A method and system for controlling sintered ore basicity

Abstract

The present disclosure belongs to the technical field of sintering batching control, and particularly relates to a method and system for controlling the alkalinity of sintered ore. The method comprises: obtaining the first-stage proportion adjustment amount according to the update status of the XRF data source and the LIBS data source; obtaining the second-stage proportion adjustment amount according to the first-stage proportion adjustment amount based on the time difference between the update of the XRF data source and the update of the LIBS data source; performing limit protection on the second-stage proportion adjustment amount to obtain the third-stage proportion adjustment amount; adjusting the sintered ore raw material proportion according to the third-stage proportion adjustment amount to control the alkalinity of the sintered ore. The present disclosure captures the evolution law of the batching process by modeling the dynamic trend of the data of the LIBS data source, thereby achieving more scientific closed-loop control, abandoning the traditional idea of directly using LIBS data to predict the sintering state or simply relying on the deviation of the mixture composition data from the target value, effectively avoiding the noise interference of a single data point and the problem of model alignment, and improving the robustness of the control.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of sintering batching control, and in particular relates to a method and system for controlling the basicity of sintered ore. Background Art

[0002] The steel industry is a key pillar of the national economy. The sintering process, a critical link in the steel production chain, directly impacts the efficiency and cost of subsequent blast furnace ironmaking. During the sintering process, various ore powders, fuel, and flux are mixed and heated in specific proportions to form sintered ore with a defined strength and chemical composition, providing high-quality raw material for the blast furnace. To ensure the basicity of the sintered ore meets the requirements of blast furnace smelting, precise control of the batching composition is necessary.

[0003] Traditional composition control methods rely on offline testing of sintered ore basicity using equipment such as laboratory X-ray Fluorescence Spectrometers (XRF), typically obtaining compositional results every three hours. This infrequent testing fails to reflect real-time changes in ingredient composition, forcing operators to make rough adjustments based on experience, impacting the stability and quality of the finished ore.

[0004] With the development of online testing technology, online composition analyzers are beginning to be used in the sintering batching process. For example, laser-induced breakdown spectroscopy (LIBS) can significantly shorten the composition testing cycle and enable real-time monitoring and feedback. However, due to the differences in sampling, sample preparation, and testing methods between online and offline testing equipment, discrepancies may exist between online test data and traditional XRF test results. This is especially true when the deviation is large but the trends are consistent. Therefore, how to effectively utilize this data for intelligent batching control has become a pressing issue. Summary of the Invention

[0005] In view of the above problems, the present disclosure provides a method for controlling the basicity of sintered ore, the method comprising:

[0006] According to the update status of XRF data source and LIBS data source, obtain the first stage ratio adjustment amount;

[0007] Based on the time difference between the XRF data source update and the LIBS data source update, the second-stage ratio adjustment amount is obtained according to the first-stage ratio adjustment amount;

[0008] Perform limit protection on the second stage ratio adjustment amount to obtain the third stage ratio adjustment amount;

[0009] Adjust the sintered ore raw material ratio according to the third stage ratio adjustment amount to control the sintered ore basicity.

[0010] According to some embodiments of the present disclosure, obtaining the first-stage ratio adjustment amount according to the update status of the XRF data source and the LIBS data source includes:

[0011] Confirm whether the current XRF data source has updated data;

[0012] If the XRF data source has not updated data, the first-stage ratio adjustment amount is obtained based on the LIBS trend;

[0013] If the XRF data source updates the data, the first-stage ratio adjustment amount is obtained through the adaptive deviation correction method.

[0014] According to some embodiments of the present disclosure, obtaining a first-stage ratio adjustment amount based on a LIBS data source trend includes:

[0015] Set the ratio control cycle based on LIBS data source;

[0016] According to the ratio control cycle, collect data from all LIBS data sources within the cycle;

[0017] Filter all LIBS data source data to obtain pre-processed LIBS data source data;

[0018] Traverse the pre-processed LIBS data source data to obtain the historical sequence;

[0019] Perform least squares fitting on the historical series to obtain the trend slope; and obtain the consistency coefficient by pre-processing all LIBS data sources;

[0020] According to the trend slope and consistency coefficient, the trend strength of the LIBS data source data is obtained;

[0021] According to the trend slope and trend strength, the first stage ratio adjustment amount is obtained.

[0022] According to some embodiments of the present disclosure, obtaining the first-stage ratio adjustment amount by an adaptive deviation correction method includes:

[0023] Obtain real-time deviation response values, cumulative error compensation values, and dynamic prediction correction values;

[0024] The first-stage ratio adjustment amount is obtained by summing the real-time deviation response value, the cumulative error compensation value and the dynamic prediction correction value.

[0025] According to some embodiments of the present disclosure, based on the time difference between the update of the XRF data source and the update of the LIBS data source, obtaining the second-stage ratio adjustment amount according to the first-stage ratio adjustment amount includes:

[0026] Determining whether the time difference satisfies a first time threshold or a second time threshold;

[0027] If the first time threshold is met, the current adjustment direction is determined according to the first-stage ratio adjustment amount, and then the second-stage ratio adjustment amount is obtained according to the adjustment direction;

[0028] If the second time threshold is met, the second time threshold is weighted in sections and combined with the first stage ratio adjustment amount to obtain the second stage ratio adjustment amount.

