Method for analyzing density-type coal quality parameters on basis of big data, and analyzer

Abstract

A method for analyzing density-type coal quality parameters on the basis of big data, and an analyzer and a system. The method comprises: on the basis of (II) and a large number of collected coal quality parameters A, M, V and FC, and collected Q and S data, establishing a coal quality parameter database and an identification and analysis software package; and on the basis of a coal quality parameter change signal U measured by a coal quality parameter measurement apparatus (1), the software package performing analysis, so as to obtain coal quality parameters A, M, V, FC, Q and S of coal. With regard to the coal quality parameter analyzer that uses the method, the analyzer is at least composed of a coal quality parameter measurement apparatus (1) and a control and calculation unit (2), wherein the coal quality parameter measurement apparatus (1) measures a coal quality parameter change signal U, the control and calculation unit (2) receives the signal U, and all coal quality parameters are rapidly analyzed by means of an identification and analysis software package. Compared with the establishment of a mathematical model for measurement, the method in the present invention is not affected by changes in coal types and coal quality, and has high measurement accuracy. The present invention is suitable for the online and offline measurement of coal quality parameters.

Description

A density-based coal quality parameter analysis method and analyzer based on big data

[0001] [Corrected on 13.06.2024 according to Rule 91] This application claims the rights and priority of the Chinese invention patent application entitled “Density-based coal quality parameter analysis method and coal quality parameter analyzer constructed by this method” filed on October 24, 2023, with application number 202311421708.X, which is incorporated herein by reference in its entirety as the first technical solution of this application. Technical Field

[0002] The present invention relates to the measurement of coal quality parameters: ash (A), moisture (M), volatile matter (V), fixed carbon (FC), calorific value (Q) and sulfur (S), and in particular to the measurement of the density of coal or coal sample by using Method and equipment for obtaining coal quality parameters using big data analysis. Background Art

[0003] At present, there are several methods for analyzing and measuring coal quality parameters:

[0004] 1. Elemental analysis. This method determines the composition of coal: carbon (C), hydrogen (H), oxygen (O), nitrogen (N), and sulfur (S). Key detection methods and equipment include neutron-induced prompt emission (NIPE) and its equipment, neutron activation (NAA) and its equipment, and X-ray fluorescence (XRF) and its equipment. These methods are less commonly used due to their complex equipment, high cost, and poor radiation safety.

[0005] 2. Industrial analysis methods. Confirm that coal is composed of ash (A), moisture (M), volatile matter (V), and fixed carbon (FC). Currently, the primary methods and equipment for measuring coal quality parameters A, M, V, and FC include: Industrial Analysis Methods for Coal (GB / T 212-2008), which uses the ash method to measure coal quality parameters A, M, V, and FC. This method is currently the most predominant and widely used. Its primary drawback is that it takes a long time to measure and cannot provide timely guidance for production process control.

[0006] 3. Dual-energy gamma-ray ash content online measurement method. This method uses the difference in ash absorption of gamma-ray energy to detect ash content. This method is widely used both abroad and domestically. Its main disadvantages are poor radiation safety and poor adaptability to changes in coal type and quality.

[0007] 4. Online measurement method of ash, moisture and calorific value using X-ray. Ash content is measured by X-ray and moisture content is measured by microwave, and calorific value is calculated based on ash content, moisture content, etc. However, due to the late development of this method and equipment, it has not yet been applied.

[0008] 5. CN116773398A discloses a density-based coal quality parameter measurement method that establishes mathematical models for measuring coal quality parameters A, M, V, and FC, using coal density as a variable. This method enables coal quality parameter measurement. However, this patent is currently under application and has not yet been implemented.

[0009] In addition, there are microwave method, laser method, neutron treatment method, X-ray fluorescence method, etc., but they are rarely used.

[0010] This patent application discloses a density-based coal quality parameter analysis method, which uses big data technology to establish a coal quality parameter database and uses recognition technology to establish an identification and analysis software package. The software package identifies the coal quality parameter change signal U measured by the coal quality parameter measurement device and analyzes the coal quality parameters.

[0011] Summary of the Invention

[0012] In order to solve the current problems of inaccurate coal quality parameter detection and long measurement time, the present invention discloses a density-type coal quality parameter analysis method, a coal quality parameter analyzer, a density-type coal quality parameter analysis method based on big data, a coal quality parameter analyzer based on the density-type coal quality parameter analysis method based on big data, a coal quality parameter measurement system and a storage medium.

[0013] The first technical solution: a density-based coal quality parameter analysis method and a coal quality parameter analyzer:

[0014] 1. Establish a density-based coal quality parameter analysis method;

[0015] 2. Construct a coal quality parameter analyzer based on this method;

[0016] The industrial analysis method of coal determines that coal is composed of four components: ash (A), moisture (M), volatile matter (V), and fixed carbon (FC). The meanings of A, M, V, and FC are the weights of each component W. A 、W M 、W V 、W FC Its total weight W 煤 The percentage of the ratio: W 煤 =W A +W M +W V +W FC

[0017] The industrial analysis method of coal (GB / T 212-2008) uses the ashing method (burning method) to detect the A, M, V, and FC values ​​of coal. That is, for each coal sample, 1g of the coal sample is weighed, burned in a muffle furnace, and 1g of the coal sample is ventilated and dried in a drying oven to obtain the weight of each component: W A 、WM 、W V 、W FC , thus calculating:

[0018] Here, the coal samples with the same weight of 1g have different A, M, V, and FC. This shows that the single coal sample weight parameter cannot be used to characterize the A, M, V, and FC of the coal sample. It also has another parameter, which is the volume V occupied by the weight of 1g coal sample. g , since 1g of coal sample occupies a volume V g The difference in the coal quality parameters A, M, V, and FC makes the detected coal quality parameters A, M, V, and FC different. In this regard, the present invention proposes a new understanding that coal is composed of the weight of each component of coal and the volume occupied by each weight, that is, coal is composed of the density ρ of each component of coal. A , ρ M , ρ V , ρ FC Composition, density of coal ρ 煤 The size is determined by the density of each component of coal ρ A , ρ M , ρ V , ρ FC The product of the weight percentage of each component (A, M, V, FC): ρ 煤 =ρ A *A+ρ M *M+ρ V *V+ρ FC *FC … (1)

[0019] Where:

[0020] ρ 煤 —density of coal; ρ A —ash density; ρ M —water density; ρ V —Volatile density; ρ FC —Fixed carbon density.

[0021] (1) where ρ A , ρ M , ρ V , ρ FC is a known constant, so ρ 煤 =f(A, M, V, FC), that is, ρ 煤 It is a function of the percentage change of A, M, V, and FC, and ρ is measured. 煤 The percentage changes among A, M, V and FC can be calculated from the changes in . Formula (1) is the theoretical basis of the density-based coal quality parameter analysis method of the present invention.

[0022] 1. Density-based coal quality parameter analysis method

[0023] (1) Based on ρ 煤 =ρ A A+ρ M M+ρ V V+ρ FC A large amount of data on FC and the A, M, V, FC values ​​tested according to the industrial analysis method for coal (GB / T212-2008) and the calorific value Q value tested according to the calorific value determination method for coal (GB / T213-2008) is used to establish a database of one or more different types of coal quality parameters: ash (A), moisture (M), volatile matter (V), fixed carbon (FC) and calorific value (Q), or a measurement parameter database of coal quality parameters using big data technology;

[0024] Where ρ 煤 —density of coal;

[0025] A, M, V, FC—coal quality parameters: ash, moisture, volatile matter, and fixed carbon percentage;

[0026] Q—calorific value of coal (%);

[0027] ρ A , ρ M , ρ V , ρ FC —Density of coal components.

