A method for determining the thermal reaction performance of coke and related equipment

Abstract

This application discloses a method and related equipment for determining the hot-state reaction performance of coke, relating to the field of coke reaction technology. The method includes: acquiring experimental data on the reaction of coke samples with carbon dioxide, wherein the experimental data includes multiple temperature points and the corresponding weight loss of coke at each temperature point; based on the experimental data, determining a coke reaction curve to characterize the change in coke weight loss with temperature; and based on the coke reaction curve, determining the maximum curvature of the coke reaction curve to characterize the hot-state reaction performance of coke. This application, by constructing a new evaluation index for the hot-state reaction performance of coke, can more comprehensively and accurately reflect the reaction behavior characteristics of coke under the complex thermal environment of an actual blast furnace.

Description

Technical Field

[0001] This application relates to the field of coke reaction technology, and in particular to a method and related equipment for determining the hot reaction performance of coke. Background Technology

[0002] In modern blast furnace ironmaking processes, the hot reactivity of coke is a key indicator. Currently, it is mainly characterized by the degree of solubility reaction at a fixed temperature (e.g., 1100℃). However, a continuous temperature gradient exists within the blast furnace, and the reactivity of coke changes non-linearly with temperature, leading to one-sided results from single-point tests. Although existing variable-temperature testing methods can obtain continuous weight loss data of coke within a temperature range, the reaction process is affected by complex factors such as ash content, and the data is discrete and susceptible to measurement errors, making it difficult to determine the performance changes of coke throughout the entire hot reaction process within the blast furnace. Therefore, a method for determining the hot reactivity of coke is urgently needed to solve the aforementioned technical problems. Summary of the Invention

[0003] The summary section introduces a series of simplified concepts, which will be further explained in detail in the detailed description section. This summary section is not intended to limit the key and essential technical features of the claimed technical solutions, nor is it intended to determine the scope of protection of the claimed technical solutions.

[0004] In a first aspect, this application provides a method for determining the hot-state reaction properties of coke, comprising: The experimental data on the reaction of coke samples with carbon dioxide were obtained, wherein the experimental data included multiple temperature points and the weight loss of coke at each temperature point; Based on the experimental data, a coke reaction curve was determined to characterize the change in coke weight loss with temperature. Based on the coke reaction curve, the maximum curvature of the coke reaction curve is determined to characterize the hot-state reaction performance of coke.

[0005] In some embodiments, obtaining experimental data on the reaction between coke samples and carbon dioxide includes: Based on a preset acquisition interval, the current temperature and current weight of the coke sample are acquired during the heating process. Based on the initial weight and the current weight of the coke sample, determine the coke weight loss at each sampling moment; The test data are determined based on the current temperature and the corresponding coke weight loss.

[0006] In some embodiments, determining the coke reaction curve to characterize the change in coke weight loss with temperature based on the experimental data includes: A preset fitting algorithm was used to perform function fitting on the temperature points and corresponding coke weight loss in the experimental data to determine the fitting function. The coke reaction curve is determined based on the fitting function.

[0007] In some embodiments, determining the maximum curvature of the coke reaction curve based on the coke reaction curve includes: Based on the coke reaction curve, the first and second derivative information of the coke reaction curve at multiple candidate temperature points is determined; Based on the preset curvature calculation formula, the first derivative information, and the second derivative information, the candidate curvature value corresponding to each candidate temperature point is determined; The maximum curvature value is determined based on the candidate curvature values ​​corresponding to the multiple candidate temperature points.

[0008] In some embodiments, the step of using a preset fitting algorithm to perform function fitting on the temperature points and corresponding coke weight loss in the test data, and determining the fitting function, includes: Based on the preset fitting algorithm, the temperature point and the corresponding coke weight loss are fitted and calculated to determine the candidate fitting function. Based on the candidate fitting function and the experimental data, the goodness of fit is determined; If the goodness of fit is greater than or equal to a preset threshold, the candidate fitting function is determined as the fitting function.

