Sintered ore alkalinity control method and system

Abstract

The invention belongs to the technical field of sintering batching control, and particularly relates to a sinter alkalinity control method and system. The method comprises the following steps: acquiring a first-stage ratio adjustment amount according to update states of an XRF data source and an LIBS data source; based on the time difference between XRF data source updating and LIBS data source updating, a second-stage ratio adjustment amount is obtained according to the first-stage ratio adjustment amount; performing amplitude limiting protection on the second-stage ratio adjustment amount to obtain a third-stage ratio adjustment amount; and the sinter raw material ratio is adjusted according to the third-stage ratio adjustment amount, and the sinter alkalinity is controlled. According to the invention, modeling is carried out on the data dynamic trend of the LIBS data source, and the evolution rule of the batching process is captured, so that more scientific closed-loop control is realized; the traditional thought of directly utilizing LIBS data to predict the sintering state or purely depending on mixture component data and target value deviation is abandoned, the problems of single data point noise interference and model alignment are effectively avoided, and the control robustness is improved.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of sintering burden control, and particularly relates to a method and system for controlling the basicity of sinter. Background Art

[0002] The iron and steel industry is one of the important pillars of the national economy. As a key link in the iron and steel production chain, the sintering process directly affects the efficiency and cost of subsequent blast furnace ironmaking. In the sintering process, various ore powders, fuels and fluxes are mixed in a certain proportion and heated to form sinter with certain strength and chemical composition, providing high-quality raw materials for the blast furnace. In order to ensure that the basicity quality of the sinter meets the requirements of blast furnace smelting, precise control of the burden composition is required.

[0003] Traditional composition control methods rely on equipment such as laboratory X-ray Fluorescence Spectrometer (XRF) for off-line detection of the basicity of sinter, usually obtaining composition results every three hours. This low-frequency detection cannot reflect the changes in the burden composition in real time, resulting in operators having to make rough adjustments based on experience, affecting the stability and qualification rate of the finished ore composition.

[0004] With the development of on-line detection technology, on-line composition analyzers have begun to be applied to the sintering burden process. For example, based on Laser Induced Breakdown Spectroscopy (LIBS), the composition detection cycle can be significantly shortened, enabling real-time monitoring and feedback. However, due to the different sampling, sample preparation and analysis methods of on-line and off-line detection equipment, there may be differences between on-line detection data and traditional XRF detection results. Especially when the deviation between the two is large and the trend is the same, how to effectively utilize these data for intelligent burden control has become an urgent problem to be solved. Summary of the Invention

[0005] In view of the above problems, the present disclosure provides a method for controlling the basicity of sinter, the method comprising:[[]] Obtaining a first-stage ratio adjustment amount according to the update status of the XRF data source and the LIBS data source; Based on the time difference between the update of the XRF data source and the update of the LIBS data source, obtaining a second-stage ratio adjustment amount according to the first-stage ratio adjustment amount; Performing amplitude limiting protection on the second-stage ratio adjustment amount to obtain a third-stage ratio adjustment amount; Adjusting the ratio of sinter raw materials according to the third-stage ratio adjustment amount to control the basicity of sinter.

[0006] 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: Confirm whether the current XRF data source updates data; If the XRF data source does not update data, obtain the first-stage ratio adjustment amount based on the LIBS trend; If the XRF data source updates data, obtain the first-stage ratio adjustment amount through the adaptive deviation correction method.

[0007] According to some embodiments of the present disclosure, obtaining the first-stage ratio adjustment amount based on the LIBS data source trend includes: Set the ratio control period based on the LIBS data source; According to the ratio control period, collect all LIBS data source data within the period; Filter all LIBS data source data to obtain preprocessed LIBS data source data; Traverse the preprocessed LIBS data source data to obtain a historical sequence; Perform least squares fitting on the historical sequence to obtain a trend slope; and obtain a consistency coefficient through all preprocessed LIBS data source data; According to the trend slope and the consistency coefficient, obtain the trend intensity of the LIBS data source data; According to the trend slope and the trend intensity, obtain the first-stage ratio adjustment amount.

[0008] According to some embodiments of the present disclosure, obtaining the first-stage ratio adjustment amount through the adaptive deviation correction method includes: Obtain the real-time deviation response value, the cumulative error compensation value, and the dynamic prediction correction value; Sum the real-time deviation response value, the cumulative error compensation value, and the dynamic prediction correction value to obtain the first-stage ratio adjustment amount.

