A stability evaluation and optimization method for dynamic inscribed circle of slag phase diagram facing on-site thermal system fluctuation

Abstract

The present application belongs to the technical field of blast furnace ironmaking, and particularly relates to a method for dynamic inscribed circle stability evaluation and optimization of slag phase diagram for on-site thermal system fluctuation. Fluctuation of multi-element slag composition which is difficult to quantitatively evaluate in the traditional way is converted into geometric parameters which can be quantitatively compared. The anti-fluctuation ability of the composition load brought by the raw fuel resources can be evaluated, the mapping relationship between the inscribed circle and the composition load is constructed, the enterprise is guided to expand the raw material selection space, reduce the dependence on high-grade ore, and ensure the smelting efficiency while promoting the optimization of the raw material structure and the reduction of the production cost.

Description

Technical Field

[0001] This invention relates to the field of blast furnace ironmaking technology, and in particular to a method for evaluating and optimizing the stability of the dynamic inscribed circle of the slag phase diagram in response to on-site thermal regime fluctuations. Background Technology

[0002] Iron ore is an essential raw material in blast furnace ironmaking; however, with the accelerated development of mineral resources, concentrate reserves are dwindling. To reduce production costs, steel companies are continuously increasing the proportion of low-grade ore used in blast furnaces. Using low-grade ore for blast furnace smelting has become a mainstream trend. As a byproduct of blast furnace ironmaking, blast furnace slag's metallurgical properties are crucial to the stable operation of the blast furnace. With the increased proportion of low-grade ore used, the Al2O3 content in blast furnace slag rises, leading to increased slag viscosity and deteriorated fluidity, severely impacting blast furnace smelting efficiency and stability.

[0003] Currently, traditional blast furnace slag optimization mainly focuses on performance indicators. However, under high-temperature smelting environments, there is still a lack of effective quantitative methods to assess the impact of compositional fluctuations on slag stability, which limits the control of the operating window in blast furnace smelting. Especially for enterprises, the fluctuations in slag composition caused by the fluctuations in raw material resources are beyond control. Defining a reasonable fluctuation range for slag composition to guide raw material selection has always been a challenge for the industry. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention proposes a method for evaluating and optimizing the stability of the dynamic inscribed circle of the slag phase diagram in response to on-site thermal regime fluctuations.

[0005] According to a first aspect of the present invention, the present invention provides the following technical solution: A method for evaluating and optimizing the dynamic inscribed circle stability of slag phase diagrams in response to on-site thermal regime fluctuations includes the following steps: S1, collecting blast furnace slag composition and molten iron physical heat T Iron Parameters; S2. Establish a superheat standard for blast furnace slag, setting the superheat to T. S ;T S Take the statistical values ​​(mean / quantiles) of the most recent N stable sequential intervals, when T Iron When the fluctuation exceeds the threshold, T is recalculated. L And update the anti-fluctuation window; S3. Use thermodynamic software to draw a slag phase diagram including the slag liquidus line, with the liquidus line temperature set to T. L ; S4. Divide the slag phase diagram into compositional ranges based on the lower limit of blast furnace slag basicity. S5. Draw an inscribed circle for the divided component intervals based on the slag composition content; S6. Calculate the radius of the inscribed circle of the divided slag composition interval; S7. Calculate the composition fluctuation content based on the radius of the inscribed circle to determine the slag composition's resistance to fluctuation under this load condition; S8. Repeat steps S1-S7 to draw inscribed circles on the slag phase diagrams under different loads, thermal regimes, and composition conditions. Establish the corresponding curve relationship between the radius of the inscribed circle and the slag composition to guide the optimization of the blast furnace slag system.

[0006] As a preferred embodiment of the dynamic inscribed circle stability evaluation and optimization method for slag phase diagrams oriented towards on-site thermal regime fluctuations described in this invention, wherein: in step S1, the physical heat T of molten iron Iron This refers to the temperature of the molten iron measured on-site.

[0007] As a preferred embodiment of the dynamic inscribed circle stability evaluation and optimization method for slag phase diagrams oriented towards on-site thermal regime fluctuations described in this invention, wherein: in step S2, the superheat T S The superheat standard for slag produced for stable and smooth operation of blast furnaces on site.

[0008] As a preferred embodiment of the dynamic inscribed circle stability evaluation and optimization method for slag phase diagrams oriented towards on-site thermal regime fluctuations described in this invention, wherein: in step S3, the liquidus temperature T L =T Iron -T S The slag phase diagram was drawn using the Phase Diagram module of the Factsage thermodynamics software.

