A fuel control optimization method for thermal power plants

Abstract

The invention discloses a fuel control optimization method for a thermal power plant, and relates to the technical field of thermal power plants. The method collects historical combustion process data corresponding to boilers and transmission pipelines during the combustion of fuel in a thermal power plant, and establishes a historical combustion data model. Based on the historical combustion data model, a fuel type heat release data chain corresponding to the fuel type is obtained, and a transmission fuel parameter control model is established according to the fuel type heat release data chain, and then ideal control parameters are obtained according to the transmission fuel parameter control model. A fuel combustion parameter control model is established according to the ideal control parameters, and a fuel combustion process optimization model is constructed based on the fuel combustion parameter control model. The combustion process data corresponding to the fuel is collected in real time, and sent to the fuel combustion process optimization model in real time to obtain the fuel combustion process control data corresponding to the fuel. The invention effectively controls and optimizes the transmission process and combustion process of the fuel.

Description

Technical Field

[0001] The invention relates to the technical field of thermal power plants, in particular to a fuel control optimization method for thermal power plants. Background Art

[0002] A thermal power plant is a plant that uses combustibles (such as coal) as fuel to produce electricity. Its basic production process is: when the fuel is burned, it heats water to generate steam, converting the chemical energy of the fuel into thermal energy. The steam pressure drives the turbine to rotate, converting the thermal energy into mechanical energy. The turbine then drives the generator to rotate, converting the mechanical energy into electrical energy. The fuel used for power generation can be roughly divided into three categories, namely solid fuel, liquid fuel and gas fuel.

[0003] The basic production process of a thermal power plant is that the fuel burns in the boiler, releasing its heat, which is transferred to the water in the boiler to produce high-temperature and high-pressure steam; the steam converts the heat energy into rotational power through the steam turbine to drive the generator to output electrical energy; by the 1980s, the efficiency of the world's best thermal power plants reached 40%, that is, 40% of the heat energy in the fuel was converted into electrical energy;

[0004] The main fuel of most thermal power plants is solid fuel, which is transmitted to the boiler through a transmission pipeline and burned in the boiler. However, due to the different quality data of solid fuel, the operating data of the solid fuel cannot be controlled during the transmission and combustion processes, so the heat release rate of the solid fuel cannot reach the maximum, and it is necessary to control and optimize the fuel during the transmission and combustion processes. Therefore, in order to solve the above problems, the present invention provides a fuel control optimization method for a thermal power plant. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a fuel control optimization method for a thermal power plant;

[0006] The object of the present invention can be achieved by the following technical solution: A fuel control optimization method for a thermal power plant, the method comprising the following steps:

[0007] Step S1: Collect historical combustion process data corresponding to boilers and transportation pipelines during the combustion of fuel in a thermal power plant, and establish a historical combustion data model;

[0008] Step S2: obtaining a fuel type heat release data chain corresponding to the fuel type based on the historical combustion data model, establishing a transmission fuel parameter control model according to the fuel type heat release data chain, and then obtaining an ideal control parameter according to the transmission fuel parameter control model;

[0009] Step S3: establishing a fuel combustion parameter control model according to the ideal control parameters, and constructing a fuel combustion process optimization model based on the fuel combustion parameter control model;

[0010] Step S4: Collect the combustion process data corresponding to the fuel in real time, and send it to the fuel combustion process optimization model in real time to obtain the fuel combustion process control data corresponding to the fuel.

