Boiler damper opening control method, device, system and storage medium

Abstract

The present invention provides a boiler damper opening control method, device, system, and storage medium, belonging to the field of boiler control. The method comprises: S1: obtaining the original damper opening, time, and original unit power from a DCS system, obtaining the original H2S concentration from an H2S online detection system, and obtaining the original incoming coal calorific value and original incoming coal sulfur content from an online coal quality detection system; S2: respectively using the original damper opening and time, original unit power, original H2S concentration, original incoming coal calorific value, and original incoming coal sulfur content as arrays to obtain an array of original damper openings, and storing all arrays of original damper openings in a preset H2S optimization database. The present invention can reduce the reducing atmosphere in the furnace and the risk of high-temperature corrosion of the water-cooled wall while minimizing the impact on the low-nitrogen combustion effect, thus achieving a balance between low-nitrogen combustion in the boiler and reducing H2S concentration.

Description

Technical Field

[0001] The present invention mainly relates to the technical field of boiler control, and in particular to a boiler damper opening control method, device, system and storage medium. Background Art

[0002] Currently, under the background of low-nitrogen combustion in boilers, the reducing atmosphere in the furnace increases and the risk of high-temperature corrosion of the water-cooled wall intensifies. In order to reduce the H2S concentration, the method of increasing the damper opening is generally adopted. However, increasing the damper opening will affect the low-nitrogen combustion effect. Therefore, it is necessary to find a balance between low-nitrogen combustion in boilers and reducing H2S concentration. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to address the deficiencies of the existing technology and provide a boiler damper opening control method, device, system and storage medium.

[0004] The present invention solves the above technical problems with the following technical solutions: A method for controlling the opening of a boiler damper comprises the following steps:

[0005] S1: Acquire multiple original damper openings, multiple times corresponding to the multiple original damper openings, and original unit power from the DCS system; acquire multiple original H2S concentrations corresponding to the multiple original damper openings from the H2S online detection system; and acquire multiple original feed coal calorific values ​​and original feed coal sulfur contents corresponding to the multiple original damper openings from the coal quality online detection system;

[0006] S2: Arraying each of the original damper openings and the time corresponding to each of the original damper openings, the original unit power, the original H2S concentration, the original calorific value of the incoming coal, and the original sulfur content of the incoming coal, thereby obtaining an array of each of the original damper openings, and storing all the arrays of the original damper openings in a preset H2S optimization database;

[0007] S3: Dividing the array of all the original damper openings in the preset H2S optimization database to obtain multiple target data sets;

[0008] S4: acquiring the real-time damper opening and the real-time unit power corresponding to the real-time damper opening from the DCS system, acquiring the real-time H2S concentration corresponding to the real-time damper opening from the H2S online detection system, and acquiring the real-time calorific value, nitrogen content, and sulfur content of the incoming coal corresponding to the real-time damper opening from the coal quality online detection system;

[0009] S5: Analyzing the damper openings of the plurality of target data sets based on the real-time damper openings and the real-time unit power, real-time H2S concentration, real-time calorific value of incoming coal, and real-time sulfur content of incoming coal corresponding to the real-time damper openings to obtain an initial adjustment damper opening and a target damper opening of the real-time damper openings;

[0010] S6: constructing an H2S prediction model and a NOx prediction model, and analyzing the nitrogen and sulfur concentrations based on the H2S prediction model and the NOx prediction model according to the initial adjustment damper opening of the real-time damper opening, the real-time unit power corresponding to the real-time damper opening, the real-time nitrogen content of the incoming coal, the real-time calorific value of the incoming coal, and the real-time sulfur content of the incoming coal to obtain the nitrogen and sulfur concentrations, and storing the nitrogen and sulfur concentrations in a preset joint optimization database;

[0011] S7: Determine whether the initial adjustment damper opening of the real-time damper opening is equal to the target damper opening of the real-time damper opening; if not, return to loop and execute S4 to S6 until the initial adjustment damper opening of the real-time damper opening is equal to the target damper opening of the real-time damper opening; if so, execute S8;

[0012] S8: Filter out the minimum value of the sum of nitrogen and sulfur concentrations in the preset joint optimization database, and adjust the damper by initially adjusting the damper opening of the real-time damper opening corresponding to the minimum value of the sum of nitrogen and sulfur concentrations.

[0013] Another technical solution of the present invention to solve the above technical problem is as follows: a boiler damper opening control device, comprising:

[0014] a raw data acquisition module, configured to acquire from the DCS system a plurality of raw damper openings, a plurality of times corresponding to the plurality of raw damper openings, and raw unit power, acquire from the H2S online detection system a plurality of raw H2S concentrations corresponding to the plurality of raw damper openings, and acquire from the coal quality online detection system a plurality of raw feed coal calorific values ​​and raw feed coal sulfur contents corresponding to the plurality of raw damper openings;

[0015] an array acquisition module, configured to respectively take each of the original damper openings and the time corresponding to each of the original damper openings, the original unit power, the original H2S concentration, the original calorific value of the incoming coal, and the original sulfur content of the incoming coal as arrays, thereby obtaining an array of each of the original damper openings, and storing the arrays of all the original damper openings in a preset H2S optimization database;

[0016] An array partitioning module, configured to partition the arrays of all the original damper openings in the preset H2S optimization database to obtain a plurality of target data sets;

[0017] a real-time data acquisition module, configured to acquire the real-time damper opening and the real-time unit power corresponding to the real-time damper opening from the DCS system, acquire the real-time H2S concentration corresponding to the real-time damper opening from the H2S online detection system, and acquire the real-time calorific value, nitrogen content, and sulfur content of the incoming coal corresponding to the real-time damper opening from the coal quality online detection system;

[0018] a damper opening analysis module, configured to analyze the damper opening of the plurality of target data sets based on the real-time damper opening and the real-time unit power, real-time H2S concentration, real-time calorific value of the incoming coal, and real-time sulfur content of the incoming coal corresponding to the real-time damper opening, to obtain an initial adjustment damper opening and a target damper opening for the real-time damper opening;

[0019] a nitrogen and sulfur concentration sum analysis module, configured to construct an H2S prediction model and a NOx prediction model, and to analyze the nitrogen and sulfur concentrations based on the H2S prediction model and the NOx prediction model, according to the initial adjustment damper opening of the real-time damper opening, the real-time unit power corresponding to the real-time damper opening, the real-time nitrogen content of the incoming coal, the real-time calorific value of the incoming coal, and the real-time sulfur content of the incoming coal, to obtain the nitrogen and sulfur concentrations, and to store the nitrogen and sulfur concentrations in a preset joint optimization database;

[0020] The damper opening control module is used to determine whether the initial adjustment damper opening of the real-time damper opening is equal to the target damper opening of the real-time damper opening; if not, it returns to the real-time data acquisition module until the initial adjustment damper opening of the real-time damper opening is equal to the target damper opening of the real-time damper opening; if so, it filters out the minimum value of the sum of nitrogen and sulfur concentrations in the preset joint optimization database, and adjusts the damper according to the initial adjustment damper opening of the real-time damper opening corresponding to the minimum value of the sum of nitrogen and sulfur concentrations.

[0021] Based on the above-mentioned boiler damper opening control method, the present invention also provides a boiler damper opening control system.

[0022] Another technical solution of the present invention to solve the above-mentioned technical problem is as follows: A boiler damper opening control system includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the boiler damper opening control method as described above is implemented.

[0023] Based on the above-mentioned boiler damper opening control method, the present invention also provides a computer-readable storage medium.

