Method and device for on-line monitoring of raw coal properties

Abstract

The embodiment of the present disclosure discloses a kind of raw coal property online monitoring method and device, wherein the method comprises obtaining the real-time process data of raw coal to be monitored in the gasification process of gasification furnace and after gasification;After pre-processing real-time process data, the pre-processed data is input into the model pre-established for raw coal property analysis;The model is solved, and the elemental analysis result of the raw coal to be monitored is obtained.By real-time analysis of the property of raw coal, the effect of real-time monitoring the property of raw coal can be realized.The defects of high cost and lack of real-time in raw coal property analysis in related technologies are solved.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of data processing, in particular to an online monitoring method and device for raw coal properties. BACKGROUND

[0002] Coal gasification refers to a process in which solid fuels such as coal or coke, semi-coke, etc. are reacted with a gasifying agent in a gasifier under high-temperature normal pressure or pressurized conditions to be converted into gaseous products and a small amount of residue. The gasifying agent is mainly water vapor, air (or oxygen) or their mixture, and the gasification reaction includes a series of homogeneous and heterogeneous chemical reactions. The obtained gaseous products are mainly carbon monoxide, hydrogen, water vapor and carbon dioxide. The coal gasification process can be used to produce fuel gas and to manufacture synthesis gas as raw material for the synthesis of ammonia, methanol and liquid fuel. It is one of the important processes in coal chemical industry.

[0003] The entrained-flow bed gasification technology is one of the most important types of coal gasification technology. Due to its good mixing, large production capacity and the development trend of single series large-scale, it has become one of the most widely used gasification technologies. For the entrained-flow bed coal gasification system, the most important goal is stable system operation, and the second is economic efficiency. The most critical factor affecting the system is the properties of the raw coal entering the gasifier, which can include, for example, industrial analysis (moisture content, fixed carbon content, volatile matter content, ash content), elemental analysis (carbon, hydrogen, oxygen, nitrogen, sulfur, chlorine, ash content), coal calorific value, coal ash fusibility (deformation temperature, softening temperature, hemisphere temperature, flow temperature and ash sticking temperature characteristics), coal reactivity, etc. If the properties of the raw coal change and other process parameters cannot be adjusted in time to control the operating conditions of the gasifier, it will have a significant impact on the operation of the coal gasification system. The economic performance of the system will be poor, and the gasifier may even be shut down due to poor slagging.

[0004] In the related art, the analysis and monitoring of the gasification raw coal still uses a direct detection method, which is high in cost and cannot timely understand the changes in the quality of the raw coal entering the furnace. SUMMARY

[0005] The main purpose of the present disclosure is to provide an online monitoring method and device for raw coal properties.

[0006] In order to achieve the above-mentioned purpose, according to a first aspect of the present disclosure, an online monitoring method for raw coal properties is provided, comprising: obtaining real-time process data of a raw coal to be monitored in a gasification process in a gasifier and after gasification; inputting the preprocessed data into a pre-established model for raw coal property analysis after preprocessing the real-time process data; and solving the model to obtain the elemental analysis results of the raw coal to be monitored.

[0007] Optionally, during the solution process of the model, the slag outlet temperature of the gasifier during the gasification process is also obtained.

[0008] Optionally, the method further includes: controlling the operating conditions of the gasifier based on the solution results in order to maintain the normal operating condition of the gasifier.

[0009] Optionally, the method also includes pre-establishing a property analysis model for the raw coal, including: establishing a mass conservation equation for the gasifier during the gasification process; establishing an energy conservation equation for the gasifier during the gasification process; and establishing a chemical equilibrium equation during the gasification process.

[0010] Optionally, a mass conservation equation for the transformation system during the gasification process can be established to correct the preset parameters during the gasification process.

[0011] Optionally, the mass conservation equations for the gasifier during the gasification process include:

[0012]

[0013]

[0014]

[0015]

[0016] Among them, C c It is the carbon conversion rate of the gasification system, m x is the mass flow rate of each raw material entering the gasifier, Hd, Cd, and Od are the H, C, and O element contents of coal on a dry basis, [x] is the volume fraction of each component in the syngas at the gasifier outlet, and Q is the amount of crude syngas at the gasifier outlet.