[0009] As a preferred embodiment of the dynamic inscribed circle stability evaluation and optimization method of slag phase diagram for on-site thermal regime fluctuations described in this invention, in step S4, the lower limit of basicity is constrained by the actual slag composition and blast furnace slagging regime.

[0010] As a preferred embodiment of the dynamic inscribed circle stability evaluation and optimization method for slag phase diagrams oriented towards on-site thermal regime fluctuations described in this invention, in step S5, the component content is constrained by the raw material load entering the furnace, and the component content load is the content corresponding to the center of the inscribed circle.

[0011] As a preferred embodiment of the dynamic inscribed circle stability evaluation and optimization method for slag phase diagrams oriented towards on-site thermal regime fluctuations described in this invention, in step S6, the interval length of the component content change Δw in the phase diagram is taken as the standard value, the radius of the standard value is denoted as R0, and the anti-fluctuation index AFI = R / R0 is defined, where R is the radius of the inscribed circle; the anti-fluctuation index AFI is used for quantitative comparison and judgment of the slag's anti-fluctuation ability under different loads, thermal regimes and composition conditions; preferably, Δw is 5wt%, and R0 is 1.

[0012] As a preferred embodiment of the dynamic inscribed circle stability evaluation and optimization method of slag phase diagram for on-site thermal regime fluctuations described in this invention, in step S2, the superheat TS is obtained by statistical analysis of the slag superheat of the stable sequential blast furnace in the field. The statistical method is to take the average or quantile value of the superheat of the most recent N consecutive stable sequential blast furnaces as the superheat standard, where N is a positive integer.

[0013] As a preferred embodiment of the dynamic inscribed circle stability evaluation and optimization method for slag phase diagrams oriented towards on-site thermal regime fluctuations described in this invention, wherein: in step S2, when the on-site detected physical heat T of the molten iron... Iron The change exceeds a first preset threshold, or the superheat T S When the change relative to the previous statistical period exceeds the second preset threshold, the liquidus temperature T is recalculated. L And based on the updated T L Repeat steps S3-S7 to obtain the updated inscribed circle radius and slag anti-fluctuation capability.

[0014] As a preferred embodiment of the dynamic inscribed circle stability evaluation and optimization method for slag phase diagrams oriented towards on-site thermal regime fluctuations as described in this invention, in step S1, the fluctuation range or statistical distribution parameters of the chemical composition of the raw materials fed into the furnace are further collected, and the fluctuation distribution of the target slag composition is calculated based on the raw material ratio fed into the furnace; in step S7, the probability P of the target slag composition falling into the allowable fluctuation range determined by the radius of the inscribed circle is calculated, and the probability P is used as a quantitative indicator of the slag's resistance to fluctuation risk.

[0015] As a preferred embodiment of the dynamic inscribed circle stability evaluation and optimization method for slag phase diagrams in response to on-site thermal regime fluctuations described in this invention, the method classifies the risk of counter-fluctuation based on probability P, and the classification includes at least low risk, medium risk, and high risk; preferably, P ≥ 0.90 is determined as low risk, 0.75 ≤ P < 0.90 is determined as medium risk, and P < 0.75 is determined as high risk, and slag system optimization suggestions are output based on the risk classification.

[0016] The beneficial effects of this invention are as follows: This invention proposes a dynamic inscribed circle stability evaluation and optimization method for slag phase diagrams in response to on-site thermal regime fluctuations. It transforms the traditionally difficult-to-quantify fluctuations in multi-component slag composition into quantifiable and comparable geometric parameters. The method can assess the slag's resistance to fluctuations based on the component loads brought in by raw materials and fuels, and construct a mapping relationship between the inscribed circle and the component loads. This guides enterprises to expand their raw material selection space, reduce their dependence on high-grade ores, ensure smelting efficiency, and promote the optimization of raw material structure and the reduction of production costs. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0018] Figure 1 This is the phase diagram of the slag system with an MgO content of 8 wt% in Example 1 of the present invention.

[0019] Figure 2 This is a schematic diagram of dividing the slag phase diagram into compositional ranges based on the lower limit of blast furnace slag basicity in Embodiment 1 of the present invention.

[0020] Figure 3 This is a schematic diagram of the inscribed circle of the component intervals divided according to the Al2O3 content load of the slag in Embodiment 1 of the present invention.

