A method for treating desulfurization wastewater

Abstract

The present application discloses a desulfurization wastewater treatment method, which relates to the technical field of desulfurization process in power plants. A wastewater treatment equipment system is constructed, wherein the wastewater treatment equipment system includes a plurality of wastewater treatment equipment. Through systematic treatment of wastewater, different impurities are separated from the wastewater, and the filtrate is returned to the desulfurization system. Based on the real-time flue gas generation curve, the operating status of different treatment equipment is adjusted, and based on the changes in the equipment action factors, the wastewater treatment capacity of the wastewater treatment equipment system is maintained. On this basis, the equipment power adjustment model is used to adjust the power of different wastewater treatment equipment, and the adjustment methods of different wastewater treatment equipment are combined to generate an equipment power adjustment strategy. The equipment power adjustment strategy is evaluated, and based on the evaluation results, a better equipment power adjustment strategy is determined, thereby realizing self-optimization of the wastewater treatment equipment system, and thus more efficiently and accurately treating desulfurization wastewater.

Description

Technical Field

[0001] The present invention relates to the technical field of desulfurization technology for power plants, and in particular to a method for treating desulfurization wastewater. Background Art

[0002] During power generation, power plants generate large amounts of flue gas from their boilers, which contains a high level of sulfur dioxide. To prevent atmospheric pollution, sulfur dioxide must be removed from the flue gas. The limestone / lime-gypsum process is the most mature, widely used, and stable method, with a desulfurization efficiency exceeding 95%. The wet limestone / lime-gypsum process is the most widely used desulfurization method for units 300 MW and above. In large thermal power plants worldwide (such as in Germany and Japan), over 90% of them use wet limestone / lime-gypsum flue gas desulfurization. The limestone / lime process is the most widely used FGD process worldwide, achieving desulfurization rates exceeding 90% for high-sulfur coal and over 95% for low-sulfur coal.

[0003] In the limestone-gypsum wet desulfurization process, the water in the desulfurization device slurry will be enriched with heavy metal elements and Cl- during the continuous circulation process. If it is not treated for a long time, the quality of the absorption tower slurry will deteriorate, reducing the desulfurization efficiency, accelerating equipment corrosion, and increasing system power consumption and limestone consumption.

[0004] In order to avoid the above problems, it is necessary to treat the desulfurization wastewater, and then discharge the treated products in steps, and finally return the filtrate that meets the standards to the desulfurization system. In this process, since the working state of the boiler is dynamically adjusted, the rate of flue gas generation is also not fixed. If different treatment equipment is driven to operate at low power, the filtration effect of the wastewater will sometimes be poor. If different treatment equipment is driven to operate at high power, it will bring about the problem of high treatment cost. In order to avoid the above problems, in the existing technology, the operating power of the treatment equipment will be adjusted through manual experience, thereby reducing the wastewater resources caused by insufficient treatment intensity and the high cost caused by high-power operation of the treatment equipment, as well as the hazards caused by the filtrate not meeting the reuse standards. However, since the adjustment of the treatment equipment by manual experience still has the disadvantage of poor accuracy, there is an urgent need for a desulfurization wastewater treatment method relying on an automated system to drive different treatment equipment to treat the desulfurization wastewater more thoroughly. Summary of the Invention

[0005] The object of the present invention is to provide a desulfurization wastewater treatment system which can effectively treat wastewater and ensure low energy consumption.