[0009] In some implementations, it also includes: The target temperature range is determined based on the actual temperature range in which coke undergoes a hot reaction in the blast furnace. Based on the coke reaction curve and the target temperature range, the maximum curvature of the coke reaction curve within the target temperature range is determined, and the maximum curvature within the target temperature range is used as the characterization value of the hot reaction performance of the coke sample.

[0010] In some embodiments, the coke sample is metallurgical coke, foundry coke, or special coke.

[0011] Secondly, this application proposes an apparatus for determining the hot-state reaction properties of coke, comprising: The data acquisition unit is used to acquire experimental data on the reaction of coke samples with carbon dioxide, wherein the experimental data includes multiple temperature points and the weight loss of coke at each temperature point. The curve generation unit is used to determine, based on the experimental data, a coke reaction curve characterizing the change in coke weight loss with temperature. The performance testing unit is used to determine the maximum curvature of the coke reaction curve based on the coke reaction curve, so as to characterize the hot-state reaction performance of coke.

[0012] Thirdly, an electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program stored in the memory to implement the steps of the method for determining the hot-state reaction performance of coke according to any one of the first aspects.

[0013] Fourthly, this application also proposes a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method for determining the hot-state reaction performance of coke according to any one of the first aspects.

[0014] In summary, the method for determining the hot-state reaction performance of coke provided in this application changes the traditional model of performance evaluation based on a single fixed temperature point by acquiring continuous weight loss data of coke samples at multiple temperature points during the reaction with carbon dioxide. It directly obtains experimental data reflecting the dynamic reaction behavior of coke throughout the entire heating range. Based on this discrete experimental data, a continuous coke reaction curve is determined to characterize the weight loss as a function of temperature. A mathematical fitting method transforms the raw data, which includes measurement fluctuations, into a function trajectory. This not only effectively smooths out the interference of random errors on the data but also describes the overall trend of the coke reaction process. This allows the analysis of reaction behavior to move beyond numerical comparisons at discrete points and focus on its continuously changing morphological characteristics. Based on the continuous reaction curve, its maximum curvature is determined, and the mathematical concept of curvature is creatively applied to the analysis of the coke reaction process. The maximum curvature, as the extreme value that quantifies the local bending degree of the curve, can capture the most dramatic inflection point of change in the curve. This inflection point usually corresponds to the temperature region where the reactivity of coke is rapidly accelerated due to ash catalysis and other reasons. Therefore, using this maximum curvature as an indicator to characterize the hot reaction performance of coke essentially transforms the evaluation of reaction performance from the point level to the level of the intensity of process change. This allows for the differentiation of coke samples that may have similar reactivity at a single point but have different actual reaction process trends, thus capturing the differences in the stability of the coke reaction process. Attached Figure Description

[0015] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit this specification. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 A schematic flowchart illustrating the method for determining the hot reaction properties of coke provided in this application embodiment; Figure 2 The coke reaction weight loss curve provided in the embodiments of this application; Figure 3 A schematic diagram of the device for determining the hot reaction performance of coke provided in the embodiments of this application; Figure 4 A schematic diagram of the equipment structure for determining the hot reaction performance of coke provided in an embodiment of this application. Detailed Implementation

[0016] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this application 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 so that the embodiments described herein can be implemented in a sequence other than that illustrated or 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. The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them.

[0017] Please see Figure 1 This is a schematic flowchart illustrating a method for determining the hot reaction properties of coke according to an embodiment of this application, which may specifically include: S110. Obtain test data on the reaction between coke samples and carbon dioxide, including multiple temperature points and the weight loss of coke at each temperature point. For example, in step S110, experimental data on the reaction between coke samples and carbon dioxide are acquired. The core of this step is to collect the mass loss of coke due to the solubility reaction at different temperature points during continuous heating. This step breaks through the traditional mode of performance evaluation that relies on a single fixed temperature point. Its principle is based on the fact that there is actually a top-down temperature gradient in the blast furnace, and the reactivity of coke changes non-linearly with temperature. Therefore, a series of temperature and weight loss data pairs covering a specific temperature range (e.g., the temperature range corresponding to the actual reaction zone in the blast furnace) are acquired.

