Method for determining the coking capacity of coal based on colloidal property parameters

Abstract

This invention relates to the field of coal dry distillation and coking technology, and particularly to a method for determining the coking capacity of coal based on plastic mass characteristic parameters. The method includes steps S1: collecting a coal sample and heating it at a first heating rate; step S2: heating the coal sample at a second heating rate while the current dry distillation process is in the second stage; step S3: in the second stage, analyzing the synchronicity between the maximum plastic mass thickness and the maximum volatile matter release rate, and determining whether to reduce the second heating rate based on the analysis results and the expansion coefficient; step S4: in the third stage, calculating the coking capacity coefficient based on the amount of plastic mass generated, the softening temperature range, and the maximum plasticity value. This invention intelligently monitors the dry distillation process of bituminous coal, combines actual data for feedback adjustments, and further optimizes the coking process. By considering the synchronicity between the maximum plastic mass thickness and the maximum volatile matter release rate, the heating rate is optimized to achieve a stable improvement in coke quality.

Description

Technical Field

[0001] This invention relates to the field of coal dry distillation and coking technology, and in particular to a method for determining the coking capacity of coal based on colloidal property parameters. Background Technology

[0002] In the coal coking process, the heating rate is a critical process parameter. Rapid heating may lead to the excessive release of volatiles generated during coal pyrolysis, resulting in increased porosity in the coke and affecting its density. Therefore, rationally controlling the heating rate is particularly important. By appropriately adjusting the heating rate, the density and mechanical strength of the coke can be optimized. Especially in large-scale coking production, optimizing these parameters can not only improve product quality but also reduce energy consumption and increase economic efficiency. How to control the heating rate to significantly improve coke performance, and how to fully consider parameters such as expansion pressure during production to achieve stable improvement in coke quality, are increasingly becoming topics of interest for researchers.

[0003] Chinese patent document CN102967565A discloses a method for determining the tar content in coal gas. The method involves passing coal gas through a buffer bottle at a flow rate of 3.5-4 liters / minute to alleviate the tar, then introducing it into an absorption bottle containing an absorbent. The absorbent absorbs the tar in the coal gas, and the mixture is centrifuged at 40-50 rpm to separate an oil layer and a water layer. The oil layer sample is placed in a cuvette, and its absorbance (A1) is measured at a wavelength of 320 nm to determine the tar content in the coal gas. This demonstrates that existing coal coking capacity measurement technologies lack intelligent monitoring of the dry distillation process and the ability to combine multiple feedback data to real-time control the heating rate, resulting in low efficiency in large-scale coking production. Summary of the Invention

[0004] Therefore, this invention provides a method for determining the coking capacity of coal based on the characteristic parameters of the colloid, in order to overcome the problem in the prior art that the lack of intelligent monitoring of the dry distillation process leads to unstable product quality due to excessively rapid heating rate.

[0005] To achieve the above objectives, the present invention provides a method for determining the coking capacity of coal based on colloidal property parameters, comprising:

[0006] Step S1, the first stage, collect coal samples, heat the coal samples at the first heating rate, monitor the real-time volatile matter content of the coal samples in real time during the heating process, determine the real-time volatile matter release rate based on the real-time volatile matter release rate, and determine whether to reduce the first heating rate based on the real-time volatile matter release rate and the real-time expansion pressure.

[0007] Step S2: Determine the current carbonization process or reduce the first heating rate based on the changing trend of the real-time volatile matter release rate; and heat the coal sample at the second heating rate when the current carbonization process is in the second stage.

[0008] Step S3: In the second stage, analyze the synchronicity between the maximum colloidal thickness and the maximum volatile release rate, and determine whether to reduce the second heating rate based on the analysis results and the expansion coefficient.

[0009] Step S4: Based on the positive or negative determination of the expansion coefficient, proceed to the third stage. In the third stage, calculate the amount of gelatinous body generated based on the current temperature coefficient, the current adhesive force, and the maximum expansion coefficient. Calculate the coking capacity coefficient based on the amount of gelatinous body generated, the softening temperature range, and the maximum plasticity value.

[0010] Furthermore, determining whether to reduce the first heating rate based on the real-time volatile release rate and the real-time expansion pressure includes:

[0011] The real-time volatile matter release rate was compared with the standard volatile matter release rate.

[0012] If the real-time volatile matter release rate is greater than the standard volatile matter release rate, the heating rate is considered normal.

[0013] If the real-time volatile matter release rate is less than or equal to the standard volatile matter release rate, the resulting real-time expansion pressure is analyzed, and based on the analysis results, it is determined whether the heating rate should be reduced to the first heating rate.

