Artificial intelligence dynamic regulation and control desulfurization and dust removal integrated tower and desulfurization control method

By adopting a vertical co-tower design with a porous tray, multi-stage spray device and demister in the integrated desulfurization and dust removal tower, and combining it with a real-time data acquisition and control module, the precise control of desulfurization slurry and reagents is achieved, solving the high cost problem caused by the separate layout and improving purification efficiency and stability.

CN121623544APending Publication Date: 2026-03-10HANGZHOU BEIGAOFENG ELECTRIC POWER ENG DESIGN
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-29
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

In existing technologies, the separate arrangement of the desulfurization tower and the wet electrostatic precipitator leads to an increase in wastewater volume during flue gas purification, higher operating costs, and difficulty in accurately controlling the agent flow rate, resulting in unstable desulfurization efficiency.

Method used

The desulfurization and dust removal integrated tower design adopts artificial intelligence dynamic control, combined with a porous tray, multi-stage spray device and demister. Through real-time data acquisition and control module, the spray and agent flow are precisely controlled to achieve precise adaptation and dynamic adjustment of desulfurization slurry.

Benefits of technology

It reduced the operating cost of flue gas purification, improved desulfurization efficiency and dust removal effect, ensured stable compliance of flue gas emissions, and reduced water waste and reagent consumption.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to an artificial intelligence dynamic regulation and control desulfurization and dust removal integrated tower and a desulfurization control method, and relates to the technical field of flue gas purification, the artificial intelligence dynamic regulation and control desulfurization and dust removal integrated tower comprises a desulfurization tower and a wet electric dust remover vertically arranged above the desulfurization tower; a raw flue is formed in the side wall of the desulfurizing tower, an outlet flue is arranged on the side, away from the desulfurizing tower, of the wet electric dust remover, a slurry pond is formed in the side, away from the wet electric dust remover, of the desulfurizing tower, and the desulfurizing tower is provided with a porous tray, a multi-stage spraying device and a demister from bottom to top. The porous tray, the multi-stage spraying device and the demister are all positioned between the slurry pond and the wet electric dust collector; a slurry circulating pump is arranged between the multi-stage spraying device and the slurry pond, a spraying control valve is arranged between the slurry circulating pump and the slurry pond, a wet electric washing water control valve is arranged on the wet electric dust remover, and a demisting washing water control valve is arranged on the demister. The flue gas purification device has the effect of reducing the operation cost during flue gas purification.
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Description

Technical Field

[0001] This invention relates to the field of flue gas purification technology, and in particular to an integrated desulfurization and dust removal tower and desulfurization control method with artificial intelligence dynamic regulation. Background Technology

[0002] Flue gas purification refers to environmental protection technologies that remove pollutants such as particulate matter, acid gases, nitrogen oxides, volatile organic compounds (VOCs), and heavy metals from flue gas through physical, chemical, or biological means, so that the flue gas meets emission standards before being discharged. It is widely used in industrial production, energy combustion, and other fields.

[0003] Currently, industrial flue gas is generally treated using a desulfurization tower and a wet electrostatic precipitator, which are arranged separately. The high-temperature raw flue gas is first pressurized by an induced draft fan, cooled by a flue gas heat exchanger, and pre-treated with dust removal. It then enters a limestone-gypsum wet desulfurization tower, where it flows counter-currently against the atomized limestone slurry sprayed from the top of the tower. Through a chemical reaction, sulfur dioxide is removed, and recyclable gypsum is generated. The low-temperature, high-humidity flue gas discharged from the desulfurization tower is then conditioned and horizontally enters a horizontal wet electrostatic precipitator. Under the action of a high-voltage electrostatic field, fine particulate matter, gypsum droplets, and heavy metal aerosols in the flue gas are ionized and adsorbed onto the anode plates, thus undergoing deep purification. The gas is then heated as needed before being discharged through a chimney to meet emission standards.

[0004] Because the purification of flue gas requires the high-temperature raw flue gas to be fed into the desulfurization tower and then into the horizontal wet electrostatic precipitator for deep purification, and the desulfurization tower and the horizontal wet electrostatic precipitator are arranged separately, fine particulate matter, gypsum droplets, and heavy metal aerosols in the flue gas are ionized and charged and adsorbed onto the anode plates in the horizontal wet electrostatic precipitator. High-pressure water film needs to be sprayed periodically from the nozzles above the anode plates to flush the adsorbed pollutants into the collection tank, which leads to an increase in wastewater volume and thus higher operating costs. Summary of the Invention

[0005] To reduce the operating costs of flue gas purification, this invention provides an integrated desulfurization and dust removal tower with artificial intelligence dynamic control and a desulfurization control method.

[0006] In a first aspect, the present invention provides an integrated desulfurization and dust removal tower with dynamic control via artificial intelligence, employing the following technical solution:

[0007] An integrated desulfurization and dust removal tower with artificial intelligence dynamic control includes a desulfurization tower for desulfurizing raw flue gas and a wet electrostatic precipitator vertically arranged above the desulfurization tower for removing dust from the raw flue gas.

[0008] The desulfurization tower has a raw flue gas duct on its side wall for the raw flue gas to enter. The wet electrostatic precipitator has an outlet flue gas duct on its side away from the desulfurization tower for the purified flue gas to exit. The desulfurization tower has a slurry pool on its side away from the wet electrostatic precipitator for placing the desulfurization slurry. The desulfurization tower is provided from bottom to top with a porous tray for stabilizing the flue gas flow field, a multi-stage spray device for spraying the desulfurization slurry, and a demister for intercepting droplets. The porous tray, the multi-stage spray device, and the demister are all located between the slurry pool and the wet electrostatic precipitator.

[0009] A slurry circulation pump for recovering desulfurization slurry is provided between the multi-stage spraying device and the slurry tank. A spraying control valve for controlling the flow rate of the sprayed desulfurization slurry is provided between the slurry circulation pump and the slurry tank. A wet electrostatic precipitator is provided with a wet electrostatic flushing water control valve for controlling the flow rate of the spraying flushing water. A demisting flushing water control valve is provided on the demister for controlling the flow rate of the spraying flushing water.

[0010] By adopting the above technical solution, the desulfurization tower and wet electrostatic precipitator are designed to be vertically integrated, and equipped with a perforated tray, multi-stage spray device and demister. The structure is compact and saves space. The perforated tray stabilizes the flue gas flow field. The multi-stage spray and demister work together to improve the desulfurization and dust removal synergy. The flushing water can be recycled to the slurry pool to reduce water waste and thus reduce the operating cost of flue gas purification.

[0011] Optionally, the desulfurization tower is equipped with a reagent regulating valve for controlling the flow rate of external reagent input.

[0012] By adopting the above technical solution, the desulfurization tower is equipped with a reagent regulating valve, which can accurately control the external reagent input flow rate, avoid excessive or insufficient reagent addition, ensure the stability of the desulfurization slurry performance, thereby improving desulfurization efficiency and reducing reagent consumption costs.