[0011] Furthermore, the construction process of the historical combustion data model includes:

[0012] The boiler and the transmission pipeline are subjected to unit simulation to generate a combustion processing unit and a fuel transmission channel, and a fuel quality collection unit and a combustion result output unit are set; the fuel quality collection unit is wirelessly connected to a plurality of fuel input terminals to collect historical fuel basic quality data of the fuel input by each fuel input terminal;

[0013] Corresponding sensor nodes are set in the fuel transmission channel and the combustion processing unit, which are respectively used to collect historical fuel flow data of the fuel in the transmission process and historical operation data of the fuel in the combustion process corresponding to the historical fuel basic mass data; the combustion result output unit is used to output the historical heat release rate of the fuel corresponding to the historical fuel basic mass data; the historical fuel flow data, historical operation data and historical heat release rate are simultaneously mapped with the corresponding historical fuel basic information to generate historical combustion process data, and then a historical combustion data model is constructed.

[0014] Furthermore, the process of acquiring the fuel type heat release data link includes:

[0015] The fuels corresponding to the same historical fuel basic mass data are marked as the same fuel type; the historical fuel flow data corresponding to the same fuel type are then extracted from the historical combustion data model, and the various historical fuel flow data are integrated to obtain the flow change data set, which is recorded as , where i represents the number corresponding to the historical fuel flow data, and J represents the fuel type; and the length, speed data set, and transmission fuel quantity data set of the fuel transmission channel for the corresponding fuel are respectively recorded as , and ;

[0016] According to the length, the arrival time corresponding to the speed data set is obtained, which is recorded as t i , and schedule the historical operation data corresponding to the arrival time , and then dispatch the historical heat release rate corresponding to the historical operation data ;

[0017] With the fuel type as the connecting line, the data in the flow change data set, length data set, speed data set, and the transmitted fuel volume data set, as well as the corresponding historical operation data and historical heat release rate as the regulating nodes, the corresponding regulating nodes are connected through the connecting lines to generate the fuel type heat release data chain, which is recorded as .

[0018] Furthermore, the process of establishing the transmission fuel parameter control model includes:

[0019] According to the heat release data chain of each fuel type, the historical operation data and the corresponding length of the fuel transmission channel are merged to generate a corresponding transmission data set, and the ideal fuel flow data corresponding to the transmission data set is set based on the big data, and merged to generate an ideal fuel flow data database;

[0020] The maximum historical heat release rate corresponding to the same historical operating data in the heat release data chain of each fuel type is obtained, and the ideal fuel flow data of the corresponding transmission data set is scheduled in real time according to the maximum historical heat release rate. The ideal control parameters corresponding to the maximum historical heat release are obtained according to the ideal fuel flow data, and then a transmission fuel parameter control model is established.

[0021] Furthermore, the transmission fuel parameter control model includes: ; ;

[0022] in, Expressed as ideal fuel flow data; Shown is the maximum historical heat release rate; is represented by the corresponding transmission data set; a and b are represented by the corresponding regulation coefficients.

[0023] Furthermore, the process of obtaining the ideal control parameters includes:

[0024] The heat release data link of each fuel type sends the corresponding speed and transmission fuel amount to the transmission fuel parameter control model according to the transmission data set to obtain the corresponding ideal control parameters, which are recorded as (a, b);

[0025] According to the ideal control parameters, the standard speed and standard transmission fuel volume corresponding to the fuel in the fuel transmission channel are obtained, which is recorded as (bv i , ag i ), and then regulate the speed and amount of fuel transmitted in the fuel transmission channel.

[0026] Furthermore, the process of establishing the fuel combustion parameter control model includes:

[0027] Obtain the parameters corresponding to the historical fuel basic quality data of each fuel type, and use each parameter as the basic condition, set the standard operating value data set according to the basic conditions, and adjust the historical operating data of each historical fuel basic quality data according to the standard operating value data set to obtain the control parameter value; perform combustion simulation according to the control parameter value and obtain the corresponding standard heat release rate through the combustion result output unit, and compare it with the corresponding historical heat release rate. If it is greater than the historical heat release rate, it is marked as correct control, otherwise, it is marked as control failure, and a combustion log is generated and sent to the preset management terminal, and then the standard operating value data set is manually adjusted according to the control parameter value. After the adjustment is completed, the various standard operating value data sets are integrated to generate a standard operating value data set library, and connected with the combustion processing unit in the historical combustion data model to generate a fuel combustion parameter control model.