[0014] Specifically, when the real-time expansion pressure is determined to be greater than the first standard expansion pressure, the first heating rate is reduced.

[0015] When the real-time expansion pressure is determined to be less than or equal to the first standard expansion pressure, the trend of change in the real-time volatile release rate continues to be monitored.

[0016] Furthermore, determining the current distillation process or reducing the first heating rate based on the changing trend of the real-time volatile release rate includes:

[0017] Plot the real-time volatile matter release rate over time, obtain the first real-time slope of the curve, and compare the first standard slope with the first real-time slope.

[0018] If the first real-time slope is less than or equal to the first standard slope, the current carbonization process is determined to have entered the second stage.

[0019] If the first real-time slope is greater than the first standard slope, reduce the first heating rate.

[0020] Furthermore, determining the real-time volatile release rate based on the real-time evaporation rate includes,

[0021] Obtain the initial coal sample weight, the current coal sample weight, and the current ash content weight;

[0022] Calculate the initial coal sample weight minus the current coal sample weight to obtain the first coal sample difference;

[0023] Calculate the difference between the initial coal sample weight and the current ash weight to obtain the second coal sample weight;

[0024] The real-time volatile matter content is obtained by calculating the quotient of the difference between the first and second coal samples.

[0025] The real-time volatile release rate is obtained by differentiating the real-time volatile amount.

[0026] Furthermore, in the second stage, the synchronicity between the maximum colloidal thickness and the maximum volatile matter release rate was analyzed, including...

[0027] In the second stage, the release rate of volatiles was monitored in real time, and the thickness of the colloidal body was measured.

[0028] Time series data of volatile release rate were recorded as first time series data, and time series data of colloidal thickness were recorded as second time series data.

[0029] Maximum values ​​were extracted from the first and second time series data to obtain the maximum colloidal thickness and the maximum volatile release rate.

[0030] Calculate the actual correlation between the maximum colloidal thickness and the maximum volatile matter release rate, compare the actual correlation with the standard correlation, and determine the synchronicity between the maximum colloidal thickness and the maximum volatile matter release rate based on the comparison.

[0031] If the actual correlation is less than the standard correlation, it is determined that the maximum colloidal thickness and the maximum volatile matter release rate are not synchronized, and the second heating rate is reduced.

[0032] If the actual correlation is greater than or equal to the standard correlation, the maximum colloidal thickness and the maximum volatile release rate are considered to be synchronized.

[0033] Furthermore, determining whether to reduce the second heating rate based on the analysis results and the real-time expansion coefficient includes:

[0034] Calculate the ratio of the portion of the current material layer height exceeding the initial material layer height to the initial material layer height to obtain the real-time expansion coefficient;

[0035] The sign of the real-time expansion coefficient is determined.

[0036] If the real-time expansion coefficient is positive, perform a permeability analysis on the coal based on the current expansion pressure, and determine whether to reduce the second heating rate based on the permeability analysis results.

[0037] If the real-time expansion coefficient is negative, determine whether the current dry distillation process has entered the third stage based on the continuous monitoring results.

[0038] Furthermore, determining whether to reduce the second heating rate based on the air permeability analysis results includes:

[0039] Compare the standard expansion pressure with the current expansion pressure.

[0040] If the current expansion pressure is less than or equal to the standard expansion pressure, the second heating rate is considered normal.

[0041] If the current expansion pressure is greater than the standard expansion pressure, reduce the second heating rate.

[0042] Furthermore, determining whether the current distillation process has entered the third stage based on continuous monitoring results includes:

[0043] Plot the expansion pressure change curve over time, obtain the second real-time slope of the curve, and analyze the trend of the curve based on the second real-time slope.

[0044] If the second real-time slope is less than or equal to the second standard slope, the current dry distillation process is determined to have entered the third stage.

[0045] Furthermore, the calculation of the amount of colloidal body formed based on the current temperature coefficient, current adhesive force, and maximum expansion coefficient includes,

[0046] Calculate the current temperature coefficient based on the current distillation temperature and the maximum distillation temperature;

[0047] The current adhesive force of the colloidal body was measured using a rheometer.

[0048] Calculate the maximum expansion coefficient based on the coal bed height;

[0049] The formula for calculating the amount of colloidal body formation is: G = k × (Tc × α + Cb × β + Ep × γ);

[0050] Where G is the amount of gel formed, k is the empirical coefficient, Tc is the current temperature coefficient, α is the weighting coefficient of the current temperature coefficient, Cb is the current adhesive force, β is the weighting coefficient of the current adhesive force, Ep is the maximum expansion coefficient, and γ is the weighting coefficient of the maximum expansion coefficient.