[0013] Optionally, it also includes a data acquisition module for real-time acquisition of operating data and a control module for dynamic regulation. The control module is electrically connected to the data acquisition module to receive operating data and output the final adjustment strategy to the spray control valve, the slurry circulation pump and the reagent regulating valve, thereby dynamically regulating the desulfurization slurry and external reagents.

[0014] By adopting the above technical solution, the acquisition module collects operating data in real time, and the control module is electrically connected to each control valve for dynamic adjustment, so as to achieve precise matching of desulfurization slurry, flushing water and agents, with fast response speed, effectively cope with the fluctuation of operating conditions, ensure stable compliance of flue gas emissions, and reduce the operating cost of flue gas purification.

[0015] Secondly, the present invention provides a desulfurization control method with dynamic regulation based on artificial intelligence, employing the following technical solution:

[0016] An artificial intelligence-based dynamic control method for desulfurization, applied to an integrated desulfurization and dust removal tower with artificial intelligence-based dynamic control as described in the first aspect, comprising:

[0017] S1: Real-time collection of operational data, including flue gas input detection information, flue gas output detection information, desulfurization slurry detection information, reagent detection information, pump specifications, number of pumps in operation, pump operating power, and pump operation number;

[0018] S2: Retrieve flue gas input detection information, flue gas output detection information, desulfurization slurry detection information, and reagent detection information based on operational data;

[0019] S3: Determine the compensation adjustment strategy based on the comparison results between the flue gas output detection information and the preset flue gas output reference information;

[0020] S4: Predict the trend of pollutant concentration change per unit time based on flue gas output detection information;

[0021] S5: Combine pollutant concentration trends and reagent detection information to conduct cost-optimization analysis in order to obtain early adjustment strategies;

[0022] S6: Combining the compensation adjustment strategy and the advance adjustment strategy, generate the final adjustment strategy and execute the final adjustment strategy to dynamically adjust the spray control valve, the slurry circulation pump and the reagent regulating valve in real time.

[0023] By adopting the above technical solution, and by collecting operational data and generating a combination of compensation and adjustment strategies and advance adjustment strategies, the current deviation is corrected by comparing with the benchmark, and the optimization is carried out in advance based on trend prediction. This balances emission compliance and cost optimization, adapts to complex operating condition changes, effectively responds to operating condition fluctuations, ensures stable compliance of flue gas emissions, and reduces operating costs during flue gas purification.

[0024] Optionally, methods for determining compensation and adjustment strategies include:

[0025] S31: Retrieve real-time pH value and real-time density value of slurry based on desulfurization slurry detection information;

[0026] S32: Determine the spraying adjustment benchmark value by combining the real-time pH value and real-time density value of the slurry;

[0027] S33: Analyze the deviation between the flue gas output detection information and the preset flue gas output reference information and use it as the flue gas output deviation information;

[0028] S34: Retrieve the outlet dust concentration deviation value based on flue gas output deviation information;

[0029] S35: Calculate the quotient between the outlet dust concentration deviation value and the spray adjustment benchmark value and use it as the spray demand adjustment value;

[0030] S36: Determine the spray adjustment control information based on the spray demand adjustment value, and output the spray adjustment control information to the spray control valve and the slurry circulation pump to perform spray adjustment as a compensation adjustment strategy.

[0031] By adopting the above technical solution, the spraying demand adjustment value is determined based on the real-time pH value, density value of the slurry and the deviation of flue gas output. The spraying control valve and slurry circulation pump are adjusted in a targeted manner to accurately match the desulfurization and dust removal requirements, thereby improving parameter adaptability and purification effect.

[0032] Optionally, methods for determining sprinkler adjustment control information include:

[0033] S361: Retrieve the pump body specifications, number of pumps in operation, and pump operating power of the slurry circulation pump based on the operating data;

[0034] S362: Determine the spray power coefficient by querying the preset specification database based on the pump body specification parameters;

[0035] S363: Calculate the product between the sprinkler demand adjustment value and the sprinkler power coefficient and use it as the sprinkler demand adjustment power;

[0036] S364: Based on the spraying requirements, adjust the power, the number of pumps in operation, and the pump operating power to determine the pump selection and operation information;

[0037] S365: Determine the selected spray operation information by combining the pump body's selected operation information with the spray demand adjustment value;

[0038] S366: Combine the pump body selection operation information with the spray selection operation information and use it as the spray adjustment control information.

[0039] By adopting the above technical solution, the spray adjustment power is calculated by combining the pump body specifications, operating status and spray power coefficient, thereby determining the pump body selection operation information and the spray selection operation information and combining them as the spray adjustment control information, ensuring that the spray effect meets the standard, while avoiding ineffective pump operation and reducing energy consumption.

[0040] Optionally, the methods for determining the pump body's operating information include:

[0041] S3641: Determine if the spray demand adjustment power is a positive value;

[0042] S3642: If yes, then the maximum power of the pump body is determined by querying the preset specification database based on the pump body specification parameters.

[0043] S3643: Based on the comparison between the power adjustment and the maximum power of the pump body according to the spraying requirements, determine the power increase operation information, and use the power increase operation information as the pump body selection operation information;

[0044] S3644: If not, then based on the comparison between the power adjustment and pump operating power according to the spraying demand, determine the power reduction operating information, and use the power reduction operating information as the pump selection operating information.

[0045] By adopting the above technical solution, the pump operation is dynamically adjusted according to the positive and negative values ​​of the spray demand adjustment power. When the power is insufficient, the power is increased based on the comparison between the spray demand adjustment power and the pump's maximum power. When there is redundancy, the power is reduced based on the comparison between the spray demand adjustment power and the pump's operating power. This avoids mismatch between pump operation and spray demand, and improves system operating efficiency and energy utilization.

[0046] Optionally, methods for determining power increase operation information include:

[0047] S36431: The combined maximum power is calculated by combining the number of pumps in operation, the operating power of the pumps, and the maximum power of the pumps.

[0048] S36432: Determine whether the power adjustment for sprinkler requirements is greater than the overall maximum power;

[0049] S36433: If yes, calculate the difference between the sprinkler demand adjustment power and the comprehensive maximum power and use it as the adjustment power shortage.

[0050] S36434: Determine the concentration adjustment value by combining the adjustment of insufficient power and the spray adjustment baseline value;

[0051] S36435: Determine the reagent flow rate adjustment value by combining the concentration adjustment value and reagent detection information;

[0052] S36436: The comprehensive maximum power is used as the power increase operation information, and the agent flow rate adjustment value is output to the agent regulating valve for real-time dynamic adjustment to incorporate a compensation adjustment strategy;

[0053] S36437: If not, adjust the power, number of pumps in operation, and pump operating power according to the spraying requirements, and determine whether to increase the number of pumps or increase the power as the power increase operation information.

[0054] By adopting the above technical solution, when the power increases, it is judged based on the comprehensive maximum power. When it is insufficient, it is supplemented by adjusting the agent flow rate. This not only makes full use of the pump efficiency, but also ensures the desulfurization effect through agent adaptation, and avoids the emission exceeding the standard due to the limitation of pump power.

