Fuel management method and system based on standard coal unit price

Abstract

The invention relates to the technical field of coal electricity, and particularly discloses a standard coal unit price-based fuel management method and system, and the method comprises the steps: obtaining historical standard coal unit price data, and determining a standard coal unit price prediction curve of a current season according to the historical standard coal unit price data; determining a coal blending combustion ratio according to the standard coal unit price prediction curve in the current season, and making a coal blending combustion plan of the power plant according to the coal blending combustion ratio; and acquiring humidity data of the coal yard, determining an optimal inventory ratio according to the humidity data of the coal yard, determining a coal purchasing period according to the coal blending combustion plan, and making a coal purchasing plan based on the optimal inventory ratio and the coal purchasing period. According to the method, the unit price of the standard coal is predicted, the formulated coal blending combustion plan not only can exert high coal combustion efficiency, but also can meet the economical efficiency standard of the power plant, meanwhile, the coal purchasing plan is formulated based on the coal blending combustion plan, and the coal-fired power generation cost of the power plant is effectively reduced.

Description

Technical Field

[0001] The present application relates to the field of coal power technology, and more specifically, to a fuel management method and system based on standard coal unit price. Background Art

[0002] Coal is currently the main fuel for thermal power generation in my country. Its main characteristics are safety, stability, low price, and widespread in my country. In thermal power plants, coal is crushed into fine powder and then transported to the boiler through coal powder pipelines. It is burned under high temperature and high pressure to produce high temperature and high pressure steam, and drives the steam turbine to generate electricity. my country has abundant coal reserves and many types of coal. Low volatile matter and low calorific value coal account for about 40% of the total coal. At present, the fuel cost of thermal power plants accounts for more than 70% of the total power generation cost. The diversification of blended coal has become the norm, and coal blending has become the main way for thermal power plants to reduce costs and increase efficiency. In order to strengthen the management of coal blending in coal-fired power plants, through the economic evaluation of coal blending, guide fuel procurement, reduce fuel procurement costs, achieve the coordination of fuel consumption and procurement, and maximize the economic benefits of the whole plant.

[0003] The existing coal blending plan is mainly based on the experience of operation and maintenance personnel. Due to the influence of market fluctuations, the unit price of standard coal is always in a fluctuating state. It is difficult for operation and maintenance personnel to fully consider the fluctuation of the unit price of standard coal, which easily leads to reduced combustion efficiency of power plant fuel and low economic efficiency. Summary of the invention

[0004] The present invention provides a fuel management method and system based on the standard coal unit price, which is used to solve the problem of reduced combustion efficiency and low economic efficiency of power plant fuel in the prior art. It includes: Obtain historical standard coal unit price data, and determine the standard coal unit price forecast curve for the current season based on the historical standard coal unit price data; Determine the coal blending ratio based on the standard coal unit price forecast curve of the current season, and formulate the coal blending plan of the power plant based on the coal blending ratio; Obtain coal yard humidity data, determine the optimal inventory ratio based on the coal yard humidity data, determine the coal procurement cycle based on the coal blending plan, and formulate a coal procurement plan based on the optimal inventory ratio and coal procurement cycle.

[0005] Furthermore, the standard coal unit price forecast curve for the current season is determined based on the historical standard coal unit price data, including: Determine the standard coal unit price data set of each season according to the historical standard coal unit price data, and draw the historical standard coal unit price change curve of each season based on the standard coal unit price data set of each season; Determine the curve shape symbol sequence of each season according to the historical standard coal unit price change curve, and determine the typical change curve of the standard coal unit price in each season according to the curve shape symbol sequence; The ambient temperature of the current season is obtained, and the typical change curve is corrected according to the ambient temperature of the current season to obtain the standard coal unit price prediction curve of the current season.

[0006] Furthermore, the curve shape symbol sequence of each season is determined according to the historical standard coal unit price change curve, and the typical change curve of the standard coal unit price of each season is determined according to the curve shape symbol sequence, including: Obtain a preset first time period, divide the historical standard coal unit price change curve into a plurality of sub-change curves based on the preset first time period, and calculate the average slope of each sub-change curve; Obtain a preset slope mean interval, and establish a curve shape symbol mapping table according to the preset slope mean interval; The slope mean of the sub-change curve is mapped into a curve shape symbol according to the curve shape symbol mapping table, and the curve shape symbol that appears most frequently in the same preset first time period in the historical standard coal unit price change curve corresponding to each season is screened out according to the historical standard coal unit price data, so as to obtain the typical curve shape symbol corresponding to each sub-change curve; The typical curve morphology symbols corresponding to each sub-change curve are spliced ​​to obtain a typical curve morphology symbol sequence corresponding to the historical standard coal unit price change curve, and a change curve mapping table is established based on the typical curve morphology symbol sequence. According to the change curve mapping table, the typical curve morphology symbol sequence is mapped into a typical change curve of the standard coal unit price to obtain the typical change curve of the standard coal unit price in each season.

