate; based on the fact that the dialysis abnormality in dialysis desalination is caused by an abnormal ion migration rate, the power-on data of the ion dialyzer is obtained; based on a combined analysis of the power-on data and the migration data, an impact evaluation value is obtained; based on the impact evaluation value, it is determined whether there is an impact relationship between the change in the power-on amount and the change in the ion migration rate, and a signal is generated. , wherein the signal includes an influencing signal and a non-influencing signal. When the time for obtaining fresh water by dialysis desalination exceeds a preset time, the present invention generates a dialysis abnormality signal, and analyzes whether the time used for ion dialysis desalination is caused by abnormal ion migration rate based on the dialysis abnormality signal. If so, analyze whether there is an influence relationship between the change in the amount of power supplied and the change in the ion migration rate. The present invention analyzes whether the ion dialysis desalination is abnormal during the destocking process and the cause of the abnormality, which is conducive to timely discovering abnormal problems during the destocking process. At the same time, it analyzes whether there is an influence relationship between the change in the ion migration rate and the change in the amount of power supplied, and deeply analyzes the cause of the abnormal ion dialysis desalination, which is convenient for the subsequent rapid determination of the direction that needs to be optimized and adjusted during the destocking process.

[0114] Example 3

[0115] Based on Example 2, a smart denitration control method according to an embodiment of the present invention includes:

[0116] Step 3: Based on the generated influence signal, a power-on control coefficient is obtained, wherein the power-on control coefficient includes a power-on amount control value, and the power-on amount of the ion dialyzer is controlled based on the power-on control coefficient;

[0117] Specifically, the method for obtaining the power supply control value is as follows:

[0118] All normal sub-curve groups are obtained. If the analysis nodes corresponding to the endpoints of the migration rate change sub-curve and the endpoints of the power-on change sub-curve in the normal sub-curve group on the X-axis are all synchronous analysis nodes, then the normal sub-curve group is marked as a synchronous normal sub-curve group. If the analysis nodes corresponding to the endpoints of the migration rate change sub-curve and the endpoints of the power-on change sub-curve in the normal sub-curve group on the X-axis are not all synchronous analysis nodes or are not synchronous analysis nodes, then the normal sub-curve group is marked as an asynchronous normal sub-curve group.

[0119] Obtain the change ratios of all synchronized normal sub-curve groups, and sum and average their change ratios to obtain the target change ratio;

[0120] The migration rate value is subjected to difference processing with the migration rate standard value to obtain the migration rate deviation value, and the migration rate deviation value is subjected to ratio processing with the target change ratio to obtain the power supply control value;

[0121] The technical solution of the embodiment of the present invention is: based on the generated influence signal, a power-on control coefficient is obtained, wherein the power-on control coefficient includes a power-on amount control value, and the power-on amount of the ion dialyzer is regulated based on the power-on control coefficient. The present invention obtains the power-on amount control value based on the influence change relationship between the power-on amount change and the ion migration rate, thereby regulating the power-on amount of the ion dialyzer. The control value is targeted and accurate, which is beneficial to improving the out-of-stock efficiency and quality.

[0122] Example 4

[0123] like Figure 3 As shown, a smart denitration control system according to an embodiment of the present invention includes:

[0124] Dialysis analysis module: obtain the time of obtaining fresh water by dialysis desalination, and perform comparative analysis to obtain the dialysis signal, wherein the dialysis signal includes an abnormal dialysis signal and a normal dialysis signal. Based on the abnormal dialysis signal, obtain the migration data of ions in the dialysis desalination process, wherein the migration data includes a migration rate value. Based on the analysis of the migration data, obtain the migration abnormality impact value, and judge whether the dialysis abnormality in the dialysis desalination is caused by the abnormal ion migration rate according to the migration abnormality impact value;

[0125] Impact analysis module: based on the fact that dialysis anomaly in dialysis desalination is caused by abnormal ion migration rate, the power-on data of the ion dialyzer is obtained, wherein the power-on data includes the power supply amount, and the impact assessment value is obtained based on the combined analysis of the power-on data and the migration data. According to the impact assessment value, it is determined whether there is an impact relationship between the change in the power supply amount and the change in the ion migration rate, and a signal is generated, wherein the signal includes an impact signal and a non-impact signal;

[0126] Dialysis control module: based on the generated influence signal, obtain the power-on control coefficient, wherein the power-on control coefficient includes the power-on amount control value, and control the power-on amount of the ion dialyzer based on the power-on control coefficient.