[0055] Optionally, after outputting the agent flow rate adjustment value to the agent regulating valve for real-time dynamic adjustment to incorporate a compensation adjustment strategy, the method further includes:

[0056] S364361: Retrieve the total volume of desulfurization slurry based on desulfurization slurry detection information;

[0057] S364362: Calculate the sum between the total slurry volume and the reagent flow rate adjustment value and use it as the slurry increase value;

[0058] S364363: Calculate the ratio between the reagent flow rate adjustment value and the slurry increase value and use it as the reagent increase ratio value;

[0059] S364364: Based on the number of pumps in operation and the maximum power of the pumps, and in conjunction with the spray power coefficient, calculate and determine the comprehensive spray flow rate;

[0060] S364365: Calculate the ratio between the comprehensive spray flow rate and the increase in slurry volume and use it as the spray ratio value;

[0061] S364366: Combine the increase ratio of the reagent with the spray ratio to determine the stirring power value, and output the stirring power value to the stirring device preset in the slurry tank for stirring.

[0062] By adopting the above technical solution, the agent flow rate is adjusted and then stirred by a stirring device. Combined with the increase in agent ratio and spraying ratio, the slurry is ensured to be mixed evenly, the pH value and density of the slurry are kept stable, the desulfurization reaction is ensured to be sufficient, and the flue gas purification effect is further improved.

[0063] Optionally, methods for determining power reduction operation information include:

[0064] S36441: Determine whether the power required for spraying is less than the operating power of the pump.

[0065] S36442: If yes, then retrieve the pump body operation number based on the operation data;

[0066] S36443: Determine the reagent input distance value based on the pump body operation number;

[0067] S36444: Calculate the difference between the spray demand adjustment power and the pump operating power and use it as the single pump power deviation value;

[0068] S36445: Determine the reference value by combining the single pump power deviation value and the reagent input distance value;

[0069] S36446: Based on the selected reference values, sort them from largest to smallest, select the pump body operation number with the first ranking as the reduction selection number, and use the single pump power deviation value corresponding to the reduction selection number as the reduction selection adjustment value.

[0070] S36447: Combine the reduction selection number with the reduction selection adjustment value and use it as power reduction operation information;

[0071] S36448: If not, calculate the quotient between the spray demand adjustment power and the number of pumps in operation and use it as a single power reduction, and use the single power reduction as power reduction operation information.

[0072] By adopting the above technical solution, the power of the spray system is adjusted according to the spray requirements and the power of the pump is compared. The pump number is reduced or the power of a single pump is reduced, which reduces redundant power consumption and avoids energy waste. At the same time, it ensures that the spray meets the purification requirements, taking into account both energy saving and compliance.

[0073] In summary, the present invention has at least one of the following beneficial technical effects:

[0074] 1. The desulfurization tower and wet electrostatic precipitator are designed to be vertically integrated, with a perforated tray, multi-stage spraying device and demister. The structure is compact and saves space. The perforated tray stabilizes the flue gas flow field. The multi-stage spraying and demister work together to improve the desulfurization and dust removal effect. The flushing water can be recycled to the slurry pool to reduce water waste and thus reduce the operating cost of flue gas purification.

[0075] 2. The desulfurization tower is equipped with a reagent regulating valve, which can accurately control the external reagent input flow rate, avoid excessive or insufficient reagent addition, ensure the stability of the desulfurization slurry performance, thereby improving desulfurization efficiency and reducing reagent consumption costs;

[0076] 3. The acquisition module collects operational data in real time, and the control module is electrically connected to each control valve for dynamic adjustment, achieving precise matching of desulfurization slurry, flushing water and chemicals. It has a fast response speed, effectively copes with fluctuations in operating conditions, ensures stable compliance of flue gas emissions, and reduces operating costs during flue gas purification. Attached Figure Description

[0077] Figure 1 This is a process flow diagram of an integrated desulfurization and dust removal tower with dynamic control by artificial intelligence;

[0078] Figure 2 This is a flowchart of a desulfurization control method based on artificial intelligence dynamic regulation.

[0079] The parts referred to by the numbers in the above attached diagrams are as follows: 1. Desulfurization tower; 2. Wet electrostatic precipitator; 3. Raw flue; 4. Outlet flue; 5. Slurry tank; 6. Perforated tray; 7. Multi-stage spray device; 8. Demister; 9. Slurry circulation pump; 10. Spray control valve; 11. Wet electrostatic flushing water control valve; 12. Demister flushing water control valve; 13. Chemical regulating valve; 14. Flue gas detection device; 15. Slurry detection device; 16. Chemical flow meter; 17. Control module. Detailed Implementation

[0080] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0081] Reference Figure 1 This invention discloses an integrated desulfurization and dust removal tower with artificial intelligence dynamic control, comprising a desulfurization tower 1 for desulfurizing raw flue gas, a wet electrostatic precipitator 2 vertically arranged above the desulfurization tower 1 for dust removal from the raw flue gas, a data acquisition module for real-time data collection, and a control module 17 for dynamic control. The control module 17 can be a dynamic controller, enabling real-time monitoring, dynamic calculation and feedback control, and self-learning optimization (like AlphaGo) to ensure efficient purification.

[0082] Reference Figure 1 The desulfurization tower 1 has a raw flue duct 3 on its side wall for the raw flue gas to enter. An alloy steel guide plate is rotatably installed on the raw flue duct 3, with a guide angle of 30-45° to facilitate uniform entry of the flue gas into the desulfurization tower 1. The wet electrostatic precipitator 2 has an outlet flue duct 4 on its side away from the desulfurization tower 1 for the purified flue gas to exit. The wet electrostatic precipitator 2 is equipped with a wet electrostatic flushing water control valve 11 to control the flow rate of the spray flushing water. The anode tube of the wet electrostatic precipitator 2 is made of 2205 duplex stainless steel honeycomb tube with a wall thickness of 2 to 3 mm, and the cathode wire is made of 2205 barbed tube, thus capturing ultrafine dust and gypsum rain. The flue gas enters the desulfurization tower 1 from the raw flue duct 3 for preliminary dust removal and desulfurization, then enters the wet electrostatic precipitator 2 for deep purification, and is discharged from the outlet flue duct 4, thus purifying the flue gas.

[0083] Reference Figure 1 The desulfurization tower 1 is equipped with, from bottom to top, a porous tray 6 for stabilizing the flue gas flow field, a multi-stage spray device 7 for spraying desulfurization slurry, and a demister 8 for intercepting droplets. The porous tray 6 is located above the original flue duct 3, and its opening ratio is 35% to 45%, thereby uniformly distributing the flue gas flow field and preventing flow deviation. The multi-stage spray device 7 is equipped with several independently adjustable spray layers for initial dust suppression. The demister 8 is equipped with a demisting flushing water control valve 12 for controlling the flow rate of the spray flushing water. In this embodiment, there are four spray layers, and the nozzles of the spray layers are bidirectional SiC hollow cones with an adjustable atomization particle size of 50 to 200 μm, a coverage angle of 120°, and a coverage rate of 600%. The demister 8 is a two-stage flat plate demister, which enables two-stage demisting to remove some gypsum rain.