[0009] According to some embodiments of the present disclosure, obtaining the second-stage ratio adjustment amount according to the time difference between the XRF data source update and the LIBS data source update based on the first-stage ratio adjustment amount includes: Judge whether the time difference meets the first time threshold or the second time threshold; If the first time threshold is met, determine the current adjustment direction according to the first-stage ratio adjustment amount, and then obtain the second-stage ratio adjustment amount according to the adjustment direction; If the second time threshold is met, segmentally weight the second time threshold and combine it with the first-stage ratio adjustment amount to obtain the second-stage ratio adjustment amount.

[0010] According to some embodiments of the present disclosure, determining the current adjustment direction according to the first-stage ratio adjustment amount includes: Obtain the first-stage ratio adjustment amount, time corresponding to the most recent data update within the first time threshold, and the first-stage ratio adjustment amount, time corresponding to the current data update; Determine the adjustment direction based on the first-stage ratio adjustment amount corresponding to the current data update.

[0011] According to some embodiments of the present disclosure, obtaining the second-stage ratio adjustment amount according to the adjustment direction includes: Set the adjustment direction function; 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; If the adjustment direction is the positive direction, calculate the amplitude ratio, and obtain the second-stage ratio adjustment amount based on the amplitude ratio; If the adjustment direction is the negative direction, obtain the second-stage ratio adjustment amount based on the current data update status.

[0012] According to some embodiments of the present disclosure, segmentally weighting the second time threshold and combining with the first-stage ratio adjustment amount to obtain the second-stage ratio adjustment amount includes: Obtain all data of the first-stage ratio adjustment amount of the current data source within the second time threshold; Sum all the data to obtain the total adjustment sum; If the absolute value of the total adjustment sum is greater than the absolute value of the total adjustment sum threshold, segmentally weight the second time threshold to obtain the long-term adjustment sum, short-term adjustment sum, and weighting factor; Determine the dominant adjustment according to the long-term adjustment sum, short-term adjustment sum, and weighting factor; Obtain the second-stage ratio adjustment amount according to the dominant adjustment and the adjustment direction function.

[0013] According to some embodiments of the present disclosure, determining the dominant adjustment according to the long-term adjustment sum, short-term adjustment sum, and weighting factor includes: Set the weight threshold; When the absolute value of the long-term adjustment sum is greater than the absolute value of the short-term adjustment sum, and the weighting factor is greater than the absolute value of the weight threshold, the long-term adjustment is the dominant; When the absolute value of the long-term adjustment sum is less than or equal to the absolute value of the short-term adjustment sum, and the weighting factor is greater than the absolute value of the weight threshold, the short-term adjustment is the dominant.

[0014] According to some embodiments of the present disclosure, performing amplitude limiting protection on the second-stage ratio adjustment amount to obtain the third-stage ratio adjustment amount includes: Define the positive and negative values of the second-stage ratio adjustment amount as positive and negative adjustments; Set the upper bound threshold for positive adjustment; and, set the lower bound threshold for negative adjustment; Compare the second-stage ratio adjustment amount defined as a positive value with the upper bound threshold. If the second-stage ratio adjustment amount is greater than the upper bound threshold, output the upper bound threshold; and, compare the absolute value of the second-stage ratio adjustment amount defined as a negative value with the absolute value of the lower bound threshold. If the absolute value of the second-stage ratio adjustment amount is greater than the absolute value of the lower bound threshold, output the lower bound threshold; 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.

[0015] The present disclosure also provides a sintered ore basicity control system, which includes: A first acquisition module for acquiring the first-stage ratio adjustment amount according to the update status of the XRF data source and the LIBS data source; A second acquisition module for acquiring the 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 according to the first-stage ratio adjustment amount; A third acquisition module for performing amplitude limiting protection on the second-stage ratio adjustment amount to obtain the third-stage ratio adjustment amount; An adjustment module for adjusting the sintered ore raw material ratio according to the third-stage ratio adjustment amount to control the sintered ore basicity.

[0016] According to some embodiments of the present disclosure, the first acquisition module for acquiring the first-stage ratio adjustment amount according to the update status of the XRF data source and the LIBS data source includes: The first acquisition module is used to confirm whether the current XRF data source updates data; If the XRF data source does not update data, obtain the first-stage ratio adjustment amount based on the LIBS trend; If the XRF data source updates data, obtain the first-stage ratio adjustment amount through the adaptive deviation correction method.