[0017] Optionally, the energy conservation equations for the gasification process, including the input and output of the furnace, are established as follows: m coal *HHV+∑H in，i =∑Q out，j *H comb，j +∑H out，j +Q lost Where mcoal is the mass flow rate of coal fed into the furnace, HHV is the higher heating value of coal, Hin,i is the sensible heat of each inlet stream, Qout,j is the flow rate of each outlet stream, Hcomb,j is the higher heating value of each outlet stream, Hout,j is the sensible heat of each outlet stream, and Qlost is the heat loss of the gasifier.

[0018] Optionally, establishing the chemical equilibrium equations for the gasification process includes: Where [x] is the volume fraction of each component in the syngas at the gasifier outlet, Keq1=f(T) is the equilibrium constant of the CO-H2 conversion reaction, Keq2=g(T) is the equilibrium constant of the methanation reaction, and T is the temperature at the gasifier slag inlet.

[0019] Optionally, the mass conservation equations for the shift system during the gasification process include:

[0020]

[0021]

[0022] Where Conv is the CO conversion rate of the conversion system, [CO] s-g This is the dry basis CO volume fraction of the syngas at the gasification outlet, [CO]. b-g It changes the dry basis CO volume fraction of the syngas at the outlet, Q. b-g It is to change the outlet dry syngas flow rate, Q s-g This is the verified dry syngas output at the outlet of the water washing tower.

[0023] The online monitoring method and apparatus for raw coal properties in this embodiment includes acquiring real-time process data of the raw coal to be monitored during and after gasification in a gasifier; after preprocessing the real-time process data, inputting the preprocessed data into a pre-established model for raw coal property analysis; solving the model to obtain the elemental analysis results of the raw coal to be monitored. By analyzing the properties of the raw coal in real time, the effect of real-time monitoring of the raw coal properties can be achieved. This solves the defects of high cost and lack of real-time capability in related technologies. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the specific embodiments of this disclosure or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0025] Figure 1 This is a flowchart of an online monitoring method for the properties of raw coal according to an embodiment of this disclosure;

[0026] Figure 2 This is an application scenario diagram of the online monitoring method for the properties of raw coal according to embodiments of this disclosure;

[0027] Figure 3 This is a schematic diagram of an electronic device according to an embodiment of the present disclosure. Detailed Implementation

[0028] To enable those skilled in the art to better understand the present disclosure, the technical solutions of the present disclosure will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present disclosure, and not all embodiments. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present disclosure.

[0029] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0030] It should be noted that, unless otherwise specified, the embodiments and features described in this disclosure can be combined with each other. This disclosure will now be described in detail with reference to the accompanying drawings and embodiments.

[0031] In related technologies, the direct measurement method for monitoring the properties of coal used in gasification typically involves directly analyzing and testing collected coal samples. The methods used vary depending on the properties to be measured, but generally require various experimental equipment and analytical instruments, as well as specialized laboratories and personnel. Furthermore, dedicated personnel are needed to handle the sampling, testing, and result reporting processes. The advantage of the direct measurement method is its accurate acquisition of various coal properties. However, its disadvantages include high cost and time lag. Most coal chemical production enterprises lack the capability to analyze coal on a daily or hourly basis. For elemental analysis of coal, most enterprises lack the analytical capability altogether, or conduct analysis on a weekly or monthly basis. As a result, operators cannot promptly understand changes in the quality of the coal entering the furnace, making it difficult to adjust process parameters accordingly.

[0032] In addition, by closely monitoring the gasifier's operating status (such as gasification temperature, consumption indicators, ash and slag content, and residual carbon content), operators can roughly infer changes in coal properties based on the resulting consequences. The advantage of this indirect assessment is that it requires no additional cost. The disadvantages of indirect assessment are: ① it can only provide a general qualitative assessment, not a quantitative one, and lacks standardized criteria; ② it requires a high level of operator experience; ③ the assessment results lack a rigorous logical relationship, meaning that observable consequences may be caused by other factors, and this rough evaluation cannot distinguish the influence of various factors.

[0033] The system that can be used to implement this method includes a raw coal gasification system, a conversion system, and supporting control and business systems, as well as a local server or cloud server. This embodiment can be deployed on a local server or cloud server. The local server or cloud server can obtain the required process parameters from the control system or a real-time database connected to the control system via a data interface. The local server or cloud server can obtain relevant data input by the user through the application from the business system via a data interface. After collecting the above data, this embodiment can achieve online monitoring of the properties of the raw coal.

