A coal quality composition prediction and analysis method

Abstract

The present application relates to the technical field of coal quality analysis, and in particular to a method for predicting and analyzing coal quality components. It includes: establishing a coal quality analysis model; obtaining real-time coal flow parameters on the coal belt entering the furnace, and setting ray parameters according to the real-time coal flow parameters; collecting fluorescence spectra according to the ray parameters, and generating coal quality analysis results according to the fluorescence spectrum and the coal quality analysis model. The coal flow is detected by multi-energy artificial rays, and the coal flow on the coal belt entering the furnace is detected in real time. At the same time, a coal quality analysis model is established according to the ray attenuation law, and the ash content and calorific value are obtained according to the collected fluorescence spectrum. Rapid analysis of coal quality is achieved. According to the real-time coal flow parameters, the ray parameters are adjusted in time, multiple irradiation points are selected, and the data is processed in multiple levels to improve the measurement accuracy. At the same time, by introducing historical data, the stability of the coal flow is detected, and early warning is given in time to ensure that the coal quality of the fuel meets the designed coal quality, thereby improving the blending efficiency of the power plant.

Description

Technical Field

[0001] The present application relates to the technical field of coal quality analysis, and in particular to a method for predicting and analyzing coal quality components. Background Art

[0002] At present, in the industrial analysis of coal quality, the cauterization method is usually used for laboratory offline analysis, that is, after sampling, crushing, shrinking, sample preparation and other pre-processing steps, it is sent to the laboratory for analysis. The analysis results can only be obtained after several hours, and the coal quality information cannot be obtained in time. Therefore, in most coal-fired power plants, the coal quality deviates from the designed coal quality for a long time, resulting in the following problems in the operation of the unit:

[0003] ① As high-quality thermal coal is becoming increasingly scarce, clean utilization of low-quality coal is particularly important;

[0004] ② The power generation efficiency is low and the coal consumption for power supply is significantly high;

[0005] ③ Pollution emissions exceed the standard;

[0006] ④ Excessive pursuit of cheap coal in the market leads to frequent slagging during boiler combustion, which endangers the safe operation of the boiler. Summary of the invention

[0007] The purpose of this application is: to solve the above technical problems, this application provides a coal quality composition prediction and analysis method, aiming to achieve online real-time rapid analysis of coal quality and improve the blending efficiency of power plants.

[0008] In some embodiments of the present application, multi-energy artificial rays are used to detect coal flow, and the coal flow on the coal belt entering the furnace is detected in real time. At the same time, a coal quality analysis model is established according to the ray attenuation law, and the ash content and calorific value are obtained according to the collected fluorescence spectrum, so as to realize rapid analysis of coal quality.

[0009] In some embodiments of the present application, the radiation parameters are adjusted in time according to the real-time coal flow parameters, multiple irradiation points are selected, and the data is processed at multiple levels to improve the measurement accuracy. At the same time, by introducing historical data, the stability of the coal flow is detected, and early warnings are given in time to ensure that the quality of the fuel coal meets the designed coal quality, thereby improving the blending efficiency of the power plant.

[0010] In some embodiments of the present application, a method for predicting and analyzing coal quality components is provided, including:

[0011] Establish coal quality analysis model;

[0012] Acquire real-time coal flow parameters on the coal conveyor belt entering the furnace, and set ray parameters according to the real-time coal flow parameters;

[0013] A fluorescence spectrum is collected according to the ray parameters, and a coal quality analysis result is generated according to the fluorescence spectrum and a coal quality analysis model.

[0014] In some embodiments of the present application, when setting the ray parameters according to the real-time coal flow parameters, it includes:

[0015] Generate a coal flow velocity a and a coal flow width c according to the real-time coal flow parameters;

[0016] Setting the number b of irradiation points according to the coal flow velocity;

[0017] Setting a single ray irradiation point area d according to the coal flow width;

[0018] A detection time node is preset, and a fluorescence spectrum is collected according to the detection time node.