[0051] Furthermore, the calculation of the coking capacity coefficient based on the amount of colloidal material generated, the softening temperature range, and the maximum plasticity value includes:

[0052] The product of the amount of colloid formed and the softening temperature range, and the ratio of this product to the maximum plasticity value, are used to obtain the coking capacity coefficient, wherein...

[0053] The difference between the initial softening temperature and the curing temperature of the colloidal material is taken as the softening temperature range of the colloidal material.

[0054] The maximum plasticity value is the maximum plasticity value of the colloidal body generated in the third stage.

[0055] Compared with the prior art, the beneficial effects of the present invention are that by intelligently monitoring the carbonization process of bituminous coal and making feedback adjustments based on actual data, the coking process can be further optimized. Taking into account the synchronicity of the maximum plastic body thickness and the maximum volatile matter release rate, the heating rate is optimized to achieve a stable improvement in coke quality. By monitoring the performance of coke during the carbonization process and making feedback adjustments based on actual data, product quality is improved, energy consumption is reduced, and the coking process is optimized.

[0056] Furthermore, by analyzing the synchronicity between the maximum colloidal thickness and the maximum volatile matter release rate, we can assess whether the pyrolysis behavior of the coal sample is coordinated under different heating rates. If the trends of the two are consistent, it indicates that the pyrolysis process of the coal sample is effective at that heating rate; otherwise, it is necessary to optimize the heating rate to ensure that the degree of coalification of the coal sample is suitable for the current heating rate, thereby ensuring a stable improvement in coke quality and thus improving the utilization efficiency of coal. Attached Figure Description

[0057] Figure 1 This is a schematic flowchart of the method for determining the coking capacity of coal based on the colloidal property parameters of the present invention.

[0058] Figure 2 This is a schematic diagram of the process for determining the real-time volatile release rate based on the real-time volatile amount in an embodiment of the present invention;

[0059] Figure 3 This is a schematic flowchart illustrating the synchronicity between the maximum colloidal thickness and the maximum volatile matter release rate in an embodiment of the present invention.

[0060] Figure 4 This is a schematic diagram illustrating the process for calculating the amount of colloidal body generated in an embodiment of the present invention. Detailed Implementation

[0061] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0062] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0063] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0064] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0065] Please see Figure 1 The diagram shown is a flowchart illustrating the method for determining the coking capacity of coal based on colloidal property parameters according to the present invention. The present invention provides a method for determining the coking capacity of coal based on colloidal property parameters, comprising:

[0066] Step S1, the first stage, collect coal samples, heat the coal samples at the first heating rate, monitor the real-time volatile matter content of the coal samples in real time during the heating process, determine the real-time volatile matter release rate based on the real-time volatile matter release rate, and determine whether to reduce the first heating rate based on the real-time volatile matter release rate and the real-time expansion pressure.

[0067] Step S2: Determine the current carbonization process or reduce the first heating rate based on the changing trend of the real-time volatile matter release rate; and heat the coal sample at the second heating rate when the current carbonization process is in the second stage.

[0068] Step S3: In the second stage, analyze the synchronicity between the maximum colloidal thickness and the maximum volatile release rate, and determine whether to reduce the second heating rate based on the analysis results and the expansion coefficient.

[0069] Step S4: Based on the positive or negative determination of the expansion coefficient, proceed to the third stage. In the third stage, calculate the amount of gelatinous body generated based on the current temperature coefficient, the current adhesive force, and the maximum expansion coefficient. Calculate the coking capacity coefficient based on the amount of gelatinous body generated, the softening temperature range, and the maximum plasticity value.

[0070] In this embodiment, the coal sample is bituminous coal. The bituminous coal dry distillation process is divided into three stages, including the first stage, the second stage, and the third stage. The first stage is a degradation reaction involving dehydration and degassing. During this process, the coal particles begin to soften, and a liquid film containing bubbles appears on the surface. The second stage is a violent depolymerization and decomposition reaction. When the temperature is further increased to 500℃-550℃, the outer layer of the liquid film begins to solidify to form semi-coke, while the middle layer remains a colloidal substance and the interior is unchanged coal. This process takes a short time. The third stage is a condensation reaction in which the semi-coke slowly transforms into coke. Cracks quickly appear on the outer shell of the semi-coke, and the colloidal substance flows out from the inside through the cracks under gas pressure. This process continues until the interior of the coal particles is completely transformed into semi-coke.

[0071] By intelligently monitoring the carbonization process of bituminous coal and making feedback adjustments based on actual data, the coking process can be further optimized. Taking into account the synchronicity between the maximum plastic body thickness and the maximum volatile matter release rate, the heating rate is optimized to achieve a stable improvement in coke quality. The performance of coke is monitored during the carbonization process, and feedback adjustments are made based on actual data to improve product quality, reduce energy consumption, and optimize the coking process.

