A dust removal and desulfurization standard emission collaborative optimization system

Abstract

This invention discloses a synergistic optimization system for dust removal and desulfurization to achieve emission standards, comprising: a desulfurization tower for wet desulfurization of flue gas; a dust removal device for treating the flue gas dust after desulfurization; an emission device for controlling the emission of the dust-removed flue gas; a detection module for real-time monitoring of basic data of the flue gas in the aforementioned devices; an operation setting module for predicting the operating load of the devices in various time periods based on the basic data and generating prediction results; and a control module for controlling the operation of the aforementioned devices based on the prediction results. This invention sets the operating sequence and position of dry dust removal and wet demisting, while simultaneously capturing the flue gas, thereby improving the efficiency of dust removal and demisting. By synergizing dry electrostatic dust removal, wet desulfurization, wet demisting, and integrated emission, and considering the overall dust removal effect, the system rationally allocates the segmented output of dust removal, desulfurization, and emission through prediction, thereby reducing the overall energy consumption of the dust removal and desulfurization systems and achieving the goal of reducing plant power consumption.

Description

Technical Field

[0001] This invention relates to the field of desulfurization system technology for thermal power plants, and more specifically to a synergistic optimization system for dust removal, desulfurization, and emission compliance. Background Technology

[0002] Currently, most large-scale coal-fired power plants in my country have installed environmental protection devices such as desulfurization and dust removal, which has controlled air pollution from coal-fired power plant flue gas to a certain extent. However, with economic development and the improvement of people's living standards, the demand for air quality is also increasing, which has driven the introduction of higher environmental protection standards and the implementation of new environmental protection laws. This has led to higher requirements for flue gas pollutant emissions from coal-fired power plants under the new circumstances. In addition, the flue gas environmental protection facilities and technologies currently configured in thermal power units are mostly focused on "extensive" total quantity control to achieve emission standards, which is difficult to meet the current demand for refined and in-depth control of pollutants in air quality. Especially in regions with different economic levels and environmental conditions, there is a need for environmental protection technologies adapted to local characteristics to solve regional air pollution problems in a targeted manner at a lower cost.

[0003] In the process of dust removal, desulfurization, and emission control, the desulfurization process is not carried out in real time, and dust removal, desulfurization, and ultra-clean emission are handled by different departments. This means that these three systems cannot be started or stopped according to actual conditions, often resulting in energy losses for the power plant. Secondly, because the desulfurization process takes place in a closed desulfurization tower, it is difficult for external parties to intelligently intervene in the dust removal and emission processes. Therefore, how to achieve a collaborative optimization system for dust removal, desulfurization, and emission control that can reduce energy consumption, ensure compliant flue gas emissions, and provide visualized operation has become a technical problem to be solved in this field. Summary of the Invention

[0004] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0005] A dust removal and desulfurization emission synergistic optimization system includes:

[0006] A desulfurization tower is used for wet desulfurization of flue gas;

[0007] A dust removal device is installed inside the desulfurization tower to treat the dust after flue gas desulfurization;

[0008] An emission device, which is connected to the outlet of the desulfurization tower, is used to control the emission of flue gas after dust removal;

[0009] The detection module is connected to the desulfurization tower, the dust removal device and the emission device respectively, and is used to detect the basic data of flue gas in the above devices in real time.

[0010] The operation setting module, which is connected to the detection module, is used to predict the operating load of the desulfurization tower, the dust removal device and the emission device in each time period based on the basic data, and generate prediction results;

[0011] The control module is signal-connected to the operation setting module and electrically connected to the desulfurization tower, the dust removal device, and the emission device. The control module controls the operation of the above devices based on the prediction results.

[0012] Preferably, in the above-mentioned synergistic optimization system for dust removal and desulfurization to achieve emission standards, the desulfurization tower further includes:

[0013] The first capturing component is installed on the inner wall of the top of the desulfurization tower to capture the flue gas after desulfurization and discharge it along the outlet of the desulfurization tower after the flue gas is integrated.

[0014] Preferably, in the above-mentioned synergistic optimization system for dust removal and desulfurization to achieve emission standards, the dust removal device includes:

[0015] A dry dust removal component is installed at the beginning of the outlet pipe of the desulfurization tower and is used to perform electrostatic dust collection on the captured flue gas.