[0024] Another technical solution of the present invention to solve the above technical problem is as follows: a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the boiler damper opening control method as described above is implemented.

[0025] The beneficial effects of the present invention are as follows: a plurality of target data sets are obtained by dividing all original damper opening arrays in a preset H2S optimization database, and the initial adjustment damper opening and the target damper opening are obtained by analyzing the damper opening of the target data set according to the real-time damper opening and the real-time unit power, the real-time H2S concentration, the real-time furnace coal calorific value and the real-time furnace coal sulfur content, and the initial adjustment damper opening and the target damper opening are obtained based on the H2S prediction model and the NOx prediction model according to the initial adjustment damper opening, the real-time unit power, the real-time furnace coal nitrogen content, the real-time furnace coal calorific value and the real-time furnace coal sulfur content. The nitrogen and sulfur concentrations are analyzed to obtain the nitrogen and sulfur concentrations, and whether the initial adjustment damper opening is equal to the target damper opening is judged until the initial adjustment damper opening is equal to the target damper opening. The minimum value of the nitrogen and sulfur concentrations in the preset joint optimization database is screened out, and the damper is adjusted by the initial adjustment damper opening corresponding to the minimum value of the nitrogen and sulfur concentrations. This can reduce the reducing atmosphere in the furnace and the risk of high-temperature corrosion of the water-cooled wall while minimizing the impact on the low-nitrogen combustion effect, and find a balance between low-nitrogen combustion in the boiler and reducing H2S concentration. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A flow chart of a method for controlling the opening of a boiler damper provided by an embodiment of the present invention;

[0027] Figure 2 A block diagram of another boiler damper opening control system provided by an embodiment of the present invention;

[0028] Figure 3 This is a module block diagram of a boiler air door opening control device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention.

[0030] Figure 1 A flow chart of a boiler damper opening control method provided in an embodiment of the present invention.

[0031] like Figure 1 As shown, a method for controlling the opening of a boiler damper includes the following steps:

[0032] S1: Acquire multiple original damper openings, multiple times corresponding to the multiple original damper openings, and original unit power from the DCS system; acquire multiple original H2S concentrations corresponding to the multiple original damper openings from the H2S online detection system; and acquire multiple original feed coal calorific values ​​and original feed coal sulfur contents corresponding to the multiple original damper openings from the coal quality online detection system;

[0033] S2: Arraying each of the original damper openings and the time corresponding to each of the original damper openings, the original unit power, the original H2S concentration, the original calorific value of the incoming coal, and the original sulfur content of the incoming coal, thereby obtaining an array of each of the original damper openings, and storing all the arrays of the original damper openings in a preset H2S optimization database;

[0034] S3: Dividing the array of all the original damper openings in the preset H2S optimization database to obtain multiple target data sets;

[0035] S4: acquiring the real-time damper opening and the real-time unit power corresponding to the real-time damper opening from the DCS system, acquiring the real-time H2S concentration corresponding to the real-time damper opening from the H2S online detection system, and acquiring the real-time calorific value, nitrogen content, and sulfur content of the incoming coal corresponding to the real-time damper opening from the coal quality online detection system;

[0036] S5: Analyzing the damper openings of the plurality of target data sets based on the real-time damper openings and the real-time unit power, real-time H2S concentration, real-time calorific value of incoming coal, and real-time sulfur content of incoming coal corresponding to the real-time damper openings to obtain an initial adjustment damper opening and a target damper opening of the real-time damper openings;

[0037] S6: constructing an H2S prediction model and a NOx prediction model, and analyzing the nitrogen and sulfur concentrations based on the H2S prediction model and the NOx prediction model according to the initial adjustment damper opening of the real-time damper opening, the real-time unit power corresponding to the real-time damper opening, the real-time nitrogen content of the incoming coal, the real-time calorific value of the incoming coal, and the real-time sulfur content of the incoming coal to obtain the nitrogen and sulfur concentrations, and storing the nitrogen and sulfur concentrations in a preset joint optimization database;

[0038] S7: Determine whether the initial adjustment damper opening of the real-time damper opening is equal to the target damper opening of the real-time damper opening; if not, return to loop and execute S4 to S6 until the initial adjustment damper opening of the real-time damper opening is equal to the target damper opening of the real-time damper opening; if so, execute S8;

[0039] S8: Filter out the minimum value of the sum of nitrogen and sulfur concentrations in the preset joint optimization database, and adjust the damper by initially adjusting the damper opening of the real-time damper opening corresponding to the minimum value of the sum of nitrogen and sulfur concentrations.

[0040] It should be understood that the DCS system, or distributed control system, is a new generation of instrumentation and control systems based on microprocessors. It adopts the design principles of decentralized control functions, centralized display and operation, and a balance of decentralized autonomy and comprehensive coordination. Distributed control systems, abbreviated as DCS, can also be literally translated as "distributed control system" or "distributed computer control system." It utilizes the fundamental design concept of decentralized control and centralized operation and management, employing a multi-layered, hierarchical, cooperative, and autonomous structure. Its key features are centralized management and decentralized control. DCS has found widespread application in various industries, including power generation, metallurgy, and petrochemicals.

[0041] It should be understood that the H2S online detection system mainly uses an in-situ laser hydrogen sulfide online detector, and its main principle is TDLAS (Tunable Diode Laser Absorption Spectroscopy) tunable semiconductor laser absorption spectroscopy. This technology mainly uses the narrow line width and wavelength of the tunable semiconductor laser to change with the injection current to achieve the measurement of a single or several absorption lines of a molecule that are very close and difficult to distinguish. Its main features include: (1) High selectivity, high resolution spectroscopy technology. Due to the "fingerprint" characteristics of the molecular spectrum, it is not interfered by other gases. This feature has obvious advantages over other methods. (2) It is a universal technology that is effective for all active molecules that absorb in the infrared. The same instrument can be easily converted into an instrument for measuring other components by simply changing the laser and standard gas. Due to this feature, it can be easily converted into an instrument for measuring multiple components at the same time. (3) It has the advantages of high speed and high sensitivity.

[0042] Preferably, the coal quality online detection system can be the coal powder combustion online detection and control system in the authorized patent with patent number CN201710697808.3.

[0043] Specifically, the time, unit power (i.e., the original unit power), and damper opening (i.e., the original damper opening) are obtained from the DCS system, the H2S concentration (i.e., the original damper opening) is obtained from the H2S online detection system, and the calorific value of the incoming coal (i.e., the original calorific value of the incoming coal) and the sulfur content of the incoming coal (i.e., the original sulfur content of the incoming coal) are obtained from the coal quality online detection system. These data are formed into an array {time, H2S concentration, unit power, calorific value of the incoming coal, sulfur content of the incoming coal, damper opening} (i.e., the array of the original damper opening), and stored in an H2S optimization database (i.e., the preset H2S optimization database).

[0044] It should be understood that in the H2S optimization database (ie, the preset H2S optimization database), the array is divided into multiple data sets (ie, the target data sets).

[0045] It should be understood that the damper opening (ie, the initially adjusted damper opening) is transmitted to the NOx prediction system (ie, the NOx prediction model) and the H2S prediction system (ie, the H2S prediction model) respectively.

[0046] It should be understood that the minimum value of the sum of the H2S value and the NOx value (i.e. the sum of the nitrogen and sulfur concentrations) is found in the joint optimization database (i.e. the preset joint optimization database), and the damper is adjusted according to the damper opening corresponding to the minimum value (i.e. the initial adjustment damper opening).

