A method and system for intelligently controlling coal ash characteristics based on big data analysis

Abstract

The present invention discloses a method and system for intelligently controlling coal ash properties based on big data analysis, relating to the technical field of coal ash property control technology. The method comprises obtaining coal ash parameter information, obtaining coal ash melting characteristic temperature information based on the coal ash fusibility test based on the coal ash parameter information, and obtaining a coal ash viscosity-temperature characteristic curve based on the coal ash parameter information. The method accurately analyzes the fusibility of coal ash by performing a fusibility test on the coal ash ash cone, accurately assesses the fusibility of coal ash in actual production environments through the coal ash melting characteristic temperature, ensures the accuracy of coal ash property control through coal ash property control nodes, and improves the efficiency of coal ash property control. The method specifically limits the coal ash property control method based on coal ash control reagent ratio information, avoids the superposition of different control reagents affecting the accuracy of coal ash property control, and improves the stability of coal ash property control.

Description

Technical Field

[0001] The present invention relates to the technical field of coal ash property regulation and control, and in particular to a method and system for intelligently regulating coal ash properties based on big data analysis. Background Art

[0002] Coal ash properties are of great significance to industrial production processes. They are mainly divided into ash fusibility and viscosity-temperature characteristics. Coal ash fusibility is the temperature at which coal reaches a molten state at high temperatures, commonly known as the ash melting point. It mainly includes the deformation temperature (DT), softening temperature (ST), hemispherical temperature (HT), and flow temperature (FT). Coal ash fusion temperature is an important indicator of coal combustion or gasification. Its value is closely related to factors such as furnace slagging and has a significant impact on the combustion mode and slag discharge method of coal-using equipment. If the viscosity of the coal ash is too high, the molten ash will have low fluidity and cannot be smoothly discharged from the slag outlet of the gasifier reaction chamber. Slag blockage will form near the slag outlet, gradually blocking the slag outlet, which is called gasifier coking. If the viscosity of the coal ash is too low within the corresponding temperature operating range, the molten ash will have high fluidity and will quickly flow out of the slag outlet along the inner wall of the gasifier reaction chamber. The molten ash will not effectively cover the reaction chamber wall with slag. The high-temperature gas generated by the gasification reaction will carry high-speed molten slag and directly scour the reaction chamber wall, shortening the reaction chamber life. Therefore, the regulation of coal ash properties becomes a crucial step in industrial production.

[0003] At present, there are still some problems in the control methods of coal ash characteristics, such as being unable to accurately analyze the coal ash characteristics, being unable to set the coal ash characteristics control according to the coal ash characteristics test data, being unable to select appropriate control nodes to adjust the coal ash characteristics, and being unable to select appropriate control methods during control. In the existing technology, the control nodes are often set directly according to the melting temperature of the coal ash. However, in the actual production process, the environment in which the coal ash is located is completely different from the environment during the experimental test, which makes the accuracy of the coal ash characteristics control low, affecting the industrial production efficiency. Summary of the Invention

[0004] In order to solve the above technical problems, a method and system for intelligent control of coal ash characteristics based on big data analysis are provided. This technical solution solves the problems raised in the above background technology, such as the inability to accurately analyze coal ash characteristics, the inability to set coal ash characteristic control according to coal ash characteristic test data, the inability to select appropriate control nodes to adjust coal ash characteristics, and the inability to select appropriate control methods during control. In the existing technology, the control nodes are often set directly according to the melting temperature of coal ash. However, in the actual production process, the environment in which the coal ash is located is completely different from the environment during experimental testing, which makes the accuracy of coal ash characteristic control low, affecting industrial production efficiency.

[0005] In order to achieve the above objects, the technical solution adopted by the present invention is:

[0006] A method for intelligently controlling coal ash characteristics based on big data analysis, comprising:

[0007] Acquiring coal ash parameter information, wherein the coal ash parameter information includes coal ash component type information and mass ratio information corresponding to each coal ash component;

[0008] According to the coal ash parameter information and based on the coal ash fusibility test, the coal ash melting characteristic temperature information is obtained;

[0009] Based on the coal ash parameter information, a coal ash viscosity-temperature characteristic curve is obtained, wherein the coal ash viscosity-temperature characteristic curve represents the change of coal ash viscosity with temperature;

[0010] Based on the coal ash melting characteristic temperature information, the coal ash characteristic control node is obtained;

[0011] According to the coal ash characteristic control node, the coal ash characteristic control range is obtained;

[0012] Based on the blast furnace ash characteristics requirements, the ash melting temperature threshold and ash viscosity threshold corresponding to each ash characteristics control range are obtained;

[0013] The coal ash characteristics are regulated according to the coal ash viscosity-temperature characteristic curve, coal ash melting temperature threshold and coal ash viscosity threshold.

[0014] Preferably, obtaining the coal ash melting characteristic temperature information based on the coal ash fusibility test according to the coal ash parameter information specifically includes:

[0015] According to the coal ash parameter information and based on the coal ash fusion test requirements, the coal ash cone is manufactured;

[0016] Performing a fusibility test on the coal ash cone to obtain coal ash fusion test data, wherein the coal ash fusion test data includes test environment temperature change data, ash cone height data, and coal ash cone appearance feature information;

[0017] According to the coal ash melting test data, based on the test environment temperature corresponding to the coal ash ash cone appearance characteristics, the coal ash basic characteristic temperature information is obtained, and the coal ash basic characteristic temperature includes deformation temperature, softening temperature, hemispherical temperature and flow temperature;

[0018] Acquire historical coal ash data, wherein the historical coal ash data represents coal ash data during the historical operation of the blast furnace, and the historical coal ash data includes historical coal ash appearance characteristic information, historical blast furnace temperature information, and historical time information;

[0019] Based on historical coal ash data, the heat transfer coefficient is obtained;

[0020] According to the heat transfer coefficient and historical coal ash data, the coal ash melting characteristic temperature information is obtained based on the coal ash basic characteristic temperature information.

[0021] Preferably, obtaining the heat transfer coefficient based on historical coal ash data specifically includes:

[0022] According to the historical coal ash data, the historical coal ash data is divided based on the blast furnace working cycle to obtain a historical coal ash data set, wherein the historical coal ash data set includes a plurality of historical coal ash data subsets, each of the historical coal ash data subsets corresponds to a blast furnace working cycle;

[0023] Based on the historical coal ash dataset, the historical blast furnace temperature information in each historical coal ash data subset is matched with the historical time information. A coordinate system is constructed with time as the horizontal axis and blast furnace temperature as the vertical axis to obtain a historical blast furnace temperature time curve graph.