[0007] Furthermore, the typical change curve is corrected according to the ambient temperature of the current season, including: Determine the ambient temperature change value of the current season within the preset second time period according to the ambient temperature of the current season, and calculate the average ambient temperature according to the ambient temperature change value of the current season within the preset second time period; Obtaining the historical average temperature corresponding to the preset second time period, calculating the difference between the average ambient temperature of the current season and the historical average temperature, and obtaining the ambient temperature deviation of the current season; Obtaining a preset allowable ambient temperature deviation, calculating a ratio of the ambient temperature deviation to the preset allowable ambient temperature deviation, and obtaining an ambient temperature allowable coefficient; The ambient temperature allowable coefficient is normalized to obtain a correction coefficient of the typical change curve, and the correction coefficient is multiplied by a predicted value of the standard coal unit price corresponding to a preset second time period on the typical change curve to obtain a corrected typical change curve.

[0008] Furthermore, the coal blending ratio is determined according to the standard coal unit price forecast curve of the current season, and the coal blending plan of the power plant is formulated according to the coal blending ratio, including: Obtain the current coal storage information of the power plant, determine the combustion efficiency index based on the current coal storage information of the power plant, and determine the economic index of the coal field in the current season based on the standard coal unit price prediction curve; The ratio of the combustion efficiency index to the economic index is determined as the coal blending ratio, a coal blending model is established, and the coal blending plan is determined based on the coal blending model.

[0009] Furthermore, the combustion efficiency index is determined based on the current coal storage information of the power plant, and the economic index of the coal field in the current season is determined based on the standard coal unit price prediction curve, including: Determine the remaining quantity of each type of coal in the coal yard according to the current coal storage information of the power plant, and determine several coal blending plans according to the remaining quantity of each type of coal in the coal yard; Screen out the maximum combustion efficiency among several coal blending schemes, calculate the ratio of the maximum combustion efficiency to the preset allowable combustion coefficient, and obtain the combustion efficiency index; The predicted value of the standard coal unit price for the current period is determined according to the standard coal unit price prediction curve, and the ratio of the predicted value of the standard coal unit price for the current period to the preset allowable economic coefficient is calculated to obtain the economic index.

[0010] Furthermore, a coal blending and combustion model is established, and a coal blending and combustion plan is determined according to the coal blending and combustion model, including: Obtain historical coal blending and combustion ratios and corresponding coal blending and combustion plans, and pre-process the historical coal blending and combustion ratios and corresponding coal blending and combustion plans; A data set is established based on the pre-processed historical coal blending and combustion ratio and the corresponding coal blending and combustion plan, and an initial blending and combustion plan model is established based on the data set; The initial blending and combustion planning model is trained according to the data set to obtain the final blending and combustion planning model; The current coal blending and combustion ratio is obtained, and the current coal blending and combustion ratio is input into the blending and combustion plan model to obtain the corresponding coal blending and combustion plan.

[0011] Furthermore, the optimal inventory ratio is determined based on the humidity data of the coal yard, including: Obtain preset coal yard humidity data, and calculate the difference between the current coal yard humidity data and the preset coal yard humidity data; Determine whether the difference between the current coal yard humidity data and the preset coal yard humidity data is greater than a second preset threshold value; if the difference between the current coal yard humidity data and the preset coal yard humidity data is greater than the second preset threshold value, set the first inventory ratio as the optimal inventory ratio; If the difference between the current coal yard humidity data and the preset coal yard humidity data is less than or equal to the second preset threshold, then determine whether the difference between the current coal yard humidity data and the preset coal yard humidity data is greater than a third preset threshold; If the difference between the current coal yard humidity data and the preset coal yard humidity data is greater than the third preset threshold, the second inventory ratio is set as the optimal inventory ratio; If the difference between the current coal yard humidity data and the preset coal yard humidity data is less than or equal to the third preset threshold, the third inventory ratio is set as the optimal inventory ratio.

