Multi-pollutant collaborative purification method and device, program product and storage medium

Abstract

The invention discloses a multi-pollutant collaborative purification method, equipment, a program product and a storage medium, and relates to the technical field of industrial flue gas purification. The method comprises the following steps: calculating a first treating agent adding parameter according to first pollutant concentration data; second pollutant concentration data; according to the second pollutant concentration data, a second treating agent adding parameter is calculated, pressure difference data and flow data in the adding process are obtained, and second flue gas data of second-stage flue gas obtained after ash removal treatment is conducted on the first-stage flue gas according to the pressure difference data and the flow data are obtained; performing temperature regulation and catalytic control on the second-stage flue gas according to the second flue gas data to obtain final purified flue gas data; converging the first pollutant concentration data, the second pollutant concentration data and the final purified flue gas data to obtain converged data; and adjusting a first treatment agent adding parameter and a second treatment agent adding parameter according to the aggregation data so as to realize collaborative purification. By implementing the technical scheme provided by the invention, the overall flue gas purification accuracy can be improved.

Description

Technical Field

[0001] This application relates to the technical field of industrial flue gas purification, specifically to a method, equipment, process product, and storage medium for the synergistic purification of multiple pollutants. Background Technology

[0002] With increasingly stringent environmental standards, the purification and treatment of industrial flue gas has become a key area in air pollution control. Flue gas typically contains various pollutants such as particulate matter, sulfur oxides, and nitrogen oxides, requiring comprehensive purification through multi-stage treatment processes.

[0003] Existing multi-pollutant flue gas purification technologies typically employ a staged treatment approach, including sequentially arranged desulfurization, denitrification, dust removal, and catalytic purification units. In actual operation, the total pollutant load of the raw flue gas is monitored, and the dosage of each treatment agent is determined according to a pre-set distribution ratio, ensuring that each treatment unit operates under its design conditions. This method allows for the overall adjustment of the multi-stage treatment system's operational intensity based on the inlet flue gas pollution level, enabling the treatment of flue gas with varying loads.

[0004] However, this control mode, which allocates the dosage of each treatment agent according to the inlet load, is limited in its ability to guide the setting of subsequent treatment agent dosages when dealing with flue gas with large fluctuations in the proportion of multiple pollutant components. The dosage of each treatment agent is mainly determined based on the total inlet load and the preset allocation ratio. The actual purification effect of each stage is limited in its ability to guide the setting of subsequent treatment agent dosages, resulting in insufficient overall purification accuracy. Summary of the Invention

[0005] This application provides a method, device, program product, and storage medium for the synergistic purification of multiple pollutants, which can improve the overall accuracy of flue gas purification.

[0006] The first aspect of this application provides a method for synergistic purification of multiple pollutants, specifically including: Obtain the first pollutant concentration data of the raw flue gas, and calculate the first treatment agent dosing parameters based on the first pollutant concentration data; Obtain the second pollutant concentration data of the first-stage flue gas after the original flue gas has been purified according to the first treatment agent dosing parameters; Calculate the second treatment agent dosing parameters based on the second pollutant concentration data, obtain the pressure difference data and flow rate data during the dosing process according to the second treatment agent dosing parameters, and obtain the second flue gas data of the second stage flue gas after the first stage flue gas is cleaned based on the pressure difference data and the flow rate data; Based on the second flue gas data, the temperature of the second stage flue gas is adjusted and the catalytic control is performed to obtain the final purified flue gas data; The first pollutant concentration data, the second pollutant concentration data, and the final purified flue gas data are combined to obtain aggregated data; The first and second treatment agent dosing parameters are adjusted based on the aggregated data to achieve synergistic purification.

[0007] By adopting the above technical solution, the concentration data of the first pollutant in the raw flue gas and the concentration data of the second pollutant in the first-stage flue gas are obtained. The dosing parameters of the first and second treatment agents are then calculated. During the treatment process, differential pressure data, flow rate data, and the final purified flue gas data are acquired. These data are aggregated and used to adjust the dosing parameters of the first and second treatment agents, thereby achieving synergistic optimization of the parameters of the preceding and following stages of treatment. This solution no longer determines the dosage of each treatment agent solely based on the total inlet load and preset allocation ratio, but rather dynamically adjusts the treatment parameters of each stage based on comprehensive feedback from multi-stage actual purification effect data, improving the accuracy of the multi-pollutant synergistic purification process.

[0008] Optionally, the step of acquiring differential pressure data and flow rate data during the dosing process according to the second treatment agent dosing parameters, and acquiring second flue gas data for the second stage flue gas obtained after cleaning the first stage flue gas based on the differential pressure data and the flow rate data, includes: Obtain the first stage flue gas temperature data, calculate the temperature pre-adjustment parameters based on the first stage flue gas temperature data, and obtain the pre-adjusted flue gas data; Calculate the reaction product flue gas data during the addition process based on the pre-conditioned flue gas data and the second treatment agent addition parameters; The adsorbent addition parameters are calculated based on the reaction product flue gas data to obtain flue gas data containing adsorbent products; Obtain the differential pressure data and flow rate data corresponding to the flue gas data containing adsorbed products. Calculate the resistance coefficient based on the differential pressure data and the flow rate data. When the resistance coefficient reaches the dust removal start-up condition, calculate the dust removal parameters of the first separation unit and the second separation unit based on the resistance coefficient and the differential pressure data. Obtain the second-stage flue gas data after dust removal treatment of the flue gas data containing adsorbed products based on the first separation unit dust removal parameters and the second separation unit dust removal parameters.

[0009] By adopting the above technical solution, the temperature is first pre-regulated using the first-stage flue gas temperature data. Then, the reaction product flue gas data is calculated based on the pre-regulated flue gas data and the second treatment agent addition parameters. Subsequently, the adsorbent addition parameters are determined based on the reaction product flue gas data. The resistance coefficient is calculated by monitoring the pressure difference and flow data of the flue gas containing adsorbent products. When the dust removal start-up conditions are met, the dust removal parameters of the two-stage separation units are calculated for dust removal treatment. This achieves refined step-by-step control of the flue gas treatment process, enabling the process parameters of each treatment link to be dynamically adjusted according to the actual operating status, further improving the accuracy of flue gas purification.

[0010] Optionally, when the resistance coefficient reaches the dust removal start-up condition, the dust removal parameters of the first separation unit and the second separation unit are calculated based on the resistance coefficient and the pressure difference data, and second-stage flue gas data after dust removal treatment of the flue gas data containing adsorbed products based on the first separation unit dust removal parameters and the second separation unit dust removal parameters is obtained, including: The resistance coefficient is compared and analyzed with the reference value of the resistance coefficient in the historical operating cycle. When the resistance coefficient exceeds a preset multiple of the reference value of the resistance coefficient, it is determined that the dust cleaning start condition has been met. Calculate the difference between the resistance coefficient and the reference value of the resistance coefficient, and calculate the dust removal parameters of the first separation unit based on the pressure difference data and the difference; Obtain the post-cleaning pressure difference data of the first separation unit after cleaning the flue gas containing adsorbed products according to the cleaning parameters of the first separation unit; The cleaning effect of the first separation unit is determined based on the change in the differential pressure data after cleaning. Once the dust removal effect meets the preset recovery conditions, the dust removal parameters of the second separation unit are calculated based on the pressure difference data after dust removal and the resistance coefficient. Obtain second-stage flue gas data after further cleaning of the flue gas data after the cleaning process of the first separation unit, based on the cleaning parameters of the second separation unit.

[0011] By adopting the above technical solution, the timing of dust removal is determined by comparing the current resistance coefficient with the benchmark value in the historical operating cycle. The dust removal parameters of the first separation unit are calculated based on the difference between the resistance coefficient and the benchmark resistance coefficient and the differential pressure data. After the dust removal of the first separation unit is completed, the dust removal effect is evaluated by the change in differential pressure data. When the preset recovery conditions are met, the dust removal parameters of the second separation unit are calculated based on the differential pressure data and resistance coefficient after dust removal for further dust removal. This achieves refined control of the graded dust removal process, avoids the problem of unsatisfactory dust removal effect caused by unreasonable dust removal parameter settings, and ensures the stable operation of the flue gas purification system.

[0012] Optionally, the step of adjusting the temperature and controlling the catalytic reaction of the second-stage flue gas based on the second flue gas data to obtain the final purified flue gas data includes: Collect inlet temperature data of the flue gas entering the catalytic unit in the second stage and catalyst activity temperature range data; The temperature compensation amount is calculated based on the deviation between the inlet temperature data and the catalyst activity temperature range data. The temperature adjustment parameter is calculated based on the temperature compensation amount. The temperature adjustment parameter is used to adjust the temperature of the second stage flue gas data to obtain the catalyst inlet flue gas data. When the actual temperature data corresponding to the catalytic inlet flue gas data is within the catalyst activity temperature range, the catalytic reaction flue gas data after the catalytic inlet flue gas undergoes catalytic reaction treatment is obtained. Based on the residual pollutant concentration data in the catalytic reaction flue gas data, adjust the heat exchange power parameters and residence time parameters corresponding to the catalytic reaction to reduce the residual pollutant concentration to a preset target range, thereby obtaining deeply purified flue gas data. Calculate waste heat recovery parameters based on the deep-purified flue gas data, and obtain the final purified flue gas data after waste heat recovery treatment of the deep-purified flue gas data based on the waste heat recovery parameters.