[0072] Specifically, determining whether to reduce the first heating rate based on the real-time volatile release rate and the real-time expansion pressure includes:

[0073] The real-time volatile matter release rate was compared with the standard volatile matter release rate.

[0074] If the real-time volatile matter release rate is greater than the standard volatile matter release rate, the heating rate is considered normal.

[0075] If the real-time volatile matter release rate is less than or equal to the standard volatile matter release rate, the resulting real-time expansion pressure is analyzed, and based on the analysis results, it is determined whether the heating rate should be reduced to the first heating rate.

[0076] Specifically, when it is determined that the real-time expansion pressure is greater than the first standard expansion pressure, the first heating rate is reduced to the first corrected heating rate.

[0077] Wherein, the first corrected heating rate is the product of the first heating rate and the first correction step size, the first correction step size is the difference between 1 and the first correction degree, and the first correction degree is the ratio of the portion of the real-time expansion pressure that exceeds the first standard expansion pressure to the real-time expansion pressure; at the same time, the first corrected heating rate must be greater than or equal to the minimum heating rate.

[0078] When the real-time expansion pressure is determined to be less than or equal to the first standard expansion pressure, the trend of change in the real-time volatile release rate continues to be monitored.

[0079] In this embodiment, the minimum heating rate is 0.1 MPa; the first standard expansion pressure represents the highest gas pressure in the first stage of dry distillation, which is set to 0.3 MPa. The setting value is affected by the structure and tolerance of the dry distillation equipment. If the equipment can withstand higher pressure, the standard expansion pressure can be appropriately increased; otherwise, it needs to be reduced. For example, for some equipment with strong pressure resistance, the standard expansion pressure can be set to 0.4 MPa.

[0080] Because the temperature is relatively low and the expansion pressure is relatively small in the first stage of dry distillation, while the heating rate is relatively fast, the expansion pressure will increase rapidly. Therefore, by monitoring the expansion pressure, the heating rate can be optimized. When the real-time expansion pressure is determined to be greater than the first standard expansion pressure, it indicates that the heating rate is too fast, and the heating rate needs to be reduced in time to ensure the stable improvement of coke quality.

[0081] Specifically, determining the current distillation process or reducing the first heating rate based on the changing trend of the real-time volatile release rate includes:

[0082] Plot the real-time volatile matter release rate over time, obtain the first real-time slope of the curve, and compare the first standard slope with the first real-time slope.

[0083] If the first real-time slope is less than or equal to the first standard slope, the current carbonization process is determined to have entered the second stage.

[0084] If the first real-time slope is greater than the first standard slope, reduce the first heating rate and adjust it to the second corrected heating rate.

[0085] Wherein, the second corrected heating rate is the product of the first heating rate and the second correction step size, the second correction step size is the difference between 1 and the second correction degree, and the second correction degree is the ratio of the portion of the first real-time slope that exceeds the first standard slope to the first real-time slope; at the same time, the second corrected heating rate must be greater than or equal to the minimum heating rate.

[0086] In this embodiment, the first standard slope indicates that the volatile release rate decreases to a small value. If the first real-time slope is determined to be less than or equal to the first standard slope, it indicates that the volatiles have completed the first stage of dehydration and degassing after a period of time, and the rate of volatile release tends to stabilize. The standard slope is set to 0.01% / min. 2 .

[0087] See Figure 2 As shown, it is a schematic diagram of the process of determining the real-time volatile release rate based on the real-time volatile amount in an embodiment of the present invention;

[0088] Specifically, determining the real-time volatile release rate based on the real-time evaporation rate includes,

[0089] Step S1001: Obtain the initial coal sample weight, the current coal sample weight, and the current ash content weight;

[0090] Step S1002: Calculate the initial coal sample weight minus the current coal sample weight to obtain the first coal sample difference;

[0091] Step S1003: Calculate the initial coal sample weight minus the current ash weight to obtain the second coal sample difference;

[0092] Step S1004: Calculate the quotient of the difference between the first coal sample and the difference between the second coal sample to obtain the real-time volatile matter content;

[0093] Step S1005: Differentiate the real-time volatile amount to obtain the real-time volatile release rate, in units of % / min.

[0094] Figure 3 This is a schematic flowchart illustrating the synchronicity between the maximum colloidal thickness and the maximum volatile matter release rate in an embodiment of the present invention.

[0095] Specifically, in the second stage, the analysis of the synchronicity between the maximum colloidal thickness and the maximum volatile matter release rate includes,

[0096] Step S3001: In the second stage, the release rate of volatiles is monitored in real time, and the thickness of the colloidal body is measured.