[0024] Based on the historical coal ash dataset and historical coal ash appearance characteristic information, the blast furnace temperature corresponding to the flow state of the coal ash is used as the reference ambient temperature to obtain the reference ambient temperature corresponding to each historical coal ash data subset;

[0025] Based on the historical coal ash data subset, the slope of the curve corresponding to the reference ambient temperature in the historical blast furnace temperature-time curve is used as the temperature change rate corresponding to the reference ambient temperature;

[0026] According to the historical coal ash appearance characteristic information, the coal ash appearance collection period is obtained;

[0027] The product of the minimum value of the reference ambient temperature and the coal ash appearance collection period is taken as the maximum temperature deviation value;

[0028] The coal ash melting characteristic temperature information is obtained based on the maximum temperature deviation value.

[0029] Preferably, obtaining the coal ash melting characteristic temperature information according to the maximum temperature deviation value specifically includes:

[0030] Based on the minimum value of the reference ambient temperature corresponding to the historical coal ash data subset, the reference ambient temperatures are screened in descending order until the difference between the maximum value of the reference ambient temperature and the minimum value of the reference ambient temperature does not exceed the maximum temperature deviation value;

[0031] The average value of all the reference ambient temperatures after screening is used as the first calibration ambient temperature, and the average of the maximum and minimum values ​​of the reference ambient temperatures after screening is used as the second calibration ambient temperature;

[0032] The ratio of the difference between the first calibration ambient temperature and the second calibration ambient temperature to the difference between the maximum and minimum values ​​of the screened reference ambient temperature is used as the calibration deviation coefficient;

[0033] According to the maximum temperature deviation value, the product of half of the maximum temperature deviation value and the calibration deviation coefficient is used as the estimated offset;

[0034] Based on the minimum value of the reference ambient temperature, the difference between the minimum value of the reference ambient temperature and the estimated offset is used as the critical ambient temperature;

[0035] The difference between the critical ambient temperature and the flow temperature is used as the temperature mapping correction;

[0036] According to the basic characteristic temperature information of the coal ash and based on the temperature mapping correction amount, the basic characteristic temperature of the coal ash is corrected to obtain the coal ash melting characteristic temperature information.

[0037] Preferably, the step of correcting the basic characteristic temperature of the coal ash based on the temperature mapping correction amount to obtain the coal ash melting characteristic temperature information specifically includes:

[0038] According to the historical blast furnace temperature time curve corresponding to the minimum value of the reference ambient temperature, the historical blast furnace temperature time curve corresponding to the critical ambient temperature and the minimum value of the reference ambient temperature is used as the temperature change characteristic curve;

[0039] According to the temperature change characteristic curve, the blast furnace temperature change rate information is obtained, wherein the blast furnace temperature change rate information represents the temperature change characteristic curve slope corresponding to different temperatures in the temperature change characteristic curve as the blast furnace temperature change rate corresponding to the blast furnace temperature;

[0040] According to the test environment temperature change data, obtain the test temperature change rate information;

[0041] Obtaining the heat transfer coefficient based on the test temperature change rate information, the blast furnace temperature change rate information and the temperature mapping correction amount;

[0042] According to the historical blast furnace temperature time curve, the curve is fitted to obtain the blast furnace temperature time reference curve;

[0043] According to the blast furnace temperature time benchmark curve, obtain the blast furnace heating rate information;

[0044] According to the heat transfer coefficient, blast furnace heating rate information, and the basic characteristic temperature of the coal ash, the coal ash melting characteristic temperature information is obtained;

[0045] The heat transfer coefficient is specifically:

[0046]

[0047] Where, is the heat transfer coefficient, is the critical ambient temperature, is the flow temperature, Indicates the blast furnace temperature is The corresponding blast furnace temperature change rate is Indicates the test temperature change rate, is the initial temperature before the blast furnace is started;

[0048] The coal ash melting characteristic temperature is specifically:

[0049]

[0050] Where, For the The characteristic temperature of coal ash melting, For the The basic characteristic temperature of coal ash, ,in is the deformation temperature, is the softening temperature, is the hemispheric temperature, is the flow temperature, For the A correction value for the basic characteristic temperature of coal ash.

[0051] Preferably, the regulating and controlling the coal ash characteristics according to the coal ash viscosity-temperature characteristic curve, the coal ash melting temperature threshold, and the coal ash viscosity threshold specifically includes:

[0052] Obtaining coal ash property control reagent information based on the coal ash parameter information, wherein the coal ash property control reagent information includes coal ash property control reagent type information and an influence coefficient of each coal ash property control reagent on the coal ash basic characteristic temperature and coal ash viscosity;

[0053] According to the information of the coal ash characteristic control reagent, the ratio of the influence coefficient of the coal ash characteristic control reagent on the coal ash basic characteristic temperature to the influence coefficient on the coal ash viscosity is used as the reagent influence difference coefficient;

[0054] According to the coal ash characteristic control node and the coal ash viscosity-temperature characteristic curve, the coal ash melting temperature and coal ash viscosity corresponding to each coal ash characteristic control node are obtained;

[0055] The ratio of the difference between the ash melting temperature and the ash melting temperature threshold corresponding to each ash characteristic control node to the ash melting temperature is used as the ash melting characteristic control coefficient;

[0056] The ratio of the difference between the coal ash viscosity and the coal ash viscosity threshold corresponding to each coal ash characteristic control node to the coal ash viscosity is used as the coal ash viscosity-temperature characteristic control coefficient;

[0057] The ratio of the coal ash melting characteristic control coefficient to the coal ash viscosity-temperature characteristic control coefficient is used as the coal ash characteristic control difference coefficient;

[0058] The coal ash property control reagent corresponding to the maximum absolute value of the difference between the reagent influence difference coefficient and the coal ash property control difference coefficient corresponding to each coal ash property control interval is used as the first coal ash control reagent corresponding to the coal ash property control interval;

[0059] Using any coal ash property control reagent as the second coal ash control reagent, adjusting the ratio of the first coal ash control reagent to the second coal ash control reagent until the coal ash melting temperature meets the coal ash melting temperature threshold and the coal ash viscosity meets the coal ash viscosity threshold, thereby obtaining coal ash control reagent ratio information;

[0060] The coal ash characteristics are regulated based on the coal ash regulating reagent ratio information.

[0061] Furthermore, a coal ash characteristics intelligent control system based on big data analysis is proposed to implement the above-mentioned control method, including:

[0062] a main control module, the main control module being configured to screen the reference ambient temperatures in descending order based on the minimum value of the reference ambient temperature corresponding to the historical coal ash data subset, obtain a temperature mapping correction value based on the screened reference ambient temperature, obtain a heat transfer coefficient based on the temperature mapping correction value, obtain blast furnace temperature change rate information based on a temperature change characteristic curve, fit the curve based on a historical blast furnace temperature time curve to obtain a blast furnace temperature time reference curve, obtain blast furnace heating rate information based on the blast furnace temperature time reference curve, obtain coal ash melting characteristic temperature information based on the heat transfer coefficient and the blast furnace heating rate information and the coal ash basic characteristic temperature, and regulate coal ash characteristics based on the coal ash viscosity-temperature characteristic curve, the coal ash melting temperature threshold, and the coal ash viscosity threshold;