[0028] (2) Based on the density ρ of coal or coal sample 煤 and its coal quality parameters A, M, V, FC, and combined with the coal quality parameter database, the coal quality parameter analysis software package was established using identification technology;

[0029] (3) Construct a coal quality parameter analyzer, which includes a density measuring device and an industrial control computer. The density measuring device of the analyzer detects the density ρ of the coal or coal sample. 煤 ;

[0030] (4) Coal quality parameter analysis software package for ρ 煤 Identify and identify 煤 Corresponding coal quality parameters: ash (A), moisture (M), volatile matter (V), fixed carbon (FC) and calorific value (Q).

[0031] 2. Construct a coal quality parameter analyzer based on the density-based coal quality parameter analysis method;

[0032] The coal quality parameter analyzer is composed of at least a density measuring device and an industrial control computer;

[0033] Density measuring device for measuring the density ρ of coal or coal sample 煤 ;

[0034] The industrial control computer (with a coal quality parameter database and coal quality parameter analysis software package) is used to receive the density ρ of the density measuring device 煤 Signal, and the coal quality parameter analysis software package is used to analyze ρ 煤 Identify and identify 煤 The corresponding coal quality parameters: ash (A), moisture (M), volatile matter (V), fixed carbon (C) and calorific value (Q) are shown in Figure 1

[0035] The density measuring device of the coal quality parameter analyzer also includes the weight W of the coal or coal sample 煤 Measuring device and volume V of coal or coal sample 煤 Measuring device. Coal or coal sample weight W 煤 The measuring device can be an electronic balance, electronic scale, electronic belt scale, X-ray scale or laser scale; the volume of coal or coal sample V 煤 The measuring device can be an angular displacement thickness gauge, a laser thickness gauge, an ultrasonic thickness gauge, an encoding thickness gauge, or a grating thickness gauge. Coal quality parameter analyzers can be divided into offline rapid coal quality parameter analyzers, which are used to measure the coal quality parameters of statically collected coal or coal samples; and online coal quality parameter analyzers, which are used to measure the coal quality parameters of coal or coal samples transported by a conveyor belt. Figure 2 shows a schematic diagram of the composition of an offline coal quality parameter analyzer; Figures 3 and 4 show schematic diagrams of the composition of an online coal quality parameter analyzer. Those skilled in the art can select different devices to construct various forms of offline or online density coal quality parameter analyzers according to specific application conditions.

[0036] Second technical solution: a density-type coal quality parameter analysis method based on big data (also a density-type coal quality parameter analysis method), a coal quality parameter analyzer based on the density-type coal quality parameter analysis method based on big data (also a coal quality parameter analyzer based on the density-type coal quality parameter analysis method):

[0037] This technical solution aims to solve two technical problems: first, to establish a density-based coal quality parameter analysis method based on big data, and second, to construct a coal quality parameter analyzer based on the coal quality parameter analysis method based on big data.

[0038] Theoretical basis

[0039] The industrial analysis method of coal (GB / T 212-2008) determines that coal is composed of four components: ash (A), moisture (M), volatile matter (V), and fixed carbon (FC). The meanings of A, M, V, and FC are the weights of each component W. A 、W M 、W V 、W FC Its total weight W 煤 The percentage of the ratio: W 煤=W A +W M +W V +W FC

[0040] And A+M+V+FC=100%

[0041] The industrial analysis method of coal (GB / T 212-2008) uses the ashing method to detect the A, M, V, and FC values ​​of coal. That is, each coal sample is weighed 1g, burned in a muffle furnace, and 1g of the coal sample is ventilated and dried in a drying oven to obtain the weight of each component: W A 、W M 、W V 、W FC , thus calculating:

[0042] Here, the coal samples with the same weight of 1g have different A, M, V, and FC. This shows that the weight parameter of a coal sample cannot be used to characterize the A, M, V, and FC of the coal sample. It also has another parameter, which is the volume V occupied by the weight of 1g coal sample. g , since 1g of coal sample occupies a volume V g The difference, that is The difference is also the density of the coal sample Different coal quality parameters A, M, V, and FC are detected differently. In this regard, the present invention proposes a new understanding that coal is composed of the weight of each component of coal and the volume occupied by each weight, that is, coal is composed of the density ρ of each component of coal. A , ρ M , ρ V , ρ FC Composition, density of coal ρ 煤 The size is determined by the density of each coal component ρ A , ρ M , ρ V , ρ FC The product of the weight percentage of each component A, M, V, FC:

[0043] Where:

[0044] —density of coal; ρ A —ash density; ρ M —water density; ρ V —Volatile density; ρ FC —Fixed carbon density.

[0045] (2) where ρ A , ρ M , ρ V , ρFC is a known constant, so Right now It is a function of the percentage change of A, M, V, and FC. Characterized by changes in (A, M, V, FC) i The formula (2) is the theoretical basis of the density-based coal quality parameter analysis method of the present invention (hereinafter referred to as the coal quality parameter analysis method).

[0046] We also studied the GB / T 213-2008 coal calorific value determination method and the GB / T 214-2007 coal total sulfur determination method. They also weigh 1g coal sample (more precisely, Heavy coal sample) to detect the calorific value (Q) and sulfur (S) of coal, and can also be used Changes represent changes in Q and S, which can be used Change representation (A, M, V, FC, Q, S) i changes.

[0047] Technical Concept

[0048] 1. Basis Theoretical basis, find and coal quality parameters (A, M, V, FC, Q, S) i The changing relationship between and (A, M, V, FC, Q, S) i One-to-one database.

[0049] 2. How to measure The coal quality parameter measuring device is constructed by using the existing coal quality parameter measuring method to measure the signal U of the coal or coal sample quality parameter change, that is, to measure the coal or coal sample quality parameter change signal U. changes, the U reflects Changes. Using the established U and Database, to measure U solution measurement problem.

[0050] 3. Use recognition technology to establish an analysis software package to identify the signal U and identify the signal corresponding to U. Again Identify, identify In the database Corresponding A, M, V, FC, Q, S. To this end, a second technical solution is proposed to establish a density-based coal quality parameter analysis method based on big data:

[0051] 1. The characteristics of the density-based coal quality parameter analysis method based on big data (i.e., a coal quality parameter analysis method based on big data) include:

[0052] The coal quality parameter change signal U of the coal or coal sample measured by the coal quality parameter measuring device is used as a variable. According to U and through the big data database, the coal quality parameters corresponding to U are identified: ash A, moisture M, volatile matter V, fixed carbon FC, calorific value Q, and sulfur S.

[0053] The step of identifying the coal quality parameters corresponding to U through the big data database further includes the following steps:

[0054] Steps: Taking the coal quality parameter change signal U measured by the coal quality parameter measuring device as a variable;

[0055] Steps: Based on A large amount of data based on the A, M, V, FC values ​​tested by the industrial analysis method for coal (GB / T 212-2008), the Q value tested by the calorific value determination method for coal (GB / T213-2008) and the S value tested by the total sulfur determination method for coal (GB / T 214-2007) is used to calculate the total sulfur content of coal. i i=1,2,3……n means that one or more different types of coal quality parameters are established using big data technology: (A, M, V, FC, Q, S) i Database or measurement parameter database of coal quality parameters,

[0056] Where:

[0057] —density of coal or coal sample

[0058] A, M, V, FC—coal quality parameters: ash, moisture, volatile matter, fixed carbon

[0059] Q—calorific value of coal

[0060] S—Sulfur content of coal

[0061] ρ A , ρ M , ρ V , ρ FC —Ash content, moisture content, volatile matter, and fixed carbon density of coal;

[0062] Steps: Based on the coal quality parameter change signal U measured by the coal quality parameter measuring device and the coal quality parameters A, M, V, FC detected by static detection and combined with the coal quality parameter database, an identification technology is used to establish an identification analysis software package;

[0063] Steps: Construct a coal quality parameter analyzer, which consists of a coal quality parameter measuring device and a control and calculation unit;

[0064] Steps: The coal quality parameter measuring device measures the coal quality parameter change signal U, the control and calculation unit receives the signal U, and identifies U through the identification and analysis software package to identify the coal quality parameters corresponding to U: A, M, V, FC, Q, S.