[0019] In some embodiments of the present application, when the coal quality analysis result is generated according to the fluorescence spectrum and the coal quality analysis model, it includes:

[0020] Obtaining fluorescence spectra of all the irradiation points of the radiation;

[0021] According to the coal quality analysis model, the ash data set E (E1, E2...E b );

[0022] Generate the coal flow ash fraction e at the current detection time node, the coal flow ash fraction e expression is:

[0023]

[0024] Generate a real-time ash content variance g according to the average ash content e1 of the coal flow at the current detection time node;

[0025] The variance coefficient m is set according to the real-time grayscale variance g.

[0026] In some embodiments of the present application, when the variance coefficient m is set according to the real-time grayscale variance g, it includes:

[0027] Preset a first gray level variance G1 and a second gray level variance G2;

[0028] Preset variance coefficient matrix M, set M(m1, m2, m3, m4), where m1 is the preset first variance coefficient, m2 is the preset second variance coefficient, m3 is the preset third variance coefficient, m4 is the preset fourth variance coefficient, and m1<m2<1<m3<m4;

[0029] According to the irradiation point ash data set E (E1, E2...E b ), generating a number b1 of irradiation points lower than the average ash content e1 of the coal flow;

[0030] If b1<b / 2;

[0031] When G1<g<G2, the variance coefficient m is set to the preset second variance coefficient m2, that is, m=m2;

[0032] When g>G2, the variance coefficient m is set to the preset first variance coefficient m1, that is, m=m1;

[0033] If b1>b / 2;

[0034] When G1<g<G2, the variance coefficient m is set to the preset third variance coefficient m3, that is, m=m3;

[0035] When g>G2, the variance coefficient m is set to the preset fourth variance coefficient m4, that is, m=m4.

[0036] In some embodiments of the present application, when the coal quality analysis result is generated according to the fluorescence spectrum and the coal quality analysis model, it also includes:

[0037] Generate the calorific value data set F (F1, F2...F b );

[0038] Generate the coal flow calorific value f at the current detection time node. The expression of the coal flow calorific value f is:

[0039]

[0040] In some embodiments of the present application, when the coal quality analysis result is generated according to the fluorescence spectrum and the coal quality analysis model, it also includes:

[0041] Obtain the detection parameters of the historical detection time node, and generate the historical coal flow calorific value f1 and the historical coal flow ash content e2;

[0042] Generate a historical calorific value variance h1 according to the historical coal flow calorific value f1 and the coal flow calorific value f at the current detection time node;

[0043] Generate a historical ash content variance h2 according to the historical coal flow ash content e2 and the coal flow ash content e at the current detection time node;

[0044] Generate a first coal quality stability evaluation value Q1 according to the historical calorific value variance h1;

[0045] Generate a second coal quality stability evaluation value Q2 according to the historical ash content variance h2;

[0046] Generate a coal quality stability evaluation value q, where q=j1*Q1+j2*Q2.

[0047] In some embodiments of the present application, when the number of irradiation points is set according to the coal flow velocity, it includes:

[0048] A preset coal flow rate matrix A is set as A(A1, A2, A3, A4), wherein A1 is a preset first coal flow rate, A2 is a preset second coal flow rate, A3 is a preset third coal flow rate, A4 is a preset fourth coal flow rate, and A1<A2<A3<A4;

[0049] A preset ray irradiation point number matrix B is set to B(B1, B2, B3, B4), where B1 is the preset first ray irradiation point number, B2 is the preset second ray irradiation point number, B3 is the preset third ray irradiation point number, B4 is the preset fourth ray irradiation point number, and B1<B2<B3<B4;

[0050] Get the real-time coal flow velocity a;

[0051] If A1<a<A2, the real-time ray irradiation point number b is set to the preset first irradiation point number B1, that is, b=B1;

[0052] If A2<a<A3, the real-time ray irradiation point number b is set to the preset second irradiation point number B2, that is, b=B2;

[0053] If A3<a<A4, the real-time ray irradiation point number b is set to the preset third irradiation point number B3, that is, b=B3;

[0054] If a>A4, the real-time ray irradiation point number b is set to the preset fourth irradiation point number B1, that is, b=B4.