[0047] In the above embodiment, multiple target data sets are obtained by partitioning all original damper opening arrays in a preset H2S optimization database. The damper openings of the target data sets are analyzed based on the real-time damper opening, real-time unit power, real-time H2S concentration, real-time incoming coal calorific value, and real-time incoming coal sulfur content to obtain an initial adjustment damper opening and a target damper opening. Based on the H2S prediction model and the NOx prediction model, the nitrogen and sulfur concentrations of the initial adjustment damper opening, the real-time unit power, real-time incoming coal nitrogen content, real-time incoming coal calorific value, and real-time incoming coal sulfur content are analyzed to obtain a nitrogen and sulfur concentration sum. A determination is made as to whether the initial adjustment damper opening is equal to the target damper opening. Once the initial adjustment damper opening is equal to the target damper opening, the minimum value of the nitrogen and sulfur concentration sum in the preset joint optimization database is selected, and the damper is adjusted based on the initial adjustment damper opening corresponding to the minimum value of the nitrogen and sulfur concentration sum. This minimizes the impact on the low-nitrogen combustion effect while reducing the reducing atmosphere in the furnace and the risk of high-temperature corrosion of the water-cooled wall, thereby achieving a balance between low-nitrogen combustion in the boiler and reducing H2S concentration.

[0048] Optionally, as an embodiment of the present invention, the process of S3 includes:

[0049] S31: Filtering out the minimum value of the original unit power corresponding to the array of all the original damper openings to obtain the minimum value of the original unit power;

[0050] S32: Dividing the arrays of all the original damper openings according to the original minimum unit power value to obtain a plurality of first data sets; wherein each of the first data sets includes at least one array of the original damper openings;

[0051] S33: Filtering out the minimum calorific value of the original coal fed into the furnace corresponding to the array of the original air damper opening in each of the first data sets, and obtaining the minimum calorific value of the original coal fed into the furnace in each of the first data sets;

[0052] S34: Dividing the arrays of original damper openings in each of the first data sets according to the minimum calorific value of the original coal fed into the furnace in each of the first data sets, thereby obtaining a plurality of second data sets of each of the first data sets; wherein each of the second data sets includes at least one array of the original damper openings;

[0053] S35: filtering out the minimum sulfur content of the original coal fed into the furnace corresponding to the array of the original air damper opening in each of the second data sets of each of the first data sets, respectively, to obtain the minimum sulfur content of the original coal fed into the furnace in each of the second data sets;

[0054] S36: Divide the array of original damper openings in each second data set according to the minimum sulfur content of the original coal fed into the furnace in each second data set to obtain multiple target data sets; wherein each target data set includes at least one array of original damper openings.

[0055] It should be understood that the array (i.e., the array of all the original damper openings) is grouped according to the unit power (i.e., the original unit power), and the minimum unit power in the H2S optimization database (i.e., the minimum original unit power) is selected.

[0056] It should be understood that the groups are grouped according to the calorific value of the coal entering the furnace (i.e., the original calorific value of the coal entering the furnace), and the array grouped according to the unit power (i.e., the array of the original air damper openings in the first data set) is further grouped according to the calorific value of the coal entering the furnace (i.e., the original calorific value of the coal entering the furnace), and the minimum calorific value of the coal entering the furnace (i.e., the minimum calorific value of the original calorific value of the coal entering the furnace) in each group (i.e., the array of the original air damper openings in the first data set) is selected.

[0057] It should be understood that the grouping is based on the sulfur content of the coal entering the furnace (i.e., the original sulfur content of the coal entering the furnace), and the array grouped according to the unit power and the calorific value of the coal entering the furnace (i.e., the array of the original air damper opening in the second data set) is further grouped according to the sulfur content of the coal entering the furnace (i.e., the original sulfur content of the coal entering the furnace), and the minimum value of the sulfur content of the coal entering the furnace in each group after the "2" grouping (i.e., the minimum value of the original sulfur content of the coal entering the furnace in the second data set) is selected.

[0058] Specifically, at this time, in each data set (i.e., the target data set), the unit power (i.e., the original unit power), the calorific value of the coal entering the furnace (i.e., the calorific value of the original coal entering the furnace), and the sulfur content of the coal entering the furnace (i.e., the sulfur content of the original coal entering the furnace) all fluctuate within a range of 10%.

[0059] In the above embodiment, the array of all original damper openings in the preset H2S optimization database is divided into multiple target data sets, which can ensure that the unit power, calorific value of the incoming coal, and sulfur content of the incoming coal in each data set fluctuate within a range of 10%, laying the foundation for subsequent data processing. While minimizing the impact on the low-nitrogen combustion effect, it can reduce the reducing atmosphere in the furnace and reduce the risk of high-temperature corrosion of the water-cooled wall.

[0060] Optionally, as an embodiment of the present invention, the process of S32 includes:

[0061] S321: Create a first first data set, filter out original unit powers that satisfy a first formula from the original unit powers corresponding to the arrays of the original damper openings, and store the arrays of original unit powers that satisfy the first formula in the arrays of the original damper openings in the first first data set. The first formula is:

[0062] x≤x min ×1.1,

[0063] Wherein, x is the original unit power corresponding to the array of the original damper opening, x min is the minimum power of the original unit;

[0064] S322: Obtain the current unit power iteration number n, where the initial value of n is 1, and create the (n+1)th first data set. Filter the original unit powers that satisfy the second formula from the original unit powers corresponding to the arrays of the original damper openings remaining after the n-th screening, and store the arrays of the original unit powers that satisfy the second formula from the arrays of the original damper openings remaining after the n-th screening in the (n+1)th first data set. The second formula is:

[0065]

[0066] in, is the original unit power corresponding to the array of the original damper openings remaining after the nth screening, x min is the minimum power value of the original unit, and n is the number of iterations of the current unit power;

[0067] S323: Return to loop and execute S322 until all the arrays of the original damper openings are filtered, and a plurality of first data sets are obtained; wherein each of the first data sets includes at least one array of the original damper openings.

[0068] It should be understood that i∈[1, I], where I is the total number of arrays of the original damper openings remaining after the nth screening.

[0069] Specifically, the arrays whose unit power (i.e., the original unit power) is not greater than 1.1 times the minimum unit power (i.e., the original unit power minimum) are grouped into one group (i.e., the first first data set), and the arrays whose unit power (i.e., the original unit power) is greater than 1.1 times the minimum unit power (i.e., the original unit power minimum) and not greater than 1.2 times the minimum unit power (i.e., the original unit power minimum) are grouped into one group (i.e., the second first data set), and so on, until all arrays (i.e., all arrays of the original damper opening after screening) are grouped.

[0070] In the above embodiment, the array of all original damper openings is divided according to the minimum value of the original unit power to obtain multiple first data sets, which are grouped according to the unit power, laying the foundation for subsequent data processing. It can reduce the reducing atmosphere in the furnace and reduce the risk of high-temperature corrosion of the water-cooled wall while minimizing the impact on the low-nitrogen combustion effect.