[0029] According to some embodiments of the present disclosure, determining the current adjustment direction according to the first-stage ratio adjustment amount includes:

[0030] Obtain the first-stage ratio adjustment amount and time corresponding to the most recent data update within the first time threshold and the first-stage ratio adjustment amount and time corresponding to the current data update;

[0031] Update the first-stage ratio adjustment amount corresponding to the current data and determine the adjustment direction.

[0032] According to some embodiments of the present disclosure, obtaining a second-stage ratio adjustment amount according to an adjustment direction includes:

[0033] Set the adjustment direction function;

[0034] Input the first-stage ratio adjustment amount corresponding to the most recent data update and the first-stage ratio adjustment amount corresponding to the current data update into the adjustment direction function to obtain the current adjustment direction;

[0035] If the adjustment direction is positive, the amplitude ratio is calculated, and the second-stage ratio adjustment amount is obtained based on the amplitude ratio;

[0036] If the adjustment direction is negative, the second-stage ratio adjustment amount is obtained based on the current data update state.

[0037] According to some embodiments of the present disclosure, the second time threshold is weighted in segments and combined with the first-stage ratio adjustment amount to obtain the second-stage ratio adjustment amount, including:

[0038] Obtain all data on the first-stage ratio adjustment of the current data source within the second time threshold;

[0039] Sum all the data to get the total adjusted sum;

[0040] If the absolute value of the total adjustment sum is greater than the absolute value of the total adjustment sum threshold, the second time threshold is weighted in sections to obtain the long-term adjustment sum, the short-term adjustment sum and the weighting factor;

[0041] Determine the dominant adjustment based on the sum of long-term adjustments, the sum of short-term adjustments and weighting factors;

[0042] According to the dominant adjustment and adjustment direction functions, the second stage ratio adjustment amount is obtained.

[0043] According to some embodiments of the present disclosure, determining a dominant adjustment based on the sum of long-term adjustments, the sum of short-term adjustments, and a weighting factor includes:

[0044] Set weight threshold;

[0045] When the absolute value of the sum of forward adjustments is greater than the absolute value of the sum of recent adjustments, and the weighting factor is greater than the absolute value of the weight threshold, the forward adjustments will dominate;

[0046] When the absolute value of the sum of long-term adjustments is less than or equal to the absolute value of the sum of short-term adjustments, and the weighting factor is greater than the absolute value of the weight threshold, the short-term adjustments will dominate.

[0047] According to some embodiments of the present disclosure, performing clipping protection on the second-stage ratio adjustment amount to obtain the third-stage ratio adjustment amount includes:

[0048] The positive and negative values of the second stage ratio adjustment are defined as positive and negative adjustments;

[0049] Setting an upper threshold for positive adjustments; and setting a lower threshold for negative adjustments;

[0050] Comparing the second-stage proportion adjustment amount, which is defined as a positive value, with the upper threshold value, and outputting the upper threshold value if the second-stage proportion adjustment amount is greater than the upper threshold value; and comparing the absolute value of the second-stage proportion adjustment amount, which is defined as a negative value, with the absolute value of the lower threshold value, and outputting the lower threshold value if the absolute value of the second-stage proportion adjustment amount is greater than the absolute value of the lower threshold value;

[0051] Set the adjustment limit threshold and compare the absolute value of the output value with the absolute value of the adjustment limit threshold. If the absolute value of the output value is greater than or equal to the absolute value of the adjustment limit threshold, the output value is the third stage ratio adjustment amount.

[0052] The present disclosure also provides a sintered ore basicity control system, the system comprising:

[0053] The first acquisition module is used to obtain the first-stage ratio adjustment amount according to the update status of the XRF data source and the LIBS data source;

[0054] A second acquisition module is configured to acquire a second-stage ratio adjustment amount according to the first-stage ratio adjustment amount based on a time difference between an XRF data source update and a LIBS data source update;

[0055] A third acquisition module is used to perform a limit protection on the second-stage ratio adjustment amount and obtain the third-stage ratio adjustment amount;

[0056] The adjustment module is used to adjust the sinter raw material ratio according to the third stage ratio adjustment amount and control the sinter basicity.

[0057] According to some embodiments of the present disclosure, a first acquisition module is configured to acquire a first-stage ratio adjustment amount based on the update status of an XRF data source and a LIBS data source, including:

[0058] The first acquisition module is used to confirm whether the current XRF data source has updated data;

[0059] If the XRF data source has not updated data, the first-stage ratio adjustment amount is obtained based on the LIBS trend;

[0060] If the XRF data source updates the data, the first-stage ratio adjustment amount is obtained through the adaptive deviation correction method.

[0061] According to some embodiments of the present disclosure, a second acquisition module is configured to acquire a second-stage ratio adjustment amount based on the first-stage ratio adjustment amount based on a time difference between an XRF data source update and a LIBS data source update, including:

[0062] The second acquisition module is used to determine whether the time difference meets the first time threshold or the second time threshold;

[0063] If the first time threshold is met, the current adjustment direction is determined according to the first-stage ratio adjustment amount, and then the second-stage ratio adjustment amount is obtained according to the adjustment direction;

[0064] If the second time threshold is met, the second time threshold is weighted in sections and combined with the first stage ratio adjustment amount to obtain the second stage ratio adjustment amount.

