Coal-fired boiler desulfurization flue gas emission control method and system
By performing clustering and association rule analysis on the emission levels and historical operating data of coal-fired boiler units, the emission volume of desulfurized flue gas is dynamically adjusted, solving the problem that desulfurized flue gas from coal-fired boilers cannot meet ultra-clean emission standards, and achieving precise SO2 concentration management and emission optimization.
Patent Information
- Application Number
- CN202511522407.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-23
- Publication Date
- 2026-02-06
AI Technical Summary
In existing technologies, the flue gas emissions from desulfurization of coal-fired boilers cannot meet the requirements for ultra-clean emissions, especially when the desulfurization efficiency is poor, the same amount of emissions is still maintained, and the SO2 concentration cannot be effectively controlled.
By acquiring emission level parameters and historical operating data of each operating equipment in a coal-fired boiler unit, clustering and association rule algorithms are used to determine the desulfurization flue gas emission level and boiler efficiency. Combined with SO2 concentration level, the emission amount is dynamically adjusted. K-means clustering and Apriori algorithm are used to mine strong association rules to optimize the desulfurization flue gas emission control.
It enables dynamic control of desulfurization flue gas emissions, meets ultra-clean emission requirements, and improves the management accuracy and emission control effect of SO2 concentration.
Smart Images
Figure CN121477595A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of desulfurized flue gas emission, in particular to a coal-fired boiler desulfurized flue gas emission control method and system. BACKGROUND
[0002] China is a big energy consumer, and has been mainly using traditional energy such as coal for a long time. At present, thermal power generation still accounts for more than 70% of the total power consumption, and coal-fired boilers and kilns have become the main coal users in China. A large amount of sulfur dioxide is generated in the process of coal combustion, which seriously threatens the environment.
[0003] In the prior art, the desulfurized flue gas is only discharged through a fixed emission amount after the desulfurization of the boiler flue gas, and the same emission amount is maintained for the desulfurized flue gas emission when the desulfurization efficiency is poor, which is difficult to meet the requirement of ultra-clean emission of desulfurized flue gas. SUMMARY
[0004] The present application provides a coal-fired boiler desulfurized flue gas emission control method and system to solve the problem that the coal-fired unit is difficult to meet the requirement of ultra-clean emission of desulfurized flue gas in the prior art, comprising:
[0005] The emission level parameters of each operating device of the coal-fired boiler unit are obtained, the desulfurized flue gas emission level of the coal-fired boiler unit is determined according to the emission level parameters of each operating device, the historical operation data of each operating device of the coal-fired boiler unit is obtained, the strong association rules of the historical operation data are mined, and the boiler efficiency of the current coal-fired boiler unit is determined according to the strong association rules; the SO2 concentration level of the coal-fired boiler unit is determined according to the desulfurized flue gas emission level and the boiler efficiency, and the desulfurized flue gas emission amount is determined according to the SO2 concentration level of the coal-fired boiler unit.
[0006] Further, the desulfurized flue gas emission level of the coal-fired boiler unit is determined according to the emission level parameters of each operating device, comprising: clustering each operating device of the coal-fired boiler unit according to the emission level parameters, determining the clustering center of the clustering partition corresponding to each operating device according to the clustering result; obtaining the emission level parameters of each clustering center, determining the initial emission level of the operating device in the clustering partition according to the emission level parameters corresponding to the clustering center; obtaining any target operating device, calculating the influence coefficient between the remaining operating devices and the emission level parameters of any target operating device, and screening out the remaining operating devices whose influence coefficient on the target operating device is greater than a first preset threshold; extracting the influence operating device which is in the same clustering partition as the target operating device and whose influence coefficient is greater than the first preset threshold, and correcting the initial emission level according to the average influence coefficient of all influence operating devices to obtain the emission level of the target operating device; obtaining the emission level of all operating devices, and determining the desulfurized flue gas emission level according to the emission level of all operating devices.