[0071] Optionally, as an embodiment of the present invention, the process of S34 includes:

[0072] S341: Creating first second data sets for each of the first data sets, respectively, filtering out original coal calorific values ​​that satisfy a third formula from the original coal calorific values ​​corresponding to the arrays of the original damper openings in each of the first data sets, and storing the arrays of original coal calorific values ​​that satisfy the third formula in the arrays of the original damper openings in each of the first data sets in the first second data set, wherein the third formula is:

[0073] y≤y min ×1.1,

[0074] Wherein, y is the original calorific value of the coal fed into the furnace corresponding to the array of the original air door opening in the first data set, y min The minimum calorific value of the original coal fed into the furnace;

[0075] S342: Obtain the current iteration number m of the incoming coal calorific value, where the initial value of m is 1, and create the (m+1)th second data set for each of the first data sets. Filter the original incoming coal calorific values ​​corresponding to the arrays of the original damper openings in each of the first data sets remaining after the (m)th screening to satisfy the fourth formula. Store the original incoming coal calorific values ​​that satisfy the fourth formula in the arrays of the original damper openings in each of the first data sets remaining after the (m)th screening in the (m+1)th second data set. The fourth formula is:

[0076]

[0077] in, The calorific value of the original coal fed into the furnace corresponding to the array of the original air door opening in the jth first data set remaining after the mth screening, y min is the minimum calorific value of the original coal fed into the furnace, and m is the number of iterations of the calorific value of the current coal fed into the furnace;

[0078] S343: Return to loop execution S342 until all arrays of the original damper openings in the filtered first data sets are filtered, thereby obtaining multiple second data sets of each first data set; wherein each second data set includes at least one array of the original damper openings.

[0079] It should be understood that j∈[1, J], where J is the total number of arrays of the original damper openings in the first data set remaining after the mth screening.

[0080] Specifically, the arrays whose calorific value of the coal entering the furnace (i.e., the original calorific value of the coal entering the furnace) is not greater than 1.1 times the minimum calorific value of the coal entering the furnace (i.e., the original minimum calorific value of the coal entering the furnace) are grouped into one group (i.e., the first second data set); the arrays whose calorific value of the coal entering the furnace (i.e., the original calorific value of the coal entering the furnace) is greater than 1.1 times the minimum calorific value of the coal entering the furnace (i.e., the original minimum calorific value of the coal entering the furnace) and not greater than 1.2 times the minimum calorific value of the coal entering the furnace (i.e., the original minimum calorific value of the coal entering the furnace) are grouped into one group (i.e., the second second data set); and so on, until all arrays (i.e., the arrays of the original air damper openings in all the first data sets after screening) are grouped.

[0081] In the above embodiment, the array of the original air damper opening in the first data set is divided according to the minimum calorific value of the original incoming coal in the first data set to obtain multiple second data sets, and grouped according to the calorific value of the incoming coal, which lays the foundation for subsequent data processing. It can reduce the reducing atmosphere in the furnace and reduce the risk of high-temperature corrosion of the water-cooled wall while minimizing the impact on the low-nitrogen combustion effect.

[0082] Optionally, as an embodiment of the present invention, the process of S36 includes:

[0083] S361: Creating a first third data set for each of the second data sets, respectively, filtering out the sulfur content of the original coal fed into the furnace corresponding to the array of the original damper opening in each of the second data sets, and storing the array of the sulfur content of the original coal fed into the furnace that satisfies the fifth formula in the array of the original damper opening in each of the second data sets in the first third data set, wherein the fifth formula is:

[0084] z≤z min ×1.1,

[0085] Wherein, z is the sulfur content of the original coal fed into the furnace corresponding to the array of the original air door opening in the second data set, z min The minimum sulfur content of the coal originally fed into the furnace;

[0086] S362: Obtain the iteration number p of the current incoming coal sulfur content, where the initial value of p is 1, and create the p+1th second data set for each of the second data sets respectively. Filter the original incoming coal sulfur content corresponding to the array of the original air damper opening in each of the second data sets remaining after the pth screening, and filter the original incoming coal sulfur content that satisfies the sixth formula. Store the original incoming coal sulfur content that satisfies the sixth formula in the array of the original air damper opening in each of the second data sets remaining after the pth screening in the p+1th third data set. The sixth formula is:

[0087]

[0088] in, is the sulfur content of the original coal fed into the furnace corresponding to the array of the original air door opening in the second data set remaining after the pth screening, z min is the minimum sulfur content of the original coal fed into the furnace, and p is the number of iterations of the sulfur content of the current coal fed into the furnace;

[0089] S363: Return to the loop and execute S362 until all the arrays of the original air damper openings in the filtered second data sets are filtered, and multiple third data sets of each second data set are obtained, and the third data sets are used as target data sets; wherein each target data set includes at least one array of the original air damper openings.

[0090] It should be understood that q∈[1, Q], where Q is the total number of arrays of the original damper openings in the second data set remaining after the p-th screening.

[0091] Specifically, the array of the sulfur content of the coal entering the furnace (i.e., the original sulfur content of the coal entering the furnace) not greater than 1.1 times the minimum sulfur content of the coal entering the furnace (i.e., the original minimum sulfur content of the coal entering the furnace) is divided into a data set (i.e., the first third data set), and the array of the sulfur content of the coal entering the furnace (i.e., the original sulfur content of the coal entering the furnace) greater than 1.1 times the sulfur content of the coal entering the furnace (i.e., the original minimum sulfur content of the coal entering the furnace) and not greater than 1.2 times the minimum sulfur content of the coal entering the furnace (i.e., the original minimum sulfur content of the coal entering the furnace) is divided into a data set (i.e., the second third data set), and so on, until all arrays (i.e., the arrays of the original damper openings in all the second data sets after screening) are grouped.

[0092] In the above embodiment, the array of the original air damper opening in the second data set is divided according to the minimum sulfur content of the original incoming coal in the second data set to obtain multiple target data sets, and grouped according to the sulfur content of the incoming coal, which lays the foundation for subsequent data processing. It can reduce the reducing atmosphere in the furnace and reduce the risk of high-temperature corrosion of the water-cooled wall while minimizing the impact on the low-nitrogen combustion effect.

[0093] Optionally, as an embodiment of the present invention, the process of S5 includes:

[0094] The real-time unit power, real-time calorific value of the incoming coal, and real-time sulfur content of the incoming coal corresponding to the real-time damper opening are respectively compared with the original unit power, original calorific value of the incoming coal, and original sulfur content of the incoming coal of each of the original damper opening arrays in each of the target data sets; if the real-time unit power, real-time calorific value of the incoming coal, and real-time sulfur content of the incoming coal corresponding to the real-time damper opening are equal to the original unit power, original calorific value of the incoming coal, and original sulfur content of the incoming coal of any of the original damper opening arrays in any of the target data sets, then the target data set corresponding to the original damper opening array in which the original unit power, original calorific value of the incoming coal, and original sulfur content of the incoming coal are equal to the real-time unit power, real-time calorific value of the incoming coal, and real-time sulfur content of the incoming coal corresponding to the real-time damper opening is used as the data set to be processed;

[0095] Filtering out the minimum value of the original H2S concentration corresponding to the original damper opening in the data set to be processed, and taking the minimum value of the original H2S concentration as the optimal H2S concentration value, and taking the original damper opening corresponding to the optimal H2S concentration value as the target damper opening of the real-time damper opening;

[0096] Determine whether the real-time H2S concentration is greater than or equal to the product of the optimal H2S concentration value and a preset concentration coefficient value; if not, use the real-time damper opening as the initial adjustment damper opening; if so, perform an Sum operation on the real-time damper opening and a preset minimum damper opening to obtain a Sum-processed damper opening, and use the Sum-processed damper opening as the initial adjustment damper opening.

[0097] Preferably, the preset concentration coefficient value may be 1.1.

[0098] It should be understood that each data set (i.e., the target data set) is under the same operating condition, and the minimum H2S concentration in each data set (i.e., the target data set) is the optimal H2S concentration under that operating condition, and its corresponding damper opening (i.e., the original damper opening) is the target damper opening under that operating condition.