[0063] an information acquisition module, the information acquisition module being used to acquire coal ash parameter information, the coal ash parameter information including coal ash component type information and mass ratio information corresponding to each coal ash component; perform a fusibility test on the coal ash ash cone to acquire coal ash melting test data, the coal ash melting test data including test environment temperature change data, ash cone height data, and coal ash ash cone appearance characteristic information; acquire historical coal ash data including historical coal ash appearance characteristic information, historical blast furnace temperature information, and historical time information; and acquire a coal ash viscosity-temperature characteristic curve based on the coal ash parameter information;

[0064] an evaluation module, the evaluation module being configured to divide the historical coal ash data based on the blast furnace working cycle according to the historical coal ash data, obtain a historical coal ash data set, match the historical blast furnace temperature information in each historical coal ash data subset with the historical time information based on the historical coal ash data set, construct a coordinate system with time as the horizontal axis and blast furnace temperature as the vertical axis, obtain a historical blast furnace temperature-time curve graph, use the blast furnace temperature corresponding to the flow state of the coal ash as the reference ambient temperature according to the historical coal ash data set and the historical coal ash appearance characteristic information, obtain the reference ambient temperature corresponding to each historical coal ash data subset, obtain a maximum temperature deviation value according to the reference ambient temperature, and use the ratio of the influence coefficient of the coal ash characteristic regulating reagent on the basic characteristic temperature of the coal ash to the influence coefficient on the coal ash viscosity as the reagent influence difference coefficient according to the coal ash characteristic regulating reagent information;

[0065] The display module interacts with the main control module and is used to output and display coal ash melting characteristic temperature information, coal ash characteristic control range, coal ash melting temperature threshold, coal ash viscosity threshold and coal ash control reagent ratio information.

[0066] Optionally, the main control module specifically includes:

[0067] a control unit configured to obtain blast furnace temperature change rate information based on a temperature change characteristic curve, fit the curve based on a historical blast furnace temperature time curve to obtain a blast furnace temperature time reference curve, obtain blast furnace heating rate information based on the blast furnace temperature time reference curve, obtain ash melting characteristic temperature information based on a heat transfer coefficient and blast furnace heating rate information and a basic characteristic temperature of the ash, and regulate ash characteristics based on a ash viscosity-temperature characteristic curve, an ash melting temperature threshold, and an ash viscosity threshold;

[0068] An information receiving unit, which interacts with the information acquisition module and the evaluation module to receive data and transmit it to the data processing unit;

[0069] A data processing unit is used to filter the reference ambient temperatures in descending order based on the minimum value of the reference ambient temperature corresponding to the historical coal ash data subset, obtain the temperature mapping correction amount based on the filtered reference ambient temperature, and obtain the heat transfer coefficient based on the temperature mapping correction amount.

[0070] Optionally, the information acquisition module specifically includes:

[0071] a first acquisition unit, configured to acquire coal ash parameter information, the coal ash parameter information including coal ash component type information and mass ratio information corresponding to each coal ash component, perform a fusibility test on the coal ash ash cone, and acquire coal ash fusion test data, the coal ash fusion test data including test environment temperature change data, ash cone height data, and coal ash ash cone appearance characteristic information;

[0072] The second acquisition unit is used to acquire historical coal ash data, wherein the historical coal ash data includes historical coal ash appearance characteristic information, historical blast furnace temperature information and historical time information, and acquires the coal ash viscosity-temperature characteristic curve based on the coal ash parameter information.

[0073] Optionally, the evaluation module specifically includes:

[0074] a first evaluation unit, configured to divide the historical coal ash data based on the blast furnace working cycle, obtain a historical coal ash data set, match the historical blast furnace temperature information in each subset of the historical coal ash data with the historical time information, construct a coordinate system with time as the horizontal axis and blast furnace temperature as the vertical axis, and obtain a historical blast furnace temperature time curve graph;

[0075] The second evaluation unit is used to obtain the reference ambient temperature corresponding to each historical coal ash data subset based on the historical coal ash data set and the historical coal ash appearance characteristic information, and to obtain the maximum temperature deviation value based on the reference ambient temperature. According to the coal ash characteristic control reagent information, the ratio of the influence coefficient of the coal ash characteristic control reagent on the basic characteristic temperature of the coal ash to the influence coefficient on the coal ash viscosity is used as the reagent influence difference coefficient.

[0076] Compared with the prior art, the present invention has the following beneficial effects:

[0077] The present invention proposes a method and system for intelligent control of coal ash characteristics based on big data analysis. By conducting a fusibility test on the coal ash ash cone, the fusibility of the coal ash can be accurately analyzed. The fusibility of the coal ash in the actual production environment can be accurately evaluated through the coal ash melting characteristic temperature. By obtaining the coal ash characteristic control node based on the coal ash melting characteristic temperature information, the accuracy of the coal ash characteristic control is ensured and the efficiency of the coal ash characteristic control is improved. The coal ash characteristic control method is specifically restricted through the coal ash control reagent ratio information, which avoids the superposition effect of different control reagents affecting the accuracy of the coal ash characteristic control and improves the stability of the coal ash characteristic control. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] Figure 1This is a flow chart of a method for intelligently controlling coal ash characteristics based on big data analysis proposed in the present invention;

[0079] Figure 2 This is a flow chart for obtaining the coal ash melting characteristic temperature information in the present invention;

[0080] Figure 3 A flow chart for obtaining the maximum temperature deviation value in the present invention;

[0081] Figure 4 This is a flow chart for obtaining the temperature mapping correction value in the present invention;

[0082] Figure 5 This is a structural block diagram of the coal ash characteristics intelligent control system based on big data analysis proposed in the present invention. DETAILED DESCRIPTION

[0083] The following description is intended to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are merely examples, and those skilled in the art may conceive of other obvious variations.

[0084] Reference Figure 1 - Figure 4 As shown, a method for intelligently controlling coal ash characteristics based on big data analysis in an embodiment of the present invention includes:

[0085] Acquiring coal ash parameter information, wherein the coal ash parameter information includes coal ash component type information and mass ratio information corresponding to each coal ash component;

[0086] According to the coal ash parameter information and based on the coal ash fusibility test, the coal ash melting characteristic temperature information is obtained;

[0087] Specifically, according to the coal ash parameter information and based on the coal ash fusibility test, the coal ash melting characteristic temperature information is obtained, which specifically includes:

[0088] According to the coal ash parameter information and based on the coal ash fusion test requirements, the coal ash cone is manufactured;

[0089] Performing a fusibility test on the coal ash cone to obtain coal ash fusion test data, wherein the coal ash fusion test data includes test environment temperature change data, ash cone height data, and coal ash cone appearance feature information;

[0090] According to the coal ash melting test data, based on the test environment temperature corresponding to the coal ash ash cone appearance characteristics, the coal ash basic characteristic temperature information is obtained, and the coal ash basic characteristic temperature includes deformation temperature, softening temperature, hemispherical temperature and flow temperature;

[0091] Acquire historical coal ash data, wherein the historical coal ash data represents coal ash data during the historical operation of the blast furnace, and the historical coal ash data includes historical coal ash appearance characteristic information, historical blast furnace temperature information, and historical time information;

[0092] Based on historical coal ash data, the heat transfer coefficient is obtained;

[0093] According to the heat transfer coefficient and historical coal ash data, the coal ash melting characteristic temperature information is obtained based on the coal ash basic characteristic temperature information.

