Intelligent control system and method for sinter FeO content

Abstract

The application discloses a kind of sinter FeO content intelligent control system and method, first detect carbon element content in sintering mixture, FeO content in sinter;According to finished product sinter FeO content historical data, the corresponding relationship between sinter FeO online detection value and test value is established;Again, the corresponding time sequence sintering mixture original FeO content, mixture moisture value, sintering return ore ratio, sintering mixture carbon content value, sintering mixture basicity value, sintering material layer thickness value, sintering total pipe exhaust gas temperature value, cooling machine smoke hood temperature unit time temperature drop value are used as independent variable, FeO online detection value is used as dependent variable, and relationship is established;The control target value of sintering mixture carbon content value is calculated based on the relationship formula;Adjust the ratio of solid fuel in sintering mixture, so that the carbon content in current sintering mixture is control target value, and then control sinter FeO content.The application realizes the stable control of sinter FeO content.

Description

Technical Field

[0001] This invention belongs to the field of sintering technology, and more specifically, relates to an intelligent control system and method for FeO content in sintered ore. Background Technology

[0002] In actual production, the FeO content in sinter is often used as a comprehensive indicator for evaluating sintering production. This is because it not only reflects the heat control status and production level during sintering, but is also one of the main factors affecting sinter quality, especially its hot-state properties. Reducing the FeO content in sinter can improve its reducibility, but if the FeO content is too low, it can worsen some of the physicochemical properties of the sinter. FeO content is highly correlated with the drum strength, low-temperature reduction pulverization rate, and reducibility of sinter, making it an important parameter affecting the smooth operation of the blast furnace. The narrower the fluctuation range of FeO content in sinter, the more stable the sintering process.

[0003] The conventional method for adjusting the FeO content of sintered ore involves testing the composition of the finished sintered ore to determine whether the currently set solid fuel ratio is appropriate. However, this method suffers from a long time lag, and its effectiveness depends on the composition of the raw materials and fuels, the relative stability of the sintering process control, and the experience of the operators. Therefore, the control precision of the FeO content adjustment of sintered ore is insufficient, which can easily cause periodic fluctuations in the performance and quality of sintered ore.

[0004] A search revealed that application CN 111128313 A discloses a method and system for detecting FeO content in sintered ore. This method acquires thermal images and extracts keyframe images by combining them with the dust variation patterns at the tail of the sintering machine. Based on the keyframe images, it extracts infrared thermal images of interest using the geometric features of the tail trolley, thereby obtaining infrared thermal images of the sintered ore cross-section. Based on these images, it extracts shallow and deep features describing the quality of the sintered ore, establishes a multiphase thermodynamic model of the sintering process based on Gibbs free energy theorem, and obtains classification features of FeO content at the highest temperature of the sintered ore according to the multiphase thermodynamic model. It also establishes a prediction model for FeO content based on multiple heterogeneous features, and uses the shallow, deep, and FeO content classification features to predict the FeO content of the sintered ore in real time online.

[0005] For example, Chinese Patent Application No. CN 113517037 A discloses a data and knowledge fusion method and system for predicting FeO content in sintered ore. By acquiring sample parameters and data density centers of the sample parameters associated with the FeO content of sintered ore, the system uses a mechanism knowledge base to infer the FeO content level of sintered ore online based on the highest temperature of the sintering bed, and constructs an online estimation model of FeO content in the sintering process based on the data density centers of the sample parameters and the FeO content level of sintered ore. This enables the prediction of FeO content in sintered ore, solving the technical problem of low prediction accuracy of FeO content in existing sintered ore. Furthermore, by using high-dimensional mapping data density center extraction based on kernel functions, the system solves the problem of data inconsistency caused by different sampling frequencies, which is beneficial to improving the prediction accuracy of FeO content in sintered ore.

[0006] However, the above methods are all based on data analysis to predict the FeO content of sinter, which has the problem of prediction accuracy. Furthermore, they cannot fully guide the adjustment of the corresponding amount of solid fuel in sintering when adjusting the FeO content of sinter, and therefore cannot fully meet the needs of actual sintering production. Summary of the Invention

[0007] 1. The technical problem that the invention aims to solve In view of the shortcomings of the prior art, the present invention provides an intelligent control system and method for FeO content in sintered ore. The present invention achieves stable and precise control of FeO content in sintered ore by real-time detection of FeO content in finished sintered ore and carbon content in sintering mixture, reasonable correction of carbon content in sintering mixture by sintering process parameters, and real-time adjustment of the proportion of solid fuel in sintering.