[0099] Specifically, the data acquired in real time is compared with the data in the H2S optimization database (i.e., the preset H2S optimization database), and the unit power, the calorific value of the incoming coal, and the sulfur content of the incoming coal are compared respectively. If the unit power acquired in real time (i.e., the real-time unit power), the calorific value of the incoming coal (i.e., the real-time calorific value of the incoming coal), and the sulfur content of the incoming coal (i.e., the real-time sulfur content of the incoming coal) are included in the value range of the unit power (i.e., the original unit power), the calorific value of the incoming coal (i.e., the original calorific value of the incoming coal), and the sulfur content of the incoming coal (i.e., the original sulfur content of the incoming coal) in a certain data set (i.e., the target data set), then the H2S concentration acquired in real time (i.e., the real-time H2S concentration) is compared with the optimal H2S concentration value (i.e., the optimal H2S concentration value) in the data set.

[0100] Specifically, if the real-time H2S concentration is less than 1.1 times the H2S optimal value, the damper is not adjusted; if the real-time H2S concentration is greater than or equal to 1.1 times the H2S optimal value, a damper opening (i.e., the initial adjusted damper opening) is obtained by adding the minimum amplitude of damper opening adjustment (i.e., the preset minimum damper opening) to the initial damper opening (i.e., the real-time damper opening).

[0101] It should be understood that the damper opening (ie, the real-time damper opening) is added to the minimum amplitude of damper opening adjustment (ie, the preset minimum damper opening) to obtain a damper opening (ie, the initial adjustment damper opening).

[0102] In the above embodiment, the initial adjustment damper opening and the target damper opening are obtained based on the damper opening analysis of the target data set according to the real-time damper opening, the real-time unit power, the real-time H2S concentration, the real-time calorific value of the incoming coal, and the real-time sulfur content of the incoming coal. This can reduce the reducing atmosphere in the furnace and the risk of high-temperature corrosion of the water-cooled wall while minimizing the impact on the low-nitrogen combustion effect, thereby finding a balance between low-nitrogen combustion in the boiler and reducing the H2S concentration.

[0103] Optionally, as an embodiment of the present invention, the process of S6 includes:

[0104] Construct a multivariate linear regression model and import the unit power training set, the furnace coal calorific value training set, the furnace coal sulfur content training set, the air door opening training set, the furnace temperature training set, and the furnace coal nitrogen content training set;

[0105] The multivariate linear regression model is trained using the unit power training set, the feed coal calorific value training set, the feed coal sulfur content training set, the damper opening training set, and the furnace temperature training set to obtain an H2S prediction model;

[0106] The multiple linear regression model is trained using the unit power training set, the feed coal calorific value training set, the feed coal nitrogen content training set, the damper opening training set, and the furnace temperature training set to obtain a NOx prediction model;

[0107] Based on the H2S prediction model, the H2S concentration is predicted according to the initial adjustment damper opening of the real-time damper opening, the real-time unit power corresponding to the real-time damper opening, the real-time calorific value of the incoming coal, and the real-time sulfur content of the incoming coal to obtain a target H2S concentration;

[0108] Based on the NOx prediction model, the NOx concentration is predicted according to the initial adjustment damper opening of the real-time damper opening, the real-time unit power corresponding to the real-time damper opening, the real-time calorific value of the incoming coal, and the real-time nitrogen content of the incoming coal to obtain a target NOx concentration;

[0109] The target H2S concentration and the target NOx concentration are summed to obtain a sum of nitrogen and sulfur concentrations, and the sum of nitrogen and sulfur concentrations is stored in a preset joint optimization database.

[0110] It should be understood that the NOx prediction system (i.e., the NOx prediction model) outputs the corresponding NOx value (i.e., the target NOx concentration) after receiving the air damper opening adjustment signal, and the H2S prediction system (i.e., the H2S prediction model) outputs the corresponding H2S value (i.e., the target H2S concentration) after receiving the air damper opening adjustment signal. If the NOx prediction system (i.e., the NOx prediction model) does not receive the air damper opening adjustment signal, then the NOx prediction system (i.e., the NOx prediction model) does not output.

[0111] It should be understood that the NOx value (ie, the target NOx concentration) and the H2S value (ie, the target H2S concentration) are added together and stored in the joint optimization database (ie, the preset joint optimization database).

[0112] It should be understood that the air damper opening adjustment signal is transmitted to the H2S prediction system (i.e., the H2S prediction model) and the NOx prediction system (i.e., the NOx prediction model). After receiving the air damper opening adjustment signal, the H2S prediction system (i.e., the H2S prediction model) and the NOx prediction system (i.e., the NOx prediction model) output corresponding H2S values ​​(i.e., the target H2S concentration) and NOx values ​​(i.e., the target NOx concentration).

[0113] Specifically, the H2S prediction system includes the H2S prediction model, which takes the unit power (i.e., the unit power training set), furnace temperature (i.e., the furnace temperature training set), the sulfur content of the incoming coal (i.e., the incoming coal sulfur content training set), the calorific value of the incoming coal (i.e., the incoming coal calorific value training set), and the damper opening (i.e., the damper opening training set) as input, and the H2S concentration as output, constructs a multivariate linear regression equation, and improves the prediction accuracy through large-scale data training. When the unit power, temperature, sulfur content of the incoming coal, and calorific value of the incoming coal remain unchanged, the corresponding H2S concentration (i.e., the target H2S concentration) is obtained by changing the damper opening (i.e., the initial adjustment damper opening of the real-time damper opening).

[0114] Specifically, the NOx prediction system includes the NOx prediction model, which takes the unit power (i.e., the unit power training set), furnace temperature (i.e., the furnace temperature training set), nitrogen content of the coal entering the furnace (i.e., the nitrogen content training set of the coal entering the furnace), calorific value of the coal entering the furnace (i.e., the calorific value training set of the coal entering the furnace), and damper opening (i.e., the damper opening training set) as input, and NOx concentration as output, constructs a multivariate linear regression equation, and improves the prediction accuracy through large-scale data training. When the unit power, temperature, nitrogen content of the coal entering the furnace, and calorific value of the coal entering the furnace remain unchanged, the corresponding NOx concentration (i.e., the target NOx concentration) is obtained by changing the damper opening (i.e., the initial adjustment damper opening of the real-time damper opening).

[0115] In the above embodiment, based on the H2S prediction model and the NOx prediction model, the nitrogen and sulfur concentrations are analyzed according to the initial adjustment of the damper opening, the real-time unit power, the real-time nitrogen content of the coal entering the furnace, the real-time calorific value of the coal entering the furnace, and the real-time sulfur content of the coal entering the furnace. This can reduce the reducing atmosphere in the furnace and the risk of high-temperature corrosion of the water-cooled wall while minimizing the impact on the low-nitrogen combustion effect, thereby finding a balance between low-nitrogen combustion in the boiler and reducing the H2S concentration.

[0116] Alternatively, as another embodiment of the present invention, the present invention obtains time, unit power, and damper opening from the DCS system, obtains H2S concentration from the H2S online detection system, and obtains the calorific value and sulfur content of the incoming coal from the coal quality online detection system to form a collection. Among them, A is time, B is H2S concentration, C is unit power, D is calorific value of coal entering the furnace, E is sulfur content of coal entering the furnace, and F is air door opening. The set is stored in the H2S optimization database.

[0117] According to the above data set partitioning method, the set N in the H2S optimization database is divided into several data sets.