[0065] The method of using big data technology to establish one or more different types of coal quality parameter databases or coal quality parameter measurement parameter databases is characterized by comprising the following steps:

[0066] Steps: Based on (A, M, V, FC, Q, S) i and Establish Database, as shown in Table 1;

[0067] Steps: According to U and its (A, M, V, FC,) i Establish Database, as shown in Table 2;

[0068] Steps: Based on U and its (A, M, V, FC, Q, S) i Establish

[0069] U~(A, M, V, FC, Q, S) i Database, as shown in Table 3;

[0070] Steps: Create The measurement parameter database is shown in Table 4;

[0071] Steps: Create The measurement parameter database is shown in Table 5;

[0072] Steps: Establish U~(A, M, V, FC, Q, S) i Measurement parameter database, as shown in Table 6

[0073] Steps: Create

[0074] Measurement parameter database, such as The measurement parameter database is shown in Table 7.

[0075] Those skilled in the art can also establish other coal quality parameter databases, such as establishing coal quality parameter databases for different coal types (bituminous coal, anthracite, lignite, imported coal, blended coal, etc.). U~(A, M, V, FC, Q, S) can also be converted to i The database is separated into A~U, M~U, V~U, FC~U, Q~U, and S~U measurement parameter databases, but they all fall within the scope of protection of this patent.

[0076] Big Data Database Table 1

[0077] Big Data Database Table 2

[0078] U~(A, M, V, FC, Q, S) i Big Data Database Table 3

[0079] Measurement parameter database table 4

[0080] Measurement parameter database table 5

[0081] U~(A, M, V, FC, Q, S) i Measurement parameter database table 6

[0082] Measurement parameter database to build The measurement parameter database is shown in Table 7.

[0083] Measurement parameter database table 7

[0084] The measurement parameters of the measurement parameter database (Table 4, Table 5, Table 6, Table 7) are determined according to the following steps:

[0085] Steps: Use U and is the independent variable;

[0086] Steps: Take the two variable values ​​that correspond one to one in the measurement parameter data as the boundary points of the segment;

[0087] Steps: Take the interval between two boundary points as the segment, i.e. ΔU i or Segment i=1,2,3…n i , i represents the segment number;

[0088] Steps: Use the linear fitting method to fit the data within the segment to determine the measurement parameters of each segment, or use the following two boundary points to determine the intercept and slope of the straight line as the measurement parameters of each segment.

[0089] The coal quality parameter analysis method, the basis U and combined with the database to establish the identification analysis software package, first of all, it is necessary to determine which database to combine, such as:

[0090] (a) Based on U, combined The measurement parameter database is used to compile a U identification software program, as shown in Figure 15.

[0091] (b) Based on U, combined Database writing Identify the software program, as shown in Figure 16.

[0092] It should be noted that when identifying the coal quality parameters of U, the coal quality parameters corresponding to U can be directly obtained using Tables 1 and 2, or the coal quality parameters corresponding to U can be directly obtained using Table 3.

[0093] 2. Coal quality parameter analyzer constructed based on big data density coal quality parameter analysis method (i.e., a coal quality parameter analyzer based on big data coal quality parameter analysis method)

[0094] A coal quality parameter analyzer constructed based on a big data coal quality parameter analysis method is characterized in that the analyzer consists of a coal quality parameter measuring device 1 and a control and calculation unit 2, as shown in Figure 5; the coal quality parameter measuring device can be a density-type coal quality parameter measuring device 11, or an electronic belt scale coal quality parameter measuring device 12, or an X-ray-type coal quality parameter measuring device 13, or a gamma-ray-type coal quality parameter measuring device 14, or a microwave-type coal quality parameter measuring device 15, or a laser-type coal quality parameter measuring device 16, or a coal quality parameter measuring device constructed by any method, used to measure the coal quality parameter change signal U.

[0095] The coal quality parameter measuring device is combined with the coal quality parameter analyzing method to form different types of coal quality parameter analyzers as shown in FIG6 a .

[0096] Figure 6b shows a coal quality parameter analyzer composed of another specific coal quality parameter measuring device among the different types of coal quality parameter measuring devices in Figure 6a. For example, another specific coal quality parameter measuring device of the X-ray coal quality parameter measuring device 13 is an X-ray scale density measuring device 1c, and an X-ray scale coal quality parameter analyzer 3c composed of the X-ray scale density measuring device 1c. Other coal quality parameter analyzers (density-type coal quality parameter analyzer 3a, electronic belt scale coal quality parameter analyzer 3b, nuclear scale coal quality parameter analyzer 3d, microwave coal quality parameter analyzer 3e, laser scale coal quality parameter analyzer 3f) also have a similar structure to the X-ray scale coal quality parameter analyzer 3c.

[0097] Coal quality parameter analyzers can be divided into coal quality parameter offline analyzers and coal quality parameter online analyzers according to different applications;

[0098] FIG7 shows a schematic diagram of the density-type coal quality parameter offline analyzer;

[0099] FIG8 shows a schematic diagram of the composition of an electronic belt scale coal quality parameter online analyzer;

[0100] FIG9 shows a schematic diagram of the composition of an X-ray scale coal quality parameter online analyzer;

[0101] FIG10 shows a schematic diagram of the composition of the nuclear scale coal quality parameter online analyzer;

[0102] Figure 11 shows a schematic diagram of the microwave coal quality parameter online analyzer.

[0103] Figure 12 shows a schematic diagram of the laser scale coal quality parameter online analyzer;

[0104] The control and calculation unit of the coal quality parameter analyzer includes a host computer and a slave computer. The slave computer is used to control the measurement process of the coal quality parameter measuring device and provide a coal quality parameter change signal U; the host computer receives the signal U and identifies the coal quality parameter corresponding to U by setting up a big data database therein.

[0105] In one embodiment of the present invention, the coal quality parameter measuring device is one or more of a density-type coal quality parameter measuring device, an electronic belt scale-type coal quality parameter measuring device, an X-ray-type coal quality parameter measuring device, a gamma-ray-type coal quality parameter measuring device, a microwave-type coal quality parameter measuring device, and a laser-type coal quality parameter measuring device; or the coal quality parameter measuring device is one or more of a density measuring device, an electronic belt scale density measuring device, an X-ray scale density measuring device, a nuclear scale density measuring device, a microwave weight density measuring device, and a laser scale density measuring device.

[0106] In one embodiment of the present invention, the host computer is one or more of a computer, a workstation, and a mobile intelligent terminal; the slave computer is one or more of an industrial computer, a programmable logic controller PLC, a microcontroller, a single-chip microcomputer, and an embedded control board, and the slave computer is connected to the host computer through a communication port.

[0107] In one embodiment of the present invention, a cloud server and multiple coal quality parameter measurement substations are included, wherein the coal quality parameter measurement substations include any of the coal quality parameter analyzers described above, and the multiple coal quality parameter measurement substations are connected to the cloud server via a network.

[0108] In one embodiment of the present invention, the coal quality parameter measurement substation can be deployed in one or more of coal mines, coal-fired power plants, coal washing plants, coal preparation plants, coking plants, import and export coal ports, power coal blending plants, and coal trading plants.

[0109] The present invention discloses a storage medium for storing a computer control program, wherein the computer control program is used to execute the steps of any one of the above methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0110] FIG1 is a schematic diagram of a density-type coal quality parameter analyzer according to an embodiment of the present invention.

[0111] 1'—Density measuring device

[0112] 2'—Industrial Control Computer

[0113] FIG2 is a schematic diagram of the structure of an off-line coal quality parameter analyzer according to an embodiment of the present invention.