[0084] Reference Figure 1A slurry tank 5 for holding desulfurization slurry is provided on the side of the desulfurization tower 1 away from the wet electrostatic precipitator 2. The slurry tank 5 is located below the porous tray 6, which facilitates the collection of liquid after spraying by the multi-stage spray device 7, demister 8, and wet electrostatic precipitator 2. A slurry circulation pump 9 for recovering desulfurization slurry is installed between the multi-stage spray device 7 and the slurry tank 5. A spray control valve 10 for controlling the flow rate of the sprayed desulfurization slurry is installed between the slurry circulation pump 9 and the slurry tank 5. The desulfurization slurry in the slurry tank 5 is recycled by the slurry circulation pump 9, thereby reducing operating costs.

[0085] Reference Figure 1 The desulfurization tower 1 is connected to an external reagent input interface, and a reagent regulating valve 13 is installed on the desulfurization tower 1 to control the flow rate of the external reagent input. By adjusting the flow rate of the external reagent input through the reagent regulating valve 13, the pH value and density of the desulfurization slurry can be kept stable.

[0086] Reference Figure 1 The data acquisition module includes a flue gas detection device 14, a reagent flow meter 16, and a slurry detection device 15. Two flue gas detection devices 14 are installed, one in the original flue duct 3 and the other in the outlet flue duct 4, to detect parameters such as flue gas volume, temperature, dust concentration, and oxygen content, providing these as input and output flue gas detection information. The reagent flow meter 16 is connected between the reagent regulating valve 13 and the desulfurization tower 1 to detect the external reagent input flow rate, providing reagent detection information. The slurry detection device 15 is installed on the slurry tank 5 to detect the pH value, density, and volume of the desulfurization slurry, providing desulfurization slurry detection information. The slurry detection device 15 includes a pH meter for detecting the pH value of the desulfurization slurry and a density meter for detecting the density of the desulfurization slurry.

[0087] The control module 17 is electrically connected to the acquisition module, slurry circulation pump 9, spray control valve 10, wet electro-flushing water control valve 11, demisting flushing water control valve 12, and chemical regulating valve 13 to receive operating data and output the final adjustment strategy to the spray control valve 10, slurry circulation pump 9, and chemical regulating valve 13, thereby dynamically regulating the desulfurization slurry and external chemicals. Furthermore, the control module 17 can control the wet electro-flushing water control valve 11 and the demisting flushing water control valve 12 to adjust the flow rate of the flushing water, thus performing flushing.

[0088] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0089] Reference Figure 2 Based on the same inventive concept, embodiments of the present invention provide a desulfurization control method with dynamic regulation using artificial intelligence, comprising:

[0090] S1: Real-time collection of operational data.

[0091] The operational data includes flue gas input detection information, flue gas output detection information, desulfurization slurry detection information, reagent detection information, pump specifications, number of pumps in operation, pump operating power, and pump operation number.

[0092] Flue gas input detection information refers to parameters such as flue gas volume, flue gas temperature, dust concentration, and oxygen content in the original flue gas duct 3. Flue gas output detection information refers to parameters such as flue gas volume, flue gas temperature, dust concentration, and oxygen content in the outlet flue gas duct 4. Desulfurization slurry detection information refers to the pH value, density value, and volume value of the desulfurization slurry in the slurry tank 5. Chemical reagent detection information refers to the external chemical reagent input flow rate parameters.

[0093] Pump body specifications refer to the dimensions, maximum power, and other specifications of the currently used slurry circulation pump 9. Number of pumps in operation refers to the number of slurry circulation pumps 9 currently in operation. Pump operating power refers to the power of the currently operating slurry circulation pump 9. Pump operation number refers to the number corresponding to the currently operating slurry circulation pump 9.

[0094] Operational data is collected through the acquisition module and obtained by querying the slurry circulation pump 9.

[0095] S2: Retrieves flue gas input detection information, flue gas output detection information, desulfurization slurry detection information, and reagent detection information based on operational data.

[0096] The system retrieves flue gas input detection information, flue gas output detection information, desulfurization slurry detection information, and reagent detection information from operational data for convenient subsequent use.

[0097] S3: Determine the compensation adjustment strategy based on the comparison results between the flue gas output detection information and the preset flue gas output reference information.

[0098] Among them, the flue gas output baseline information refers to the standard parameters that the purified flue gas needs to achieve, such as the concentration of sulfur dioxide dust and the oxygen content. The compensation and adjustment strategy refers to the targeted control plan formulated to correct the deviation of the flue gas output parameters and ensure compliance with the standards.

[0099] By comparing the flue gas output detection information with the preset flue gas output benchmark information, and formulating compensation and adjustment strategies based on the comparison results, it is convenient for subsequent use.

[0100] To further ensure the rationality of the compensation adjustment strategy, it is necessary to conduct a further separate analysis and calculation of the compensation adjustment strategy, which will be explained in detail through the steps shown below.

[0101] The method for determining the compensation adjustment strategy includes the following steps:

[0102] S31: Retrieve the real-time pH value and real-time density value of the slurry based on the desulfurization slurry detection information.

[0103] The real-time pH value of the slurry refers to the pH value of the desulfurization slurry at the current time. The real-time density value of the slurry refers to the density value of the desulfurization slurry at the current time. The desulfurization slurry detection information includes the real-time pH value and the real-time density value of the slurry.

[0104] The real-time pH and density values ​​of the desulfurization slurry can be retrieved by analyzing the slurry's detection information, which facilitates subsequent use.

[0105] S32: Determine the spraying adjustment benchmark value by combining the real-time pH value and real-time density value of the slurry.

[0106] Among them, the spray adjustment benchmark value refers to the flow rate of desulfurization slurry required to reduce the concentration of sulfur dioxide dust per unit when desulfurizing flue gas.

[0107] By inputting the real-time pH value and real-time density value of the slurry into the preset spraying reference database, a spraying adjustment reference value is obtained for convenient subsequent use.

[0108] The spraying reference database pre-stores a comparison table of different real-time slurry pH values, real-time slurry density values ​​and corresponding spraying adjustment reference values. The spraying reference database is obtained by the operator after detecting the flow rate of desulfurization slurry required when spraying at different real-time slurry pH values ​​and real-time slurry density values.

[0109] S33: Analyze the deviation between the flue gas output detection information and the preset flue gas output reference information and use it as the flue gas output deviation information.

[0110] Among them, the flue gas output deviation information refers to the set of deviations corresponding to the deviations when parameters such as sulfur dioxide dust concentration and oxygen content of the purified flue gas are deviated.

[0111] By comparing the flue gas output detection information with each parameter in the preset flue gas output reference information according to parameter type, calculating the deviation value, and then combining the deviation values ​​corresponding to each parameter type to form a set of deviation parameters as flue gas output deviation information, it is convenient for subsequent use.

[0112] S34: Retrieve the outlet dust concentration deviation value based on flue gas output deviation information.

[0113] The outlet dust concentration deviation value refers to the deviation value corresponding to the deviation in the sulfur dioxide dust concentration of the purified flue gas. Flue gas output deviation information includes the outlet dust concentration deviation value.