[0118] The real-time data is obtained through the DCS system and the online detection system to form an array {A0, B0, C0, D0, E0, F0}. The H2S comparison control system puts C0, D0, and E0 into the H2S optimization database for comparison and finds the data set. Where 1≤m<n, in the data set M, (C1, C2, ..., C m ) min ≤C0≤(C1,C2,…,C m ) max , (D1, D2, ..., D m ) min ≤D0≤(D1,D2,…,D m ) max , (E1, E2, …, E m ) min ≤E0≤(E1,E2,…,E m ) max , the subscripts min and max represent the minimum and maximum values ​​of the array respectively.

[0119] H2S comparison control system In the data set M, find the minimum value B of H2S concentration p , where 1≤p≤m, then B P is the optimal value of H2S concentration, and the corresponding damper opening is F p , that is, the target air door opening.

[0120] If B0<1.1×B p , the air door is not adjusted.

[0121] If B0 ≥ 1.1 × B p , let the initial damper opening Y0=F0, Y max =F p The minimum adjustment range of the air door opening is ΔY, and the air door opening set Y=(Y1,Y2,…,Y i ), Y i =Y0+i×ΔY, i is the number of damper adjustment, i=1, 2, ..., k, k is Round up; let X0 = B0, H2S concentration calculation value set X = (X1, X2, ..., X i ), X i is the H2S concentration calculated by the H2S prediction model after the damper is adjusted i times; let the NOx concentration calculation value set Z = (Z1, Z2, ..., Z i ), Z i is the NOx concentration calculated by the NOx prediction model after assuming the damper is adjusted i times, Z max is the maximum NOx concentration that meets the emission requirements; let the set of H2S concentration and NOx concentration be T = (T1, T2, ..., T i), where T i =X i +Z i , the set T is stored in the joint optimization database.

[0122] The H2S comparison control system transmits Y1 to the H2S prediction system and the NOx prediction system respectively, and calculates X1 and Z1 through the H2S prediction model and the NOx prediction model, and transmits them to the H2S and NOx joint optimization system. The H2S and NOx joint optimization system adds X1 and Z1, that is, T1=X1+Z1, and stores T1 in the joint optimization database.

[0123] The H2S and NOx joint optimization system judges Z1. If Z1>Z max , at this time there is only one value in the joint optimization database, so the damper opening is not adjusted; if Z1≤Z max The H2S and NOx joint optimization system passes Y2 to the H2S prediction system and the NOx prediction system respectively, and calculates X2 and Z2 through the H2S prediction model and the NOx prediction model, and passes them to the H2S and NOx joint optimization system. The H2S and NOx joint optimization system adds X2 and Z2, that is, T2=X2+Z2, and stores T2 in the joint optimization database.

[0124] Similarly, T1, T2, ..., T i Store in the joint optimization database. After each storage, the H2S and NOx joint optimization system will check the Z i Make a judgment, if Z i >Z max When i=1, the damper opening is not adjusted. When i≠1, the H2S and NOx joint optimization system is in the set (T1, T2, ..., T i-1 ) and transmit the damper opening corresponding to the minimum value to the DCS system. The DCS system transmits the damper opening adjustment signal to the damper opening controller, and the damper opening controller controls the damper adjustment. If Z i ≤Z max First, determine whether i is equal to k. If i = k, then the H2S and NOx joint optimization system is in the set (T1, T2, ..., T i ) and transmit the damper opening corresponding to the minimum value to the DCS system. The DCS system transmits the damper opening adjustment signal to the damper opening controller, and the damper opening controller controls the damper adjustment. If i≠k, the H2S and NOx joint optimization system transmits the next round of damper opening to the H2S online detection system and the NOx online detection system, and then the cycle continues.

[0125] Alternatively, as another embodiment of the present invention, Figure 2As shown, the specific steps of the present invention are as follows:

[0126] Step 1: The DCS system, H2S online detection system and coal quality online detection obtain on-site operation information and store it in the H2S optimization database.

[0127] Step 2: The H2S comparison control system compares the H2S real-time value under the current operating conditions with the H2S optimal value, and transmits the damper opening adjustment signal to the H2S prediction system and the NOx prediction system.

[0128] Step 3: After receiving the damper opening adjustment signal, the H2S prediction system and the NOx prediction system transmit the H2S value and the NOx value to the H2S and NOx joint optimization system.

[0129] Step 4: The H2S and NOx joint optimization system adds the H2S value and the NOx value and stores them in the joint optimization database.

[0130] Step 5: The H2S and NOx joint optimization system searches for the minimum value of the sum of the H2S value and the NOx value in the joint optimization database.

[0131] Step 6: The H2S and NOx joint optimization system transmits the H2S value, NOx value and the damper opening corresponding to the minimum value to the DCS.

[0132] Step 7: DCS transmits the damper opening adjustment signal to the damper opening controller.

[0133] Step 8: The damper opening controller adjusts the damper opening according to the signal transmitted by the DCS.

[0134] Figure 3 This is a module block diagram of a boiler air door opening control device provided by an embodiment of the present invention.

[0135] Alternatively, as another embodiment of the present invention, Figure 3 As shown, a boiler damper opening control device includes:

[0136] a raw data acquisition module, configured to acquire from the DCS system a plurality of raw damper openings, a plurality of times corresponding to the plurality of raw damper openings, and raw unit power, acquire from the H2S online detection system a plurality of raw H2S concentrations corresponding to the plurality of raw damper openings, and acquire from the coal quality online detection system a plurality of raw feed coal calorific values ​​and raw feed coal sulfur contents corresponding to the plurality of raw damper openings;

[0137] an array acquisition module, configured to respectively take each of the original damper openings and the time corresponding to each of the original damper openings, the original unit power, the original H2S concentration, the original calorific value of the incoming coal, and the original sulfur content of the incoming coal as arrays, thereby obtaining an array of each of the original damper openings, and storing the arrays of all the original damper openings in a preset H2S optimization database;

[0138] An array partitioning module, configured to partition the arrays of all the original damper openings in the preset H2S optimization database to obtain a plurality of target data sets;

[0139] a real-time data acquisition module, configured to acquire the real-time damper opening and the real-time unit power corresponding to the real-time damper opening from the DCS system, acquire the real-time H2S concentration corresponding to the real-time damper opening from the H2S online detection system, and acquire the real-time calorific value, nitrogen content, and sulfur content of the incoming coal corresponding to the real-time damper opening from the coal quality online detection system;

[0140] a damper opening analysis module, configured to analyze the damper opening of the plurality of target data sets based on the real-time damper opening and the real-time unit power, real-time H2S concentration, real-time calorific value of the incoming coal, and real-time sulfur content of the incoming coal corresponding to the real-time damper opening, to obtain an initial adjustment damper opening and a target damper opening for the real-time damper opening;

[0141] a nitrogen and sulfur concentration sum analysis module, configured to construct an H2S prediction model and a NOx prediction model, and to analyze the nitrogen and sulfur concentrations based on the H2S prediction model and the NOx prediction model, according to the initial adjustment damper opening of the real-time damper opening, the real-time unit power corresponding to the real-time damper opening, the real-time nitrogen content of the incoming coal, the real-time calorific value of the incoming coal, and the real-time sulfur content of the incoming coal, to obtain the nitrogen and sulfur concentrations, and to store the nitrogen and sulfur concentrations in a preset joint optimization database;

[0142] The damper opening control module is used to determine whether the initial adjustment damper opening of the real-time damper opening is equal to the target damper opening of the real-time damper opening; if not, it returns to the real-time data acquisition module until the initial adjustment damper opening of the real-time damper opening is equal to the target damper opening of the real-time damper opening; if so, it filters out the minimum value of the sum of nitrogen and sulfur concentrations in the preset joint optimization database, and adjusts the damper according to the initial adjustment damper opening of the real-time damper opening corresponding to the minimum value of the sum of nitrogen and sulfur concentrations.