[0114] 3—Measuring cup (vessel) for weighing coal sample

[0115] A, B, and C are the positions of the measuring cup during measurement;

[0116] 4—Weight measuring device

[0117] 5—Thickness measuring device, i.e. volume measuring device

[0118] 51—Motor + encoder

[0119] 52—Screw

[0120] 53—Indenter

[0121] 6—Industrial Computer

[0122] FIG3 is a schematic diagram of the composition of an online coal quality parameter analyzer according to an embodiment of the present invention.

[0123] 7—Conveyor belt for transporting coal on site

[0124] 71—Transported coal

[0125] 8'—coal sampler, collects coal sample 71 on conveyor belt 7

[0126] 9'—Shaping hopper

[0127] 10'—Conveyor belt for analyzer setup

[0128] 101'—Measured coal or coal sample transported by conveyor belt

[0129] 11'— Ray device

[0130] 111— Radiation source

[0131] 112— Radiation detectors

[0132] 12'—Angular displacement thickness measuring device

[0133] 13'—Industrial Control Computer

[0134] FIG4 is a schematic diagram of the composition of an online coal quality parameter analyzer according to an embodiment of the present invention.

[0135] 7—User site conveyor belt

[0136] 71 - Coal or coal sample transported by conveyor belt 7

[0137] 9'—Shaping hopper

[0138] 13'—Industrial Control Computer

[0139] 14'—Shaped side panels

[0140] 15'—Press wheel compaction device

[0141] 16'—Laser thickness measuring device

[0142] 17'—Electronic belt scale

[0143] FIG5 is a schematic diagram of a coal quality parameter analyzer constructed in one embodiment of the present invention.

[0144] 1—Coal quality parameter measuring device

[0145] 2—Control and computing unit

[0146] FIG6 a is a schematic diagram of different types of coal quality parameter analyzers constructed according to a coal quality parameter analysis method in one embodiment of the present invention.

[0147] 1—Coal quality parameter measuring device

[0148] 11—Density-type coal quality parameter measuring device

[0149] 12—Electronic belt scale coal quality parameter measuring device

[0150] 13—X-ray coal quality parameter measuring device

[0151] 14—γ-ray coal quality parameter measuring device

[0152] 15—Microwave coal quality parameter measuring device

[0153] 16—Laser coal quality parameter measuring device

[0154] 2—Control and calculation unit (with coal quality parameter analysis method)

[0155] 3—Constructed coal quality parameter analyzer

[0156] 31—Density-type coal quality parameter analyzer

[0157] 32—Electronic belt scale type coal quality parameter analyzer

[0158] 33—X-ray coal quality parameter analyzer

[0159] 34—γ-ray coal quality parameter analyzer

[0160] 35—Microwave Coal Quality Parameter Analyzer

[0161] 36—Laser Coal Quality Parameter Analyzer

[0162] FIG6 b is a schematic diagram of different types of coal quality parameter analyzers constructed using different density measuring devices in one embodiment of the present invention.

[0163] 1—Coal quality parameter measuring device

[0164] 1a—Density measuring device

[0165] 1b—Electronic belt scale density measuring device

[0166] 1c—X-ray scale density measuring device

[0167] 1d—Nuclear balance density measuring device

[0168] 1e—Microwave density measurement device

[0169] 1f—Laser scale density measuring device

[0170] 2—Control and calculation unit (with coal quality parameter analysis method)

[0171] 3—Constructed coal quality parameter analyzer

[0172] 3a—Density Coal Quality Parameter Analyzer

[0173] 3b—Electronic belt scale type coal quality parameter analyzer

[0174] 3c—X-ray scale type coal quality parameter analyzer

[0175] 3D-Nuclear Scale Coal Quality Parameter Analyzer

[0176] 3e—Microwave Coal Quality Parameter Analyzer

[0177] 3f—Laser scale type coal quality parameter analyzer

[0178] FIG7 is a schematic diagram of the structure of a density-type coal quality parameter offline analyzer according to an embodiment of the present invention.

[0179] 3—Measuring cup (vessel) for weighing coal sample

[0180] A, B, and C are the positions of the measuring cup during measurement;

[0181] 4—Weight measuring device

[0182] 5—Thickness measuring device, i.e. volume measuring device

[0183] 51—Motor + encoder

[0184] 52—Screw

[0185] 53—Indenter

[0186] 2—Control and computing unit

[0187] FIG8 is a schematic diagram of the composition of an online analyzer for coal quality parameters on an electronic belt scale in one embodiment of the present invention.

[0188] 7—Conveyor belt

[0189] 71—Transported coal or coal samples

[0190] 8—Shaping hopper

[0191] 9—Multi-channel laser thickness gauge

[0192] 10—Electronic belt scale

[0193] 101—Pressure Sensor

[0194] 2—Control and computing unit

[0195] FIG9 is a schematic diagram of the composition of an X-ray scale coal quality parameter online analyzer in one embodiment of the present invention.

[0196] 15—Reclaimer

[0197] 16—Hopper

[0198] 17—Crusher

[0199] 18—Measuring tube

[0200] 19—X-ray scale

[0201] 191—X-ray source

[0202] 192—X-ray detector

[0203] 20—Screw conveyor

[0204] 2—Control and computing unit

[0205] FIG10 is a schematic diagram of the structure of a nuclear scale coal quality parameter online analyzer in one embodiment of the present invention.

[0206] 7—Conveyor belt

[0207] 71—Transported coal or coal samples

[0208] 25—Shaping hopper

[0209] 26—Multi-channel laser thickness measuring device

[0210] 27—Nuclear Scale

[0211] 271—Gamma-ray source

[0212] 272—Gamma-ray detector

[0213] 2—Control and computing unit

[0214] FIG11 is a schematic diagram of the structure of a microwave coal quality parameter online analyzer in one embodiment of the present invention.

[0215] 7—Conveyor belt

[0216] 71—Transported coal or coal samples

[0217] 40—Reclaimer

[0218] 41—Crusher

[0219] 42—Shaping hopper

[0220] 43—Angular displacement thickness gauge

[0221] 44—Microwave measuring device

[0222] 441 microwave generator and transmitting antenna

[0223] 442 Microwave Receiving Antenna and Receiver

[0224] 2—Control and computing unit

[0225] FIG12 is a schematic diagram of the structure of a laser scale coal quality parameter online analyzer in one embodiment of the present invention.

[0226] 7—Belt conveyor

[0227] 71—Coal or coal sample conveyed by belt conveyor

[0228] 31—Shaping hopper

[0229] 32—Angular displacement thickness measuring device

[0230] 33—Laser scale

[0231] 331 laser generator

[0232] 332 laser detector

[0233] 2—Control and computing unit

[0234] FIG13 is a schematic structural diagram of a control and calculation unit of a coal quality parameter analyzer according to an embodiment of the present invention.

[0235] 2—Control and computing unit

[0236] 21—Lower computer

[0237] 24—Upper computer

[0238] 22—Industrial Computer

[0239] 25—Computer

[0240] 23—Communication port

[0241] FIG14 is a schematic diagram of a coal quality parameter measurement system according to an embodiment of the present invention.

[0242] 200—Substation

[0243] 2001-Substation No. 1

[0244] 2002—Substation No. 2

[0245] …

[0246] 200n—substation number n

[0247] 210—Internet

[0248] 220—Cloud Server

[0249] FIG15 is a flowchart of a U identification software program according to an embodiment of the present invention.

[0250] U i —Signals of changes in coal quality parameters measured by a coal quality parameter measuring device;

[0251] It is the density value of coal identified by the software package;

[0252] U 1、 U2......U n yes In the database

[0253] U value of the corresponding boundary point;

[0254] FIG. 16 is a diagram of an embodiment of the present invention. Identify the flow chart of the software program.

[0255] It is identified by the recognition program in Figure 15 and corresponds to U value yes Data with (A, M, V, FC, Q, S) i One-to-one correspondence value. DETAILED DESCRIPTION

[0256] The technical solution of the present invention is described in detail below with reference to the accompanying drawings and specific embodiments to further understand the purpose, solution and beneficial technical effects of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0257] It should be noted that, in this specification, relational terms such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, article or device. In the absence of further restrictions, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element.