[0017] According to some embodiments of the present disclosure, the second acquisition module for acquiring the 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 according to the first-stage ratio adjustment amount includes: The second acquisition module is used to determine whether the time difference meets the first time threshold or the second time threshold; If the first time threshold is met, determine the current adjustment direction according to the first-stage ratio adjustment amount, and then obtain the second-stage ratio adjustment amount according to the adjustment direction; If the second time threshold is met, segmentally weight the second time threshold and combine it with the first-stage ratio adjustment amount to obtain the second-stage ratio adjustment amount.

[0018] According to some embodiments of the present disclosure, a third acquisition module is configured to perform amplitude limiting protection on the ratio adjustment amount in the second stage and acquire the ratio adjustment amount in the third stage, including: The third acquisition module is configured to define the positive and negative values of the ratio adjustment amount in the second stage as forward and reverse adjustments; Set an upper threshold for forward adjustment; and set a lower threshold for negative adjustment; Compare the ratio adjustment amount in the second stage defined as a positive value with the upper threshold. If the ratio adjustment amount in the second stage is greater than the upper threshold, output the upper threshold; and compare the absolute value of the ratio adjustment amount in the second stage defined as a negative value with the absolute value of the lower threshold. If the absolute value of the ratio adjustment amount in the second stage is greater than the absolute value of the lower threshold, output the lower threshold; 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 ratio adjustment amount in the third stage.

[0019] The present disclosure has the following beneficial effects: (1) By dynamically modeling the data trend of the LIBS data source, the present disclosure captures the evolution law of the batching process, thereby realizing 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 between the mixture composition data and the target value, effectively avoiding the noise interference of single data points and the problem of model alignment, and improving the robustness of control; (2) Aiming at the limitation of single-point control, the present disclosure integrates historical adjustment data and current adjustment requirements, combines short-term and long-term adjustment trends, and makes multi-dimensional decisions. Compared with the "measure and adjust immediately" of traditional methods, the present disclosure can balance short-term fluctuations and long-term goals, avoid over-adjustment or cumulative deviation, and ensure the overall coordination of the batching process; (3) By giving full play to the real-time online detection advantage of LIBS and the high-precision feedback correction ability of XRF, the present disclosure overcomes the bottleneck that it is difficult to coordinate the two in the prior art, and realizes the unity of the efficiency and accuracy of batching control; (4) Through trend analysis and comprehensive adjustment mechanism, the present disclosure can predict the change direction in advance and optimize the adjustment strategy, thereby significantly reducing the risk of alkalinity fluctuation and enhancing the stability of the sintering process; (5) By precise batching control, the present disclosure reduces raw material waste and quality anomalies, improves the quality consistency and process efficiency of steel production, and has significant industrial application value.

[0020] Other features and advantages of the present disclosure will be set forth in the following description, and in part will be obvious from the description, or may be learned by practice of the present disclosure. The objectives and other advantages of the present disclosure may be realized and attained by the structure particularly pointed out in the specification and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or in the prior art, the following briefly introduces the accompanying drawings required for use in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are some embodiments of the present disclosure. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0022] Figure 1 The figure showing the method for controlling the basicity of sinter in the embodiment of the present disclosure; Figure 2 The figure showing the detailed flowchart of the method for controlling the basicity of sinter in the embodiment of the present disclosure; Figure 3 The figure showing the system diagram of the basicity control system of sinter in the embodiment of the present disclosure. DETAILED DESCRIPTION

[0023] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be more complete and comprehensive, and will fully convey the concept 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, numerous specific details are provided to give a thorough understanding of the embodiments of the present disclosure. However, those skilled in the art will recognize that the technical solutions of the present disclosure can be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be used. In other instances, well-known technical solutions are not shown or described in detail to avoid obscuring aspects of the present disclosure.

[0024] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, or in one or more hardware units or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0025] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all steps. For example, some steps can be further decomposed, while some steps can be combined or partially combined. Therefore, the actual execution order may be changed according to the actual situation.

[0026] The terms "first", "second", etc. in the description and claims of this application and the above accompanying drawings are used to distinguish similar objects and do not necessarily describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so that the embodiments of this application described herein can be implemented in an order other than those illustrated or described herein.