[0008] 2. Technical Solution To achieve the above objectives, the technical solution provided by the present invention is as follows: The present invention discloses an intelligent control method for FeO content in sintered ore, comprising the following steps: Step 1: Detect the carbon content in the sinter mixture and the FeO content in the sinter. Step 2: Based on the historical data of FeO content obtained from the analysis of the finished sinter, establish the correspondence between the online detection value of FeO in the sinter and the test value of FeO in the sinter. Step 3: Obtain the original FeO content, moisture content, sintering return ore ratio, and basicity value of the current sintering mixture; Step 4: Obtain the sintering material layer thickness, the exhaust gas temperature of the sintering main pipe, the temperature drop per unit time of the cooler hood, and the online FeO detection value at the finished product outlet. Step 5: Using the original FeO content, moisture content, sintering return ore ratio, carbon content, basicity, sintering layer thickness, exhaust gas temperature of the sintering main pipe, and temperature drop per unit time of the cooler hood as independent variables, and the online FeO detection value as the dependent variable, establish a relationship. Step 6: Based on the target value for FeO content control in sintered ore, and using the correspondence obtained in Step 2, derive the target value for control corresponding to the online FeO detection value; then, based on the relationship in Step 5, calculate the target value for control of carbon content in the sintered mixture. Step 7: Compare the carbon content in the current sintering mixture with the control target value obtained in Step 6, and adjust the proportion of solid fuel in the sintering mixture so that the carbon content in the current sintering mixture is at the control target value, thereby controlling the FeO content of the sinter.

[0009] Furthermore, in step one, the carbon content in the sintered mixture is detected using a LIBS online chemical composition detection device installed at the discharge end of the secondary mixer; and the FeO content in the sinter is detected using an online FeO analyzer installed on the conveyor belt of the sintered ore.

[0010] Furthermore, the relationship established in step two is: FeO online detection value = k0 × FeO test value + k1, where k0 is the regression coefficient and k1 is a constant.

[0011] Furthermore, in step three, the original FeO content of the sintered mixture is obtained by weighting the FeO content in the chemical composition of each material detected in the sintered mixture and the percentage of each material in the batch; the moisture content of the sintered mixture is obtained by using a microwave or infrared moisture detection device installed at the discharge end of the secondary mixer.

[0012] Furthermore, in step four, the thickness of the sintered layer corresponding to the time delay after the secondary mixer to the sintering machine, and the temperature drop per unit time of the cooling machine hood temperature corresponding to the time delay until the end of sintering cooling are obtained.

[0013] Furthermore, in step four, the thickness of the sintering layer is obtained by an infrared layer thickness gauge, and the corresponding temperature parameters are obtained by on-site thermocouple detection.

[0014] Furthermore, in step five, the values ​​of each parameter are taken as a 5-minute moving average, and the partial least squares method is used to obtain the relationship. The formula obtained by the partial least squares method is iteratively updated as the data source increases, and the formula for the carbon content value of the sintering mixture is derived based on the relationship: Carbon content value of sintering mixture = (Online detection value of FeO - a × Original FeO content of sintering mixture - b × Moisture value of mixture - c × Sintering return ore ratio - e × Basicity value of sintering mixture - f × Thickness value of sintering material layer - g × Temperature value of exhaust gas from sintering main pipe - h × Temperature drop per unit time of cooler hood - i) / d.

[0015] Furthermore, in step seven, the carbon content of each raw and auxiliary material participating in the sintering process is obtained through periodic testing. The carbon content of the sintering mixture is calculated by combining the carbon content in the chemical composition of each material and the percentage of each material in the batch.

[0016] The present invention provides an intelligent control system for FeO content in sintered ore, comprising: The LIBS online chemical composition analysis equipment is used to detect the carbon content, as well as the SiO2 and CaO content in the mixture in real time. FeO online detection and analysis equipment is used to detect the FeO content of finished sinter in real time; Infrared layer thickness detection equipment is used to detect the thickness value of sintered material layers in real time; Temperature detection equipment is used to monitor various temperature parameters during the sintering process in real time. The control unit adjusts the proportion of sintered solid fuel in the sintering mixture in real time, thereby adjusting the amount of sintered solid fuel to ensure that the carbon content in the current sintering mixture is consistent with the target control value, and thus controls the FeO content of the sintered ore.

