Coal transportation control system and method for thermal power plant

Abstract

The present invention relates to the field of electrical control technology, and specifically discloses a coal transportation control system and method for a thermal power plant, including a model prediction module, which is used to establish an operating load prediction model, and obtain the optimal value of the boiler operating load according to the operating load prediction model; a load calculation module, which is used to draw an operating load difference curve, and determine the change in boiler coal consumption according to the operating load difference curve; a speed control module, which is used to determine the coal transportation volume of the coal transportation system, and control the operating speed of the coal transportation belt according to the coal transportation volume; a quality calculation module, which is used to calculate the boiler operating efficiency, and determine the coal quality parameters according to the boiler operating efficiency; a fineness control module, which is used to determine the coal particle parameters, set the target coal particle fineness according to the coal particle parameters, and control the screening and crushing equipment according to the target coal particle fineness. By controlling the transportation speed and coal particle fineness of the coal transportation system, the coal transportation system is more energy-efficient, and the operating efficiency of the thermal power plant units is improved.

Description

Technical Field

[0001] The present application relates to the field of electrical control technology, and more specifically, to a coal transportation control system and method for a thermal power plant. Background Art

[0002] With the development of the electric power industry and the increasing demand for electricity consumption, large-capacity and large-unit thermal power plants have gradually occupied a dominant position in my country. Fuel transportation, stacking and unloading are the basic conditions to ensure the normal operation and power generation of the units. The coal handling system is one of the main auxiliary systems of thermal power plants, with a variety of equipment types and unique operation and control methods. In recent years, with the significant improvement of the automation level of the coal handling system and the application of PLC programmable control, its technical content has increased significantly. Therefore, paying attention to the work of the coal handling system and deepening the comprehensive management of the coal handling system are important guarantees for the safe, civilized, economical and scientific management of thermal power plants.

[0003] In the actual production of thermal power plants, constant-speed belt conveyors and screening and crushing equipment with fixed coal particle fineness are usually used to transport coal to boilers to ensure the reliability of electricity use for users. Therefore, the coal conveyor belt load rate is low and the boiler operation efficiency is low. How to achieve the most efficient and energy-saving effect of the boiler through dynamic analysis and control of the coal conveying system has become a technical problem that needs to be solved urgently in this field. Summary of the invention

[0004] The present invention provides a coal handling control system and method for a thermal power plant, which is used to solve the technical problems of high energy consumption and low efficiency of the coal handling system in the prior art. It includes:

[0005] The model prediction module is used to obtain the current boiler operating parameters, establish an operating load prediction model, and obtain the optimal value of the boiler operating load based on the operating load prediction model;

[0006] The load calculation module is used to obtain the actual value of the boiler operating load, draw an operating load difference curve based on the actual value of the boiler operating load, and determine the change in boiler coal consumption based on the operating load difference curve;

[0007] The speed control module is used to determine the coal conveying capacity of the coal conveying system according to the change in the coal consumption of the boiler, and to control the running speed of the coal conveying belt according to the coal conveying capacity;

[0008] The quality calculation module is used to calculate the boiler operation efficiency according to the operation speed and determine the coal quality parameters according to the boiler operation efficiency;

[0009] The fineness control module is used to determine the coal particle parameters according to the coal quality parameters, set the target coal particle fineness according to the coal particle parameters, and control the screening and crushing equipment according to the target coal particle fineness.

[0010] Furthermore, the model prediction module is used to:

[0011] Obtain historical boiler operating parameters and corresponding historical operating load data, and pre-process the historical boiler operating parameters and corresponding historical operating load data;

[0012] Establishing a data set based on the pre-processed historical boiler operating parameters and the corresponding historical operating load data, and establishing an operating load prediction model based on the data set;

[0013] The operation load forecasting model is trained according to the data set to obtain the final operation load forecasting model;

[0014] The current boiler operating parameters are input into the final operating load prediction model to obtain the optimal value of the boiler operating load.

