Method and system for determining volatile matter of thermal coal

Abstract

Disclosed in the present application are a method and system for determining volatile matter of thermal coal. The method comprises: acquiring basic coal quality inspection data of coal to be inspected, wherein the basic coal quality inspection data comprises: total moisture, received base ash, dry ash-free base carbon and dry ash-free base hydrogen; on the basis of the dry ash-free base carbon and the dry ash-free base hydrogen, determining the range of dry ash-free base volatile matter; and on the basis of the determined range of the dry ash-free base volatile matter and in conjunction with the basic coal quality inspection data of said coal, performing calculation to obtain the dry ash-free base volatile matter of said coal. The system comprises a data acquisition module, a data analysis module and a calculation module, which are sequentially connected. The present application requires fewer coal quality parameters, thereby facilitating a reduction in the device procurement costs of a power plant. The present application is simple, convenient and rapid; and a research result is obtained by means of performing statistical analysis on a large amount of laboratory test data, thereby achieving relatively high calculation accuracy. The present application can be applied to an online coal quality inspection system or the verification of volatile matter for an online coal quality inspection result, thereby having relatively high engineering application value.

Description

Method and system for determining volatile matter of power coal

[0001] Cross-reference to Related Applications

[0002] This application claims priority to the Chinese patent application No. 202410754740.8, filed on June 12, 2024, and entitled “Method and system for determining volatile matter of power coal”, the entire content of which is incorporated herein by reference. TECHNICAL FIELD

[0003] The present application belongs to the technical field of coal quality of power coal, and specifically relates to a method and system for determining volatile matter of power coal. BACKGROUND

[0004] Power coal, also known as steam coal, is a type of coal used for generating power and heat. It mainly includes non-caking coal, long-flame coal, lignite, anthracite, lean coal, weakly caking coal, natural coke, and some unclassified coal types. In terms of commercial coal, it mainly includes washed mixed coal, washed medium coal, pulverized coal, and fine coal. The quality requirements of power coal are relatively low compared to other types of coal, but in order to ensure economic benefits and environmental protection requirements, it still needs to meet certain standards.

[0005] Power coal is mainly used in the following fields:

[0006] Power generation: thermal power plants are the main users of power coal, accounting for more than 70% of the total consumption of power coal.

[0007] Locomotive propulsion: coal is one of the main energy sources for locomotive propulsion, especially for coal transportation locomotives.

[0008] Ship power: some ships use coal as a power source, especially inland and offshore ships.

[0009] Industrial boiler combustion: many industrial processes require the use of boilers to generate steam or hot water, and power coal is the main fuel for these boilers.

[0010] In order to real-time grasp the coal quality of the coal entering the furnace, various online coal quality detection technologies and equipment have emerged, such as online moisture analyzers, online ash analyzers, online sulfur analyzers, and online elemental analyzers. The calorific value and volatile matter are mostly obtained through model calculation based on these measurement results.

[0011] The online moisture analyzer is an instrument that can monitor the moisture content of materials in real time. The working principle of the online moisture analyzer is based on various scientific and technological means, among which the most common is infrared spectroscopy. The principle of infrared light absorption shows that the molecular structure inside the material (such as the oxygen-hydrogen bond in water) will absorb near-infrared light of a specific wavelength. The online moisture analyzer uses this principle to analyze the change of near-infrared energy of a certain wavelength, thereby determining the moisture content in the material. Specifically, when water molecules encounter a specific energy band, vibrations occur, which involve the stretching and twisting of the bond between the two hydrogen atoms and the oxygen atom in the water molecule. In order to cause these vibrations, external energy needs to cover a specific band in the entire electromagnetic spectrum. In the near-infrared spectral range, the absorption of water molecules to a specific band is particularly strong, and the instrument is easier to implement in terms of emitting, filtering and receiving these energies. Therefore, by measuring the degree of absorption of infrared light of a specific wavelength by the material, its moisture content can be determined.

[0012] The online ash analyzer is a device designed based on modern analysis technology and sensor technology, which can measure the ash content in solid fuels such as coal in real time and continuously. The online ash analyzer uses a variety of different working principles, but generally measures the ash content based on the physical or chemical properties of the material.