[0055] In some embodiments of the present application, when the area of ​​a single ray irradiation point is set according to the coal flow width, it includes:

[0056] A preset coal flow width matrix C is set as C(C1, C2, C3, C4), wherein C1 is a preset first coal flow width, C2 is a preset second coal flow width, C3 is a preset third coal flow width, C4 is a preset fourth coal flow width, and C1<C2<C3<C4;

[0057] Preset the irradiation point area matrix D, set D(D1, D2, D3, D4), where D1 is the preset first irradiation point area, D2 is the preset second irradiation point area, D3 is the preset third irradiation point area, D4 is the preset fourth irradiation point area, and D1<D2<D3<D4;

[0058] Get the real-time coal flow width c;

[0059] If C1<c<C2, the single ray irradiation point area d is set to the preset first irradiation point area D1, that is, d=D1;

[0060] If C2<c<C3, the single ray irradiation point area d is set to the preset second irradiation point area D2, that is, d=D2;

[0061] If C3<c<C4, the single ray irradiation point area d is set to the preset third irradiation point area D3, that is, d=D3;

[0062] If c>C4, the single ray irradiation point area d is set to the preset fourth irradiation point area D4, that is, d=D4.

[0063] In some embodiments of the present application, when setting the ray parameters according to the real-time coal flow parameters, it also includes:

[0064] Setting the irradiation point area correction coefficient n according to the real-time coal flow velocity v;

[0065] The single ray irradiation point area d is corrected according to the irradiation point area correction coefficient n.

[0066] In some embodiments of the present application, when setting the irradiation point area correction coefficient n, it includes:

[0067] The preset irradiation point area correction coefficient matrix N is set to (n1, n2, n3), wherein n1 is the preset first irradiation point area correction coefficient, n2 is the preset second irradiation point area correction coefficient, n3 is the preset third irradiation point area correction coefficient, and 1<n1<n2<n3;

[0068] If A2<a<A3, set n=n1, and the corrected single ray irradiation point area d=n1*Di;

[0069] If A3<a<A4, set n=n2, and the area of ​​the single ray irradiation point after correction is d=n2*Di;

[0070] If a>A4, set n=n3, and the corrected single ray irradiation point area d=n3*Di.

[0071] Compared with the prior art, the coal quality composition prediction and analysis method of the present application embodiment has the following beneficial effects:

[0072] The coal flow is detected by multi-energy artificial rays, and the coal flow on the coal belt entering the furnace is detected in real time. At the same time, a coal quality analysis model is established according to the ray attenuation law, and the ash content and calorific value are obtained according to the collected fluorescence spectrum, so as to realize rapid analysis of coal quality.

[0073] Adjust the radiation parameters in time according to the real-time coal flow parameters, select multiple irradiation points, and perform multi-level processing on the data to improve the measurement accuracy. At the same time, by introducing historical data, the stability of the coal flow is detected and early warning is given in time to ensure that the quality of the coal meets the designed coal quality, thereby improving the blending efficiency of the power plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1It is a flow chart of a method for predicting and analyzing coal quality components in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0075] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0076] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0077] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0078] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0079] like Figure 1 As shown, a coal quality composition prediction and analysis method of a preferred embodiment of the present application includes:

[0080] S101: Establish coal quality analysis model;

[0081] S102: obtaining real-time coal flow parameters on the coal conveyor belt entering the furnace, and setting ray parameters according to the real-time coal flow parameters;

[0082] S103: Collecting fluorescence spectra according to the ray parameters, and generating coal quality analysis results according to the fluorescence spectra and the coal quality analysis model.

[0083] Specifically, when setting the ray parameters according to the real-time coal flow parameters, it includes:

[0084] Generate coal flow velocity a and coal flow width c according to real-time coal flow parameters;

[0085] The number of irradiation points b is set according to the coal flow velocity;

[0086] The area d of a single ray irradiation point is set according to the width of the coal flow;

[0087] Preset the detection time node and collect the fluorescence spectrum according to the detection time node.

[0088] Specifically, multiple groups of historical test data are collected, and the original model is generated according to the correspondence between the fluorescence spectrum and the coal quality. The historical test data are divided into a training set and a test set. The original model is trained using the training set data, and the original model is tested based on the test set data, thereby establishing a coal quality analysis model.

