Accurate combustion regulation and control system for coal-fired boiler

By collecting and analyzing real-time data in the coal-fired boiler combustion control system, and combining preset thresholds for judgment and control, the existing system has been solved, and the accuracy and safety of combustion control is achieved.

CN119594426APending Publication Date: 2025-03-11国家能源集团谏壁发电厂 +2
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Patent Information

Application Number
CN202411827973.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-12
Publication Date
2025-03-11

AI Technical Summary

Technical Problem

The existing coal-fired boiler combustion control system is relatively low in intelligence, lacks self-learning and adaptability, and cannot dynamically adjust based on real-time data, which affects the accuracy of the combustion control system and leads to insufficient fuel combustion or deflagration.

Method used

An accurate combustion control system was designed. By collecting flame size, flame position, temperature, pressure and air flow rate data, comparing it with preset thresholds, we judge whether there is an abnormality in the boiler, and real-time control is carried out based on the abnormal data, to improve the accuracy of the combustion control system.

Benefits of technology

It improves the accuracy of the combustion control system, avoids insufficient fuel combustion, and can predict and prevent deflagration in advance.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of coal-fired boiler combustion regulation and control, and discloses a precise combustion regulation and control system for a coal-fired boiler, which comprises a boiler combustion data acquisition module, a boiler combustion data analysis module and a control module. According to the accurate combustion regulation and control system for the coal-fired boiler, the function relation between the flame size and the flame position serves as a reference factor for judging combustion in the boiler, and meanwhile temperature data, pressure data and air velocity data are calculated to serve as auxiliary reference factors; the temperature data, the pressure data and the air velocity data obtained through calculation are compared with preset threshold values respectively, whether the numerical values exceed the preset threshold values or not is judged, and whether the boiler is abnormal or not is judged by combining the abnormal flame size with the abnormality generated by the temperature data, the pressure data and the air velocity data. And corresponding real-time control is performed on the boiler according to the corresponding abnormal data, so that the accuracy of the combustion regulation and control system is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of combustion control of coal-fired boilers, and in particular to a precise combustion control system for coal-fired boilers. Background Art

[0002] A coal-fired boiler is a device that uses coal as fuel to heat water or generate steam. The heat energy generated by the combustion of coal is transferred to the water or other working fluids in the boiler, causing them to heat up, evaporate or heat up, and is used for heating, power generation or industrial production.

[0003] Coal-fired boilers are usually composed of furnaces, combustion equipment, heat exchange equipment, control systems, etc. Coal burns in the furnace, releasing heat energy, converting water into steam or heating the heating system. Coal-fired boilers are widely used in industrial production, heating systems, power plants and other fields, and are a traditional and common type of boiler.

[0004] The combustion control system is a system used to control and optimize the combustion process. In coal-fired boilers, the combustion control system can ensure the full combustion of coal, improve combustion efficiency, reduce pollutant emissions, and maintain the stability and safety of boiler operation. However, some of the current combustion control systems have a low degree of intelligence, lack self-learning and adaptive capabilities, and cannot be dynamically adjusted according to real-time data, which in turn affects the accuracy of the combustion control system, resulting in incomplete combustion of the fuel and even deflagration. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the deficiencies in the prior art, the present invention provides a precise combustion control system for a coal-fired boiler, which has the advantages of using the functional relationship between flame size and flame position as a reference factor for judging combustion in the boiler, and at the same time, respectively calculating temperature data, pressure data and air flow rate data as auxiliary reference factors, and comparing the calculated temperature data, pressure data and air flow rate data with preset thresholds, respectively, to judge whether these values ​​exceed the preset thresholds, and combining the flame size anomaly with the anomaly generated by the temperature data, pressure data and air flow rate data to judge whether the boiler has an abnormality, and making corresponding real-time control of the boiler according to the corresponding abnormal data, thereby improving the accuracy of the combustion control system and avoiding incomplete combustion of the fuel. At the same time, it can predict in advance whether deflagration will occur and make corresponding control to avoid the occurrence of deflagration on site, etc., thereby solving the above-mentioned problems.