[0016] A wet demisting component is installed at the beginning of the outlet pipe of the desulfurization tower and located behind the dry dust removal component. It performs demisting operation on the flue gas after dry dust removal by spraying.

[0017] A drive component 1 is electrically connected to the dry dust removal component and is used to control the operation of the dry dust removal component;

[0018] The second driving component is electrically connected to the wet demisting component and is used to control the operation of the wet demisting component.

[0019] Preferably, in the above-mentioned synergistic optimization system for dust removal and desulfurization to achieve emission standards, the emission device includes:

[0020] Capture component two is located at the end of the outlet pipe of the desulfurization tower and is used to capture the exhaust gas after it has been treated by the dust removal device.

[0021] The third driving component is electrically connected to the second capturing component and is used to control the action of the second capturing component.

[0022] Preferably, in the above-mentioned synergistic optimization system for dust removal and desulfurization to achieve emission standards, the detection module includes:

[0023] A sulfur content detection unit is installed at one inlet of the capture component to detect the sulfur concentration data of the flue gas after wet desulfurization in real time.

[0024] A dust content detection unit is installed at the outlet pipe of the desulfurization tower and between the dry dust removal component and the wet demisting component. It is used to detect the dust concentration data of the flue gas after dry dust removal in real time.

[0025] A mist content detection unit is installed at the outlet pipe of the desulfurization tower and located after the wet demisting component. It is used to detect the mist concentration data of the flue gas after spray demisting in real time.

[0026] A load detection unit is connected to the first drive component, the second drive component, and the third drive component, respectively, and is used to detect the load data of the drive components in real time.

[0027] The basic data consists of sulfur concentration data, dust concentration data, fog concentration data, and their corresponding load data.

[0028] Preferably, in the above-mentioned synergistic optimization system for dust removal and desulfurization to achieve emission standards, the operation setting module includes:

[0029] The data receiving unit is signal-connected to the sulfur content detection unit, the dust content detection unit, the fog content detection unit, and the load detection unit, and is used to receive sulfur concentration data, dust concentration data, fog concentration data, and load data in real time.

[0030] The classification unit is connected to the data receiving unit and has a preset set of sulfur concentration ranges, dust concentration ranges, and fog concentration ranges. The classification unit organizes the detected basic data into the corresponding range sets to form a parameter subset within a parameter set, which contains multiple parameter subsets with different parameters and different ranges. Each parameter subset contains multiple load data of the drive components corresponding to that parameter and range.

[0031] An integration unit is connected to the data receiving unit and has several time period sets preset. Each time period set is used to store basic data of each time period corresponding to it within a day, and the time period set is divided into several time period subsets according to the time and parameter category of the detected basic data.

[0032] The training unit is connected to the classification unit and the integration unit; the training unit calculates the load standard for each parameter subset, so that each parameter subset corresponds to a load standard; the training unit calculates the basic data standard for each time period subset, so that each time period subset corresponds to a basic data standard.

[0033] A database, connected to the training unit, is used to store each of the parameter subsets and their corresponding load standards, as well as each of the time period subsets and their corresponding basic data standards.

[0034] Preferably, in the above-mentioned synergistic optimization system for dust removal and desulfurization to achieve emission standards, the process by which the training unit calculates the load standard and the basic data standard includes:

[0035] Step 1: Substitute the load data within each parameter subset into the load standard model; substitute the basic data of the corresponding parameters within each time period subset into the basic data standard model.

[0036] Step two: Insert the calculation results into the corresponding original parameter subset and time period subset;

[0037] Step 3: Store the parameter subset and time period subset of the inserted results into the database.

[0038] Preferably, in the above-mentioned synergistic optimization system for dust removal and desulfurization to achieve emission standards, the load standard model and the basic data standard model include:

[0039] The load standard model is:

[0040] Among them, P a For the load standard of this parameter subset, P1+P2+…+P n The sum of load data within this parameter subset, where n is the number of load data within this parameter subset;

[0041] The basic data standard model is as follows:

[0042] Where, N a The basic data standard for this subset of time periods is N1+N2+…+N m This represents the total data for the corresponding parameters within the subset of this time period, where m is the number of basic data within the subset of this time period.