[0089] Specifically, the technical principle of the X-ray absorption method is used: artificial rays are generated by bombarding a metal target with electrons accelerated by an electric field. The rays in different energy ranges of the artificial rays have different cross-sections of action with the elements in the coal. Rays with lower energy are sensitive to changes in elements such as Si, Al, Ca, and Fe. Rays with medium energy are more sensitive to changes in elements such as Ca and Fe. Rays with higher energy are sensitive to changes in density but insensitive to changes in element content. The detector is used to measure the energy spectrum of the rays after being attenuated by coal, and the changes in the intensity of the rays in three energy ranges can be analyzed. The law of ray attenuation is used to establish a coal quality analysis model to obtain the content ratios of C to Si, Al, Ca, Fe, and S, as well as the ash content and calorific value.

[0090] It can be understood that in the above embodiment, multi-energy artificial rays are used to detect the coal flow, and the coal flow on the coal belt entering the furnace is detected in real time. At the same time, a coal quality analysis model is established according to the ray attenuation law, and the ash content and calorific value are obtained according to the collected fluorescence spectrum, so as to realize rapid analysis of coal quality.

[0091] In a preferred embodiment of the present application, when generating coal quality analysis results according to the fluorescence spectrum and the coal quality analysis model, it includes:

[0092] Obtain the fluorescence spectra of all irradiation points;

[0093] According to the coal quality analysis model, the ash data set E (E1, E2…E b );

[0094] Generate the coal flow ash fraction e at the current detection time node. The coal flow ash fraction e is expressed as:

[0095]

[0096] Generate the real-time ash content variance g according to the average ash content e1 of the coal flow at the current detection time node;

[0097] The variance coefficient m is set according to the real-time grayscale variance g.

[0098] Specifically, by collecting fluorescence spectra at multiple irradiation points for analysis, multiple ash content data can be obtained to eliminate the impact of local unevenness in the coal flow on the detection results, thereby improving the detection accuracy of coal quality.

[0099] Specifically, when the variance coefficient m is set according to the real-time grayscale variance g, it includes:

[0100] Preset a first gray level variance G1 and a second gray level variance G2;

[0101] Preset variance coefficient matrix M, set M(m1, m2, m3, m4), where m1 is the preset first variance coefficient, m2 is the preset second variance coefficient, m3 is the preset third variance coefficient, m4 is the preset fourth variance coefficient, and m1<m2<1<m3<m4;

[0102] According to the ash data set E(E1, E2…E b ), generating the number of irradiation points b1 below the average ash content e1 of the coal flow;

[0103] If b1<b / 2;

[0104] When G1<g<G2, the variance coefficient m is set to the preset second variance coefficient m2, that is, m=m2;

[0105] When g>G2, the variance coefficient m is set to the preset first variance coefficient m1, that is, m=m1;

[0106] If b1>b / 2;

[0107] When G1<g<G2, the variance coefficient m is set to the preset third variance coefficient m3, that is, m=m3;

[0108] When g>G2, the variance coefficient m is set to the preset fourth variance coefficient m4, that is, m=m4.

[0109] Specifically, the variance coefficient matrix can be set based on historical operating data.

[0110] Specifically, it also includes:

[0111] Generate the calorific value data set F (F1, F2…F) of the irradiation point at the current time node according to the coal quality analysis model b );

[0112] Generate the coal flow calorific value f at the current detection time node. The expression of the coal flow calorific value f is:

[0113]

[0114] Specifically, the calorific value of coal flow refers to the calorific value of coal in a single irradiated area. By collecting data from multiple irradiation points, the impact of local unevenness in the coal flow on the test results is eliminated, ensuring the accuracy of the coal quality test results.

[0115] It can be understood that in the above embodiment, by collecting multiple ash content data and introducing variance coefficients to process the data, real-time coal flow ash content is obtained, and a variance coefficient matrix is ​​established to dynamically adjust the variance coefficients, thereby further eliminating the impact of local unevenness in the coal flow on the detection results and ensuring the accuracy of the coal quality detection results.

[0116] In a preferred embodiment of the present application, when the coal quality analysis result is generated according to the fluorescence spectrum and the coal quality analysis model, it also includes:

[0117] Obtain the detection parameters of the historical detection time node, and generate the historical coal flow calorific value f1 and the historical coal flow ash content e2;

[0118] Generate the historical calorific value variance h1 according to the historical coal flow calorific value f1 and the coal flow calorific value f at the current detection time node;

[0119] Generate historical ash content variance h2 based on historical coal flow ash content e2 and coal flow ash content e at the current detection time node;

[0120] Generate the first coal quality stability evaluation value Q1 according to the historical calorific value variance h1;

[0121] Generate the second coal quality stability evaluation value Q2 according to the historical ash content variance h2;

[0122] Generate a coal quality stability evaluation value q, where q=j1*Q1+j2*Q2.