[0007] (II) Technical solution

[0008] To achieve the above object, the present invention provides the following technical solution: a precise combustion control system for a coal-fired boiler, characterized in that it includes a boiler combustion data acquisition module, a boiler combustion data analysis module and a control module;

[0009] The boiler data acquisition module preferably includes a flame radiation infrared sensing unit, a boiler temperature acquisition unit, a pressure acquisition unit and an air flow rate sensing unit;

[0010] The flame radiation infrared sensor unit is used to collect real-time size data and real-time position data of the flame in the boiler, wherein the real-time size data of the flame is the size of the two-dimensional area measured when the flame is burning, expressed as M, and the real-time position data of the flame is the position data in the two-dimensional coordinates measured when the flame is burning, expressed as H(X,Y);

[0011] The boiler temperature acquisition unit is used to collect real-time temperature data of the boiler during combustion, which is represented by W. The pressure acquisition unit is used to collect real-time pressure data of the boiler during combustion, which is represented by yl. The air flow rate sensor unit is used to collect real-time air flow rate data of the port position of the internal air intake pipe of the boiler during combustion, which is represented by LS.

[0012] The boiler combustion data acquisition module collects the flame real-time size data M, flame real-time position data H (X, Y), real-time temperature data W, real-time pressure data yl and real-time air flow rate data LS to form a data set every 10 data collected. The flame real-time size data set is represented as {M n-9 、M n-8 , ..., M n}, the flame real-time position data set is represented as {H n-9 (X n-9 ,Y n-9 ), H n-8 (X n-8 ,Y n-8 ),...,H n (X n ,Y n )}, the real-time temperature data set is represented by {W n-9 , W n-8 , ..., W n}, the real-time pressure data set is represented by {yl n-9 ,y n-8 ,..., yl n}, the real-time air velocity data set is represented as {LS n-9 LS n-8 ,...,LS n}, and n-9, n-8, ..., n in the set represent that each data in each set data set is 10 consecutive data, and the boiler combustion data acquisition module sends each data set to the boiler combustion data analysis module;

[0013] The boiler combustion data analysis module pre-processes the flame real-time size data set, flame real-time position data set, real-time temperature data set, real-time pressure data set and real-time air flow rate data respectively to obtain the flame size value ZM, flame position data ZH (ZX, ZY), temperature data ZW, pressure data Zyl and air flow rate data ZLS;

[0014] The boiler combustion data analysis module calculates the flame size prediction value YM according to the flame position data ZH (ZX, ZY), and compares the flame size prediction value YM with the flame size value ZM to determine whether the flame state is abnormal. When an abnormality occurs, an abnormal signal one is issued. The boiler combustion data analysis module compares the calculated temperature data ZW with the preset temperature threshold Wyz to determine whether the boiler temperature is abnormal. When an abnormality occurs, an abnormal signal two is issued. The boiler combustion data analysis module compares the calculated pressure data Zyl with the preset pressure threshold Ylyz to determine whether the pressure in the boiler is abnormal. When an abnormality occurs, an abnormal signal three is issued. The boiler combustion data analysis module compares the calculated air flow rate data ZLS with the preset air flow rate threshold LSyz to determine whether the air flow rate of the air intake pipe is abnormal. When an abnormality occurs, an abnormal signal four is issued.

[0015] The boiler combustion data analysis module sends the multiple abnormal signals to the control module;

[0016] The control module controls the boiler to reduce pressure or increase or decrease air flow rate according to the corresponding abnormal signal.

[0017] Preferably, the ZX algorithm is expressed as follows:

[0018]

[0019] The algorithm expression of ZY is as follows:

[0020]

[0021] In the formula, i=n-9 represents the X in the flame real-time position data set. n-9 and Y n-9 Start counting, 10 means X n-9 ~X n and Y n-9 ~Y n Each set of data has 10, X i and Yi Respectively represent from X n-9 , Y n-9 The calculation is started and the result is used as the flame position to form the flame position data ZH (ZX, ZY).

[0022] Preferably, the algorithm expression of the flame size value ZM is as follows:

[0023]

[0024] In the formula, 10 means that the number of flame real-time size data sets is 10. M represents the flame real-time size dataset n-9 ~M n The product of is obtained, and the average value obtained by square root is taken as the flame size value ZM.

[0025] Preferably, the flame size prediction value YM algorithm expression is as follows:

[0026]

[0027] In the formula, e is the natural number base, -(ZX 2 +ZY 2 ) represents a negative quadratic form, which is the negative square of the distance from the point (ZX, ZY) to the origin (0,0) in the two-dimensional coordinate system. The farther the point (ZX, ZY) is from the origin, the greater the -(ZX 2 +ZY 2 ) is smaller, the larger the YM value is.