[0065] According to some embodiments of the present disclosure, a third acquisition module, configured to perform clipping protection on the second-stage ratio adjustment amount and acquire the third-stage ratio adjustment amount, includes:

[0066] The third acquisition module is used to define the positive and negative values of the second stage ratio adjustment amount as positive and negative adjustments;

[0067] Setting an upper threshold for positive adjustments; and setting a lower threshold for negative adjustments;

[0068] Comparing the second-stage proportion adjustment amount, which is defined as a positive value, with the upper threshold value, and outputting the upper threshold value if the second-stage proportion adjustment amount is greater than the upper threshold value; and comparing the absolute value of the second-stage proportion adjustment amount, which is defined as a negative value, with the absolute value of the lower threshold value, and outputting the lower threshold value if the absolute value of the second-stage proportion adjustment amount is greater than the absolute value of the lower threshold value;

[0069] Set the adjustment limit threshold and compare the absolute value of the output value with the absolute value of the adjustment limit threshold. If the absolute value of the output value is greater than or equal to the absolute value of the adjustment limit threshold, the output value is the third stage ratio adjustment amount.

[0070] The present disclosure has the following beneficial effects:

[0071] (1) This paper captures the evolution of the batching process by modeling the dynamic trend of the data from the LIBS data source, thereby achieving more scientific closed-loop control. It abandons the traditional idea of directly using LIBS data to predict the sintering state or simply relying on the deviation between the mixture composition data and the target value, effectively avoids the noise interference of a single data point and the problem of model alignment, and improves the robustness of the control.

[0072] (2) In response to the limitations of single-point control, the present disclosure integrates historical adjustment data with current adjustment needs, combines short-term and long-term adjustment trends, and makes multi-dimensional decisions. Compared with the traditional method of "measure and adjust immediately", the present disclosure can balance short-term fluctuations with long-term goals, avoid excessive adjustments or cumulative deviations, and ensure the overall coordination of the batching process;

[0073] (3) This disclosure overcomes the bottleneck of the existing technology in which the two technologies are difficult to coordinate by giving full play to the real-time online detection advantages of LIBS and the high-precision feedback correction capabilities of XRF, thus achieving the unity of high efficiency and precision in batching control;

[0074] (4) Through trend analysis and comprehensive adjustment mechanism, the present disclosure can predict the direction of change in advance and optimize the adjustment strategy, thereby significantly reducing the risk of basicity fluctuations and enhancing the stability of the sintering process;

[0075] (5) The present invention reduces raw material waste and quality anomalies through precise batching control, improves the quality consistency and process efficiency of steel production, and has significant industrial application value.

[0076] Other features and advantages of the present disclosure will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present disclosure. The purpose and other advantages of the present disclosure can be achieved and obtained through the structures indicated in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0078] Figure 1A diagram showing a method for controlling sintered ore basicity in an embodiment of the present disclosure is shown;

[0079] Figure 2 A detailed flow chart of the method for controlling the basicity of sintered ore according to an embodiment of the present disclosure is shown;

[0080] Figure 3 A diagram of a sintered ore basicity control system in an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0081] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the present disclosure will be more comprehensive and complete and will fully convey the concepts of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or that other methods, components, devices, steps, etc. may be employed. In other cases, well-known technical solutions are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0082] In addition, the accompanying drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. Identical reference numerals in the figures denote identical or similar parts, and thus repetitive descriptions thereof will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software, in one or more hardware units or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0083] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all steps. For example, some steps may be decomposed, while some steps may be combined or partially combined, so the actual execution order may change according to actual circumstances.

[0084] The terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, such that the embodiments of the application described herein can, for example, be implemented in an order other than that illustrated or described herein.

[0085] In addition, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus that includes a series of steps or submodules is not necessarily limited to those steps or submodules explicitly listed, but may include other steps or submodules not explicitly listed or inherent to such process, method, product or apparatus.

[0086] like Figure 1 As shown, the present disclosure provides a method for controlling the basicity of sintered ore, the method comprising:

[0087] S1. Obtain the first-stage ratio adjustment amount based on the update status of the XRF data source and the LIBS data source;

[0088] S2. Based on the time difference between the XRF data source update and the LIBS data source update, obtain the second-stage ratio adjustment amount according to the first-stage ratio adjustment amount;

[0089] S3. Perform limit protection on the second-stage ratio adjustment amount to obtain the third-stage ratio adjustment amount;

[0090] S4. Adjust the sintering ore raw material ratio according to the third stage ratio adjustment amount to control the sintering ore basicity.

[0091] Specifically, S1. Obtaining the first-stage ratio adjustment amount based on the update status of the XRF data source and the LIBS data source, including:

[0092] S11, confirm whether the current XRF data source has updated data;

[0093] S12. If the XRF data source has not updated data, obtain the first-stage ratio adjustment amount based on the LIBS trend;

[0094] S13. If the XRF data source updates the data, the first-stage ratio adjustment amount is obtained through the adaptive deviation correction method.

[0095] Specifically, S12: if the XRF data source has not updated data, the first-stage ratio adjustment amount is obtained based on the LIBS trend, including:

[0096] S121, setting a ratio control cycle based on the LIBS data source;

[0097] S122. According to the ratio control cycle, collect data from all LIBS data sources within the cycle;

[0098] S123, filtering all LIBS data source data to obtain pre-processed LIBS data source data;

[0099] S124, traverse the pre-processed LIBS data source data to obtain a historical sequence;

[0100] S125. Perform least squares fitting on the historical series to obtain the trend slope; and obtain the consistency coefficient by pre-processing all LIBS data sources;

[0101] S126. Obtaining the trend strength of the LIBS data source data according to the trend slope and the consistency coefficient;

[0102] S127. Obtain the first-stage ratio adjustment amount based on the trend slope and trend strength.