[0006] Therefore, the present invention discloses a desulfurization wastewater treatment method, comprising:

[0007] Construct a wastewater treatment equipment system, connect it to the drainage outlet of the absorption tower, and return the filtrate obtained by the wastewater treatment equipment system to the desulfurization system;

[0008] Obtaining information on the degree of wastewater treatment by different treatment equipment, and setting equipment action factors based on the information on the degree of wastewater treatment;

[0009] Obtain the real-time fuel consumption of the boiler, establish a real-time fuel consumption curve, and determine the real-time flue gas generation curve based on the relationship between the curve trend characteristics of the real-time fuel consumption curve and the flue gas generation;

[0010] Based on the real-time flue gas generation curve, the operating status of different treatment equipment is adjusted, and based on the changes in the equipment action factors, the overall wastewater treatment capacity of the wastewater treatment equipment system is maintained;

[0011] Establish an equipment power adjustment model to adjust the power of different wastewater treatment equipment and generate equipment power adjustment strategies in real time;

[0012] The device power adjustment strategy is evaluated, and the device power adjustment model is gradually optimized based on multiple evaluation results.

[0013] In some embodiments of the present application, in order to adjust the operating status of different processing devices, a method for determining the real-time smoke generation curve is disclosed. The method for determining the real-time smoke generation curve includes:

[0014] Constructing a consumption curve characteristic identification model for the real-time fuel consumption curve, and determining a curve variation characteristic of the real-time fuel consumption curve by using the consumption curve characteristic identification model;

[0015] Establishing a change feature correspondence table, wherein the change feature correspondence table includes a plurality of curve change features, and each curve change feature corresponds to a smoke change feature;

[0016] The curve change characteristics determined by the consumption curve characteristic recognition model are searched and analyzed in the change characteristic correspondence table to determine a number of smoke change characteristics corresponding to the curve change characteristics, and the determined smoke change characteristics are analyzed and combined to generate a real-time smoke generation curve.

[0017] In some embodiments of the present application, in order to determine the flue gas change characteristics based on the curve change characteristics of the real-time fuel consumption curve, a method for establishing a change characteristic correspondence table is disclosed. The method for establishing the change characteristic correspondence table includes:

[0018] The boiler operation process is tracked and recorded, the real-time fuel consumption curve and flue gas change characteristics are obtained in real time, the curve change characteristics adjacent in time are matched with the flue gas change characteristics, and recorded in the change characteristic correspondence table.

[0019] In some embodiments of the present application, in order to determine the flue gas variation characteristics, in addition to matching using the variation characteristic correspondence table, a relationship determination method is also disclosed. The method for establishing the relationship between the curve variation characteristics of the real-time fuel consumption curve and the flue gas variation characteristics may further include:

[0020] Tracking and recording the boiler operation process, obtaining the real-time fuel consumption curve and flue gas change characteristics in real time, assigning a value to the curve change characteristics of the real-time fuel consumption curve to obtain a curve change value, and simultaneously assigning a value to the flue gas change characteristics to obtain a flue gas change value;

[0021] According to the neural network learning technology, the smoke change analysis model is constructed with the curve change value as input and the smoke change value as output;

[0022] Based on the flue gas analysis model, the flue gas variation characteristics corresponding to the curve variation characteristics of the real-time fuel consumption curve are calculated and analyzed.

[0023] In some embodiments of the present application, a method for constructing the smoke change analysis model is disclosed. The method for constructing the smoke change analysis model includes:

[0024] The first step is to determine the time delay factor of the curve change characteristics of the fuel consumption curve and the smoke change characteristics;

[0025] The second step is to determine the corresponding relationship between the curve change characteristics of the real-time fuel consumption curve and the growth trend of the flue gas change characteristics;

[0026] The third step is to determine the proportional coefficients of different curve change characteristics and smoke change characteristics after specific quantization values according to the corresponding relationship of the growth trend;

[0027] The fourth step is to establish a flue gas change analysis model.