[0043] Preferably, in the above-mentioned synergistic optimization system for dust removal and desulfurization to achieve emission standards, the control module includes:

[0044] The control module searches the database for a subset of time periods that are the same as the current time, and organizes the sulfur content data standards, dust content data standards, and fog content data standards inserted in the subset of time periods with different parameters into a prediction set.

[0045] Search for parameter subsets corresponding to the sulfur content data standards, dust content data standards, and fog content data standards in the prediction set, obtain the corresponding load data standards inserted into the multiple parameter subsets, and send them to the prediction set.

[0046] The operating states of drive component one, drive component two, and drive component three are controlled according to the load data standards in the prediction set, thereby driving the operation of the dry dust removal component, the wet demisting component, and the capture component two.

[0047] Preferably, in the above-mentioned synergistic optimization system for dust removal and desulfurization to achieve emission standards, the database further includes a display unit:

[0048] The display unit plots a basic data standard-time curve graph for each time period subset in the database according to its corresponding time.

[0049] The display unit inserts the load data standards of each parameter subset in the database into the basic data standard-time curve graph.

[0050] As can be seen from the above technical solution, the beneficial effects of this application compared with the prior art are as follows:

[0051] 1. This invention sets the operating sequence and position of dry dust removal and wet demisting, and captures flue gas at the same time, which can improve the dust removal and demisting effect;

[0052] 2. This invention integrates dry electrostatic precipitator, wet desulfurization, wet demisting, and integrated emissions, taking into account the overall dust removal effect. Through prediction, it rationally allocates the segmented output of dry electrostatic precipitator, wet desulfurization, wet demisting, and integrated emissions to reduce the overall energy consumption of the dust removal system and desulfurization system, thereby reducing the plant's electricity consumption.

[0053] 3. This invention can visualize the actual conditions of the desulfurization system, dust removal system, and emission system by plotting the data, thus assisting personnel in making adjustments. Attached Figure Description

[0054] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0055] Figure 1 This is a system flowchart of the present invention. Detailed Implementation

[0056] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0057] In this invention, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; the term "multiple" refers to two or more unless otherwise explicitly defined. The terms "install," "connect," "link," and "fix" should be interpreted broadly. For example, "connect" can be a fixed connection, a detachable connection, or an integral connection; "link" can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0058] In the description of this invention, it should be understood that the terms "upper," "lower," "left," "right," "front," "rear," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or unit referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0059] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0060] Example 1

[0061] In one embodiment, see Figure 1 A dust removal and desulfurization emission synergistic optimization system includes:

[0062] A desulfurization tower is used for wet desulfurization of flue gas;

[0063] The dust removal device is installed inside the desulfurization tower to treat the dust after flue gas desulfurization;

[0064] An emission device, connected to the outlet of the desulfurization tower, is used to control the emission of flue gas after dust removal;

[0065] The detection module is connected to the desulfurization tower, dust removal device and emission device respectively, and is used to detect the basic data of flue gas in the above devices in real time.

[0066] The operation setting module, which is connected to the detection module, is used to predict the operating load of the desulfurization tower, dust removal device and emission device in each time period based on the basic data, and generate prediction results.

[0067] The control module is signal-connected to the operation setting module and electrically connected to the desulfurization tower, dust removal device, and emission device. The control module controls the operation of the above devices based on the prediction results.

[0068] The principle of the above embodiment is as follows: desulfurization tower, dust removal device and emission device are used to desulfurize, remove dust and emit flue gas respectively, and detection module is used to detect each item in the system, find the pattern between multiple detection results and the pattern between the detection results and each time period of the day, train according to the pattern, and then train the control module to drive each device to achieve the effect of collaborative optimization.

[0069] The beneficial effects of the above embodiments are: under the premise of ensuring that sulfur dioxide and particulate matter emissions meet the standards, dry dust removal, wet desulfurization and emissions are coordinated, the overall dust removal effect is considered, and the segmented output of dust removal, desulfurization system and emissions is reasonably allocated to reduce the overall energy consumption of dust removal system and desulfurization system, thereby achieving the goal of reducing plant power consumption.