[0012] Furthermore, the coal procurement cycle is determined according to the coal blending plan, including: Determine the coal consumption in a preset third time period according to the current coal blending plan, draw a coal consumption curve chart according to the coal consumption in the preset third time period, perform linear regression on the coal consumption curve chart, and obtain a coal consumption linear regression model; The time required for the current coal quantity to reach the fourth preset threshold is predicted based on the coal consumption linear regression model, and the coal procurement cycle is determined based on the time required for the current coal quantity to reach the fourth preset threshold.

[0013] In order to achieve the above object, the present invention also provides a fuel management system based on standard coal unit price, comprising: The standard coal unit price prediction module is used to obtain historical standard coal unit price data and determine the standard coal unit price prediction curve for the current season based on the historical standard coal unit price data; The coal blending and combustion plan formulation module is used to determine the coal blending and combustion ratio according to the standard coal unit price forecast curve of the current season, and formulate the coal blending and combustion plan of the power plant according to the coal blending and combustion ratio; The procurement plan formulation module is used to obtain the humidity data of the coal yard, determine the optimal inventory ratio based on the humidity data of the coal yard, determine the coal procurement cycle based on the coal blending plan, and formulate a coal procurement plan based on the optimal inventory ratio and coal procurement cycle.

[0014] The beneficial effects of the present invention are: By applying the above technical scheme, the present invention predicts the standard coal unit price by season, can accurately predict the standard coal unit price of each season, and formulate different coal blending and combustion plans according to the standard coal unit price prediction results of different seasons, which can take into account both the combustion efficiency and economy of coal. A coal procurement plan is formulated based on the coal blending and combustion plan, effectively reducing the coal-fired power generation cost of the power plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] 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.

[0016] Figure 1 The overall flow chart of a fuel management method based on standard coal unit price proposed in an embodiment of the present invention is shown; Figure 2The structure diagram of a fuel management system based on standard coal unit price proposed in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0017] 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.

[0018] The present application embodiment provides a fuel management method based on standard coal unit price, such as Figure 1 As shown, including: S101, obtaining historical standard coal unit price data, and determining a standard coal unit price prediction curve for the current season based on the historical standard coal unit price data; In this embodiment, the historical standard coal unit price data is the standard coal unit price monitoring data of the power plant in recent years. The standard coal unit price monitoring data of the power plant in recent years is divided by season to determine the standard coal unit price prediction curve of the current season.

[0019] In some embodiments of the present application, a standard coal unit price prediction curve for the current season is determined based on historical standard coal unit price data, including: determining a standard coal unit price data set for each season based on the historical standard coal unit price data, and drawing a historical standard coal unit price change curve for each season based on the standard coal unit price data set for each season; determining a curve morphology symbol sequence for each season based on the historical standard coal unit price change curve, and determining a typical change curve of the standard coal unit price for each season based on the curve morphology symbol sequence; obtaining the ambient temperature of the current season, and correcting the typical change curve based on the ambient temperature of the current season to obtain the standard coal unit price prediction curve for the current season.

[0020] In this embodiment, the curve morphology symbol sequence is the typical fluctuation of the standard coal unit price in each season. The typical change curve of each season is obtained through the curve morphology symbol sequence. At the same time, the typical change curve is corrected based on the current ambient temperature to obtain the standard coal unit price prediction curve of the current season, thereby realizing the accurate prediction of the standard coal unit price.

[0021] In some embodiments of the present application, a curve morphology symbol sequence for each season is determined based on a historical standard coal unit price change curve, and a typical change curve of the standard coal unit price in each season is determined based on the curve morphology symbol sequence, including: obtaining a preset first time period, dividing the historical standard coal unit price change curve into a number of sub-change curves based on the preset first time period, and calculating the slope mean of each sub-change curve; obtaining a preset slope mean interval, and establishing a curve morphology symbol mapping table based on the preset slope mean interval; mapping the slope mean of the sub-change curve into a curve morphology symbol according to the curve morphology symbol mapping table, and filtering out the curve morphology symbols that appear the most times in the same preset first time period in the historical standard coal unit price change curve corresponding to each season according to the historical standard coal unit price data, and obtaining the typical curve morphology symbols corresponding to each sub-change curve; splicing the typical curve morphology symbols corresponding to each sub-change curve to obtain a typical curve morphology symbol sequence of the corresponding historical standard coal unit price change curve, establishing a change curve mapping table based on the typical curve morphology symbol sequence, and mapping the typical curve morphology symbol sequence into a typical change curve of the standard coal unit price according to the change curve mapping table, and obtaining the typical change curve of the standard coal unit price in each season.