[0028] In some embodiments of the present application, in order to facilitate the establishment of a neural network learning model, an expression of the smoke change analysis model is disclosed. The expression of the smoke change analysis model includes:

[0029]

[0030] Among them, y i The amount of smoke generated by the i-th curve change characteristic of the real-time fuel consumption curve;

[0031] xi The fuel consumption of the i-th curve change characteristic of the real-time fuel consumption curve;

[0032] described is the first trend determining factor. If the curve variation characteristic of the real-time fuel consumption curve extends in a manner in which the curvature gradually decreases, then Confirmed as the effective coefficient value 1, if the curvature gradually increases, then To confirm that the coefficient value is invalid, the is the second trend determination factor. If the curve variation characteristic of the real-time fuel consumption curve extends in a manner in which the curvature gradually increases, then Confirmed as the effective coefficient value 1, if the curvature gradually decreases, then To confirm the invalid coefficient value is 0;

[0033] k 1i is the first quantized value proportional coefficient of the i-th curve of the real-time fuel consumption curve, which is the proportional coefficient of different curve change characteristics and flue gas change characteristics after specific quantization. 2i is the second quantized value proportional coefficient of the i-th curve of the real-time fuel consumption curve, wherein the second quantized value proportional coefficient is the proportional coefficient of different curve change characteristics and flue gas change characteristics after specific quantization;

[0034] z is a trend determination factor. If the trend of the i-th curve change characteristic of the real-time fuel consumption curve is gradually decreasing, then z is determined to be -1. If the trend of the i-th curve change characteristic of the real-time fuel consumption curve is gradually increasing, then z is determined to be;

[0035] ln is the sign of natural logarithm, and e is a natural constant.

[0036] In some embodiments of the present application, the specific composition of the wastewater treatment equipment system is disclosed, and the wastewater treatment equipment system includes a first cyclone separation device, a second cyclone separation device, a wastewater reaction device and a clarification device;

[0037] The first cyclone separation device is connected to the drain outlet of the absorption tower and is used to perform cyclone separation on the primary wastewater discharged from the absorption tower to separate gypsum, a first filtrate and primary wastewater. The gypsum is discharged from the first cyclone separation device, and the first filtrate is returned to the desulfurization system.

[0038] The second cyclone separation device is connected to the first cyclone separation device and is used to perform cyclone separation on the primary wastewater to produce secondary wastewater and a second filtrate, and the second filtrate is returned to the desulfurization system;

[0039] The wastewater reaction device is connected to the second cyclone separation device and is used to cause the secondary wastewater to undergo neutralization, sedimentation and flocculation reactions;

[0040] The clarification device is connected to the wastewater reaction device and is used to filter out sludge in the wastewater to obtain tertiary wastewater and a third filtrate. The tertiary wastewater is discharged and the third filtrate is returned to the desulfurization system.

[0041] In some embodiments of the present application, a method for evaluating the device power adjustment strategy is disclosed. The method for evaluating the device power adjustment strategy includes:

[0042] Determining the operating costs of different processing devices, and obtaining adjustment methods for different processing devices in the device power adjustment strategy, thereby determining the overall operating costs of all processing devices in the device adjustment strategy;

[0043] The device power adjustment strategy is evaluated based on the overall operating cost of all the processing devices.

[0044] This application discloses a desulfurization wastewater treatment method, which has the following advantages compared to general desulfurization wastewater treatment methods:

[0045] 1. A wastewater treatment equipment system is constructed. The wastewater treatment equipment system includes several wastewater treatment equipment. Through systematic treatment of wastewater, different impurities are separated from the wastewater, which is convenient for subsequent processing and use. The filtrate is returned to the desulfurization system to realize the reuse of wastewater.

[0046] 2. Based on the fuel consumption of the boiler, a real-time fuel consumption curve is established, and based on the consumption curve, the flue gas generation curve is determined. The operating status of different treatment equipment is adjusted based on the flue gas generation curve, achieving more accurate wastewater treatment.

[0047] 3. Based on the real-time flue gas generation curve, the operating status of different treatment equipment is adjusted, and based on the changes in the equipment action factors, the wastewater treatment capacity of the wastewater treatment equipment system is maintained. On this basis, the equipment power adjustment model is used to adjust the power of different wastewater treatment equipment, and the adjustment methods of different wastewater treatment equipment are combined to generate an equipment power adjustment strategy. The equipment power adjustment strategy is evaluated, and based on the evaluation results, a better equipment power adjustment strategy is determined, thereby realizing self-optimization of the wastewater treatment equipment system and treating desulfurization wastewater more efficiently and accurately.