[0143] Alternatively, another embodiment of the present invention provides a boiler damper opening control system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-described boiler damper opening control method is implemented. The system may be a computer or other system.

[0144] Optionally, another embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the boiler damper opening control method as described above is implemented.

[0145] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0146] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0147] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is merely a logical functional division. In actual implementation, other division methods may be used, such as combining or integrating multiple units or components into another system, or ignoring or not implementing certain features.

[0148] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected based on actual needs to achieve the objectives of the embodiments of the present invention.

[0149] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0150] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program code.

[0151] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for controlling the opening of a boiler damper, characterized in that: The steps include: S1: Acquire multiple original damper openings, multiple times corresponding to the multiple original damper openings, and original unit power from the DCS system; acquire multiple original H2S concentrations corresponding to the multiple original damper openings from the H2S online detection system; and acquire multiple original feed coal calorific values ​​and original feed coal sulfur contents corresponding to the multiple original damper openings from the coal quality online detection system; S2: Arraying each of the original damper openings and the time corresponding to each of the original damper openings, the original unit power, the original H2S concentration, the original calorific value of the incoming coal, and the original sulfur content of the incoming coal, thereby obtaining an array of each of the original damper openings, and storing all the arrays of the original damper openings in a preset H2S optimization database; S3: Dividing the array of all the original damper openings in the preset H2S optimization database to obtain multiple target data sets; S4: acquiring the real-time damper opening and the real-time unit power corresponding to the real-time damper opening from the DCS system, acquiring the real-time H2S concentration corresponding to the real-time damper opening from the H2S online detection system, and acquiring the real-time calorific value, nitrogen content, and sulfur content of the incoming coal corresponding to the real-time damper opening from the coal quality online detection system; S5: Analyzing the damper openings of the plurality of target data sets based on the real-time damper openings and the real-time unit power, real-time H2S concentration, real-time calorific value of incoming coal, and real-time sulfur content of incoming coal corresponding to the real-time damper openings to obtain an initial adjustment damper opening and a target damper opening of the real-time damper openings; S6: constructing an H2S prediction model and a NOx prediction model, and analyzing the nitrogen and sulfur concentrations based on the H2S prediction model and the NOx prediction model according to the initial adjustment damper opening of the real-time damper opening, the real-time unit power corresponding to the real-time damper opening, the real-time nitrogen content of the incoming coal, the real-time calorific value of the incoming coal, and the real-time sulfur content of the incoming coal to obtain the nitrogen and sulfur concentrations, and storing the nitrogen and sulfur concentrations in a preset joint optimization database; S7: determining whether the initial adjustment damper opening of the real-time damper opening is equal to the target damper opening of the real-time damper opening; If not, the process returns to the loop and executes steps S4 to S6 until the initial adjustment damper opening of the real-time damper opening is equal to the target damper opening of the real-time damper opening; If yes, execute S8; S8: Filter out the minimum value of the sum of nitrogen and sulfur concentrations in the preset joint optimization database, and adjust the damper by initially adjusting the damper opening of the real-time damper opening corresponding to the minimum value of the sum of nitrogen and sulfur concentrations.

2. The boiler damper opening control method according to claim 1, characterized in that: The S3 process includes: S31: Filtering out the minimum value of the original unit power corresponding to the array of all the original damper openings to obtain the minimum value of the original unit power; S32: Dividing the arrays of all the original damper openings according to the original minimum unit power value to obtain a plurality of first data sets; wherein each of the first data sets includes at least one array of the original damper openings; S33: Filtering out the minimum calorific value of the original coal fed into the furnace corresponding to the array of the original air damper opening in each of the first data sets, and obtaining the minimum calorific value of the original coal fed into the furnace in each of the first data sets; S34: Dividing the arrays of original damper openings in each of the first data sets according to the minimum calorific value of the original coal fed into the furnace in each of the first data sets, thereby obtaining a plurality of second data sets of each of the first data sets; wherein each of the second data sets includes at least one array of the original damper openings; S35: filtering out the minimum sulfur content of the original coal fed into the furnace corresponding to the array of the original air damper opening in each of the second data sets of each of the first data sets, respectively, to obtain the minimum sulfur content of the original coal fed into the furnace in each of the second data sets; S36: Divide the array of original damper openings in each second data set according to the minimum sulfur content of the original coal fed into the furnace in each second data set to obtain multiple target data sets; wherein each target data set includes at least one array of original damper openings.

3. The boiler damper opening control method according to claim 2, characterized in that: The process of S32 includes: S321: Create a first first data set, filter out original unit powers that satisfy a first formula from the original unit powers corresponding to the arrays of the original damper openings, and store the arrays of original unit powers that satisfy the first formula in the arrays of the original damper openings in the first first data set. The first formula is: x≤x min ×1.1, Wherein, x is the original unit power corresponding to the array of the original damper opening, x min is the minimum power of the original unit; S322: Obtain the current unit power iteration number n, where the initial value of n is 1, and create the (n+1)th first data set. Filter the original unit powers that satisfy the second formula from the original unit powers corresponding to the arrays of the original damper openings remaining after the n-th screening, and store the arrays of the original unit powers that satisfy the second formula from the arrays of the original damper openings remaining after the n-th screening in the (n+1)th first data set. The second formula is: in, is the original unit power corresponding to the array of the original damper openings remaining after the nth screening, x min is the minimum power value of the original unit, and n is the number of iterations of the current unit power; S323: Return to loop and execute S322 until all the arrays of the original damper openings are filtered, and a plurality of first data sets are obtained; wherein each of the first data sets includes at least one array of the original damper openings.

4. The boiler damper opening control method according to claim 2, characterized in that: The process of S34 includes: S341: Creating first second data sets for each of the first data sets, respectively, filtering out original coal calorific values ​​that satisfy a third formula from the original coal calorific values ​​corresponding to the arrays of the original damper openings in each of the first data sets, and storing the arrays of original coal calorific values ​​that satisfy the third formula in the arrays of the original damper openings in each of the first data sets in the first second data set, wherein the third formula is: y≤y min ×1.1, Wherein, y is the original calorific value of the coal fed into the furnace corresponding to the array of the original air door opening in the first data set, y min The minimum calorific value of the original coal fed into the furnace; S342: Obtain the current iteration number m of the incoming coal calorific value, where the initial value of m is 1, and create the (m+1)th second data set for each of the first data sets. Filter the original incoming coal calorific values ​​corresponding to the arrays of the original damper openings in each of the first data sets remaining after the (m)th screening to satisfy the fourth formula. Store the original incoming coal calorific values ​​that satisfy the fourth formula in the arrays of the original damper openings in each of the first data sets remaining after the (m)th screening in the (m+1)th second data set. The fourth formula is: in, The calorific value of the original coal fed into the furnace corresponding to the array of the original air door opening in the jth first data set remaining after the mth screening, y min is the minimum calorific value of the original coal fed into the furnace, and m is the number of iterations of the calorific value of the current coal fed into the furnace; S343: Return to loop execution S342 until all arrays of the original damper openings in the filtered first data sets are filtered, thereby obtaining multiple second data sets of each first data set; wherein each second data set includes at least one array of the original damper openings.