[0013] The online sulfur analyzer is mainly used for real-time monitoring and control of the sulfur content in various materials such as coal, oil, natural gas, etc. It realizes rapid and accurate measurement of the sulfur content in the material by using advanced detection technologies such as X-ray fluorescence, infrared spectroscopy, ultraviolet spectroscopy, etc.

[0014] The online elemental analyzer mainly uses physical or chemical methods such as neutron activation, radiation measurement, spectral analysis, etc. to measure the elemental content of the sample in real time. The online elemental analyzer can be used to study the elemental composition and content of energy materials such as fuel, coal, oil, etc. to help optimize energy utilization and reduce environmental pollution.

[0015] Although the more indicators measured, the more accurate the calculation results of the model. However, due to the high cost of each online coal quality analyzer, it increases the economic burden of the power plant. If the online coal quality measurement indicators are reduced, it may also lead to low precision of some key indicators such as volatile matter. SUMMARY

[0016] The purpose of the present application is to overcome the problem of low precision of existing online coal quality detection, and to provide a method and system for determining the volatile matter of power coal, which is suitable for anthracite, lean coal, bituminous coal and lignite.

[0017] To achieve the above purpose, the following technical solutions are adopted in the present application:

[0018] A method for determining the volatile matter of power coal, comprising:

[0019] Obtaining basic coal quality detection data of the coal to be detected, including: total moisture, received base ash, dry ash-free base carbon, and dry ash-free base hydrogen;

[0020] According to the dry ash-free base carbon and the dry ash-free base hydrogen, the range of the dry ash-free base volatile matter is determined;

[0021] According to the determined range of the dry ash-free base volatile matter, combined with the basic coal quality detection data of the coal to be detected, the dry ash-free base volatile matter of the coal to be detected is calculated.

[0022] The further improvement of the present application is that, according to the determined range of the dry ash-free base, combined with the basic coal quality detection data of the coal to be detected, the dry ash-free base volatile matter of the coal to be detected is calculated, including:

[0023] When 3%≤V daf <12%, V daf j=0.12×M t -0.02×A ar -0.63×C daf +1.12×H daf +62.18;

[0024] When 12%≤V daf <22%, V daf j=-0.90×M t -0.45×A ar -1.08×C daf -8.10×H daf +160.79;

[0025] When 22%≤V daf <28%, V daf j=-0.02×M t -0.08×A ar -0.33×C daf -0.07×H daf +56.46;

[0026] When 28%≤V daf <40%, V daf j=0.11×M t -0.10×A ar -1.34×C daf +4.09×H daf +121.39;

[0027] When 40%≤V daf <50%, V daf j=-0.11×M t -0.16×Aar -1.34 x C daf +6.48 x H daf +116.84;

[0028] when 60% < V daf < 70%, 50% < V daf < 60% and 40% < V daf < 60%, V daf j = 0.21 x M t - 0.01 x A ar - 0.64 x C daf + 4.12 x H daf + 68.91;

[0029] wherein V daf is the range of dry ash-free volatile matter, V daf j is the quantitative value of dry ash-free volatile matter, M t is total moisture, A ar is received ash, C daf is dry ash-free carbon, H daf is dry ash-free hydrogen, all in %.

[0030] It is a further improvement of the present application when 3% < V daf < 12%, C daf > 89% and H daf < 4%.

[0031] It is a further improvement of the present application when 12% < V daf < 22%, C daf > 86%, H daf < 4.4% and A ar < 35%.

[0032] It is a further improvement of the present application when 22% < V daf < 28%, C daf > 85% and H daf > 4.2%, or C daf > 80% and H daf < 4.6%.

[0033] It is a further improvement of the present application when 28% < V daf < 40%, 80 < C daf < 82% and H daf < 5%, or C daf < 80%, or the carbon to hydrogen ratio C / H < 18%, wherein C / H = C daf / H daf .

[0034] The further improvement of the present application is that when 40%≤V daf <50%, C daf ≤77%, or H daf ≥5%.

[0035] The further improvement of the present application is that when 60%≤V daf <70%, C daf <70% and H daf ≥5.5%;

[0036] When 50%≤V daf <60%, H daf ≥5.8%;

[0037] When 40%≤V daf <60%, C daf ≤72%.

[0038] The present application also provides a system for determining volatile matter of power coal, comprising:

[0039] A data acquisition module is configured to acquire basic coal quality detection data of the coal to be detected, including total moisture, received basis ash, dry ash-free basis carbon, and dry ash-free basis hydrogen.