[0097] Step S3002: Record the time series data of volatile release rate as the first time series data, and record the time series data of colloidal thickness as the second time series data;

[0098] Step S3003: Extract the maximum value from the first time series data and the second time series data to obtain the maximum colloidal thickness and the maximum volatile release rate;

[0099] Step S3004: Calculate the actual correlation between the maximum colloidal thickness and the maximum volatile matter release rate, compare the actual correlation with the standard correlation, and determine the synchronicity between the maximum colloidal thickness and the maximum volatile matter release rate based on the comparison.

[0100] If the actual correlation is less than the standard correlation, it is determined that the maximum colloidal thickness and the maximum volatile release rate are not synchronized, the second heating rate is reduced, and then the third corrected heating rate is reduced.

[0101] If the actual correlation is greater than or equal to the standard correlation, the maximum colloidal thickness and the maximum volatile matter release rate are determined to be synchronous.

[0102] The third corrected heating rate is the product of the second heating rate and the third corrected step size. The third corrected step size is the difference between 1 and the third corrected degree. The third corrected degree is the ratio of the portion of the standard correlation that exceeds the actual correlation to the standard correlation. At the same time, the third corrected heating rate must be greater than or equal to the minimum heating rate.

[0103] In this embodiment, the release rate of volatiles is monitored in real time using a gas analyzer, and the release time and rate data are recorded. The thickness of the colloidal body is measured using a colloidal body thickness measuring instrument. Alternatively, the change in colloidal layer thickness at different carbonization moments can be determined based on the change in probe resistance with displacement measured during the carbonization process. Thickness data at different time points are recorded, and the data on volatile release rate and colloidal body thickness are smoothed to eliminate noise. Based on the first and second time series data, the maximum value of the volatile release rate and its corresponding time point are identified, as well as the maximum value of the colloidal body thickness and its corresponding time point. The real-time time difference between the maximum colloidal body thickness and the maximum volatile release rate is calculated. The real-time time difference is compared with the standard time difference. When the real-time time difference is greater than the standard time difference, the second heating rate is reduced, and then reduced to the fourth corrected heating rate. When the real-time time difference is less than or equal to the standard time difference, the relationship between the two is analyzed using the Pearson correlation coefficient to obtain the actual correlation. The standard correlation represents the value corresponding to the expected level of synchronicity, which is set to 0.8. The formula for calculating the actual correlation is...

[0104]

[0105] Where R is the actual correlation, X i Y represents the thickness of the colloidal mass corresponding to the i-th time series. i Let be the volatile release rate corresponding to the i-th time series. This represents the average thickness of the colloidal mass. This represents the average rate of volatile release.

[0106] For example, record several time series: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;

[0107] The corresponding volatile matter release rates (unit: g / s) are: 0.1, 0.3, 0.5, 0.7, 1.0, 0.8, 0.6, 0.4, 0.2, 0.1;

[0108] The corresponding gel thicknesses (unit: mm) are: 0.2, 0.4, 0.6, 0.8, 1.2, 1.0, 0.9, 0.7, 0.5, 0.3;

[0109] The maximum volatile release rate was 1.0 g / s, occurring at time 4 seconds; the maximum colloidal thickness was 1.2 mm, occurring at time 5 seconds; the real-time time difference was 1 second, and the calculated actual correlation was 0.98, indicating that the two were synchronized.

[0110] The fourth correction heating rate is the product of the second heating rate and the fourth correction step size. The fourth correction step size is the difference between 1 and the fourth correction degree. The fourth correction degree is the ratio of the portion of the real-time time difference that exceeds the standard time difference to the real-time time difference. At the same time, the fourth correction heating rate must be greater than or equal to the minimum heating rate.

[0111] By analyzing the synchronicity between the maximum colloid thickness and the maximum volatile matter release rate, we can assess whether the pyrolysis behavior of coal samples is coordinated under different heating rates. If the trends of the two are consistent, it indicates that the pyrolysis process of the coal sample is effective at that heating rate. Otherwise, it is necessary to optimize the heating rate to ensure that the degree of coalification of the coal sample is suitable for the current heating rate, thereby ensuring a stable improvement in coke quality and thus improving the utilization efficiency of coal.

[0112] Specifically, determining whether to reduce the second heating rate based on analysis results and real-time expansion coefficients includes:

[0113] Calculate the ratio of the portion of the current material layer height exceeding the initial material layer height to the initial material layer height to obtain the real-time expansion coefficient;

[0114] The sign of the real-time expansion coefficient is determined.

[0115] If the real-time expansion coefficient is positive, perform a permeability analysis on the coal based on the current expansion pressure, and determine whether to reduce the second heating rate based on the permeability analysis results.