[0114] The deviation value of the outlet dust concentration is retrieved by using the flue gas output deviation information, which is convenient for subsequent use.

[0115] S35: Calculate the quotient between the outlet dust concentration deviation value and the spray adjustment benchmark value and use it as the spray demand adjustment value.

[0116] Among them, the spraying demand adjustment value refers to the adjustment value corresponding to the need to adjust the flow rate of the sprayed desulfurization slurry.

[0117] The quotient between the deviation value of the outlet dust concentration and the spray adjustment benchmark value is calculated, and the calculation result is used as the spray demand adjustment value for convenient subsequent use.

[0118] S36: Determine the spray adjustment control information based on the spray demand adjustment value, and output the spray adjustment control information to the spray control valve 10 and the slurry circulation pump 9 to perform spray adjustment as a compensation adjustment strategy.

[0119] Among them, the spray adjustment control information refers to the control information for adjusting the operation of the spray control valve 10 and the slurry circulation pump 9.

[0120] By analyzing the spraying demand adjustment value, spraying adjustment control information is determined, and the spraying adjustment control information is output to the spraying control valve 10 and the slurry circulation pump 9 to carry out spraying adjustment as a compensation adjustment strategy, thereby improving the accuracy of the obtained compensation adjustment strategy.

[0121] To further ensure the rationality of the sprinkler adjustment and control information, it is necessary to perform further separate analysis and calculation on the sprinkler adjustment and control information, which will be explained in detail through the steps shown below.

[0122] The method for determining sprinkler adjustment and control information includes the following steps:

[0123] S361: Retrieve the pump body specifications, number of pumps in operation, and pump operating power of slurry circulation pump 9 based on the operating data.

[0124] Among them, the pump body specifications, number of pumps in operation, and pump operating power can be retrieved through the operating data to facilitate subsequent use.

[0125] S362: Determine the spray power coefficient by querying the preset specification database based on the pump body specification parameters.

[0126] Among them, the spray power coefficient refers to the ratio between the amount of liquid sprayed by the slurry circulation pump of specification 9 and the required operating power.

[0127] The specification database contains a pre-stored table of different pump body specifications and their corresponding spray power coefficients. The specification database can be obtained by the operator by consulting the manufacturer's technical manual or the parameter table provided by the supplier for the specification of the slurry circulation pump 9.

[0128] S363: Calculate the product between the sprinkler demand adjustment value and the sprinkler power coefficient, and use it as the sprinkler demand adjustment power.

[0129] Among them, the spray demand adjustment power refers to the power that needs to be adjusted according to the spray demand adjustment value.

[0130] The product between the spray demand adjustment value and the spray power coefficient is calculated, and the calculation result is used as the spray demand adjustment power for convenient subsequent use.

[0131] S364: Adjust the power, number of pumps in operation, and pump operating power according to the spraying requirements to determine the pump selection and operation information.

[0132] Among them, the pump body selection and operation information refers to the control information for selecting and adjusting the operation of the slurry circulation pump 9.

[0133] By combining and analyzing the power adjustment required for spraying, the number of pumps in operation, and the operating power of the pumps, the pump selection and operation information can be determined to facilitate subsequent use.

[0134] To further ensure the rationality of the pump selection operation information, it is necessary to perform further separate analysis and calculation on the pump selection operation information, which will be explained in detail through the following steps.

[0135] The method for determining the pump body's operating information includes the following steps:

[0136] S3641: Determine if the sprinkler demand adjustment power is positive. If yes, proceed to S3642; if no, proceed to S3644.

[0137] In this process, the system determines whether it is necessary to increase the operating power of the slurry circulation pump 9 by judging whether the power adjustment for spraying demand is positive.

[0138] S3642: Determine the maximum power of the pump body by querying the preset specification database based on the pump body specification parameters.

[0139] Among them, the maximum power of the pump body refers to the maximum power that the slurry circulation pump 9 can operate at.

[0140] By inputting the pump body specifications into a preset specification database, the maximum power of the pump body can be matched and obtained, which facilitates subsequent use.

[0141] The specification database also pre-stores different pump body specification parameters and corresponding maximum pump body power.

[0142] S3643: Based on the comparison between the power adjustment and the maximum power of the pump body according to the spraying requirements, determine the power increase operation information, and use the power increase operation information as the pump body selection operation information.

[0143] Among them, the power increase operation information refers to the control information corresponding to increasing the operating power of the slurry circulation pump 9.

[0144] By analyzing the comparison between the power adjustment for spray demand and the maximum power of the pump, the power increase operation information is determined, and this power increase operation information is used as the pump selection operation information to improve the accuracy of the obtained pump selection operation information.

[0145] To further ensure the rationality of the power increase operation information, it is necessary to perform further separate analysis and calculation on the power increase operation information, which will be explained in detail through the steps shown below.

[0146] The method for determining power increase operation information includes the following steps:

[0147] S36431: The combined maximum power is calculated by combining the number of pumps in operation, the operating power of the pumps, and the maximum power of the pumps.

[0148] Among them, the comprehensive maximum power refers to the total adjustment value corresponding to adjusting the currently operating slurry circulation pump 9 to the maximum power that can be operated.

[0149] The maximum comprehensive power is calculated by summing the maximum power of the pumps corresponding to the number of pumps in operation. Then, the comprehensive operating power is calculated by summing the operating power of the pumps corresponding to the number of pumps in operation. Finally, the difference between the maximum comprehensive power and the comprehensive operating power is calculated and used as the comprehensive maximum power for convenient subsequent use.

[0150] S36432: Determine whether the adjusted power for sprinkler demand is greater than the overall maximum power. If yes, proceed to S36433; if no, proceed to S36437.

[0151] In this process, the power of the slurry circulation pump 9 can be directly adjusted by determining whether the power required for spraying is greater than the maximum power.

[0152] S36433: Calculate the difference between the sprinkler demand adjustment power and the comprehensive maximum power and use it as the adjustment power shortage.

[0153] Among them, adjusting the missing power refers to the power that is still missing when the currently running slurry circulation pump 9 is adjusted to its maximum operating power.

[0154] When the power adjustment required for spraying is greater than the maximum power, it means that the power of the slurry circulation pump 9 cannot be directly adjusted. Therefore, the difference between the power adjustment required for spraying and the maximum power is calculated, and the calculation result is used as the power to adjust for the missing power, which is convenient for subsequent use.

[0155] S36434: Determine the concentration adjustment value by combining the adjustment of insufficient power and the spray adjustment benchmark value.

[0156] The concentration adjustment value refers to the concentration corresponding to the adjustment of sulfur dioxide dust concentration based on the power deficiency adjustment.

[0157] The missing spray volume is obtained by calculating the quotient between the adjusted insufficient power and the spray power coefficient. Then, the concentration adjustment value is obtained by calculating the product between the missing spray volume and the spray adjustment reference value, which is convenient for subsequent use.

[0158] S36435: Determine the drug flow rate adjustment value by combining the concentration adjustment value and the drug detection information.

[0159] Among them, the agent flow rate adjustment value refers to the adjustment value corresponding to the need to adjust the input flow rate of external agents.