[0040] A data analysis module is configured to determine a range of dry ash-free basis volatile matter according to the dry ash-free basis carbon and the dry ash-free basis hydrogen.

[0041] A calculation module is configured to calculate the dry ash-free basis volatile matter of the coal to be detected according to the determined range of dry ash-free basis volatile matter and the basic coal quality detection data of the coal to be detected.

[0042] The present application finally provides a computer readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the steps of the method for determining volatile matter of power coal.

[0043] Compared with the prior art, the present application has at least the following beneficial technical effects:

[0044] The method and system for determining volatile matter of power coal provided by the present application first obtain the volatile matter of power coal according to industrial analysis and element analysis of coal, secondly determine the range of dry ash-free basis according to dry ash-free basis carbon and dry ash-free basis hydrogen, and finally calculate the dry ash-free basis volatile matter of the coal to be detected in combination with the basic coal quality detection data of the coal to be detected. The method is simple and fast. Compared with the prior art, the present application has high calculation accuracy. The present application has counted 110 data, and the coal quality covers anthracite, lean coal, bituminous coal and lignite. The average absolute deviation of V daf determined by the present application and the measured value is 1.57%, and the average absolute deviation of dry ash-free basis Vdaf The maximum absolute deviation of the coal sample is 4.67%, and the minimum absolute deviation is 0.04%. Therefore, the application has high engineering application value. The application can be used for coal quality online detection system, and can be used for checking the volatile matter of the coal quality online detection result. In addition, the application can also be used for guiding the daily operation of the power plant, coal blending of the smart power plant, etc., can guide the operation personnel to timely implement operation parameter optimization, and greatly improve the safety and economy of the boiler operation. BRIEF DESCRIPTION OF DRAWINGS

[0045] Fig. 1 is a flow chart of a method for determining volatile matter of power coal according to the application.

[0046] Fig. 2 is a structural block diagram of a system for determining volatile matter of power coal according to the application. DETAILED DESCRIPTION

[0047] The exemplary embodiments of the application will be described in more detail below. Although the exemplary embodiments of the application are given, it should be understood that the application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided so that the application can be more thoroughly understood and the scope of the application can be accurately conveyed to those skilled in the art. It should be noted that the embodiments in the application and the features in the embodiments can be combined with each other without conflict.

[0048] It should be understood that the terms used in the specification of the application are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in the specification and the appended claims of the application, the singular forms "a", "an" and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0049] It should be further understood that the term "and / or" used in the specification and the appended claims of the application means any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0050] In the drawings, various structural schematic diagrams according to the embodiments disclosed in the application are shown. These drawings are not drawn to scale, in which certain details are exaggerated for the purpose of clear expression, and certain details can be omitted. The shapes of various regions, layers and their relative size and positional relationship shown in the drawings are only exemplary, and in actuality, there can be deviations due to manufacturing tolerances or technical limitations, and a person skilled in the art can additionally design regions / layers with different shapes, sizes and relative positions according to actual needs.

[0051] The embodiments of the application will be described in detail below with reference to the accompanying drawings.

[0052] Embodiment 1

[0053] As shown in FIG. 1, the method for determining volatile matter of power coal provided in the embodiment is suitable for anthracite, lean coal, bituminous coal and lignite, and comprises the following steps.

[0054] Obtaining basic coal quality detection data of the coal to be detected, including: total moisture, received basis ash, dry ash-free basis carbon and dry ash-free basis hydrogen;

[0055] Determining a range of dry ash-free basis according to the dry ash-free basis carbon and the dry ash-free basis hydrogen;

[0056] According to the determined range of dry ash-free basis, the dry ash-free basis volatile matter of the coal to be detected is calculated by combining the basic coal quality detection data of the coal to be detected.