[0021] Figure 4 This is the phase diagram of the slag system with an MgO content of 8wt% in Example 2 of the present invention.

[0022] Figure 5 This is a schematic diagram of dividing the slag phase diagram into compositional ranges based on the lower limit of blast furnace slag basicity in Embodiment 2 of the present invention.

[0023] Figure 6 This is a schematic diagram of the inscribed circle of the component intervals divided according to the Al2O3 content load of the slag in Embodiment 2 of the present invention.

[0024] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0025] The technical solutions described below in conjunction with the embodiments will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] This invention proposes a dynamic inscribed circle stability evaluation and optimization method for slag phase diagrams in response to on-site thermal regime fluctuations. The metallurgical slag phase diagram reflects the compositional range information of a multi-component slag system that can maintain a liquid phase state. Therefore, by introducing an inscribed circle to characterize the anti-fluctuation ability of the liquid phase composition, the radius of the inscribed circle is used to measure the compositional stability of the slag, thereby optimizing the slag composition, reducing raw material costs, and improving the operational stability of the blast furnace.

[0027] This invention proposes a method for evaluating and optimizing the dynamic inscribed circle stability of slag phase diagrams in response to on-site thermal regime fluctuations, comprising the following steps: S1, collecting blast furnace slag composition and molten iron physical heat T Iron Parameters; S2. Establish a superheat standard for blast furnace slag, setting the superheat to T. S ;T S Take the statistical values ​​(mean / quantiles) of the most recent N stable sequential intervals, when T Iron When the fluctuation exceeds the threshold, T is recalculated. L And update the anti-fluctuation window; S3. Use thermodynamic software to draw a slag phase diagram including the slag liquidus line, with the liquidus line temperature set to T. L ; S4. Divide the slag phase diagram into compositional ranges based on the lower limit of blast furnace slag basicity. S5. Draw an inscribed circle for the divided component intervals based on the slag composition content; S6. Calculate the radius of the inscribed circle of the divided slag composition interval; S7. Calculate the composition fluctuation content based on the radius of the inscribed circle to determine the slag composition's resistance to fluctuation under this load condition; S8. Repeat steps S1-S7 to draw inscribed circles on the slag phase diagrams under different loads, thermal regimes, and composition conditions. Establish the corresponding curve relationship between the radius of the inscribed circle and the slag composition to guide the optimization of the blast furnace slag system.

[0028] Preferably, in step S1, the physical heat T of the molten iron Iron This refers to the temperature of the molten iron measured on-site.

[0029] Preferably, in step S2, the superheat T S The superheat standard for slag produced for stable and smooth operation of blast furnaces on site.

[0030] Preferably, in step S3, the liquidus temperature T L =T Iron -T S The slag phase diagram was drawn using the Phase Diagram module of the Factsage thermodynamics software.

[0031] Preferably, in step S4, the lower limit of alkalinity is constrained by the actual slag composition and the blast furnace slagging system.

[0032] Preferably, in step S5, the component content is constrained by the load of raw materials entering the furnace, and the component content load is the content corresponding to the center of the inscribed circle.

[0033] Preferably, in step S6, the length of the interval of component content change Δw in the phase diagram is taken as the standard value, the radius of the standard value is denoted as R0, and the anti-fluctuation index AFI = R / R0 is defined, where R is the radius of the inscribed circle; the anti-fluctuation index AFI is used for quantitative comparison and judgment of the anti-fluctuation ability of slag under different loads, thermal regimes and composition conditions; preferably, Δw is 5wt%, and R0 is 1.

[0034] Preferably, in step S2, the superheat TS is obtained by statistical analysis of the slag superheat of the stable sequential blast furnace runs on site. The statistical method is to take the average or quantile value of the superheat of the most recent N consecutive stable sequential blast furnace runs as the superheat standard, where N is a positive integer.

[0035] Preferably, in step S2, when the physical heat T of the molten iron is detected on-site... Iron The change exceeds a first preset threshold, or the superheat T S When the change relative to the previous statistical period exceeds the second preset threshold, the liquidus temperature T is recalculated. L And based on the updated T L Repeat steps S3-S7 to obtain the updated inscribed circle radius and slag anti-fluctuation capability.