[0022] In this embodiment, the fluctuation of each segment of the standard coal unit price change curve is obtained by calculating the slope mean of the sub-change curve. The curve shape symbol mapping table is formulated according to the standard coal unit price change experience of the power plant. Its content is each preset slope mean interval and the corresponding curve shape symbol. The slope mean of the sub-change curve is mapped into a curve shape symbol through the curve shape symbol mapping table.

[0023] In this embodiment, the standard coal unit price change curves in the historical standard coal unit price data are mapped and converted into curve morphology symbols, and the curve morphology symbols that appear most frequently in the same preset first time period in the corresponding season are vertically screened out to obtain the typical curve morphology symbols in the sub-change curve, and the typical curve morphology symbols are arranged in sequence to obtain a typical curve morphology symbol sequence.

[0024] In this embodiment, the change curve mapping table is formulated based on the fluctuation experience of the standard coal unit price. Each curve shape symbol corresponds to a section of the change curve. By splicing the sections of the change curves corresponding to the curve shape symbol sequence, a typical change curve is obtained.

[0025] In some embodiments of the present application, the typical change curve is corrected according to the ambient temperature of the current season, including: determining the ambient temperature change value of the current season within a preset second time period according to the ambient temperature of the current season, and calculating the average ambient temperature according to the ambient temperature change value of the current season within the preset second time period; obtaining the historical average temperature corresponding to the preset second time period, calculating the difference between the average ambient temperature of the current season and the historical average temperature, and obtaining the ambient temperature deviation of the current season; obtaining the preset allowable ambient temperature deviation, calculating the ratio of the ambient temperature deviation to the preset allowable ambient temperature deviation, and obtaining the ambient temperature allowable coefficient; normalizing the ambient temperature allowable coefficient to obtain a correction coefficient of the typical change curve, and multiplying the correction coefficient by the predicted value of the standard coal unit price corresponding to the preset second time period on the typical change curve to obtain a corrected typical change curve.

[0026] In this embodiment, the ambient temperature change value from before the second time period to the current day is monitored, the average ambient temperature of each day is calculated, and the historical average temperature of the historical ambient temperature during that period is calculated to obtain the ambient temperature deviation of the current season. The preset allowable ambient temperature deviation is set according to the operating experience of the power plant, and the normalization processing formula of the ambient temperature allowable coefficient is:

[0027] in, is the normalized ambient temperature allowable coefficient, is the current ambient temperature allowable coefficient, is the maximum allowable coefficient of historical ambient temperature, It is the minimum allowable coefficient of historical ambient temperature.

[0028] S102, determining a coal blending ratio according to a standard coal unit price prediction curve of the current season, and formulating a coal blending plan for the power plant according to the coal blending ratio; In some embodiments of the present application, a coal blending ratio is determined according to a standard coal unit price prediction curve for the current season, and a coal blending plan for a power plant is formulated according to the coal blending ratio, including: obtaining the current coal storage information of the power plant, determining a combustion efficiency index according to the current coal storage information of the power plant, and determining the economic index of the coal yard in the current season according to the standard coal unit price prediction curve; determining the ratio of the combustion efficiency index to the economic index as the coal blending ratio, establishing a coal blending model, and determining the coal blending plan according to the coal blending model.

[0029] In some embodiments of the present application, a combustion efficiency index is determined based on the current coal storage information of the power plant, and an economic index of the coal yard in the current season is determined based on the standard coal unit price prediction curve, including: determining the remaining amount of each type of coal in the coal yard based on the current coal storage information of the power plant, and determining several coal blending schemes based on the remaining amount of each type of coal in the coal yard; screening out the maximum combustion efficiency among several coal blending schemes, calculating the ratio of the maximum combustion efficiency to a preset allowable combustion coefficient, and obtaining a combustion efficiency index; determining the predicted value of the standard coal unit price for the current time period based on the standard coal unit price prediction curve, calculating the ratio of the predicted value of the standard coal unit price for the current time period to the preset allowable economic coefficient, and obtaining an economic index.