[0057] In the embodiment, when 3%≤V daf <12%, V daf j=0.12×M t -0.02×A ar -0.63×C daf +1.12×H daf +62.18;

[0058] When 12%≤V daf <22%, V daf j=-0.90×M t -0.45×A ar -1.08×C daf -8.10×H daf +160.79;

[0059] When 22%≤V daf <28%, V daf j=-0.02×M t -0.08×A ar -0.33×C daf -0.07×H daf +56.46;

[0060] When 28%≤V daf <40%, V daf j=0.11×M t -0.10×A ar -1.34×C daf +4.09×H daf +121.39;

[0061] When 40%≤V daf <50%, V daf j=-0.11×M t -0.16×A ar-1.34 x C daf +6.48 x H daf +116.84;

[0062] When 60% < V daf < 70%, 50% < V daf < 60% and 40% < V daf < 60%, V daf j = 0.21 x M t - 0.01 x A ar - 0.64 x C daf + 4.12 x H daf + 68.91;

[0063] wherein V daf is the range of dry ash-free volatile matter, V daf j is the quantitative value of dry ash-free volatile matter, M t is the total moisture, A ar is the received ash content, C daf is the dry ash-free carbon, H daf is the dry ash-free hydrogen, all in %.

[0064] In this embodiment, when 3% < V daf < 12%, C daf > 89% and H daf < 4%.

[0065] When 12% < V daf < 22%, C daf > 86%, H daf < 4.4% and A ar < 35%.

[0066] When 22% < V daf < 28%, C daf > 85% and H daf > 4.2%, or C daf > 80% and H daf < 4.6%.

[0067] When 28% < V daf < 40%, 80 < C daf < 82% and H daf < 5%, or C daf < 80%, or the carbon to hydrogen ratio C / H < 18%, wherein C / H = C daf / H daf .

[0068] When 40% < V daf < 50%, C daf < 77%, or H daf≥ 5%.

[0069] When 60%≤V daf < 70%, C daf < 70% and H daf ≥ 5.5%; when 50%≤V daf < 60%, H daf ≥ 5.8%; when 40%≤V daf < 60%, C daf ≤ 72%.

[0070] Example 2 - Calculation of dry ash-free volatile matter of sample 1

[0071] The present embodiment provides a method for determining the volatile matter of power coal, which is suitable for anthracite, lean coal, bituminous coal and lignite, and comprises the following steps:

[0072] Step 1: Obtain the basic coal quality test data of the coal, specifically including: total moisture M t , unit: %, received basis ash A ar , unit: %, dry ash-free carbon C daf , unit: %, dry ash-free hydrogen H daf , unit: %;

[0073] The coal quality test results of sample 1 are as follows: M t = 5.8%, A ar = 19.61%, C daf = 95.54%, H daf = 1.25%.

[0074] Step 2: Calculate the C / H ratio, specifically as shown in equation (1);

[0075] C / H = C daf / H daf (Equation 1)

[0076] The C / H of sample 1 = C daf / H daf = 95.54 / 1.25 = 76.62.

[0077] Step 3: According to the coal quality indexes of step 1, the range of dry ash-free V daf , unit: %, is preliminarily determined, and the specific implementation method is as follows:

[0078] (1) In step 3, first determine whether V daf belongs to the range of 3%≤V daf < 12%. The coal quality indexes require C daf ≥ 89% and H daf < 4%, otherwise it is displayed as "other coal type".

[0079] Sample 1 meets C daf = 95.54% ≥ 89% and H daf = 1.25% < 4%, which is in the range of 3% ≤ V daf < 12%

[0080] (2) In the third step, determine whether V daf is in the range of 60% ≤ V daf < 70% among other coal types. The coal quality index requirement is C daf < 70% and H daf ≥ 5.5%, otherwise it is shown as "other coal types".

[0081] (3) In the third step, determine whether V daf is in the range of 50% ≤ V daf < 60% among other coal types. The coal quality index requirement is H daf ≥ 5.8%, otherwise it is shown as "other coal types".

[0082] (4) In the third step, determine whether V daf is in the range of 40% ≤ V daf < 60% among other coal types. The coal quality index requirement is C daf ≤ 72%, otherwise it is shown as "other coal types".

[0083] (5) In the third step, determine whether V daf is in the range of 12% ≤ V daf < 22% among other coal types. The coal quality index requirement is C daf ≥ 86%, H daf ≤ 4.4% and Aar < 35%, otherwise it is shown as "other coal types".

[0084] (6) In the third step, determine whether V daf is in the range of 22% ≤ V daf < 28% among other coal types. The coal quality index requirement is C daf ≥ 85% and H daf ≥ 4.2%, otherwise it is shown as "other coal types".