[0018] S120. Based on experimental data, determine the coke reaction curve used to characterize the change in coke weight loss with temperature; For example, step S120 constructs a continuous and smooth coke reaction curve based on the acquired discrete experimental data through fitting. This curve aims to characterize the functional relationship between weight loss and temperature. The principle is that although discrete data points can reflect the local reaction state at a specific temperature, they are limited by measurement errors and cannot reveal the inherent continuous trend of the reaction process. Through fitting, the potentially fluctuating discrete data can be integrated into a functional model, thereby elevating the reaction behavior of coke under varying temperature conditions from an observation of a point set to a description of an overall trajectory. This not only smooths out random interference, but more importantly, extracts essential features that characterize the reaction process morphology from the geometric properties of the curve.

[0019] S130. Based on the coke reaction curve, determine the maximum curvature of the coke reaction curve to characterize the hot-state reaction performance of coke.

[0020] For example, step S130, based on the constructed coke reaction curve, calculates and extracts the maximum curvature of the curve within a relevant temperature range, using this as an indicator to quantitatively evaluate the hot-state reaction performance of coke. Curvature, mathematically, describes the degree of local bending of a curve at a certain point, with its maximum value corresponding to the inflection point where the curve shape changes most drastically. In the context of the hot-state reaction of coke, this inflection point essentially maps the specific temperature range where, during the heating process, the rate of coke's reaction with carbon dioxide is most significantly accelerated due to the catalytic effect or physical property transformation of its complex components such as ash. Therefore, establishing this maximum curvature value as a performance characterization value transforms the focus on the overall reaction behavior of coke under continuously varying temperature conditions from a single reaction quantity or average rate to capturing the key characteristics of its reaction process's "stability" or "abruptness," thus providing an evaluation dimension for coke samples that exhibit similar performance in traditional single-point tests but have opposite actual dynamic reactions.

[0021] In summary, the embodiments of this application, by constructing a new evaluation index for the hot-state reaction performance of coke, can more comprehensively and accurately reflect the reaction behavior characteristics of coke under the complex thermal environment of an actual blast furnace. Firstly, by acquiring experimental data on multiple temperature points and their corresponding coke weight loss during the reaction of coke samples with carbon dioxide, the limitations of traditional methods that rely solely on a single fixed temperature point reactivity index are overcome, providing a data foundation for evaluating the dynamic reaction behavior of coke within a continuous temperature range. Based on these discrete experimental data, a continuous coke reaction curve characterizing the change in coke weight loss with temperature is determined through fitting. This not only effectively smooths out potential random errors during measurement, transforming the fluctuating raw data into a function trajectory reflecting the overall trend, but also elevates the analysis object from numerical comparisons of discrete points to a continuous description of the reaction process. Furthermore, based on this continuous reaction curve, by calculating and determining its maximum curvature, the mathematical concept of curvature is creatively applied to the analysis of the coke reaction process. This maximum curvature, as an extreme value quantifying the local bending of the curve, can capture the most dramatic inflection point in the curve's shape. This inflection point typically corresponds to the specific temperature range where the reaction rate of coke is most significantly accelerated due to ash catalysis or physical property transformation. Therefore, using the maximum curvature as an indicator of the hot-state reaction performance of coke essentially deepens the evaluation of reaction performance from a static point level to a dynamic level of process change intensity. This allows for the effective differentiation of coke samples with similar reactivity values ​​in traditional single-point tests but drastically different reaction progress and stability throughout the entire heating process. This provides blast furnace operators with a basis for predicting coke behavior within the furnace, optimizing coal blending, and ensuring blast furnace stability.

