A Smart Denitration Control Method and System

Abstract

The present invention belongs to the technical field of denitrification. The present invention provides a smart denitrification control method and system, including: comparing and analyzing the duration of obtaining fresh water by desalination using the dialysis method to obtain a dialysis abnormal signal, acquiring and analyzing the ion migration data during the desalination process by the dialysis method, and determining whether the dialysis abnormality in the desalination by the dialysis method is caused by an abnormal ion migration rate; acquiring the power-on data of the ion dialyzer, and based on the combined analysis of the power-on data and the migration data, obtaining an influence evaluation value, and determining whether there is an influence relationship between the change in the power-on amount and the change in the ion migration rate according to the influence evaluation value, and obtaining a power-on regulation coefficient, wherein the power-on regulation coefficient includes a power-on amount regulation value, and regulating the power-on amount of the ion dialyzer based on the power-on regulation coefficient. The present invention is beneficial to improving the denitrification efficiency and quality.

Description

[0001] Priority Statement

[0002] This application claims the priority of a Chinese patent application filed with the China National Intellectual Property Administration on August 7, 2024, with the application number CN 202411076516.4 and the invention title "A Smart Denitration Control Method and System", the entire content of which is incorporated herein by reference. Technical Field

[0003] The present invention belongs to the technical field of denitration, and specifically relates to a smart denitration control method and system. Background Art

[0004] With the acceleration of the global industrialization process 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 application of denitration technologies have become an important topic worldwide.

[0005] A Chinese patent application with the publication number CN108147613A discloses a method for treating wastewater from catalytic cracking flue gas desulfurization and denitration, including: (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 solids in the wastewater; (4) concentration treatment: adopting concentration treatment to increase the salt content; (5) bipolar membrane electrodialysis treatment: adopting two-stage bipolar membrane electrodialysis for desalination.

[0006] In the above prior art, during the desulfurization and denitration process, the analysis of the electrodialysis desalination process is lacking, that is, the abnormal analysis of the duration of electrodialysis desalination and the analysis of the reasons for its abnormal influence are lacking, and the denitration efficiency and quality cannot be guaranteed.

[0007] Therefore, the present invention provides a smart denitration control method and system. Summary of the Invention

[0008] In order to make up for the deficiencies of the prior art and solve at least one of the technical problems proposed in the background art.

[0009] The technical solution adopted by the present invention to solve its technical problems is: a smart denitration control method, including:

[0010] S1: Wastewater pretreatment: removing impurities such as suspended solids, colloids, and organic matters in the wastewater;

[0011] S2: Electrodialysis treatment: subjecting the pretreated wastewater to electrodialysis treatment to obtain fresh water;

[0012] Compare and analyze the duration of obtaining fresh water by dialysis desalination to obtain a dialysis abnormal signal, obtain the ion migration data during the dialysis desalination process and analyze it, obtain the migration abnormal influence 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 abnormality in dialysis desalination is caused by abnormal ion migration rate, obtain the energization data of the ion dialyzer, and based on the combined analysis of the energization data and the migration data, obtain the influence evaluation value, and determine whether there is an influence relationship between the change in the energization amount and the change in the ion migration rate according to the influence evaluation value, and generate a signal, where the signal includes an influence signal and a non-influence signal;

[0014] Based on the influence signal, obtain the energization regulation coefficient, where the energization regulation coefficient includes the energization amount regulation value, and regulate the energization amount of the ion dialyzer based on the energization regulation coefficient;

[0015] S3: Further treat or recycle the wastewater with high-concentration nitrate by chemical precipitation and biological treatment technologies;

[0016] S4: Discharge the treated fresh water into the environment or reuse it in other process procedures.

[0017] As a further technical solution of the present invention: Mark the duration of obtaining fresh water by dialysis desalination as the dialysis desalination duration, compare the dialysis desalination duration with the preset standard desalination duration, and if the dialysis desalination duration is greater than the preset standard desalination duration, generate a dialysis abnormal signal;

[0018] The migration data includes migration rate values;

[0019] Mark all the migration rate values within the dialysis desalination duration in the X-Y two-dimensional coordinate system respectively, and connect the marked migration rate value data points to obtain a migration rate change curve. Mark the migration rate standard value as the first reference value on the Y-axis, and draw a straight line parallel to the X-axis through the first reference value marking point, and mark it as the first reference line. Mark the preset standard desalination duration as the second reference value on the X-axis, and draw a straight line parallel to the Y-axis through the second reference value marking point, and mark it as the second reference line;

[0020] Based on the processing and analysis of the migration rate change curve, the first reference line, and the second reference line, obtain the migration abnormal influence value.