[0085] (7) In the third step, determine whether V daf is in the range of 28% ≤ V daf < 40% among other coal types. The coal quality index requirement is 80 ≤ C daf ≤ 82% and H daf < 5%, otherwise it is shown as "other coal types".

[0086] (8) In the third step, determine whether V daf is in the range of 22% ≤ Vdaf <28% range. The coal quality index requirement is C daf ≥80% and H daf ≤4.6%, otherwise, it is shown as "other coal type".

[0087] (9) In the third step, determine whether V daf belongs to the range of 40%≤V daf <50%. The coal quality index requirement is C daf ≤77% or H daf ≥5%, otherwise, it is shown as "other coal type".

[0088] (10) In the third step, determine whether V daf belongs to the range of 28%≤V daf <40%. The coal quality index requirement is C daf ≤80% or C / H≤18%, otherwise, it is shown as "other coal type".

[0089] Fourth step: according to the preliminary determination of dry ash-free basis V daf in the third step, the dry ash-free basis volatile matter of the coal sample is calculated as follows:

[0090] According to the classification result of the third step, the volatile matter of sample 1 is calculated

[0091] V daf j=0.12×M t -0.02×A ar -0.63×C daf +1.12×H daf +62.18=0.12×5.8-0.02×19.61-0.63×95.54+1.12×1.25+62.18=3.69

[0092] According to the present application, the calculation result of V daf is 3.69%, and the actual test result of V daf is 3.52%, which shows that the calculation result and the actual test result are very close.

[0093] Example 3 - Calculation of dry ash-free basis volatile matter of sample 2

[0094] The method provided by the present application is suitable for anthracite, lean coal, bituminous coal and lignite, and includes the following steps:

[0095] First step: obtain the basic coal quality test data of the coal, specifically including: total moisture M t , unit: %, received basis ash Aar Carbon, dry, ash-free, C, in percent daf Hydrogen, dry, ash-free, H, in percent daf

[0096] The coal quality test results of sample 2 are as follows: M t = 15.7%, A ar = 39.20%, C daf = 75.08%, H daf = 6.39%.

[0097] Second step: calculate the C / H ratio, see formula (1) for details; C / H = C daf / H daf (Formula 1)

[0098] Sample 2 C / H = C daf / H daf = 75.08 / 6.39 = 11.75

[0099] Third step: according to the coal quality index of the first step, preliminarily determine the range of V daf , dry, ash-free, in percent, as follows:

[0100] (1) In the third step, first determine whether V daf belongs to the range of 3%≤V daf <12%. The coal quality index requirements are C daf ≥ 89% and H daf <4%, otherwise it is shown as "other coal types".

[0101] Sample 2 C daf = 75.08%, H daf = 6.39%, which does not meet the requirements of C daf ≥ 89% and H daf <4%, so it is "other coal types" and proceeds to the next step of discrimination.

[0102] (2) In the third step, determine whether V daf belongs to the range of 60%≤V daf <70% among the other coal types. The coal quality index requirements are C daf <70% and H daf ≥ 5.5%, otherwise it is shown as "other coal types".

[0103] Sample 2 C daf = 75.08%, H daf = 6.39%, which does not meet the requirements of C daf <70% and H daf ≥ 5.5%, so it is "other coal types" and proceeds to the next step of discrimination. ​

[0104] (3) In the third step, determine whether V daf belongs to the range 50% < V daf < 60% in other coal types. The coal quality index requirements are H daf ≥ 5.8%, otherwise show as "other coal types".

[0105] Sample 2C daf = 75.08%, H daf = 6.39%, which satisfies the requirement of H daf ≥ 5.8%, preliminarily determine that it belongs to the range 50% < V daf < 60%.

[0106] (4) In the third step, determine whether V daf belongs to the range 40% < V daf < 60% in other coal types. The coal quality index requirements are C daf ≤ 72%, otherwise show as "other coal types".

[0107] (5) In the third step, determine whether V daf belongs to the range 12% < V daf < 22% in other coal types. The coal quality index requirements are C daf ≥ 86%, H daf ≤ 4.4% and Aar < 35%, otherwise show as "other coal types".

[0108] (6) In the third step, determine whether V daf belongs to the range 22% < V daf < 28% in other coal types. The coal quality index requirements are C daf ≥ 85% and H daf ≥ 4.2%, otherwise show as "other coal types".