[0030] In this embodiment, according to the remaining amount of each type of coal in the coal yard, combined with the calorific value data of each type of coal and the operating data of the power plant, several coal blending plans are formulated and the combustion efficiency of each plan is calculated. The combustion efficiency index is obtained by calculating the ratio of the maximum combustion efficiency to the preset allowable combustion coefficient.

[0031] In some embodiments of the present application, a coal blending model is established, and a coal blending plan is determined according to the coal blending model, including: obtaining historical coal blending ratios and corresponding coal blending plans, and preprocessing the historical coal blending ratios and the corresponding coal blending plans; establishing a data set according to the preprocessed historical coal blending ratios and the corresponding coal blending plans, and establishing an initial blending plan model according to the data set; training the initial blending plan model according to the data set to obtain a final blending plan model; obtaining the current coal blending ratio, inputting the current coal blending ratio into the blending plan model, and obtaining the corresponding coal blending plan.

[0032] In this embodiment, the neural network model is trained based on the historical coal blending ratios and the corresponding coal blending plan and the result of the coal blending plan is finally output, while taking into account the combustion efficiency and economy of the coal.

[0033] S103, obtaining coal yard humidity data, determining the optimal inventory ratio according to the coal yard humidity data, determining the coal purchasing cycle according to the coal blending plan, and formulating a coal purchasing plan based on the optimal inventory ratio and the coal purchasing cycle.

[0034] In some embodiments of the present application, the optimal inventory ratio is determined according to the coal yard humidity data, including: obtaining preset coal yard humidity data, calculating the difference between the current coal yard humidity data and the preset coal yard humidity data; judging whether the difference between the current coal yard humidity data and the preset coal yard humidity data is greater than a second preset threshold value, if the difference between the current coal yard humidity data and the preset coal yard humidity data is greater than the second preset threshold value, setting the first inventory ratio as the optimal inventory ratio; if the difference between the current coal yard humidity data and the preset coal yard humidity data is less than or equal to the second preset threshold value, judging whether the difference between the current coal yard humidity data and the preset coal yard humidity data is greater than a third preset threshold value; if the difference between the current coal yard humidity data and the preset coal yard humidity data is greater than the third preset threshold value, setting the second inventory ratio as the optimal inventory ratio; if the difference between the current coal yard humidity data and the preset coal yard humidity data is less than or equal to the third preset threshold value, setting the third inventory ratio as the optimal inventory ratio.

[0035] In this embodiment, the second preset threshold is greater than the third preset threshold, the first inventory ratio, the second inventory ratio, and the third inventory ratio decrease in sequence, and the corresponding optimal inventory ratio is determined according to the difference between the current coal yard humidity data and the preset coal yard humidity data. The smaller the difference between the current coal yard humidity data and the preset coal yard humidity data, the lower the corresponding optimal inventory ratio.

[0036] In some embodiments of the present application, a coal purchasing cycle is determined based on a coal blending and combustion plan, including: determining the coal consumption within a preset third time period based on the current coal blending and combustion plan, drawing a coal consumption curve chart based on the coal consumption in the preset third time period, performing linear regression on the coal consumption curve chart to obtain a coal consumption linear regression model; predicting the time required for the current coal quantity to reach a fourth preset threshold value based on the coal consumption linear regression model, and determining the coal purchasing cycle based on the time required for the current coal quantity to reach the fourth preset threshold value.

[0037] In this embodiment, the coal consumption is predicted based on the coal consumption linear regression model to obtain the time required for the current coal quantity to reach the fourth preset threshold, and this time is set as the coal procurement cycle.

[0038] Based on the same technical concept, such as Figure 2As shown, the present invention also provides a fuel management system based on standard coal unit price, characterized in that it includes: a standard coal unit price prediction module, used to obtain historical standard coal unit price data, and determine the standard coal unit price prediction curve of the current season according to the historical standard coal unit price data; a blending and combustion plan formulation module, used to determine the coal blending and combustion ratio according to the standard coal unit price prediction curve of the current season, and formulate the coal blending and combustion plan of the power plant according to the coal blending and combustion ratio; a procurement plan formulation module, used to obtain coal yard humidity data, determine the optimal inventory ratio according to the coal yard humidity data, determine the coal procurement cycle according to the coal blending and combustion plan, and formulate a coal procurement plan based on the optimal inventory ratio and the coal procurement cycle.