[0021] As a further technical solution of the present invention: The process of processing and analyzing the migration rate change curve, the first reference line, and the second reference line is as follows:

[0022] In the migration rate change curve, mark the part of the curve below the first reference line as an abnormal curve, measure the area enclosed between the abnormal curve and the first reference line, and mark it as the migration abnormal area. Obtain the intersection point between the first reference line and the second reference line, and mark the part of the reference line corresponding to the intersection point and the end point of the first reference line as the first sub-reference line. Obtain the area enclosed between the first sub-reference line and the X-axis, and mark it as the migration reference area;

[0023] Perform a difference operation 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 between the first reference line and the X-axis, and mark it as the migration normal area. Perform a ratio operation on the migration abnormal deviation area and the migration normal area to obtain the migration abnormal influence value.

[0024] As a further technical solution of the present invention: compare the migration abnormal influence value with the migration abnormal influence threshold;

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

[0026] If the migration abnormal influence value is greater than the migration abnormal influence threshold, it indicates that the dialysis abnormality 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. Obtain all the power-on amounts during the dialysis desalination duration, mark them in the X-Y two-dimensional coordinate system respectively, and connect the marked power-on data points to obtain the power-on change curve;

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

[0029] Mark the quantity ratio of synchronous analysis nodes as TB;

[0030] Mark the quantity ratio of normal sub-curve groups as ZC;

[0031] Through the formula: Obtain the influence evaluation value YS, where s1 and s2 are both preset proportionality coefficients;

[0032] Compare the influence evaluation value with the influence evaluation threshold;

[0033] If the influence evaluation value is greater than the influence evaluation threshold, it indicates that there is an influence relationship between the change of the power-on amount and the change of the ion migration rate, and an influence signal is generated;

[0034] If the influence evaluation value is less than or equal to the influence evaluation threshold, it indicates that there is no influence relationship between the change in the amount of electricity passed and the change in the ion migration rate, and a non-influence signal is generated.

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

[0036] Select several analysis nodes within the dialysis desalination duration, where the interval duration between every two adjacent analysis nodes is the same. Respectively obtain the migration tangent slope and the power-on tangent slope corresponding to the analysis nodes and conduct analysis, and mark the analysis nodes according to the analysis results. The specific analysis process is as follows:

[0037] If the signs of the migration tangent slope and the power-on tangent slope corresponding to the analysis node are the same, mark the analysis node as a synchronous analysis node;

[0038] If the signs of the migration tangent slope and the power-on tangent slope corresponding to the analysis node are opposite, mark the analysis node as a non-synchronous analysis node;

[0039] Among them, the method for obtaining the migration tangent slope and the power-on tangent slope corresponding to the analysis node is 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 to obtain the intersection point of the drawn straight line and the migration rate change curve, and obtain the tangent slope of the migration rate change curve at the intersection point to 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 to obtain the intersection point of the drawn straight line and the power-on change curve, and obtain the slope of the power-on change curve at the intersection point to obtain the power-on tangent slope corresponding to the analysis node;

[0041] Count the number of synchronous analysis nodes among the analysis nodes, and perform a ratio process on the number of synchronous analysis nodes and the number of analysis nodes to obtain the quantity ratio of synchronous analysis nodes.

[0042] As a further technical solution of the present invention: the method for obtaining the quantity ratio of normal sub-curve groups 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 a difference process 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 a difference process 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] A further technical solution of the present invention is that the acquisition method of the sub-curve group is as follows:

[0047] The corresponding partial migration rate change curve between the intersection points of every two adjacent analysis nodes and the migration rate change curve is marked as the migration rate change sub-curve. Similarly, the corresponding partial power-on change curve between the intersection points of every two adjacent analysis nodes and the power-on change curve is marked as the power-on change sub-curve;

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

[0049] Among them, the integration constraint condition 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] A further technical solution of the present invention is that the acquisition method of the power-on amount regulation value is as follows:

[0051] All normal sub-curve groups are obtained, and the two end points of the migration rate change sub-curve and the two end points 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 and marked as a synchronous normal sub-curve group and a non-synchronous normal sub-curve group;

[0052] The change ratios of all synchronous normal sub-curve groups are obtained, and the sum of the change ratios is averaged to obtain the target change ratio;

[0053] The migration rate value is difference-processed with the migration rate standard value to obtain the migration rate deviation value, and the migration rate deviation value is ratio-processed with the target change ratio to obtain the power-on amount regulation value;

[0054] The process of marking the normal sub-curve group is as follows:

[0055] If the analysis nodes corresponding to the two end points of the migration rate change sub-curve and the two 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 two end points of the migration rate change sub-curve and the two 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 at all, then the normal sub-curve group is marked as a non-synchronous normal sub-curve group.