[0109] (7) In the third step, determine whether V daf belongs to the range 28% < V daf < 40% in other coal types. The coal quality index requirements are 80 ≤ C daf ≤ 82% and H daf < 5%, otherwise show as "other coal types".

[0110] (8) In the third step, determine whether V daf belongs to the range 22% < V daf < 28% in other coal types. The coal quality index requirements are C daf ≥ 80% and H daf ≤ 4.6%, otherwise show as "other coal types".

[0111] (9) In the third step, determine whether V dafwhether it belongs to the range of 40%≤V daf The coal quality index requirement is C daf ≤77% or H daf ≥5%, otherwise it is shown as "other coal type".

[0112] (10) In the third step, it is determined whether V daf belongs to the range of 28%≤V daf <40%. The coal quality index requirement is C daf ≤80% or C / H≤18%, otherwise it is shown as "other coal type".

[0113] Fourth step: according to the dry ash-free basis V daf preliminarily determined in the third step, the dry ash-free basis volatile matter of the coal sample is calculated as follows:

[0114] According to the classification result of the third step, the volatile matter of sample 2 is calculated

[0115] V daf j=0.21×M t -0.01×A ar -0.64×C daf +4.12×H daf +68.91=0.21×15.7-0.01×39.20-0.64×75.08+4.12×6.39+68.91=50.09

[0116] According to the present application, the calculation result of V daf is 50.09, and the actual test result of V daf is 50.93%, which shows that the calculation result is very close to the actual test result.

[0117] Embodiment 4

[0118] As shown in FIG. 2, the system for determining the volatile matter of power coal provided in the present embodiment comprises:

[0119] a data acquisition module, configured to acquire basic coal quality detection data of a coal to be detected, including: total moisture, received basis ash, dry ash-free basis carbon, and dry ash-free basis hydrogen;

[0120] a data analysis module, configured to determine a dry ash-free basis range according to the dry ash-free basis carbon and the dry ash-free basis hydrogen;

[0121] a calculation module, configured to calculate the dry ash-free basis volatile matter of the coal to be detected according to the determined dry ash-free basis range and the basic coal quality detection data of the coal to be detected.

[0122] Example 5

[0123] The embodiment provides a computer readable storage medium, and the computer readable storage medium stores a computer program. The computer program, when executed by a processor, implements steps of the method for determining volatile matter of power coal.

[0124] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. In addition, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage and the like) containing computer-usable program code.

[0125] The present application is described with reference to flowcharts and / or block diagrams of the method, the system and the computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate a system for implementing the functions specified in one or more flows in the flowcharts and / or one or more blocks in the block diagrams.

[0126] These computer program instructions can also be stored in a computer readable storage medium that can direct the computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable storage medium produce a manufactured product including instruction devices, which implement the functions specified in one or more flows in the flowcharts and / or one or more blocks in the block diagrams.

[0127] These computer program instructions can also be loaded into a computer or other programmable data processing device, so that a series of operation steps are performed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more flows in the flowcharts and / or one or more blocks in the block diagrams.

[0128] Therefore, the coal quality parameter required by the application is less, which is beneficial to reduce the equipment procurement cost of the power plant. The application is simple and fast, the research result is obtained by statistical analysis of a large number of laboratory test data, the calculation accuracy is high, and the application can be used for online coal quality detection system or online coal quality detection result volatile matter checking, which is beneficial to guide the daily operation of the power plant and coal blending combustion and the like, and has high engineering application value.

[0129] The basic principles and main features of the application and the advantages of the application are shown and described above, and it is obvious for those skilled in the art that the application is not limited to the details of the above exemplary embodiments, and the application can be realized in other specific forms without departing from the spirit or essential characteristics of the application. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-limiting, the scope of the application is defined by the appended claims rather than the above description, and all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the application. Any reference signs in the claims should not be regarded as limiting the claims involved.

[0130] In addition, it should be understood that although the present specification is described in terms of embodiments, not every embodiment contains only one independent technical solution, and the description of the specification is only for the sake of clarity, and those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that those skilled in the art can understand. The above is only to illustrate the technical idea of the application, and cannot limit the protection scope of the application, and any modification made on the basis of the technical solution according to the technical idea of the application falls within the protection scope of the claims of the application.