[0017] Furthermore, the control unit includes: The online detection and correction calculation module for FeO in sinter is used to calculate and correct the relationship between the online detection value and the actual test value of FeO in sinter in real time, and send it to the carbon content calculation module of sintered mixture. The carbon content calculation module for sintering mixture is used to calculate the carbon content in the current sintering mixture and send it to the carbon content adjustment and control module for sintering mixture. The carbon content adjustment and control module for sintering mixture is used to calculate whether the current carbon content in the sintering mixture is consistent with the target control, and to perform PID adjustment on the carbon content of the sintering mixture. The sintering solid fuel ratio adjustment calculation module automatically calculates and adjusts the sintering solid fuel ratio according to the sintering batch, and adjusts the amount of sintering solid fuel in real time to make the carbon content in the current sintering mixture consistent with the target controlled carbon content.

[0018] 3. Beneficial effects Compared with existing known technologies, the technical solution provided by this invention has the following significant advantages: This invention establishes a correspondence between the online detection value and the laboratory test value of FeO in the sintered ore by real-time detection of the FeO content in the finished sintered ore and the carbon content in the sintering mixture. Simultaneously, it acquires the original FeO content, moisture content, sintered return ore ratio, carbon content and basicity of the sintered mixture, sintering layer thickness, exhaust gas temperature in the sintering main pipe, and the temperature drop per unit time of the cooler hood, along with the online FeO detection value. A relationship is established, and the carbon content of the sintering mixture is controlled by reasonably adjusting the sintering process parameters to adjust the ratio of solid fuel in real time, ultimately achieving stable and precise control of the FeO content in the sintered ore. Attached Figure Description

[0019] Figure 1 A schematic diagram of the intelligent control process for FeO sinter; Figure 2 This is a schematic diagram of the intelligent control system for FeO sinter. Detailed Implementation

[0020] To further understand the content of this invention, a detailed description of the invention will be provided in conjunction with the accompanying drawings and embodiments.

[0021] Example 1 Combination Figure 1 The specific process of the intelligent control method for FeO content in sintered ore in this embodiment is as follows: S1. The carbon content in the sintering mixture is determined by using the LIBS online chemical composition detection device installed above the conveyor belt at the discharge end of the secondary mixer.

[0022] Specifically, the principle of spectroscopy is applied to analyze the elements of the material. A high-power pulsed laser beam is focused on the surface of the sintered mixture above the belt to be tested, so that the atoms and molecules in the mixture are continuously ionized to form plasma sparks. During the cooling and de-excitation process, intrinsic radiation is emitted. The wavelength and intensity of the characteristic spectral lines are measured by a spectrometer to qualitatively and quantitatively analyze the carbon content in the sintered mixture.

[0023] S2. The FeO content in the sinter is determined using an online FeO analyzer installed on the conveyor belt of the sintered ore leaving the factory.

[0024] Specifically, a magnetic induction sensor is used. When the sinter being tested passes through the magnetic induction sensor, the magnetic flux of the sensor changes. The magnetic index of the sinter is obtained by detecting the change. The magnetic index corresponds to the FeO content in the sinter, and the FeO content in the sinter can then be obtained based on the magnetic index.

[0025] S3. Based on the historical data of FeO content obtained from the analysis of the composition of the finished sintered ore, and the corresponding data of online FeO analysis of sintered ore, establish the correspondence between the online FeO detection value and the FeO test value of sintered ore, that is: FeO online detection value = k0 × FeO test value + k1 (Formula 1), where k0 is the regression coefficient and k1 is a constant.

[0026] S4. Obtain the original FeO content, moisture content, sintering return ratio, and carbon content (i.e., carbon element content in the sintering mixture determined by S1) and basicity value (CaO / SiO2 ratio) of the current sintering mixture as detected by the LIBS online chemical composition detection device.

[0027] The sintering mixture is sintered to form sintered ore. The sintering mixture mainly includes: blended ore, return ore, flux, auxiliary materials, solid fuel, and water. The flux mainly includes: limestone, quicklime, and dolomite; the auxiliary materials mainly include: iron oxide scale, steel slag, green pellets, dust collector ash, and gas ash, among other materials. The original FeO content of the sintering mixture is calculated by weighting the FeO content in the chemical composition of each material and the percentage of each material in the batch.