[0028] Preferably, the temperature data ZW algorithm expression is as follows:

[0029]

[0030] In the formula, 10 means there are 10 data in the real-time temperature data set, and i=n-9 means there are 10 data in the real-time temperature data set. n-9 Start calculating.

[0031] Preferably, the pressure data Zyl algorithm expression is as follows:

[0032]

[0033] In the formula, 10 means there are 10 data in the real-time pressure data set, and i=n-9 means yl n-9 Start calculating.

[0034] Preferably, the ZLS algorithm expression of the air velocity data is as follows:

[0035]

[0036] In the formula, 10 means that there are 10 data in the real-time pressure data set, and the calculation starts from the real-time temperature data set.

[0037] Preferably, the data analysis module compares the flame size prediction value YM with the flame size value ZM in the following manner:

[0038] When the flame size prediction value YM is equal to the flame size value ZM, it is determined that the combustion in the boiler is in a normal state;

[0039] When the flame size prediction value YM is greater than the flame size value ZM, it is determined that the combustion in the boiler is in excess fuel or is about to explode;

[0040] When the flame size prediction value YM is less than the flame size value ZM, it is determined that the combustion in the boiler is in an incomplete combustion state.

[0041] Preferably, when the control module receives abnormal signal 1 and abnormal signal 4 at the same time, it determines that there is insufficient air in the boiler, resulting in incomplete combustion, and sends a signal to increase the air flow rate;

[0042] When the control module receives the abnormal signal 3 and the abnormal signal 2 at the same time, it determines that the pressure in the boiler is too high and sends a pressure reduction signal;

[0043] When the control module receives abnormal signal 1, abnormal signal 2 and abnormal signal 3 simultaneously, it determines that there is an impending explosion or excess fuel in the boiler, and sends a signal to stop feeding and reduce air flow rate.

[0044] Preferably, the control module controls the air flow rate, pressure relief and feed of the boiler according to the air flow rate increase signal, pressure reduction signal, feed stop and air flow rate reduction signal.

[0045] Compared with the prior art, the present invention provides a precise combustion control system for coal-fired boilers, which has the following beneficial effects:

[0046] The present invention uses the functional relationship between flame size and flame position as a reference factor for judging combustion in a boiler, and at the same time, calculates temperature data, pressure data and air flow rate data as auxiliary reference factors, and compares the calculated temperature data, pressure data and air flow rate data with preset thresholds to judge whether these values ​​exceed the preset thresholds, and combines the flame size anomaly with the anomaly generated by the temperature data, pressure data and air flow rate data to judge whether the boiler has an abnormality, and makes corresponding real-time control of the boiler according to the corresponding abnormal data, thereby improving the accuracy of the combustion control system and avoiding incomplete combustion of the fuel. At the same time, it can predict in advance whether deflagration will occur and make corresponding control to avoid the occurrence of deflagration on site. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] Since some of the current combustion control systems have a low level of intelligence, lack of self-learning and adaptive capabilities, and cannot be dynamically adjusted according to real-time data, which in turn affects the accuracy of the combustion control system, causing incomplete combustion of fuel and even deflagration. Therefore, a precise combustion control system for coal-fired boilers is proposed. Please refer to Figure 1 The system includes: a boiler combustion data acquisition module, a boiler combustion data analysis module and a control module, wherein;

[0050] The boiler data acquisition module preferably includes a flame radiation infrared sensor unit, a boiler temperature acquisition unit, a pressure acquisition unit and an air flow rate sensor unit. The flame radiation infrared sensor unit is used to collect the real-time size data and real-time position data of the flame in the boiler. The real-time size data of the flame is the size of the two-dimensional area measured when the flame is burning, expressed as M, and the real-time position data of the flame is the position data in the two-dimensional coordinates measured when the flame is burning, expressed as H(X,Y);

[0051] The boiler temperature acquisition unit is used to collect the real-time temperature data of the boiler during combustion, which is represented by W. The pressure acquisition unit is used to collect the real-time pressure data of the boiler during combustion, which is represented by yl. The air flow rate sensor unit is used to collect the real-time air flow rate data of the port position of the internal air intake pipe of the boiler during combustion, which is represented by LS.