[0094] This solution accurately assesses coal ash meltability by testing the ash cone's meltability. Using the ash cone's appearance as a benchmark, the test temperature corresponding to different ash cone characteristics is used as the characteristic temperature to identify the ash's meltability temperature. A heat transfer coefficient is derived based on historical data, serving as a bridge between laboratory testing and actual blast furnace conditions. This coefficient reflects the heat transfer properties of coal ash in an industrial environment, enabling more accurate mapping of the basic characteristic temperature measured in the laboratory to the blast furnace environment. This optimizes temperature prediction logic, helps predict coal ash behavior in the blast furnace (such as slagging tendency) in advance, and creates a time window for production control.

[0095] It is understood that in this scheme, for the test of coal ash fusibility, according to GB / T 219-2008 "Determination of coal ash fusibility", the test sample is made into a triangular pyramid (base length 7mm, height 20mm), placed in an ash melting point tester, and heated in a weak reducing atmosphere ( , volume ratio) at a rate of 5°C / min, and the temperatures corresponding to the four characteristic states of triangular pyramid deformation, softening, hemisphere, and flow are recorded in real time by a high-temperature camera. They are recorded as deformation temperature DT, softening temperature ST, hemisphere temperature HT, and flow temperature FT, respectively, which constitute the basic data of meltability.

[0096] Specifically, the heat transfer coefficient is obtained based on historical coal ash data, including:

[0097] According to the historical coal ash data, the historical coal ash data is divided based on the blast furnace working cycle to obtain a historical coal ash data set, wherein the historical coal ash data set includes a plurality of historical coal ash data subsets, each of the historical coal ash data subsets corresponds to a blast furnace working cycle;

[0098] Based on the historical coal ash dataset, the historical blast furnace temperature information in each historical coal ash data subset is matched with the historical time information. A coordinate system is constructed with time as the horizontal axis and blast furnace temperature as the vertical axis to obtain a historical blast furnace temperature time curve graph.

[0099] Based on the historical coal ash dataset and historical coal ash appearance characteristic information, the blast furnace temperature corresponding to the flow state of the coal ash is used as the reference ambient temperature to obtain the reference ambient temperature corresponding to each historical coal ash data subset;

[0100] Based on the historical coal ash data subset, the slope of the curve corresponding to the reference ambient temperature in the historical blast furnace temperature-time curve is used as the temperature change rate corresponding to the reference ambient temperature;

[0101] According to the historical coal ash appearance characteristic information, the coal ash appearance collection period is obtained;

[0102] The product of the minimum value of the reference ambient temperature and the coal ash appearance collection period is taken as the maximum temperature deviation value;

[0103] The coal ash melting characteristic temperature information is obtained based on the maximum temperature deviation value.

[0104] In this solution, heat transfer coefficients are mined from historical coal ash data to provide a precise basis for intelligent control of coal ash properties. Historical coal ash data is divided by blast furnace operating cycle to form corresponding datasets and subsets. This stratified analysis focuses on changes in coal ash properties within individual production cycles, making subsequent analysis based on single-cycle temperature curves and baseline ambient temperatures more accurate and improving the data's ability to characterize coal ash properties. A historical blast furnace temperature-time curve is constructed, and the baseline ambient temperature is determined based on coal ash appearance characteristics (flow dynamics). The corresponding curve slope (temperature change rate) is extracted. The temperature and variation trends at key ash melting nodes are dynamically captured, providing core parameters for heat transfer coefficient calculation, ensuring that the coefficient reflects the thermal response of coal ash during the actual blast furnace heating process. The maximum temperature deviation is calculated from the minimum baseline ambient temperature and the ash appearance collection period to define a reasonable fluctuation range for the coal ash melting characteristic temperature. This deviation quantification constraint ensures that the resulting temperature value is closer to the actual temperature, ensuring the reliability of the final coal ash melting characteristic temperature information. This provides an accurate characteristic basis for subsequent intelligent control (such as coal blending optimization), helping to improve blast furnace production stability and efficiency.

[0105] Specifically, according to the maximum temperature deviation value, the coal ash melting characteristic temperature information is obtained, which specifically includes:

[0106] Based on the minimum value of the reference ambient temperature corresponding to the historical coal ash data subset, the reference ambient temperatures are screened in descending order until the difference between the maximum value of the reference ambient temperature and the minimum value of the reference ambient temperature does not exceed the maximum temperature deviation value;

[0107] The average value of all the reference ambient temperatures after screening is used as the first calibration ambient temperature, and the average of the maximum and minimum values ​​of the reference ambient temperatures after screening is used as the second calibration ambient temperature;

[0108] The ratio of the difference between the first calibration ambient temperature and the second calibration ambient temperature to the difference between the maximum and minimum values ​​of the screened reference ambient temperature is used as the calibration deviation coefficient;

[0109] According to the maximum temperature deviation value, the product of half of the maximum temperature deviation value and the calibration deviation coefficient is used as the estimated offset;

[0110] Based on the minimum value of the reference ambient temperature, the difference between the minimum value of the reference ambient temperature and the estimated offset is used as the critical ambient temperature;

[0111] The difference between the critical ambient temperature and the flow temperature is used as the temperature mapping correction;

[0112] According to the basic characteristic temperature information of the coal ash and based on the temperature mapping correction amount, the basic characteristic temperature of the coal ash is corrected to obtain the coal ash melting characteristic temperature information.

[0113] In this approach, the maximum temperature deviation is used as a threshold to filter the baseline ambient temperature and eliminate data with significant deviations. This filtering purifies valid data, reduces the interference of outliers on the characteristic temperature calculation, and enables subsequent mean and difference analysis based on the filtered data to more accurately reflect the true characteristics of coal ash melting. This improves the reliability of the basic characteristic temperature data. The first and second calibration ambient temperatures and calibration deviation coefficients are calculated to quantify the distribution and dispersion of the baseline ambient temperature in multiple dimensions. By correlating temperature deviation with data dispersion through coefficients, this provides a quantitative basis for subsequent offset estimation and critical ambient temperature derivation, making temperature correction more targeted and addressing the limitations of single mean calculation. The average baseline ambient temperature is used as the first calibration ambient temperature, and the average of the maximum and minimum values ​​of the filtered baseline ambient temperature is used as the second calibration ambient temperature. The difference between the first and second calibration ambient temperatures is used to assess the degree of ambient temperature deviation. The ratio of the difference between the first and second calibration ambient temperatures to the difference between the maximum and minimum values ​​of the filtered baseline ambient temperature is used as the calibration deviation coefficient. This calibration deviation coefficient is used to reduce the difference between the minimum baseline ambient temperature and the actual coal ash characteristic temperature.