[0028] Furthermore, the process of obtaining the control parameter value includes:

[0029] Obtain the corresponding standard operating value data set according to each basic condition, obtain the difference between the corresponding historical operating data and the corresponding standard operating value data set, and mark it as the operating difference;

[0030] If the operation difference is greater than 0, the corresponding historical operation data will be adjusted downward; if the operation difference is less than 0, the corresponding historical operation data will be adjusted upward; if the operation difference is equal to 0, the corresponding historical operation data will not be regulated; the regulation parameter value is equal to the sum of the historical operation data and the operation difference.

[0031] Furthermore, the process of establishing the fuel combustion process optimization model includes:

[0032] The transmission fuel parameter control model is connected with the fuel combustion parameter control model to generate a fuel combustion process optimization model.

[0033] Furthermore, the process of acquiring the fuel combustion process control data includes:

[0034] Based on the historical combustion data model, the fuel type and fuel combustion process data of the fuel starting to be transmitted in the fuel transmission channel are collected in real time, and sent to the fuel combustion process optimization model;

[0035] Based on the fuel combustion process optimization model, the corresponding transmission data set is obtained, and according to the transmission data set, the speed and transmission fuel amount corresponding to the fuel transmission channel are sent to the transmission fuel parameter control model corresponding to the transmission data set for calculation to obtain the corresponding ideal control parameters, and then the corresponding standard speed and standard transmission fuel amount are obtained according to the ideal control parameters; at the same time, the corresponding fuel basic quality data and current operation data are sent to the fuel combustion parameter control model to obtain the corresponding control parameter values; the ideal control parameters and the control parameter values ​​are integrated to generate the fuel combustion process control data.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. By collecting the historical combustion process data corresponding to the boiler and the transmission pipeline during the combustion process of the fuel in the thermal power plant, and establishing a historical combustion data model; based on the historical combustion data model, the fuel type heat release data chain corresponding to the fuel type is obtained, and the transmission fuel parameter control model is established according to the fuel type heat release data chain, and then the ideal control parameters are obtained according to the transmission fuel parameter control model; this process effectively controls and optimizes the fuel transmission process;

[0038] 2. Establish a fuel combustion parameter control model based on the ideal control parameters, and build a fuel combustion process optimization model based on the fuel combustion parameter control model; collect the combustion process data corresponding to the fuel in real time, and send it to the fuel combustion process optimization model in real time to obtain the fuel combustion process control data corresponding to the fuel; this process effectively controls and optimizes the fuel combustion process. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0040] Figure 1 It is a flow chart of the present invention.

[0041] Figure 2 Schematic diagram for the construction of the historical combustion data model. DETAILED DESCRIPTION

[0042] 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.

[0043] Example

[0044] like Figure 1 As shown, a fuel control optimization method for a thermal power plant comprises the following steps:

[0045] Step S1: Collect historical combustion process data corresponding to boilers and transportation pipelines during the combustion of fuel in a thermal power plant, and establish a historical combustion data model;

[0046] Step S2: obtaining a fuel type heat release data chain corresponding to the fuel type based on the historical combustion data model, establishing a transmission fuel parameter control model according to the fuel type heat release data chain, and then obtaining an ideal control parameter according to the transmission fuel parameter control model;

[0047] Step S3: establishing a fuel combustion parameter control model according to the ideal control parameters, and constructing a fuel combustion process optimization model based on the fuel combustion parameter control model;

[0048] Step S4: Collect the combustion process data corresponding to the fuel in real time, and send it to the fuel combustion process optimization model in real time to obtain the fuel combustion process control data corresponding to the fuel.