[0160] The adjusted concentration value is obtained by multiplying the concentration adjustment value with the preset drug treatment coefficient. Then, the flow rate is adjusted based on the adjusted concentration value and the flow rate corresponding to the drug detection information, which is used as the drug flow rate adjustment value for subsequent use.

[0161] S36436: The maximum power is used as the power increase operation information, and the agent flow adjustment value is output to the agent regulating valve 13 for real-time dynamic adjustment to incorporate the compensation adjustment strategy.

[0162] In this process, the maximum power is used as the power increase operation information, and the agent flow adjustment value is output to the agent regulating valve 13 for real-time dynamic adjustment to incorporate a compensation adjustment strategy. This ensures the desulfurization effect through agent adaptation and avoids emissions exceeding standards due to pump power limitations.

[0163] To further ensure the rationality of the output drug flow rate adjustment value after real-time dynamic adjustment of the drug regulating valve 13, it is necessary to perform further separate analysis and calculation on the output drug flow rate adjustment value after real-time dynamic adjustment of the drug regulating valve 13. The specific steps are explained in detail below.

[0164] After the output drug flow rate adjustment value is dynamically adjusted to the drug regulating valve 13 in real time, the following steps are also included:

[0165] S364361: Retrieve the total volume of slurry based on desulfurization slurry detection information.

[0166] The total slurry volume refers to the total volume of desulfurization slurry in slurry tank 5. Desulfurization slurry monitoring information includes the total slurry volume.

[0167] The total volume of the desulfurization slurry can be retrieved by analyzing the slurry detection information, which facilitates subsequent use.

[0168] S364362: Calculate the sum between the total slurry volume and the reagent flow rate adjustment value and use it as the slurry increase value.

[0169] The slurry increase value refers to the total volume of desulfurization slurry in slurry tank 5 after adding the reagent per unit time.

[0170] Calculating the added value of the slurry facilitates subsequent use.

[0171] S364363: Calculate the ratio between the reagent flow rate adjustment value and the slurry increase value and use it as the reagent increase ratio value.

[0172] The increase in drug volume refers to the proportion of the increase in drug volume to the total volume.

[0173] Calculating the increase in the dosage of the medicine facilitates its subsequent use.

[0174] S364364: Based on the number of pumps in operation and the maximum power of the pumps, and in conjunction with the spray power coefficient, calculate and determine the comprehensive spray flow rate.

[0175] The comprehensive spray flow rate refers to the spray volume corresponding to operation at maximum power.

[0176] The maximum combined power is calculated by summing the maximum power of the pumps corresponding to the number of pumps in operation. Then, the quotient between the maximum power of the pumps and the spray power coefficient is calculated, and the result is used as the combined spray flow rate value for convenient subsequent use.

[0177] S364365: Calculate the ratio between the comprehensive spray flow rate and the increase in slurry volume, and use it as the spray ratio value.

[0178] The spray ratio value refers to the ratio between the comprehensive spray flow rate and the increase in slurry volume.

[0179] Calculating the spray ratio facilitates subsequent use.

[0180] S364366: Combine the increase ratio of the reagent with the spray ratio to determine the stirring power value, and output the stirring power value to the stirring device preset in the slurry tank 5 for stirring.

[0181] The stirring power value refers to the power value used to control the operation of the stirring device. The stirring device is pre-installed in the slurry tank 5 and is used to stir the desulfurization slurry.

[0182] The difference between the increase ratio of the agent and the spraying ratio is calculated as the ratio deviation value. The product of the ratio deviation value and the preset ratio deviation coefficient is then calculated, and the calculation result is used as the stirring power value. The stirring power value is then output to the stirring device preset in the slurry tank 5 for stirring, thereby accelerating the mixing of the agent.

[0183] The proportional deviation coefficient is a coefficient used to convert the proportional deviation value into a stirring power value. The proportional deviation coefficient is calculated by the operator after conducting mixing tests with different proportional deviation values ​​and selecting the minimum power required to achieve the desired mixing effect per unit time.

[0184] S36437: Adjust the power, number of pumps in operation, and pump operating power according to the spraying requirements, and determine the operation information of increasing the number of pumps or increasing the power to use as the operation information of increasing power.

[0185] When the power adjustment for spraying demand is not greater than the maximum power, it means that the power of the slurry circulation pump 9 can be directly adjusted. Therefore, the number of pumps in operation is judged by whether it is the preset benchmark number. When the number of pumps in operation is the preset benchmark number, it means that all the slurry circulation pumps 9 are in operation. Therefore, the power increase is calculated by the quotient between the power adjustment for spraying demand and the number of pumps in operation, and the power increase is used as the power increase operation information. When the number of pumps in operation is not the preset baseline number, it indicates that an idle slurry circulation pump 9 can be added for operation. Therefore, by comparing the spray demand adjustment power with the maximum power of the pump, if it is less than the preset baseline number, the spray demand adjustment power is directly used as the number of pumps to increase operation information. If it is not less than the preset baseline number, the sum of the spray demand adjustment power and the operating power of all pumps is calculated, and then the quotient between the sum and the baseline number of pumps is calculated to obtain the number of pumps to increase adjustment power. The number of pumps to increase adjustment power is combined with the baseline number of pumps to obtain the number of pumps to increase operation information. Then, the number of pumps to increase operation information or the power increase operation information is used as the power increase operation information, thereby improving the accuracy of the obtained power increase operation information.

[0186] S3644: Based on the comparison between the power adjustment and pump operating power according to the spraying demand, determine the power reduction operation information, and use the power reduction operation information as the pump selection operation information.

[0187] Among them, the power reduction operation information refers to the control information corresponding to reducing the operating power of the slurry circulation pump 9.

[0188] By analyzing the comparison results between the power adjustment for spray demand and the pump operating power, the power reduction operation information is determined, and this power reduction operation information is used as the pump selection operation information, thereby improving the accuracy of the obtained pump selection operation information.

[0189] To further ensure the rationality of the power reduction operation information, it is necessary to perform further separate analysis and calculation on the power reduction operation information, which will be explained in detail through the steps shown below.

[0190] The method for determining power reduction operation information includes the following steps:

[0191] S36441: Determine whether the spray demand adjustment power is less than the pump operating power. If yes, proceed to S36442; if no, proceed to S36448.

[0192] In this process, it is determined whether the operation of one slurry circulation pump 9 can be directly reduced by judging whether the power adjustment for spraying demand is less than the operating power of the pump body.

[0193] S36442: Retrieve the pump body operation number based on the operation data.

[0194] The pump operation number refers to the number corresponding to the slurry circulation pump 9. Different pump operation numbers correspond to different pumping heights in the slurry tank 5. The operation data includes the pump operation number.

[0195] When the power adjustment required for spraying is less than the operating power of the pump, it means that the operation of one slurry circulation pump 9 can be directly reduced. Therefore, the pump operation number can be retrieved through the operation data for convenient use later.

[0196] S36443: Determine the reagent input distance value based on the pump body operation number.