[0034] According to embodiments of this disclosure, an online monitoring method for the properties of raw coal is provided, such as... Figure 1 As shown, the method includes the following steps 101 to 103:

[0035] Step 101: Obtain real-time process data of the raw coal to be monitored during the gasification process in the gasifier and after gasification.

[0036] In this embodiment, reference Figure 2 Real-time process data can be data generated during the gasification process. Pre-defined calculations can be performed using this real-time data to determine the properties of the raw coal. Real-time data can include real-time process parameters of the raw coal in the gasification control system, real-time process parameters in the transformation control system, and so on.

[0037] In this optional implementation, the real-time process parameters of the gasification control system may include: syngas flow rate at the gasification boundary, syngas composition at the gasification boundary, syngas temperature at the gasification boundary, syngas pressure at the gasification boundary, gasifier pressure, coal slurry flow rate (or pulverized coal flow rate) into the gasifier, oxygen flow rate into the gasifier, steam flow rate into the gasifier (if any), gas delivery volume and composition (if any), and flow rates of other gasifying agents (if any).

[0038] The real-time process parameters of the raw coal to be monitored in the conversion control system include the syngas output and composition of the gas at the outlet of the conversion system; (if there is no corresponding conversion system, the gas parameters corresponding to the outlet of other processing processes will be used instead).

[0039] For example, when the raw coal is in a coal-water slurry state, basic data can also be obtained. This basic data can be the conventional process parameters of the raw coal, including the coal slurry concentration during coal-water slurry gasification. This data can be obtained from LIMS, and by integrating data from both dimensions for analysis, the properties of the raw coal can be obtained in real time, enabling monitoring of changes in the raw coal.

[0040] Step 102: After preprocessing the real-time process data, input the preprocessed data into the pre-established model for raw coal property analysis.

[0041] In this embodiment, after obtaining the aforementioned data, data cleaning can be performed to meet the needs of model solving. This can include: missing value handling, outlier handling, data imputation, data aggregation, denoising, moving averages, etc. The goal is to eliminate noise interference carried in the original data and synchronize the data frequency to meet the requirements of model calculation. The preprocessed data can then be input into the pre-established mechanistic model.

[0042] As an optional implementation of this embodiment, the method further includes pre-establishing a property analysis model of the raw coal, including: establishing the mass conservation equation of the gasifier during the gasification process; establishing the energy conservation equation of the gasifier during the gasification process; and establishing the chemical equilibrium equation of the gasifier during the gasification process.

[0043] In this optional implementation, the gasifier has a mass conservation model (including the mass conservation of carbon, hydrogen, oxygen, and ash during gasification), an energy conservation model (including the overall energy conservation of the gasification process), and a chemical equilibrium model (including the steam-water shift reaction and the methanation reaction). These models together form a set of nonlinear equations, which serve as the mechanistic model for this embodiment.

[0044] As an optional implementation method in this embodiment, the mass conservation equation of the gasifier during the gasification process includes:

[0045]

[0046]

[0047]

[0048] Among them, C c It is the carbon conversion rate of the gasification system, m x is the mass flow rate of each feedstock entering the gasifier; Hd, Cd, and Od are the H, C, and O element contents of coal on a dry basis; [x] (e.g., [H2], etc.) is the volume fraction of each component in the syngas at the gasifier outlet; and Q is the amount of crude syngas at the gasifier outlet. Q can be calculated from the syngas outlet flow rate of the water scrubbing tower, etc.

[0049] As an optional implementation method in this embodiment, the energy conservation equation of the gasifier during the gasification process includes:

[0050] m coal *HHV+∑H in，i =∑Q out，j *H comb，j +∑H out，j +Q lost Where mcoal is the mass flow rate of coal fed into the furnace, HHV is the higher heating value of coal, Hin,i is the sensible heat of each inlet stream, Qout,j is the flow rate of each outlet stream, Hcomb,j is the higher heating value of each outlet stream, Hout,j is the sensible heat of each outlet stream, and Qlost is the heat loss of the gasifier.