[0028] The moisture content of the sintered mixture is obtained by using a microwave or infrared moisture detection device installed above the conveyor belt at the discharge end of the secondary mixer.

[0029] The system obtains the sintered layer thickness after the corresponding process delay from the secondary mixer to the sintering machine, the exhaust gas temperature of the sintering main pipe, the temperature drop per unit time of the cooler hood temperature after the delay to the end of sintering cooling (which can reflect the cooling intensity of the sintered ore in the cooler), and the online detection value of FeO at the finished product outlet after the delay.

[0030] The thickness of the sintered material layer was obtained by infrared thickness gauge, and the corresponding temperature parameters were obtained by on-site thermocouple detection.

[0031] S5. Using the original FeO content, moisture content, sintering return ore ratio, LIBS-detected carbon content, LIBS-detected basicity, sintering bed thickness, sintering main exhaust gas temperature, and cooler hood temperature per unit time as independent variables, and the online FeO detection value as the dependent variable, all the above values ​​are taken as 5-minute moving averages. A database is established, and the following formula is obtained using partial least squares method: FeO online detection value = a × original FeO content of sintering mixture + b × moisture content of mixture + c × sintering return ore ratio + d × carbon content detected by LIBS + e × basicity value detected by LIBS + f × sintering material layer thickness + g × exhaust gas temperature of sintering main pipe + h × temperature drop per unit time of cooler hood + i (Formula 2, where ah is the regression coefficient and i is a constant) The formula obtained by the partial least squares method described above can be iteratively updated as the data source increases.

[0032] The carbon content value obtained from the above formula is: LIBS detected carbon content = (FeO online detection value - a × original FeO content of sintering mixture - b × moisture value of mixture - c × sintering return ore ratio - e × LIBS detected alkalinity value - f × sintering material layer thickness value - g × sintering main pipe exhaust gas temperature value - h × temperature drop per unit time of cooler hood - i) / d. (Formula 3) S6. Based on the target value for FeO content control in sintered ore, calculate the target value corresponding to the online FeO detection value using Formula 1. Then, calculate the target value for carbon content detection by LIBS using Formula 3.

[0033] S7. Detect the carbon content in the current sintering mixture and compare it with the carbon content control target value of the sintering mixture obtained by the above method to determine whether the carbon content of the current sintering mixture deviates from the control target value.

[0034] If the carbon content test result of the sintering mixture deviates from the control target value, the proportion of solid fuel in the sintering mixture will be adjusted so that the carbon content in the current sintering mixture is at the control target value.

[0035] The carbon content of each raw and auxiliary material involved in sintering is obtained through regular testing, mainly the carbon content of sintering solid fuel, the carbon content of carbon-containing auxiliary materials such as gas ash and dust removal ash, and the residual carbon content of sintering return ore. The carbon content of the sintering mixture is calculated by combining the carbon content in the chemical composition of each material and the percentage of each material in the batch.

[0036] If the carbon content in the current sintering mixture is greater than the target control value, the proportion of solid fuel in the sintering mixture is reduced, thereby reducing the amount of solid fuel used in the sintering mixture, which in turn reduces the carbon content in the current sintering mixture to match the target control value. If the carbon content in the current sintering mixture is less than the target control value, the proportion of solid fuel in the sintering mixture is increased, thereby increasing the amount of solid fuel used in the sintering mixture, which in turn increases the carbon content in the current sintering mixture to match the target control value. If the carbon content in the current sintering mixture matches the target control value, there is no need to adjust the proportion of solid fuel in the sintering mixture, i.e., there is no need to adjust the amount of solid fuel used in the sintering mixture.

[0037] This invention achieves stable and precise control of the FeO content in the sinter by real-time monitoring of the FeO content in the finished sinter and the carbon content in the sintering mixture, and by rationally adjusting the carbon content of the sintering mixture according to sintering process parameters. Furthermore, it achieves this by real-time adjustment of the proportion of solid fuel in the sinter, ultimately resulting in stable and precise control of the FeO content in the sinter. After implementation, the sintering utilization coefficient increased by 0.011 t / m³. 2 h; the pass rate of FeO±0.7 in sintered ore increased by 5.86%; the yield of sintered ore increased by 0.92%; and the strength of sintered ore increased by 0.26%.

[0038] Table 1 Comparison of Implementation Results

[0039] Example 2 Combination Figure 2 This embodiment of an intelligent control system for FeO content in sintered ore includes: The LIBS online chemical composition detection device is used to detect the carbon content, as well as the SiO2 and CaO content in the mixture in real time (and thus obtain the basicity value CaO / SiO2 of the sintered mixture), and send the data to the control unit.