[0114] Specifically, according to the basic characteristic temperature information of the coal ash and based on the temperature mapping correction amount, the basic characteristic temperature of the coal ash is corrected to obtain the coal ash melting characteristic temperature information, which specifically includes:

[0115] According to the historical blast furnace temperature time curve corresponding to the minimum value of the reference ambient temperature, the historical blast furnace temperature time curve corresponding to the critical ambient temperature and the minimum value of the reference ambient temperature is used as the temperature change characteristic curve;

[0116] According to the temperature change characteristic curve, the blast furnace temperature change rate information is obtained, wherein the blast furnace temperature change rate information represents the temperature change characteristic curve slope corresponding to different temperatures in the temperature change characteristic curve as the blast furnace temperature change rate corresponding to the blast furnace temperature;

[0117] According to the test environment temperature change data, obtain the test temperature change rate information;

[0118] Obtaining the heat transfer coefficient based on the test temperature change rate information, the blast furnace temperature change rate information and the temperature mapping correction amount;

[0119] According to the historical blast furnace temperature time curve, the curve is fitted to obtain the blast furnace temperature time reference curve;

[0120] According to the blast furnace temperature time benchmark curve, obtain the blast furnace heating rate information;

[0121] According to the heat transfer coefficient, blast furnace heating rate information, and the basic characteristic temperature of the coal ash, the coal ash melting characteristic temperature information is obtained;

[0122] The heat transfer coefficient is specifically:

[0123]

[0124] Where, is the heat transfer coefficient, is the critical ambient temperature, is the flow temperature, Indicates the blast furnace temperature is The corresponding blast furnace temperature change rate is Indicates the test temperature change rate, is the initial temperature before the blast furnace is started;

[0125] The coal ash melting characteristic temperature is specifically:

[0126]

[0127] Where, For the The characteristic temperature of coal ash melting, For the The basic characteristic temperature of coal ash, ,in is the deformation temperature, is the softening temperature, is the hemispheric temperature, is the flow temperature, For the A correction value for the basic characteristic temperature of coal ash.

[0128] In this solution, multi-source data fusion and model construction are used to accurately obtain the characteristic melting temperature of coal ash, providing key support for intelligent control. The temperature change characteristic curve is extracted from the corresponding curve of the baseline ambient temperature, and the temperature change rate of the blast furnace and the test is correlated. Laboratory test data (test rate) is deeply coupled with industrial field data (blast furnace rate) to comprehensively characterize the temperature response of coal ash under different heating scenarios. This overcomes the limitations of single-environment data (such as laboratory or field data only), improves the accuracy of describing temperature variation patterns, derives the heat transfer coefficient, and fits the blast furnace temperature-time benchmark curve to obtain the heating rate. The basic characteristic temperature is corrected based on the heat transfer coefficient and heating rate. The resulting melting characteristic temperature accurately reflects the melting behavior of coal ash in the blast furnace.

[0129] It is understandable that the actual heating rate of the ash in the blast furnace (usually ℃ / s) differs significantly from the standard heating rate for ash fusibility testing (usually 5-20 ℃ / min). This can lead to systematic deviations between the measured values ​​of characteristic temperatures (DT, ST, HT, FT) and their behavior under actual blast furnace operating conditions. Ash melting is a kinetic process. During rapid heating, the internal temperature gradient of the ash sample is large, and heat transfer is delayed, resulting in a higher measured melting temperature.

[0130] Based on the coal ash parameter information, a coal ash viscosity-temperature characteristic curve is obtained, wherein the coal ash viscosity-temperature characteristic curve represents the change of coal ash viscosity with temperature;

[0131] Based on the coal ash melting characteristic temperature information, the coal ash characteristic control node is obtained;

[0132] According to the coal ash characteristic control node, the coal ash characteristic control range is obtained;

[0133] Based on the blast furnace ash characteristics requirements, the ash melting temperature threshold and ash viscosity threshold corresponding to each ash characteristics control range are obtained;

[0134] The coal ash characteristics are regulated according to the coal ash viscosity-temperature characteristic curve, coal ash melting temperature threshold and coal ash viscosity threshold.

[0135] Specifically, the coal ash characteristics are regulated based on the coal ash viscosity-temperature characteristic curve, coal ash melting temperature threshold, and coal ash viscosity threshold, including:

[0136] Obtaining coal ash property control reagent information based on the coal ash parameter information, wherein the coal ash property control reagent information includes coal ash property control reagent type information and an influence coefficient of each coal ash property control reagent on the coal ash basic characteristic temperature and coal ash viscosity;

[0137] According to the information of the coal ash characteristic control reagent, the ratio of the influence coefficient of the coal ash characteristic control reagent on the coal ash basic characteristic temperature to the influence coefficient on the coal ash viscosity is used as the reagent influence difference coefficient;

[0138] According to the coal ash characteristic control node and the coal ash viscosity-temperature characteristic curve, the coal ash melting temperature and coal ash viscosity corresponding to each coal ash characteristic control node are obtained;

[0139] The ratio of the difference between the ash melting temperature and the ash melting temperature threshold corresponding to each ash characteristic control node to the ash melting temperature is used as the ash melting characteristic control coefficient;

[0140] The ratio of the difference between the coal ash viscosity and the coal ash viscosity threshold corresponding to each coal ash characteristic control node to the coal ash viscosity is used as the coal ash viscosity-temperature characteristic control coefficient;

[0141] The ratio of the coal ash melting characteristic control coefficient to the coal ash viscosity-temperature characteristic control coefficient is used as the coal ash characteristic control difference coefficient;

[0142] The coal ash property control reagent corresponding to the maximum absolute value of the difference between the reagent influence difference coefficient and the coal ash property control difference coefficient corresponding to each coal ash property control interval is used as the first coal ash control reagent corresponding to the coal ash property control interval;

[0143] Using any coal ash property control reagent as the second coal ash control reagent, adjusting the ratio of the first coal ash control reagent to the second coal ash control reagent until the coal ash melting temperature meets the coal ash melting temperature threshold and the coal ash viscosity meets the coal ash viscosity threshold, thereby obtaining coal ash control reagent ratio information;

[0144] The coal ash characteristics are regulated based on the coal ash regulating reagent ratio information.

[0145] In this solution, the ratio of the influence coefficients of the reagents on the basic characteristic temperature and viscosity of the ash (the reagent influence difference coefficient) is calculated. Combined with the deviation coefficients between the melting temperature and viscosity of the ash property control node and the threshold (the melting and viscosity-temperature control coefficient), the matching degree of the reagents with the control requirements is quantified. The first control reagent is selected based on the principle of maximizing the absolute value of the difference coefficient, accurately identifying the reagent that will most significantly improve the current ash properties. This reduces trial-and-error costs and improves the targeted control. Based on the first reagent, the ratio of the second reagent is adjusted until the ash melting temperature and viscosity meet the threshold. Dynamic optimization overcomes the limitations of single-reagent control while avoiding the mutual influence of excessive reagents, which can reduce the efficiency of ash property control. It is understandable that when the blast furnace temperature reaches the ash melting characteristic temperature, the surface ash properties begin to change, necessitating control of the ash properties. The blast furnace temperature is divided into multiple intervals based on the ash melting characteristic temperature, and different ash property control requirements are set for each interval to achieve accurate control of the ash properties.