[0007] Further, the clustering of each operating device of the coal-fired boiler unit according to the emission level parameter comprises: establishing a sample data set according to the emission level parameter of each operating device of the coal-fired boiler unit, and randomly selecting k initial clustering centers of the sample data set; calculating the Manhattan distance of sample data in the sample data set to the initial clustering center, and dividing each operating device to the corresponding clustering partition according to the Manhattan distance of sample data in the sample data set to the initial clustering center; calculating the sample data mean of the operating device in each clustering partition, and recalculating the clustering center according to the sample data mean of the operating device in each clustering partition; repeating the clustering step until the clustering center no longer changes or the iteration number reaches the preset maximum iteration number, and obtaining the clustering result of the operating device.
[0008] Further, the calculation of the influence coefficient between the emission level parameter of the remaining operating device and any target operating device comprises: obtaining the historical emission level parameter of the target operating device and the remaining operating devices, and drawing the historical emission level parameter change curve of the historical emission level parameter of the target operating device and the remaining operating devices with time; calculating the correlation coefficient of the emission level parameter of the target operating device and the remaining operating devices according to the historical emission level parameter change curve of the target operating device and the remaining operating devices, and determining the influence coefficient between the emission level parameter of the remaining operating device and the target operating device according to the correlation coefficient of the emission level parameter of the target operating device and the remaining operating devices.
[0009] Further, the correction of the initial emission level according to the average influence coefficient of all influence operating devices comprises: standardizing the average influence coefficient, and multiplying the standardized average influence coefficient by the initial emission level of the target operating device to complete the correction of the initial emission level.
[0010] Further, the mining of strong association rules of the historical operation data, and the determination of the boiler efficiency of the current coal-fired boiler unit according to the strong association rules comprises: determining the historical operation parameter and the corresponding boiler efficiency of each operating device according to the historical operation data of each operating device of the coal-fired boiler unit, and establishing an association data set according to the historical operation parameter and the corresponding boiler efficiency of each operating device; standardizing the association data set, mining the frequent item set of the standardized association data set based on the apriori association rule algorithm, determining the strong association rules between the historical operation parameter and the boiler efficiency of each operating device according to the frequent item set of the standardized association data set; and matching the real-time operation parameter of each operating device with the strong association rules to obtain the boiler efficiency of the current coal-fired boiler unit.
[0011] Furthermore, the step of mining frequent itemsets in the standardized association dataset based on the Apriori association rule algorithm, and determining strong association rules between the historical operating parameters of each operating device and boiler efficiency based on the frequent itemsets in the standardized association dataset, includes: discretizing the standardized association dataset to obtain a discretized association dataset; converting the discretized association dataset into a transactional data format to obtain a transactional association dataset; setting a minimum support threshold and a minimum confidence threshold, and iteratively scanning the transactional association dataset using the Apriori algorithm to generate candidate itemsets; calculating the support of each candidate itemset, and selecting frequent itemsets that meet the minimum support threshold from the candidate itemsets based on the support, and generating association rules based on the frequent itemsets; calculating the confidence of each association rule, and selecting strong association rules that meet the minimum confidence threshold from the association rules based on the confidence.
[0012] Furthermore, determining the SO2 concentration level of the coal-fired boiler unit based on the desulfurization flue gas emission level and boiler efficiency includes: determining the SO2 concentration level of the desulfurization flue gas of the coal-fired boiler unit according to the concentration level calculation formula, wherein the concentration level calculation formula is specifically as follows:
[0013]
[0014] Where L represents the SO2 concentration level, C represents the desulfurization flue gas emission level, and E represents the boiler efficiency. α R is the preset standard boiler efficiency, exp is the preset range coefficient, and exp is the natural exponential function.
[0015] Further, determining the desulfurization flue gas emission amount based on the SO2 concentration level of the coal-fired boiler unit includes: obtaining a preset standard concentration level; calculating the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level; determining whether the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is greater than a second preset threshold; if the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is greater than the second preset threshold, then setting the first emission amount as the desulfurization flue gas emission amount; if the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is less than or equal to the second preset threshold, then determining whether the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is greater than a third preset threshold; if the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is greater than the third preset threshold, then setting the second emission amount as the desulfurization flue gas emission amount; if the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is less than or equal to the third preset threshold, then setting the third emission amount as the desulfurization flue gas emission amount.