[0036] Preferably, in step S1, the fluctuation range or statistical distribution parameters of the chemical composition of the raw materials fed into the furnace are further collected, and the fluctuation distribution of the target slag composition is calculated based on the ratio of the raw materials fed into the furnace; in step S7, the probability P of the target slag composition falling into the allowable fluctuation range determined by the radius of the inscribed circle is calculated, and the probability P is used as a quantitative indicator of the slag's resistance to fluctuation risk.

[0037] Preferably, the risk of volatility is classified according to the probability P, and the classification includes at least low risk, medium risk and high risk; preferably, P ≥ 0.90 is judged as low risk, 0.75 ≤ P < 0.90 is judged as medium risk, and P < 0.75 is judged as high risk, and optimization suggestions for the slag system are output according to the risk classification.

[0038] The technical solution of the present invention will be further described below with reference to specific embodiments.

[0039] Example 1 This embodiment presents a method for evaluating and optimizing the dynamic inscribed circle stability of the slag phase diagram in response to on-site thermal regime fluctuations in a blast furnace, using Al2O3 content load as an example: 1) Collect the composition of the blast furnace slag and the physical heat of the molten iron. Iron Parameters such as these were used. Based on the analysis data and proportioning of the raw materials and fuels fed into the furnace, the statistical distribution of Al2O3 load in the slag was obtained: mean 15.5 wt%, standard deviation 1.5 wt%. The lower limit of basicity was 1.0, and the MgO content was 8 wt%. The physical heat capacity of the molten iron (T) was...Iron The temperature is 1500℃.

[0040] 2) Establish a superheat standard for blast furnace slag, and statistically analyze the superheat data from the most recent consecutive N=30 heats of stable, sequential operation. The superheat T... S The temperature was maintained at 40°C according to the thermal regime.

[0041] 3) During the first calculation cycle, the physical heat T of the molten iron was measured on-site. Iron It is 1500℃. Based on the liquidus temperature T... L =T Iron -T S T was calculated. L =1500-40=1460℃. The phase diagram of the slag system with an MgO content of 8wt% was plotted using the Phase Diagram module of the Factsage thermodynamics software (e.g., Figure 1 As shown), liquidus temperature T L Set to 1460℃.

[0042] 4) Divide the slag phase diagram into compositional ranges based on the lower limit of blast furnace slag basicity (e.g., ...). Figure 2 As shown in the figure, the lower limit of alkalinity is 1.0.

[0043] 5) Based on the Al2O3 content load in the slag, draw an inscribed circle for the divided composition intervals. The Al2O3 content load introduced is 15.5 wt%, which corresponds to the content at the center of the circle (e.g., Figure 3 (as shown) 6) Calculate the radius of the inscribed circle of the divided slag composition intervals. The radius of the inscribed circle is 0.607. Taking the interval length corresponding to the component content change Δw = 5wt% corresponding to the standard value of the inscribed circle radius R0 = 1 as the standard value, the anti-fluctuation index AFI = R / R0 = 0.607.

[0044] 7) Calculate the fluctuating Al2O3 content based on the inscribed circle radius of 0.607. The fluctuation is 0.607 × 5% = 3.035%. Determine the Al2O3 resistance to fluctuation under this load condition as 15.5% ± 3.035%, meaning that the Al2O3 content in the blast furnace slag can fluctuate between 12.465% and 18.535% and remain stable.

[0045] 8) Perform T L Dynamic updates: When entering the next shift, the physical heat of molten iron is measured on-site. Iron The temperature dropped to 1480℃, a change of 20℃ relative to the previous cycle, exceeding the preset threshold by 10℃, triggering an update. The liquidus temperature T was recalculated. L=1480-40=1440℃, and based on the updated TL=1480℃, repeat steps 3)-7) to obtain the updated inscribed circle radius R'=0.327, corresponding to the anti-fluctuation index AFI'=0.327; the corresponding Al2O3 allowable fluctuation is R'×Δw=0.327×5%=1.635%, and the allowable fluctuation range is 13.865%~17.135%.

[0046] 9) Evaluation based on probabilistic risk: Based on the statistical distribution of slag Al2O3 load obtained in step 1) (mean 15.5wt%, standard deviation 1.5wt%), calculate the probability P that the slag Al2O3 load falls within the updated allowable fluctuation range [13.865%, 17.135%]. The calculated value is P≈0.724. Based on the risk classification thresholds (P≥0.90 for low risk, 0.75≤P<0.90 for medium risk, and P<0.75 for high risk), the slag's resistance to fluctuation is determined to be high under this condition. It is necessary to repeat steps S1-S8 to establish the corresponding curve relationship between "inscribed circle radius / fluctuation resistance index (AFI) - slag composition" to guide adjustments to MgO content, lower limit of basicity, and target component points, thereby improving R and AFI and increasing the probability P, thus reducing the resistance to fluctuation risk.