[0146] Reference Figure 5 As shown, further, combined with the above-mentioned method for intelligent control of coal ash characteristics based on big data analysis, a coal ash characteristics intelligent control system based on big data analysis is proposed, including:

[0147] a main control module, the main control module being configured to screen the reference ambient temperatures in descending order based on the minimum value of the reference ambient temperature corresponding to the historical coal ash data subset, obtain a temperature mapping correction value based on the screened reference ambient temperature, obtain a heat transfer coefficient based on the temperature mapping correction value, obtain blast furnace temperature change rate information based on a temperature change characteristic curve, fit the curve based on a historical blast furnace temperature time curve to obtain a blast furnace temperature time reference curve, obtain blast furnace heating rate information based on the blast furnace temperature time reference curve, obtain coal ash melting characteristic temperature information based on the heat transfer coefficient and the blast furnace heating rate information and the coal ash basic characteristic temperature, and regulate coal ash characteristics based on the coal ash viscosity-temperature characteristic curve, the coal ash melting temperature threshold, and the coal ash viscosity threshold;

[0148] an information acquisition module, the information acquisition module being used to acquire coal ash parameter information, the coal ash parameter information including coal ash component type information and mass ratio information corresponding to each coal ash component; perform a fusibility test on the coal ash ash cone to acquire coal ash melting test data, the coal ash melting test data including test environment temperature change data, ash cone height data, and coal ash ash cone appearance characteristic information; acquire historical coal ash data including historical coal ash appearance characteristic information, historical blast furnace temperature information, and historical time information; and acquire a coal ash viscosity-temperature characteristic curve based on the coal ash parameter information;

[0149] an evaluation module, the evaluation module being configured to divide the historical coal ash data based on the blast furnace working cycle according to the historical coal ash data, obtain a historical coal ash data set, match the historical blast furnace temperature information in each historical coal ash data subset with the historical time information based on the historical coal ash data set, construct a coordinate system with time as the horizontal axis and blast furnace temperature as the vertical axis, obtain a historical blast furnace temperature-time curve graph, use the blast furnace temperature corresponding to the flow state of the coal ash as the reference ambient temperature according to the historical coal ash data set and the historical coal ash appearance characteristic information, obtain the reference ambient temperature corresponding to each historical coal ash data subset, obtain a maximum temperature deviation value according to the reference ambient temperature, and use the ratio of the influence coefficient of the coal ash characteristic regulating reagent on the basic characteristic temperature of the coal ash to the influence coefficient on the coal ash viscosity as the reagent influence difference coefficient according to the coal ash characteristic regulating reagent information;

[0150] The display module interacts with the main control module and is used to output and display coal ash melting characteristic temperature information, coal ash characteristic control range, coal ash melting temperature threshold, coal ash viscosity threshold and coal ash control reagent ratio information.

[0151] Main control module, specifically including:

[0152] a control unit configured to obtain blast furnace temperature change rate information based on a temperature change characteristic curve, fit the curve based on a historical blast furnace temperature time curve to obtain a blast furnace temperature time reference curve, obtain blast furnace heating rate information based on the blast furnace temperature time reference curve, obtain ash melting characteristic temperature information based on a heat transfer coefficient and blast furnace heating rate information and a basic characteristic temperature of the ash, and regulate ash characteristics based on a ash viscosity-temperature characteristic curve, an ash melting temperature threshold, and an ash viscosity threshold;

[0153] An information receiving unit, which interacts with the information acquisition module and the evaluation module to receive data and transmit it to the data processing unit;

[0154] A data processing unit is used to filter the reference ambient temperatures in descending order based on the minimum value of the reference ambient temperature corresponding to the historical coal ash data subset, obtain the temperature mapping correction amount based on the filtered reference ambient temperature, and obtain the heat transfer coefficient based on the temperature mapping correction amount.

[0155] Information acquisition module, specifically including:

[0156] a first acquisition unit, configured to acquire coal ash parameter information, the coal ash parameter information including coal ash component type information and mass ratio information corresponding to each coal ash component, perform a fusibility test on the coal ash ash cone, and acquire coal ash fusion test data, the coal ash fusion test data including test environment temperature change data, ash cone height data, and coal ash ash cone appearance characteristic information;

[0157] The second acquisition unit is used to acquire historical coal ash data, wherein the historical coal ash data includes historical coal ash appearance characteristic information, historical blast furnace temperature information and historical time information, and acquires the coal ash viscosity-temperature characteristic curve based on the coal ash parameter information.

[0158] Assessment modules include:

[0159] a first evaluation unit, configured to divide the historical coal ash data based on the blast furnace working cycle, obtain a historical coal ash data set, match the historical blast furnace temperature information in each subset of the historical coal ash data with the historical time information, construct a coordinate system with time as the horizontal axis and blast furnace temperature as the vertical axis, and obtain a historical blast furnace temperature time curve graph;

[0160] The second evaluation unit is used to obtain the reference ambient temperature corresponding to each historical coal ash data subset based on the historical coal ash data set and the historical coal ash appearance characteristic information, and to obtain the maximum temperature deviation value based on the reference ambient temperature. According to the coal ash characteristic control reagent information, the ratio of the influence coefficient of the coal ash characteristic control reagent on the basic characteristic temperature of the coal ash to the influence coefficient on the coal ash viscosity is used as the reagent influence difference coefficient.

[0161] In summary, the advantages of the present invention are: by conducting a fusibility test on the coal ash ash cone, coal ash melting test data is obtained, and the fusibility of the coal ash is accurately analyzed through the coal ash melting test data; through the heat transfer coefficient and historical coal ash data, the coal ash melting characteristic temperature information is obtained based on the coal ash basic characteristic temperature information; the coal ash melting characteristic temperature is used to accurately evaluate the fusibility of the coal ash in the actual production environment; by obtaining the coal ash characteristic control node based on the coal ash melting characteristic temperature information, the accuracy of the coal ash characteristic control is ensured, and the efficiency of the coal ash characteristic control is improved; through the coal ash control reagent ratio information, the coal ash characteristic control method is specifically restricted, which avoids the superposition effect of different control reagents affecting the accuracy of the coal ash characteristic control and improves the stability of the coal ash characteristic control.