[0052] The boiler data acquisition module also summarizes the collected data. Specifically, the collected flame real-time size data M, flame real-time position data H(X,Y), real-time temperature data W, real-time pressure data yl and real-time air flow rate data LS are combined into a data set according to the collected data of 10. The flame real-time size data set is expressed as {M n-9 、M n-8 , ..., M n}, the flame real-time position dataset is represented as {H n-9 (X n-9 ,Yn-9 ), H n-8 (X n-8 ,Y n-8 ),...,H n (X n ,Y n )}, the real-time temperature data set is represented as {W n-9 , W n-8 , ..., W n}, the real-time pressure data set is represented by {yl n-9 , yl n-8 ,..., yl n}, the real-time air velocity data set is represented as {LS n-9 LS n-8 ,...,LS n}, and n-9, n-8, ..., n in the set represent that each data in each set data set is 10 consecutive data, and the boiler combustion data acquisition module sends each data set to the boiler combustion data analysis module;

[0053] The boiler combustion data analysis module preprocesses the flame real-time size data set, flame real-time position data set, real-time temperature data set, real-time pressure data set and real-time air flow rate data respectively to obtain the flame size value ZM, flame position data ZH (ZX, ZY), temperature data ZW, pressure data Zyl and air flow rate data ZLS; the specific algorithm expressions are as follows:

[0054] The ZX algorithm expression is as follows:

[0055]

[0056] The algorithm expression of ZY is as follows:

[0057]

[0058] In the formula, i=n-9 represents the X in the flame real-time position data set. n-9 and Y n-9 Start counting, 10 means X n-9 ~X n and Y n-9 ~Y n Each set of data has 10, X i and Y i Respectively represent from X n-9 , Y n-9 Start calculation, and the result is used as the flame position to form the flame position data ZH (ZX, ZY);

[0059] The algorithm expression of the flame size value ZM is as follows:

[0060]

[0061] In the formula, 10 means that the number of flame real-time size data sets is 10. M represents the flame real-time size dataset n-9 ~M n The product of is obtained, and the average number obtained by square root is taken as the flame size value ZM;

[0062] The ZW algorithm expression for temperature data is as follows:

[0063]

[0064] In the formula, 10 means there are 10 data in the real-time temperature data set, and i=n-9 means there are 10 data in the real-time temperature data set. n-9 Start calculation;

[0065] The pressure data Zyl algorithm expression is as follows:

[0066]

[0067] In the formula, 10 means there are 10 data in the real-time pressure data set, and i=n-9 means yl n-9 Start calculation;

[0068] The ZLS algorithm expression for air velocity data is as follows:

[0069]

[0070] In the formula, 10 means there are 10 data in the real-time pressure data set, which means the calculation starts from the real-time temperature data set;

[0071] By preprocessing the data in these data sets respectively, the influence of abnormal values ​​in the data sets on subsequent judgments is reduced, thereby improving the accuracy of judgments and subsequent calculation results and reducing the probability of misjudgment;

[0072] After the flame position data ZH (ZX, ZY) is calculated, the flame size prediction value YM is calculated, and its algorithm expression is as follows:

[0073] The flame size prediction value YM algorithm expression is as follows:

[0074]

[0075] In the formula, e is the natural number base, -(ZX 2 +ZY 2) represents a negative quadratic form, which is the negative square of the distance from the point (ZX, ZY) to the origin (0,0) in the two-dimensional coordinate system. The farther the point (ZX, ZY) is from the origin, the greater the -(ZX 2 +ZY 2 ) is smaller, the larger the YM value is; this formula describes the distribution of flame size near the center of the flame. When the position of the flame is different, the function value will change, but the overall feature is that the center is larger and the edge gradually decreases. Therefore, the flame size prediction value YM can be calculated based on the actual position data, and compared with the flame size value ZM obtained by preprocessing, and the combustion state can be judged based on the flame size; the specific comparison process is as follows:

[0076] When the flame size prediction value YM is equal to the flame size value ZM, it is determined that the combustion in the boiler is in a normal state;

[0077] When the flame size prediction value YM is greater than the flame size value ZM, it is determined that the combustion in the boiler is in excess fuel or is about to explode;

[0078] When the flame size prediction value YM is less than the flame size value ZM, it is determined that the combustion in the boiler is in an incomplete combustion state;