[0197] Among them, the reagent input distance value refers to the distance between the inlet of the external reagent input and the pumping position of the slurry circulation pump 9.

[0198] The pump's operating number is entered into a preset number database to match and obtain the reagent input distance value, which facilitates subsequent use.

[0199] The numbering database pre-stores a lookup table of different pump operating numbers and their corresponding reagent input distance values. The numbering database is obtained by the operator after pre-entering the information according to their needs.

[0200] S36444: Calculate the difference between the spray demand adjustment power and the pump operating power and use it as the single pump power deviation value.

[0201] Among them, the single pump power deviation value refers to the difference between the power required for spraying and the operating power of the pump.

[0202] Calculating the power deviation of a single pump facilitates subsequent use.

[0203] S36445: Determine the reference value by combining the single pump power deviation value and the reagent input distance value.

[0204] The reference value refers to the reference value used when selecting the slurry circulation pump 9.

[0205] By weighting the single-pump power deviation value with the reagent input distance value, a reference value is obtained for convenient subsequent use. The specific weights are preset according to the operator's needs.

[0206] S36446: Based on the selected reference values, sort them from largest to smallest, select the pump operation number with the first ranking as the reduction selection number, and use the single pump power deviation value corresponding to the reduction selection number as the reduction selection adjustment value.

[0207] Among them, "reduced selection number" refers to the number corresponding to the slurry circulation pump 9 after selection.

[0208] The selected reference values ​​are sorted from largest to smallest, and the pump operation number with the highest ranking is selected as the reduction selection number. The reduction selection adjustment value is defined to facilitate subsequent use.

[0209] S36447: Combine the reduction selection number with the reduction selection adjustment value and use it as power reduction operation information.

[0210] Specifically, by combining the reduced selection number with the reduced selection adjustment value, a data set of data for controlling the corresponding number of slurry circulation pump 9 and power adjustment is obtained as power reduction operation information, thereby improving the accuracy of the obtained power reduction operation information.

[0211] S36448: Calculate the quotient between the spray demand adjustment power and the number of pumps in operation and use it as a single power reduction, and use the single power reduction as power reduction operation information.

[0212] When the power adjustment for spraying demand is less than the operating power of the pump, it means that the operation of one slurry circulation pump 9 can be directly reduced. Therefore, the quotient between the power adjustment for spraying demand and the number of pumps in operation is calculated, and the calculation result is used as a single power reduction. The single power reduction is then used as power reduction operation information, thereby improving the accuracy of the obtained power reduction operation information.

[0213] S365: Determine the selected spray operation information by combining the pump body's selected operation information with the spray demand adjustment value.

[0214] Among them, the spray selection operation information refers to the operation information corresponding to the selection of spray control valve 10 for operation adjustment.

[0215] By selecting the spray control valve 10 corresponding to the slurry circulation pump 9 used in the pump body selection operation information, and then combining the spray demand adjustment value to form control parameters, which are used as spray selection operation information, it is convenient for subsequent use.

[0216] S366: Combine the pump body selection operation information with the spray selection operation information and use it as the spray adjustment control information.

[0217] In this process, by combining the pump body selection operation information with the spray selection operation information, a set of parameters is formed to control the operation of the spray control valve 10 and the slurry circulation pump 9 respectively, which is then used as spray adjustment control information, thereby improving the accuracy of the obtained spray adjustment control information.

[0218] S4: Predict the trend of pollutant concentration change per unit time based on flue gas output detection information.

[0219] Here, "unit time" refers to a pre-set concentration trend prediction period. The pollutant concentration change trend refers to the dynamic evolution characteristics of sulfur dioxide dust concentration in flue gas within that pre-set unit time period.

[0220] By collecting flue gas output detection information over a historical period and inputting it into a preset LSTM neural network + random forest hybrid prediction model, the trend of pollutant concentration changes can be obtained, which is convenient for subsequent use.

[0221] S5: Combine pollutant concentration trends and reagent detection information to conduct cost-optimization analysis in order to obtain early adjustment strategies.

[0222] Among them, the advance adjustment strategy refers to the system control plan formulated in advance to cope with future changes in operating conditions and avoid subsequent emissions exceeding standards or cost waste.

[0223] The input cost of the reagent is calculated based on the reagent detection information, and S3 is re-executed according to the pollutant concentration change trend to form the corresponding compensation and adjustment strategy. The operating power of the slurry circulation pump 9 is retrieved to calculate the operating cost of the compensation and adjustment strategy. The input cost of the reagent and the operating cost are summed and used as the comprehensive cost. Then, compensation and adjustment strategies corresponding to different numbers of slurry circulation pumps 9, different operating powers, and different input flow rates of reagent regulating valves 13 are constructed. The compensation and adjustment strategy with the lowest comprehensive cost is selected as the advance adjustment strategy.

[0224] S6: Combine the compensation adjustment strategy and the advance adjustment strategy to generate the final adjustment strategy, and execute the final adjustment strategy to make real-time dynamic adjustments to the spray control valve 10, the slurry circulation pump 9 and the chemical regulating valve 13.

[0225] The final adjustment strategy refers to the control plan formulated under the premise of ensuring no control conflicts and taking into account both current emission compliance and future trend predictions. The final adjustment strategy includes specific operating instructions (such as valve opening, pump operating mode, flow / power parameters) for the spray control valve 10, slurry circulation pump 9, and chemical regulating valve 13.

[0226] By comparing the specific operational instructions of the compensation adjustment strategy and the advance adjustment strategy, and taking the principle of prioritizing emission compliance and optimizing costs, the advance adjustment strategy is adopted as the final adjustment strategy when its instructions can cover the compensation adjustment strategy. When the instructions of the advance adjustment strategy cannot cover the compensation adjustment strategy, the compensation adjustment strategy is adopted as the final adjustment strategy. The final adjustment strategy is then executed to dynamically adjust the spray control valve 10, slurry circulation pump 9, and chemical regulating valve 13 in real time. This achieves the goal of prioritizing emission compliance while minimizing costs, thus effectively responding to fluctuations in operating conditions, ensuring stable compliance of flue gas emissions, and reducing operating costs during flue gas purification.

[0227] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. An artificial intelligence dynamically regulated desulfurization and dust removal integrated tower, characterized in that: The desulfurization tower (1) is used for desulfurizing the raw flue gas, and the wet electric dust collector (2) is vertically arranged above the desulfurization tower (1) and used for dedusting the raw flue gas. The side wall of the desulfurization tower (1) is provided with a raw flue duct (3) for the raw flue gas to enter, the side of the wet electric dust collector (2) away from the desulfurization tower (1) is provided with an outlet flue (4) for the purified flue gas to output, and the side of the desulfurization tower (1) away from the wet electric dust collector (2) is provided with a slurry pool (5) for placing the desulfurization slurry. The desulfurization tower (1) is provided with a porous tray (6) for stabilizing the flue gas flow field, a multi-stage spraying device (7) for spraying the desulfurization slurry, and a demister (8) for intercepting mist droplets from bottom to top.