[0056] An intelligent denitration control system includes:

[0057] Dialysis analysis module: Obtain the duration of obtaining fresh water by desalination using dialysis method, conduct comparative analysis, and obtain dialysis signals. Among them, the dialysis signals include dialysis abnormal signals and dialysis normal signals. Based on the dialysis abnormal signals, obtain the migration data of ions during the desalination process using dialysis method. Among them, the migration data includes migration rate values. Based on the analysis of the migration data, obtain the migration abnormal influence value. According to the migration abnormal influence value, judge whether the dialysis abnormality in the desalination using dialysis method is caused by abnormal ion migration rate;

[0058] Influence analysis module: Based on the fact that the dialysis abnormality in the desalination using dialysis method is caused by abnormal ion migration rate, obtain the power-on data of the ion dialyzer. Among them, the power-on data includes the power-on amount. Based on the combined analysis of the power-on data and the migration data, obtain the influence evaluation value. According to the influence evaluation value, determine whether there is an influence relationship between the change in the power-on amount and the change in the ion migration rate, and generate signals. Among them, the signals include influence signals and non-influence signals;

[0059] Dialysis regulation module: Based on the generated influence signal, obtain the power-on regulation coefficient. Among them, the power-on regulation coefficient includes the power-on amount regulation value. Regulate the power-on amount of the ion dialyzer based on the power-on regulation coefficient.

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

[0061] 1. The present invention obtains the duration of obtaining fresh water by desalination using dialysis method, conducts comparative analysis, and obtains dialysis signals. Based on the dialysis abnormal signals, obtains the migration data of ions during the desalination process using dialysis method. Based on the analysis of the migration data, obtains the migration abnormal influence value. According to the migration abnormal influence value, judges whether the dialysis abnormality in the desalination using dialysis method is caused by abnormal ion migration rate. Based on the fact that the dialysis abnormality in the desalination using dialysis method is caused by abnormal ion migration rate, obtains the power-on data of the ion dialyzer. Based on the combined analysis of the power-on data and the migration data, obtains the influence evaluation value. According to the influence evaluation value, determines whether there is an influence relationship between the change in the power-on amount and the change in the ion migration rate, and generates signals. Among them, the signals include influence signals and non-influence signals. When the duration of obtaining fresh water by desalination using dialysis method exceeds the preset duration, the present invention generates dialysis abnormal signals. Based on the dialysis abnormal signals, analyzes whether the duration of ion dialysis desalination is caused by abnormal ion migration rate. If so, analyzes whether there is an influence relationship between the change in the power-on amount and the change in the ion migration rate. The present invention analyzes whether the ion dialysis desalination is abnormal and the cause of the abnormality during the denitrification process, which is beneficial to timely discovering abnormal problems during the denitrification process. At the same time, analyzes whether there is an influence relationship between the change in the ion migration rate and the change in the power-on amount, and deeply analyzes the cause of the ion dialysis desalination abnormality, which is convenient for quickly determining the direction of optimization and adjustment required during the denitrification process in the future.

[0062] 2. Based on the generated influence signal, the present invention obtains a power-on regulation coefficient, where the power-on regulation coefficient includes a power-on quantity regulation value. Based on the power-on regulation coefficient, the power-on quantity of the ion dialysis device is regulated. The present invention obtains the power-on quantity regulation value based on the influence change relationship between the change of the power-on quantity and the ion migration rate, thereby regulating the power-on quantity of the ion dialysis device. The regulation value is targeted and accurate, which is beneficial to improving the denitrification efficiency and quality. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0064] Figure 1 is a flowchart of the steps of a smart denitrification control method according to Embodiment 2 of the present invention;

[0065] Figure 2 is a flowchart of the steps of an alternative smart denitrification control method according to Embodiment 3 of the present invention;