[0013] By adopting the above technical solution, the inlet temperature data of the second-stage flue gas and the catalyst activity temperature range data are collected. The temperature compensation is calculated based on the deviation between the two, and the temperature is adjusted accordingly to ensure that the inlet flue gas temperature is within the catalyst activity temperature range. At the same time, the heat exchange power parameters and residence time parameters are dynamically adjusted based on the residual pollutant concentration data in the catalytic reaction flue gas until the residual pollutant concentration reaches the preset target range. Finally, the heat utilization of the deeply purified flue gas is realized through the calculation and control of waste heat recovery parameters. This not only ensures the optimal temperature conditions for the catalytic reaction, but also achieves deep purification of pollutants and efficient energy recovery, further improving the overall flue gas purification accuracy and system operating efficiency.

[0014] Optionally, the step of calculating waste heat recovery parameters based on the deep-purified flue gas data and obtaining the final purified flue gas data after waste heat recovery processing of the deep-purified flue gas data based on the waste heat recovery parameters includes: Obtain the inlet temperature data and outlet temperature target data of the waste heat recovery device corresponding to the deep-purified flue gas data; The heat recovery amount and the flow rate parameters of the heat exchange medium are calculated based on the inlet temperature data and the outlet temperature target data, and used as waste heat recovery parameters. The flow rate of the heat exchange medium in the waste heat recovery device is controlled according to the waste heat recovery parameters so that the waste heat of the deeply purified flue gas can be recovered. The actual heat absorption power of the heat exchange medium is calculated based on the inlet temperature data and outlet temperature data of the heat exchange medium during the waste heat recovery process. The theoretical heat absorption power is calculated based on the heat energy recovery amount. When the power deviation between the actual heat absorption power and the theoretical heat absorption power exceeds a preset threshold, the flow parameters of the heat exchange medium are adjusted so that the power deviation is less than the preset deviation threshold, and the final purified flue gas data is obtained.

[0015] By adopting the above technical solution, the heat recovery amount and heat exchange medium flow parameters are calculated based on the inlet temperature data and outlet temperature target data of the deeply purified flue gas. The actual heat absorption power is calculated by monitoring the inlet and outlet temperature data of the heat exchange medium. When the deviation between the actual heat absorption power and the theoretical heat absorption power exceeds the preset threshold, the heat exchange medium flow parameters are adjusted in a timely manner. This achieves precise control of the waste heat recovery process, ensuring that the system maximizes heat recovery and utilization while meeting the flue gas purification requirements, and further improves the overall system operating efficiency.

[0016] Optionally, adjusting the flow rate parameter of the heat exchange medium when the power deviation between the actual heat absorption power and the theoretical heat absorption power exceeds a preset threshold includes: Calculate the power deviation between the actual heat absorption power and the theoretical heat absorption power; When the power deviation exceeds a preset threshold, the flow rate adjustment amount is calculated based on the power deviation and the current flow rate of the heat exchange medium, and the flow rate parameter of the heat exchange medium is adjusted based on the flow rate adjustment amount. The inlet and outlet temperature data of the heat exchange medium are re-acquired, and the actual heat absorption power is recalculated. The process is iteratively adjusted until the power deviation is reduced to within the preset threshold.

[0017] By adopting the above technical solution, the flow rate adjustment is calculated based on the power deviation between the actual heat absorption power and the theoretical heat absorption power. The flow rate parameters of the heat exchange medium are then dynamically adjusted based on this flow rate adjustment. The actual heat absorption power is recalculated by continuously monitoring the inlet and outlet temperature data of the heat exchange medium, forming a closed-loop iterative adjustment until the power deviation is reduced to within the preset threshold. This achieves precise adjustment of the flow rate parameters of the heat exchange medium, ensures the efficient and stable operation of the waste heat recovery system, and further improves the overall operating efficiency of the flue gas treatment system.

[0018] Optionally, adjusting the first and second treatment agent dosing parameters based on the aggregated data to achieve synergistic purification includes: Time-series correlation analysis was performed on the aggregated data to extract the trends in concentration and operating status of multiple pollutants. The synergistic purification efficiency of the current ratio of the first treatment agent dosing parameter to the second treatment agent dosing parameter is calculated based on the changing trends of the concentrations of the multiple pollutants and the changing trends of the operating status. The synergistic purification efficiency is compared with the historical best synergistic purification efficiency; When the synergistic purification efficiency is lower than the historical best synergistic purification efficiency, the optimal treatment agent ratio is calculated based on the correlation between the first pollutant concentration data and the second pollutant concentration data. Adjust the dosing parameters of the first and second treatment agents according to the optimal treatment agent ratio to achieve synergistic purification of multiple pollutants.

[0019] By adopting the above technical solution, time-series correlation analysis is performed on the aggregated data to extract the changing trends of multi-pollutant concentrations and operating status. The synergistic purification efficiency of the current treatment agent ratio is calculated and compared with the historical best efficiency. When the efficiency decreases, the optimal treatment agent ratio is calculated based on the correlation of pollutant concentration data, and the treatment agent addition parameters are adjusted accordingly. This achieves dynamic optimization of the treatment agent ratio, avoids the problem that the overall purification efficiency may be unsatisfactory if the treatment agent dosage is adjusted independently based on the concentration of pollutants at each level, and ensures the efficient operation of the multi-pollutant synergistic purification process.

[0020] In a second aspect, this application provides a multi-pollutant synergistic purification device, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code, which includes computer instructions, and the one or more processors call the computer instructions to cause the multi-pollutant synergistic purification device to perform the method described in the first aspect and any possible implementation thereof.

[0021] Thirdly, this application provides a computer program product containing instructions that, when the computer program product is run on a multi-pollutant synergistic purification device, cause the multi-pollutant synergistic purification device to perform the method described in the first aspect and any possible implementation thereof.

[0022] Fourthly, this application provides a computer-readable storage medium including instructions that, when executed on a multi-pollutant synergistic purification device, cause the multi-pollutant synergistic purification device to perform the method described in the first aspect and any possible implementation thereof. Attached Figure Description

[0023] Figure 1 This is a schematic flowchart of a multi-pollutant synergistic purification method provided in an embodiment of this application; Figure 2This is a schematic diagram of the overall system structure and data flow provided in an embodiment of this application; Figure 3 This is an exemplary hardware structure diagram of a multi-pollutant synergistic purification device provided in an embodiment of this application. Detailed Implementation

[0024] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0025] In the description of the embodiments of this application, the words "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design that is described as "for example" or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Rather, the use of the words "for example" or "for instance" is intended to present the relevant concepts in a specific manner.

[0026] In the description of the embodiments of this application, the term "multiple" means two or more. For example, multiple systems means two or more systems, and multiple screen terminals means two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0027] This application provides a method for synergistic purification of multiple pollutants, referring to... Figure 1 , Figure 1 This is a schematic flowchart of a multi-pollutant synergistic purification method provided in an embodiment of this application, including steps S101 to S106, as follows: S101: Obtain the first pollutant concentration data of the raw flue gas, and calculate the first treatment agent dosing parameters based on the first pollutant concentration data.

[0028] Here, raw flue gas refers to industrial exhaust gas that has not undergone any treatment before entering the purification system, containing various pollutants that need to be purified. The first pollutant concentration data represents the content of a specific type of pollutant in the raw flue gas, usually characterized by mass concentration or volume concentration, such as a sulfur oxide concentration of 500 mg / m³. The first treatment agent dosing parameters represent the dosing control information of the treatment agent in the first-stage treatment unit, including parameters such as dosing rate, dosing speed, and concentration, such as a desulfurizing agent dosing rate of 200 kg per hour.

[0029] Specifically, a concentration detection device installed in the flue gas inlet duct collects the concentration of the first pollutant in the raw flue gas in real time. The detection device converts the concentration signal into a digital signal and transmits it to the control system. After receiving the first pollutant concentration data, the control system calculates parameters according to a preset treatment agent dosage calculation model. This calculation model comprehensively considers factors such as pollutant concentration, flue gas flow rate, and treatment agent reaction efficiency, and determines the required treatment agent dosage through a mass balance formula. Then, combined with the conveying capacity of the dosing equipment and the residence time of the reactor, it calculates parameters such as the dosing rate and concentration, thus forming complete first treatment agent dosing parameters.

[0030] In some embodiments, the calculation of the first treatment agent dosing parameters can be achieved in several ways: Optionally, a linear relationship model between the concentration of the first pollutant and the required amount of treatment agent is first established, then the theoretical dosing amount is calculated by substituting the currently detected concentration data of the first pollutant into the model, and finally, the actual dosing parameters are obtained by combining the flue gas flow data and the purity coefficient of the treatment agent; Optionally, treatment agent dosing records under similar concentration conditions are first read from the historical operating database, then the initial dosing parameters corresponding to the current concentration are calculated by interpolation algorithm, and finally, the final dosing parameters are obtained by dynamically adjusting based on the treatment agent activity data and reaction temperature conditions. It is understood that other methods can also be used to calculate the first treatment agent dosing parameters, which are not limited here.

[0031] S102: Obtain the second pollutant concentration data of the first-stage flue gas after the original flue gas has been purified according to the first treatment agent addition parameters.

[0032] The first-stage flue gas refers to the flue gas output after the original flue gas has been purified by the first-stage treatment unit, at which point the concentration of the first pollutant has been reduced. The second pollutant concentration data represents the content information of another type of pollutant in the first-stage flue gas. This pollutant type is different from the first pollutant; for example, if the first pollutant is sulfur oxides, the second pollutant could be nitrogen oxides. Purifying the original flue gas according to the first treatment agent dosing parameters means controlling the treatment agent dosing device to add treatment agent into the reactor according to the dosing parameters calculated in step S101, so that the treatment agent reacts with the first pollutant in the original flue gas.