[0127] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A smart denitrification control method, characterized in that: include: S1: Wastewater pretreatment: remove impurities such as suspended matter, colloids, organic matter, etc. in wastewater; S2: Electrodialysis treatment: The pretreated wastewater is subjected to electrodialysis treatment to obtain fresh water; Compare and analyze the time taken to obtain fresh water by dialysis desalination to obtain dialysis abnormality signals, obtain and analyze the migration data of ions during dialysis desalination, obtain the migration abnormality impact value and determine whether the dialysis abnormality in dialysis desalination is caused by abnormal ion migration rate; Based on the fact that the dialysis anomaly in dialysis desalination is caused by the abnormal ion migration rate, the power-on data of the ion dialyzer is obtained, and the impact assessment value is obtained based on the combined analysis of the power-on data and the migration data. According to the impact assessment value, it is determined whether there is an impact relationship between the change in the power-on amount and the change in the ion migration rate, and a signal is generated, wherein the signal includes an impact signal and a non-impact signal; Based on the influencing signal, a power-on control coefficient is obtained, wherein the power-on control coefficient includes a power-on amount control value, and the power-on amount of the ion dialyzer is controlled based on the power-on control coefficient; S3: Use chemical precipitation and biological treatment technology to further treat or recycle the wastewater with high concentration of nitrates; S4: Discharge treated fresh water to the environment or reuse it in other processes.

2. The intelligent denitration control method according to claim 1, characterized in that: The time for obtaining fresh water by dialysis desalination is marked as the dialysis desalination time, and the dialysis desalination time is compared with the preset standard desalination time. If the dialysis desalination time is longer than the preset standard desalination time, a dialysis abnormality signal is generated; Migration data include migration rate values; All migration rate values ​​within the dialysis desalination time are marked in the XY two-dimensional coordinate system, and the marked migration rate value data points are connected to obtain a migration rate change curve, the migration rate standard value is marked on the Y axis as the first reference value, and a straight line parallel to the X axis is drawn through the first reference value mark point, and it is marked as the first reference line, and the desalination preset standard time is marked on the X axis as the second reference value, and a straight line parallel to the Y axis is drawn through the second reference value mark point, and it is marked as the second reference line; Based on processing and analyzing the migration rate change curve, the first baseline and the second baseline, a migration anomaly impact value is obtained.

3. The intelligent denitration control method according to claim 2, characterized in that: The migration rate change curve, the first baseline and the second baseline are processed and analyzed as follows: Mark the portion of the migration rate change curve that is lower than the first baseline as an abnormal curve, measure the area enclosed by the abnormal curve and the first baseline, and mark it as a migration abnormal area, obtain the intersection between the first baseline and the second baseline, mark the portion of the baseline corresponding to the intersection and the end point of the first baseline as a first sub-baseline, obtain the area enclosed by the first sub-baseline and the X-axis, and mark it as a migration reference area; The migration abnormality area and the migration reference area are difference processed, and the absolute value of the difference is taken to obtain the migration abnormality deviation area, the area enclosed by the first baseline and the X-axis is measured and marked as the migration normal area, and the migration abnormality deviation area is ratio processed with the migration normal area to obtain the migration abnormality impact value.

4. The intelligent denitrification control method according to claim 3, characterized in that: comparing the migration anomaly impact value to a migration anomaly impact threshold; If the migration anomaly impact value is less than or equal to the migration anomaly impact threshold, it means that the dialysis anomaly in dialysis desalination is caused by the abnormal ion migration rate; If the migration anomaly impact value is greater than the migration anomaly impact threshold, it means that the dialysis anomaly in dialysis desalination is not caused by the abnormal ion migration rate.

5. The intelligent denitrification control method according to claim 1, characterized in that: The power-on data includes the power-on amount. All the power-on amounts within the dialysis desalination time are obtained and marked in the XY two-dimensional coordinate system respectively. The marked power-on amount data points are connected to obtain the power-on change curve. Based on the analysis of the power-on change curve and the migration rate change curve, the number ratio of the synchronous analysis nodes and the number ratio of the normal sub-curve groups are obtained; The number of nodes analyzed simultaneously is marked as TB; The number ratio of the normal sub-curve group is marked as ZC; By formula: Obtain an impact assessment value YS, where s1 and s2 are both preset proportional coefficients; comparing the impact assessment value to an impact assessment threshold; If the impact assessment value is greater than the impact assessment threshold, it means that there is an impact relationship between the change in the amount of electricity passed and the change in the ion migration rate, and an impact signal is generated; If the impact assessment value is less than or equal to the impact assessment threshold, it means that there is no impact relationship between the change in the amount of current flow and the change in the ion migration rate, and a non-impact signal is generated.