[0103] Specifically, in step S13, if the XRF data source updates data, the first-stage ratio adjustment amount is obtained by using the adaptive deviation correction method, including:

[0104] S131, obtaining a real-time deviation response value, a cumulative error compensation value, and a dynamic prediction correction value;

[0105] S132: Sum the real-time deviation response value, the cumulative error compensation value, and the dynamic prediction correction value to obtain the first-stage proportion adjustment amount.

[0106] Specifically, S2, based on the time difference between the XRF data source update and the LIBS data source update, obtain the second-stage ratio adjustment amount according to the first-stage ratio adjustment amount, including:

[0107] S21. Determine whether the time difference meets a first time threshold or a second time threshold;

[0108] S22: If the first time threshold is met, determine the current adjustment direction based on the first-stage ratio adjustment amount, and then obtain the second-stage ratio adjustment amount based on the adjustment direction;

[0109] S23. If the second time threshold is met, weight the second time threshold in sections and combine it with the first stage ratio adjustment amount to obtain the second stage ratio adjustment amount.

[0110] In this embodiment, the first time threshold and the second time threshold are both set according to actual conditions.

[0111] Specifically, in S22, the current adjustment direction is determined according to the first-stage ratio adjustment amount, including:

[0112] S221. Obtain the first-stage ratio adjustment amount and time corresponding to the most recent data update within the first time threshold, and the first-stage ratio adjustment amount and time corresponding to the current data update;

[0113] S222: Update the first-stage ratio adjustment amount corresponding to the current data and determine the adjustment direction.

[0114] Specifically, in S22, the second-stage ratio adjustment amount is obtained according to the adjustment direction, including:

[0115] S223, setting the adjustment direction function;

[0116] S224, inputting the first-stage ratio adjustment amount corresponding to the most recent data update and the first-stage ratio adjustment amount corresponding to the current data update into the adjustment direction function to obtain the current adjustment direction;

[0117] S225: If the adjustment direction is positive, calculate the amplitude ratio, and obtain the second-stage ratio adjustment amount based on the amplitude ratio;

[0118] S226: If the adjustment direction is negative, obtain the second-stage ratio adjustment amount based on the current data update state.

[0119] Specifically, in step S23, if the second time threshold is met, the second time threshold is weighted in sections and combined with the first-stage ratio adjustment amount to obtain the second-stage ratio adjustment amount, including:

[0120] S231. Acquire all data of the first-stage ratio adjustment amount of the current data source within the second time threshold;

[0121] S232, summing all data to obtain a total adjusted sum;

[0122] S233. If the absolute value of the total adjustment sum is greater than the absolute value of the total adjustment sum threshold, weight the second time threshold in sections to obtain the long-term adjustment sum, the short-term adjustment sum, and the weighting factor.

[0123] S234. Determine the dominant adjustment based on the sum of long-term adjustments, the sum of short-term adjustments, and the weighting factors;

[0124] S235. Obtain the second-stage proportion adjustment amount according to the dominant adjustment and adjustment direction functions.

[0125] In this embodiment, the total adjustment and threshold are generally set to 0.2, but in most cases they are set according to the on-site conditions.

[0126] Specifically, S234 determines the dominant adjustment based on the sum of the long-term adjustments, the sum of the short-term adjustments, and the weighting factors, including:

[0127] S2341. Setting a weight threshold;

[0128] S2342: When the absolute value of the sum of forward adjustments is greater than the absolute value of the sum of recent adjustments, and the weighting factor is greater than the absolute value of the weight threshold, the forward adjustments shall prevail.

[0129] S2343. When the absolute value of the sum of long-term adjustments is less than or equal to the absolute value of the sum of short-term adjustments, and the weighting factor is greater than the absolute value of the weight threshold, the short-term adjustments shall prevail.

[0130] In this embodiment, the weight threshold is generally set to 0.5, but it is not unique and can be set according to actual conditions.

[0131] Specifically, S3, performing a limit protection on the second-stage ratio adjustment amount to obtain the third-stage ratio adjustment amount, including:

[0132] S31, defining the positive and negative values of the second-stage ratio adjustment amount as positive and negative adjustments;

[0133] S32, setting an upper threshold for positive adjustment; and setting a lower threshold for negative adjustment;

[0134] S33. Compare the second-stage proportion adjustment amount, which is defined as a positive value, with the upper threshold value. If the second-stage proportion adjustment amount is greater than the upper threshold value, output the upper threshold value. Also, compare the absolute value of the second-stage proportion adjustment amount, which is defined as a negative value, with the absolute value of the lower threshold value. If the absolute value of the second-stage proportion adjustment amount is greater than the absolute value of the lower threshold value, output the lower threshold value.

[0135] S34. Set an adjustment limit threshold and compare the absolute value of the output value with the absolute value of the adjustment limit threshold. If the absolute value of the output value is greater than or equal to the absolute value of the adjustment limit threshold, the output value is the third stage ratio adjustment amount.

[0136] like Figure 2 As shown, the present disclosure is divided into a ratio increment calculation module, a comprehensive adjustment module, and a limit protection module.

[0137] 1. Ratio increment calculation module

[0138] This module integrates two primary data sources into its ratio calculations: XRF (X-ray fluorescence) and LIBS (laser-induced breakdown spectroscopy) data, enabling precise ingredient adjustments. Considering that XRF data is updated on average every three hours, while LIBS data has a higher frequency (updated every 10 minutes), and given the industry's demand for more frequent ratio adjustments (not too frequent), this module has designed a tiered adjustment strategy.