[0047] Example 2 This embodiment presents a method for evaluating and optimizing the dynamic inscribed circle stability of the slag phase diagram in response to on-site thermal regime fluctuations in a blast furnace, using Al2O3 content load as an example: 1) Collect the composition of the blast furnace slag and the physical heat of the molten iron. Iron Parameters such as these were used. Based on the analysis data and proportioning of the raw materials and fuels fed into the furnace, the statistical distribution of Al2O3 load in the slag was obtained: mean 20 wt%, standard deviation 1.5 wt%. The lower limit of basicity was 1.0, and the MgO content was 9 wt%. The physical heat capacity of the molten iron (T) was... Iron The temperature is 1520℃.

[0048] 2) Establish a superheat standard for blast furnace slag, and statistically analyze the superheat data from the most recent consecutive N=30 heats of stable, sequential operation. The superheat T... S The temperature was maintained at 40°C according to the thermal regime.

[0049] 3) During the first calculation cycle, the physical heat T of the molten iron was measured on-site. Iron It is 1520℃. Based on the liquidus temperature T... L =T Iron -T S T was calculated. L =1520-40=1480℃. The phase diagram of the slag system with 9wt% MgO was plotted using the Phase Diagram module of the Factsage thermodynamics software (e.g., Figure 4As shown), liquidus temperature T L Set to 1480℃.

[0050] 4) Divide the slag phase diagram into compositional ranges based on the lower limit of blast furnace slag basicity (e.g., ...). Figure 5 As shown in the figure, the lower limit of alkalinity is 1.0.

[0051] 5) Draw an inscribed circle based on the Al2O3 content load of the slag to divide the composition range, and the Al2O3 content load introduced is 20wt%, which corresponds to the content at the center of the circle (e.g., Figure 6 (as shown) 6) Calculate the radius of the inscribed circle of the divided slag composition intervals. The radius of the inscribed circle is 0.667. Taking the interval length corresponding to the component content change Δw = 5wt% corresponding to the standard value of the inscribed circle radius R0 = 1 as the standard value, the anti-fluctuation index AFI = R / R0 = 0.667.

[0052] 7) Calculate the fluctuating Al2O3 content based on the inscribed circle radius of 0.667. The fluctuation is 0.667 × 5% = 3.335%. Determine the Al2O3 resistance to fluctuation under this load condition as 20% ± 3.335%, meaning that the Al2O3 content in the blast furnace slag can fluctuate between 16.665% and 23.335% and remain stable.

[0053] 8) Perform T L Dynamic updates: When entering the next shift, the physical heat of molten iron is measured on-site. Iron The temperature rises to 1525℃, and the change relative to the previous cycle is 5℃, which does not exceed the preset threshold of 10℃, so no update is triggered.

[0054] 9) Evaluation based on probabilistic risk: Based on the statistical distribution of slag Al2O3 load obtained in step 1) (mean 20wt%, standard deviation 1.5wt%), calculate the probability P that the slag Al2O3 load falls within the updated allowable fluctuation range [16.665%, 23.335%]. The calculated value is P≈0.974. Based on the risk classification thresholds (P≥0.90 for low risk, 0.75≤P<0.90 for medium risk, and P<0.75 for high risk), the slag's resistance to fluctuation risk under this operating condition is determined to be low, therefore no adjustment is required.

[0055] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural transformations made using the contents of the present invention under the inventive concept of the present invention, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A method for evaluating and optimizing the dynamic inscribed circle stability of slag phase diagrams in response to on-site thermal regime fluctuations, characterized in that, Includes the following steps: S1. Collection of blast furnace slag components and molten iron physical heat T Iron Parameters; S2. Establish a superheat standard for blast furnace slag, setting the superheat to T. S T S Take the statistical value of the most recent N stable sequential intervals, when T Iron When the fluctuation exceeds the threshold, T is recalculated. L And update the anti-fluctuation window; S3. Use thermodynamic software to draw a slag phase diagram including the slag liquidus line, with the liquidus line temperature set to T. L ; S4. Divide the slag phase diagram into compositional ranges based on the lower limit of blast furnace slag basicity. S5. Draw an inscribed circle for the divided component intervals based on the slag composition content; S6. Calculate the radius of the inscribed circle of the divided slag composition interval; S7. Calculate the composition fluctuation content based on the radius of the inscribed circle, and determine the slag composition's resistance to fluctuation under the corresponding conditions; S8. Repeat steps S1-S7 to draw inscribed circles on the slag phase diagrams under different loads, thermal regimes, and composition conditions. Establish the corresponding curve relationship between the radius of the inscribed circle and the slag composition to guide the optimization of the blast furnace slag system.