[0258] Certain terms are used in this specification and the appended claims to refer to specific components or parts. Persons skilled in the art will understand that technology users or manufacturers may use different nouns or terms to refer to the same component or part. This specification and the appended claims do not distinguish components or parts based on differences in name, but rather on differences in their functions.

[0259] Furthermore, the terms "installed," "disposed," "provided with," "connected," and "connected" should be interpreted broadly. For example, they can refer to fixed connections, removable connections, or integral structures; mechanical connections or electrical connections; direct connections or indirect connections through an intermediary; or internal communication between two devices, elements, or components. Those skilled in the art will understand the specific meanings of these terms in the present invention based on specific circumstances.

[0260] The first implementation method:

[0261] The following is a further explanation of the implementation of this patent in conjunction with the accompanying drawings. FIG1 shows a schematic diagram of a coal quality parameter analyzer constructed using a density-based coal quality parameter analysis method. The analyzer comprises at least a coal or coal sample density measuring device 1' and an industrial control computer 2', which is provided with a coal quality parameter analysis software package. The coal or coal sample density measuring device 1' measures the density of the coal or coal sample ρ 煤 , the industrial control computer 2' receives the density signal ρ 煤 , and the coal quality parameter analysis software package analyzed the relationship with ρ 煤 Corresponding coal quality parameters: ash (A), moisture (M), volatile matter (V), fixed carbon (FC) and calorific value (Q).

[0262] The establishment of a coal quality parameter analysis software package is the key to analyzing coal quality parameters, which is further described as follows:

[0263] (1) Collect a large amount of sufficient coal quality parameters: A, M, V, FC and Q data, according to the density-based coal quality parameter analysis method of the present invention: ρ 煤 =ρ A *A+ρ M *M+ρ V *V+ρ FC *FC, using big data technology and database building technology, establish one or more different types of coal quality parameter databases or measurement parameter databases. For example, a database of the percentage changes between coal quality parameters A, M, V, and FC can be established; a measurement parameter database of the changes in ash (A), moisture (M), volatile matter (V), and fixed carbon (FC) can be established; a coal quality parameter or measurement parameter database for each different type of coal can be established, and so on. By establishing different coal quality parameter databases, coal quality parameter measurements can be achieved using different methods. This patent recommends establishing a coal quality parameter database or measurement parameter database for different types of coal. According to the type of coal sample to be measured, the coal quality parameter or measurement parameter database of that coal type is selected for measurement, which has high measurement accuracy.

[0264] (2) Based on the density ρ of a large amount of coal or coal samples 煤 The coal quality parameter analysis software package is compiled by combining a large amount of data on its ash (A), moisture (M), volatile matter (V), fixed carbon (FC) and calorific value (Q), and using recognition technology to compile a coal quality parameter analysis software package. 煤 Identify the software program, thereby completing the establishment of the software package.

[0265] Figure 2 shows the schematic diagram of the coal quality parameter offline analyzer, which includes: a measuring cup (vessel) 3 for weighing the coal sample, a weight measuring device 4, a thickness measuring device 5 and an industrial control computer 6. The measuring cup 3 for weighing the coal sample can be selected Stainless steel cup; the weight measuring device 4 is an electronic balance with a measuring accuracy of ±0.005g; the thickness measuring device 5 is an encoder thickness gauge with a measuring accuracy of ±0.005mm; the industrial control computer is equipped with a coal quality parameter analysis software package.

[0266] For the coal samples collected offline at each measuring point, the coal samples are made into air-dried samples according to the requirements of the industrial analysis method of coal (GB / T 212-2008). The coal sample measuring cup 3 is weighed and a certain weight of coal sample is weighed at position A; the measuring cup 3 is at position B, and the electronic balance weighs the coal sample weight W. 煤 The measuring cup is at position C, and the thickness measuring device measures the thickness H of the coal sample in the measuring cup. 煤 ; Industrial computer receives W 煤 、H 煤 , and press Calculate the density ρ of the coal sample 煤 , where S 杯 —Measure the bottom area of ​​the cup, and the industrial control computer uses the coal quality parameter analysis software package to calculate the ρ 煤 Identify and identify 煤 Corresponding coal quality parameters A, M, V, FC and Q.

[0267] Figure 3 shows the Schematic diagram of the coal quality parameter online analyzer of the optical scale, which includes:

[0268] A coal sampler 8' is used to collect coal samples 71 from the coal conveyed on the on-site conveyor belt 7;

[0269] The shaping hopper 9' is used to shape the coal on the conveyor belt 10' into a coal flow with uniform width and height;

[0270] Conveyor belt 10', used for conveying the coal sample 101' to be tested;

[0271] Optical scale 11', including Radiation source 111, Radiation detector 112, used to measure the weight W of coal or coal sample 煤 ;

[0272] Angular displacement thickness measuring device 12', used to measure the thickness H of coal or coal sample 煤 ;

[0273] Industrial computer 13, used to receive W 煤 、H 煤 The coal quality parameter analysis software package can analyze all the coal quality parameters.

[0274] Figure 4 shows a schematic diagram of an online coal quality parameter analyzer using an electronic belt scale. The analyzer is directly installed on the coal conveyor belt at the user's site and continuously measures the coal conveyed on the conveyor belt. The online coal quality parameter analyzer includes:

[0275] On-site conveyor belt 7, used to transport the tested coal 71;

[0276] The shaping hopper 9' is used to shape the measured coal 71 into a coal flow with uniform width and height;

[0277] The shaping side plate 14' is used to shape the width of the coal flow and keep the width unchanged when the compacting device is compacting;

[0278] a compacting device 15' for compacting the coal flow 71 on the conveyor belt;

[0279] Laser thickness measuring device 16', used to measure the thickness H of coal flow 71 煤 ;

[0280] Electronic belt scale 17 ', used to measure the weight W of coal flow 71 煤

[0281] Industrial computer 13', used to receive H 煤 、W 煤 The coal quality parameter analysis software package can analyze all the coal quality parameters.

[0282] Second implementation method:

[0283] Based on the big data density coal quality parameter analysis method, a Coal quality parameter database and The database, U, is the coal quality parameter change signal of the coal or coal sample measured by the coal quality parameter measurement device. The coal quality parameter measurement device can be constructed using any measurement method. As long as it can measure the coal quality parameter change signal U of the coal or coal sample, it can be combined with the density-based coal quality parameter analysis method to achieve coal quality parameter measurement. The implementation of the patent is to concretize the coal quality parameter measurement device. In the prior art, there are methods for measuring coal quality parameters using X-rays, gamma rays, microwaves, lasers, and density measurement. These are all coal quality parameter measurement devices constructed using this method. Using this method, the detector measures the coal quality parameter change signal U, and then uses calibration, linear fitting, and mathematical modeling to achieve coal quality parameter measurement. If the signal U measured by the coal quality parameter measurement device constructed using the above methods is directly combined with the density-based coal quality parameter analysis method of the present invention, a coal quality parameter analyzer for each of the above methods can be constructed. As shown in Figure 6a, the coal quality parameter measurement devices constructed using the above methods can serve as specific implementations of the coal quality parameter measurement device of the patent, which can be combined with the coal quality parameter analysis method of the present invention to achieve coal quality parameter measurement.

[0284] according to show is a function of A, M, V, and FC, that is, use The change of A, M, V and FC percentage can be expressed as long as the density of coal or coal sample is measured. The changes in The corresponding coal quality parameters are obtained in the one-to-one correspondence database, so the patent implementation is how to measure the density of coal or coal samples

[0285] Any method known in the art for measuring the density of solid matter can be used to measure the density of coal or coal samples. As long as W is measured 煤 、V 煤 You can get

[0286] Example 1 Constructing a density measuring device 1a:

[0287] The encoder thickness measuring device is used to measure the coal sample height H in the weighing cup. 煤1 ; Use electronic scale or electronic balance to measure the coal sample in the cup and reset W 煤1

[0288] Coal sample density S1—cup bottom area (this ρ 煤测1 It is equivalent to the U mentioned above, and it is also equivalent to the coal sample density ρ measured by the coal or coal sample density measuring device in the first embodiment. 煤 )

[0289] FIG7 shows a schematic diagram of the structure of an off-line coal quality parameter analyzer using a density measurement device.