[0051] As an optional implementation method in this embodiment, establishing the chemical equilibrium equation of the gasifier during the gasification process includes:

[0052]

[0053]

[0054] Where [x] is the volume fraction of each component in the syngas at the gasifier outlet, Keq1=f(T) is the equilibrium constant of the CO-H2 conversion reaction, Keq2=g(T) is the equilibrium constant of the methanation reaction, and T is the temperature at the gasifier slag inlet.

[0055] As an optional implementation of this embodiment, the method includes: establishing a mass conservation equation for the transformation system during the gasification process to correct the preset parameters in the gasification process.

[0056] In this optional implementation, since the crude syngas quantity Q at the gasifier outlet cannot be measured, and the syngas quantity at the gasification system water washing tower outlet is often inaccurate, the dry syngas quantity (preset parameter) at the water washing tower outlet can be calibrated by transforming the system mass conservation model, thereby making the calculated crude syngas quantity Q at the gasifier outlet more accurate.

[0057] As an optional implementation of this embodiment, the mass conservation equation of the conversion system during the gasification process includes:

[0058]

[0059] Where Conv is the CO conversion rate of the conversion system, [CO] s-g This is the dry basis CO volume fraction of the syngas at the gasification outlet, [CO]. b-g It changes the dry basis CO volume fraction of the syngas at the outlet, Q. b-g It is to change the outlet dry syngas flow rate, Q s-gThis is the verified dry syngas output at the outlet of the water washing tower.

[0060] In this optional implementation, the verified Q... s-g It can accurately calculate the crude syngas Q at the gasifier outlet.

[0061] It is understood that the model in this embodiment can also be to establish an element balance at the inlet and outlet of the entire gasification system to obtain the same output as in the above embodiment.

[0062] Step 103: Solve the model to obtain the elemental analysis results of the raw coal to be monitored.

[0063] In this embodiment, reference Figure 2 The system of equations can be solved using a support module and a solution module. The support module may include a library of material property models to estimate the physical and chemical properties of various materials involved in the mechanism model calculation. The solution module performs numerical solutions to the mechanism model and may include solvers for linear and nonlinear equations. For example, linear equations can be solved using the Gauss-Seidel iteration or the SOR method, and nonlinear equations can be solved using the quasi-Newton Broyden method. It is understood that the above solution methods are merely illustrative, and solutions can also be obtained using other existing or future publicly available solution methods, which are not limited here.

[0064] The solution yields the following components: carbon content, hydrogen content, oxygen content, and ash content. This embodiment directly calculates and obtains quantitative elemental analysis results of the main components of coal, providing more direct guidance for operators.

[0065] Among the properties of coal, the indicators that have the greatest impact on the stable operation and economic efficiency of fluidized bed coal gasification systems, besides elemental analysis (mainly ash, carbon, oxygen, and hydrogen content), include the coal ash flow temperature.

[0066] As an optional implementation method in this embodiment, the slag outlet temperature of the gasifier during the gasification process is also obtained during the solution of the model.

[0067] In this optional implementation, fluidized bed gasifiers typically employ a liquid ash discharge method, where the ash in the coal is melted into a liquid state. This requires the ash outlet temperature of the gasifier to be higher than the ash flow temperature by a certain margin to ensure good ash flowability and smooth ash discharge from the gasifier. Therefore, obtaining the ash outlet temperature of the gasifier allows for direct comparison with the coal ash fusibility analysis results, enabling assessment of whether ash discharge from the gasifier is smooth and whether there is a risk of ash blockage. This is crucial for the stable operation of the gasifier.

[0068] By using a mechanistic model to calculate coal quality, the slag inlet temperature of the gasifier can be calculated during the process of solving the chemical equilibrium model of the gasifier. This method requires less production data and has a higher accuracy.

[0069] As an optional implementation of this embodiment, the method further includes: controlling the operating conditions of the gasifier based on the solution results in order to maintain the normal working state of the gasifier.

[0070] In this optional implementation, by analyzing the properties of the raw coal, other process parameters can be adjusted in a timely manner when the properties of the raw coal change, and the operating conditions of the gasifier can be controlled to avoid significant impacts on the operation of the coal gasification system, such as poor system economy, poor ash discharge, or gasifier shutdown.