[0022] In some instances, the preparation of coke samples for this application can be carried out according to standard methods known in the art. For example, mechanical sample preparation can be performed with reference to the ferrous metallurgical industry standard YB / T4494-2015 "Technical Specification for Mechanical Sample Preparation of Coke Reactivity and Post-Reaction Strength". Specifically, a representative portion is selected from the coke to be tested, and coke particles conforming to a preset particle size range (e.g., particle size from X mm to Y mm) are prepared as test samples through steps such as crushing and sieving. The preparation process aims to ensure the homogeneity and representativeness of the test samples to meet the basic requirements of hot-state reaction performance testing.

[0023] In some instances, the coke samples were metallurgical coke, foundry coke, or specialty coke.

[0024] For example, metallurgical coke mainly refers to coke used in blast furnace ironmaking as a reducing agent and a structural support for the feed column; foundry coke mainly refers to coke used in cupola furnaces and other casting and smelting equipment to provide a heat source for the melting and superheating of molten iron; special coke includes coke used in non-blast furnace ironmaking (such as molten reduction), coke used in the production of ferroalloys, and coke used in chemical industries (such as calcium carbide and syngas production) and other cokes with special uses. The determination method provided in this application is intended to be applicable to the evaluation of the hot reactivity performance of the above-mentioned types of coke samples.

[0025] In some instances, experimental data on the reaction of coke samples with carbon dioxide were obtained, including: Based on a preset acquisition interval, the current temperature and current weight of the coke sample are acquired during the heating process. Based on the initial and current weight of the coke sample, determine the weight loss of coke at each sampling time. The experimental data were determined based on the current temperature and the corresponding weight loss of coke.

[0026] For example, the process of acquiring experimental data on the reaction of coke samples with carbon dioxide is implemented as follows. The process begins by setting a preset acquisition interval, which can be determined based on time or temperature changes, such as triggering acquisition at fixed intervals or whenever the temperature rises by a certain value. Under the condition that the coke sample is in a controlled heating environment and continuously in contact with a carbon dioxide gas flow, the current temperature and current weight of the coke sample are simultaneously acquired according to the preset acquisition interval. The current temperature is obtained in real time by thermocouples deployed in the reaction zone, reflecting the instantaneous thermal state of the coke sample. The current weight is obtained in real time by a high-precision balance connected to the reactor carrying the coke sample, reflecting the instantaneous change in coke mass due to the dissolution reaction. This ensures that each acquisition moment corresponds to a temperature value and a weight value, thus providing corresponding original measurement points for establishing the correlation between temperature and weight loss.

[0027] Based on the collected current weight data, the coke weight loss at each collection moment is calculated. Specifically, the initial weight of the coke sample is recorded before the experiment begins. For each collection moment, the cumulative coke weight loss from the start of the experiment to that moment is calculated by subtracting the current weight collected at that moment from the initial weight. This calculation process is performed independently for each collection moment, thereby generating a coke weight loss sequence that corresponds one-to-one with the collection moment sequence. Subsequently, this coke weight loss sequence is correlated with the synchronously collected temperature sequence, that is, the current temperature value at the same collection moment is combined with the calculated coke weight loss value into a data pair. Finally, the set of such temperature and weight loss data pairs generated from all collection moments is determined as the experimental data. This dataset completely records the discrete trajectory of coke weight loss evolution with temperature during the variable-temperature reaction process.

[0028] In summary, this application's embodiments, through interval acquisition, obtained a series of discrete but continuously distributed temperature and corresponding weight loss data of coke throughout the entire heating reaction range, thereby constructing a multi-point observation sample of the reaction process. Compared to the traditional method of measuring total weight loss only at a single endpoint temperature, the data obtained by this method can reveal the dynamic growth process of weight loss with increasing temperature, providing a data foundation for analyzing the nonlinear variation characteristics of coke reactivity in the temperature dimension.