[0116] If the real-time expansion coefficient is negative, determine whether the current dry distillation process has entered the third stage based on the continuous monitoring results.

[0117] Due to the presence of colloids, the volatile matter in coal exhibits a "gas trapping" phenomenon. This is caused by the low permeability of the softening layer and the semi-coke layer, which creates an impermeable layer that hinders the volatile matter release. This impermeability depends on the quality of the colloids. Poor permeability leads to a smaller volatile matter release rate and a larger expansion pressure. Therefore, by monitoring and analyzing the expansion pressure, the heating rate can be precisely controlled.

[0118] Specifically, determining whether to reduce the second heating rate based on the results of air permeability analysis includes:

[0119] Compare the second standard expansion pressure with the current expansion pressure.

[0120] If the current expansion pressure is less than or equal to the second standard expansion pressure, the second heating rate is considered normal.

[0121] If the current expansion pressure is greater than the second standard expansion pressure, reduce the second heating rate and reduce it to the fifth corrected heating rate.

[0122] The fifth corrected heating rate is the product of the second heating rate and the fifth corrected step size. The fifth corrected step size is the difference between 1 and the fifth corrected degree. The fifth corrected degree is the ratio of the portion of the current expansion pressure that exceeds the second standard expansion pressure to the current expansion pressure. At the same time, the fifth corrected heating rate must be greater than or equal to the minimum heating rate.

[0123] In this embodiment, the second standard expansion pressure represents the highest gas pressure that the plastic layer formed during the dry distillation process of the coal sample can withstand. It is a threshold for determining whether the formation of the plastic layer and the accumulation of gas are in a safe state. The set value is related to the type of coal sample and is generally set between 0.5 MPa and 1.0 MPa. Preferably, the standard expansion pressure is set to 0.7 MPa, which can be adjusted according to the actual type of coal sample.

[0124] Specifically, determining whether the current distillation process has entered the third stage based on continuous monitoring results includes:

[0125] Plot the expansion pressure change curve over time, obtain the second real-time slope of the curve, and analyze the trend of the curve based on the second real-time slope.

[0126] If the second real-time slope is less than or equal to the second standard slope, the current dry distillation process is determined to have entered the third stage.

[0127] If the second real-time slope is greater than the second standard slope, it is determined that the plastic layer is still shrinking.

[0128] In this embodiment, the second standard slope indicates that the expansion pressure has decreased to a small value. If the second real-time slope is determined to be less than or equal to the second standard slope, it indicates that the expansion pressure tends to stabilize after a period of time. The standard slope is set to 0.1 MPa / s.

[0129] See Figure 4 As shown, it is a schematic diagram of the process for calculating the amount of colloidal body generated in an embodiment of the present invention;

[0130] Specifically, the calculation of the amount of colloidal body formed based on the current temperature coefficient, current adhesive force, and maximum expansion coefficient includes:

[0131] Step S4001: Calculate the current temperature coefficient based on the current distillation temperature and the maximum distillation temperature;

[0132] Step S4002: Measure the current adhesive force of the colloidal body using a rheometer;

[0133] Step S4003: Calculate the maximum expansion coefficient based on the coal bed height;

[0134] Step S4004: Calculate the amount of colloidal body generated according to the formula for calculating the amount of colloidal body generated;

[0135] The formula for calculating the amount of colloidal body formation is: G = k × (Tc × α + Cb × β + Ep × γ);

[0136] Where G is the amount of gel formed, k is the empirical coefficient, Tc is the current temperature coefficient, α is the weighting coefficient of the current temperature coefficient, Cb is the current adhesive force, β is the weighting coefficient of the current adhesive force, Ep is the maximum expansion coefficient, and γ is the weighting coefficient of the maximum expansion coefficient; k = 10, α = 0.4, β = 0.3, γ = 0.3.

[0137] In this embodiment, the current temperature coefficient is the ratio of the current carbonization temperature to the maximum carbonization temperature. The maximum expansion coefficient is the maximum value measured experimentally during the middle stage of carbonization, based on the coal bed height, and recorded at that stage. This value is then used as the current expansion coefficient at the end of carbonization. By detecting parameters during the coal carbonization process, the amount of colloid formed can be effectively calculated, providing a basis for assessing the coking capacity of coal. For example, if the current temperature coefficient is measured to be 1.2, the current binding force is 0.8, and the current expansion coefficient is 0.5, then the amount of colloid formed is:

[0138] G=10×(1.2×0.4+0.8×0.3+0.5×0.3)=8.7;

[0139] The initial softening temperature of the gel was measured to be 250℃, the curing temperature to be 300℃, the softening temperature range to be 300℃-250℃=50℃, and the maximum plasticity value to be 12. Therefore, the coking capacity coefficient is 8.7×50 / 12=435 / 12≈36.25.