[0048] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A diagram showing the steps of a method for treating wastewater in an embodiment of the present application;

[0050] Figure 2 This is a workflow diagram of a wastewater treatment equipment system in an embodiment of the present application. DETAILED DESCRIPTION

[0051] The technical solution of the present invention is further described below with reference to the accompanying drawings and embodiments.

[0052] Unless otherwise defined, the technical or scientific terms used in the present invention shall have the usual meanings understood by persons of ordinary skill in the field to which the present invention belongs. The words "first", "second" and similar terms used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. Words such as "include" or "comprise" mean that the elements or objects preceding the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Words such as "connect" or "connected" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0053] Example:

[0054] In the limestone-gypsum wet desulfurization process, the water in the desulfurization device slurry will be enriched with heavy metal elements and Cl- during the continuous circulation process. If it is not treated for a long time, the quality of the absorption tower slurry will deteriorate, reducing the desulfurization efficiency, accelerating equipment corrosion, and increasing system power consumption and limestone consumption.

[0055] In order to avoid the above problems, it is necessary to treat the desulfurization wastewater, and then discharge the treated products in steps, and finally return the filtrate that meets the standards to the desulfurization system. In this process, since the working state of the boiler is dynamically adjusted, the rate of flue gas generation is also not fixed. If different treatment equipment is driven to operate at low power, the filtration effect of the wastewater will sometimes be poor. If different treatment equipment is driven to operate at high power, it will bring about the problem of high treatment cost. In order to avoid the above problems, in the existing technology, the operating power of the treatment equipment will be adjusted through manual experience, thereby reducing the wastewater resources caused by insufficient treatment intensity and the high cost caused by high-power operation of the treatment equipment, as well as the hazards caused by the filtrate not meeting the reuse standards. However, since the adjustment of the treatment equipment by manual experience still has the disadvantage of poor accuracy, there is an urgent need for a desulfurization wastewater treatment method relying on an automated system to drive different treatment equipment to treat the desulfurization wastewater more thoroughly.

[0056] The purpose of the present invention is to provide a desulfurization wastewater treatment method, characterized in that, referring to Figure 1 ,include:

[0057] Step S100: construct a wastewater treatment equipment system, connect it to the drain outlet of the absorption tower, and return the filtrate obtained by the wastewater treatment equipment system to the desulfurization system.

[0058] Step S200: obtaining information on the degree of wastewater treatment by different treatment equipment, and setting equipment action factors based on the information on the degree of wastewater treatment.

[0059] Among them, it is necessary to understand that the information on the degree of wastewater treatment includes the degree of treatment of solid waste in the wastewater, as well as various heavy metals and other ions that are not conducive to desulfurization, such as chloride ions. The above substances will cause the deterioration of the slurry quality of the absorption tower, reduce the desulfurization efficiency, accelerate equipment corrosion and increase the system power consumption and limestone consumption.

[0060] The equipment action factor can be understood as a dynamic variable that changes with the degree of wastewater treatment. A more specific understanding is that for a specific treatment equipment, the better the degree of treatment of the wastewater components to be treated, the higher the equipment action factor.

[0061] Step S300 , obtaining the real-time fuel consumption of the boiler, establishing a real-time fuel consumption curve, and determining the real-time flue gas generation curve based on the relationship between the curve trend characteristics of the real-time fuel consumption curve and the flue gas generation.

[0062] It should be understood that the horizontal coordinate of the real-time fuel consumption curve is the time coordinate, and the vertical coordinate is the real-time fuel consumption.

[0063] When understanding the relationship between the curve trend characteristics of the real-time fuel consumption curve and the amount of flue gas generated, it should be noted that under different circumstances, the fuel consumption is not in a simple proportional relationship with the rate of flue gas generation. Under different changing characteristics of fuel consumption, the flue gas has special performance.