2. The artificial intelligence dynamically regulated desulfurization and dust removal integrated tower according to claim 1, characterized in that: The multi-stage spraying device (7) and the slurry pool (5) are provided with a slurry circulating pump (9) for recycling the desulfurization slurry.

3. The artificial intelligence dynamically regulated desulfurization and dust removal integrated tower according to claim 2, characterized in that: The wet electric dust collector (2) is provided with a wet electric washing water control valve (11) for controlling the flow of the spraying washing water, and the demister (8) is provided with a demisting washing water control valve (12) for controlling the flow of the spraying washing water.

4. A method for dynamically regulating desulfurization control by artificial intelligence, characterized in that, The desulfurization tower (1) is provided with a medicament adjusting valve (13) for controlling the input flow of the external medicament. Further comprising a collecting module for collecting running data in real time and a control module (17) for dynamic regulation, the control module (17) is electrically connected with the collecting module to receive the running data and output the final adjustment strategy to the spraying control valve (10), the slurry circulating pump (9) and the medicament adjusting valve (13), so as to dynamically regulate the desulfurization slurry and the external medicament. The application is applied to the artificial intelligence dynamic regulation desulfurization and dust removal integrated tower of claim 3, comprising: S1: collecting running data in real time, the running data comprising flue gas input detection information, flue gas output detection information, desulfurization slurry detection information, medicament detection information, pump body specification parameters, pump body running number, pump body running power and pump body running number; S2: based on the running data, the flue gas input detection information, the flue gas output detection information, the desulfurization slurry detection information and the medicament detection information are retrieved; S3: according to the comparison result of the flue gas output detection information and the preset flue gas output reference information, a compensation adjustment strategy is determined; S4: according to the flue gas output detection information, a pollutant concentration change trend in a preset unit time is predicted; 5. The artificial intelligence dynamically regulated desulfurization control method according to claim 4, characterized in that, S5: the pollutant concentration change trend and the medicament detection information are combined for cost optimization analysis to obtain an advance adjustment strategy; S6: the compensation adjustment strategy and the advance adjustment strategy are combined to generate a final adjustment strategy, and the final adjustment strategy is executed to dynamically adjust the spraying control valve (10), the slurry circulating pump (9) and the medicament adjusting valve (13) in real time. The determination method of the compensation adjustment strategy comprises: S31: retrieve slurry real-time PH value and slurry real-time density value based on desulfurization slurry detection information; S32: determine spray adjustment reference value in combination with slurry real-time PH value and slurry real-time density value; S33: analyze deviation between flue gas output detection information and preset flue gas output reference information as flue gas output deviation information; S34: retrieve outlet dust concentration deviation value based on flue gas output deviation information; S35: calculate quotient value between outlet dust concentration deviation value and spray adjustment reference value as spray demand adjustment value; S36: determine spray adjustment control information according to spray demand adjustment value, and output spray adjustment control information to the spray control valve (10) and the slurry circulating pump (9) to perform spray adjustment as compensation adjustment strategy.

6. The artificial intelligence dynamically regulated desulfurization control method according to claim 5, characterized in that, The determination method of the spray adjustment control information comprises: S361: retrieve pump body specification parameter, pump body operation number and pump body operation power of the slurry circulating pump (9) based on operation data; S362: determine spray power coefficient by querying preset specification database according to the pump body specification parameter; S363: calculate product value between the spray demand adjustment value and the spray power coefficient as spray demand adjustment power; S364: determine pump body selected operation information in combination with the spray demand adjustment power, the pump body operation number and the pump body operation power; S365: determine spray selected operation information in combination with the pump body selected operation information and the spray demand adjustment value; S366: combine the pump body selected operation information and the spray selected operation information as the spray adjustment control information.

7. The artificial intelligence dynamically regulated desulfurization control method according to claim 6, characterized in that, The determination method of the pump body selected operation information comprises: S3641: determine whether the spray demand adjustment power is a positive value; S3642: if yes, determine pump body maximum power by querying preset specification database according to the pump body specification parameter; S3643: determine power increase operation information according to the comparison result between the spray demand adjustment power and the pump body maximum power, and take the power increase operation information as the pump body selected operation information; S3644: if no, determine power decrease operation information according to the comparison result between the spray demand adjustment power and the pump body operation power, and take the power decrease operation information as the pump body selected operation information.

8. The artificial intelligence dynamically regulated desulfurization control method according to claim 7, characterized in that, The determination method of the power increase operation information comprises: S36431: calculate comprehensive maximum power in combination with the pump body operation number, the pump body operation power and the pump body maximum power; S36432: determine whether the spray demand adjustment power is greater than the comprehensive maximum power; S36433: if yes, calculate difference value between the spray demand adjustment power and the comprehensive maximum power as adjustment lacking power; S36434: determine concentration adjustment value in combination with the adjustment lacking power and the spray adjustment reference value; S36435: determine reagent flow adjustment value in combination with the concentration adjustment value and the reagent detection information; S36436: take the comprehensive maximum power as the power increase operation information, and output the reagent flow adjustment value to the reagent adjusting valve (13) to perform real-time dynamic adjustment to join the compensation adjustment strategy. S36437: If no, then adjust the power, the number of pump body running, the pump body running power in combination with the spray demand, determine the number of increase running information or power average increase running information as power increase running information.

9. The artificial intelligence dynamically regulated desulfurization control method according to claim 8, characterized in that, The output of the medicament flow adjustment value to the medicament regulating valve (13) is real-time dynamic adjustment to add compensation adjustment strategy, which further includes: S364361: Based on the desulfurization slurry detection information, the total volume of the slurry is retrieved; S364362: Calculate the sum value between the total volume of the slurry and the medicament flow adjustment value as the slurry increase value; S364363: Calculate the ratio value between the medicament flow adjustment value and the slurry increase value as the medicament increase ratio value; S364364: According to the number of pump body running and the maximum power of the pump body, and in combination with the spray power coefficient, the comprehensive spray flow value is calculated and determined; S364365: Calculate the ratio value between the comprehensive spray flow value and the slurry increase value as the spray ratio value; S364366: Combine the medicament increase ratio value and the spray ratio value to determine the stirring power value, and output the stirring power value to the stirring device preset in the slurry pool (5) to perform stirring.

10. The artificial intelligence dynamically regulated desulfurization control method according to claim 8, characterized in that, The determination method of the power reduction running information includes: S36441: Determine whether the spray demand adjustment power is less than the pump body running power; S36442: If yes, retrieve the pump body running number based on the running data; S36443: Determine the medicament input distance value according to the pump body running number; S36444: Calculate the difference value between the spray demand adjustment power and the pump body running power as the single pump power deviation value; S36445: Combine the single pump power deviation value and the medicament input distance value to determine the selected reference value; S36446: Based on the selected reference value, sort from large to small, and select the first pump body running number as the reduction selection number, and the single pump power deviation value corresponding to the reduction selection number as the reduction selection adjustment value; S36447: Combine the reduction selection number and the reduction selection adjustment value as the power reduction running information; S36448: If no, calculate the quotient value between the spray demand adjustment power and the number of pump body running as the single reduction power, and take the single reduction power as the power reduction running information.

Citation Information

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