[0139] Specifically, the system is set to make regular ratio adjustments based on LIBS data every n hours to take into account both real-time performance and accuracy.

[0140] 1. When XRF data is updated, an adaptive bias correction algorithm is used for calculation. The calculation process mainly includes:

[0141] (1) Real-time deviation response item: the linear mapping relationship between the current measurement value (i.e., XRF updated data) and the target value;

[0142] (2) Cumulative error compensation term: weighted and accumulated the integral effect of historical deviations;

[0143] (3) Dynamic prediction correction term: an advance compensation mechanism based on the rate of change of the deviation;

[0144] (4) Calculate the sum of the above three items to obtain the control ratio increment.

[0145] 2. When XRF data is not updated, this disclosure proposes to use LIBS trend-based control. The main process is as follows:

[0146] (1) Collect all LIBS_R (alkalinity of mixed materials detected by LIBS) values within n hours and filter them to reduce the influence of noise to form a historical sequence L;

[0147] (2) The sequence L is fitted using the least squares method to obtain the trend slope, which is used to represent the change direction and rate of the current LIBS_R;

[0148] (3) Statistically analyze the trend consistency of consecutive data points in the historical window to obtain the consistency coefficient, which has a value range of [0,1]. Specifically:

[0149] ① Calculate the difference sequence D=[d1,d2,..,d N ], where d i =LIBS_R[i+1]-LIBS_R[i];

[0150] ②Define consistency index: Statistical d i The ratio is consistent with the slope direction:

[0151] ;

[0152] in, is the indicator function, is the sign function, and N is the total number of difference sequences.

[0153] (4) Assess the significance of the current trend by trend strength. The trend strength calculation formula is as follows:

[0154] ;

[0155] In the formula, trendStrength represents the trend strength; slope represents the trend slope; consistency represents the consistency coefficient;

[0156] (5) Final output control ratio increment:

[0157] ;

[0158] (6) Use the limit protection module to prevent overshoot.

[0159] 2. Comprehensive Adjustment Module

[0160] Because XRF (X-ray fluorescence) data updates at an irregular frequency, while LIBS (laser-induced breakdown spectroscopy) performs adjustments at a fixed interval of T hours, adjustments from the two data sources may conflict or overlap within a short period of time. Furthermore, frequent adjustments in the same direction within a short period of time (CT2) may lead to excessive adjustments, while continuous adjustments in a single direction over a long period of time (CT3) may cause future sintered basicity values to deviate significantly from the acceptable range.

[0161] In this embodiment, the short-term CT2 will change according to different on-site conditions. The short-term period may be 60 or 90 minutes, etc., which essentially reduces the risk of multiple adjustments in the same direction in a short period of time. The long-term CT3 will change according to different on-site conditions. It may be 5 hours, 6 hours, etc., which reduces the risk of multiple adjustments in the same direction in a long period.

[0162] Therefore, the comprehensive adjustment module aims to optimize the adjustment output through multi-time scale analysis and adaptive algorithms.

[0163] 1. The specific process of the short-time (CT2) comprehensive adjustment algorithm is as follows:

[0164] (1) Define an adjustment sequence Q = [(t1, a1, src1), (t2, a2, src2), ...] within a time window CT2, where t represents the adjustment time, a represents the adjustment ratio increment, and src represents the adjustment data source (XRF data source or LIBS data source). The current adjustment ratio increment is recorded as now_adjust, the time of the current data update is t_now, and the current adjustment data source is src_now. Extract the most recent adjustment ratio increment last_adjust from the queue, the most recent data update time is t_last, and the most recent adjustment data source is src_last, satisfying t_now-t_last≤CT2;

[0165] (2) Define the adjustment direction function :

[0166] ;

[0167] Where x represents the current control ratio increment.

[0168] ①If Direction(last_adjust)=Direction(now_adjust) (same direction adjustment):

[0169] a. Calculate the amplitude ratio:

[0170] ;

[0171] Among them, now_adjust is the current adjustment ratio increment; last_adjust is the most recent adjustment ratio increment;

[0172] b. Introducing dynamic adjustment factors :

[0173] ;

[0174] in, is the time decay coefficient, with a threshold value of 0 to 1; is the adjustment factor, the threshold is 0 to 1; t_now-t_last is the time difference;

[0175] c. If ratio ≥ 1 (the current adjustment is not less than the previous one):

[0176] ;

[0177] d. If ratio < 1 (current adjustment amplitude weakens):

[0178] Ratio adjustment amount = 0;

[0179] ②If Direction(last_adjust)=-Direction(now_adjust) (reverse adjustment):

[0180] a. Check the most recently adjusted data source src_last;

[0181] If adjustment is based on LIBS:

[0182] ;

[0183] If adjustment is based on XRF:

[0184] .

[0185] 2. The specific process of the long-term (CT3) comprehensive adjustment algorithm is as follows:

[0186] Within the long-term window CT3 (for example, 10 hours), the current adjustment amount is dynamically adjusted by analyzing the cumulative trend of adjustments and the segmented weighted effects to avoid the cumulative deviation of long-term unidirectional adjustments.

[0187] Specific algorithm process:

[0188] (1) Historical adjustment records and cumulative effect assessment:

[0189] ①Record all adjustment sequences A=[a1,a2,..,a M ], calculate the total adjustment and total_sum.

[0190] ②If |toal_sum|>sumThreshold, it indicates that the cumulative effect is significant and further analysis is required. The sumThreshold is generally set to 0.2, but in most cases it is set according to the on-site conditions.