[0064] Step S400 , based on the real-time flue gas generation curve, the operating status of different treatment equipment is adjusted, and based on the change of the equipment action factor, the overall wastewater treatment capacity of the wastewater treatment equipment system is maintained.

[0065] Among them, it should be understood here that the wastewater treatment equipment system includes several wastewater treatment equipment, and the equipment action factors corresponding to different wastewater treatment equipment are calculated and analyzed to determine the wastewater treatment capacity of all wastewater treatment equipment as a whole, and based on the requirements of the wastewater treatment process, ensure that the overall wastewater treatment capacity of all wastewater treatment equipment meets the standards.

[0066] Step S500: Establishing an equipment power adjustment model, adjusting the power of different wastewater treatment equipment, and generating equipment power adjustment strategies in real time;

[0067] The equipment adjustment model can be understood as a dynamic adjustment program for power parameters of different wastewater treatment equipment, and the equipment power adjustment strategy can be understood as a collection of driving powers of different equipment at the same time.

[0068] Step S600 : evaluating the device power adjustment strategy and gradually optimizing the device power adjustment model based on multiple evaluation results.

[0069] Among them, the method of optimizing the equipment power model can be understood as comparing multiple evaluation results, and determining a better performing equipment power adjustment strategy based on the evaluation results, and adjusting the power of different wastewater treatment equipment using the equipment power adjustment strategy.

[0070] In some embodiments of the present application, in order to adjust the operating status of different processing equipment, the method for determining the real-time smoke generation curve includes:

[0071] In the first step, a consumption curve characteristic identification model is constructed for the real-time fuel consumption curve, and the curve variation characteristics of the real-time fuel consumption curve are determined by the consumption curve characteristic identification model.

[0072] It should be understood that the consumption curve characteristic identification model can be understood as a specific system submodule that has the ability to identify the rising segment, falling segment, fluctuating segment, and stable segment of the curve. A specific identification method can be to preset a first preset time period based on the time horizontal axis of the curve and evenly intercept a number of time points within the first preset time period, with each adjacent time point being a small time period. If, within the first preset time period, there are a sufficient number of small time periods with fuel consumption greater than a preset value, then the curve corresponding to the first preset time period is determined to meet the rising trend characteristic. Based on the fuel consumption of the curve corresponding to the first preset time period, the magnitude of the rising trend of the curve within the first preset time period is determined. Similarly, the above method can also be used to determine the falling segment of the curve. When determining the fluctuating segment, it is necessary to set a second preset time period with a time span longer than the first preset time period. There are several first preset time periods within the second preset time period. If the curve has alternating rising and falling trends in adjacent first preset time periods within the second preset time period, then the curve within the second preset time period is determined to meet the fluctuating trend characteristic. Similarly, the stable trend characteristic of the curve can be determined based on whether the magnitude of the rising or falling trend of the curve reaches a preset value within the second preset time period.

[0073] The second step is to establish a change feature correspondence table, which includes a number of curve change features, and each curve change feature corresponds to a smoke change feature.

[0074] The curve change characteristics mentioned here include the various trends of the curve rising, falling, fluctuating and stabilizing, as well as the trend strength.

[0075] In the third step, the curve change characteristics determined by the consumption curve characteristic recognition model are searched and analyzed in the change characteristic correspondence table to determine a number of flue gas change characteristics corresponding to the curve change characteristics, and the determined flue gas change characteristics are analyzed and combined to generate a real-time flue gas generation curve.

[0076] In some embodiments of the present application, in order to determine the flue gas change characteristics based on the curve change characteristics of the real-time fuel consumption curve, a method for establishing a change characteristic correspondence table is disclosed. The method for establishing the change characteristic correspondence table includes:

[0077] The boiler operation process is tracked and recorded, the real-time fuel consumption curve and flue gas change characteristics are obtained in real time, the curve change characteristics adjacent in time are matched with the flue gas change characteristics, and recorded in the change characteristic correspondence table.