[0029] In some instances, based on experimental data, coke reaction curves are determined to characterize the change in coke weight loss with temperature, including: A pre-defined fitting algorithm was used to perform function fitting on the temperature points and corresponding coke weight loss in the experimental data, and the fitting function was determined, including: Based on the preset fitting algorithm, the temperature points and the corresponding coke weight loss are fitted and calculated to determine the candidate fitting function. The goodness of fit is determined based on the candidate fitting function and experimental data; If the goodness of fit is greater than or equal to the preset threshold, the candidate fitting function is determined as the fitting function.

[0030] The coke reaction curve is determined based on the fitting function.

[0031] For example, determining the coke reaction curve to characterize the weight loss of coke with temperature based on experimental data involves using a pre-defined fitting algorithm to perform function fitting on a series of temperature points and their corresponding coke weight loss values ​​recorded in the experimental data. This pre-defined fitting algorithm is, for example, a polynomial fitting algorithm. Its core lies in finding a polynomial function through mathematical optimization that minimizes the overall deviation between the theoretical weight loss value calculated by this function and the actual weight loss value measured in the experiment. During this fitting process, temperature is used as the independent variable and coke weight loss as the dependent variable. Based on mathematical principles such as the least squares method, global calculations are performed on all data points in the experimental data to determine the specific coefficients of the polynomial function, thus obtaining a definite fitting function. This fitting function is a continuous mathematical expression whose domain covers the entire temperature range involved in the experimental data. Subsequently, based on this fitting function, its function graph is plotted within the temperature range. This graph is a continuous and smooth coke reaction curve, which mathematically characterizes the continuous relationship between coke weight loss and temperature change, replacing the original discrete set of data points and providing an analytical description of the overall trend of the reaction process. To ensure that the fitted curve accurately reflects the actual reaction process, a goodness-of-fit index (e.g., R0) needs to be calculated after fitting. 2The goodness of fit is required to be no less than a preset threshold (e.g., 0.933) to verify the accuracy of the fitting function in representing the original experimental data. Only fitting functions that meet this accuracy requirement and their corresponding curves are finally determined as coke reaction curves for analysis.

[0032] In summary, this embodiment of the application determines the coke reaction curve by performing the aforementioned function fitting process. Discrete experimental data points, potentially containing random experimental errors, are transformed into a continuous, smooth function curve through mathematical modeling. This transformation process essentially smooths and denoises the original data, effectively suppressing the interference of individual measurement anomalies on the overall trend judgment. The resulting continuous curve not only fills the gaps in the temperature dimension of the discrete data points, achieving a seamless mathematical description of the coke reaction behavior throughout the entire heating range, but more importantly, it elevates the evaluation of reaction performance from numerical comparison of finite discrete points to the analytical level of the geometric morphological characteristics of a continuous function. This curve records the rate of weight loss with temperature change (first derivative) and its acceleration information (second derivative), providing a mathematical basis for extracting indicators that reflect the intrinsic characteristics of the reaction process. Without the continuous function expression obtained in this step, curvature calculation based on differential operations cannot be implemented, and the technical path of extracting characteristic indicators from the process morphology cannot be realized.

[0033] In some instances, the maximum curvature of the coke reaction curve is determined based on the coke reaction curve, including: Based on the coke reaction curve, the first and second derivative information of the coke reaction curve at multiple candidate temperature points is determined; Based on the preset curvature calculation formula, first derivative information, and second derivative information, the candidate curvature value corresponding to each candidate temperature point is determined. The maximum curvature value is determined based on the candidate curvature values ​​corresponding to multiple candidate temperature points.

[0034] For example, based on an established continuous coke reaction curve, multiple candidate temperature points are selected within a preset temperature range. For each candidate temperature point, the first and second derivative values ​​are calculated using differential operations according to the mathematical function expression of the curve. The first derivative value characterizes the instantaneous rate of coke weight loss with temperature change near that temperature point, while the second derivative value characterizes the rate of change of this instantaneous rate itself. These two sets of derivative information together constitute the core data describing the local geometry of the curve. Subsequently, the first and second derivative values ​​corresponding to each candidate temperature point are substituted into a preset curvature calculation formula for calculation. This formula combines the first and second derivatives, and the calculation result is the curvature value of the curve at that candidate temperature point. This value quantifies the degree of local curvature of the curve at this location. By repeating the calculation for all candidate temperature points, a series of candidate curvature values ​​are obtained. Finally, by comparing and analyzing this series of candidate curvature values, the maximum value is selected, and this maximum value is determined as the maximum curvature value of the coke reaction curve. This step transforms the mathematical description of the continuous reaction process of coke into a single scalar value that characterizes the steepest changes in its morphology.