[0079] When the above abnormal situation occurs, the boiler combustion data analysis module determines that the flame state is abnormal and sends out abnormal signal one. At the same time, the boiler combustion data analysis module compares the calculated temperature data ZW with the preset temperature threshold Wyz to determine whether the boiler temperature is abnormal. When an abnormality occurs, an abnormal signal two is sent. The boiler combustion data analysis module compares the calculated pressure data Zyl with the preset pressure threshold Ylyz to determine whether the pressure in the boiler is abnormal. When an abnormality occurs, an abnormal signal three is sent. The boiler combustion data analysis module compares the calculated air flow rate data ZLS with the preset air flow rate threshold LSyz to determine whether the air flow rate of the air intake pipe is abnormal. When an abnormality occurs, an abnormal signal four is sent. The boiler combustion data analysis module sends the generated abnormal signal to the control module, and the control module controls the boiler to make corresponding control according to the abnormal signal;

[0080] When the control module receives abnormal signal 1 and abnormal signal 4 at the same time, it determines that there is insufficient air in the boiler, resulting in incomplete combustion, and sends a signal to increase the air flow rate;

[0081] When the control module receives abnormal signal 3 and abnormal signal 2 at the same time, it determines that the pressure in the boiler is too high and sends a pressure reduction signal;

[0082] When the control module receives abnormal signal one, abnormal signal two and abnormal signal three simultaneously, it determines that there is an impending explosion or excess fuel in the boiler, and sends a signal to stop feeding and reduce air flow rate;

[0083] The control module controls the air flow rate, pressure relief and feed of the boiler according to the increase air flow rate signal, the pressure reduction signal, the stop feed and the decrease air flow rate signal.

[0084] The functional relationship between flame size and flame position is used as a reference factor for judging combustion in the boiler. At the same time, temperature data, pressure data and air flow rate data are calculated as auxiliary reference factors, and the calculated temperature data, pressure data and air flow rate data are compared with preset thresholds to judge whether these values ​​exceed the preset thresholds. The abnormal flame size is combined with the abnormal temperature data, pressure data and air flow rate data to determine whether the boiler has an abnormality. The boiler is controlled in real time according to the corresponding abnormal data to improve the accuracy of the combustion control system and avoid incomplete combustion of the fuel. At the same time, it can predict in advance whether a deflagration will occur and make corresponding controls to avoid the occurrence of a deflagration on site.

[0085] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A precise combustion control system for a coal-fired boiler, characterized in that: It includes boiler combustion data acquisition module, boiler combustion data analysis module and control module; The boiler data acquisition module preferably includes a flame radiation infrared sensing unit, a boiler temperature acquisition unit, a pressure acquisition unit and an air flow rate sensing unit; The flame radiation infrared sensor unit is used to collect real-time size data and real-time position data of the flame in the boiler, wherein the real-time size data of the flame is the size of the two-dimensional area measured when the flame is burning, expressed as M, and the real-time position data of the flame is the position data in the two-dimensional coordinates measured when the flame is burning, expressed as H(X,Y); The boiler temperature acquisition unit is used to collect real-time temperature data of the boiler during combustion, which is represented by W. The pressure acquisition unit is used to collect real-time pressure data of the boiler during combustion, which is represented by yl. The air flow rate sensor unit is used to collect real-time air flow rate data of the port position of the internal air intake pipe of the boiler during combustion, which is represented by LS. The boiler combustion data acquisition module collects the flame real-time size data M, flame real-time position data H (X, Y), real-time temperature data W, real-time pressure data yl and real-time air flow rate data LS to form a data set every 10 data collected. The flame real-time size data set is represented as {M n-9 、M n-8 , ..., M n }, the flame real-time position data set is represented as {H n-9 (X n-9 ,Y n-9 ), H n-8 (X n-8 ,Y n-8 ),...,H n (X n ,Y n )}, the real-time temperature data set is represented by {W n-9 , W n-8 , ..., W n }, the real-time pressure data set is represented by {yl n-9 , yl n-8 ,..., yl n }, the real-time air velocity data set is represented as {LS n-9 LS n-8 ,...,LS n }, and n-9, n-8, ..., n in the set represent that each data in each set data set is 10 consecutive data, and the boiler combustion data acquisition module sends each data set to the boiler combustion data analysis module; The boiler combustion data analysis module pre-processes the flame real-time size data set, flame real-time position data set, real-time temperature data set, real-time pressure data set and real-time air flow rate data respectively to obtain the flame size value ZM, flame position data ZH (ZX, ZY), temperature data ZW, pressure data Zyl and air flow rate data ZLS; The boiler combustion data analysis module calculates the flame size prediction value YM according to the flame position data ZH (ZX, ZY), and compares the flame size prediction value YM with the flame size value ZM to determine whether the flame state is abnormal. When an abnormality occurs, an abnormal signal one is issued. The boiler combustion data analysis module compares the calculated temperature data ZW with the preset temperature threshold Wyz to determine whether the boiler temperature is abnormal. When an abnormality occurs, an abnormal signal two is issued. The boiler combustion data analysis module compares the calculated pressure data Zyl with the preset pressure threshold Ylyz to determine whether the pressure in the boiler is abnormal. When an abnormality occurs, an abnormal signal three is issued. The boiler combustion data analysis module compares the calculated air flow rate data ZLS with the preset air flow rate threshold LSyz to determine whether the air flow rate of the air intake pipe is abnormal. When an abnormality occurs, an abnormal signal four is issued. The boiler combustion data analysis module sends the multiple abnormal signals to the control module; The control module controls the boiler to perform corresponding control according to the corresponding abnormal signal.