[0015] Furthermore, the load calculation module is used to:

[0016] Calculate the difference between the actual value and the optimal value of the boiler operating load, and draw an operating load difference curve according to the change trend of the difference between the actual value and the optimal value of the boiler operating load over time;

[0017] Determine the average value of the operating load difference within the preset period according to the operating load difference curve, and if the average value of the operating load difference within the preset period is less than the first preset threshold, set the boiler coal consumption change to zero;

[0018] If the average value of the operating load difference within the preset period is greater than or equal to the first preset threshold value, the standard value of the boiler coal consumption change is set, and the ratio of the average value of the operating load difference within the preset period to the preset standard average value is calculated to obtain the boiler coal consumption change correction value;

[0019] Multiply the boiler coal consumption change correction value by the boiler coal consumption change standard value to obtain the boiler coal consumption change within the preset time period.

[0020] Furthermore, the speed control module is used to:

[0021] Determine the boiler coal consumption within a preset period according to the change in boiler coal consumption, and determine the target coal transportation volume of the coal conveyor belt within the preset period according to the boiler coal consumption within the preset period;

[0022] Divide the preset time period into a number of sub-time periods, and set the maximum allowable cross-sectional area of ​​the coal conveyor belt in each sub-time period according to the target coal transportation volume in the preset time period;

[0023] Obtain the current cross-sectional area of ​​the coal conveyor belt, calculate the ratio of the current cross-sectional area to the maximum allowable cross-sectional area, and obtain the full load rate of the coal conveyor belt;

[0024] The conveying speed of the coal conveyor belt is controlled according to the full load rate of the coal conveyor belt.

[0025] Furthermore, the speed control module is also used for:

[0026] Real-time detection of the full load rate of the coal conveyor belt, and drawing a full load rate change curve according to the change trend of the full load rate of the coal conveyor belt over time;

[0027] When it is detected that the current full load factor is less than the first preset threshold, the absolute value of the slope average of the current full load factor change in the sub-period is calculated according to the full load factor change curve to obtain the full load factor change speed parameter;

[0028] Calculate the ratio of the preset standard full load rate change speed parameter to the full load rate change speed parameter to obtain the conveying speed correction parameter;

[0029] The conveying speed correction parameter is multiplied by the current conveying speed of the coal conveyor belt to obtain the corrected conveying speed of the coal conveyor belt, and the corrected conveying speed of the coal conveyor belt is updated to the current conveying speed of the coal conveyor belt.

[0030] Furthermore, the mass calculation module is used for:

[0031] Determine the actual coal delivery amount within the preset period according to the conveying speed of the coal conveyor belt within the preset period, and calculate the optimal value of boiler operation efficiency corresponding to the actual coal delivery amount according to the boiler coal type information;

[0032] Obtain the actual measured value of boiler operating efficiency within a preset period, calculate the difference between the optimal value of boiler operating efficiency and the actual measured value, and obtain the operating efficiency difference;

[0033] The ratio of the operating efficiency difference to the preset standard operating efficiency difference is calculated, and the ratio of the operating efficiency difference to the preset standard operating efficiency difference is normalized to obtain the coal quality parameter.

[0034] Furthermore, the fineness control module is used to:

[0035] Substitute the coal quality parameters into the coal particle parameter calculation formula to obtain the coal particle parameters. The specific calculation formula for the coal particle parameters is:

[0036]

[0037] in, is the coal particle parameter, To preset standard coal particle parameters, is the natural exponential function, Coal quality parameter.

[0038] Furthermore, the fineness control module is also used for:

[0039] Determine the coal particle fineness correction value according to the difference between the coal particle parameter and the preset standard coal particle parameter, and if the difference between the coal particle parameter and the preset standard coal particle parameter is greater than a second preset threshold value, set the first correction value as the coal particle fineness correction value;

[0040] If the difference between the coal particle parameter and the preset standard coal particle parameter is less than or equal to the second preset threshold value, the second correction value is set as the coal particle fineness correction value;

[0041] If the difference between the coal particle parameter and the preset standard coal particle parameter is less than the third preset threshold value, the third correction value is set as the coal particle fineness correction value.