[0016] To achieve the above objectives, the present invention also provides a desulfurization flue gas emission control system for coal-fired boilers, including...
[0017] The calculation module is used to obtain the emission level parameters of each operating equipment in the coal-fired boiler unit, and determine the desulfurization flue gas emission level of the coal-fired boiler unit based on the emission level parameters of each operating equipment; the mining module is used to obtain the historical operating data of each operating equipment in the coal-fired boiler unit, mine the strong correlation rules of the historical operating data, and determine the boiler efficiency of the current coal-fired boiler unit based on the strong correlation rules; the emission module is used to determine the SO2 concentration level of the coal-fired boiler unit based on the desulfurization flue gas emission level and the boiler efficiency, and determine the desulfurization flue gas emission amount based on the SO2 concentration level of the coal-fired boiler unit.
[0018] The beneficial effects of this invention are as follows:
[0019] By applying the above technical solution, this invention optimizes and controls the desulfurization flue gas emissions of the unit by comprehensively considering the desulfurization flue gas emission level and boiler efficiency. When the SO2 concentration in the desulfurization flue gas is too high, the emission amount is appropriately reduced, thereby achieving dynamic control of the desulfurization flue gas emission and meeting the requirements for ultra-clean desulfurization flue gas emissions. Attached Figure Description
[0020] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0021] Figure 1 A general flowchart of a method for controlling flue gas emissions from a coal-fired boiler, as proposed in an embodiment of the present invention, is shown.
[0022] Figure 2 A schematic diagram of a desulfurization flue gas emission control system for a coal-fired boiler, as proposed in an embodiment of the present invention, is shown. Detailed Implementation
[0023] The technical solutions of the embodiments of this application 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. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0024] This application provides a method for controlling the emissions of desulfurized flue gas from a coal-fired boiler, such as... Figure 1 As shown, it includes:
[0025] S101, obtain the emission level parameters of each operating equipment of the coal-fired boiler unit, and determine the desulfurization flue gas emission level of the coal-fired boiler unit based on the emission level parameters of each operating equipment.
[0026] In some embodiments of this application, determining the desulfurization flue gas emission level of a coal-fired boiler unit based on the emission level parameters of each operating device includes: clustering each operating device of the coal-fired boiler unit according to the emission level parameters, and determining the cluster center of the corresponding cluster partition for each operating device based on the clustering results; obtaining the emission level parameters of each cluster center, and determining the initial emission level of the operating devices within the cluster partition based on the emission level parameters corresponding to the cluster center; obtaining any target operating device, calculating the influence coefficient between the emission level parameters of the remaining operating devices and the target operating device, and screening out the remaining operating devices whose influence coefficients on the target operating device are greater than a first preset threshold; extracting the influencing operating devices that are in the same cluster partition as the target operating device and whose influence coefficients are greater than the first preset threshold, correcting the initial emission level based on the average influence coefficient of all influencing operating devices, and obtaining the emission level of the target operating device; obtaining the emission levels of all operating devices, and determining the desulfurization flue gas emission level based on the emission levels of all operating devices.
[0027] In this embodiment, operating equipment parameters affecting the SO2 concentration in the desulfurization flue gas are collected, such as boiler furnace temperature, absorber slurry pH, and circulating pump flow rate. These operating equipment parameters are then categorized based on the SO2 concentration in the generated flue gas to obtain the emission level parameters for the operating equipment. Clustering is used to divide each operating equipment into different cluster partitions, and the initial emission level of the operating equipment within each partition is determined based on the cluster center value. Simultaneously, operating equipment within the same cluster partition that influences the initial emission level of the target operating equipment is selected and corrected to obtain the final emission level. Since the emission level parameters of operating equipment within the same cluster partition are at the same level, the degree of influence between the emission level parameters can be more accurately reflected, resulting in a more precise emission level. Finally, the desulfurization flue gas emission level is determined based on the average emission level of all operating equipment.