[0290] Density type coal quality parameter analyzer 3a includes:

[0291] The measuring cup 3 for weighing the coal sample is used to weigh the coal sample to be measured; the weighing device 4 is used to weigh the weight W of the coal sample to be measured 煤1 Encoder measuring device 5, including a motor and encoder 51, a screw 52 and a pressure head 53, for measuring the thickness of the coal sample in the measuring cup H 煤1 , control and computing unit 2, receives W 煤1 、H 煤1 Signal calculation of coal sample density S1—Measure the bottom area of ​​the cup according to ρ 煤测1 Through the coal quality parameter analysis software package, the 煤测1 Corresponding coal quality parameters.

[0292] Example 2 Construction of an electronic belt scale density measuring device 1b:

[0293] Use multi-channel laser thickness gauge 9 to measure the thickness H of coal or coal sample on the conveyor belt 煤2 , use electronic belt scale to measure the weight W of coal or coal sample on the conveyor belt 煤2

[0294] Figure 8 shows a schematic diagram of the online coal quality parameter analysis using an electronic belt scale density measurement device.

[0295] Electronic belt scale type coal quality parameter analyzer 3b includes:

[0296] A shaping hopper 8, used for shaping the coal or coal sample into coal or coal sample 71 with uniform width and thickness;

[0297] Multi-channel laser thickness gauge 9, used to measure the thickness H of coal or coal sample 71 on the conveyor belt 煤2 ;

[0298] The electronic belt scale 10 includes a pressure sensor 101 for measuring the weight W of the coal or coal sample on the conveyor belt. 煤2 ;

[0299] Control and calculation unit 2, receiving W 煤2 、H 煤2 Signal, calculated (This ρ 煤测2 Equivalent to the above U and ρ 煤 ), where S2 represents the bottom area of ​​the coal sample being tested. 煤测2 The coal quality parameter analysis software package was used to identify the 煤测2 Corresponding coal quality parameters.

[0300] Example 3: Constructing an X-ray scale density measuring device 1c:

[0301] The weight W3 of the coal or coal sample in the measuring tube is measured by an X-ray scale; the volume V3 of the coal sample in the measuring tube measured by the X-ray scale is a constant, and the density of the coal sample in the measuring tube is

[0302] FIG9 shows a schematic diagram of the composition of an online coal quality parameter analyzer using an X-ray scale density measuring device.

[0303] X-ray scale type coal quality parameter analyzer 3c includes:

[0304] A take-out device 15 is used to take out coal or coal samples from the production line;

[0305] Hopper 16, used to feed the coal or coal sample taken out by the reclaimer 15 into the crusher;

[0306] Crusher 17, used for crushing coal or coal sample into coal samples of uniform particle size;

[0307] Measuring tube 18, used for conveying coal sample with uniform particle size;

[0308] X-ray scale 19, including X-ray source 191 and X-ray detector 192, is used to measure the weight W of the coal sample in the measuring tube 18 煤3 ;

[0309] The screw conveyor 20 is used to convey the coal sample in the measuring tube;

[0310] Control and calculation unit 2, for receiving W 煤3 signal and calculate (V 煤3 = constant), (this ρ 煤测3 Equivalent to the above U and ρ 煤 ); according to ρ 煤测3 , the coal quality parameter analysis software package was used to identify the 煤测3 Corresponding coal quality parameters;

[0311] Example 4 Construction of a nuclear balance density measurement device 1d:

[0312] Use nuclear scale to measure the weight W of coal or coal quality on the conveyor belt 煤4 , use a multi-channel laser thickness gauge to measure the thickness H of coal or coal samples on the conveyor belt 煤4 ,get S4—the bottom area of ​​the coal sample being tested,

[0313] FIG10 shows a schematic diagram of the composition of an online coal quality parameter analyzer using a nuclear scale density measurement device.

[0314] Nuclear scale type coal quality parameter analyzer 3d includes:

[0315] The shaping hopper 25 is used to shape the coal or coal sample into a coal sample flow (i.e., the coal or coal sample 71) with uniform width and thickness;

[0316] Multi-channel laser thickness gauge 26, used to measure the thickness H of coal or coal sample 71 on conveyor belt 7 煤4 ;

[0317] The nuclear scale 27 includes a gamma ray source 271 and a gamma ray detector 272, and is used to measure the weight W of the coal or coal sample 71 on the conveyor belt 7. 煤4 ;

[0318] Control and calculation unit 2, receiving W 煤4 、H 煤4 signal and calculate (This ρ 煤测4 Equivalent to the above U and ρ 煤 ), according to ρ 煤测4 , through the coal quality parameter analysis software package, identify the 煤测4 Corresponding coal quality parameters.

[0319] Example 5 Construction of a density measuring device 1e for microwave gravimetric measurement:

[0320] Use microwave measuring device to measure the weight W of coal or coal sample on the conveyor belt 煤5 ; Use angular displacement thickness gauge to measure the thickness H of coal or coal sample 煤5 .

[0321] FIG11 shows a schematic diagram of the composition of an online coal quality parameter analyzer using a microwave density measuring device.

[0322] Microwave Coal Quality Parameter Analyzer 3e includes:

[0323] A sampler 40 is used to take out coal or coal samples from the production line;

[0324] Crusher 41, used for crushing coal or coal sample into coal sample with uniform particle size;

[0325] a shaping hopper 42 for shaping coal or coal samples into a coal sample 71 with uniform width and thickness;

[0326] Angular displacement thickness gauge 43, used to measure the thickness H of coal sample 71 煤5 ;

[0327] The microwave weighing device 44, comprising a microwave generator and transmitting antenna 441, a microwave receiving antenna and a receiver 442, is used to measure the weight W of the coal sample 71. 煤5 ;

[0328] Control and calculation unit 2, receiving W 煤5 、H 煤5 Signal, calculated (This ρ 煤测5 Equivalent to the above U and ρ 煤 ), according to ρ 煤测5 , the coal quality parameter analysis software package was used to identify the 煤测5 Corresponding coal quality parameters.

[0329] Example 6 Construction of a laser scale density measurement device 1f:

[0330] Use laser scale to measure the weight W of coal or coal sample on conveyor belt 煤6 , use angular displacement thickness gauge to measure the thickness H of coal or coal sample on conveyor belt 煤5 , the coal sample density is obtained S6—Bottom area of ​​the coal sample being tested.

[0331] FIG12 shows a schematic diagram of the composition of an online coal quality parameter analyzer using a laser scale density measurement device.

[0332] Laser scale type coal quality parameter analyzer 3f includes:

[0333] A shaping hopper 31 is used to shape the coal or coal sample into a coal sample flow 71 with uniform width and thickness;

[0334] Angular displacement thickness gauge 32, used to measure the thickness H of coal sample 71 on the conveyor belt 煤6 ;

[0335] Laser scale 33, including laser generator 331 and laser detector 332, is used to measure the weight W of coal or coal sample on the conveyor belt. 煤6 ;

[0336] Control and calculation unit 2, receiving W 煤6 、H 煤6 Signal, calculated (This ρ 煤测6 Equivalent to the above U and ρ 煤 ), according to ρ 煤测6 , identified by coal quality parameter analysis software package ρ 煤测6 Corresponding coal quality parameters.

[0337] FIG6 b shows a schematic diagram of a coal quality parameter analyzer constructed using the above-mentioned embodiments of different types of density measuring devices.