2. The precise combustion control system for a coal-fired boiler according to claim 1, characterized in that: The ZX algorithm expression is as follows: The algorithm expression of ZY is as follows: In the formula, i=n-9 represents the X in the flame real-time position data set. n-9 and Y n-9 Start counting, 10 means X n-9 ~X n and Y n-9 ~Y n Each set of data has 10, X i and Y i Respectively represent from X n-9 , Y n-9 The calculation is started and the result is used as the flame position to form the flame position data ZH (ZX, ZY).

3. The precise combustion control system for a coal-fired boiler according to claim 1, characterized in that: The algorithm expression of the flame size value ZM is as follows: In the formula, 10 means that the number of flame real-time size data sets is 10. M represents the flame real-time size dataset n-9 ~M n The product of is obtained, and the average value obtained by square root is taken as the flame size value ZM.

4. The precise combustion control system for a coal-fired boiler according to claim 2, characterized in that: The flame size prediction value YM algorithm expression is as follows: In the formula, e is the natural number base, -(ZX 2 +ZY 2 ) represents a negative quadratic form, which is the negative square of the distance from the point (ZX, ZY) to the origin (0,0) in the two-dimensional coordinate system. The farther the point (ZX, ZY) is from the origin, the greater the -(ZX 2 +ZY 2 ) is smaller, the larger the YM value is.

5. The precise combustion control system for a coal-fired boiler according to claim 1, characterized in that: The temperature data ZW algorithm expression is as follows: In the formula, 10 means there are 10 data in the real-time temperature data set, and i=n-9 means there are 10 data in the real-time temperature data set. n-9 Start calculating.

6. The precise combustion control system for a coal-fired boiler according to claim 1, characterized in that: The pressure data Zyl algorithm expression is as follows: In the formula, 10 means there are 10 data in the real-time pressure data set, and i=n-9 means yl n-9 Start calculating.

7. The precise combustion control system for a coal-fired boiler according to claim 1, characterized in that: The ZLS algorithm expression of the air velocity data is as follows: In the formula, 10 means that there are 10 data in the real-time pressure data set, and the calculation starts from the real-time temperature data set.

8. The precise combustion control system for a coal-fired boiler according to claim 4, characterized in that: The data analysis module compares the flame size prediction value YM with the flame size value ZM in the following way: When the flame size prediction value YM is equal to the flame size value ZM, it is determined that the combustion in the boiler is in a normal state; When the flame size prediction value YM is greater than the flame size value ZM, it is determined that the combustion in the boiler is in excess fuel or is about to explode; When the flame size prediction value YM is less than the flame size value ZM, it is determined that the combustion in the boiler is in an incomplete combustion state.

9. The precise combustion control system for a coal-fired boiler according to claim 1, characterized in that: When the control module receives abnormal signal 1 and abnormal signal 4 at the same time, it determines that there is insufficient air in the boiler, resulting in incomplete combustion, and sends a signal to increase the air flow rate; When the control module receives the abnormal signal 3 and the abnormal signal 2 at the same time, it determines that the pressure in the boiler is too high and sends a pressure reduction signal; When the control module receives abnormal signal 1, abnormal signal 2 and abnormal signal 3 simultaneously, it determines that there is an impending explosion or excess fuel in the boiler, and sends a signal to stop feeding and reduce air flow rate.

10. The precise combustion control system for a coal-fired boiler according to claim 9, characterized in that: The control module controls the air flow rate, pressure relief and feed of the boiler according to the air flow rate increase signal, pressure reduction signal, feed stop and air flow rate reduction signal.