[0028] In some embodiments of this application, the step of clustering the operating equipment of a coal-fired boiler unit according to emission level parameters includes: establishing a sample dataset based on the emission level parameters of each operating equipment of the coal-fired boiler unit; randomly selecting k initial cluster centers from the sample dataset; calculating the Manhattan distance from the sample data in the sample dataset to the initial cluster centers; dividing each operating equipment into corresponding cluster partitions based on the Manhattan distance from the sample data in the sample dataset to the initial cluster centers; calculating the mean of the sample data of the operating equipment in each cluster partition; recalculating the cluster centers based on the mean of the sample data of the operating equipment in each cluster partition; repeating the clustering steps iteratively until the cluster centers no longer change or the number of iterations reaches a preset maximum number of iterations, thereby obtaining the clustering results of the operating equipment.
[0029] In this embodiment, the k-means clustering algorithm is used to cluster each operating device according to the emission level parameters. In this embodiment, the k value is set to 5, and each operating device is clustered into 5 cluster partitions.
[0030] In some embodiments of this application, calculating the influence coefficient between the emission level parameters of the remaining operating equipment and any target operating equipment includes: obtaining the historical emission level parameters of the target operating equipment and the remaining operating equipment; plotting the historical emission level parameter variation curves of the target operating equipment and the remaining operating equipment over time; calculating the correlation coefficient between the emission level parameters of the target operating equipment and the remaining operating equipment based on the historical emission level parameter variation curves; and determining the influence coefficient between the emission level parameters of the remaining operating equipment and the target operating equipment based on the correlation coefficient between the emission level parameters of the target operating equipment and the remaining operating equipment.
[0031] In this embodiment, a historical emission level parameter change curve is plotted based on the historical emission level parameter changes of each operating device. The influence coefficient between the emission level parameters of the target operating device and the emission level parameters of the other operating devices is obtained by calculating the Pearson correlation coefficient between the target operating device and the emission level parameters of the other operating devices.
[0032] In some embodiments of this application, the step of correcting the initial emission level based on the average impact coefficient of all affected operating equipment includes: standardizing the average impact coefficient, multiplying the standardized average impact coefficient by the initial emission level of the target operating equipment, and thus completing the correction of the initial emission level.
[0033] In this embodiment, the average influence coefficient is standardized and its range is limited to [0, 2], thereby correcting the initial emission level.
[0034] S102: Obtain historical operating data of each operating equipment of the coal-fired boiler unit, mine strong correlation rules of the historical operating data, and determine the boiler efficiency of the current coal-fired boiler unit based on the strong correlation rules.
[0035] In some embodiments of this application, the step of mining strong association rules from historical operating data and determining the boiler efficiency of the current coal-fired boiler unit based on these strong association rules includes: determining the historical operating parameters and corresponding boiler efficiencies of each operating device based on historical operating data of each operating device in the coal-fired boiler unit; establishing an association dataset based on the historical operating parameters and corresponding boiler efficiencies of each operating device; standardizing the association dataset; mining frequent itemsets from the standardized association dataset using the Apriori association rule algorithm; determining strong association rules between the historical operating parameters of each operating device and the boiler efficiency based on the frequent itemsets of the standardized association dataset; and matching the real-time operating parameters of each operating device with the strong association rules to obtain the boiler efficiency of the current coal-fired boiler unit.
[0036] In some embodiments of this application, the step of mining frequent itemsets of a standardized association dataset based on the Apriori association rule algorithm, and determining strong association rules between historical operating parameters of each operating device and boiler efficiency based on the frequent itemsets of the standardized association dataset, includes: discretizing the standardized association dataset to obtain a discretized association dataset; converting the discretized association dataset into a transactional data format to obtain a transactional association dataset; setting a minimum support threshold and a minimum confidence threshold, and iteratively scanning the transactional association dataset using the Apriori algorithm to generate candidate itemsets; calculating the support of each candidate itemset, and selecting frequent itemsets that meet the minimum support threshold from the candidate itemsets based on the support, and generating association rules based on the frequent itemsets; calculating the confidence of each association rule, and selecting strong association rules that meet the minimum confidence threshold from the association rules based on the confidence.