[0338] The coal quality parameter analysis software package was used to identify ρ 煤测 The process of the corresponding coal quality parameters (which is equivalent to U) is shown in Figures 15 and 16. The steps for establishing a large database of coal quality parameters refer to the implementation steps of the density-based coal quality parameter analysis method in the technical concept section of the invention content.

[0339] Those skilled in the art may also construct other types of density measuring devices and combine them with density-based coal quality parameter analysis methods to achieve coal quality parameter measurement, but all of them fall within the scope of protection of this patent.

[0340] As shown in Figure 13, the control and calculation unit 2 of the coal quality parameter analyzer 3 adopts a host-slave structure. The slave 21, such as an industrial computer 22, is used to control the measurement process of the coal quality parameter measuring device 1 and provide a coal quality parameter change signal U; the host 24, such as a computer 25 (with a coal quality parameter analysis method), receives U and identifies the coal quality parameters by the identification and analysis software package. The slave 21 and the host 24 are connected through a communication port 23 (the communication port can be a wired communication port or a wireless communication port). The host can be one or more of a computer, a workstation, and a mobile smart terminal; the slave is one or more of an industrial computer, a programmable logic controller PLC, a microcontroller, and an embedded control board. In addition, a host can also be used to aggregate the measurement data of multiple slaves to form a control and calculation unit 2 for multiple slave measurements. In one embodiment of the present invention, the host computer is one or more of a computer, a workstation, and a mobile intelligent terminal; the slave computer is one or more of an industrial computer, a programmable logic controller PLC, a microcontroller, a single-chip microcomputer, and an embedded control board, and the slave computer is connected to the host computer through a communication port.

[0341] As shown in Figure 14, the present invention also discloses a coal quality parameter measurement system. A coal quality parameter measurement substation 200 includes a coal quality parameter analyzer 3. N (n = 1, 2, ... n) coal quality parameter measurement substations (denoted as substation 1 2001, substation 2 2002, through substation n 200n) are connected to a cloud server via the internet, forming a large-scale coal quality parameter measurement system. The coal quality parameter measurement substation 200 can directly identify the coal quality parameter corresponding to U using its deployed coal quality parameter big data database. Alternatively, the coal quality parameter measurement substation 200 can obtain the coal quality parameter corresponding to U from the connected cloud server. The cloud server identifies the coal quality parameter corresponding to U and transmits it back to the coal quality parameter measurement substation. The cloud server's big data database stores the latest coal quality parameter data from the coal quality parameter measurement substations 200.

[0342] There are many ways to connect the coal quality parameter measurement substation 200 to the cloud server via the Internet, such as through the server, communication terminal, etc. in the coal quality parameter measurement substation 200 and the cloud server via the Internet. These are all existing technologies and will not be described in detail here.

[0343] In one embodiment of the present invention, the coal quality parameter measurement substation can be deployed in one or more of coal mines, coal-fired power plants, coal washing plants, coal preparation plants, coking plants, import and export coal ports, power coal blending plants, and coal trading plants.

[0344] The present invention discloses a storage medium for storing a computer control program, wherein the computer control program is used to execute the steps of any one of the above methods.

[0345] The computer program that can be executed by the processor can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the technical field.

[0346] The technical effects of using coal quality parameter analysis methods are:

[0347] 1. Based on (A, M, V, FC, Q, S) i Large amounts of data Database and Compared with the existing technology for establishing measurement mathematical models, the database can be more comprehensive, more accurate, and highly consistent, reflecting the changing relationship between the two variables one by one, greatly improving the correlation between the two variables and making it have higher measurement accuracy.

[0348] 2. The coal quality parameter identification and analysis software package does not build a mathematical model, is not affected by changes in coal type and coal quality, and is not affected by changes in multiple coal quality parameters among each other. It solves the difficulties in coal quality parameter measurement in existing technologies and further improves measurement accuracy.

[0349] 3. The coal quality parameter density analysis method, based on a single variable, U, can quickly and accurately detect six coal quality parameters, A, M, V, FC, Q, and S, through a large data database. This is the most important technical feature of the coal quality parameter analysis method. Compared with existing technologies, this coal quality parameter analysis method has achieved positive technical results.

[0350] Industrial Applicability

[0351] The coal industry relies on coal as its resource. Key coal performance indicators, such as A, M, V, FC, Q, and S—or coal quality parameters—are the most crucial data foundation for production, process control, utilization, trade transactions, management, and decision-making within the coal industry. They are also fundamental parameters for coal enterprises to develop a green, low-carbon, safe, efficient, and digital economy. For decades, rapid offline testing of all coal quality parameters, as well as accurate online, real-time testing, have been pressing challenges both domestically and internationally, creating a bottleneck in the coal industry's digital economy development. The "offline and online coal quality parameter analyzer" presented in this invention effectively addresses this bottleneck.

[0352] Offline and online coal quality parameter analyzers are used in coal enterprises: coal mines, coal-fired power plants, coal washing plants, coal preparation plants, coking plants, imported coal ports, power coal blending, coal trading, etc., to achieve rapid detection of all coal quality parameters and comprehensive and accurate online real-time detection of coal quality parameters, which can realize the informatization, digitization, standardization and intelligent process control of coal quality parameters in the coal industry, and assist in the digital economy construction of coal enterprises. For large coal groups, large coal and power groups, national coal resources management departments, National Coal Science Research Institute and other large departments and enterprises, a large-scale coal quality parameter measurement system with multiple substations is used, and its substations are installed as the fulcrum (or node) of the digital economy at various nodes of the production chain, supply chain and industrial chain of the affiliated enterprise departments. With the help of the Internet and cloud computing technology, the various types of coal quality parameter data detected by each substation are summarized to establish a coal quality parameter database of various types of coal resources in the department and even the country. Use big data technology to analyze various conditions of coal resource production, processing, utilization, trading, and management, identify weak links, take effective measures, implement efficiency improvement, emission reduction, environmental protection, safety, and management construction, establish a coal resource data supervision and management system, and contribute to the construction of a green, low-carbon, safe, and efficient national coal resource digital economy, which is of great significance to the unified management and decision-making of the country's coal resources.

[0353] In summary, it can be seen from the first and second technical solutions that: the first and second solutions are the same technical subject, namely the density-based coal quality parameter analysis method; the same theoretical basis, namely The same technical concept and the same technical features, that is, using big data to establish a coal quality parameter database, using recognition technology to establish an analysis software package, the software package for coal quality parameter change signal U or coal or coal sample density change signal ρ 煤 Identify and identify U and ρ 煤 The second technical solution is a further refinement and concretization of the first technical solution, and is only expanded in terms of patent application and scope of application (including embodiments).

[0354] The core of this invention is to create a density-based coal quality parameter analysis method. Compared with existing technologies such as ashing method, CN116773398A, dual-energy gamma ray, Compared with measurement methods such as X-ray, microwave, and laser, it is faster, simpler, and more accurate to analyze all coal quality parameters: A, M, V, FC, Q, and S, which has brought significant technological progress and can create greater economic and environmental benefits.

[0355] In summary, the present invention may have many other embodiments. Without departing from the spirit and essence of the present invention, those skilled in the art may evolve various corresponding changes and deformations based on the present invention, but these corresponding changes and deformations should all fall within the scope of protection of the patent applied for the present invention.