[0191] (2) Time segment weighted analysis:

[0192] ① Set the split point CT_near on CT3 to split into long-term adjustments and recent adjustments .

[0193] ②Calculate the total forward adjustment :

[0194] ;

[0195] Where, Indicates the start time, Indicates the current adjustment time. For example, assuming the current adjustment time It is 12:00, CT3 is set to 5 hours, CT_near is set to 3 hours, then It means 12:00-5:00=7:00, farsum means the sum of all adjustments from 7:00 to 9:00, and nearsum means the sum of all adjustments from 9:00 to 12:00; represents the increment of the i-th control ratio;

[0196] ③Calculate the sum of recent adjustments :

[0197] ;

[0198] ④Define weighting factors:

[0199] ;

[0200] in, and is a weight coefficient set artificially. In this embodiment, is 0.4, It is 0.6, emphasizing the impact of recent adjustments.

[0201] ⑤Output adjustment decision

[0202] If |farsum|>|nearsum|, and treadWeight>weightThreshold, it means that the long-term adjustment is dominant. The overall adjustment direction and the current adjustment direction are determined. WeightThreshold is the weight threshold, which can be set according to actual conditions. In this embodiment, it is set to 0.5.

[0203] If now_adjust and total_sum are in the same direction:

[0204] ;

[0205] If now_adjust and total_sum are opposite:

[0206] Ratio adjustment amount = now_adjust.

[0207] If |farsum|≤|nearsum|, and treadWeight>weightThreshold, it means that the recent adjustment is dominant. Determine the overall adjustment direction and the current adjustment direction:

[0208] If now_adjust and total_sum are in the same direction, it means there have been many adjustments in the same direction recently, and the current adjustment needs to be suppressed:

[0209] ;

[0210] If now_adjust and total_sum are opposite, increase the adjustment amount based on the existing adjustment to offset some recent adjustments:

[0211] .

[0212] 3. Limiting protection module

[0213] In order to avoid abnormal fluctuations in sintering basicity values caused by excessive adjustments, or invalid operations caused by excessively small adjustments that affect process stability, this module introduces a sophisticated limiting protection mechanism.

[0214] By pre-defining positive and negative adjustment boundaries and a minimum effective adjustment threshold, the mechanism can effectively constrain the output adjustment amount to ensure that it neither excessively interferes with the system nor loses practical significance due to fine-tuning. Among them, the pre-defined positive and reverse adjustments are independent, i.e. the adjustment amount can be positive or negative.

[0215] (1) Forward adjustment limit:

[0216] ① Set the maximum positive adjustment limit MaxPositiveLimit as the upper limit of positive adjustment.

[0217] ② If the currently calculated ratio adjustment amount > 0 and the ratio adjustment amount > MaxPositiveLimitoutput, then constrain it to:

[0218] Ratio adjustment amount = MaxPositiveLimitoutput;

[0219] (2)Reverse adjustment amplitude limiting:

[0220] ① Set the reverse maximum adjustment limit MaxNegativeLimit as the lower bound of the negative adjustment.

[0221] ② If the current ratio adjustment amount < 0 and |output| > |MaxNegativeLimit| (i.e., the negative adjustment amplitude is too large), then constrain it to:

[0222] Ratio adjustment amount = MaxNegativeLimit;

[0223] (3)Minimum effective adjustment threshold:

[0224] ① Define the lowest absolute value adjustment limit MinAdjustThreshold as the bottom line of the effectiveness of the adjustment amount.

[0225] ② If the absolute value of the final adjustment amount |ratio adjustment amount| < MinAdjustThreshold, then it is considered that the adjustment amount is too small and has no practical process significance, and directly set it to:

[0226] Ratio adjustment amount = 0;

[0227] ③ If the absolute value of the final adjustment amount |ratio adjustment amount| ≥ MinAdjustThreshold, then use the current ratio adjustment amount as the final result.

[0228] As Figure 3 shown, the present disclosure also proposes a sinter ore basicity control system, and the system includes:

[0229] A first acquisition module, configured to acquire a first-stage ratio adjustment amount according to the update status of the XRF data source and the LIBS data source;

[0230] A second acquisition module, configured to acquire a second-stage ratio adjustment amount based on the time difference between the update of the XRF data source and the update of the LIBS data source and according to the first-stage ratio adjustment amount;

[0231] A third acquisition module, configured to perform amplitude limiting protection on the second-stage ratio adjustment amount to acquire a third-stage ratio adjustment amount;

[0232] The adjustment module is used to adjust the sinter raw material ratio according to the third stage ratio adjustment amount and control the sinter basicity.

[0233] Specifically, the first acquisition module is used to obtain the first-stage ratio adjustment amount according to the update status of the XRF data source and the LIBS data source, including:

[0234] The first acquisition module is used to confirm whether the current XRF data source has updated data;

[0235] If the XRF data source has not updated data, the first-stage ratio adjustment amount is obtained based on the LIBS trend;

[0236] If the XRF data source updates the data, the first-stage ratio adjustment amount is obtained through the adaptive deviation correction method.

[0237] Specifically, the second acquisition module is used to obtain the second-stage ratio adjustment amount according to the first-stage ratio adjustment amount based on the time difference between the XRF data source update and the LIBS data source update, including:

[0238] The second acquisition module is used to determine whether the time difference meets the first time threshold or the second time threshold;

[0239] If the first time threshold is met, the current adjustment direction is determined according to the first-stage ratio adjustment amount, and then the second-stage ratio adjustment amount is obtained according to the adjustment direction;

[0240] If the second time threshold is met, the second time threshold is weighted in sections and combined with the first stage ratio adjustment amount to obtain the second stage ratio adjustment amount.