[0049] Example

[0050] like Figure 2 As shown, this embodiment is a further limitation of Embodiment 1, and the step S1 is implemented by the following process:

[0051] The construction process of the historical combustion data model includes:

[0052] The boiler and the transmission pipeline are subjected to unit simulation to generate a combustion processing unit and a fuel transmission channel, and a fuel quality collection unit and a combustion result output unit are set; the fuel transmission channel connects the fuel quality collection unit and the combustion processing unit; the combustion result output unit is connected to the combustion processing unit, and the fuel quality collection unit is wirelessly connected to several fuel input terminals for collecting historical fuel information data of the fuel input from each fuel input terminal;

[0053] The historical fuel information data includes historical fuel basic information and historical fuel basic quality data;

[0054] It should be further explained that, in the specific implementation process, the historical fuel basic information data includes but is not limited to the fuel input terminal code, company name, contact information, etc.; the historical fuel basic quality data includes calorific value, volatile matter, ash content and moisture;

[0055] Corresponding sensor nodes are set in the fuel transmission channel and the combustion processing unit, which are respectively used to collect historical fuel flow data of the fuel during the transmission process and historical operation data of the fuel during the combustion process corresponding to the historical fuel information data; the combustion result output unit is used to output the historical heat release rate of the fuel corresponding to the historical fuel information data; the historical fuel flow data, historical operation data and historical heat release rate are simultaneously mapped with the corresponding historical fuel basic information to generate historical combustion process data, and then a historical combustion data model is constructed.

[0056] Example

[0057] This embodiment is a further limitation of Embodiment 1, and Step S2 is implemented by the following process:

[0058] The acquisition process of the fuel type heat release data link includes:

[0059] The fuels corresponding to the same historical fuel basic mass data are marked as the same fuel type; the historical fuel flow data corresponding to the same fuel type are then extracted from the historical combustion data model, and the various historical fuel flow data are integrated to obtain the flow change data set, which is recorded as , where i represents the number corresponding to the historical fuel flow data, and J represents the fuel type; and the length, speed data set, and transmission fuel quantity data set of the fuel transmission channel for the corresponding fuel are respectively recorded as , and ;

[0060] It should be further explained that, in the specific implementation process, the arrival time is used to represent the time when the fuel arrives at the boiler through the delivery pipeline and starts to burn; usually, the fuel enters the boiler at a constant speed through the delivery pipeline for combustion; the historical flow data corresponding to the same historical fuel basic mass data are different, and the arrival time is different. It should be further explained that, in the specific implementation process, the cross-sectional area corresponding to the fuel transmission channel is the same;

[0061] According to the length, the arrival time corresponding to the speed data set is obtained, which is recorded as t i , and schedule the historical operation data corresponding to the arrival time, recorded as , the historical operation data includes air volume, temperature, pressure and load; wherein K, D, F and G represent air volume, temperature, pressure and load respectively; and then dispatch the historical heat release rate corresponding to each historical operation data ;

[0062] With the fuel type as the connecting line, the data in the flow change data set, length data set, speed data set, time data set, historical operation data set and historical heat release rate as the regulating nodes, the corresponding regulating nodes are connected through the connecting line to generate the fuel type heat release data chain, which is recorded as .

[0063] It should be further explained that, in a specific embodiment, the fuel type heat release data chain corresponding to each fuel type is obtained based on the historical combustion data model to improve the comprehensiveness of fuel collection.

[0064] The establishment process of the transmission fuel parameter control model includes:

[0065] According to the heat release data chain of each fuel type, the historical operation data and the corresponding length of the fuel transmission channel are merged to generate a corresponding transmission data set, and the ideal fuel flow data corresponding to the transmission data set is set based on the big data, and merged to generate an ideal fuel flow data database;

[0066] Obtain the maximum historical heat release rate corresponding to the same historical operating data in the heat release data chain of each fuel type, schedule the ideal fuel flow data of the corresponding transmission data set in real time according to the maximum historical heat release rate, and obtain the ideal control parameters corresponding to the maximum historical heat release according to the ideal fuel flow data, and then establish a transmission fuel parameter control model;