[0033] Specifically, the first-stage treatment unit controls a dosing pump or feeder to deliver the treatment agent into the reactor according to the set dosage and dosing rate, based on the first treatment agent dosing parameters. The treatment agent mixes thoroughly with the raw flue gas and undergoes a chemical reaction or physical adsorption. After a preset reaction time, the first-stage flue gas is formed and discharged from the reactor outlet. A second pollutant concentration detection device is installed at the outlet pipe of the first-stage treatment unit. This detection device uses the same or different detection principle as the first pollutant detection device to monitor the concentration change of the second pollutant in the first-stage flue gas in real time. The detection device converts the concentration signal into data and transmits it to the control system to obtain the second pollutant concentration data.

[0034] In some embodiments, the acquisition of the concentration data of the second pollutant in the first-stage flue gas can be achieved in several ways: Optionally, an online gas analyzer is first installed at the outlet of the first-stage treatment unit, and then the first-stage flue gas is introduced into the detection chamber of the analyzer for component analysis via a sampling pump. Finally, the analyzer outputs the real-time concentration value of the second pollutant and transmits it to the data acquisition module. Optionally, a probe-type concentration sensor is first arranged in the outlet flue, and then the sensor directly measures the concentration signal of the second pollutant in the flue gas based on optical absorption or electrochemical principles. Finally, the analog signal is converted into digital data by a signal converter and stored in the control system. It is understood that other methods can also be used to acquire the concentration data of the second pollutant, which are not limited here.

[0035] S103: Calculate the second treatment agent dosing parameters based on the second pollutant concentration data, obtain the pressure difference data and flow rate data during the dosing process according to the second treatment agent dosing parameters, and obtain the second flue gas data after the first stage flue gas is cleaned based on the pressure difference data and flow rate data to obtain the second stage flue gas.

[0036] The second treatment agent dosing parameters represent the dosing control information of the treatment agent in the second-stage treatment unit, including parameters such as dosing amount and dosing rate. Differential pressure data refers to the pressure difference before and after the flue gas flows through the treatment equipment, usually expressed in Pascals or kilopascals, for example, a pressure difference of 1200 Pa between the inlet and outlet of the equipment. Flow rate data represents the volume or mass of flue gas passing through the equipment per unit time, for example, a flue gas volumetric flow rate of 50,000 cubic meters per hour. Second-stage flue gas refers to the flue gas after the second-stage treatment and ash removal treatment. Second-stage flue gas data represents the composition and state information of the second-stage flue gas, including parameters such as pollutant concentration, temperature, and pressure.

[0037] Specifically, based on the second pollutant concentration data, the control system determines parameters such as the dosage and acceleration rate of the second treatment agent using a calculation model similar to that in step S101, thus forming the second treatment agent dosage parameters. During the addition of the treatment agent to the second-stage treatment unit according to these parameters, pressure differential data and flow rate data are collected by pressure sensors and flow sensors installed at the inlet and outlet of the treatment equipment, respectively. The control system calculates the equipment's resistance coefficient based on the pressure differential data and flow rate data. When the resistance coefficient reaches the preset dust removal start-up conditions, the dust removal device is activated to perform a dust removal operation on the treatment equipment, removing particulate matter and reaction products adhering to the filter media or the inner wall of the reactor. After dust removal is completed, the first-stage flue gas continues to pass through the treatment equipment to form the second-stage flue gas. The composition and state information of the second-stage flue gas are collected by a detection device installed at the outlet of the second-stage treatment unit to obtain the second flue gas data.

[0038] In some embodiments, the acquisition of second-stage flue gas data can be achieved in several ways: Optionally, firstly, the theoretical dosage of the second treatment agent is calculated based on the second pollutant concentration data and flue gas flow rate. Then, the actual dosage parameters are obtained by combining the reaction activity coefficient of the treatment agent and the flue gas temperature. Finally, during the dosage process, data is collected in real time by differential pressure sensors and flow sensors, and a cleaning procedure is triggered based on the change in the drag coefficient. After cleaning, the second flue gas data is acquired by a multi-parameter detector. Optionally, firstly, a correspondence table between the second pollutant concentration and the dosage of the treatment agent is established. Then, the dosage parameter range corresponding to the current concentration is determined by looking up the table. Finally, the changing trends of differential pressure and flow rate are monitored during the dosage process. When the rate of increase of differential pressure exceeds the threshold, pulse cleaning or backflushing cleaning is initiated. After cleaning, the component concentration and physical parameters of the second-stage flue gas are measured by an online analyzer to form the second flue gas data. It is understood that other methods can also be used to calculate the dosage parameters and acquire the second flue gas data, which are not limited here.

[0039] S104: Based on the second flue gas data, the temperature of the second stage flue gas is adjusted and the catalytic control is performed to obtain the final purified flue gas data.

[0040] Temperature regulation refers to the process of changing the flue gas temperature to a specific range using heating or cooling devices. Catalytic control refers to the process of promoting the chemical transformation of residual pollutants in the flue gas through the action of a catalyst; the catalyst needs to be within a specific temperature range to exert its catalytic activity. Final purified flue gas data represents the composition and state information of the emitted flue gas after all treatment processes, including parameters such as the final concentration, temperature, and pressure of various pollutants, for example, nitrogen oxide concentration reduced to 30 mg / m³ and temperature at 120 degrees Celsius.

[0041] Specifically, the control system determines whether the second-stage flue gas meets the temperature requirements for entering the catalytic converter based on the temperature and pollutant concentration information in the second flue gas data. If the temperature of the second-stage flue gas is lower than the lower limit of the catalyst's active temperature range, the flue gas is heated through a heat exchanger or heater; if the temperature is higher than the upper limit of the active temperature range, the flue gas is cooled through a cooler or waste heat recovery device to adjust the flue gas temperature to the optimal reaction temperature range of the catalyst. After temperature adjustment, the flue gas enters the catalytic reactor, where residual pollutants undergo oxidation-reduction reactions under the action of the catalyst, transforming into harmless substances. A detection device installed at the outlet of the catalytic reactor collects information such as pollutant concentration and temperature of the flue gas after the catalytic reaction. Based on the residual pollutant concentration, it determines whether the emission standards are met. If not, the catalytic reaction conditions, such as residence time or reaction temperature, are adjusted. The flue gas that meets the standards undergoes waste heat recovery treatment to form the final purified flue gas. The detection device collects its complete composition and state information to obtain the final purified flue gas data.

[0042] In some embodiments, temperature regulation and catalytic control can be achieved in several ways: Optionally, firstly, the temperature value in the second flue gas data is read and compared with the lower limit of the catalyst activity temperature range. Then, the required heating power is calculated based on the temperature difference, and an electric heater or gas heater is controlled to raise the temperature of the flue gas. Finally, the flue gas is monitored after heating as it enters the catalytic reactor, and the degree of catalytic reaction is controlled by adjusting the residence time of the flue gas in the reactor. After the reaction, the pollutant concentration is measured by a tail gas analyzer to obtain the final purified flue gas data. Optionally, firstly, the second-stage flue gas is preheated using high-temperature flue gas through a heat exchanger. Then, based on the deviation between the preheated temperature and the target temperature, heat is supplemented through an auxiliary heating device. Finally, during the catalytic reaction, the reaction conditions are optimized by adjusting the catalyst bed temperature distribution and flue gas flow rate. After the reaction, the flue gas is cooled to the emission temperature through a waste heat recovery device, and the final purified flue gas data is collected by a multi-parameter monitoring system. It is understood that other methods can also be used to achieve temperature regulation and catalytic control, which are not limited here.

[0043] S105: Aggregate the concentration data of the first pollutant, the concentration data of the second pollutant, and the final purified flue gas data to obtain aggregated data.

[0044] In this context, aggregation refers to the process of integrating multiple data sets from different processing stages into a unified data structure. The first pollutant concentration data, the second pollutant concentration data, and the final purified flue gas data come from steps S101, S102, and S104, respectively, representing monitoring information for different locations and different pollutants during the flue gas purification process. Aggregated data is used to represent the comprehensive dataset formed after integrating the above multiple data sources. This dataset contains information on pollutant concentration changes and operational status from the raw flue gas to the final purified flue gas. For example, aggregated data includes multi-dimensional information such as timestamps, pollutant concentration values ​​at each level, treatment agent dosage, and equipment operating parameters.

[0045] Specifically, the control system reads the first pollutant concentration data obtained in step S101, the second pollutant concentration data obtained in step S102, and the final purified flue gas data obtained in step S104 from the data acquisition module. The system correlates these data in chronological order to ensure that data from the same batch of flue gas at different treatment stages can be matched. A unified data format and time base are used for data aggregation, integrating pollutant concentration values, temperature values, pressure values, and other parameters from various data sources into the same data table or database. Simultaneously, it correlates information such as treatment agent dosing parameters and equipment operating status at each stage to form aggregated data containing information from the entire process.

[0046] In some embodiments, data aggregation can be achieved in multiple ways: Optionally, a unified data table structure is first established in the control system, which includes time fields, pollutant concentration fields at various levels, and processing parameter fields. Then, real-time data is read from each data acquisition point and written into the corresponding fields according to the sampling timestamp. Finally, complete records within a specified time period are extracted using database query statements to form aggregated data. Optionally, data from each sensor and detection device is first transmitted to a data aggregation server via a data bus. The server then classifies and organizes the data according to the data source identifier and time information. Finally, a data fusion algorithm is used to associate and merge multi-source data within the same processing cycle to generate an aggregated data file containing full-process information. It is understood that other methods can also be used to achieve data aggregation, which are not limited here.