[0066] Figure 3 is a program block diagram of a smart denitrification control system according to Embodiment 4 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0067] In order to make the technical means, creative features, achieved purposes and effects of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0068] Embodiment 1

[0069] A smart denitrification control method according to an embodiment of the present invention includes:

[0070] S1: Pretreatment of wastewater: Remove impurities such as suspended solids, colloids, and organic matter in the wastewater to reduce the pollution of the electrodialysis membrane, improve the treatment efficiency and the service life of the membrane;

[0071] S2: Electrodialysis treatment: Perform electrodialysis treatment on the pretreated wastewater, and use the selective permeability of the electrodialysis membrane to separate nitrate ions in the wastewater from other ions to achieve nitrate removal;

[0072] S3: Treatment of concentrated water: Further treat or recycle the wastewater with high-concentration nitrate accumulation by chemical precipitation and biological treatment technologies;

[0073] S4: Discharge the treated fresh water into the environment or reuse it in other process procedures.

[0074] Embodiment 2

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

[0076] Step 1: Obtain the duration of obtaining fresh water by dialysis desalination, and conduct comparative analysis to obtain dialysis signals. Among them, the dialysis signals include dialysis abnormal signals and dialysis normal signals. Based on the dialysis abnormal signals, obtain the ion migration data during the dialysis desalination process. Among them, the migration data includes migration rate values. Based on the analysis of the migration data, obtain the migration abnormal influence value, and judge whether the dialysis abnormality in dialysis desalination is caused by abnormal ion migration rate according to the migration abnormal influence value;

[0077] In some embodiments, mark the duration of obtaining fresh water by dialysis desalination as the dialysis desalination duration, compare the dialysis desalination duration with the preset standard desalination duration. If the dialysis desalination duration is greater than the preset standard desalination duration, generate a dialysis abnormal signal. If the dialysis desalination duration is less than or equal to the preset standard desalination duration, generate a dialysis normal signal;

[0078] In some embodiments, based on generating a dialysis abnormal signal, mark all the migration rate values within the dialysis desalination duration in the X-Y two-dimensional coordinate system respectively, and connect the marked migration rate value data points to obtain a migration rate change curve. Among them, the X-axis represents time, and the Y-axis represents the migration rate value. Mark the migration rate standard value as the first reference value on the Y-axis, and draw a straight line parallel to the X-axis through the first reference value marking point, and mark it as the first reference line. Mark the preset standard desalination duration as the second reference value on the X-axis, and draw a straight line parallel to the Y-axis through the second reference value marking point, and mark it as the second reference line;

[0079] It should be noted that the length of the first reference line 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 duration;

[0080] It should be noted that the acquisition method of the migration rate value is as follows: Set several migration rate detection points in the concentrated water chamber and the fresh water chamber inside the electrodialyzer, and detect the ions at the migration rate detection points through migration detection equipment to obtain the migration rate values at the migration rate detection points. Among them, the migration detection equipment includes but is not limited to migration rate testers, conductivity meters, etc. Sum and average all the migration rate values at the migration rate detection points to obtain the migration rate value of the ions. Among them, sum and average all the migration rate values of the ions within the preset standard desalination duration to obtain the migration rate standard value;

[0081] Based on the processing and analysis of the migration rate change curve, the first reference line, and the second reference line, obtain the migration abnormal influence value;

[0082] Specifically, in the migration rate change curve, the part of the curve below the first reference line is marked as an abnormal curve. The area enclosed by the abnormal curve and the first reference line is measured and marked as the migration abnormal area. The intersection point between the first reference line and the second reference line is obtained, and the part of the reference line corresponding to the intersection point and the end point of the first reference line is marked as the first sub-reference line. The area enclosed by the first sub-reference line and the X-axis is obtained and marked as the migration reference area;

[0083] The difference between the migration abnormal area and the migration reference area is processed, and the absolute value of the difference is taken to obtain the migration abnormal deviation area. The area enclosed by the first reference line and the X-axis is measured and marked as the migration normal area. The ratio of the migration abnormal deviation area to the migration normal area is processed to obtain the migration abnormal influence value;

[0084] In some embodiments, the migration abnormal influence value is compared with the migration abnormal influence threshold;