2. The method for evaluating and optimizing the dynamic inscribed circle stability of slag phase diagrams oriented towards on-site thermal regime fluctuations, as described in claim 1, is characterized in that... In step S1, the physical heat of molten iron T Iron This refers to the temperature of the molten iron measured on-site.

3. The method for evaluating and optimizing the dynamic inscribed circle stability of slag phase diagrams for on-site thermal regime fluctuations as described in claim 1, is characterized in that... In step S2, the superheat T S The superheat standard for slag produced for stable and smooth operation of blast furnaces on site.

4. The method for evaluating and optimizing the dynamic inscribed circle stability of slag phase diagrams for on-site thermal regime fluctuations as described in claim 1, characterized in that, In step S3, the liquidus temperature T L =T Iron -T S The slag phase diagram was drawn using the Phase Diagram module of the Factsage thermodynamics software.

5. The method for evaluating and optimizing the dynamic inscribed circle stability of slag phase diagrams for on-site thermal regime fluctuations as described in claim 1, characterized in that, In step S4, the lower limit of alkalinity is constrained by the actual slag composition and the blast furnace slagging system.

6. The method for evaluating and optimizing the dynamic inscribed circle stability of slag phase diagrams for on-site thermal regime fluctuations according to claim 1, characterized in that, In step S5, the component content is constrained by the load of raw materials entering the furnace, and the component content load is the content corresponding to the center of the inscribed circle.

7. The method for evaluating and optimizing the dynamic inscribed circle stability of slag phase diagrams for on-site thermal regime fluctuations according to claim 1, characterized in that, In step S6, the length of the interval of component content change Δw in the phase diagram is taken as the standard value, the radius of the standard value is denoted as R0, and the anti-fluctuation index AFI = R / R0 is defined, where R is the radius of the inscribed circle; the anti-fluctuation index AFI is used for quantitative comparison and judgment of the anti-fluctuation ability of slag under different loads, thermal regimes and composition conditions; preferably, Δw is 5wt%, and R0 is 1.

8. The method for evaluating and optimizing the dynamic inscribed circle stability of slag phase diagrams for on-site thermal regime fluctuations according to claim 1, characterized in that, In step S2, the superheat TS is obtained by statistical analysis of the slag superheat of the stable and continuous blast furnace cycles on site. The statistical method is to take the average or quantile value of the superheat of the most recent N consecutive stable and continuous blast furnace cycles as the superheat standard, where N is a positive integer. When the physical heat of molten iron is measured on site, T Iron The change exceeds a first preset threshold, or the superheat T S When the change relative to the previous statistical period exceeds the second preset threshold, the liquidus temperature T is recalculated. L And based on the updated T L Repeat steps S3-S7 to obtain the updated inscribed circle radius and slag anti-fluctuation capability.

9. The method for evaluating and optimizing the dynamic inscribed circle stability of slag phase diagrams for on-site thermal regime fluctuations according to claim 1, characterized in that, In step S1, the fluctuation range or statistical distribution parameters of the chemical composition of the raw materials fed into the furnace are further collected, and the fluctuation distribution of the target slag composition is calculated based on the ratio of the raw materials fed into the furnace; in step S7, the probability P of the target slag composition falling into the allowable fluctuation range determined by the radius of the inscribed circle is calculated, and the probability P is used as a quantitative indicator of the slag's resistance to fluctuation risk.

10. The method for evaluating and optimizing the dynamic inscribed circle stability of slag phase diagrams for on-site thermal regime fluctuations according to claim 1, characterized in that, The risk of volatility is classified according to the probability P, and the classification includes at least low risk, medium risk and high risk. P ≥ 0.90 is considered low risk, 0.75 ≤ P < 0.90 is considered medium risk, and P < 0.75 is considered high risk. Based on the risk classification, optimization suggestions for the slag system are output.

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