[0047] S106: Adjust the dosing parameters of the first and second treatment agents based on the aggregated data to achieve synergistic purification.

[0048] The adjustment refers to the process of changing the values ​​of the treatment agent dosing parameters based on the analysis results, making the dosing parameters closer to the optimal value. Collaborative purification refers to a control method that comprehensively considers the operating status and purification effect of multiple treatment units, jointly optimizing the dosing parameters of each treatment agent to achieve a better operating state for the overall purification system. The first and second treatment agent dosing parameters correspond to the treatment agent dosing control information in steps S101 and S103, respectively.

[0049] Specifically, the control system analyzes the aggregated data, extracts the correlation between the concentrations of the first pollutant, the second pollutant, and the concentrations of each pollutant in the final purified flue gas, and calculates the overall purification efficiency under the current combination of the first and second treatment agent dosing parameters. The system compares the current purification efficiency with the historical best purification efficiency or the preset target efficiency. If the current efficiency is lower than the target value, the system calculates the optimal dosing ratio of the first and second treatment agents based on the changing trends of pollutant concentrations at each level in the aggregated data and the response relationship of the treatment agent dosage. The optimization algorithm comprehensively considers the impact of the first pollutant removal rate on subsequent treatment stages, the relationship between the second pollutant concentration and the final purification effect, and factors such as treatment agent cost and energy consumption to calculate new first and second treatment agent dosing parameters. The control system sends parameter adjustment commands to the first and second level treatment units based on the calculation results, and each level of treatment unit operates according to the new dosing parameters, thereby achieving collaborative optimization based on full-process data.

[0050] In some embodiments, the coordinated adjustment of treatment agent dosing parameters can be achieved in several ways: Optionally, firstly, time-series analysis is performed on the aggregated data to extract the changing trends of pollutant concentrations at each level; then, a correlation model between the first treatment agent dosage and the final purification effect and a correlation model between the second treatment agent dosage and the final purification effect are established; finally, a multi-objective optimization algorithm is used to simultaneously solve the two models to obtain the optimal combination of first and second treatment agent dosing parameters that achieves the final purification effect, and this combination is then sent to the actuator. Optionally, firstly, the coordinated purification efficiency under the current combination of treatment agent dosing parameters is calculated and compared with the optimal efficiency recorded in the historical database; then, the direction and magnitude of parameter adjustment are determined based on the efficiency difference; finally, an iterative optimization method is used to gradually adjust the first and second treatment agent dosing parameters, and after each adjustment, purification data is re-collected and the efficiency is calculated until the preset efficiency target is reached. It is understood that other methods can also be used to achieve coordinated adjustment, which are not limited here.

[0051] like Figure 2 As shown, Figure 2This diagram illustrates the overall system structure and data flow of an embodiment of this application. It clearly shows the complete purification process of sludge incineration flue gas after it exits the sludge incinerator, sequentially passing through the first treatment unit, the second treatment unit, the catalytic reaction unit, and the waste heat recovery unit, demonstrating a multi-process coupled system architecture. At the data acquisition level, the system is equipped with sensors at key process nodes, including a first pollutant concentration detection point C1 at the inlet of the first treatment unit, a second pollutant concentration detection point C2 at the outlet of the first treatment unit, pressure differential, flow rate, and temperature monitoring points P / F / T at the second treatment unit, and the final flue gas data detection point C (final) at the end of the system. These detection data are aggregated to the central control system via a dashed data stream. The central control system, as the core of the collaborative purification, comprehensively analyzes the aggregated multi-source data and issues optimized treatment agent dosing parameters to the first and second treatment units respectively via a solid control stream, achieving closed-loop collaborative control based on full-process data feedback. This structure fully embodies the core technical idea of ​​this solution: instead of simply allocating treatment agents proportionally based on the inlet load, it dynamically adjusts each treatment parameter based on the actual purification effect at multiple stages, ensuring the accuracy of multi-pollutant collaborative purification and the system's operating efficiency.

[0052] Based on the above embodiments, as an optional embodiment, S103: the step of acquiring differential pressure data and flow rate data during the dosing process according to the second treatment agent dosing parameters, and acquiring second flue gas data for the second stage flue gas after cleaning the first stage flue gas based on the differential pressure data and flow rate data, may specifically include the following steps: S201: Obtain the first-stage flue gas temperature data, calculate the temperature pre-conditioning parameters based on the first-stage flue gas temperature data, and obtain the pre-conditioned flue gas data; calculate the reaction product flue gas data during the addition process based on the pre-conditioned flue gas data and the second treatment agent addition parameters; calculate the adsorbent addition parameters based on the reaction product flue gas data, and obtain the flue gas data containing adsorbent products.

[0053] The first-stage flue gas temperature data refers to the temperature information of the flue gas after the first-stage treatment, expressed in degrees Celsius, such as 180°C. Temperature pre-conditioning parameters represent the control information required to adjust the flue gas temperature, including heating power or cooling flow rate, such as a heat exchange medium flow rate of 8000 kg / h. Pre-conditioning flue gas data represents the state information of the flue gas after temperature adjustment, including the adjusted temperature and component concentration. Reaction product flue gas data refers to the state information of the flue gas containing the products generated after the reaction of the second treatment agent with the flue gas. Adsorbent dosing parameters represent control information such as the amount and rate of adsorbent addition. Flue gas containing adsorbent products data represents the state information of the flue gas containing adsorbent products after the adsorbent reacts with the flue gas.

[0054] Temperature data of the first-stage flue gas is collected by a temperature sensor installed at the outlet of the first-stage treatment unit. The control system compares this temperature data with the required reaction temperature of the second-stage treatment unit, calculates the temperature difference, and calculates the required heat exchange power using a heat balance formula based on the temperature difference and flue gas flow rate. This determines pre-conditioning parameters such as the heat exchange medium flow rate or the heating equipment power. The temperature control device heats or cools the first-stage flue gas according to these parameters. After adjustment, pre-conditioned flue gas data is collected by temperature and composition detection devices. The second treatment agent reacts with the pre-conditioned flue gas according to the addition parameters. The amount of reaction products and the concentration of residual pollutants are calculated based on the stoichiometric relationship of the reaction and the pre-conditioned flue gas data, forming reaction product flue gas data. The control system determines the adsorbent dosage and addition rate based on the pollutant concentration in the reaction product flue gas data using an adsorbent demand calculation model. This calculation considers pollutant concentration, flue gas flow rate, and adsorbent adsorption capacity. After the adsorbent is added, it adsorbs pollutants in the flue gas. Flue gas state information containing adsorbed products is collected by detection devices to obtain flue gas data containing adsorbed products.

[0055] S202: Obtain the differential pressure data and flow rate data corresponding to the flue gas containing adsorbed products, calculate the resistance coefficient based on the differential pressure data and flow rate data, and when the resistance coefficient reaches the cleaning start condition, calculate the cleaning parameters of the first separation unit and the second separation unit based on the resistance coefficient and differential pressure data, and obtain the second stage flue gas data after cleaning the flue gas containing adsorbed products according to the cleaning parameters of the first separation unit and the second separation unit.

[0056] Differential pressure data refers to the pressure difference before and after the flue gas flows through the separation device, expressed in Pascals, for example, 1500 Pa. Flow rate data represents the volume or mass of flue gas passing through the separation device per unit time, for example, 60,000 cubic meters per hour. The drag coefficient represents the degree to which the separation device impedes the flow of flue gas, calculated from the relationship between differential pressure and flow rate. The ash removal start condition refers to the drag coefficient threshold or differential pressure threshold that triggers the ash removal operation. The ash removal parameters of the first and second separation units represent the control information for the ash removal operation of the two-stage separation devices, including ash removal intensity, ash removal duration, and ash removal frequency. The second-stage flue gas data represents the composition and state information of the flue gas after ash removal.

[0057] Pressure and flow sensors installed at the inlet and outlet of the separation unit collect differential pressure and flow rate data corresponding to the flue gas containing adsorbed products, respectively. The control system calculates the resistance coefficient based on the ratio of the differential pressure and flow rate data. Specifically, the resistance coefficient is calculated as the differential pressure data divided by the square of the flow rate data, then multiplied by the unit's structural coefficient. The control system compares the calculated resistance coefficient with a preset dust removal start-up threshold. When the resistance coefficient reaches or exceeds this threshold, the dust removal program is initiated. The dust removal program determines the dust removal intensity based on the magnitude of the resistance coefficient; a higher resistance coefficient results in a higher dust removal intensity. Simultaneously, the dust removal parameters for the first and second separation units are calculated based on the differential pressure data. The dust removal intensity of the first separation unit is determined based on its share of the differential pressure, while the dust removal parameters of the second separation unit are determined based on its share of the differential pressure and the degree of particulate matter accumulation. The dust removal device performs pulse backflushing or mechanical rapping dust removal operations on the two-stage separation units according to the calculated dust removal parameters, removing adsorbed products and particulate matter from the surface of the separation medium. After dust removal, the composition and state information of the flue gas after dust removal are collected by a detection device to obtain the second-stage flue gas data.