[0067] Furthermore, the transmission fuel parameter control model includes: ; ;

[0068] in, Expressed as ideal fuel flow data; Expressed as the maximum historical heat release rate; It is represented as the corresponding transmission data set; a and b are represented as the corresponding regulation coefficients;

[0069] It should be further explained that, in a specific embodiment, the transmission fuel parameter control model is processed to obtain the corresponding quadratic function, wherein, for the quadratic function ;

[0070] The process of obtaining the ideal control parameters includes:

[0071] The heat release data link of each fuel type sends the corresponding speed and transmission fuel amount to the transmission fuel parameter control model according to the transmission data set to obtain the corresponding ideal control parameters, which are recorded as (a, b);

[0072] According to the ideal control parameters, the standard speed and standard transmission fuel volume corresponding to the fuel in the fuel transmission channel are obtained, which is recorded as (bvi , ag i ), and then regulate the speed and amount of fuel transmitted in the fuel transmission channel.

[0073] It should be further explained that, in the specific implementation process, the fuel type corresponding to the fuel is obtained, and then the corresponding transmission data set is obtained. According to the transmission data set, the speed and transmission fuel amount corresponding to the fuel transmission channel are sent to the transmission fuel parameter control model corresponding to the transmission data set for calculation, and the corresponding ideal control parameters are obtained. Then, the speed and fuel transmission channel of the fuel transmission channel are regulated according to the ideal control parameters; this process plans the fuel flow data corresponding to different fuels and improves the efficiency of fuel combustion.

[0074] Example

[0075] This embodiment is a further limitation of Embodiment 1, and step S3 is implemented by the following process:

[0076] The process of establishing the fuel combustion parameter control model includes:

[0077] Obtain parameters corresponding to historical fuel basic quality data corresponding to each fuel type, and use each parameter as a basic condition, set a standard operating value data set according to the basic conditions, and adjust the historical operating data of each historical fuel basic quality data according to the standard operating value data set to obtain the control parameter value; perform combustion simulation according to the control parameter value and obtain the corresponding standard heat release rate through the combustion result output unit, and compare it with the corresponding historical heat release rate. If it is greater than the historical heat release rate, it is marked as correct control, otherwise, it is marked as control failure, and a combustion log is generated and sent to a preset management terminal, and then the standard operating value data set is manually adjusted according to the control parameter value; the combustion log includes historical fuel basic quality data, historical operation data, control parameter values, historical heat release rate and standard heat release rate;

[0078] Furthermore, the process of obtaining the control parameter value includes:

[0079] Obtain the corresponding standard operating value data set according to each basic condition, obtain the difference between the corresponding historical operating data and the corresponding standard operating value data set, and mark it as the operating difference;

[0080] If the operation difference is greater than 0, the corresponding historical operation data will be adjusted downward; if the operation difference is less than 0, the corresponding historical operation data will be adjusted upward; if the operation difference is equal to 0, the corresponding historical operation data will not be regulated; the control parameter value is equal to the sum of the historical operation data and the operation difference;

[0081] It should be further explained that, in the specific implementation process, the basic conditions include calorific value, volatile matter, ash content and moisture content; the standard operating value data set includes a calorific value standard operating value data set, a volatile matter standard operating value data set, an ash content standard operating value data set and a moisture content standard operating value data set, which are marked as , , as well as .

[0082] The process of establishing the fuel combustion process optimization model includes:

[0083] The transmission fuel parameter control model is connected with the fuel combustion parameter control model to generate a fuel combustion process optimization model.