[0078] What needs to be understood here is that the changes in fuel consumption and flue gas have a certain time delay, so it is necessary to match the curve change characteristics with the flue gas change characteristics that are adjacent in time. During the matching process, it is important to note that the trends of the curve change characteristics and the flue gas change characteristics are the same.

[0079] In some embodiments of the present application, in order to determine the flue gas variation characteristics, in addition to matching using the variation characteristic correspondence table, a relationship determination method is also disclosed. The method of establishing the relationship between the curve variation characteristics of the real-time fuel consumption curve and the flue gas variation characteristics may further include:

[0080] The first step is to track and record the boiler working process, obtain the real-time fuel consumption curve and flue gas change characteristics in real time, assign a value to the curve change characteristics of the real-time fuel consumption curve to obtain a curve change value, and assign a value to the flue gas change characteristics to obtain a flue gas change value.

[0081] In the second step, based on the neural network learning technology, the curve change value is used as the input and the flue gas change value is used as the output to build a flue gas change analysis model.

[0082] The third step is to calculate and analyze the flue gas variation characteristics corresponding to the curve variation characteristics of the real-time fuel consumption curve based on the flue gas analysis model.

[0083] It should be understood that the smoke change characteristics include the trend of smoke change, such as an upward trend, a downward trend, a fluctuating trend and a stable trend, as well as the intensity of the upward trend, the intensity of the downward trend and the intensity of the fluctuating trend, and the amount of smoke generated under different trend states.

[0084] In some embodiments of the present application, a method for constructing the smoke change analysis model is disclosed. The method for constructing the smoke change analysis model includes:

[0085] The first step is to determine the time delay factor of the curve change characteristics of the fuel consumption curve and the smoke change characteristics;

[0086] The second step is to determine the corresponding relationship between the curve change characteristics of the real-time fuel consumption curve and the growth trend of the flue gas change characteristics;

[0087] The third step is to determine the proportional coefficients of different curve change characteristics and flue gas change characteristics after specific quantitative values based on the corresponding relationship of the growth trend (the specific quantitative values mentioned here can be understood as specific fuel consumption and specific flue gas production);

[0088] The fourth step is to establish a flue gas change analysis model.

[0089] In some embodiments of the present application, in order to facilitate the establishment of a neural network learning model, an expression of the smoke change analysis model is disclosed. The expression of the smoke change analysis model includes:

[0090]

[0091] Among them, y i is the amount of smoke generated by the i-th curve change characteristic of the real-time fuel consumption curve.

[0092] x i is the fuel consumption of the i-th curve change characteristic of the real-time fuel consumption curve.

[0093] described is the first trend determination factor (it should be understood here that if the curve change feature of the real-time fuel consumption curve extends in a manner that the curvature gradually decreases, then Confirmed as the effective coefficient value 1, if the curvature gradually increases, then To confirm the invalid coefficient value 0), the is the second trend determination factor (it should be understood here that if the curve change feature of the real-time fuel consumption curve extends in a manner that the curvature gradually increases, then Confirmed as the effective coefficient value 1, if the curvature gradually decreases, then To confirm the invalid coefficient value 0).

[0094] k 1i is the first quantized value proportional coefficient of the i-th curve of the real-time fuel consumption curve, which is the proportional coefficient of different curve change characteristics and flue gas change characteristics after specific quantization. 2i is the second quantized value proportional coefficient of the i-th curve of the real-time fuel consumption curve, and the second quantized value proportional coefficient is the proportional coefficient of different curve change characteristics and flue gas change characteristics after specific quantization values.

[0095] z is a trend determination factor. If the trend of the i-th curve change characteristic of the real-time fuel consumption curve is gradually decreasing, then zi is determined to be -1. If the trend of the i-th curve change characteristic of the real-time fuel consumption curve is gradually increasing, then z is determined to be.