[0140] Specifically, the calculation of the coking capacity coefficient based on the amount of colloidal material generated, the softening temperature range, and the maximum plasticity value includes:

[0141] The product of the amount of colloid formed and the softening temperature range, and the ratio of this product to the maximum plasticity value, are used to obtain the coking capacity coefficient, wherein...

[0142] The difference between the initial softening temperature and the curing temperature of the colloidal material is taken as the softening temperature range of the colloidal material.

[0143] The maximum plasticity value is the maximum plasticity value of the colloidal body generated in the third stage.

[0144] By comprehensively considering multiple key parameters such as the amount of colloid formation, softening temperature range, and maximum plasticity, a multi-dimensional coal coking capacity assessment model is established. A single indicator parameter often cannot fully reflect the coking capacity of coal because the microstructure and molecular structure of different coal samples vary significantly, leading to different chemical and physical changes during pyrolysis, thus affecting the final microstructure of coke. In actual coking processes, coal heating is usually non-uniform and influenced by various factors, such as heating rate and carbonization temperature. These factors collectively affect the fluidity of colloids, thereby influencing the physicochemical properties of coke. Therefore, a single parameter cannot fully characterize the coking properties of coal. Since the ability to form colloids, as well as the quantity and properties of these colloids, are crucial to coal bonding and coking, a systematic analysis of colloid characteristic parameters is necessary to more accurately capture the behavioral characteristics of coal during pyrolysis. The amount of colloid formed reflects the coal's ability to transform into colloids during pyrolysis, and also reflects the changes and cumulative total amount of colloids throughout the entire dry distillation process. The softening temperature range indicates the fluidity and plasticity characteristics of the colloids, while the maximum plasticity value directly affects the mechanical strength and thermal stability of coke. Therefore, a method for determining the coking capacity of coal based on colloid characteristic parameters can establish a more comprehensive and accurate predictive model by comprehensively analyzing these parameters. This model can not only better reflect the coking properties of different coal samples but also provide a scientific basis for optimizing coking processes, ensuring a stable improvement in coke quality. This method can achieve efficient utilization of coal and promote the sustainable development of the coking industry.

[0145] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0146] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for determining the coking capacity of coal based on colloidal property parameters, characterized in that, include, Step S1, the first stage, collect coal samples, heat the coal samples at the first heating rate, monitor the real-time volatile matter content of the coal samples in real time during the heating process, determine the real-time volatile matter release rate based on the real-time volatile matter release rate, and determine whether to reduce the first heating rate based on the real-time volatile matter release rate and the real-time expansion pressure. Step S2: Determine the current carbonization process or reduce the first heating rate based on the changing trend of the real-time volatile matter release rate; and heat the coal sample at the second heating rate when the current carbonization process is in the second stage. Step S3: In the second stage, analyze the synchronicity between the maximum colloidal thickness and the maximum volatile release rate, and determine whether to reduce the second heating rate based on the analysis results and the expansion coefficient. Step S4: Based on the positive or negative determination of the expansion coefficient, proceed to the third stage; and in the third stage, calculate the amount of gelatinous body generated based on the current temperature coefficient, the current adhesive force, and the maximum expansion coefficient; and calculate the coking capacity coefficient based on the amount of gelatinous body generated, the softening temperature range, and the maximum plasticity value. The calculation of the coking capacity coefficient includes: The product of the amount of colloid formed and the softening temperature range, and the ratio of this product to the maximum plasticity value, are used to obtain the coking capacity coefficient, wherein... The difference between the initial softening temperature and the curing temperature of the colloidal material is taken as the softening temperature range of the colloidal material. The maximum plasticity value is the maximum plasticity value of the colloidal body generated in the third stage.

2. The method for determining the coking capacity of coal based on colloidal characteristic parameters according to claim 1, characterized in that, Determining whether to reduce the first heating rate based on real-time volatile release rate and real-time expansion pressure includes: The real-time volatile matter release rate was compared with the standard volatile matter release rate. If the real-time volatile matter release rate is greater than the standard volatile matter release rate, the heating rate is considered normal. If the real-time volatile matter release rate is less than or equal to the standard volatile matter release rate, the resulting real-time expansion pressure is analyzed, and based on the analysis results, it is determined whether the heating rate should be reduced to the first heating rate. Specifically, when the real-time expansion pressure is determined to be greater than the first standard expansion pressure, the first heating rate is reduced. When the real-time expansion pressure is determined to be less than or equal to the first standard expansion pressure, the trend of change in the real-time volatile release rate continues to be monitored.