[0037] In this embodiment, the historical operating data of the operating equipment is mined based on the Apriori algorithm to extract the boiler efficiency corresponding to the historical operating parameter set of each operating equipment. Then, the historical operating parameter set of each operating equipment is matched with strong correlation rules to obtain the boiler efficiency of the current coal-fired boiler unit.
[0038] S103, determine the SO2 concentration level of the coal-fired boiler unit based on the desulfurization flue gas emission level and boiler efficiency, and determine the desulfurization flue gas emission amount based on the SO2 concentration level of the coal-fired boiler unit.
[0039] In some embodiments of this application, determining the SO2 concentration level of a coal-fired boiler unit based on the desulfurization flue gas emission level and boiler efficiency includes: determining the SO2 concentration level of the desulfurization flue gas of the coal-fired boiler unit according to a concentration level calculation formula, wherein the concentration level calculation formula is specifically as follows:
[0040]
[0041] Where L represents the SO2 concentration level, C represents the desulfurization flue gas emission level, and E represents the boiler efficiency. α R is the preset standard boiler efficiency, exp is the preset range coefficient, and exp is the natural exponential function.
[0042] In this embodiment, the SO2 concentration level of the flue gas emitted by the coal-fired boiler unit is determined by the boiler efficiency and the desulfurization flue gas emission level. The preset range coefficient R is an empirical value, which is set based on the historical value of the boiler efficiency E.
[0043] In some embodiments of this application, determining the desulfurization flue gas emission amount based on the SO2 concentration level of the coal-fired boiler unit includes: obtaining a preset standard concentration level; calculating the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level; determining whether the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is greater than a second preset threshold; if the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is greater than the second preset threshold, then setting the first emission amount as the desulfurization flue gas emission amount; if the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is less than or equal to the second preset threshold, then determining whether the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is greater than a third preset threshold; if the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is greater than the third preset threshold, then setting the second emission amount as the desulfurization flue gas emission amount; if the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is less than or equal to the third preset threshold, then setting the third emission amount as the desulfurization flue gas emission amount.
[0044] In this embodiment, the first emission amount > the second emission amount > the third emission amount are set. The emission amount of desulfurized flue gas is determined by the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level. The higher the difference, the lower the corresponding emission amount. When the SO2 concentration in the desulfurized flue gas is too high, the emission amount is appropriately reduced to achieve dynamic control of the desulfurized flue gas emission amount and meet the requirements of ultra-clean emission of desulfurized flue gas.
[0045] Based on the same technological concept, such as Figure 2 As shown, the present invention also provides a desulfurization flue gas emission control system for coal-fired boilers, comprising:
[0046] The calculation module is used to obtain the emission level parameters of each operating equipment in the coal-fired boiler unit, and determine the desulfurization flue gas emission level of the coal-fired boiler unit based on the emission level parameters of each operating equipment; the mining module is used to obtain the historical operating data of each operating equipment in the coal-fired boiler unit, mine the strong correlation rules of the historical operating data, and determine the boiler efficiency of the current coal-fired boiler unit based on the strong correlation rules; the emission module is used to determine the SO2 concentration level of the coal-fired boiler unit based on the desulfurization flue gas emission level and the boiler efficiency, and determine the desulfurization flue gas emission amount based on the SO2 concentration level of the coal-fired boiler unit.
[0047] By applying the above technical solutions, this invention obtains the emission level parameters of each operating device in a coal-fired boiler unit, determines the desulfurization flue gas emission level of the coal-fired boiler unit based on these parameters, acquires historical operating data of each operating device, mines strong correlation rules from the historical operating data, and determines the current boiler efficiency of the coal-fired boiler unit based on these strong correlation rules, determines the SO2 concentration level of the coal-fired boiler unit based on the desulfurization flue gas emission level and boiler efficiency, and determines the desulfurization flue gas emission amount based on the SO2 concentration level of the coal-fired boiler unit. This invention optimizes and controls the desulfurization flue gas emissions of the unit by comprehensively considering the desulfurization flue gas emission level and boiler efficiency, achieving dynamic control of the desulfurization flue gas emission amount.