Claims

1. A density-based coal quality parameter analysis method, characterized in that: Includes steps: Steps: Based on ρ 煤 =ρ A A+ρ M M+ρ V V+ρ FC A large amount of data on FC and A, M, V, FC values ​​tested according to the industrial analysis method of coal (GB / T2122008) and calorific value Q value tested according to the calorific value determination method of coal (GB / T2132008), using big data technology to establish one or more different types of coal quality parameters: ash (A), moisture (M), volatile matter (V), fixed carbon (FC) and calorific value (Q) database or coal quality parameter measurement parameter database; Where ρ 煤 - density of coal; A, M, V, FC—coal quality parameters: ash, moisture, volatile matter, percentage of fixed carbon; Q—calorific value of coal (%); ρ A , M , V , FC —Density of coal components. Steps: Based on the density of coal or coal sample ρ 煤 and its coal quality parameters A, M, V, FC, and combined with the coal quality parameter database, the recognition technology is used to establish a coal quality parameter recognition and analysis software package; Steps: Construct a coal quality parameter analyzer, which includes a density measuring device and an industrial control computer. The density measuring device of the analyzer detects the density of coal or coal sample ρ 煤 ; Steps: Coal quality parameter identification and analysis software package 煤 Identify and identify 煤 Corresponding coal quality parameters: ash content (A), moisture (M), volatile matter (V), fixed carbon (FC) and calorific value (Q).

2. A coal quality parameter analyzer, characterized in that: include: Density measuring device, used to measure the density ρ of coal or coal sample 煤 ; Industrial computer, used to receive the density signal ρ of the density measuring device 煤 , and identify the parameters related to ρ through the coal quality parameter identification and analysis software package 煤 Corresponding coal quality parameters: ash content (A), moisture (M), volatile matter (V), fixed carbon (FC) and calorific value (Q).

3. The coal quality parameter analyzer according to claim 2, characterized in that: The density measuring device also includes a coal or coal sample weight measuring device and a coal or coal sample volume measuring device.

4. The coal quality parameter analyzer according to claim 3, characterized in that: The weight measuring device is an electronic balance, an electronic scale, an electronic belt scale, an X-ray scale or a laser scale.

5. The coal quality parameter analyzer according to claim 3, characterized in that: The volume measuring device is an angular displacement thickness gauge, a laser thickness gauge, an ultrasonic thickness gauge, an encoder thickness gauge or a grating thickness gauge.

6. A density-based coal quality parameter analysis method based on big data, characterized in that: Includes steps: The coal quality parameter change signal U of the coal or coal sample measured by the coal quality parameter measuring device is taken as a variable. According to U and through the big data database, the coal quality parameters corresponding to U are identified: ash content (A), moisture (M), volatile matter (V), fixed carbon (FC), calorific value (Q), and sulfur (S).

7. The density-based coal quality parameter analysis method based on big data according to claim 6 is characterized in that: The step of identifying the coal quality parameters corresponding to U according to U through the big data database further includes: Steps: taking the coal quality parameter change signal U measured by the coal quality parameter measuring device as a variable; Steps: Based on A large amount of data is collected based on the A, M, V, FC values ​​tested by the industrial analysis method for coal (GB / T 212-2008), the Q value tested by the calorific value determination method for coal (GB / T 213-2008), and the S value tested by the total sulfur determination method for coal (GB / T 214-2007). i i=1,2,3……n indicates that one or more different types of coal quality parameter databases and / or coal quality parameter measurement parameter databases are established using big data technology. Where: Indicates the density of coal or coal sample, A, M, V, FC represent the coal quality parameters: ash, moisture, volatile matter, fixed carbon, Q represents the calorific value of coal, S represents the sulfur content of coal. ρ A , M , V , FC Indicates the ash, moisture, volatile matter, and fixed carbon density of coal; Steps: Based on the coal quality parameter change signal U measured by the coal quality parameter measuring device and the coal quality parameters (A), moisture (M), volatile matter (V), fixed carbon (FC) detected by the static method and combined with the coal quality parameter database, an identification analysis software package is established by using identification technology; Steps: construct a coal quality parameter analyzer, which is composed of a coal quality parameter measuring device and a control and calculation unit; Steps: The coal quality parameter measuring device measures the coal quality parameter change signal U, the control and calculation unit receives the signal U, and identifies U through the identification and analysis software package to identify the coal corresponding to U. Quality parameters: ash (A), moisture (M), volatile matter (V), fixed carbon (FC), calorific value (Q), sulfur (S).

8. The density-based coal quality parameter analysis method based on big data according to claim 7 is characterized in that: The step of using big data technology to establish one or more different types of coal quality parameter databases and / or coal quality parameter measurement parameter databases further includes: Steps: Build database; Steps: Build database; Steps: Construct U~(A, M, V, FC, Q, S) i database; Steps: Build Measurement parameter database; step: Measurement parameter database; Steps: Construct U~(A, M, V, FC, Q, S) i Measurement parameter database; Steps: Build Measurement parameter database.

9. The density-based coal quality parameter analysis method based on big data according to claim 8 is characterized in that: The measurement parameters of the constructed measurement parameter database are determined according to the following steps: Steps: Use the measurement parameter database U or is the independent variable; Steps: Use the values ​​of two variables in one-to-one correspondence in the measurement parameter database as the boundary points of the segment; Steps: Take the interval ΔU between two boundary points i or Segmentation, where i = 1, 2, 3…n, i represents the segment number; Steps: Use the linear fitting method to fit the data within the segment to determine the measurement parameters of each segment, or use two dividing point values ​​to determine the intercept and slope of the straight line at two points as the measurement parameters of the segment.

10. The density-based coal quality parameter analysis method based on big data according to claim 7 is characterized in that: The step of using recognition technology to establish a recognition analysis software package further includes: Steps: According to the coal quality parameter change signal U combined with the big data database, the coal quality parameter change signal U is identified and obtained. Steps: Based on the coal quality parameter change signal U combined with the big data database Identify the coal quality parameters.

11. A coal quality parameter analyzer based on a large data density coal quality parameter analysis method, used to implement any one of the methods described in claims 6-10, characterized in that: include: A coal quality parameter measuring device (1) is used to measure a coal quality parameter change signal U of coal or a coal sample; The control and calculation unit (2) comprises an upper computer (24) and a lower computer (21), wherein the lower computer (21) is used for controlling the measurement process of the coal quality parameter measurement device (1) and providing a coal quality parameter change signal U; the upper computer (24) receives the signal U and identifies the coal quality parameter corresponding to U by setting a big data database therein.

12. The coal quality parameter analyzer according to claim 11, characterized in that: The coal quality parameter measuring device (1) is one or more of a density-type coal quality parameter measuring device (11), an electronic belt scale-type coal quality parameter measuring device (12), an X-ray-type coal quality parameter measuring device (13), a gamma-ray-type coal quality parameter measuring device (14), a microwave-type coal quality parameter measuring device (15), and a laser-type coal quality parameter measuring device (16); or the coal quality parameter measuring device (1) is one or more of a density measuring device (1a), an electronic belt scale-type density measuring device (1b), an X-ray scale-type density measuring device (1c), a nuclear scale-type density measuring device (1d), a microwave weight-based density measuring device (1e), and a laser scale-type density measuring device (1f).

13. The coal quality parameter analyzer according to claim 12, characterized in that: The host computer (24) is one or more of a computer (25), a workstation, and a mobile intelligent terminal; the slave computer (21) is one or more of an industrial computer (22), a programmable logic controller (PLC), a microcontroller, a single-chip microcomputer, and an embedded control board, and the slave computer is connected to the host computer via a communication port (23).

14. The coal quality parameter analyzer according to claim 11, characterized in that: Its types include off-line detection of coal quality parameter types and on-line detection of coal quality parameter types.

15. A coal quality parameter measurement system, characterized in that: It comprises a cloud server and a plurality of coal quality parameter measurement substations (200), wherein the coal quality parameter measurement substations (200) comprise a coal quality parameter analyzer (3) as claimed in any one of claims 11 to 14, and the plurality of coal quality parameter measurement substations (200) are connected to the cloud server via a network.

16. The coal quality parameter analyzer according to claim 15, characterized in that: The coal quality parameter measurement substation can be deployed in one or more of coal mines, coal-fired power plants, coal washing plants, coal preparation plants, coking plants, import and export coal ports, power coal blending plants, and coal trading plants.

17. A storage medium for storing a computer control program, characterized in that: The computer control program is used to execute the steps of the method according to any one of claims 6 to 10.

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