[0123] Specifically, the historical calorific value of coal flow refers to the historical calorific value of the irradiation point area at the current detection time node.

[0124] Specifically, j1 is the first weight coefficient, j2 is the second weight coefficient, the first weight coefficient and the second weight coefficient can be set according to historical operation data, and j1+j2=1.

[0125] It can be understood that in the above embodiment, the radiation parameters are adjusted in time according to the real-time coal flow parameters, multiple irradiation points are selected, and the data is processed at multiple levels to improve the measurement accuracy. At the same time, by introducing historical data, the stability of the coal flow is detected, and early warning is given in time to ensure that the quality of the fuel coal meets the designed coal quality, thereby improving the blending efficiency of the power plant.

[0126] In a preferred embodiment of the present application, when the number of irradiation points is set according to the coal flow velocity, it includes:

[0127] A preset coal flow rate matrix A is set as A(A1, A2, A3, A4), wherein A1 is a preset first coal flow rate, A2 is a preset second coal flow rate, A3 is a preset third coal flow rate, A4 is a preset fourth coal flow rate, and A1<A2<A3<A4;

[0128] A preset ray irradiation point number matrix B is set to B(B1, B2, B3, B4), where B1 is the preset first ray irradiation point number, B2 is the preset second ray irradiation point number, B3 is the preset third ray irradiation point number, B4 is the preset fourth ray irradiation point number, and B1<B2<B3<B4;

[0129] Get the real-time coal flow velocity a;

[0130] If A1<a<A2, the real-time ray irradiation point number b is set to the preset first irradiation point number B1, that is, b=B1;

[0131] If A2<a<A3, the real-time ray irradiation point number b is set to the preset second irradiation point number B2, that is, b=B2;

[0132] If A3<a<A4, the real-time ray irradiation point number b is set to the preset third irradiation point number B3, that is, b=B3;

[0133] If a>A4, the real-time ray irradiation point number b is set to the preset fourth irradiation point number B1, that is, b=B4.

[0134] Specifically, when setting the area of ​​a single ray irradiation point according to the width of the coal flow, it includes:

[0135] A preset coal flow width matrix C is set as C(C1, C2, C3, C4), wherein C1 is a preset first coal flow width, C2 is a preset second coal flow width, C3 is a preset third coal flow width, C4 is a preset fourth coal flow width, and C1<C2<C3<C4;

[0136] Preset the irradiation point area matrix D, set D(D1, D2, D3, D4), where D1 is the preset first irradiation point area, D2 is the preset second irradiation point area, D3 is the preset third irradiation point area, D4 is the preset fourth irradiation point area, and D1<D2<D3<D4;

[0137] Get the real-time coal flow width c;

[0138] If C1<c<C2, the single ray irradiation point area d is set to the preset first irradiation point area D1, that is, d=D1;

[0139] If C2<c<C3, the single ray irradiation point area d is set to the preset second irradiation point area D2, that is, d=D2;

[0140] If C3<c<C4, the single ray irradiation point area d is set to the preset third irradiation point area D3, that is, d=D3;

[0141] If c>C4, the single ray irradiation point area d is set to the preset fourth irradiation point area D4, that is, d=D4.

[0142] It can be understood that in the above embodiments, a coal flow velocity matrix, a ray irradiation point quantity matrix, a coal flow width matrix and an irradiation point area matrix are established based on historical data, and the irradiation parameters of the rays are dynamically adjusted according to the real-time coal flow parameters to improve the detection efficiency and ensure the accuracy of the detection sampling, thereby improving the analysis accuracy of the detection results.

[0143] In a preferred embodiment of the present application, when setting the ray parameters according to the real-time coal flow parameters, it also includes:

[0144] Set the irradiation point area correction coefficient n according to the real-time coal flow velocity v;

[0145] Correct the single ray irradiation point area d according to the irradiation point area correction coefficient n.