[0058] Based on the above embodiments, as an optional embodiment, S202: When the resistance coefficient reaches the cleaning start-up condition, the cleaning parameters of the first separation unit and the second separation unit are calculated based on the resistance coefficient and pressure difference data, and the second-stage flue gas data after cleaning the flue gas data containing adsorbed products based on the cleaning parameters of the first and second separation units is obtained. This step may specifically include the following steps: S301: Compare and analyze the resistance coefficient with the reference value of the resistance coefficient in the historical operating cycle. When the resistance coefficient exceeds the preset multiple of the reference value of the resistance coefficient, it is determined that the dust cleaning start condition has been met.

[0059] Historical operating cycle refers to the period of continuous operation of the equipment in the past, such as the previous month or the previous 500 hours. The resistance coefficient benchmark value represents a reference value for the resistance coefficient within the historical operating cycle, obtained by averaging historical data or the resistance coefficient during initial stable operation, for example, 0.05 Pa·h² / m². The preset multiple refers to a pre-set multiple threshold, such as 1.5 times or 2 times. The dust cleaning start condition indicates the criteria for triggering the dust cleaning operation.

[0060] The control system extracts resistance coefficient data recorded during historical operating cycles from the historical database. It then performs statistical analysis on this data to calculate a baseline resistance coefficient value. The calculation method involves averaging the resistance coefficient data from the initial stage after dust removal within each historical operating cycle. The control system compares the currently calculated resistance coefficient with the baseline value, calculating the multiple relationship between the two values. The multiple is calculated by dividing the current resistance coefficient by the baseline value. The control system then compares the calculated multiple with a preset multiple. If the calculated multiple is greater than or equal to the preset multiple, the judgment logic outputs a signal indicating that the dust removal start condition has been met, triggering the dust removal control program. For example, if the baseline resistance coefficient is 0.05, the preset multiple is 1.8, and the current resistance coefficient is 0.09, the calculated multiple is 1.8, thus meeting the dust removal start condition.

[0061] S302: Calculate the difference between the resistance coefficient and the reference value of the resistance coefficient; calculate the cleaning parameters of the first separation unit based on the pressure difference data and the difference; obtain the post-cleaning pressure difference data of the first separation unit after cleaning the flue gas containing adsorbed products according to the cleaning parameters of the first separation unit; judge the cleaning effect of the first separation unit based on the post-cleaning pressure difference data and the change in pressure difference data.

[0062] The first separation unit cleaning parameters represent the control information for the cleaning operation of the first-stage separation device. The differential pressure data after cleaning refers to the differential pressure value collected after the first separation unit's cleaning operation is completed. The change represents the difference in differential pressure data before and after cleaning. The cleaning effect characterizes the effectiveness of the cleaning operation in reducing resistance.

[0063] The control system subtracts the current resistance coefficient from the reference value to obtain the difference. Based on this difference and the differential pressure data, the control system calculates the cleaning parameters for the first separation unit. The calculation process involves multiplying the difference by a cleaning intensity coefficient to obtain the basic cleaning intensity, and then determining the cleaning duration based on the differential pressure data. The formula is: cleaning duration equals differential pressure data divided by the differential pressure recovery rate per unit time. The cleaning frequency is determined based on the ratio of the difference to a preset difference threshold. The cleaning device performs the cleaning operation on the first separation unit according to the calculated cleaning parameters. After the operation, the differential pressure data at the outlet of the first separation unit is collected by a pressure sensor. The control system calculates the change in differential pressure before and after cleaning, and judges the cleaning effect based on the ratio of this change to the differential pressure data. When the ratio is greater than a preset recovery ratio threshold, the cleaning effect is considered good.

[0064] S303: When the cleaning effect meets the preset recovery conditions, calculate the cleaning parameters of the second separation unit based on the pressure difference data and resistance coefficient after cleaning; obtain the second stage flue gas data after further cleaning of the flue gas data after the cleaning of the first separation unit based on the cleaning parameters of the second separation unit.

[0065] The preset recovery conditions refer to the pre-defined pressure difference recovery level conditions, representing the criteria for determining whether the cleaning effect of the first separation unit meets the standards, such as a pressure difference reduction of more than 60%. The second separation unit cleaning parameters represent the control information for the cleaning operation of the second-stage separation device, including cleaning intensity, cleaning duration, and cleaning interval. The second-stage flue gas data represents the status information of the flue gas after both separation units have completed cleaning, including component concentration, temperature, and flow rate.

[0066] The control system logically compares the cleaning effect judgment result of the first separation unit with the preset recovery conditions. When the change in differential pressure data after cleaning compared to the differential pressure data before cleaning reaches the threshold set by the preset recovery conditions, the cleaning program of the second separation unit is initiated. The control system calculates the cleaning parameters of the second separation unit based on the differential pressure data after cleaning of the first separation unit and the current resistance coefficient. The calculation process involves determining the differential pressure load borne by the second separation unit based on the differential pressure data after cleaning, determining the cleaning intensity of the second separation unit according to the ratio of the resistance coefficient to the reference value of the resistance coefficient, and calculating the cleaning duration by dividing the differential pressure load of the second separation unit by the differential pressure recovery rate. The cleaning device performs the cleaning operation on the second separation unit according to the calculated cleaning parameters. After cleaning, the temperature, pollutant concentration, and flow rate data of the flue gas are collected by the temperature sensor, component analyzer, and flow sensor installed at the outlet of the second separation unit to form the second stage flue gas data.

[0067] Based on the above embodiments, as an optional embodiment, S104: the step of adjusting the temperature and controlling the catalytic reaction of the second-stage flue gas according to the second flue gas data to obtain the final purified flue gas data may specifically include the following steps: S401: Collect the inlet temperature data of the second-stage flue gas entering the catalytic unit and the catalyst activity temperature range data; calculate the temperature compensation amount based on the deviation between the inlet temperature data and the catalyst activity temperature range data; calculate the temperature adjustment parameter based on the temperature compensation amount; adjust the temperature of the second-stage flue gas data according to the temperature adjustment parameter to obtain the catalytic inlet flue gas data.

[0068] Inlet temperature data refers to the measured temperature of the flue gas before it enters the catalytic converter in the second stage, expressed in degrees Celsius, such as 245°C. Catalyst activity temperature range data indicates the temperature range within which the catalyst achieves optimal catalytic performance, such as 280°C to 380°C. Deviation value represents the temperature difference between the inlet temperature data and the boundary value of the catalyst activity temperature range. Temperature compensation refers to the amount of heat that needs to be added or removed to bring the flue gas temperature to the catalyst activity temperature range. Temperature regulation parameters represent the control information of the temperature regulation device, including heating power or heat exchange medium flow rate. Catalytic inlet flue gas data is used to represent the flue gas state information after temperature regulation, indicating that the flue gas meets the requirements of the catalytic reaction.

[0069] The inlet temperature of the second-stage flue gas is collected by a temperature sensor installed at the inlet of the catalytic converter, while the catalyst activity temperature range data is read from the catalyst parameter database. The control system compares the inlet temperature data with the lower limit of the catalyst activity temperature range. When the inlet temperature is lower than the lower limit, the deviation is calculated as the lower limit minus the inlet temperature; when the inlet temperature is higher than the upper limit, the deviation is calculated as the inlet temperature minus the upper limit. Temperature compensation is calculated based on the deviation and flue gas flow rate. The formula is: temperature compensation equals flue gas mass flow rate multiplied by flue gas specific heat capacity multiplied by the deviation. The control system calculates temperature adjustment parameters based on the temperature compensation. When heating is required, the heating power parameter is equal to the temperature compensation divided by the heating time, and the heating medium flow rate is determined based on the heating power and the medium enthalpy. When cooling is required, the cooling medium flow rate is calculated based on the temperature compensation and the medium heat exchange capacity. The temperature adjustment device performs heating or cooling operations on the second-stage flue gas according to the temperature adjustment parameters. After adjustment, the flue gas temperature and component concentration are collected by temperature and component detection devices to form catalytic converter inlet flue gas data.

[0070] S402: When the actual temperature data corresponding to the catalytic inlet flue gas data is within the catalyst activity temperature range, acquire the catalytic reaction flue gas data after the catalytic inlet flue gas has undergone catalytic reaction treatment; adjust the heat exchange power parameters and residence time parameters corresponding to the catalytic reaction based on the residual pollutant concentration data in the catalytic reaction flue gas data, so that the residual pollutant concentration is reduced to the preset target range, and obtain the deeply purified flue gas data.

[0071] Actual temperature data refers to the measured temperature value of the flue gas at the catalytic inlet. Catalytic reaction flue gas data represents the state information of the flue gas after the catalytic reaction, including component concentration, temperature, and flow rate. Residual pollutant concentration data refers to the measured concentration of residual pollutants in the flue gas after the catalytic reaction, such as a nitrogen oxide concentration of 45 mg / m³. Heat exchange power parameters represent the power setting value of the heat exchange equipment in the catalytic reaction zone. Residence time parameters refer to the residence time of the flue gas in the catalytic reaction zone. Preset target range represents the pre-set range of pollutant concentration compliance, such as a nitrogen oxide concentration of less than 30 mg / m³. Deep purification flue gas data is used to represent the state information of the flue gas when the pollutant concentration reaches the preset target range.