[0241] Specifically, the third acquisition module is used to perform a limit protection on the second-stage ratio adjustment amount and obtain the third-stage ratio adjustment amount, including:

[0242] The third acquisition module is used to define the positive and negative values of the second stage ratio adjustment amount as positive and negative adjustments;

[0243] Setting an upper threshold for positive adjustments; and setting a lower threshold for negative adjustments;

[0244] Comparing the second-stage proportion adjustment amount, which is defined as a positive value, with the upper threshold value, and outputting the upper threshold value if the second-stage proportion adjustment amount is greater than the upper threshold value; and comparing the absolute value of the second-stage proportion adjustment amount, which is defined as a negative value, with the absolute value of the lower threshold value, and outputting the lower threshold value if the absolute value of the second-stage proportion adjustment amount is greater than the absolute value of the lower threshold value;

[0245] Set the adjustment limit threshold and compare the absolute value of the output value with the absolute value of the adjustment limit threshold. If the absolute value of the output value is greater than or equal to the absolute value of the adjustment limit threshold, the output value is the third stage ratio adjustment amount.

[0246] Those skilled in the art should understand that although the present disclosure has been described in detail with reference to the aforementioned embodiments, it is still possible to modify the technical solutions described in the aforementioned embodiments, or to make equivalent replacements for some of the technical features therein; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure.

Claims

1. A method for controlling the basicity of sintered ore, characterized in that: The method comprises: Obtaining the first-stage ratio adjustment amount based on the update status of the XRF data source and the LIBS data source; including: confirming whether the current XRF data source has updated data; if the XRF data source has not updated data, obtaining the first-stage ratio adjustment amount based on the LIBS trend; if the XRF data source has updated data, obtaining the first-stage ratio adjustment amount through the adaptive deviation correction method; Based on the time difference between the update of the XRF data source and the update of the LIBS data source, the second-stage ratio adjustment amount is obtained according to the first-stage ratio adjustment amount; the method includes: determining whether the time difference meets a first time threshold or a second time threshold; if the first time threshold is met, determining the current adjustment direction according to the first-stage ratio adjustment amount, and then obtaining the second-stage ratio adjustment amount according to the adjustment direction; if the second time threshold is met, weighting the second time threshold in sections and combining it with the first-stage ratio adjustment amount to obtain the second-stage ratio adjustment amount; Determining the current adjustment direction according to the first-stage ratio adjustment amount includes: obtaining the first-stage ratio adjustment amount and time corresponding to the most recent data update within a first time threshold and the first-stage ratio adjustment amount and time corresponding to the current data update; determining the adjustment direction according to the first-stage ratio adjustment amount corresponding to the current data update; Obtaining a second-stage ratio adjustment amount according to an adjustment direction, including: setting an adjustment direction function; inputting the first-stage ratio adjustment amount corresponding to the most recent data update and the first-stage ratio adjustment amount corresponding to the current data update into the adjustment direction function to obtain a current adjustment direction; if the adjustment direction is a positive direction, calculating an amplitude ratio, and obtaining a second-stage ratio adjustment amount based on the amplitude ratio; if the adjustment direction is a negative direction, obtaining a second-stage ratio adjustment amount based on a current data update state; The second time threshold is weighted in sections and combined with the first-stage proportion adjustment amount to obtain the second-stage proportion adjustment amount, including: obtaining all data of the first-stage proportion adjustment amount of the current data source within the second time threshold; summing all data to obtain a total adjustment sum; if the absolute value of the total adjustment sum is greater than the absolute value of the total adjustment sum threshold, weighting the second time threshold in sections to obtain a long-term adjustment sum, a short-term adjustment sum, and a weighting factor; determining a dominant adjustment based on the long-term adjustment sum, the short-term adjustment sum, and the weighting factor; and obtaining the second-stage proportion adjustment amount based on the dominant adjustment and the adjustment direction function; Perform limit protection on the second stage ratio adjustment amount to obtain the third stage ratio adjustment amount; Adjust the sintered ore raw material ratio according to the third stage ratio adjustment amount to control the sintered ore basicity.

2. The method for controlling sintered ore basicity according to claim 1, wherein: Based on the LIBS data source trend, the first phase ratio adjustment amount is obtained, including: Set the ratio control cycle based on LIBS data source; According to the ratio control cycle, collect data from all LIBS data sources within the cycle; Filter all LIBS data source data to obtain pre-processed LIBS data source data; Traverse the pre-processed LIBS data source data to obtain the historical sequence; Perform least squares fitting on the historical series to obtain the trend slope; and obtain the consistency coefficient by pre-processing all LIBS data sources; According to the trend slope and consistency coefficient, the trend strength of the LIBS data source data is obtained; According to the trend slope and trend strength, the first stage ratio adjustment amount is obtained.

3. The method for controlling sintered ore basicity according to claim 1, wherein: The first stage ratio adjustment is obtained through the adaptive deviation correction method, including: Obtain real-time deviation response values, cumulative error compensation values, and dynamic prediction correction values; The first-stage ratio adjustment amount is obtained by summing the real-time deviation response value, the cumulative error compensation value and the dynamic prediction correction value.