[0162] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions merely illustrate the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for intelligently controlling coal ash characteristics based on big data analysis, characterized in that: include: Acquiring coal ash parameter information, wherein the coal ash parameter information includes coal ash component type information and mass ratio information corresponding to each coal ash component; According to the coal ash parameter information and based on the coal ash fusibility test, the coal ash melting characteristic temperature information is obtained; Based on the coal ash parameter information, a coal ash viscosity-temperature characteristic curve is obtained, wherein the coal ash viscosity-temperature characteristic curve represents the change of coal ash viscosity with temperature; Based on the coal ash melting characteristic temperature information, the coal ash characteristic control node is obtained; According to the coal ash characteristic control node, the coal ash characteristic control range is obtained; Based on the blast furnace ash characteristics requirements, the ash melting temperature threshold and ash viscosity threshold corresponding to each ash characteristics control range are obtained; According to the coal ash viscosity-temperature characteristic curve, coal ash melting temperature threshold and coal ash viscosity threshold, the coal ash characteristics are regulated; The method of obtaining the coal ash melting characteristic temperature information based on the coal ash parameter information and the coal ash fusibility test specifically includes: According to the coal ash parameter information and based on the coal ash fusion test requirements, the coal ash cone is manufactured; Performing a fusibility test on the coal ash cone to obtain coal ash fusion test data, wherein the coal ash fusion test data includes test environment temperature change data, ash cone height data, and coal ash cone appearance feature information; According to the coal ash melting test data, based on the test environment temperature corresponding to the coal ash ash cone appearance characteristics, the coal ash basic characteristic temperature information is obtained, and the coal ash basic characteristic temperature includes deformation temperature, softening temperature, hemispherical temperature and flow temperature; Acquire historical coal ash data, wherein the historical coal ash data represents coal ash data during the historical operation of the blast furnace, and the historical coal ash data includes historical coal ash appearance characteristic information, historical blast furnace temperature information, and historical time information; Based on historical coal ash data, the heat transfer coefficient is obtained; According to the heat transfer coefficient and historical coal ash data, the coal ash melting characteristic temperature information is obtained based on the coal ash basic characteristic temperature information; The control of the coal ash characteristics according to the coal ash viscosity-temperature characteristic curve, the coal ash melting temperature threshold, and the coal ash viscosity threshold specifically includes: Obtaining coal ash property control reagent information based on the coal ash parameter information, wherein the coal ash property control reagent information includes coal ash property control reagent type information and an influence coefficient of each coal ash property control reagent on the coal ash basic characteristic temperature and coal ash viscosity; According to the information of the coal ash characteristic control reagent, the ratio of the influence coefficient of the coal ash characteristic control reagent on the coal ash basic characteristic temperature to the influence coefficient on the coal ash viscosity is used as the reagent influence difference coefficient; According to the coal ash characteristic control node and the coal ash viscosity-temperature characteristic curve, the coal ash melting temperature and coal ash viscosity corresponding to each coal ash characteristic control node are obtained; The ratio of the difference between the ash melting temperature and the ash melting temperature threshold corresponding to each ash characteristic control node to the ash melting temperature is used as the ash melting characteristic control coefficient; The ratio of the difference between the coal ash viscosity and the coal ash viscosity threshold corresponding to each coal ash characteristic control node to the coal ash viscosity is used as the coal ash viscosity-temperature characteristic control coefficient; The ratio of the coal ash melting characteristic control coefficient to the coal ash viscosity-temperature characteristic control coefficient is used as the coal ash characteristic control difference coefficient; The coal ash property control reagent corresponding to the maximum absolute value of the difference between the reagent influence difference coefficient and the coal ash property control difference coefficient corresponding to each coal ash property control interval is used as the first coal ash control reagent corresponding to the coal ash property control interval; Using any coal ash property control reagent as the second coal ash control reagent, adjusting the ratio of the first coal ash control reagent to the second coal ash control reagent until the coal ash melting temperature meets the coal ash melting temperature threshold and the coal ash viscosity meets the coal ash viscosity threshold, thereby obtaining coal ash control reagent ratio information; The coal ash characteristics are regulated based on the coal ash regulating reagent ratio information.

2. The method for intelligently controlling coal ash characteristics based on big data analysis according to claim 1, characterized in that: The heat transfer coefficient is obtained based on historical coal ash data, specifically including: According to the historical coal ash data, the historical coal ash data is divided based on the blast furnace working cycle to obtain a historical coal ash data set, wherein the historical coal ash data set includes a plurality of historical coal ash data subsets, each of the historical coal ash data subsets corresponds to a blast furnace working cycle; Based on the historical coal ash dataset, the historical blast furnace temperature information in each historical coal ash data subset is matched with the historical time information. A coordinate system is constructed with time as the horizontal axis and blast furnace temperature as the vertical axis to obtain a historical blast furnace temperature time curve graph. Based on the historical coal ash dataset and historical coal ash appearance characteristic information, the blast furnace temperature corresponding to the flow state of the coal ash is used as the reference ambient temperature to obtain the reference ambient temperature corresponding to each historical coal ash data subset; Based on the historical coal ash data subset, the slope of the curve corresponding to the reference ambient temperature in the historical blast furnace temperature-time curve is used as the temperature change rate corresponding to the reference ambient temperature; According to the historical coal ash appearance characteristic information, the coal ash appearance collection period is obtained; The product of the minimum value of the reference ambient temperature and the coal ash appearance collection period is taken as the maximum temperature deviation value; The coal ash melting characteristic temperature information is obtained based on the maximum temperature deviation value.

3. The method for intelligently controlling coal ash characteristics based on big data analysis according to claim 2, characterized in that: The step of obtaining the coal ash melting characteristic temperature information according to the maximum temperature deviation value specifically includes: Based on the minimum value of the reference ambient temperature corresponding to the historical coal ash data subset, the reference ambient temperatures are screened in descending order until the difference between the maximum value of the reference ambient temperature and the minimum value of the reference ambient temperature does not exceed the maximum temperature deviation value; The average value of all the reference ambient temperatures after screening is used as the first calibration ambient temperature, and the average of the maximum and minimum values ​​of the reference ambient temperatures after screening is used as the second calibration ambient temperature; The ratio of the difference between the first calibration ambient temperature and the second calibration ambient temperature to the difference between the maximum and minimum values ​​of the screened reference ambient temperature is used as the calibration deviation coefficient; According to the maximum temperature deviation value, the product of half of the maximum temperature deviation value and the calibration deviation coefficient is used as the estimated offset; Based on the minimum value of the reference ambient temperature, the difference between the minimum value of the reference ambient temperature and the estimated offset is used as the critical ambient temperature; The difference between the critical ambient temperature and the flow temperature is used as the temperature mapping correction; According to the basic characteristic temperature information of the coal ash and based on the temperature mapping correction amount, the basic characteristic temperature of the coal ash is corrected to obtain the coal ash melting characteristic temperature information.