[0042] Furthermore, the fineness control module is also used for:

[0043] Obtain the coal particle fineness of the current screening and crushing equipment, multiply the coal particle fineness of the current screening and crushing equipment by the coal particle fineness correction value to obtain the target coal particle fineness;

[0044] The target coal particle size is input into the screening and crushing equipment, and the coal is screened and crushed by the screening and crushing equipment.

[0045] In order to achieve the above object, the present invention also provides a coal transportation control method for a thermal power plant, comprising:

[0046] Obtain the current boiler operating parameters, establish an operating load prediction model, and obtain the optimal value of the boiler operating load based on the operating load prediction model;

[0047] Obtain the actual measured value of the boiler operating load, draw an operating load difference curve based on the actual measured value of the boiler operating load, and determine the change in boiler coal consumption based on the operating load difference curve;

[0048] Determine the coal conveying capacity of the coal conveying system according to the change in boiler coal consumption, and control the running speed of the coal conveying belt according to the coal conveying capacity;

[0049] Calculate boiler operating efficiency based on operating speed, and determine coal quality parameters based on boiler operating efficiency;

[0050] The coal particle parameters are determined according to the coal quality parameters, the target coal particle fineness is set according to the coal particle parameters, and the screening and crushing equipment is controlled according to the target coal particle fineness.

[0051] The beneficial effects of the present invention are:

[0052] By applying the above technical scheme, the present invention calculates the coal transportation volume of the coal transportation system through boiler load, realizes dynamic control of the running speed of the coal conveyor belt, makes the coal conveyor belt run at the highest full load rate at all times, realizes the optimal match between transportation volume and speed, and at the same time, through real-time detection of the boiler operation efficiency corresponding to the coal transportation volume, timely adjusts the coal particle fineness, makes the coal transportation system more energy-saving, and improves the operating efficiency of the thermal power plant units. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0054] Figure 1 A schematic structural diagram of a coal handling control system for a thermal power plant proposed in an embodiment of the present invention is shown;

[0055] Figure 2 The figure shows an overall flow chart of a method for controlling coal transportation in a thermal power plant proposed in an embodiment of the present invention. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0057] The present application embodiment provides a coal transportation control system for a thermal power plant, such as Figure 1 As shown, including:

[0058] The model prediction module is used to obtain the current boiler operating parameters, establish an operating load prediction model, and obtain the optimal value of the boiler operating load based on the operating load prediction model; the load calculation module is used to obtain the actual measured value of the boiler operating load, draw the operating load difference curve based on the actual measured value of the boiler operating load, and determine the change in boiler coal consumption based on the operating load difference curve; the speed control module is used to determine the coal conveying volume of the coal conveying system based on the change in boiler coal consumption, and control the operating speed of the coal conveyor belt based on the coal conveying volume; the quality calculation module is used to calculate the boiler operating efficiency based on the operating speed, and determine the coal quality parameters based on the boiler operating efficiency; the fineness control module is used to determine the coal particle parameters based on the coal quality parameters, set the target coal particle fineness based on the coal particle parameters, and control the screening and crushing equipment based on the target coal particle fineness.

[0059] In this embodiment, the coal conveying system conveys the coal to the screening and crushing equipment through a conveyor belt, and the coal particles are screened to the target coal particle fineness by the screening and crushing equipment and then conveyed to the boiler for combustion. In this embodiment, a sensor is arranged inside the boiler, which can detect the furnace temperature, pressure, and flow in real time, and obtain the measured value of the boiler operation load through the load calculation module.

[0060] In some embodiments of the present application, the model prediction module is used to: obtain historical boiler operating parameters and corresponding historical operating load data, and preprocess the historical boiler operating parameters and the corresponding historical operating load data; establish a data set based on the preprocessed historical boiler operating parameters and the corresponding historical operating load data, and establish an operating load prediction model based on the data set; train the operating load prediction model based on the data set to obtain a final operating load prediction model; input the current boiler operating parameters into the final operating load prediction model to obtain the optimal value of the boiler operating load.