[0071] This embodiment does not rely on existing analytical and detection technologies. Instead, it integrates online monitoring data, online analysis data, and existing conventional analysis data from the entire gasification system and downstream processes to establish a mechanistic model of the gasification system based on mass conservation, energy conservation, chemical reaction equilibrium, and phase equilibrium. The model calculates the elemental analysis results of the coal entering the gasifier, guiding the operation of the gasifier.

[0072] Compared to direct analysis and measurement, this embodiment does not increase the cost of additional analytical equipment and personnel; at the same time, since the parameters accessed are almost all real-time online monitoring data, it can realize real-time monitoring of the changes in the properties of the coal entering the furnace, with strong timeliness, and can accurately obtain the relevant properties of the coal compared to indirect and rough assessment.

[0073] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0074] According to an embodiment of this disclosure, an apparatus for implementing the above-described online monitoring method for the properties of raw coal is also provided. The apparatus includes: an acquisition unit configured to acquire real-time process data of the raw coal to be monitored during and after gasification in a gasifier; an analysis unit configured to preprocess the real-time process data and input the preprocessed data into a pre-established model for analyzing the properties of raw coal; and a solution unit configured to obtain the elemental analysis results of the raw coal to be monitored.

[0075] As an optional implementation method in this embodiment, the slag outlet temperature of the gasifier during the gasification process is also obtained during the solution of the model.

[0076] As an optional implementation of this embodiment, it also includes: controlling the operating conditions of the gasifier based on the solution results in order to maintain the normal working state of the gasifier.

[0077] As an optional implementation of this embodiment, obtaining real-time process data of the raw coal to be monitored during the gasification process in the gasifier includes: obtaining real-time process parameters of the raw coal to be monitored in the gasification control system; obtaining real-time process parameters of the raw coal to be monitored in the transformation control system; obtaining basic data of the raw coal to be monitored includes: obtaining the coal slurry concentration of the raw coal to be monitored during coal-water slurry gasification.

[0078] As an optional implementation method of this embodiment, it also includes pre-establishing a property analysis model of the raw coal, including: establishing the mass conservation equation of the gasifier during the gasification process; establishing the energy conservation equation of the gasifier during the gasification process; and establishing the chemical equilibrium equation of the gasifier during the gasification process.

[0079] As an optional implementation method in this embodiment, a mass conservation equation for the transformation system during the gasification process is established to modify the mass conservation equation for the gasifier during the gasification process.

[0080] This disclosure provides an electronic device, such as... Figure 3 As shown, the electronic device includes one or more processors 31 and a memory 32. Figure 3 Take a processor 31 as an example.

[0081] The controller may also include an input device 33 and an output device 34.

[0082] The processor 31, memory 32, input device 33, and output device 34 can be connected via a bus or other means. Figure 3 Taking the example of a connection between China and Israel via a bus.

[0083] Processor 31 can be a Central Processing Unit (CPU). Processor 31 can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof. The general-purpose processor can be a microprocessor or any conventional processor.

[0084] The memory 32, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the control method in this embodiment. The processor 31 executes various functional applications and data processing of the server by running the non-transitory software programs, instructions, and modules stored in the memory 32, thereby realizing the online monitoring method for the properties of raw coal in the above-described method embodiment.

[0085] The memory 32 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the use of the processing device operated by the server. Furthermore, the memory 32 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 32 may optionally include memory remotely located relative to the processor 31, and these remote memories can be connected to a network connection device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0086] Input device 33 can receive input numerical or character information, and generate key signal inputs related to user settings and function control of the server's processing device. Output device 34 may include display devices such as a display screen.

[0087] One or more modules are stored in memory 32, and when executed by one or more processors 31, they perform actions such as... Figure 1 The method shown.

[0088] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium. When executed, the program can include the processes of the embodiments of the motor control methods described above. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium can also include combinations of the above types of memory.