[0084] Example

[0085] This embodiment is a further limitation of Embodiment 1, and step S4 is implemented by the following process:

[0086] The process of acquiring the fuel combustion process control data includes:

[0087] Based on the historical combustion data model, the fuel type and fuel combustion process data of the fuel starting to be transmitted in the fuel transmission channel are collected in real time, and sent to the fuel combustion process optimization model;

[0088] Based on the fuel combustion process optimization model, the corresponding transmission data set is obtained, and the speed and transmission fuel amount corresponding to the fuel transmission channel are sent to the transmission fuel parameter control model corresponding to the transmission data set for calculation according to the transmission data set to obtain the corresponding ideal control parameters, and then the speed and fuel transmission channel of the fuel transmission channel are controlled according to the ideal control parameters to obtain the corresponding standard speed and standard transmission fuel amount; at the same time, the corresponding fuel basic quality data and current operation data are sent to the fuel combustion parameter control model for control to obtain the corresponding control parameter values; the ideal control parameters and the control parameter values ​​are integrated to generate fuel combustion process control data;

[0089] The combustion process data includes fuel information data, speed, delivered fuel quantity and current operating data.

[0090] The features and exemplary embodiments of various aspects of the present application are described in detail above. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail in combination with the drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application rather than to limit the present application. For those skilled in the art, the present application can be implemented without some of these specific details. The above description of the embodiments is merely to provide a better understanding of the present application by showing examples of the present application.