[0061] In this embodiment, the boiler operating parameters are the parameters that affect the load during the operation of the boiler, including bed temperature, bed pressure, oxygen content, primary and secondary air ratio, etc. The historical boiler operating parameters and the corresponding historical operating load data are preprocessed by preprocessing methods such as denoising and de-redundancy to obtain a data set, and a boiler operation efficiency prediction model is constructed based on a mixture of one or more algorithms such as convolutional neural networks, deep neural networks, and genetic algorithms.

[0062] In some embodiments of the present application, the load calculation module is used to: calculate the difference between the actual value and the optimal value of the boiler operating load, and draw an operating load difference curve according to the changing trend of the difference between the actual value and the optimal value of the boiler operating load over time; determine the average value of the operating load difference within a preset time period according to the operating load difference curve, if the average value of the operating load difference within the preset time period is less than a first preset threshold value, set the boiler coal consumption change to zero; if the average value of the operating load difference within the preset time period is greater than or equal to the first preset threshold value, set the boiler coal consumption change standard value, calculate the ratio of the average value of the operating load difference within the preset time period to the preset standard average value, and obtain the boiler coal consumption change correction value; multiply the boiler coal consumption change correction value by the boiler coal consumption change standard value to obtain the boiler coal consumption change within the preset time period.

[0063] In this embodiment, the correction value of the boiler coal consumption change is determined by the ratio of the average value of the operating load difference within a preset time period to the preset standard average value. The farther the ratio is from 1, the more the actual measured value of the boiler operating load deviates from the standard value. Therefore, the standard value of the boiler coal consumption change should be corrected according to the degree of deviation of the ratio to achieve dynamic adjustment of the boiler coal consumption.

[0064] In some embodiments of the present application, the speed control module is used to: determine the boiler coal consumption within a preset time period based on the change in boiler coal consumption, and determine the target coal transportation volume of the coal conveyor belt within the preset time period based on the boiler coal consumption within the preset time period; divide the preset time period into several sub-time periods, and set the maximum allowable cross-sectional area of ​​the coal conveyor belt in each sub-time period according to the target coal transportation volume within the preset time period; obtain the current cross-sectional area of ​​the coal conveyor belt, calculate the ratio of the current cross-sectional area to the maximum allowable cross-sectional area, and obtain the full load rate of the coal conveyor belt; and control the conveying speed of the coal conveyor belt according to the full load rate of the coal conveyor belt.

[0065] In this embodiment, the initial boiler coal consumption and the coal consumption change in the preset time period are added to obtain the current optimal boiler coal consumption. In this embodiment, the coal transportation volume is determined by obtaining the cross-sectional area of ​​the coal on the coal conveyor belt, and the preset time period is evenly divided into several sub-periods. The coal transportation volume in the preset time period reaches the target coal transportation volume by controlling the maximum allowable cross-sectional area in the sub-period.

[0066] In some embodiments of the present application, the speed control module is also used to: detect the full load rate of the coal conveyor belt in real time, and draw a full load rate change curve according to the changing trend of the full load rate of the coal conveyor belt over time; when it is detected that the current full load rate is less than the first preset threshold value, calculate the absolute value of the slope average of the current full load rate change in the sub-time period according to the full load rate change curve, and obtain the full load rate change speed parameter; calculate the ratio of the preset standard full load rate change speed parameter to the full load rate change speed parameter, and obtain the conveying speed correction parameter; multiply the conveying speed correction parameter by the conveying speed of the current coal conveyor belt to obtain the corrected conveying speed of the coal conveyor belt, and update the corrected conveying speed of the coal conveyor belt to the current conveying speed of the coal conveyor belt.