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

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

[0087] Step 2: Based on the fact that the dialysis abnormality in dialysis desalination is caused by the abnormal ion migration rate, the power-on data of the ion dialyzer is obtained. Among them, the power-on data includes the power consumption. Based on the combined analysis of the power-on data and the migration data, an influence evaluation value is obtained. According to the influence evaluation value, it is determined whether there is an influence relationship between the change of the power consumption and the change of the ion migration rate, and a signal is generated, where the signal includes an influence signal and a non-influence signal;

[0088] In some embodiments, the power consumption of the ion dialyzer is detected by an electricity meter;

[0089] In some embodiments, all the power consumptions during the dialysis desalination duration are obtained, and they are respectively marked in the X-Y two-dimensional coordinate system, and the marked power consumption data points are connected to obtain a power-on change curve, where the X-axis represents time and the Y-axis represents power consumption;

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

[0091] If the signs of the migration tangent slope and the energization tangent slope corresponding to the analysis node are the same, then mark the analysis node as a synchronous analysis node;

[0092] If the signs of the migration tangent slope and the energization tangent slope corresponding to the analysis node are opposite, then mark the analysis node as an asynchronous analysis node;

[0093] It should be noted that the same sign means that the migration tangent slope and the energization tangent slope are both positive, both negative, or both zero at the same time;

[0094] Among them, the method for obtaining the migration tangent slope and the energization tangent slope corresponding to the analysis node is as follows:

[0095] Mark the analysis node on the X-axis of the coordinate system where the migration rate change curve is located. Draw a straight line parallel to the Y-axis through the analysis node to obtain the intersection point of the drawn straight line and the migration rate change curve. Obtain the tangent slope of the migration rate change curve at the intersection point to get the migration tangent slope corresponding to the analysis node. Mark the analysis node on the X-axis of the coordinate system where the energization change curve is located. Draw a straight line parallel to the Y-axis through the analysis node to obtain the intersection point of the drawn straight line and the energization change curve. Obtain the slope of the energization change curve at the intersection point to get the energization tangent slope corresponding to the analysis node;

[0096] Count the number of synchronous analysis nodes among the analysis nodes. Process the ratio of the number of synchronous analysis nodes to the number of analysis nodes to obtain the ratio of the number of synchronous analysis nodes, and mark it as TB;

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

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

[0099] Among them, the integration constraint condition is that the two adjacent analysis nodes corresponding to the sub-migration rate change curve are the same as the two adjacent analysis nodes corresponding to the sub-energization change curve;

[0100] Obtain the change ratios corresponding to all sub-curve groups, sum them up and take the average to get the average change ratio. Process the difference between the change ratio corresponding to the sub-curve group and the average change ratio to get the change ratio deviation value. 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 according to historical experimental data;

[0103] Count the number of normal sub-curve groups, and perform a ratio process 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 method for obtaining the change ratio corresponding to the sub-curve group is as follows:

[0105] Obtain the coordinates of the two end points of the migration rate change sub-curve in the sub-curve group, perform a difference process on the ordinate values of its 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 a difference process on the ordinate values of its 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] Perform a ratio process on the ordinate change value corresponding to the migration rate change sub-curve and 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 situation where the change ratio is 0. Based on this specific situation, 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 values corresponding to both the power-on change sub-curve and the migration rate change sub-curve are 0, mark its sub-curve group as a normal sub-curve group. If the ordinate change values corresponding to the power-on change sub-curve and the migration rate change sub-curve are not both 0, mark its sub-curve group as an abnormal sub-curve group;

[0109] Perform data processing on the obtained number ratio TB of synchronous analysis nodes and the number ratio ZC of normal sub-curve groups through the formula: Obtain the influence evaluation value YS, where s1 and s2 are both preset proportionality coefficients;

[0110] In some embodiments, compare the influence evaluation value with the influence evaluation threshold;