4. The method for controlling sintered ore basicity according to claim 1, wherein: Based on the sum of long-term adjustments, the sum of short-term adjustments and weighting factors, the dominant adjustment is determined, including: Set weight threshold; When the absolute value of the sum of forward adjustments is greater than the absolute value of the sum of recent adjustments, and the weighting factor is greater than the absolute value of the weight threshold, the forward adjustments will dominate; When the absolute value of the sum of long-term adjustments is less than or equal to the absolute value of the sum of short-term adjustments, and the weighting factor is greater than the absolute value of the weight threshold, the short-term adjustments will dominate.

5. The method for controlling sintered ore basicity according to claim 4, wherein: The second stage ratio adjustment amount is limited to protect the amount, and the third stage ratio adjustment amount is obtained, including: The positive and negative values of the second stage ratio adjustment are defined as positive and negative adjustments; Setting an upper threshold for positive adjustments; and setting a lower threshold for negative adjustments; Comparing the second-stage proportion adjustment amount, which is defined as a positive value, with the upper threshold value, and outputting the upper threshold value if the second-stage proportion adjustment amount is greater than the upper threshold value; and comparing the absolute value of the second-stage proportion adjustment amount, which is defined as a negative value, with the absolute value of the lower threshold value, and outputting the lower threshold value if the absolute value of the second-stage proportion adjustment amount is greater than the absolute value of the lower threshold value; Set the adjustment limit threshold and compare the absolute value of the output value with the absolute value of the adjustment limit threshold. If the absolute value of the output value is greater than or equal to the absolute value of the adjustment limit threshold, the output value is the third stage ratio adjustment amount.

6. A sintered ore basicity control system, characterized in that: The system comprises: A first acquisition module is configured to acquire a first-stage ratio adjustment amount based on the update status of the XRF data source and the LIBS data source. The first acquisition module includes: the first acquisition module is configured to confirm whether the current XRF data source has updated data; if the XRF data source has not updated data, the first-stage ratio adjustment amount is acquired based on the LIBS trend; if the XRF data source has updated data, the first-stage ratio adjustment amount is acquired using an adaptive deviation correction method; A second acquisition module is configured to acquire a second-stage ratio adjustment amount based on the first-stage ratio adjustment amount based on a time difference between an XRF data source update and a LIBS data source update; the second acquisition module is configured to determine whether the time difference satisfies a first time threshold or a second time threshold; if the first time threshold is satisfied, determine a current adjustment direction based on the first-stage ratio adjustment amount, and then acquire the second-stage ratio adjustment amount based on the adjustment direction; if the second time threshold is satisfied, weight the second time threshold in sections and combine the weighted values with the first-stage ratio adjustment amount to acquire the second-stage ratio adjustment amount; Determining the current adjustment direction according to the first-stage ratio adjustment amount includes: obtaining the first-stage ratio adjustment amount and time corresponding to the most recent data update within a first time threshold and the first-stage ratio adjustment amount and time corresponding to the current data update; determining the adjustment direction according to the first-stage ratio adjustment amount corresponding to the current data update; Obtaining a second-stage ratio adjustment amount according to an adjustment direction, including: setting an adjustment direction function; inputting the first-stage ratio adjustment amount corresponding to the most recent data update and the first-stage ratio adjustment amount corresponding to the current data update into the adjustment direction function to obtain a current adjustment direction; if the adjustment direction is a positive direction, calculating an amplitude ratio, and obtaining a second-stage ratio adjustment amount based on the amplitude ratio; if the adjustment direction is a negative direction, obtaining a second-stage ratio adjustment amount based on a current data update state; The second time threshold is weighted in sections and combined with the first-stage proportion adjustment amount to obtain the second-stage proportion adjustment amount, including: obtaining all data of the first-stage proportion adjustment amount of the current data source within the second time threshold; summing all data to obtain a total adjustment sum; if the absolute value of the total adjustment sum is greater than the absolute value of the total adjustment sum threshold, weighting the second time threshold in sections to obtain a long-term adjustment sum, a short-term adjustment sum, and a weighting factor; determining a dominant adjustment based on the long-term adjustment sum, the short-term adjustment sum, and the weighting factor; and obtaining the second-stage proportion adjustment amount based on the dominant adjustment and the adjustment direction function; A third acquisition module is used to perform a limit protection on the second-stage ratio adjustment amount and obtain the third-stage ratio adjustment amount; The adjustment module is used to adjust the sinter raw material ratio according to the third stage ratio adjustment amount and control the sinter basicity.

7. The sintered ore basicity control system according to claim 6, characterized in that: The third acquisition module is used to perform a limit protection on the second-stage ratio adjustment amount and obtain the third-stage ratio adjustment amount, including: The third acquisition module is used to define the positive and negative values of the second stage ratio adjustment amount as positive and negative adjustments; Setting an upper threshold for positive adjustments; and setting a lower threshold for negative adjustments; Comparing the second-stage proportion adjustment amount, which is defined as a positive value, with the upper threshold value, and outputting the upper threshold value if the second-stage proportion adjustment amount is greater than the upper threshold value; and comparing the absolute value of the second-stage proportion adjustment amount, which is defined as a negative value, with the absolute value of the lower threshold value, and outputting the lower threshold value if the absolute value of the second-stage proportion adjustment amount is greater than the absolute value of the lower threshold value; Set the adjustment limit threshold and compare the absolute value of the output value with the absolute value of the adjustment limit threshold. If the absolute value of the output value is greater than or equal to the absolute value of the adjustment limit threshold, the output value is the third stage ratio adjustment amount.

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