[0096] ln is the sign of natural logarithm, and e is a natural constant.

[0097] In some embodiments of the present application, the specific structure of the wastewater treatment equipment system is disclosed, see Figure 2 , the wastewater treatment equipment system includes a first cyclone separation device, a second cyclone separation device, a wastewater reaction device and a clarification device;

[0098] The first cyclone separation device is connected to the drain outlet of the absorption tower and is used to perform cyclone separation on the primary wastewater discharged from the absorption tower to separate gypsum, a first filtrate and primary wastewater. The gypsum is discharged from the first cyclone separation device, and the first filtrate is returned to the desulfurization system.

[0099] The second cyclone separation device is connected to the first cyclone separation device and is used to perform cyclone separation on the primary wastewater to produce secondary wastewater and a second filtrate, and the second filtrate is returned to the desulfurization system;

[0100] The wastewater reaction device is connected to the second cyclone separation device and is used to cause the secondary wastewater to undergo neutralization, sedimentation and flocculation reactions;

[0101] The clarification device is connected to the wastewater reaction device and is used to filter out sludge in the wastewater to obtain tertiary wastewater and a third filtrate. The tertiary wastewater is discharged and the third filtrate is returned to the desulfurization system.

[0102] In some embodiments of the present application, a method for evaluating the device power adjustment strategy is disclosed. The method for evaluating the device power adjustment strategy includes:

[0103] In the first step, the operating costs of different processing devices are determined, and adjustment methods for different processing devices in the device power adjustment strategy are obtained, thereby determining the overall operating costs of all processing devices in the device adjustment strategy.

[0104] In the second step, the device power adjustment strategy is evaluated based on the overall operating cost of all the processing devices.

[0105] This application discloses a desulfurization wastewater treatment method, which has the following advantages compared to general desulfurization wastewater treatment methods:

[0106] 1. A wastewater treatment equipment system is constructed. The wastewater treatment equipment system includes several wastewater treatment equipment. Through systematic treatment of wastewater, different impurities are separated from the wastewater to facilitate subsequent processing and use. The filtrate is returned to the desulfurization system to achieve wastewater reuse.

[0107] 2. Based on the fuel consumption of the boiler, a real-time fuel consumption curve is established, and based on the consumption curve, the flue gas generation curve is determined. The operating status of different treatment equipment is adjusted based on the flue gas generation curve, achieving more accurate wastewater treatment.

[0108] 3. Based on the real-time flue gas generation curve, the operating status of different treatment equipment is adjusted, and based on the changes in the equipment action factors, the wastewater treatment capacity of the wastewater treatment equipment system is maintained. On this basis, the equipment power adjustment model is used to adjust the power of different wastewater treatment equipment, and the adjustment methods of different wastewater treatment equipment are combined to generate an equipment power adjustment strategy. The equipment power adjustment strategy is evaluated, and based on the evaluation results, a better equipment power adjustment strategy is determined, thereby realizing self-optimization of the wastewater treatment equipment system and treating desulfurization wastewater more efficiently and accurately.

[0109] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit the same. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solutions of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for treating desulfurization wastewater, characterized in that: include: Construct a wastewater treatment equipment system, connect it to the drainage outlet of the absorption tower, and return the filtrate obtained by the wastewater treatment equipment system to the desulfurization system; Obtaining information on the degree of wastewater treatment by different treatment equipment, and setting equipment action factors based on the information on the degree of wastewater treatment; Obtain the real-time fuel consumption of the boiler, establish a real-time fuel consumption curve, and determine the real-time flue gas generation curve based on the relationship between the curve trend characteristics of the real-time fuel consumption curve and the flue gas generation; Based on the real-time flue gas generation curve, the operating status of different treatment equipment is adjusted, and based on the changes in the equipment action factors, the overall wastewater treatment capacity of the wastewater treatment equipment system is maintained; Establish an equipment power adjustment model to adjust the power of different wastewater treatment equipment and generate equipment power adjustment strategies in real time; Evaluate the device power adjustment strategy, and gradually optimize the device power adjustment model based on multiple evaluation results; The method for determining the real-time smoke generation curve includes: Constructing a consumption curve characteristic identification model for the real-time fuel consumption curve, and determining a curve variation characteristic of the real-time fuel consumption curve by using the consumption curve characteristic identification model; Establishing a change feature correspondence table, wherein the change feature correspondence table includes a plurality of curve change features, and each curve change feature corresponds to a smoke change feature; The curve change characteristics determined by the consumption curve characteristic recognition model are searched and analyzed in the change characteristic correspondence table to determine a number of smoke change characteristics corresponding to the curve change characteristics, and the determined smoke change characteristics are analyzed and combined to generate a real-time smoke generation curve.