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

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

[0113] The technical solution of the embodiment of the present invention is as follows: Obtain the duration of obtaining fresh water by dialysis desalination, and conduct comparative analysis to obtain a dialysis signal. Based on the dialysis abnormal signal, obtain the migration data of ions during the dialysis desalination process. Based on the analysis of the migration data, obtain a migration abnormal influence value. Determine whether the dialysis abnormality in dialysis desalination is caused by an abnormal ion migration rate based on the migration abnormal influence value. Based on the fact that the dialysis abnormality in dialysis desalination is caused by an abnormal ion migration rate, obtain the power-on data of the ion dialyzer. Based on the combined analysis of the power-on data and the migration data, obtain an influence evaluation value. Determine whether there is an influence relationship between the change in the amount of electricity passed and the change in the ion migration rate based on the influence evaluation value, and generate a signal, where the signal includes an influence signal and a non-influence signal. When the duration of obtaining fresh water by dialysis desalination exceeds the preset duration, the present invention generates a dialysis abnormal signal, analyzes whether the duration of ion dialysis desalination is caused by an abnormal ion migration rate based on the dialysis abnormal signal. If so, analyze whether there is an influence relationship between the change in the amount of electricity passed and the change in the ion migration rate. The present invention analyzes whether the ion dialysis desalination is abnormal and the cause of the abnormality during the denitrification process, which is beneficial to timely discovering abnormal problems during the denitrification process. At the same time, analyze whether there is an influence relationship between the change in the ion migration rate and the change in the amount of electricity passed, and deeply analyze the cause of the ion dialysis desalination abnormality, which is convenient for quickly determining the direction of optimization and adjustment required during the denitrification process in the future.

[0114] Embodiment 3

[0115] Based on the basis of Embodiment 2, a smart denitrification control method described in an embodiment of the present invention includes:

[0116] Step 3: Based on the generated influence signal, obtain a power-on regulation coefficient, where the power-on regulation coefficient includes a power-on amount regulation value, and regulate the power-on amount of the ion dialyzer based on the power-on regulation coefficient;

[0117] Specifically, the obtaining method of the power-on amount regulation value is as follows:

[0118] All normal sub-curve groups are obtained. If the analysis nodes corresponding to the two end points of the migration rate change sub-curve and the two end points of the power-on change sub-curve in the normal sub-curve group on the X-axis are all synchronous analysis nodes, the normal sub-curve group is marked as a synchronous normal sub-curve group. If the analysis nodes corresponding to the two end points of the migration rate change sub-curve and the two 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 at all, the normal sub-curve group is marked as a non-synchronous normal sub-curve group;

[0119] Obtain the change ratios of all synchronous normal sub-curve groups, sum up the change ratios and take the average value to obtain the target change ratio;

[0120] Perform a difference process on the migration rate value and the migration rate standard value to obtain the migration rate deviation value, and perform a ratio process on the migration rate deviation value and the target change ratio to obtain the power-on regulation value;

[0121] The technical solution of the embodiment of the present invention is: based on the generated influence signal, obtain the power-on regulation coefficient, where the power-on regulation coefficient includes the power-on regulation value, and regulate the power-on amount of the ion dialyzer based on the power-on regulation coefficient. The present invention obtains the power-on regulation 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. Its regulation value has pertinence and accuracy, which is beneficial to improving the denitrification efficiency and quality.

[0122] Embodiment 4

[0123] As Figure 3 shown, a smart denitrification control system described in the embodiment of the present invention includes:

[0124] Dialysis analysis module: Obtain the duration of desalination to obtain fresh water by dialysis method and perform comparative analysis to obtain a dialysis signal, where the dialysis signal includes a dialysis abnormal signal and a dialysis normal signal. Based on the dialysis abnormal signal, obtain the migration data of ions during the desalination process by dialysis method, where the migration data includes the migration rate value. Based on the analysis of the migration data, obtain the migration abnormal influence value, and determine whether the dialysis abnormality in the desalination process by dialysis method is caused by the abnormal ion migration rate according to the migration abnormal influence value;

[0125] Influence analysis module: Based on the fact that the dialysis abnormality in the desalination process by dialysis method is caused by the abnormal ion migration rate, obtain the power-on data of the ion dialyzer, where the power-on data includes the power-on amount. Based on the combined analysis of the power-on data and the migration data, obtain the influence evaluation value, and determine whether there is an influence relationship between the change of the power-on amount and the change of the ion migration rate according to the influence evaluation value, and generate a signal, where the signal includes an influence signal and a non-influence signal;

[0126] Dialysis regulation module: Based on the generated influence signal, an energization regulation coefficient is obtained, where the energization regulation coefficient includes an energization amount regulation value, and the energization amount of the ion dialyzer is regulated based on the energization regulation coefficient.