[0048] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. 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 spirit and scope of the technical solutions of the embodiments of this application.
Claims
1. A method for controlling flue gas emissions from a coal-fired boiler after desulfurization, characterized in that, include: Obtain the emission level parameters of each operating equipment of the coal-fired boiler unit, and determine the desulfurization flue gas emission level of the coal-fired boiler unit based on the emission level parameters of each operating equipment. Obtain historical operating data of each operating equipment in a coal-fired boiler unit, mine strong correlation rules in the historical operating data, and determine the current boiler efficiency of the coal-fired boiler unit based on the strong correlation rules. The SO2 concentration level of the coal-fired boiler unit is determined based on the desulfurization flue gas emission level and boiler efficiency, and the desulfurization flue gas emission amount is determined based on the SO2 concentration level of the coal-fired boiler unit.
2. The method for controlling flue gas emissions from desulfurized coal-fired boilers according to claim 1, characterized in that, The process of determining the desulfurization flue gas emission level of coal-fired boiler units based on the emission level parameters of each operating device includes: Based on emission level parameters, the operating equipment of each coal-fired boiler unit is clustered, and the cluster center of each operating equipment corresponding to the cluster partition is determined based on the clustering results. Obtain the emission level parameters of each cluster center, and determine the initial emission level of the equipment operating within the cluster partition based on the emission level parameters corresponding to the cluster center; Get any target operating equipment, calculate the influence coefficient between the emission level parameters of the remaining operating equipment and the target operating equipment, and screen out the remaining operating equipment whose influence coefficient on the target operating equipment is greater than the first preset threshold; Extract the affected operating equipment that is in the same cluster partition as the target operating equipment and whose influence coefficient is greater than the first preset threshold. Correct the initial emission level based on the average influence coefficient of all affected operating equipment to obtain the emission level of the target operating equipment. Obtain the emission levels of all operating equipment, and determine the desulfurization flue gas emission level based on the emission levels of all operating equipment.
3. The method for controlling flue gas emissions from desulfurized coal-fired boilers according to claim 2, characterized in that, The clustering of various operating equipment of coal-fired boiler units based on emission level parameters includes: A sample dataset was established based on the emission level parameters of each operating equipment of the coal-fired boiler unit, and k initial cluster centers of the sample dataset were randomly selected. Calculate the Manhattan distance from the sample data in the sample dataset to the initial cluster center, and divide each running device into the corresponding cluster partition based on the Manhattan distance from the sample data in the sample dataset to the initial cluster center; Calculate the mean of the sample data of the operating equipment in each cluster partition, and recalculate the cluster centers based on the mean of the sample data of the operating equipment in each cluster partition; Repeat the clustering steps until the cluster centers no longer change or the number of iterations reaches the preset maximum number of iterations, and obtain the clustering results of the running device.
4. The method for controlling flue gas emissions from desulfurized coal-fired boilers according to claim 2, characterized in that, The calculation of the influence coefficient between the emission level parameters of the remaining operating equipment and any target operating equipment includes: Obtain the historical emission level parameters of the target operating equipment and all other operating equipment, and plot the historical emission level parameter change curves of the target operating equipment and all other operating equipment over time; Calculate the correlation coefficient between the emission level parameters of the target operating equipment and the other operating equipment based on the historical emission level parameter variation curves of the target operating equipment and the other operating equipment, and determine the influence coefficient between the emission level parameters of the other operating equipment and the target operating equipment based on the correlation coefficient between the emission level parameters of the target operating equipment and the other operating equipment.
5. The method for controlling flue gas emissions from desulfurized coal-fired boilers according to claim 2, characterized in that, The correction of the initial emission level based on the average impact coefficient of all affected operating equipment includes: The average impact coefficient is standardized, and the standardized average impact coefficient is multiplied by the initial emission level of the target operating equipment to complete the correction of the initial emission level.