[0070] Example 2

[0071] In one embodiment, see Figure 1 A dust removal and desulfurization emission compliant optimization system, the desulfurization tower also includes: a capture component 1, which is set on the inner wall of the top of the desulfurization tower, used to capture the flue gas after desulfurization treatment, and discharge the flue gas along the outlet of the desulfurization tower after integration;

[0072] The dust removal device includes: a dry dust removal component, which is installed at the beginning of the outlet pipe of the desulfurization tower and is used to perform electrostatic dust collection on the captured flue gas; a wet demisting component, which is installed at the beginning of the outlet pipe of the desulfurization tower and located behind the dry dust removal component, and performs demisting on the flue gas after dry dust removal by spraying; a first drive component, which is electrically connected to the dry dust removal component and is used to control the operation of the dry dust removal component; and a second drive component, which is electrically connected to the wet demisting component and is used to control the operation of the wet demisting component.

[0073] The emission device includes: a second capture component, which is located at the end of the outlet pipe of the desulfurization tower and is used to capture the exhaust gas after it has been treated by the dust removal device; and a third drive component, which is electrically connected to the second capture component and is used to control the action of the second capture component.

[0074] Among them, the first capture component uses pressure change to capture the flue gas after desulfurization in the desulfurization tower, and the second capture component works in the same way; the dry dust removal component is preferably a dry electrostatic precipitator, and the wet demisting component is preferably a spraying equipment, which sprays water mist onto the flue gas through pressure nozzles, and can adsorb mist while removing dust again.

[0075] The beneficial effects of the above embodiments are: the dust removal steps are ordered to enhance the dust removal effect, and the flue gas is captured twice by the capture unit, thereby preventing flue gas escape and uneven dust removal.

[0076] Example 3

[0077] In one embodiment, see Figure 1 A dust removal and desulfurization emission compliant synergistic optimization system, the detection module includes:

[0078] The sulfur content detection unit is located at one inlet of the capture component and is used to detect the sulfur concentration data of the flue gas after wet desulfurization in real time.

[0079] The dust content detection unit is installed at the outlet pipe of the desulfurization tower and is located between the dry dust removal component and the wet demisting component. It is used to detect the dust concentration data of the flue gas after dry dust removal in real time.

[0080] The mist content detection unit is installed at the outlet pipe of the desulfurization tower and is located after the wet demisting component. It is used to detect the mist concentration data of the flue gas after spray demisting in real time.

[0081] The load detection unit is connected to drive component one, drive component two and drive component three respectively, and is used to detect the load data of the drive components in real time.

[0082] The basic data consists of sulfur concentration data, dust concentration data, fog concentration data, and their corresponding load data.

[0083] The beneficial effect of the above embodiments is that by acquiring various data inside the desulfurization tower in real time, a data foundation is provided for the intelligent optimization and intelligent control of the system.

[0084] Example 4

[0085] In one embodiment, see Figure 1 A dust removal and desulfurization emission compliant synergistic optimization system, the operation setting module includes:

[0086] The data receiving unit is connected to the sulfur content detection unit, dust content detection unit, fog content detection unit and load detection unit for real-time reception of sulfur concentration data, dust concentration data, fog concentration data and load data.

[0087] The classification unit is connected to the data receiving unit and has a set of sulfur concentration ranges, dust concentration ranges, and fog concentration ranges preset. The classification unit organizes the detected basic data into the corresponding range sets, forming a parameter subset within a total parameter set, which contains multiple parameter subsets with different parameters and different ranges. Each parameter subset contains multiple load data of the drive components corresponding to that parameter and range.

[0088] The integration unit is connected to the data receiving unit and has several time period sets preset. Each time period set is used to store the basic data of each time period corresponding to it within a day. Based on the time and parameter category of the detected basic data, the time period set is divided into several time period subsets.

[0089] The training unit is connected to the classification unit and the integration unit; the training unit calculates the load standard for each parameter subset so that each parameter subset corresponds to a load standard; the training unit calculates the basic data standard for each time period subset so that each time period subset corresponds to a basic data standard.

[0090] The database, which is connected to the training unit, is used to store various parameter subsets and their corresponding load standards, as well as various time period subsets and their corresponding basic data standards.

[0091] The process of calculating the load standard and the basic data standard by the training unit includes:

[0092] Step 1: Substitute the load data within each parameter subset into the load standard model; substitute the basic data of the corresponding parameters within each time period subset into the basic data standard model.