[0089] Although embodiments of the present disclosure have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present disclosure, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. An online monitoring method for the properties of raw coal, characterized in that, include: Acquire real-time process data of the raw coal to be monitored during and after gasification in the gasifier; After preprocessing the real-time process data, the preprocessed data is input into a pre-established model for raw coal property analysis. The model is solved to obtain the elemental analysis results of the raw coal to be monitored; The method also includes pre-establishing a property analysis model for the raw coal, including: establishing the mass conservation equation of the gasifier during the gasification process; establishing the energy conservation equation of the gasifier during the gasification process; and establishing the chemical equilibrium equation of the gasifier during the gasification process. The method includes: establishing a mass conservation equation for the transformation system during the gasification process to correct preset parameters during the gasification process; The mass conservation equations for the shift system during gasification include: ； ； in, It is the CO conversion rate of the conversion system. It is the dry basis CO volume fraction of the syngas at the gasification outlet. It changes the dry basis CO volume fraction of the syngas at the outlet. It involves changing the outlet dry syngas volume. This is the verified dry syngas output at the outlet of the water scrubbing tower; The mass conservation equations for the gasifier during the gasification process include: ； ； ； ； in, It is the carbon conversion rate of the gasification system, m x is the mass flow rate of each raw material entering the gasifier, Hd, Cd, and Od are the H, C, and O element contents of coal on a dry basis, [x] is the volume fraction of each component in the syngas at the gasifier outlet, and Q is the amount of crude syngas at the gasifier outlet. The energy conservation equations for the gasifier include: Where, mcoal is the mass flow rate of coal fed into the furnace, HHV is the higher heating value of coal, Hin,i is the sensible heat of each inlet stream, Qout,j is the flow rate of each outlet stream, Hcomb,j is the higher heating value of each outlet stream, Hout,j is the sensible heat of each outlet stream, and Qlost is the heat loss of the gasifier. The chemical equilibrium equations for the gasifier during the gasification process include: ； ； Where [x] is the volume fraction of each component in the syngas at the gasifier outlet, Keq1=f(T) is the equilibrium constant of the CO-H2 conversion reaction, Keq2=g(T) is the equilibrium constant of the methanation reaction, and T is the temperature at the gasifier slag inlet.

2. The online monitoring method for the properties of raw coal according to claim 1, characterized in that, During the solution process of the model, the slag outlet temperature of the gasifier during the gasification process was also obtained.

3. The online monitoring method for the properties of raw coal according to claim 1 or 2, characterized in that, The method further includes: Based on the solution results, the operating conditions of the gasifier are controlled to maintain its normal working state.

4. An online analysis device for the properties of raw coal, comprising: The acquisition unit is configured to acquire real-time process data of the raw coal to be monitored during the gasification process in the gasifier and after gasification. The analysis unit is configured to input the preprocessed data into a pre-established model for raw coal property analysis after preprocessing the real-time process data. The solver is configured to obtain the elemental analysis results of the raw coal to be monitored; It also includes pre-establishing a property analysis model for the raw coal, including: establishing the mass conservation equation of the gasifier during the gasification process; establishing the energy conservation equation of the gasifier during the gasification process; and establishing the chemical equilibrium equation of the gasifier during the gasification process. It also includes: establishing the mass conservation equation of the transformation system during the gasification process in order to correct the preset parameters during the gasification process; The mass conservation equations for the shift system during gasification include: ； ； in, It is the CO conversion rate of the conversion system. It is the dry basis CO volume fraction of the syngas at the gasification outlet. It changes the dry basis CO volume fraction of the syngas at the outlet. It involves changing the outlet dry syngas volume. This is the verified dry syngas output at the outlet of the water scrubbing tower; The mass conservation equations for the gasifier during the gasification process include: ； ； ； ； in, It is the carbon conversion rate of the gasification system, m x is the mass flow rate of each raw material entering the gasifier, Hd, Cd, and Od are the H, C, and O element contents of coal on a dry basis, [x] is the volume fraction of each component in the syngas at the gasifier outlet, and Q is the amount of crude syngas at the gasifier outlet. The energy conservation equations for the gasifier include: Where, mcoal is the mass flow rate of coal fed into the furnace, HHV is the higher heating value of the coal, Hin,i is the sensible heat of each inlet stream, Qout,j is the flow rate of each outlet stream, Hcomb,j is the higher heating value of each outlet stream, Hout,j is the sensible heat of each outlet stream, and Qlost is the heat loss of the gasifier; the chemical equilibrium equations for the gasifier during the gasification process include: ； ； Where [x] is the volume fraction of each component in the syngas at the gasifier outlet, Keq1=f(T) is the equilibrium constant of the CO-H2 conversion reaction, Keq2=g(T) is the equilibrium constant of the methanation reaction, and T is the temperature at the gasifier slag inlet.

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