2. A desulfurization wastewater treatment method according to claim 1, characterized in that: The method for establishing the change feature correspondence table includes: The boiler operation process is tracked and recorded, the real-time fuel consumption curve and flue gas change characteristics are obtained in real time, the curve change characteristics adjacent in time are matched with the flue gas change characteristics, and recorded in the change characteristic correspondence table.

3. A desulfurization wastewater treatment method according to claim 1, characterized in that: The method for establishing the relationship between the curve variation characteristics of the real-time fuel consumption curve and the flue gas variation characteristics further includes: Tracking and recording the boiler operation process, obtaining the real-time fuel consumption curve and flue gas change characteristics in real time, assigning a value to the curve change characteristics of the real-time fuel consumption curve to obtain a curve change value, and simultaneously assigning a value to the flue gas change characteristics to obtain a flue gas change value; According to the neural network learning technology, the smoke change analysis model is constructed with the curve change value as input and the smoke change value as output; Based on the flue gas analysis model, the flue gas variation characteristics corresponding to the curve variation characteristics of the real-time fuel consumption curve are calculated and analyzed.

4. A desulfurization wastewater treatment method according to claim 3, characterized in that: The method for constructing the flue gas change analysis model includes: The first step is to determine the time delay factor of the curve change characteristics of the fuel consumption curve and the smoke change characteristics; The second step is to determine the corresponding relationship between the curve change characteristics of the real-time fuel consumption curve and the growth trend of the flue gas change characteristics; The third step is to determine the proportional coefficients of different curve change characteristics and smoke change characteristics after specific quantization values according to the corresponding relationship of the growth trend; The fourth step is to establish a flue gas change analysis model.

5. A desulfurization wastewater treatment method according to claim 1, characterized in that: The wastewater treatment equipment system includes a first cyclone separation device, a second cyclone separation device, a wastewater reaction device and a clarification device; The first cyclone separation device is connected to the drain outlet of the absorption tower and is used to perform cyclone separation on the primary wastewater discharged from the absorption tower to separate gypsum, a first filtrate and primary wastewater. The gypsum is discharged from the first cyclone separation device, and the first filtrate is returned to the desulfurization system. The second cyclone separation device is connected to the first cyclone separation device and is used to perform cyclone separation on the primary wastewater to produce secondary wastewater and a second filtrate, and the second filtrate is returned to the desulfurization system; The wastewater reaction device is connected to the second cyclone separation device and is used to cause the secondary wastewater to undergo neutralization, sedimentation and flocculation reactions; The clarification device is connected to the wastewater reaction device and is used to filter out sludge in the wastewater to obtain tertiary wastewater and a third filtrate. The tertiary wastewater is discharged and the third filtrate is returned to the desulfurization system.

6. A desulfurization wastewater treatment method according to claim 1, characterized in that: The method for evaluating the device power adjustment strategy includes: Determining the operating costs of different processing devices, and obtaining adjustment methods for different processing devices in the device power adjustment strategy, thereby determining the overall operating costs of all processing devices in the device adjustment strategy; The device power adjustment strategy is evaluated based on the overall operating cost of all the processing devices.

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