[0035] It should be noted that the preset curvature calculation formula is a commonly used mathematical expression for calculating the curvature of a plane curve at a certain point, namely, the cube of the result obtained by dividing the absolute value of the second derivative at that point by the square of the first derivative plus one. Under the coke reaction curve, a higher curvature value means that near the corresponding temperature point, the acceleration of the coke weight loss with temperature change is more significant relative to its rate of change, which reflects a relatively drastic change in the coke reaction behavior within that temperature range. Finally, by comparing all candidate curvature values ​​calculated for all candidate temperature points within the temperature range of interest, the largest value is selected as the maximum curvature of the coke reaction curve. This maximum value indicates that the coke weight loss curve bends most sharply throughout the entire reaction temperature process, that is, the dynamic characteristics of the reaction process change most significantly.

[0036] In summary, this application uses the determined maximum curvature value as an indicator to characterize the hot-state reactivity of coke. The dissolution reaction of coke with carbon dioxide is affected by various factors, including its inherent ash content. The reaction rate does not change uniformly with increasing temperature; it often accelerates sharply within a specific temperature range due to the catalytic effect of alkaline substances in the ash, which is reflected in the reaction curve as a significantly curved "inflection point." The maximum curvature value accurately locates and quantifies the sharpness of this inflection point. Therefore, this indicator essentially captures the most severe "instability" or "abrupt change" characteristics during the coke reaction process. For different cokes with potentially similar reactivity values ​​in traditional single-temperature point tests, their reaction stability across the entire temperature range can vary significantly. A coke with a smaller maximum curvature value indicates a smoother reaction process, providing a more stable feed column framework in the blast furnace, while a coke with a larger maximum curvature value suggests that the reaction may be too violent in a specific high-temperature zone, leading to excessively rapid degradation of the feed column framework. Therefore, the maximum curvature index provides an evaluation dimension that goes beyond static point comparison and deeply reflects the stability of the dynamic reaction process of coke, providing a key basis for predicting coke behavior and optimizing feed batching to maintain stable furnace conditions during blast furnace operation.

[0037] In some instances, it also includes: The target temperature range is determined based on the actual temperature range in which coke undergoes a hot reaction in the blast furnace. Based on the coke reaction curve and the target temperature range, the maximum curvature of the coke reaction curve within the target temperature range is determined, and the maximum curvature within the target temperature range is used as the characterization value of the hot reaction performance of the coke sample.

[0038] For example, based on the obtained continuous coke reaction curve, this application can flexibly extract any target temperature range from the curve according to actual evaluation needs or specific blast furnace operating conditions, calculate the maximum curvature of the reaction curve within that range, and use this value as the characterization value of the hot-state reaction performance of coke within that specific temperature range. This feature makes the evaluation process no longer limited to a fixed or overall temperature range, and enables performance evaluation and comparison of the reaction behavior of coke in specific regions (such as the softening zone) or under specific process conditions within the actual blast furnace, thereby enhancing the applicability and flexibility of this evaluation method.

[0039] The technical solution of this application will be further described in detail below through specific embodiments.