[0093] Step two: Insert the calculation results into the corresponding original parameter subset and time period subset;

[0094] Step 3: Store the parameter subset and time period subset of the inserted results into the database;

[0095] The load standard model and the basic data standard model include:

[0096] The standard load model is

[0097] Among them, P a For the load standard of this parameter subset, P1+P2+…+P n The sum of load data within this parameter subset, where n is the number of load data within this parameter subset;

[0098] The basic data standard model is

[0099] Where, N a The basic data standard for this subset of time periods is N1+N2+…+N m This represents the total data for the corresponding parameters within the subset of this time period, where m is the number of basic data within the subset of this time period.

[0100] The beneficial effects of the above embodiments are as follows: data is classified by time and data range, and set into different time periods and categories, so that different time periods correspond to different data standard values, and different detection data correspond to different load standard values; in the process of calculating the standard, the average model is used, which can better reflect the correlation between the predicted value and the actual value, and improve the accuracy of prediction, thereby improving the accuracy of control; through prediction, the segmented output of dry electrostatic precipitator, wet desulfurization, wet demisting and integrated emission can be reasonably allocated to reduce the comprehensive energy consumption of the dust removal system and the desulfurization system, thereby achieving the goal of reducing plant power consumption.

[0101] Example 5

[0102] In one embodiment, see Figure 1 A dust removal and desulfurization emission compliant synergistic optimization system, the control module of which includes:

[0103] Based on the current time, the control module searches the database for a subset of time periods that are the same as the current time, and organizes the sulfur content data standards, dust content data standards, and fog content data standards inserted in the subset of time periods with different parameters into a prediction set.

[0104] Search for parameter subsets corresponding to the sulfur content data standards, dust content data standards, and fog content data standards in the prediction set, obtain the corresponding load data standards inserted into the corresponding parameter subsets, and send them to the prediction set.

[0105] Based on the load data standards in the prediction set, control the working status of drive component one, drive component two, and drive component three, thereby driving the actions of the dry dust removal component, wet demisting component, and capture component two.

[0106] The beneficial effect of the above embodiments is that the load of the drive components is adjusted according to different times, so as to realize fully automatic control of dust removal and emission.

[0107] Example 6

[0108] In one embodiment, see Figure 1 A collaborative optimization system for dust removal and desulfurization to achieve emission standards; the database also includes a display unit.

[0109] The display unit plots a basic data standard-time curve for each subset of data in the database according to its corresponding time period.

[0110] The display unit inserts the load data standards of each parameter subset in the database into the basic data standard-time curve graph.

[0111] The beneficial effects of the above embodiments are: they solve the problem that it is difficult for personnel to intelligently intervene in the dust removal and emission process during desulfurization, realize the visualization of the system, and assist personnel in making adjustments.

[0112] It should be noted that the system provided in the above embodiments is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be merged into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the various modules or steps and are not considered as an improper limitation of the present invention.

[0113] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent in such process, method, article, or apparatus / device.