[0039] By applying the above technical scheme, the present invention obtains historical standard coal unit price data, determines the standard coal unit price prediction curve of the current season according to the historical standard coal unit price data; determines the coal blending and combustion ratio according to the standard coal unit price prediction curve of the current season, and formulates the coal blending and combustion plan of the power plant according to the coal blending and combustion ratio; obtains coal yard humidity data, determines the optimal inventory ratio according to the coal yard humidity data, determines the coal procurement cycle according to the coal blending and combustion plan, and formulates a coal procurement plan based on the optimal inventory ratio and the coal procurement cycle. The present invention predicts the standard coal unit price, and the formulated coal blending and combustion plan can not only exert a higher coal combustion efficiency, but also meet the economic standards of the power plant. At the same time, a coal procurement plan is formulated based on the coal blending and combustion plan, which effectively reduces the coal-fired power generation cost of the power plant.

[0040] 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.

[0041] 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 fuel management method based on standard coal unit price, characterized in that: The method comprises: Obtain historical standard coal unit price data, and determine the standard coal unit price forecast curve for the current season based on the historical standard coal unit price data; Determine the coal blending ratio based on the standard coal unit price forecast curve of the current season, and formulate the coal blending plan of the power plant based on the coal blending ratio; Obtain coal yard humidity data, determine the optimal inventory ratio based on the coal yard humidity data, determine the coal procurement cycle based on the coal blending plan, and formulate a coal procurement plan based on the optimal inventory ratio and coal procurement cycle.

2. The fuel management method based on standard coal unit price according to claim 1, characterized in that: The standard coal price forecast curve for the current season is determined based on historical standard coal price data, including: Determine the standard coal unit price data set of each season according to the historical standard coal unit price data, and draw the historical standard coal unit price change curve of each season based on the standard coal unit price data set of each season; Determine the curve shape symbol sequence of each season according to the historical standard coal unit price change curve, and determine the typical change curve of the standard coal unit price in each season according to the curve shape symbol sequence; The ambient temperature of the current season is obtained, and the typical change curve is corrected according to the ambient temperature of the current season to obtain the standard coal unit price prediction curve of the current season.

3. The fuel management method based on standard coal unit price according to claim 2, characterized in that: According to the historical standard coal unit price change curve, the curve shape symbol sequence of each season is determined, and according to the curve shape symbol sequence, the typical change curve of the standard coal unit price of each season is determined, including: Obtain a preset first time period, divide the historical standard coal unit price change curve into a plurality of sub-change curves based on the preset first time period, and calculate the average slope of each sub-change curve; Obtain a preset slope mean interval, and establish a curve shape symbol mapping table according to the preset slope mean interval; The slope mean of the sub-change curve is mapped into a curve shape symbol according to the curve shape symbol mapping table, and the curve shape symbol that appears most frequently in the same preset first time period in the historical standard coal unit price change curve corresponding to each season is screened out according to the historical standard coal unit price data, so as to obtain the typical curve shape symbol corresponding to each sub-change curve; The typical curve morphology symbols corresponding to each sub-change curve are spliced ​​to obtain a typical curve morphology symbol sequence corresponding to the historical standard coal unit price change curve, and a change curve mapping table is established based on the typical curve morphology symbol sequence. According to the change curve mapping table, the typical curve morphology symbol sequence is mapped into a typical change curve of the standard coal unit price to obtain the typical change curve of the standard coal unit price in each season.

4. The fuel management method based on standard coal unit price according to claim 2, characterized in that: The typical change curve is corrected according to the ambient temperature of the current season, including: Determine the ambient temperature change value of the current season within the preset second time period according to the ambient temperature of the current season, and calculate the average ambient temperature according to the ambient temperature change value of the current season within the preset second time period; Obtaining the historical average temperature corresponding to the preset second time period, calculating the difference between the average ambient temperature of the current season and the historical average temperature, and obtaining the ambient temperature deviation of the current season; Obtaining a preset allowable ambient temperature deviation, calculating a ratio of the ambient temperature deviation to the preset allowable ambient temperature deviation, and obtaining an ambient temperature allowable coefficient; The ambient temperature allowable coefficient is normalized to obtain a correction coefficient of the typical change curve, and the correction coefficient is multiplied by a predicted value of the standard coal unit price corresponding to a preset second time period on the typical change curve to obtain a corrected typical change curve.