[0040] Two types of coke samples, A and B, were selected. First, a coke solubility and post-solution strength tester of a certain model was used to test their temperature-dependent reactivity. The temperature-dependent reactivity test data are shown in Table 1. Table 1 contains partial test data. Based on this data, a trend chart of the test data was plotted, as shown below. Figure 2As shown, polynomial curve fitting was performed using Minitab17 software to obtain fitting functions F(A) and F(B) to characterize the weight loss of coke A and B as a function of temperature. F(A) and F(B) are expressed as follows: F(A): y =0.000001 x 3 -0.0001211 x 2 +0.9072 x -219.7 F(B): y =0.000504 x 2 -0.9279 x +428.4 The goodness-of-fit R² for both F(A) and F(B) reached 0.999, indicating that the fitted curves can reliably characterize the actual reaction process. Subsequently, a Python program was written to solve the two fitted curve functions based on the curvature calculation formula (curvature K=|y''| / (1+(y')²)^(3 / 2)), and the maximum curvature values ​​within the corresponding temperature ranges were calculated. The calculation results show that the RPI (newly defined as "reaction process index") of coke A is 0.000161, while that of coke B is 0.00102. The comparison shows that the RPI of coke A is significantly lower than that of coke B. This indicates that, compared to coke B, the weight loss rate of coke A changes more gradually with temperature throughout the entire variable-temperature reaction process, meaning that the reaction behavior of coke A exhibits better stability in the simulated blast furnace thermal process.

[0041] It is important to note that a stable reaction process, i.e., a lower RPI value, has significant positive implications for blast furnace production. Coke in the blast furnace not only acts as a reducing agent but also plays a crucial role in maintaining the permeability and liquid flow of the burden column. Coke with a lower RPI value means that its reaction rate increases more gradually during heating, without drastic abrupt changes. This characteristic makes the dissolution process of coke more predictable and uniform across different temperature zones from top to bottom of the blast furnace. It also allows the coke to maintain suitable particle size and strength for a longer period, thereby stabilizing the airflow channels and the descent path of molten slag and iron droplets within the blast furnace. This effectively prevents abnormal furnace conditions such as deterioration of burden column permeability, uneven airflow distribution, and even hanging or collapse of burden caused by excessively rapid consumption of coke in certain areas. Therefore, selecting coke with a more stable reaction process (lower RPI value) is one of the keys to ensuring the long-term stable and efficient production of blast furnaces, especially large blast furnaces.

[0042] Table 1. Test data on the temperature-dependent reactivity of coke

[0043] Please see Figure 3 The diagram below illustrates the structure of a device for determining the hot reaction performance of coke, as provided in this application embodiment. The device includes: The data acquisition unit 21 is used to acquire experimental data on the reaction between coke samples and carbon dioxide, wherein the experimental data includes multiple temperature points and the weight loss of coke at each temperature point. Curve generation unit 22 is used to determine the coke reaction curve to characterize the change of coke weight loss with temperature based on experimental data; The performance testing unit 23 is used to determine the maximum curvature of the coke reaction curve based on the coke reaction curve, so as to characterize the hot-state reaction performance of coke.

[0044] Please see Figure 4 This application also provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor. When the processor 320 executes the computer program 311, it implements the steps of a method for determining the hot reaction performance of coke.

[0045] Since the electronic device described in this embodiment is the device used to implement the device for determining the hot reaction performance of coke in this application embodiment, those skilled in the art can understand the specific implementation method and various variations of the electronic device in this embodiment based on the method described in this application embodiment. Therefore, how the electronic device implements the method in this application embodiment will not be described in detail here. Any device used by those skilled in the art to implement the method in this application embodiment is within the scope of protection of this application.

[0046] In practice, when the computer program 311 is executed by the processor, it can implement any of the embodiments corresponding to the first aspect.

[0047] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0048] Those skilled in the art will understand that embodiments of this application can provide methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-readable storage media containing computer-readable program code.

[0049] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0050] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0051] These computer program instructions can also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0052] This application also provides a computer program product, which includes computer software instructions that, when executed on a processing device, cause the processing device to perform... Figure 1 The flowchart of a method for determining the hot reaction performance of coke in the corresponding embodiment.

[0053] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, computer instructions may be transferred from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means. The computer-readable storage medium may be any usable medium that a computer can store or a data storage device such as a server or data center that integrates one or more usable media. The usable medium may be a magnetic medium, an optical medium, or a semiconductor medium, etc.