[0127] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A smart denitration 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 it takes to obtain fresh water using dialysis desalination to obtain dialysis anomaly signals. Obtain and analyze ion migration data during the dialysis desalination process to obtain the migration anomaly impact value and determine whether the dialysis anomaly in dialysis desalination is caused by abnormal ion migration rate. The migration data includes a migration rate value, and a migration rate change curve is constructed according to the migration rate value within the dialysis desalination time. The migration rate standard value is constructed as a first baseline, and the second baseline is constructed with the preset standard desalination time; The portion of the migration rate change curve below the first baseline is marked as an abnormal curve, the area enclosed by the abnormal curve and the first baseline is recorded as the migration abnormal area, the portion of the baseline corresponding to the intersection between the first baseline and the second baseline and the end point of the first baseline is marked as the first sub-baseline, and the area enclosed by the first sub-baseline and the X-axis is recorded as the migration reference area; Perform absolute difference processing on the migration abnormal area and the migration reference area to obtain the migration abnormal deviation area, record the area enclosed by the first baseline and the X-axis as the migration normal area, perform ratio processing on the migration abnormal deviation area and the migration normal area to obtain the migration abnormal impact value; Based on the fact that dialysis abnormality in dialysis desalination is caused by abnormal ion migration rate, the power-on data of the ion dialyzer is obtained. The power-on data includes the amount of power supplied. According to the amount of power supplied during the dialysis desalination time, a power-on change curve is constructed. Based on the analysis of the power 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, and the output is processed to obtain an impact assessment value. 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; Based on the 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; The method for obtaining the power supply control value is as follows: Obtain all normal sub-curve groups, analyze the endpoints of the migration rate change sub-curve and the endpoints of the power-on change sub-curve in the normal sub-curve groups, and mark the normal sub-curve groups according to the analysis results, marking them as synchronous normal sub-curve groups and asynchronous normal sub-curve groups; Obtain the change ratios of all synchronized normal sub-curve groups, 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.

2. The intelligent denitration control method according to claim 1, wherein: Also includes: S3: Use chemical precipitation and biological treatment technology to further treat or recycle the wastewater with high concentration of nitrates; S4: Discharge the treated fresh water to the environment or reuse it in other processes.

3. The intelligent denitrification control method according to claim 1, characterized in that: comparing the migration anomaly impact value with 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 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 abnormal ion migration rate.

4. A smart denitration 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.

5. A smart denitration control method according to claim 1, characterized in that: comparing the impact assessment value to the impact assessment threshold; If the impact assessment value is greater than the impact assessment threshold, it indicates that there is an impact relationship between the change in the amount of current flowing 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 denitrification control method according to claim 1, characterized in that: The method for obtaining the ratio of the number of synchronous analysis nodes is as follows: Several analysis nodes are selected within the dialysis desalination time, where the interval between each 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. The analysis nodes are 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 sign, 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 6, characterized in that: The number ratio of normal sub-curve groups is obtained as follows: Obtain the coordinates of the endpoints of the migration rate change sub-curve in the sub-curve group, perform a difference processing on the ordinate values of the endpoints, 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 change ratio corresponding to the sub-curve group is obtained by performing ratio processing on the change value of the ordinate corresponding to the migration rate change sub-curve and the change value of the ordinate corresponding to the power-on change sub-curve.

8. A smart denitration control method according to claim 7, characterized in that: The sub-curve group is obtained as follows: The portion of the migration rate change curve corresponding to the intersection of each two adjacent analysis nodes and the migration rate change curve is marked as a migration rate change sub-curve. Similarly, the portion of the power change curve corresponding to the intersection of each two adjacent analysis nodes and the power change curve is marked as a power 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 for 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 process of labeling the normal sub-curve group is: 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.

10. A smart denitration control system, which is used to implement the control method described in any one of claims 1-9, characterized in that: include: Dialysis analysis module: obtains the time taken to obtain fresh water by dialysis desalination, performs comparative analysis, and obtains a dialysis signal, wherein the dialysis signal includes an abnormal dialysis signal and a normal dialysis signal. Based on the abnormal dialysis signal, ion migration data during the dialysis desalination process is obtained, wherein the migration data includes a migration rate value. 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 the dialysis desalination process is caused by an abnormal ion migration rate. Impact analysis module: Based on the fact that dialysis anomalies in dialysis desalination are caused by abnormal ion migration rates, the module obtains power-on data of the ion dialyzer, where the power-on data includes the amount of power supplied. Based on a combined analysis of the power-on data and migration data, an impact assessment value is obtained. Based on the impact assessment value, it is determined whether there is an impact relationship between changes in the amount of power supplied and changes in the ion migration rate, and a signal is generated, where the signal includes an impact signal and a non-impact signal. Dialysis control module: Based on the generated influence signal, the 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.

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