[0091] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A fuel control optimization method for a thermal power plant, characterized in that: The method comprises the following steps: Step S1: Collect historical combustion process data corresponding to boilers and transportation pipelines during the combustion of fuel in a thermal power plant, and establish a historical combustion data model; Step S2: obtaining a fuel type heat release data chain corresponding to the fuel type based on the historical combustion data model, establishing a transmission fuel parameter control model according to the fuel type heat release data chain, and then obtaining an ideal control parameter according to the transmission fuel parameter control model; Step S3: establishing a fuel combustion parameter control model according to the ideal control parameters, and constructing a fuel combustion process optimization model based on the fuel combustion parameter control model; Step S4: collecting combustion process data corresponding to the fuel in real time, and sending it to the fuel combustion process optimization model in real time to obtain fuel combustion process control data corresponding to the fuel; The acquisition process of the fuel type heat release data link includes: The fuels corresponding to the same historical fuel basic mass data are marked as the same fuel type; the historical fuel flow data corresponding to the same fuel type are then extracted from the historical combustion data model, and the various historical fuel flow data are integrated to obtain the flow change data set, which is recorded as , where i represents the number corresponding to the historical fuel flow data, and J represents the fuel type; and the length, speed data set, and transmission fuel quantity data set of the fuel transmission channel for the corresponding fuel are respectively recorded as , and ; According to the length, the arrival time corresponding to the speed data set is obtained, which is recorded as t i , and schedule the historical operation data corresponding to the arrival time , and then dispatch the historical heat release rate corresponding to the historical operation data ; With the fuel type as the connecting line, the data in the flow change data set, length data set, speed data set, and the transmitted fuel volume data set, as well as the corresponding historical operation data and historical heat release rate as the regulating nodes, the corresponding regulating nodes are connected through the connecting lines to generate the fuel type heat release data chain, which is recorded as ; The establishment process of the transmission fuel parameter control model includes: According to the heat release data chain of each fuel type, the historical operation data and the corresponding length of the fuel transmission channel are merged to generate a corresponding transmission data set, and the ideal fuel flow data corresponding to the transmission data set is set based on the big data, and merged to generate an ideal fuel flow data database; Obtain the maximum historical heat release rate corresponding to the same historical operating data in the heat release data chain of each fuel type, schedule the ideal fuel flow data of the corresponding transmission data set in real time according to the maximum historical heat release rate, and obtain the ideal control parameters corresponding to the maximum historical heat release according to the ideal fuel flow data, and then establish a transmission fuel parameter control model; The transmission fuel parameter control model includes: ; ; in, Expressed as ideal fuel flow data; Expressed as the maximum historical heat release rate; It is represented as the corresponding transmission data set; a and b are represented as the corresponding regulation coefficients; The process of obtaining the ideal control parameters includes: The heat release data link of each fuel type sends the corresponding speed and transmission fuel amount to the transmission fuel parameter control model according to the transmission data set to obtain the corresponding ideal control parameters, which are recorded as (a, b); According to the ideal control parameters, the standard speed and standard transmission fuel volume corresponding to the fuel in the fuel transmission channel are obtained, which is recorded as (bv i , ag i ), and then regulate the speed and amount of fuel transmitted in the fuel transmission channel; The process of establishing the fuel combustion parameter control model includes: Obtain the parameters corresponding to the historical fuel basic quality data of each fuel type, and use each parameter as the basic condition, set the standard operation value data set according to the basic condition, and adjust the historical operation data of each historical fuel basic quality data according to the standard operation value data set to obtain the control parameter value; perform combustion simulation according to the control parameter value and obtain the corresponding standard heat release rate through the combustion result output unit, and compare it with the corresponding historical heat release rate. If it is greater than the historical heat release rate, it is marked as correct control, otherwise, it is marked as control failure, and a combustion log is generated and sent to a preset management terminal, and then the standard operation value data set is manually adjusted according to the control parameter value. After the adjustment is completed, each standard operation value data set is integrated to generate a standard operation value data set library, and connected with the combustion processing unit in the historical combustion data model to generate a fuel combustion parameter control model; The process of obtaining the control parameter value includes: Obtain the corresponding standard operating value data set according to each basic condition, obtain the difference between the corresponding historical operating data and the corresponding standard operating value data set, and mark it as the operating difference; If the operation difference is greater than 0, the corresponding historical operation data will be adjusted downward; if the operation difference is less than 0, the corresponding historical operation data will be adjusted upward; if the operation difference is equal to 0, the corresponding historical operation data will not be regulated; the control parameter value is equal to the sum of the historical operation data and the operation difference; The process of establishing the fuel combustion process optimization model includes: Connecting the transmission fuel parameter control model with the fuel combustion parameter control model to generate a fuel combustion process optimization model; The process of acquiring the fuel combustion process control data includes: Based on the historical combustion data model, the fuel type and fuel combustion process data of the fuel starting to be transmitted in the fuel transmission channel are collected in real time, and sent to the fuel combustion process optimization model; Based on the fuel combustion process optimization model, the corresponding transmission data set is obtained, and according to the transmission data set, the speed and transmission fuel amount corresponding to the fuel transmission channel are sent to the transmission fuel parameter control model corresponding to the transmission data set for calculation to obtain the corresponding ideal control parameters, and then the corresponding standard speed and standard transmission fuel amount are obtained according to the ideal control parameters; at the same time, the corresponding fuel basic quality data and current operation data are sent to the fuel combustion parameter control model to obtain the corresponding control parameter values; the ideal control parameters and the control parameter values ​​are integrated to generate the fuel combustion process control data.

2. A fuel control optimization method for a thermal power plant according to claim 1, characterized in that: The construction process of the historical combustion data model includes: The boiler and the transmission pipeline are subjected to unit simulation to generate a combustion processing unit and a fuel transmission channel, and a fuel quality collection unit and a combustion result output unit are set; the fuel quality collection unit is wirelessly connected to a plurality of fuel input terminals to collect historical fuel basic quality data of the fuel input by each fuel input terminal; Corresponding sensor nodes are set in the fuel transmission channel and the combustion processing unit, which are respectively used to collect historical fuel flow data of the fuel in the transmission process and historical operation data of the fuel in the combustion process corresponding to the historical fuel basic mass data; the combustion result output unit is used to output the historical heat release rate of the fuel corresponding to the historical fuel basic mass data; the historical fuel flow data, historical operation data and historical heat release rate are simultaneously mapped with the corresponding historical fuel basic information to generate historical combustion process data, and then a historical combustion data model is constructed.

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