[0054] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0055] In the several embodiments provided in this application, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Furthermore, the mutual couplings or direct couplings or communication connections shown or discussed may be indirect couplings or communication connections through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0056] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0057] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units described above can be implemented in the form of hardware and / or software functional units.

[0058] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device to execute all or part of the steps of the methods in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory, magnetic disks, or optical disks.

[0059] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

[0060] Although preferred embodiments have been described in this specification, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications that fall outside the scope of this specification.

[0061] Obviously, those skilled in the art can make various modifications to this specification without departing from its spirit and scope. Therefore, this specification also intends to include any modifications that fall within the scope of the claims and their equivalents.

Claims

1. A method for determining the hot-state reactivity of coke, characterized in that, include: The experimental data on the reaction of coke samples with carbon dioxide were obtained, wherein the experimental data included multiple temperature points and the weight loss of coke at each temperature point; Based on the experimental data, a coke reaction curve was determined to characterize the change in coke weight loss with temperature. Based on the coke reaction curve, the maximum curvature of the coke reaction curve is determined to characterize the hot-state reaction performance of coke.

2. The method according to claim 1, characterized in that, The experimental data obtained from the reaction of coke samples with carbon dioxide include: Based on a preset acquisition interval, the current temperature and current weight of the coke sample are acquired during the heating process. Based on the initial weight and the current weight of the coke sample, determine the coke weight loss at each sampling moment; The test data are determined based on the current temperature and the corresponding coke weight loss.

3. The method according to claim 1, characterized in that, The determination of the coke reaction curve, based on the experimental data, to characterize the change in coke weight loss with temperature includes: A preset fitting algorithm was used to perform function fitting on the temperature points and corresponding coke weight loss in the experimental data to determine the fitting function. The coke reaction curve is determined based on the fitting function.

4. The method according to claim 1, characterized in that, Determining the maximum curvature of the coke reaction curve based on the coke reaction curve includes: Based on the coke reaction curve, the first and second derivative information of the coke reaction curve at multiple candidate temperature points is determined; Based on the preset curvature calculation formula, the first derivative information, and the second derivative information, the candidate curvature value corresponding to each candidate temperature point is determined; The maximum curvature value is determined based on the candidate curvature values ​​corresponding to the multiple candidate temperature points.

5. The method according to claim 3, characterized in that, The step of using a preset fitting algorithm to perform function fitting on the temperature points and corresponding coke weight loss in the test data, and determining the fitting function, includes: Based on the preset fitting algorithm, the temperature point and the corresponding coke weight loss are fitted and calculated to determine the candidate fitting function. Based on the candidate fitting function and the experimental data, the goodness of fit is determined; If the goodness of fit is greater than or equal to a preset threshold, the candidate fitting function is determined as the fitting function.

6. The method according to claim 1, characterized in that, Also includes: The target temperature range is determined based on the actual temperature range in which coke undergoes a hot reaction in the blast furnace. Based on the coke reaction curve and the target temperature range, the maximum curvature of the coke reaction curve within the target temperature range is determined, and the maximum curvature within the target temperature range is used as the characterization value of the hot reaction performance of the coke sample.

7. The method according to claim 1, characterized in that, The coke sample is metallurgical coke, foundry coke, or special coke.

8. An apparatus for determining the hot reaction properties of coke, characterized in that, include: The data acquisition unit is used to acquire experimental data on the reaction of coke samples with carbon dioxide, wherein the experimental data includes multiple temperature points and the weight loss of coke at each temperature point. The curve generation unit is used to determine, based on the experimental data, a coke reaction curve characterizing the change in coke weight loss with temperature. The performance testing unit is used to determine the maximum curvature of the coke reaction curve based on the coke reaction curve, so as to characterize the hot-state reaction performance of coke.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program stored in the memory to implement the steps of the method for determining the hot reaction performance of coke as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for determining the hot reaction performance of coke as described in any one of claims 1 to 7.

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