[0072] The control system compares the actual temperature data of the inlet flue gas with the upper and lower limits of the catalyst's active temperature range. If the actual temperature is greater than or equal to the lower limit and less than or equal to the upper limit, the temperature is considered to be within the catalyst's active temperature range, and the catalytic reaction program is initiated. The catalytic device treats the inlet flue gas through a catalytic reaction. Pollutants in the flue gas undergo oxidation-reduction reactions under the action of the catalyst. After the reaction, flue gas data is collected by a component analyzer, temperature sensor, and flow sensor located at the outlet of the catalytic device. The control system extracts residual pollutant concentration data from the flue gas data and compares it with the upper limit of the preset target range. If the residual pollutant concentration exceeds the upper limit, the concentration deviation is calculated as the residual pollutant concentration minus the upper limit of the target range. The heat exchange power parameter and residence time parameter are adjusted based on the concentration deviation. The adjustment amount of the heat exchange power parameter is determined by multiplying the concentration deviation by the temperature sensitivity coefficient. The adjusted heat exchange power parameter equals the original heat exchange power parameter plus the adjustment amount. The residence time parameter is adjusted by changing the flue gas velocity. The adjusted flue gas velocity equals the original velocity divided by the residence time increase coefficient, which is calculated based on the concentration deviation and the reaction rate constant. The catalytic device operates according to the adjusted parameters, reducing the concentration of residual pollutants to within the preset target range. Once the target is met, data on the deeply purified flue gas is collected.

[0073] S403: Calculate waste heat recovery parameters based on the deep-purified flue gas data, and obtain the final purified flue gas data after waste heat recovery treatment of the deep-purified flue gas data based on the waste heat recovery parameters.

[0074] Waste heat recovery parameters represent the control information of the waste heat recovery device, including heat exchange area utilization rate, heat exchange medium flow rate, and target outlet temperature. Final purified flue gas data represents the final state information of the flue gas after waste heat recovery treatment, such as temperature, component concentration, and flow rate.

[0075] The control system extracts flue gas temperature, flow rate, and composition information from the deep-purified flue gas data, and calculates waste heat recovery parameters based on this information. The calculation process involves first determining the recoverable heat based on the flue gas temperature and ambient temperature. The recoverable heat is equal to the flue gas mass flow rate multiplied by the flue gas specific heat capacity, and then multiplied by the difference between the flue gas temperature and the target outlet temperature. The target outlet temperature is determined by adding a safety margin to the flue gas dew point temperature, which is set between 15°C and 25°C. The required heat exchange area is calculated based on the recoverable heat and the heat exchanger's heat transfer coefficient. The actual activated heat exchange area is determined based on the total heat exchanger area and the heat exchange area utilization rate, which is calculated as the ratio of recoverable heat to the heat exchanger's rated heat exchange capacity. The heat exchange medium flow rate is calculated based on the recoverable heat and the temperature rise of the heat exchange medium. The formula is: heat exchange medium flow rate equals recoverable heat divided by the heat exchange medium's specific heat capacity, and then divided by the heat exchange medium's temperature rise. The waste heat recovery device operates according to the calculated waste heat recovery parameters. The deeply purified flue gas transfers heat to the heat exchange medium through a heat exchanger, reducing the flue gas temperature to the target outlet temperature. After waste heat recovery is completed, temperature, pollutant concentration, and flow rate data of the flue gas are collected by temperature sensors, component analyzers, and flow sensors installed at the outlet of the waste heat recovery device to form the final purified flue gas data.

[0076] Based on the above embodiments, as an optional embodiment, S403: the step of calculating waste heat recovery parameters based on the deep-purified flue gas data and obtaining the final purified flue gas data after waste heat recovery processing of the deep-purified flue gas data based on the waste heat recovery parameters may specifically include the following steps: S501: Obtain the inlet temperature data and outlet temperature target data of the waste heat recovery device corresponding to the deep-purified flue gas data; calculate the heat energy recovery amount and the flow parameters of the heat exchange medium based on the inlet temperature data and outlet temperature target data, as waste heat recovery parameters.

[0077] Inlet temperature data refers to the measured temperature of the deeply purified flue gas before it enters the waste heat recovery device, expressed in degrees Celsius, such as 320°C. Outlet temperature target data represents the pre-set target temperature value of the flue gas after it leaves the waste heat recovery device, such as 150°C. Heat energy recovery refers to the amount of heat energy that can be recovered from the flue gas, expressed in kilowatts or megawatts. The flow rate parameter of the heat exchange medium represents the mass flow rate or volumetric flow rate of the heat exchange medium, such as 12,000 kg per hour. Waste heat recovery parameters refer to the set of control information required for the operation of the waste heat recovery device.

[0078] The inlet temperature data of the deeply purified flue gas is collected by a temperature sensor installed at the inlet of the waste heat recovery device, and the target outlet temperature data is read from the control system parameter library. The control system calculates the temperature difference based on the inlet temperature data and the target outlet temperature data. The temperature difference equals the inlet temperature data minus the target outlet temperature data. The heat energy recovery is calculated based on the temperature difference and the mass flow rate of the deeply purified flue gas. The calculation formula is: heat energy recovery equals flue gas mass flow rate multiplied by flue gas specific heat capacity multiplied by the temperature difference. The control system calculates the flow rate parameters of the heat exchange medium based on the heat energy recovery and the thermophysical properties of the heat exchange medium. The calculation process involves first determining the inlet and outlet temperature difference of the heat exchange medium. This temperature difference is set according to the type of heat exchange medium and the design value of the heat exchange system. For example, when water is used as the heat exchange medium, the temperature difference is set to 30℃ to 50℃. Then, the flow rate parameter of the heat exchange medium is calculated according to the formula: heat energy recovery divided by the specific heat capacity of the heat exchange medium divided by the temperature difference of the heat exchange medium. The calculated heat energy recovery and heat exchange medium flow rate parameters are output as waste heat recovery parameters to the waste heat recovery device control unit.

[0079] S502: Control the flow rate of the heat exchange medium in the waste heat recovery device according to the waste heat recovery parameters so that the deep-purified flue gas can recover waste heat. Calculate the actual heat absorption power of the heat exchange medium based on the inlet temperature data and outlet temperature data of the heat exchange medium during the waste heat recovery process.

[0080] The heat exchange medium flow rate indicates the numerical value of the flow rate of the heat exchange medium through the heat exchanger. The inlet temperature of the heat exchange medium refers to the measured temperature of the medium before it enters the heat exchanger, for example, 25°C. The outlet temperature of the heat exchange medium refers to the measured temperature of the medium after it leaves the heat exchanger, for example, 68°C. The actual heat absorption power represents the actual heat power absorbed by the heat exchange medium during waste heat recovery, expressed in kilowatts (kW).

[0081] The flow control valve of the waste heat recovery device adjusts its opening according to the heat exchange medium flow rate parameter in the waste heat recovery parameters, controlling the heat exchange medium to enter the heat exchanger at a set flow rate. Deeply purified flue gas exchanges heat with the heat exchange medium within the heat exchanger, transferring heat to the medium, causing the flue gas temperature to decrease and the heat exchange medium temperature to increase. Temperature sensors installed on the inlet pipe and outlet pipe of the heat exchange medium collect inlet temperature data, respectively. The control system calculates the temperature rise of the heat exchange medium based on these inlet and outlet temperature data, which is equal to the outlet temperature minus the inlet temperature. The control system then calculates the actual heat absorption power based on the temperature rise, the heat exchange medium flow rate parameter, and the specific heat capacity of the heat exchange medium. The formula is: actual heat absorption power equals the heat exchange medium mass flow rate multiplied by the heat exchange medium specific heat capacity multiplied by the temperature rise. When the flow rate parameter is volumetric flow rate, it must first be multiplied by the heat exchange medium density to convert it to mass flow rate. The calculated actual heat absorption power data is transmitted to the control system for subsequent power deviation analysis.

[0082] S503: Calculate the theoretical heat absorption power based on the heat energy recovery. When the power deviation between the actual heat absorption power and the theoretical heat absorption power exceeds the preset threshold, adjust the flow parameters of the heat exchange medium to make the power deviation less than the preset deviation threshold, and obtain the final purified flue gas data.

[0083] Theoretical heat absorption power refers to the theoretical value of the heat power that the heat exchange medium should absorb, calculated according to the design, expressed in kilowatts. Power deviation represents the absolute value of the difference between the actual heat absorption power and the theoretical heat absorption power. Preset threshold refers to the pre-set upper limit of the allowable power deviation, such as 50 kilowatts. Preset deviation threshold and preset threshold have the same meaning. Final purified flue gas data is used to represent the final state information of the flue gas after waste heat recovery adjustment, including temperature, component concentration, and flow rate.

[0084] The control system calculates the theoretical heat absorption power based on the heat energy recovery amount calculated in step S501. Since the heat energy recovery amount represents the heat energy that can be recovered per unit time, the theoretical heat absorption power value is equal to the heat energy recovery amount value. The control system compares the actual heat absorption power calculated in step S502 with the theoretical heat absorption power to calculate the power deviation. The power deviation is equal to the absolute value of the actual heat absorption power minus the theoretical heat absorption power. The control system compares the power deviation with a preset threshold. When the power deviation is greater than the preset threshold, the flow rate parameter of the heat exchange medium is adjusted according to the positive or negative direction of the power deviation. When the actual heat absorption power is less than the theoretical heat absorption power, the flow rate parameter of the heat exchange medium is increased. The flow rate adjustment amount is calculated by dividing the power deviation by the specific heat capacity of the heat exchange medium and then by the temperature difference of the heat exchange medium. The adjusted flow rate parameter is equal to the original flow rate parameter plus the flow rate adjustment amount. When the actual heat absorption power is greater than the theoretical heat absorption power, the flow rate parameter of the heat exchange medium is decreased. The adjusted flow rate parameter is equal to the original flow rate parameter minus the flow rate adjustment amount. The waste heat recovery device operates according to the adjusted flow rate parameter, and the control system continuously monitors the power deviation until the power deviation is less than the preset deviation threshold. Once the control requirements are met, the flue gas temperature, component concentration, and flow rate data are collected by sensors installed at the outlet of the waste heat recovery device to form the final purified flue gas data.