6. The method for controlling flue gas emissions from desulfurized coal-fired boilers according to claim 1, characterized in that, The strong correlation rules for mining historical operating data are used to determine the boiler efficiency of the current coal-fired boiler unit, including: Based on the historical operating data of each operating equipment in the coal-fired boiler unit, determine the historical operating parameters and corresponding boiler efficiencies of each operating equipment, and establish an associated dataset based on the historical operating parameters and corresponding boiler efficiencies of each operating equipment. The associated dataset is standardized, and frequent itemsets of the standardized associated dataset are mined based on the Apriori association rule algorithm. Based on the frequent itemsets of the standardized associated dataset, strong association rules between the historical operating parameters of each operating device and the boiler efficiency are determined. The boiler efficiency of the current coal-fired boiler unit is obtained by matching the real-time operating parameters of each operating device with strong correlation rules.
7. The method for controlling flue gas emissions from desulfurized coal-fired boilers according to claim 6, characterized in that, The method involves mining frequent itemsets from the standardized association dataset using the Apriori association rule algorithm, and determining strong association rules between historical operating parameters of each operating device and boiler efficiency based on these frequent itemsets. This includes: The standardized associated dataset is discretized to obtain a discretized associated dataset. The discretized associative dataset is transformed into a transactional data format to obtain a transactional associative dataset; Set minimum support threshold and minimum confidence threshold, and use the Apriori algorithm to iteratively scan the transactional association dataset to generate a candidate set; Calculate the support of each candidate itemset, and select frequent itemsets that meet the minimum support threshold from the candidate itemsets based on the support. Generate association rules based on the frequent itemsets. Calculate the confidence score of each association rule, and then filter out the strong association rules that meet the minimum confidence score threshold based on the confidence score.
8. The method for controlling flue gas emissions from desulfurized coal-fired boilers according to claim 1, characterized in that, The determination of SO2 concentration levels for coal-fired boiler units based on desulfurization flue gas emission levels and boiler efficiency includes: The SO2 concentration level of the desulfurization flue gas from the coal-fired boiler unit is determined according to the concentration level calculation formula, which is as follows: Where L represents the SO2 concentration level, C represents the desulfurization flue gas emission level, and E represents the boiler efficiency. α R is the preset standard boiler efficiency, exp is the preset range coefficient, and exp is the natural exponential function.
9. The method for controlling flue gas emissions from desulfurized coal-fired boilers according to claim 1, characterized in that, The determination of desulfurization flue gas emissions based on the SO2 concentration level of the coal-fired boiler unit includes: Obtain the preset standard concentration level and calculate the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level; Determine whether the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is greater than the second preset threshold. If the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is greater than the second preset threshold, then set the first emission amount as the desulfurization flue gas emission amount. If the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is less than or equal to the second preset threshold, then it is determined whether the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is greater than the third preset threshold. If the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is greater than the third preset threshold, then the second emission amount will be set as the desulfurization flue gas emission amount. If the difference between the SO2 concentration level of the coal-fired boiler and the preset standard concentration level is less than or equal to the third preset threshold, then the third emission amount will be set as the desulfurization flue gas emission amount.
10. A desulfurization flue gas emission control system for a coal-fired boiler, characterized in that, include The calculation module is used to obtain the emission level parameters of each operating equipment of the coal-fired boiler unit, and determine the desulfurization flue gas emission level of the coal-fired boiler unit based on the emission level parameters of each operating equipment. The mining module is used to obtain historical operating data of each operating equipment of the coal-fired boiler unit, mine strong correlation rules in the historical operating data, and determine the boiler efficiency of the current coal-fired boiler unit based on the strong correlation rules. The emission module is used to determine the SO2 concentration level of the coal-fired boiler unit based on the desulfurization flue gas emission level and boiler efficiency, and to determine the desulfurization flue gas emission amount based on the SO2 concentration level of the coal-fired boiler unit.