[0040] The FeO online detection and analysis equipment is used to detect the FeO content of the finished sinter in real time and send the data to the control unit.

[0041] Infrared layer thickness gauge is used to detect the thickness of the sintered material layer in real time and send the value to the control unit.

[0042] The corresponding field temperature thermocouple detection equipment is used to detect various temperature parameters in the sintering process in real time and send them to the control unit.

[0043] The control unit adjusts the proportion of sintered solid fuel in the sintering mixture in real time, thereby adjusting the amount of sintered solid fuel to ensure that the carbon content in the current sintering mixture is consistent with the target control value. In other words, the proportion of sintered solid fuel is adjusted in real time so that the FeO content of the sintered ore is ultimately consistent with the control target value.

[0044] The control unit includes: The online detection and correction calculation module for FeO in sinter is used to calculate and correct the relationship between the online detection value and the actual test value of FeO in sinter in real time, and send it to the carbon content calculation module of the sintering mixture.

[0045] The carbon content calculation module for sintering mixture is used to calculate the carbon content in the current sintering mixture and send it to the carbon content adjustment and control module for sintering mixture.

[0046] The carbon content adjustment and control module for sintering mixture is used to calculate whether the current carbon content in the sintering mixture is consistent with the target control, and to perform PID adjustment on the carbon content of the sintering mixture.

[0047] The sintering solid fuel ratio adjustment calculation module automatically adjusts the sintering solid fuel ratio according to the sintering batch calculation, and adjusts the amount of sintering solid fuel in real time to make the carbon content in the current sintering mixture consistent with the target controlled carbon content.

[0048] If the carbon content in the current sintering mixture is greater than the target control value, the proportion of solid fuel in the sintering mixture is reduced, thereby reducing the amount of solid fuel used in the sintering mixture, which in turn reduces the carbon content in the current sintering mixture to match the target control value. If the carbon content in the current sintering mixture is less than the target control value, the proportion of solid fuel in the sintering mixture is increased, thereby increasing the amount of solid fuel used in the sintering mixture, which in turn increases the carbon content in the current sintering mixture to match the target control value. If the carbon content in the current sintering mixture matches the target control value, there is no need to adjust the proportion of solid fuel in the sintering mixture, i.e., there is no need to adjust the amount of solid fuel used in the sintering mixture.

[0049] This invention achieves stable and precise control of the FeO content in sintered ore by real-time detection of the FeO content in the finished sinter and the carbon content in the sintering mixture, and by reasonably correcting the carbon content in the sintering mixture through sintering process parameters, and by adjusting the proportion of solid fuel in sintering in real time.

[0050] The present invention and its embodiments have been described above illustratively. This description is not restrictive, and the figures shown are only one embodiment of the present invention; the actual structure is not limited thereto. Therefore, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the present invention, such designs should fall within the protection scope of the present invention.

Claims

1. A method for intelligent control of FeO content in sintered ore, characterized in that, The steps are as follows: Step 1: Detect the carbon content in the sinter mixture and the FeO content in the sinter. Step 2: Based on the historical data of FeO content obtained from the analysis of the finished sintered ore composition, establish the correspondence between the online detection value of FeO in the sintered ore and the test value of FeO in the sintered ore; the established relationship is: online detection value of FeO = k0 × test value of FeO + k1, where k0 is the regression coefficient and k1 is a constant; Step 3: Obtain the original FeO content, moisture content, sintering return ore ratio, and basicity value of the sintering mixture. Step 4: Obtain the sintering material layer thickness, the exhaust gas temperature of the sintering main pipe, the temperature drop per unit time of the cooler hood, and the online FeO detection value at the finished product outlet. Step 5: Using the original FeO content, moisture content, sintering return ore ratio, carbon content, basicity, sintering bed thickness, exhaust gas temperature from the sintering main pipe, and temperature drop per unit time of the cooler hood as independent variables, and the online FeO detection value as the dependent variable, all parameters are calculated as 5-minute moving averages. The partial least squares method is then used to obtain the following relationship: FeO online detection value = a × original FeO content of sintering mixture + b × moisture content of mixture + c × sintering return ore ratio + d × carbon content detected by LIBS + e × alkalinity detected by LIBS + f × sintering material layer thickness + g × exhaust gas temperature of sintering main pipe + h × temperature drop per unit time of cooler hood + i. Where ah is the regression coefficient and i is a constant; The formula obtained by partial least squares method is iteratively updated as the data source increases, and the formula for obtaining the carbon content value of sintered mixture based on the above relationship is: Carbon content value of sintered mixture = (Online detection value of FeO - a × Original FeO content of sintered mixture - b × Moisture detection value of mixture - c × Sintered return ore ratio - e × Basicity value of sintered mixture - f × Thickness value of sintered material layer - g × Temperature value of exhaust gas from sintering main pipe - h × Temperature drop per unit time of cooler hood - i) / d; Step 6: Based on the target value for FeO content control in sintered ore, and using the correspondence obtained in Step 2, derive the target value for control corresponding to the online FeO detection value; then, based on the relationship in Step 5, calculate the target value for control of carbon content in the sintered mixture. Step 7: Compare the carbon content in the current sintering mixture with the control target value obtained in Step 6, and adjust the proportion of solid fuel in the sintering mixture so that the carbon content in the current sintering mixture is at the control target value, thereby controlling the FeO content of the sinter.