[0085] Based on the above embodiments, as an optional embodiment, S503: When the power deviation between the actual heat absorption power and the theoretical heat absorption power exceeds a preset threshold, the step of adjusting the flow rate parameter of the heat exchange medium may specifically include the following steps: S601: Calculate the power deviation between the actual heat absorption power and the theoretical heat absorption power; when the power deviation exceeds the preset threshold, calculate the flow adjustment amount based on the power deviation and the current flow rate of the heat exchange medium, and adjust the flow parameters of the heat exchange medium according to the flow adjustment amount.

[0086] Power deviation represents the difference between the actual heat absorption power and the theoretical heat absorption power. The preset threshold refers to the pre-set upper limit of the allowable power deviation, such as 50 kW. Current flow rate refers to the real-time flow rate of the heat exchange medium. Flow rate adjustment indicates the amount by which the heat exchange medium flow rate needs to be increased or decreased, in kilograms per hour or cubic meters per hour. Flow parameter represents the adjusted heat exchange medium flow rate setpoint.

[0087] The control system acquires actual and theoretical heat absorption power data, calculates the power deviation by subtracting the values, and retains the sign (positive or negative) to determine the adjustment direction. The control system compares the absolute value of the power deviation with a preset threshold. When the absolute value of the power deviation exceeds the preset threshold, the flow regulation program is initiated. The control system obtains the current flow rate data of the heat exchange medium from the flow sensor and calculates the flow regulation amount based on the power deviation and the current flow rate. The calculation formula is: flow regulation amount equals power deviation divided by the specific heat capacity of the heat exchange medium, then divided by the temperature difference between the inlet and outlet of the heat exchange medium. The temperature difference is calculated based on the inlet and outlet temperature data of the heat exchange medium. When the power deviation is positive, the flow regulation amount is positive, indicating that the flow rate needs to be increased; when the power deviation is negative, the flow regulation amount is negative, indicating that the flow rate needs to be decreased. The control system adjusts the flow parameters of the heat exchange medium according to the flow regulation amount. The adjusted flow parameters are equal to the current flow rate plus the flow regulation amount. The flow control valve changes its opening according to the adjusted flow parameters to achieve precise regulation of the heat exchange medium flow rate. The new flow parameters are used as the current operating parameters after adjustment.

[0088] S602: Reacquire the inlet and outlet temperature data of the heat exchange medium, recalculate the actual heat absorption power, and continuously iterate and adjust until the power deviation is reduced to within the preset threshold.

[0089] Inlet temperature data refers to the measured temperature of the heat exchange medium entering the heat exchanger after flow rate adjustment. Outlet temperature data refers to the measured temperature of the heat exchange medium leaving the heat exchanger after flow rate adjustment. Actual heat absorption power represents the actual heat power absorbed by the heat exchange medium after flow rate adjustment. Iterative adjustment refers to the cyclical process of repeatedly performing measurements and adjustments. Power deviation represents the ratio of power deviation to theoretical heat absorption power, expressed as a percentage. Preset threshold refers to the upper limit of allowable power deviation, such as 5%.

[0090] After the flow rate adjustment is completed, the control system waits for the heat exchange system to reach a stable operating state. The stabilization time is set according to the heat exchanger volume and flow rate, typically ranging from 30 to 120 seconds. Temperature sensors installed in the inlet and outlet pipes of the heat exchange medium re-collect inlet and outlet temperature data, with a data acquisition frequency set to 1 to 10 times per second. The control system recalculates the actual heat absorption power based on the re-collected temperature data and current flow parameters. The calculation formula is: actual heat absorption power equals the heat exchange medium mass flow rate multiplied by the heat exchange medium specific heat capacity multiplied by the difference between the outlet and inlet temperature data. The control system calculates the new power deviation, which equals the actual heat absorption power minus the theoretical heat absorption power. The control system compares the power deviation with a preset threshold. When the power deviation is greater than the preset threshold, the flow rate adjustment process in step S601 is repeated. When the power deviation is less than or equal to the preset threshold, the iterative adjustment ends, confirming that the waste heat recovery device has reached its designed operating state, thus completing the waste heat recovery control process.

[0091] Based on the above embodiments, as an optional embodiment, S106: Adjusting the first treatment agent dosing parameters and the second treatment agent dosing parameters according to the aggregated data to achieve synergistic purification may specifically include the following steps: S701: Perform time-series correlation analysis on the aggregated data to extract the trends of multi-pollutant concentration changes and operating status changes; calculate the synergistic purification efficiency of the current ratio of the first and second treatment agent dosing parameters based on the trends of multi-pollutant concentration changes and operating status changes.

[0092] Aggregated data refers to the collection of time-series data, including multi-pollutant concentrations, treatment agent dosages, and operating parameters. Time-series correlation analysis refers to the method of performing correlation analysis on time-series data to identify temporal relationships between variables. Multi-pollutant concentration change trends refer to the changes in the concentrations of multiple pollutants over time; for example, sulfur dioxide concentration decreasing from 800 mg / m³ to 200 mg / m³ within 30 minutes. Operating status change trends refer to the changes in equipment operating parameters over time; for example, treatment agent dosage increasing from 50 L / h to 80 L / h. First and second treatment agent dosage parameters represent the dosage flow rates or rates of the two treatment agents, respectively. Current treatment agent ratio represents the ratio of the first treatment agent dosage to the second treatment agent dosage, for example, 1.5:1. Synergistic purification efficiency represents the improvement in pollutant removal rate under the combined action of two treatment agents compared to their individual use, expressed as a percentage.

[0093] The control system acquires aggregated data from the data storage unit and sorts the data according to timestamps to form a time series. Pearson correlation coefficient analysis is used to perform time-series correlation analysis on the multi-pollutant concentration data, calculating the correlation coefficient between the concentration of the first pollutant and the dosage of the first treatment agent at different time lags. Simultaneously, the correlation coefficient between the concentration of the second pollutant and the dosage of the second treatment agent is calculated, identifying the time lag value corresponding to the maximum correlation coefficient. Based on the correlation coefficient matrix, the trend of multi-pollutant concentration changes is extracted, and the slope and curve parameters of the concentration change over time are calculated using linear regression or polynomial fitting methods. The trend of operational status changes is extracted synchronously, recording the changes in treatment agent dosage parameters within the time window. The control system calculates the current treatment agent ratio, which is equal to the first treatment agent dosage parameter divided by the second treatment agent dosage parameter. The synergistic purification efficiency is calculated based on the trends of multi-pollutant concentration changes and operational status changes. The calculation process is as follows: First, the pollutant removal rates under the individual action of the first and second treatment agents are calculated separately. The removal rate is equal to the initial concentration minus the current concentration and then divided by the initial concentration. Then, the total removal rate under the synergistic action of the two treatment agents is calculated. The synergistic purification efficiency is equal to the total removal rate minus the sum of the individual removal rates and then divided by the sum of the individual removal rates and multiplied by 100%. This value reflects the intensity of the synergistic effect.

[0094] S702: Compare the synergistic purification efficiency with the historical best synergistic purification efficiency; when the synergistic purification efficiency is lower than the historical best synergistic purification efficiency, calculate the optimal treatment agent ratio based on the correlation between the concentration data of the first pollutant and the concentration data of the second pollutant; adjust the dosing parameters of the first and second treatment agents according to the optimal treatment agent ratio to achieve synergistic purification of multiple pollutants.

[0095] Synergistic purification efficiency indicates the degree of synergistic effect between two treatment agents under current operating conditions. Historical best-efficiency synergistic purification efficiency refers to the maximum synergistic purification efficiency recorded in historical operating data, such as 45%. Correlation relationship represents the mathematical correlation model between the concentration data of the first pollutant and the concentration data of the second pollutant. Optimal treatment agent ratio represents the ratio of the first to second treatment agent dosages that maximizes the synergistic purification efficiency. Synergistic purification refers to the process of multiple treatment agents working together to remove multiple pollutants.

[0096] The control system reads the historical best synergistic purification efficiency value from the historical database and compares the synergistic purification efficiency calculated in step S701 with the historical best synergistic purification efficiency. When the synergistic purification efficiency is less than the historical best synergistic purification efficiency, the ratio optimization program is initiated. The control system acquires the current concentration data of the first pollutant and the concentration data of the second pollutant, establishes a correlation model, and uses a multiple linear regression method to calculate the correlation coefficient between the two pollutant concentrations. The correlation coefficient is equal to the change in the concentration of the first pollutant divided by the change in the concentration of the second pollutant. Based on the correlation relationship and the historical best operating data, the optimal treatment agent ratio is calculated. The calculation formula is: the optimal treatment agent ratio equals the historical best ratio multiplied by the current correlation coefficient divided by the historical correlation coefficient, or it can be found by traversing historical data to find the treatment agent ratio corresponding to the maximum synergistic purification efficiency under the current pollutant concentration ratio. The control system calculates and adjusts the first and second agent dosing parameters based on the optimal agent ratio and the current total pollutant load. The adjustment process involves first calculating the total agent demand corresponding to the total pollutant load, which equals the first pollutant concentration multiplied by the first agent unit dosage plus the second pollutant concentration multiplied by the second agent unit dosage. Then, the agent dosage is allocated according to the optimal agent ratio. The first agent dosing parameter equals the total demand multiplied by the optimal ratio divided by the optimal ratio plus 1, and the second agent dosing parameter equals the total demand divided by the optimal ratio plus 1. The control system sends the adjusted dosing parameters to the agent dosing device, which adjusts the pump speed or valve opening to achieve the adjusted dosing parameters, thus completing the optimized control for multi-pollutant synergistic purification.