4. The method for intelligently controlling coal ash characteristics based on big data analysis according to claim 3 is characterized in that: The method of correcting the basic characteristic temperature of the coal ash based on the basic characteristic temperature information of the coal ash and the temperature mapping correction amount to obtain the coal ash melting characteristic temperature information specifically includes: According to the historical blast furnace temperature time curve corresponding to the minimum value of the reference ambient temperature, the historical blast furnace temperature time curve corresponding to the critical ambient temperature and the minimum value of the reference ambient temperature is used as the temperature change characteristic curve; According to the temperature change characteristic curve, the blast furnace temperature change rate information is obtained, wherein the blast furnace temperature change rate information represents the temperature change characteristic curve slope corresponding to different temperatures in the temperature change characteristic curve as the blast furnace temperature change rate corresponding to the blast furnace temperature; According to the test environment temperature change data, obtain the test temperature change rate information; Obtaining the heat transfer coefficient based on the test temperature change rate information, the blast furnace temperature change rate information and the temperature mapping correction amount; According to the historical blast furnace temperature time curve, the curve is fitted to obtain the blast furnace temperature time reference curve; According to the blast furnace temperature time benchmark curve, obtain the blast furnace heating rate information; According to the heat transfer coefficient, blast furnace heating rate information, and the basic characteristic temperature of the coal ash, the coal ash melting characteristic temperature information is obtained; The heat transfer coefficient is specifically: Where, is the heat transfer coefficient, is the critical ambient temperature, is the flow temperature, Indicates the blast furnace temperature is The corresponding blast furnace temperature change rate is Indicates the test temperature change rate, is the initial temperature before the blast furnace is started; The coal ash melting characteristic temperature is specifically: Where, For the The characteristic temperature of coal ash melting, For the The basic characteristic temperature of coal ash, ,in is the deformation temperature, is the softening temperature, is the hemispheric temperature, is the flow temperature, For the A correction value for the basic characteristic temperature of coal ash.

5. An intelligent control system for coal ash characteristics based on big data analysis, used to implement the control method according to any one of claims 1 to 4, characterized in that: include: a main control module, the main control module being configured to screen the reference ambient temperatures in descending order based on the minimum value of the reference ambient temperature corresponding to the historical coal ash data subset, obtain a temperature mapping correction value based on the screened reference ambient temperature, obtain a heat transfer coefficient based on the temperature mapping correction value, obtain blast furnace temperature change rate information based on a temperature change characteristic curve, fit the curve based on a historical blast furnace temperature time curve to obtain a blast furnace temperature time reference curve, obtain blast furnace heating rate information based on the blast furnace temperature time reference curve, obtain coal ash melting characteristic temperature information based on the heat transfer coefficient and the blast furnace heating rate information and the coal ash basic characteristic temperature, and regulate coal ash characteristics based on the coal ash viscosity-temperature characteristic curve, the coal ash melting temperature threshold, and the coal ash viscosity threshold; an information acquisition module, the information acquisition module being used to acquire coal ash parameter information, the coal ash parameter information including coal ash component type information and mass ratio information corresponding to each coal ash component; perform a fusibility test on the coal ash ash cone to acquire coal ash melting test data, the coal ash melting test data including test environment temperature change data, ash cone height data, and coal ash ash cone appearance characteristic information; acquire historical coal ash data including historical coal ash appearance characteristic information, historical blast furnace temperature information, and historical time information; and acquire a coal ash viscosity-temperature characteristic curve based on the coal ash parameter information; an evaluation module, the evaluation module being configured to divide the historical coal ash data based on the blast furnace working cycle according to the historical coal ash data, obtain a historical coal ash data set, match the historical blast furnace temperature information in each historical coal ash data subset with the historical time information based on the historical coal ash data set, construct a coordinate system with time as the horizontal axis and blast furnace temperature as the vertical axis, obtain a historical blast furnace temperature-time curve graph, use the blast furnace temperature corresponding to the flow state of the coal ash as the reference ambient temperature according to the historical coal ash data set and the historical coal ash appearance characteristic information, obtain the reference ambient temperature corresponding to each historical coal ash data subset, obtain a maximum temperature deviation value according to the reference ambient temperature, and use the ratio of the influence coefficient of the coal ash characteristic regulating reagent on the basic characteristic temperature of the coal ash to the influence coefficient on the coal ash viscosity as the reagent influence difference coefficient according to the coal ash characteristic regulating reagent information; The display module interacts with the main control module and is used to output and display coal ash melting characteristic temperature information, coal ash characteristic control range, coal ash melting temperature threshold, coal ash viscosity threshold and coal ash control reagent ratio information.

6. The intelligent control system for coal ash characteristics based on big data analysis according to claim 5 is characterized in that: The main control module specifically includes: a control unit configured to obtain blast furnace temperature change rate information based on a temperature change characteristic curve, fit the curve based on a historical blast furnace temperature time curve to obtain a blast furnace temperature time reference curve, obtain blast furnace heating rate information based on the blast furnace temperature time reference curve, obtain ash melting characteristic temperature information based on a heat transfer coefficient and blast furnace heating rate information and a basic characteristic temperature of the ash, and regulate ash characteristics based on a ash viscosity-temperature characteristic curve, an ash melting temperature threshold, and an ash viscosity threshold; An information receiving unit, which interacts with the information acquisition module and the evaluation module to receive data and transmit it to the data processing unit; A data processing unit is used to filter the reference ambient temperatures in descending order based on the minimum value of the reference ambient temperature corresponding to the historical coal ash data subset, obtain the temperature mapping correction amount based on the filtered reference ambient temperature, and obtain the heat transfer coefficient based on the temperature mapping correction amount.

7. The intelligent control system for coal ash characteristics based on big data analysis according to claim 5 is characterized in that: The information acquisition module specifically includes: a first acquisition unit, configured to acquire coal ash parameter information, the coal ash parameter information including coal ash component type information and mass ratio information corresponding to each coal ash component, perform a fusibility test on the coal ash ash cone, and acquire coal ash fusion test data, the coal ash fusion test data including test environment temperature change data, ash cone height data, and coal ash ash cone appearance characteristic information; The second acquisition unit is used to acquire historical coal ash data, wherein the historical coal ash data includes historical coal ash appearance characteristic information, historical blast furnace temperature information and historical time information, and acquires the coal ash viscosity-temperature characteristic curve based on the coal ash parameter information.

8. The intelligent control system for coal ash characteristics based on big data analysis according to claim 5 is characterized in that: The evaluation module specifically includes: a first evaluation unit, configured to divide the historical coal ash data based on the blast furnace working cycle, obtain a historical coal ash data set, match the historical blast furnace temperature information in each subset of the historical coal ash data with the historical time information, construct a coordinate system with time as the horizontal axis and blast furnace temperature as the vertical axis, and obtain a historical blast furnace temperature time curve graph; The second evaluation unit is used to obtain the reference ambient temperature corresponding to each historical coal ash data subset based on the historical coal ash data set and the historical coal ash appearance characteristic information, and to obtain the maximum temperature deviation value based on the reference ambient temperature. According to the coal ash characteristic control reagent information, the ratio of the influence coefficient of the coal ash characteristic control reagent on the basic characteristic temperature of the coal ash to the influence coefficient on the coal ash viscosity is used as the reagent influence difference coefficient.

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