2. The intelligent control method for FeO content in sintered ore according to claim 1, characterized in that: Step 1: The carbon content in the sintered mixture is detected using the LIBS online chemical composition detection device installed at the discharge end of the secondary mixer; the FeO content in the sinter is detected using the FeO online detection and analysis instrument for sinter installed on the conveyor belt of the sintered ore leaving the factory.

3. The intelligent control method for FeO content in sintered ore according to claim 2, characterized in that: Step 3: The original FeO content of the sintering mixture is obtained by weighting the FeO content in the chemical composition of each material detected in the sintering mixture and the percentage of each material in the batch; the moisture content of the sintering mixture is obtained by using a microwave or infrared moisture detection device installed at the discharge end of the secondary mixer.

4. The intelligent control method for FeO content in sintered ore according to claim 3, characterized in that: Step 4: Obtain the sintering material layer thickness after the corresponding process delay from the secondary mixer to the sintering machine, and the temperature drop per unit time of the cooling machine hood temperature after the delay until the end of sintering cooling.

5. The intelligent control method for FeO content in sintered ore according to claim 4, characterized in that: Step four: The thickness of the sintering layer is obtained by an infrared layer thickness gauge, and the corresponding temperature parameters are obtained by on-site thermocouple detection.

6. The intelligent control method for FeO content in sintered ore according to claim 5, characterized in that: Step 7: Obtain the carbon content of each raw and auxiliary material participating in the sintering process through regular testing. Calculate the carbon content of the sintering mixture by combining the carbon content in the chemical composition of each material and the percentage of each material in the batch.

7. An intelligent control system for FeO content in sintered ore, characterized in that, The method of any one of claims 1-6 comprises: The LIBS online chemical composition analysis equipment is used to detect the carbon content, as well as the SiO2 and CaO content in the mixture in real time. FeO online detection and analysis equipment is used to detect the FeO content of finished sinter in real time; Infrared layer thickness detection equipment is used to detect the thickness value of sintered material layers in real time; Temperature detection equipment is used to monitor various temperature parameters during the sintering process in real time. The control unit adjusts the proportion of sintered solid fuel in the sintering mixture in real time, thereby adjusting the amount of sintered solid fuel to ensure that the carbon content in the current sintering mixture is consistent with the target control value, and thus controls the FeO content of the sintered ore.

8. The intelligent control system for FeO content in sintered ore according to claim 7, characterized in that: The control unit includes: The online detection and analysis value correction calculation module for sintered FeO is used to calculate and correct the relationship between the online detection value and the actual analysis value of sintered FeO in real time, and send it to the carbon content calculation module of sintered mixture. The carbon content calculation module for sintering mixture is used to calculate the carbon content in the current sintering mixture and send it to the carbon content adjustment and control module for sintering mixture. The carbon content adjustment and control module for sintering mixture is used to calculate whether the current carbon content in the sintering mixture is consistent with the target control value, and to perform PID adjustment on the carbon content of the sintering mixture. The sintering solid fuel ratio adjustment calculation module automatically calculates and adjusts the sintering solid fuel ratio according to the sintering batch, and adjusts the amount of sintering solid fuel in real time so that the carbon content in the current sintering mixture is consistent with the target control value carbon content.

Images