[0097] The following describes an exemplary multi-pollutant synergistic purification device provided in an embodiment of this application. Figure 3 This is an exemplary hardware structure diagram of a multi-pollutant synergistic purification device provided in an embodiment of this application.

[0098] In some embodiments, the multi-pollutant synergistic purification device is a computer device or includes a computer device. The computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores data. The network interface communicates with other external terminals or servers via a network connection. In some embodiments, the network interface can be a wired network interface; in some embodiments, it can also be a wireless network interface. When the computer program is executed by the processor, it implements the methods described in the embodiments of this application.

[0099] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0100] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

[0101] As used in the above embodiments, depending on the context, the term "when..." can be interpreted as meaning "if...", "after...", "in response to determining...", or "in response to detecting...". Similarly, depending on the context, the phrase "when determining..." or "if (the stated condition or event) is interpreted as meaning "if determining...", "in response to determining...", "when (the stated condition or event) is detected", or "in response to detecting (the stated condition or event)".

[0102] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive), etc.

[0103] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method for synergistic purification of multiple pollutants, characterized in that, The method includes: Obtain the first pollutant concentration data of the raw flue gas, and calculate the first treatment agent dosing parameters based on the first pollutant concentration data; Obtain the second pollutant concentration data of the first-stage flue gas after the original flue gas has been purified according to the first treatment agent dosing parameters; Calculate the second treatment agent dosing parameters based on the second pollutant concentration data, obtain the pressure difference data and flow rate data during the dosing process according to the second treatment agent dosing parameters, and obtain the second flue gas data of the second stage flue gas after the first stage flue gas is cleaned based on the pressure difference data and the flow rate data; Based on the second flue gas data, the temperature of the second stage flue gas is adjusted and the catalytic control is performed to obtain the final purified flue gas data; The first pollutant concentration data, the second pollutant concentration data, and the final purified flue gas data are combined to obtain aggregated data; The first and second treatment agent dosing parameters are adjusted based on the aggregated data to achieve synergistic purification.

2. The multi-pollutant synergistic purification method according to claim 1, characterized in that, The step of acquiring differential pressure data and flow rate data during the dosing process according to the second treatment agent dosing parameters, and acquiring second flue gas data for the second stage flue gas obtained after cleaning the first stage flue gas based on the differential pressure data and the flow rate data, includes: Obtain the first stage flue gas temperature data, calculate the temperature pre-adjustment parameters based on the first stage flue gas temperature data, and obtain the pre-adjusted flue gas data; Calculate the reaction product flue gas data during the addition process based on the pre-conditioned flue gas data and the second treatment agent addition parameters; The adsorbent addition parameters are calculated based on the reaction product flue gas data to obtain flue gas data containing adsorbent products; Obtain the differential pressure data and flow rate data corresponding to the flue gas data containing adsorbed products. Calculate the resistance coefficient based on the differential pressure data and the flow rate data. When the resistance coefficient reaches the dust removal start-up condition, calculate the dust removal parameters of the first separation unit and the second separation unit based on the resistance coefficient and the differential pressure data. Obtain the second-stage flue gas data after dust removal treatment of the flue gas data containing adsorbed products based on the first separation unit dust removal parameters and the second separation unit dust removal parameters.

3. The multi-pollutant synergistic purification method according to claim 2, characterized in that, When the resistance coefficient reaches the dust removal start-up condition, the dust removal parameters of the first separation unit and the second separation unit are calculated based on the resistance coefficient and the pressure difference data. This process yields second-stage flue gas data after dust removal treatment of the flue gas containing adsorbed products, based on the first and second separation unit dust removal parameters. This includes: The resistance coefficient is compared and analyzed with the reference value of the resistance coefficient in the historical operating cycle. When the resistance coefficient exceeds a preset multiple of the reference value of the resistance coefficient, it is determined that the dust cleaning start condition has been met. Calculate the difference between the resistance coefficient and the reference value of the resistance coefficient, and calculate the dust removal parameters of the first separation unit based on the pressure difference data and the difference; Obtain the post-cleaning pressure difference data of the first separation unit after cleaning the flue gas containing adsorbed products according to the cleaning parameters of the first separation unit; The cleaning effect of the first separation unit is determined based on the change in the differential pressure data after cleaning. Once the dust removal effect meets the preset recovery conditions, the dust removal parameters of the second separation unit are calculated based on the pressure difference data after dust removal and the resistance coefficient. Obtain second-stage flue gas data after further cleaning of the flue gas data after the cleaning process of the first separation unit, based on the cleaning parameters of the second separation unit.

4. The multi-pollutant synergistic purification method according to claim 1, characterized in that, The step of adjusting the temperature and controlling the catalytic reaction of the second-stage flue gas based on the second flue gas data to obtain the final purified flue gas data includes: Collect inlet temperature data of the flue gas entering the catalytic unit in the second stage and catalyst activity temperature range data; The temperature compensation amount is calculated based on the deviation between the inlet temperature data and the catalyst activity temperature range data. The temperature adjustment parameter is calculated based on the temperature compensation amount. The temperature adjustment parameter is used to adjust the temperature of the second stage flue gas data to obtain the catalyst inlet flue gas data. When the actual temperature data corresponding to the catalytic inlet flue gas data is within the catalyst activity temperature range, the catalytic reaction flue gas data after the catalytic inlet flue gas undergoes catalytic reaction treatment is obtained. Based on the residual pollutant concentration data in the catalytic reaction flue gas data, adjust the heat exchange power parameters and residence time parameters corresponding to the catalytic reaction to reduce the residual pollutant concentration to a preset target range, thereby obtaining deeply purified flue gas data. Calculate waste heat recovery parameters based on the deep-purified flue gas data, and obtain the final purified flue gas data after waste heat recovery treatment of the deep-purified flue gas data based on the waste heat recovery parameters.

5. The multi-pollutant synergistic purification method according to claim 4, characterized in that, The step of calculating waste heat recovery parameters based on the deep-purified flue gas data and obtaining the final purified flue gas data after waste heat recovery processing of the deep-purified flue gas data based on the waste heat recovery parameters includes: Obtain the inlet temperature data and outlet temperature target data of the waste heat recovery device corresponding to the deep-purified flue gas data; The heat recovery amount and the flow rate parameters of the heat exchange medium are calculated based on the inlet temperature data and the outlet temperature target data, and used as waste heat recovery parameters. The flow rate of the heat exchange medium in the waste heat recovery device is controlled according to the waste heat recovery parameters so that the waste heat of the deeply purified flue gas can be recovered. The actual heat absorption power of the heat exchange medium is calculated based on the inlet temperature data and outlet temperature data of the heat exchange medium during the waste heat recovery process. The theoretical heat absorption power is calculated based on the heat energy recovery amount. When the power deviation between the actual heat absorption power and the theoretical heat absorption power exceeds a preset threshold, the flow parameters of the heat exchange medium are adjusted so that the power deviation is less than the preset deviation threshold, and the final purified flue gas data is obtained.

6. The multi-pollutant synergistic purification method according to claim 5, characterized in that, When the power deviation between the actual heat absorption power and the theoretical heat absorption power exceeds a preset threshold, adjusting the flow rate parameter of the heat exchange medium includes: Calculate the power deviation between the actual heat absorption power and the theoretical heat absorption power; When the power deviation exceeds a preset threshold, the flow rate adjustment amount is calculated based on the power deviation and the current flow rate of the heat exchange medium, and the flow rate parameter of the heat exchange medium is adjusted based on the flow rate adjustment amount. The inlet and outlet temperature data of the heat exchange medium are re-acquired, and the actual heat absorption power is recalculated. The process is iteratively adjusted until the power deviation is reduced to within the preset threshold.

7. The multi-pollutant synergistic purification method according to claim 1, characterized in that, The step of adjusting the dosing parameters of the first and second treatment agents based on the aggregated data to achieve synergistic purification includes: Time-series correlation analysis was performed on the aggregated data to extract the trends in concentration and operating status of multiple pollutants. The synergistic purification efficiency of the current ratio of the first treatment agent dosing parameter to the second treatment agent dosing parameter is calculated based on the changing trends of the concentrations of the multiple pollutants and the changing trends of the operating status. The synergistic purification efficiency is compared with the historical best synergistic purification efficiency; When the synergistic purification efficiency is lower than the historical best synergistic purification efficiency, the optimal treatment agent ratio is calculated based on the correlation between the first pollutant concentration data and the second pollutant concentration data. Adjust the dosing parameters of the first and second treatment agents according to the optimal treatment agent ratio to achieve synergistic purification of multiple pollutants.

8. A multi-pollutant synergistic purification device, characterized in that, The multi-pollutant synergistic purification device includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the multi-pollutant synergistic purification device to perform the method as described in any one of claims 1-7.

9. A computer program product containing instructions, characterized in that, When the computer program product is run on a multi-pollutant synergistic purification device, the multi-pollutant synergistic purification device performs the method as described in any one of claims 1-7.

10. A computer-readable storage medium comprising instructions, characterized in that, When the instruction is executed on a multi-pollutant synergistic purification device, the multi-pollutant synergistic purification device performs the method as described in any one of claims 1-7.

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