[0067] In this embodiment, the conveying speed is controlled by the full load rate of the coal conveyor belt. When the full load rate is too low, the decreasing speed of the full load rate is calculated by calculating the absolute value of the slope mean of the full load rate in the sub-period. The faster the decreasing speed, the slower the corresponding conveying speed should be, so that the full load rate of the coal conveyor belt is always maintained at the optimal value, achieving the optimal match between transportation volume and speed.

[0068] In some embodiments of the present application, the quality calculation module is used to: determine the actual coal delivery within a preset time period based on the conveying speed of the coal conveyor belt within the preset time period, and calculate the optimal value of the boiler operating efficiency corresponding to the actual coal delivery based on the boiler coal type information; obtain the actual measured value of the boiler operating efficiency within the preset time period, calculate the difference between the optimal value of the boiler operating efficiency and the actual measured value, and obtain the operating efficiency difference; calculate the ratio of the operating efficiency difference to the preset standard operating efficiency difference, normalize the ratio of the operating efficiency difference to the preset standard operating efficiency difference, and obtain the coal quality parameters.

[0069] In this embodiment, the optimal boiler operating efficiency of the current coal type is calculated by the actual coal delivery amount, and the coal quality parameter is obtained by the ratio of the operating efficiency difference to the preset standard operating efficiency difference.

[0070] In this embodiment, the normalization processing formula is specifically:

[0071]

[0072] in, is the ratio of the normalized operating efficiency difference to the preset standard operating efficiency difference, is the ratio of the current operating efficiency difference to the preset standard operating efficiency difference, is the average value of the ratio of the historical operating efficiency difference to the preset standard operating efficiency difference. is the maximum value of the ratio of the historical operating efficiency difference to the preset standard operating efficiency difference. It is the minimum ratio of the historical operating efficiency difference to the preset standard operating efficiency difference.

[0073] In this embodiment, the ratio of the operating efficiency difference to the preset standard operating efficiency difference is limited to [-1, 1] through normalization processing, so as to obtain the coal quality parameter. The larger the parameter is, the better the coal quality is.

[0074] In some embodiments of the present application, the fineness control module is used to: substitute the coal quality parameter into the coal particle parameter calculation formula to obtain the coal particle parameter, and the coal particle parameter calculation formula is specifically:

[0075]

[0076] in, is the coal particle parameter, To preset standard coal particle parameters, is the natural exponential function, Coal quality parameter.

[0077] In some embodiments of the present application, the fineness control module is also used to: determine the coal particle fineness correction value based on the difference between the coal particle parameters and the preset standard coal particle parameters; if the difference between the coal particle parameters and the preset standard coal particle parameters is greater than the second preset threshold, the first correction value is set as the coal particle fineness correction value; if the difference between the coal particle parameters and the preset standard coal particle parameters is less than or equal to the second preset threshold, the second correction value is set as the coal particle fineness correction value; if the difference between the coal particle parameters and the preset standard coal particle parameters is less than the third preset threshold, the third correction value is set as the coal particle fineness correction value.

[0078] In this embodiment, after the coal particle parameters are calculated through the coal quality parameters, the coal particle fineness correction value is determined by the difference between the coal particle parameters and the preset standard coal particle parameters. The difference is usually a negative number. Therefore, the smaller the difference, the lower the quality of the coal type and the higher the boiler operating efficiency that needs to be improved. The boiler operating efficiency can be greatly improved by reducing the fineness of the coal particles. Therefore, the first correction value, the second correction value and the third correction value are set in sequence from large to small, and the range of the first correction value, the second correction value and the third correction value is [0, 1]. The second preset threshold is greater than the third preset threshold. When the difference between the coal particle parameters and the preset standard coal particle parameters is lower, the coal particle fineness correction value is smaller, that is, the degree of correction of the coal particle fineness is higher.