Claims

1. A method of determining the volatile matter of a power coal, characterized by, The method comprises the following steps: acquiring basic coal quality detection data of the coal to be detected, including: total moisture, received base ash, dry ash-free base carbon, and dry ash-free base hydrogen; determining a range of dry ash-free base volatile matter according to the dry ash-free base carbon and the dry ash-free base hydrogen; calculating the dry ash-free base volatile matter of the coal to be detected according to the determined range of the dry ash-free base volatile matter and the basic coal quality detection data of the coal to be detected.

2. The method of determining the volatile matter content of steam coal according to claim 1, wherein The method comprises the following steps: When 3% < V daf < 12%, V daf j = 0.12 x M t - 0.02 x A ar - 0.63 x C daf + 1.12 x H daf + 62.18; When 12% < V daf < 22%, V daf j = -0.90 x M t -0.45 x A ar -1.08 x C daf -8.10 x H daf + 160.79; When 22% < V daf < 28%, V daf j = -0.02 x M t -0.08 x A ar -0.33 x C daf -0.07 x H daf + 56.46; when 28% < V daf < 40%, V daf j = 0.11 x M t - 0.10 x A ar - 1.34 x C daf + 4.09 x H daf + 121.39; When 40% < V daf < 50%, V daf j = -0.11 x M t - 0.16 x A ar - 1.34 x C daf + 6.48 x H daf + 116.84; When 60% < V daf < 70%, 50% < V daf < 60% and 40% < V daf < 60%, V daf j = 0.21 x M t - 0.01 x A ar - 0.64 x C daf + 4.12 x H daf + 68.91; where V daf is the dry ash-free basis volatile range, V daf j is the dry ash-free basis calculated value, M t is the total moisture, A ar is the received ash, C daf is the dry ash-free basis carbon, H daf is the dry ash-free basis hydrogen, all in %.

3. A method of determining the volatile matter content of steam coal according to claim 2, characterised in that, When 3% < V daf <12% C daf ≥ 89% and H daf < 4%.

4. The method of determining the volatile matter content of steam coal according to claim 2, wherein When 12% < V daf <22%, C daf ≥ 86%, H daf ≤ 4.4% and A ar < 35%.

5. The method of determining the volatile matter content of steam coal as claimed in claim 2, wherein, When 22% < V daf <28%, C daf ≥ 85% and H daf ≥ 4.2%, or C daf ≥ 80% and H daf ≤ 4.6%.

6. The method of determining the volatile matter content of steam coal as claimed in claim 2, wherein, when 28% < V daf <40%, 80 < C daf <82% and H daf <5%, or C daf <80%, or the carbon to hydrogen ratio C / H < 18%, wherein C / H = C daf / H daf .

7. The method of determining the volatile matter content of steam coal as claimed in claim 2, wherein, When 40% < V daf <50%, C daf ≤ 77%, or H daf ≥ 5%.

8. The method of determining the volatile matter content of steam coal as claimed in claim 2, wherein, When 60% < V daf <70% and H daf <70% and H daf ≥ 5.5%; When 50% < V daf <60% when H daf ≥ 5.8%. When 40% < V daf <60% when C daf ≤ 72%.

9. A system for determining the volatile matter of steam coal, characterized by acquiring basic coal quality detection data of the coal to be detected, including: total moisture, received base ash, dry ash-free base carbon, and dry ash-free base hydrogen; determining a range of dry ash-free base volatile matter according to the dry ash-free base carbon and the dry ash-free base hydrogen; calculating the dry ash-free base volatile matter of the coal to be detected according to the determined range of the dry ash-free base volatile matter and the basic coal quality detection data of the coal to be detected. The method comprises the following steps:

10. A computer-readable storage medium, characterized in that, a data acquisition module, configured to acquire basic coal quality detection data of the coal to be detected, including: total moisture, received base ash, dry ash-free base carbon, and dry ash-free base hydrogen; a data analysis module, configured to determine a range of dry ash-free base volatile matter according to the dry ash-free base carbon and the dry ash-free base hydrogen; a calculation module, configured to calculate a quantitative value of the dry ash-free base volatile matter of the coal to be detected according to the determined range of the dry ash-free base volatile matter and the basic coal quality detection data of the coal to be detected. The computer readable storage medium stores a computer program, and the computer program, when executed by the processor, implements the steps of the method for determining volatile matter of power coal according to any one of claims 1-8.

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