5. The boiler damper opening control method according to claim 2, characterized in that: The process of S36 includes: S361: Creating a first third data set for each of the second data sets, respectively, filtering out the sulfur content of the original coal fed into the furnace corresponding to the array of the original damper opening in each of the second data sets, and storing the array of the sulfur content of the original coal fed into the furnace that satisfies the fifth formula in the array of the original damper opening in each of the second data sets in the first third data set, wherein the fifth formula is: z≤z min ×1.1, Wherein, z is the sulfur content of the original coal fed into the furnace corresponding to the array of the original air door opening in the second data set, z min The minimum sulfur content of the coal originally fed into the furnace; S362: Obtain the iteration number p of the current incoming coal sulfur content, where the initial value of p is 1, and create the p+1th second data set for each of the second data sets respectively. Filter the original incoming coal sulfur content corresponding to the array of the original air damper opening in each of the second data sets remaining after the pth screening, and filter the original incoming coal sulfur content that satisfies the sixth formula. Store the original incoming coal sulfur content that satisfies the sixth formula in the array of the original air damper opening in each of the second data sets remaining after the pth screening in the p+1th third data set. The sixth formula is: in, is the sulfur content of the original coal fed into the furnace corresponding to the array of the original air door opening in the second data set remaining after the pth screening, z min is the minimum sulfur content of the original coal fed into the furnace, and p is the number of iterations of the sulfur content of the current coal fed into the furnace; S363: Return to the loop and execute S362 until all the arrays of the original air damper openings in the filtered second data sets are filtered, and multiple third data sets of each second data set are obtained, and the third data sets are used as target data sets; wherein each target data set includes at least one array of the original air damper openings.

6. The boiler damper opening control method according to claim 1, characterized in that: The S5 process includes: The real-time unit power, real-time calorific value of the incoming coal, and real-time sulfur content of the incoming coal corresponding to the real-time damper opening are respectively compared with the original unit power, original calorific value of the incoming coal, and original sulfur content of the incoming coal of each of the original damper opening arrays in each of the target data sets; if the real-time unit power, real-time calorific value of the incoming coal, and real-time sulfur content of the incoming coal corresponding to the real-time damper opening are equal to the original unit power, original calorific value of the incoming coal, and original sulfur content of the incoming coal of any of the original damper opening arrays in any of the target data sets, then the target data set corresponding to the original damper opening array in which the original unit power, original calorific value of the incoming coal, and original sulfur content of the incoming coal are equal to the real-time unit power, real-time calorific value of the incoming coal, and real-time sulfur content of the incoming coal corresponding to the real-time damper opening is used as the data set to be processed; Filtering out the minimum value of the original H2S concentration corresponding to the original damper opening in the data set to be processed, and taking the minimum value of the original H2S concentration as the optimal H2S concentration value, and taking the original damper opening corresponding to the optimal H2S concentration value as the target damper opening of the real-time damper opening; Determine whether the real-time H2S concentration is greater than or equal to the product of the optimal H2S concentration value and a preset concentration coefficient value; if not, use the real-time damper opening as the initial adjustment damper opening; if so, perform an Sum operation on the real-time damper opening and a preset minimum damper opening to obtain a Sum-processed damper opening, and use the Sum-processed damper opening as the initial adjustment damper opening.

7. The boiler damper opening control method according to claim 1, characterized in that: The S6 process includes: Construct a multivariate linear regression model and import the unit power training set, the furnace coal calorific value training set, the furnace coal sulfur content training set, the air door opening training set, the furnace temperature training set, and the furnace coal nitrogen content training set; The multivariate linear regression model is trained using the unit power training set, the feed coal calorific value training set, the feed coal sulfur content training set, the damper opening training set, and the furnace temperature training set to obtain an H2S prediction model; The multiple linear regression model is trained using the unit power training set, the feed coal calorific value training set, the feed coal nitrogen content training set, the damper opening training set, and the furnace temperature training set to obtain a NOx prediction model; Based on the H2S prediction model, the H2S concentration is predicted according to the initial adjustment damper opening of the real-time damper opening, the real-time unit power corresponding to the real-time damper opening, the real-time calorific value of the incoming coal, and the real-time sulfur content of the incoming coal to obtain a target H2S concentration; Based on the NOx prediction model, the NOx concentration is predicted according to the initial adjustment damper opening of the real-time damper opening, the real-time unit power corresponding to the real-time damper opening, the real-time calorific value of the incoming coal, and the real-time nitrogen content of the incoming coal to obtain a target NOx concentration; The target H2S concentration and the target NOx concentration are summed to obtain a sum of nitrogen and sulfur concentrations, and the sum of nitrogen and sulfur concentrations is stored in a preset joint optimization database.

8. A boiler damper opening control device, characterized in that: include: a raw data acquisition module, configured to acquire from the DCS system a plurality of raw damper openings, a plurality of times corresponding to the plurality of raw damper openings, and raw unit power, acquire from the H2S online detection system a plurality of raw H2S concentrations corresponding to the plurality of raw damper openings, and acquire from the coal quality online detection system a plurality of raw feed coal calorific values ​​and raw feed coal sulfur contents corresponding to the plurality of raw damper openings; an array acquisition module, configured to respectively take each of the original damper openings and the time corresponding to each of the original damper openings, the original unit power, the original H2S concentration, the original calorific value of the incoming coal, and the original sulfur content of the incoming coal as arrays, thereby obtaining an array of each of the original damper openings, and storing the arrays of all the original damper openings in a preset H2S optimization database; An array partitioning module, configured to partition the arrays of all the original damper openings in the preset H2S optimization database to obtain a plurality of target data sets; a real-time data acquisition module, configured to acquire the real-time damper opening and the real-time unit power corresponding to the real-time damper opening from the DCS system, acquire the real-time H2S concentration corresponding to the real-time damper opening from the H2S online detection system, and acquire the real-time calorific value, nitrogen content, and sulfur content of the incoming coal corresponding to the real-time damper opening from the coal quality online detection system; a damper opening analysis module, configured to analyze the damper opening of the plurality of target data sets based on the real-time damper opening and the real-time unit power, real-time H2S concentration, real-time calorific value of the incoming coal, and real-time sulfur content of the incoming coal corresponding to the real-time damper opening, to obtain an initial adjustment damper opening and a target damper opening for the real-time damper opening; a nitrogen and sulfur concentration sum analysis module, configured to construct an H2S prediction model and a NOx prediction model, and to analyze the nitrogen and sulfur concentrations based on the H2S prediction model and the NOx prediction model, according to the initial adjustment damper opening of the real-time damper opening, the real-time unit power corresponding to the real-time damper opening, the real-time nitrogen content of the incoming coal, the real-time calorific value of the incoming coal, and the real-time sulfur content of the incoming coal, to obtain the nitrogen and sulfur concentrations, and to store the nitrogen and sulfur concentrations in a preset joint optimization database; a damper opening control module, configured to determine whether the initial adjustment damper opening of the real-time damper opening is equal to the target damper opening of the real-time damper opening; If not, return to the real-time data acquisition module until the initial adjustment damper opening of the real-time damper opening is equal to the target damper opening of the real-time damper opening; If so, the minimum value of the sum of nitrogen and sulfur concentrations in the preset joint optimization database is screened out, and the damper is adjusted by the initial adjustment damper opening of the real-time damper opening corresponding to the minimum value of the sum of nitrogen and sulfur concentrations.

9. A boiler damper opening control system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the boiler damper opening control method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the boiler damper opening control method according to any one of claims 1 to 7 is implemented.

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