[0146] The preset irradiation point area correction coefficient matrix N is set to (n1, n2, n3), wherein n1 is the preset first irradiation point area correction coefficient, n2 is the preset second irradiation point area correction coefficient, n3 is the preset third irradiation point area correction coefficient, and 1<n1<n2<n3;

[0147] If A2<a<A3, set n=n1, and the corrected single ray irradiation point area d=n1*Di;

[0148] If A3<a<A4, set n=n2, and the area of ​​the single ray irradiation point after correction is d=n2*Di;

[0149] If a>A4, set n=n3, and the corrected single ray irradiation point area d=n3*Di.

[0150] It is understandable that in the above embodiment, the sampling area is dynamically corrected according to the real-time flow rate of the coal flow by setting the irradiation point area correction coefficient, so as to ensure the sampling ratio and avoid affecting the detection accuracy due to the small amount of coal being detected due to the real-time flow rate of the coal flow being too fast.

[0151] According to the first concept of the present application, multi-energy artificial rays are used to detect the coal flow, and the coal flow on the coal belt entering the furnace is detected in real time. At the same time, a coal quality analysis model is established according to the ray attenuation law, and the ash content and calorific value are obtained according to the collected fluorescence spectrum, so as to realize rapid analysis of coal quality.

[0152] According to the second concept of the present application, the radiation parameters are adjusted in time according to the real-time coal flow parameters, multiple irradiation points are selected, and the data is processed at multiple levels to improve the measurement accuracy. At the same time, by introducing historical data, the stability of the coal flow is detected, and early warnings are given in time to ensure that the quality of the fuel coal meets the designed coal quality, thereby improving the blending efficiency of the power plant.

[0153] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A method for predicting and analyzing coal quality components, characterized in that: Including: Establishing a coal quality analysis model; Obtaining real-time coal flow parameters on the coal conveyor belt for the furnace, and setting ray parameters according to the real-time coal flow parameters; Collecting fluorescence spectra according to the ray parameters, and generating a coal quality analysis result based on the fluorescence spectra and the coal quality analysis model; When setting ray parameters according to the real-time coal flow parameters, it includes: Generating a coal flow velocity a and a coal flow width c according to the real-time coal flow parameters; Setting the number of ray irradiation points b according to the coal flow velocity; Setting the area d of a single ray irradiation point according to the coal flow width; Presetting a detection time node, and collecting fluorescence spectra according to the detection time node; When generating a coal quality analysis result based on the fluorescence spectra and the coal quality analysis model, it includes: Obtaining the fluorescence spectra of all the ray irradiation points; According to the coal quality analysis model, the ash data set E (E1, E2…E b ); Generating a coal flow ash content e at the current detection time node, and the expression of the coal flow ash content e is: e= ； Generating a real-time ash content variance g based on the average coal flow ash content e1 at the current detection time node; Setting a variance coefficient m according to the real-time ash content variance g; When generating a coal quality analysis result based on the fluorescence spectra and the coal quality analysis model, it also includes: Generate the calorific value data set F (F1, F2…F b ); Generating a coal flow calorific value f at the current detection time node, and the expression of the coal flow calorific value f is: f=1 / b F i ; Obtaining detection parameters at historical detection time nodes, and generating a historical coal flow calorific value f1 and a historical coal flow ash content e2; Generating a historical calorific value variance h1 based on the historical coal flow calorific value f1 and the coal flow calorific value f at the current detection time node; Generating a historical ash content variance h2 based on the historical coal flow ash content e2 and the coal flow ash content e at the current detection time node; Generating a first coal quality stability evaluation value Q1 based on the historical calorific value variance h1; Generating a second coal quality stability evaluation value Q2 based on the historical ash content variance h2; Generating a coal quality stability evaluation value q, where q = j1*Q1 + j2*Q2.