[0079] In some embodiments of the present application, the fineness control module is also used to: obtain the coal particle fineness of the current screening and crushing equipment, multiply the coal particle fineness of the current screening and crushing equipment by the coal particle fineness correction value to obtain the target coal particle fineness; input the target coal particle fineness into the screening and crushing equipment, and screen and crush the coal through the screening and crushing equipment.

[0080] In this embodiment, the coal particle fineness can be dynamically adjusted by setting the screening and crushing equipment, thereby achieving improved operation efficiency.

[0081] Based on the same technical concept, such as Figure 2 As shown, the present invention also provides a coal transportation control method for a thermal power plant, comprising:

[0082] S101, obtaining current boiler operating parameters, establishing an operating load prediction model, and obtaining an optimal boiler operating load value according to the operating load prediction model;

[0083] S102, obtaining the actual measured value of the boiler operating load, drawing an operating load difference curve according to the actual measured value of the boiler operating load, and determining the change in boiler coal consumption according to the operating load difference curve;

[0084] S103, determining the coal conveying amount of the coal conveying system according to the change in the coal consumption of the boiler, and controlling the running speed of the coal conveying belt according to the coal conveying amount;

[0085] S104, calculating the boiler operation efficiency according to the operation speed, and determining the coal quality parameter according to the boiler operation efficiency;

[0086] S105, determining coal particle parameters according to the coal quality parameters, setting target coal particle fineness according to the coal particle parameters, and controlling the screening and crushing equipment according to the target coal particle fineness.

[0087] By applying the above technical scheme, the present invention obtains the current boiler working parameters, establishes an operating load prediction model, obtains the optimal value of the boiler operating load according to the operating load prediction model; obtains the actual measured value of the boiler operating load, draws the operating load difference curve according to the actual measured value of the boiler operating load, and determines the change in boiler coal consumption according to the operating load difference curve; determines the coal conveying volume of the coal conveying system according to the change in boiler coal consumption, and controls the operating speed of the coal conveying belt according to the coal conveying volume; calculates the boiler operating efficiency according to the operating speed, and determines the coal quality parameters according to the boiler operating efficiency; determines the coal particle parameters according to the coal quality parameters, sets the target coal particle fineness according to the coal particle parameters, and controls the screening and crushing equipment according to the target coal particle fineness. The coal conveying system is made more energy-efficient and the operating efficiency of the thermal power plant units is improved.

[0088] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or by software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present invention.