[0114] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0115] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims and their equivalents, this invention is also intended to include these modifications and variations in the above description of the disclosed embodiments, enabling those skilled in the art to implement or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, this invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A synergistic optimization system for dust removal and desulfurization to achieve emission standards, characterized in that, include: A desulfurization tower is used for wet desulfurization of flue gas; A dust removal device is installed inside the desulfurization tower to treat the dust after flue gas desulfurization; An emission device, which is connected to the outlet of the desulfurization tower, is used to control the emission of flue gas after dust removal; The detection module is connected to the desulfurization tower, the dust removal device and the emission device respectively, and is used to detect the basic data of flue gas in the above devices in real time. The operation setting module, which is connected to the detection module, is used to predict the operating load of the desulfurization tower, the dust removal device and the emission device in each time period based on the basic data, and generate prediction results; The control module is signal-connected to the operation setting module and electrically connected to the desulfurization tower, the dust removal device, and the emission device. The control module controls the operation of the above devices according to the prediction results. The desulfurization tower also includes: The first capturing component is installed on the inner wall of the top of the desulfurization tower to capture the flue gas after desulfurization and discharge it uniformly through the outlet of the desulfurization tower. The dust removal device includes: A dry dust removal component is installed at the beginning of the outlet pipe of the desulfurization tower and is used to perform electrostatic dust collection on the captured flue gas. A wet demisting component is installed at the beginning of the outlet pipe of the desulfurization tower and located behind the dry dust removal component. It performs demisting operation on the flue gas after dry dust removal by spraying. A drive component 1 is electrically connected to the dry dust removal component and is used to control the operation of the dry dust removal component; The second driving component is electrically connected to the wet demisting component and is used to control the operation of the wet demisting component. The emission device includes: Capture component two is located at the end of the outlet pipe of the desulfurization tower and is used to capture the exhaust gas after it has been treated by the dust removal device. Drive component three, which is electrically connected to capture component two, is used to control the action of capture component two; The detection module includes: A sulfur content detection unit is installed at one inlet of the capture component to detect the sulfur concentration data of the flue gas after wet desulfurization in real time. A dust content detection unit is installed at the outlet pipe of the desulfurization tower and between the dry dust removal component and the wet demisting component. It is used to detect the dust concentration data of the flue gas after dry dust removal in real time. A mist content detection unit is installed at the outlet pipe of the desulfurization tower and located after the wet demisting component. It is used to detect the mist concentration data of the flue gas after spray demisting in real time. A load detection unit is connected to the first drive component, the second drive component, and the third drive component, respectively, and is used to detect the load data of the drive components in real time. The basic data consists of sulfur concentration data, dust concentration data, fog concentration data, and their corresponding load data. The operation setting module includes: The data receiving unit is signal-connected to the sulfur content detection unit, the dust content detection unit, the fog content detection unit, and the load detection unit, and is used to receive sulfur concentration data, dust concentration data, fog concentration data, and load data in real time. The classification unit is connected to the data receiving unit and has a preset set of sulfur concentration ranges, dust concentration ranges, and fog concentration ranges. The classification unit organizes the detected basic data into the corresponding range sets to form a parameter subset within a parameter set, which contains multiple parameter subsets with different parameters and different ranges. Each parameter subset contains multiple load data of the drive components corresponding to that parameter and range. An integration unit is connected to the data receiving unit and has several time period sets preset. Each time period set is used to store basic data of each time period corresponding to it within a day, and the time period set is divided into several time period subsets according to the time and parameter category of the detected basic data. The training unit is connected to the classification unit and the integration unit; the training unit calculates the load standard for each parameter subset, so that each parameter subset corresponds to a load standard; the training unit calculates the basic data standard for each time period subset, so that each time period subset corresponds to a basic data standard. A database, connected to the training unit, is used to store each of the parameter subsets and their corresponding load standards, as well as each of the time period subsets and their corresponding basic data standards.

2. The dust removal and desulfurization emission synergistic optimization system according to claim 1, characterized in that, The process by which the training unit calculates the load standard and the basic data standard includes: Step 1: Substitute the load data within each parameter subset into the load standard model; substitute the basic data of the corresponding parameters within each time period subset into the basic data standard model. Step two: Insert the calculation results into the corresponding original parameter subset and time period subset; Step 3: Store the parameter subset and time period subset of the inserted results into the database.

3. The dust removal and desulfurization emission synergistic optimization system according to claim 2, characterized in that, The load standard model and the basic data standard model include: The load standard model is: ; in, For the load standard of this subset of parameters, This is the sum of the load data within this subset of parameters. This refers to the number of load data points within this subset of parameters. The basic data standard model is as follows: ; in, This serves as the basic data standard for a subset of data within that time period. This represents the sum of the corresponding parameters within the subset of that time period. This represents the number of basic data points within the subset of that time period.

4. The dust removal and desulfurization emission synergistic optimization system according to claim 3, characterized in that, The control module includes: The control module searches the database for a subset of time periods that are the same as the current time, and organizes the sulfur content data standards, dust content data standards, and fog content data standards inserted in the subset of time periods with different parameters into a prediction set. Search for parameter subsets corresponding to the sulfur content data standard, dust content data standard, and fog content data standard in the prediction set, obtain the corresponding load data standards inserted into the multiple parameter subsets, and send them to the prediction set. The operating states of drive component one, drive component two, and drive component three are controlled according to the load data standards in the prediction set, thereby driving the operation of the dry dust removal component, the wet demisting component, and the capture component two.

5. The dust removal and desulfurization emission synergistic optimization system according to claim 4, characterized in that, The database also includes a display unit: The display unit plots a basic data standard-time curve graph of the basic data standards of each time period subset in the database according to its corresponding time. The display unit inserts the load data standards of each parameter subset in the database into the basic data standard-time curve graph.

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