6. The intelligent denitration control method according to claim 5, characterized in that: The method for obtaining the number ratio of synchronous analysis nodes is as follows: Several analysis nodes are selected within the dialysis desalination time, where the interval between every two adjacent analysis nodes is the same. The migration tangent slope and the power-on tangent slope corresponding to the analysis node are obtained and analyzed respectively, and the analysis node is marked according to the analysis results. The specific analysis process is as follows: If the migration tangent slope and the power-on tangent slope corresponding to the analysis node are of the same positive and negative value, the analysis node is marked as a synchronous analysis node; If the migration tangent slope and the power-on tangent slope corresponding to the analysis node are opposite in sign, the analysis node is marked as an asynchronous analysis node; The migration tangent slope and the power-on tangent slope corresponding to the analysis node are obtained as follows: Mark the analysis node on the X-axis in the coordinate system where the migration rate change curve is located, draw a straight line parallel to the Y-axis through the analysis node, obtain the intersection of the straight line and the migration rate change curve, obtain the tangent slope of the migration rate change curve at the intersection, and obtain the migration tangent slope corresponding to the analysis node; mark the analysis node on the X-axis in the coordinate system where the power-on change curve is located, draw a straight line parallel to the Y-axis through the analysis node, obtain the intersection of the straight line and the power-on change curve, obtain the oblique slope of the power-on change curve at the intersection, and obtain the power-on tangent slope corresponding to the analysis node; The number of synchronous analysis nodes in the statistical analysis nodes is calculated, and the number of synchronous analysis nodes is ratioed to the number of analysis nodes to obtain a ratio of the number of synchronous analysis nodes.

7. The intelligent denitrification control method according to claim 5, characterized in that: The number ratio of normal sub-curve groups is obtained as follows: Obtain the coordinates of the two end points of the migration rate change sub-curve in the sub-curve group, perform difference processing on the ordinate values ​​of the two end points, and take the absolute value of the difference to obtain the ordinate change value corresponding to the migration rate change sub-curve; Obtain the coordinates of the two end points of the power-on change sub-curve in the sub-curve group, perform difference processing on the ordinate values ​​of the two end points, and take the absolute value of the difference to obtain the ordinate change value corresponding to the power-on change sub-curve; The ordinate change value corresponding to the migration rate change sub-curve is ratio-processed with the ordinate change value corresponding to the power-on change sub-curve to obtain the change ratio corresponding to the sub-curve group.

8. The intelligent denitration control method according to claim 7, characterized in that: The sub-curve group is obtained as follows: Mark the part of the migration rate change curve corresponding to the intersection of every two adjacent analysis nodes and the migration rate change curve as a migration rate change sub-curve. Similarly, mark the part of the power-on change curve corresponding to the intersection of every two adjacent analysis nodes and the power-on change curve as a power-on change sub-curve. Integrate the migration rate change sub-curve and the power-on change sub-curve into a sub-curve group; The constraint condition of the integration is that the two adjacent analysis nodes corresponding to the migration rate change sub-curve are the same as the two adjacent analysis nodes corresponding to the power-on change sub-curve.

9. The intelligent denitrification control method according to claim 1, characterized in that: The method for obtaining the power supply control value is as follows: All normal sub-curve groups are obtained, and the endpoints of the migration rate change sub-curve and the endpoints of the power-on change sub-curve in the normal sub-curve group are analyzed. According to the analysis results, the normal sub-curve group is marked as a synchronous normal sub-curve group and an asynchronous normal sub-curve group; Obtain the change ratios of all synchronized normal sub-curve groups, and sum and average their change ratios to obtain the target change ratio; The migration rate value is subjected to difference processing with the migration rate standard value to obtain the migration rate deviation value, and the migration rate deviation value is subjected to ratio processing with the target change ratio to obtain the power supply control value; The process of labeling normal sub-curve groups is: If the analysis nodes corresponding to the end points of the migration rate change sub-curve and the end points of the power-on change sub-curve in the normal sub-curve group on the X-axis are all synchronous analysis nodes, then the normal sub-curve group is marked as a synchronous normal sub-curve group; if the analysis nodes corresponding to the end points of the migration rate change sub-curve and the end points of the power-on change sub-curve in the normal sub-curve group on the X-axis are not all synchronous analysis nodes or are not synchronous analysis nodes, then the normal sub-curve group is marked as an asynchronous normal sub-curve group.

10. An intelligent denitration control system, which is used to implement the control method according to any one of claims 1 to 9, characterized in that: include: Dialysis analysis module: obtain the time of obtaining fresh water by dialysis desalination, and perform comparative analysis to obtain the dialysis signal, wherein the dialysis signal includes an abnormal dialysis signal and a normal dialysis signal. Based on the abnormal dialysis signal, obtain the migration data of ions in the dialysis desalination process, wherein the migration data includes a migration rate value. Based on the analysis of the migration data, obtain the migration abnormality impact value, and judge whether the dialysis abnormality in the dialysis desalination is caused by the abnormal ion migration rate according to the migration abnormality impact value; Impact analysis module: based on the fact that dialysis anomaly in dialysis desalination is caused by abnormal ion migration rate, the power-on data of the ion dialyzer is obtained, wherein the power-on data includes the power supply amount, and the impact assessment value is obtained based on the combined analysis of the power-on data and the migration data. According to the impact assessment value, it is determined whether there is an impact relationship between the change in the power supply amount and the change in the ion migration rate, and a signal is generated, wherein the signal includes an impact signal and a non-impact signal; Dialysis control module: based on the generated influence signal, obtain the power-on control coefficient, wherein the power-on control coefficient includes the power-on amount control value, and control the power-on amount of the ion dialyzer based on the power-on control coefficient.

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