2. The coal quality component prediction and analysis method according to claim 1, wherein When setting the variance coefficient m according to the real-time ash content variance g, it includes: Presetting a first ash content variance G1 and a second ash content variance G2; Presetting a variance coefficient matrix M, and setting M(m1, m2, m3, m4), where m1 is a preset first variance coefficient, m2 is a preset second variance coefficient, m3 is a preset third variance coefficient, m4 is a preset fourth variance coefficient, and m1 < m2 < 1 < m3 < m4; According to the irradiation point ash data set E(E1, E2...E b ), generating a number b1 of irradiation points lower than the average ash content of the coal flow e1; If b1 < b / 2; When G1 < g < G2, setting the variance coefficient m as the preset second variance coefficient m2, that is, m = m2; When g > G2, setting the variance coefficient m as the preset first variance coefficient m1, that is, m = m1; If b1 > b / 2; When G1 < g < G2, setting the variance coefficient m as the preset third variance coefficient m3, that is, m = m3; When g > G2, setting the variance coefficient m as the preset fourth variance coefficient m4, that is, m = m4.

3. The method for predicting and analyzing coal quality composition according to claim 1, characterized in that: When setting the number of ray irradiation points according to the coal flow velocity, it includes: Preset coal flow velocity matrix A, set A(A1, A2, A3, A4), where A1 is the preset first coal flow velocity, A2 is the preset second coal flow velocity, A3 is the preset third coal flow velocity, A4 is the preset fourth coal flow velocity, and A1 < A2 < A3 < A4; Preset ray irradiation point quantity matrix B, set B(B1, B2, B3, B4), where B1 is the preset first ray irradiation point quantity, B2 is the preset second ray irradiation point quantity, B3 is the preset third ray irradiation point quantity, B4 is the preset fourth ray irradiation point quantity, and B1 < B2 < B3 < B4; Obtain the real-time coal flow velocity a; If A1 < a < A2, set the real-time ray irradiation point quantity b as the preset first irradiation point quantity B1, that is, b = B1; If A2 < a < A3, set the real-time ray irradiation point quantity b as the preset second irradiation point quantity B2, that is, b = B2; If A3 < a < A4, set the real-time ray irradiation point quantity b as the preset third irradiation point quantity B3, that is, b = B3; If a > A4, set the real-time ray irradiation point quantity b as the preset fourth irradiation point quantity B4, that is, b = B4.

4. The method for predicting and analyzing coal quality composition according to claim 2, characterized in that: When setting the area of a single ray irradiation point according to the coal flow width, it includes: Preset coal flow width matrix C, set C(C1, C2, C3, C4), where C1 is the preset first coal flow width, C2 is the preset second coal flow width, C3 is the preset third coal flow width, C4 is the preset fourth coal flow width, and C1 < C2 < C3 < C4; Preset irradiation point area matrix D, set D(D1, D2, D3, D4), where D1 is the preset first irradiation point area, D2 is the preset second irradiation point area, D3 is the preset third irradiation point area, D4 is the preset fourth irradiation point area, and D1 < D2 < D3 < D4; Obtain the real-time coal flow width c; If C1 < c < C2, set the area d of a single ray irradiation point as the preset first irradiation point area D1, that is, d = D1; If C2 < c < C3, set the area d of a single ray irradiation point as the preset second irradiation point area D2, that is, d = D2; If C3 < c < C4, set the area d of a single ray irradiation point as the preset third irradiation point area D3, that is, d = D3; If c > C4, set the area d of a single ray irradiation point as the preset fourth irradiation point area D4, that is, d = D4.

5. The method for predicting and analyzing coal quality composition according to claim 3, characterized in that: When setting ray parameters according to the real-time coal flow parameters, it also includes: Set the irradiation point area correction coefficient n according to the real-time coal flow velocity v; Correct the area d of a single ray irradiation point according to the irradiation point area correction coefficient n.

6. The method for predicting and analyzing coal quality composition according to claim 4, characterized in that: When setting the irradiation point area correction coefficient n, it includes: Preset irradiation point area correction coefficient matrix N, set (n1, n2, n3), where n1 is the preset first irradiation point area correction coefficient, n2 is the preset second irradiation point area correction coefficient, n3 is the preset third irradiation point area correction coefficient, and 1 < n1 < n2 < n3; If A2 < a < A3, set n = n1, and the corrected area d of a single ray irradiation point is d = n1 * Di; If A3 < a < A4, set n = n2, and the corrected area d of a single ray irradiation point is d = n2 * Di; If a>A4, set n=n3, and the corrected single ray irradiation point area d=n3*Di.

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