3. The method for determining the coking capacity of coal based on colloidal characteristic parameters according to claim 2, characterized in that, Determining the current distillation process or reducing the first heating rate based on the changing trend of the real-time volatile release rate includes: Plot the real-time volatile matter release rate over time, obtain the first real-time slope of the curve, and compare the first standard slope with the first real-time slope. If the first real-time slope is less than or equal to the first standard slope, the current carbonization process is determined to have entered the second stage. If the first real-time slope is greater than the first standard slope, reduce the first heating rate.

4. The method for determining the coking capacity of coal based on colloidal characteristic parameters according to claim 2, characterized in that, Determining the real-time volatile release rate based on real-time volatile volume includes: Obtain the initial coal sample weight, the current coal sample weight, and the current ash content weight; Calculate the initial coal sample weight minus the current coal sample weight to obtain the first coal sample difference; Calculate the difference between the initial coal sample weight and the current ash weight to obtain the second coal sample weight; The real-time volatile matter content is obtained by calculating the quotient of the difference between the first and second coal samples. The real-time volatile release rate is obtained by differentiating the real-time volatile amount.

5. The method for determining the coking capacity of coal based on colloidal characteristic parameters according to claim 2, characterized in that, In the second stage, the synchronicity between the maximum colloidal thickness and the maximum volatile matter release rate was analyzed, including... In the second stage, the release rate of volatiles was monitored in real time, and the thickness of the colloidal body was measured. Time series data of volatile release rate were recorded as first time series data, and time series data of colloidal thickness were recorded as second time series data. Maximum values ​​were extracted from the first and second time series data to obtain the maximum colloidal thickness and the maximum volatile release rate. Calculate the actual correlation between the maximum colloidal thickness and the maximum volatile matter release rate, compare the actual correlation with the standard correlation, and determine the synchronicity between the maximum colloidal thickness and the maximum volatile matter release rate based on the comparison. If the actual correlation is less than the standard correlation, it is determined that the maximum colloidal thickness and the maximum volatile matter release rate are not synchronized, and the second heating rate is reduced. If the actual correlation is greater than or equal to the standard correlation, the maximum colloidal thickness and the maximum volatile release rate are considered to be synchronized.

6. The method for determining the coking capacity of coal based on colloidal characteristic parameters according to claim 5, characterized in that, Determining whether to reduce the second heating rate based on the analysis results and the real-time expansion coefficient includes: Calculate the ratio of the portion of the current material layer height exceeding the initial material layer height to the initial material layer height to obtain the real-time expansion coefficient; The sign of the real-time expansion coefficient is determined. If the real-time expansion coefficient is positive, perform a permeability analysis on the coal based on the current expansion pressure, and determine whether to reduce the second heating rate based on the permeability analysis results. If the real-time expansion coefficient is negative, determine whether the current dry distillation process has entered the third stage based on the continuous monitoring results.

7. The method for determining the coking capacity of coal based on colloidal characteristic parameters according to claim 6, characterized in that, Determining whether to reduce the second heating rate based on the results of air permeability analysis includes: Compare the standard expansion pressure with the current expansion pressure. If the current expansion pressure is less than or equal to the standard expansion pressure, the second heating rate is considered normal. If the current expansion pressure is greater than the standard expansion pressure, reduce the second heating rate.

8. The method for determining the coking capacity of coal based on colloidal characteristic parameters according to claim 6, characterized in that, Determining whether the current carbonization process has entered the third stage based on continuous monitoring results includes: Plot the expansion pressure change curve over time, obtain the second real-time slope of the curve, and analyze the trend of the curve based on the second real-time slope. If the second real-time slope is less than or equal to the second standard slope, the current dry distillation process is determined to have entered the third stage.

9. The method for determining the coking capacity of coal based on colloidal characteristic parameters according to claim 1, characterized in that, The amount of colloidal mass formed is calculated based on the current temperature coefficient, current adhesive force, and maximum expansion coefficient, including: Calculate the current temperature coefficient based on the current distillation temperature and the maximum distillation temperature; The current adhesive force of the colloidal body was measured using a rheometer. Calculate the maximum expansion coefficient based on the coal bed height; The formula for calculating the amount of colloidal body formation is: G = k × (Tc × α + Cb × β + Ep × γ); Where G is the amount of gel formed, k is the empirical coefficient, Tc is the current temperature coefficient, α is the weighting coefficient of the current temperature coefficient, Cb is the current adhesive force, β is the weighting coefficient of the current adhesive force, Ep is the maximum expansion coefficient, and γ is the weighting coefficient of the maximum expansion coefficient.

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