5. The fuel management method based on standard coal unit price according to claim 1, characterized in that: The coal blending ratio is determined based on the standard coal unit price forecast curve of the current season, and the coal blending plan of the power plant is formulated based on the coal blending ratio, including: Obtain the current coal storage information of the power plant, determine the combustion efficiency index based on the current coal storage information of the power plant, and determine the economic index of the coal field in the current season based on the standard coal unit price prediction curve; The ratio of the combustion efficiency index to the economic index is determined as the coal blending ratio, a coal blending model is established, and the coal blending plan is determined based on the coal blending model.

6. The fuel management method based on standard coal unit price according to claim 5, characterized in that: Determine the combustion efficiency index based on the current coal storage information of the power plant, and determine the economic index of the coal field in the current season based on the standard coal unit price forecast curve, including: Determine the remaining quantity of each type of coal in the coal yard according to the current coal storage information of the power plant, and determine several coal blending plans according to the remaining quantity of each type of coal in the coal yard; Screen out the maximum combustion efficiency among several coal blending schemes, calculate the ratio of the maximum combustion efficiency to the preset allowable combustion coefficient, and obtain the combustion efficiency index; The predicted value of the standard coal unit price for the current period is determined according to the standard coal unit price prediction curve, and the ratio of the predicted value of the standard coal unit price for the current period to the preset allowable economic coefficient is calculated to obtain the economic index.

7. The fuel management method based on standard coal unit price according to claim 5, characterized in that: Establish a coal blending and combustion model, and determine the coal blending and combustion plan based on the coal blending and combustion model, including: Obtain historical coal blending and combustion ratios and corresponding coal blending and combustion plans, and pre-process the historical coal blending and combustion ratios and corresponding coal blending and combustion plans; A data set is established based on the pre-processed historical coal blending and combustion ratio and the corresponding coal blending and combustion plan, and an initial blending and combustion plan model is established based on the data set; The initial blending and combustion planning model is trained according to the data set to obtain the final blending and combustion planning model; The current coal blending and combustion ratio is obtained, and the current coal blending and combustion ratio is input into the blending and combustion plan model to obtain the corresponding coal blending and combustion plan.

8. The fuel management method based on standard coal unit price according to claim 1, characterized in that: Determine the optimal inventory ratio based on the humidity data of the coal yard, including: Obtain preset coal yard humidity data, and calculate the difference between the current coal yard humidity data and the preset coal yard humidity data; Determine whether the difference between the current coal yard humidity data and the preset coal yard humidity data is greater than a second preset threshold value; if the difference between the current coal yard humidity data and the preset coal yard humidity data is greater than the second preset threshold value, set the first inventory ratio as the optimal inventory ratio; If the difference between the current coal yard humidity data and the preset coal yard humidity data is less than or equal to the second preset threshold, then determine whether the difference between the current coal yard humidity data and the preset coal yard humidity data is greater than a third preset threshold; If the difference between the current coal yard humidity data and the preset coal yard humidity data is greater than the third preset threshold, the second inventory ratio is set as the optimal inventory ratio; If the difference between the current coal yard humidity data and the preset coal yard humidity data is less than or equal to the third preset threshold, the third inventory ratio is set as the optimal inventory ratio.

9. The fuel management method based on standard coal unit price according to claim 8, characterized in that: Determine the coal procurement cycle based on the coal blending plan, including: Determine the coal consumption in a preset third time period according to the current coal blending plan, draw a coal consumption curve chart according to the coal consumption in the preset third time period, perform linear regression on the coal consumption curve chart, and obtain a coal consumption linear regression model; The time required for the current coal quantity to reach the fourth preset threshold is predicted based on the coal consumption linear regression model, and the coal procurement cycle is determined based on the time required for the current coal quantity to reach the fourth preset threshold.

10. A fuel management system based on standard coal unit price, characterized in that: include: The standard coal unit price prediction module is used to obtain historical standard coal unit price data and determine the standard coal unit price prediction curve for the current season based on the historical standard coal unit price data; The coal blending and combustion plan formulation module is used to determine the coal blending and combustion ratio according to the standard coal unit price forecast curve of the current season, and formulate the coal blending and combustion plan of the power plant according to the coal blending and combustion ratio; The procurement plan formulation module is used to obtain the humidity data of the coal yard, determine the optimal inventory ratio based on the humidity data of the coal yard, determine the coal procurement cycle based on the coal blending plan, and formulate a coal procurement plan based on the optimal inventory ratio and coal procurement cycle.

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