[0089] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A coal handling control system for a thermal power plant, characterized in that: include: The model prediction module is used to obtain the current boiler operating parameters, establish an operating load prediction model, and obtain the optimal value of the boiler operating load based on the operating load prediction model; The load calculation module is used to obtain the actual value of the boiler operating load, draw an operating load difference curve based on the actual value of the boiler operating load, and determine the change in boiler coal consumption based on the operating load difference curve; The speed control module is used to determine the coal conveying capacity of the coal conveying system according to the change in the coal consumption of the boiler, and to control the running speed of the coal conveying belt according to the coal conveying capacity; A quality calculation module is used to calculate the boiler operating efficiency according to the operating speed and determine the coal quality parameters according to the boiler operating efficiency; A fineness control module is used to determine coal particle parameters according to coal quality parameters, set target coal particle fineness according to the coal particle parameters, and control the screening and crushing equipment according to the target coal particle fineness; The model prediction module is used to: Obtain historical boiler operating parameters and corresponding historical operating load data, and pre-process the historical boiler operating parameters and corresponding historical operating load data; Establishing a data set based on the pre-processed historical boiler operating parameters and the corresponding historical operating load data, and establishing an operating load prediction model based on the data set; The operation load forecasting model is trained according to the data set to obtain the final operation load forecasting model; Input the current boiler operating parameters into the final operating load prediction model to obtain the optimal value of the boiler operating load; The load calculation module is used for: Calculate the difference between the actual value and the optimal value of the boiler operating load, and draw an operating load difference curve according to the change trend of the difference between the actual value and the optimal value of the boiler operating load over time; Determine the average value of the operating load difference within the preset period according to the operating load difference curve, and if the average value of the operating load difference within the preset period is less than the first preset threshold, set the boiler coal consumption change to zero; If the average value of the operating load difference within the preset period is greater than or equal to the first preset threshold value, the standard value of the boiler coal consumption change is set, and the ratio of the average value of the operating load difference within the preset period to the preset standard average value is calculated to obtain the boiler coal consumption change correction value; The boiler coal consumption change correction value is multiplied by the boiler coal consumption change standard value to obtain the boiler coal consumption change within the preset period; The mass calculation module is used for: Determine the actual coal delivery amount within the preset period according to the conveying speed of the coal conveyor belt within the preset period, and calculate the optimal value of boiler operation efficiency corresponding to the actual coal delivery amount according to the boiler coal type information; Obtain the actual measured value of boiler operating efficiency within a preset period, calculate the difference between the optimal value of boiler operating efficiency and the actual measured value, and obtain the operating efficiency difference; Calculating the ratio of the operating efficiency difference to the preset standard operating efficiency difference, normalizing the ratio of the operating efficiency difference to the preset standard operating efficiency difference, and obtaining the coal quality parameter; The fineness control module is used for: Substitute the coal quality parameters into the coal particle parameter calculation formula to obtain the coal particle parameters. The specific calculation formula for the coal particle parameters is: in, is the coal particle parameter, To preset standard coal particle parameters, is the natural exponential function, is the coal quality parameter; The fineness control module is also used for: Determine the coal particle fineness correction value according to the difference between the coal particle parameter and the preset standard coal particle parameter, and if the difference between the coal particle parameter and the preset standard coal particle parameter is greater than a second preset threshold value, set the first correction value as the coal particle fineness correction value; If the difference between the coal particle parameter and the preset standard coal particle parameter is less than or equal to the second preset threshold value, the second correction value is set as the coal particle fineness correction value; If the difference between the coal particle parameter and the preset standard coal particle parameter is less than the third preset threshold value, the third correction value is set as the coal particle fineness correction value.

2. The coal transportation control system of a thermal power plant according to claim 1, characterized in that: The speed control module is used for: Determine the boiler coal consumption within a preset period according to the change in boiler coal consumption, and determine the target coal transportation volume of the coal conveyor belt within the preset period according to the boiler coal consumption within the preset period; The preset time period is divided into a number of sub-periods, and the maximum allowable cross-sectional area of ​​the coal conveyor belt in each sub-period is set according to the target coal transportation volume in the preset time period; Obtain the current cross-sectional area of ​​the coal conveyor belt, calculate the ratio of the current cross-sectional area to the maximum allowable cross-sectional area, and obtain the full load rate of the coal conveyor belt; The conveying speed of the coal conveyor belt is controlled according to the full load rate of the coal conveyor belt.

3. The coal transportation control system of a thermal power plant according to claim 2, characterized in that: The speed control module is also used for: Real-time detection of the full load rate of the coal conveyor belt, and drawing a full load rate change curve according to the change trend of the full load rate of the coal conveyor belt over time; When it is detected that the current full load factor is less than the first preset threshold, the absolute value of the slope average of the current full load factor change in the sub-period is calculated according to the full load factor change curve to obtain the full load factor change speed parameter; Calculate the ratio of the preset standard full load rate change speed parameter to the full load rate change speed parameter to obtain the conveying speed correction parameter; The conveying speed correction parameter is multiplied by the current conveying speed of the coal conveyor belt to obtain the corrected conveying speed of the coal conveyor belt, and the corrected conveying speed of the coal conveyor belt is updated to the current conveying speed of the coal conveyor belt.

4. The coal transportation control system of a thermal power plant according to claim 1, characterized in that: The fineness control module is also used for: Obtain the coal particle fineness of the current screening and crushing equipment, multiply the coal particle fineness of the current screening and crushing equipment by the coal particle fineness correction value to obtain the target coal particle fineness; The target coal particle size is input into the screening and crushing equipment, and the coal is screened and crushed by the screening and crushing equipment.

5. A method for controlling coal transportation in a thermal power plant, characterized in that: include: Obtain the current boiler operating parameters, establish an operating load prediction model, and obtain the optimal value of the boiler operating load based on the operating load prediction model; Obtain the actual measured value of the boiler operating load, draw an operating load difference curve based on the actual measured value of the boiler operating load, and determine the change in boiler coal consumption based on the operating load difference curve; Determine the coal conveying capacity of the coal conveying system according to the change in boiler coal consumption, and control the running speed of the coal conveying belt according to the coal conveying capacity; Calculate boiler operating efficiency based on operating speed, and determine coal quality parameters based on boiler operating efficiency; Determine coal particle parameters according to coal quality parameters, set target coal particle fineness according to coal particle parameters, and control screening and crushing equipment according to target coal particle fineness; The step of obtaining the optimal value of the boiler operating load according to the operating load prediction model includes: Obtain historical boiler operating parameters and corresponding historical operating load data, and pre-process the historical boiler operating parameters and corresponding historical operating load data; Establishing a data set based on the pre-processed historical boiler operating parameters and the corresponding historical operating load data, and establishing an operating load prediction model based on the data set; The operation load forecasting model is trained according to the data set to obtain the final operation load forecasting model; Input the current boiler operating parameters into the final operating load prediction model to obtain the optimal value of the boiler operating load; The step of drawing an operating load difference curve according to the actual measured value of the boiler operating load and determining the change in boiler coal consumption according to the operating load difference curve includes: Calculate the difference between the actual value and the optimal value of the boiler operating load, and draw an operating load difference curve according to the change trend of the difference between the actual value and the optimal value of the boiler operating load over time; Determine the average value of the operating load difference within the preset period according to the operating load difference curve, and if the average value of the operating load difference within the preset period is less than the first preset threshold, set the boiler coal consumption change to zero; If the average value of the operating load difference within the preset period is greater than or equal to the first preset threshold value, the standard value of the boiler coal consumption change is set, and the ratio of the average value of the operating load difference within the preset period to the preset standard average value is calculated to obtain the boiler coal consumption change correction value; The boiler coal consumption change correction value is multiplied by the boiler coal consumption change standard value to obtain the boiler coal consumption change within the preset period; The step of calculating the boiler operating efficiency according to the operating speed and determining the coal quality parameters according to the boiler operating efficiency includes: Determine the actual coal delivery amount within the preset period according to the conveying speed of the coal conveyor belt within the preset period, and calculate the optimal value of boiler operation efficiency corresponding to the actual coal delivery amount according to the boiler coal type information; Obtain the actual measured value of boiler operating efficiency within a preset period, calculate the difference between the optimal value of boiler operating efficiency and the actual measured value, and obtain the operating efficiency difference; Calculating the ratio of the operating efficiency difference to the preset standard operating efficiency difference, normalizing the ratio of the operating efficiency difference to the preset standard operating efficiency difference, and obtaining the coal quality parameter; Determining coal particle parameters according to coal quality parameters includes: Substitute the coal quality parameters into the coal particle parameter calculation formula to obtain the coal particle parameters. The specific calculation formula for the coal particle parameters is: in, is the coal particle parameter, To preset standard coal particle parameters, is the natural exponential function, is the coal quality parameter; The step of setting the target coal particle fineness according to the coal particle parameters comprises: Determine the coal particle fineness correction value according to the difference between the coal particle parameter and the preset standard coal particle parameter, and if the difference between the coal particle parameter and the preset standard coal particle parameter is greater than a second preset threshold value, set the first correction value as the coal particle fineness correction value; If the difference between the coal particle parameter and the preset standard coal particle parameter is less than or equal to the second preset threshold value, the second correction value is set as the coal particle fineness correction value; If the difference between the coal particle parameter and the preset standard coal particle parameter is less than the third preset threshold value, the third correction value is set as the coal particle fineness correction value.

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