[0027] In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or sub-modules need not be limited to those steps or sub-modules clearly listed, but may include other steps or sub-modules not clearly listed or inherent to these processes, methods, products or devices.

[0028] As Figure 1 shown, the present disclosure provides a method for controlling the basicity of sintered ore, the method comprising: S1. Obtain the proportion adjustment amount in the first stage according to the update status of the XRF data source and the LIBS data source; S2. Based on the time difference between the update of the XRF data source and the update of the LIBS data source, obtain the proportion adjustment amount in the second stage according to the proportion adjustment amount in the first stage; S3. Perform amplitude limiting protection on the proportion adjustment amount in the second stage to obtain the proportion adjustment amount in the third stage; S4. Adjust the proportion of the sintered ore raw materials according to the proportion adjustment amount in the third stage to control the basicity of the sintered ore.

[0029] Specifically, S1. Obtain the proportion adjustment amount in the first stage according to the update status of the XRF data source and the LIBS data source, including: S11. Confirm whether the current XRF data source updates data; S12. If the XRF data source does not update data, obtain the proportion adjustment amount in the first stage based on the LIBS trend; S13. If the XRF data source updates data, obtain the proportion adjustment amount in the first stage through the adaptive deviation correction method.

[0030] Specifically, S12. If the XRF data source does not update data, obtain the proportion adjustment amount in the first stage based on the LIBS trend, including: S121. Set the proportion control period based on the LIBS data source; S122. Adjust the cycle according to the ratio, and collect the data of all LIBS data sources within the cycle; S123. Filter the data of all LIBS data sources to obtain the preprocessed LIBS data source data; S124. Traverse the preprocessed LIBS data source data to obtain a historical sequence; S125. Perform least squares fitting on the historical sequence to obtain a trend slope; and obtain a consistency coefficient through all the preprocessed LIBS data source data; S126. Obtain the trend intensity of the LIBS data source data according to the trend slope and the consistency coefficient; S127. Obtain the first-stage ratio adjustment amount according to the trend slope and the trend intensity.

[0031] Specifically, in S13, if the XRF data source updates data, the first-stage ratio adjustment amount is obtained through the adaptive deviation correction method, including: S131. Obtain the real-time deviation response value, the cumulative error compensation value, and the dynamic prediction correction value; S132. Sum up the real-time deviation response value, the cumulative error compensation value, and the dynamic prediction correction value to obtain the first-stage ratio adjustment amount.

[0032] Specifically, in S2, 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, including: S21. Judge whether the time difference meets the first time threshold or the second time threshold; S22. If the first time threshold is met, determine the current adjustment direction according to the first-stage ratio adjustment amount, and then obtain the second-stage ratio adjustment amount according to the adjustment direction; S23. If the second time threshold is met, segmentally weight the second time threshold and combine it with the first-stage ratio adjustment amount to obtain the second-stage ratio adjustment amount.

[0033] In this embodiment, both the first time threshold and the second time threshold are set according to the actual situation.

[0034] Specifically, in S22, determining the current adjustment direction according to the first-stage ratio adjustment amount includes: S221. Obtain the first-stage ratio adjustment amount, time corresponding to the most recent data update within the first time threshold, the first-stage ratio adjustment amount, and time corresponding to the current data update; S222. Determine the adjustment direction according to the first-stage ratio adjustment amount corresponding to the current data update.

[0035] Specifically, in S22, obtaining the second-stage ratio adjustment amount according to the adjustment direction includes: S223. Set the adjustment direction function; S224. 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; S225. If the adjustment direction is the positive direction, calculate the amplitude ratio and obtain the second-stage ratio adjustment amount based on the amplitude ratio; S226. If the adjustment direction is the negative direction, obtain the second-stage ratio adjustment amount based on the current data update status.

[0036] Specifically, in S23, if the second time threshold is satisfied, segmentally weight the second time threshold and combine it with the first-stage ratio adjustment amount to obtain the second-stage ratio adjustment amount, including: S231. Obtain all data of the first-stage ratio adjustment amount of the current data source within the second time threshold; S232. Sum all the data to obtain the total adjustment sum; S233. If the absolute value of the total adjustment sum is greater than the absolute value of the total adjustment sum threshold, segmentally weight the second time threshold to obtain the long-term adjustment total, the short-term adjustment total, and the weighting factor; S234. Determine the dominant adjustment according to the long-term adjustment total, the short-term adjustment total, and the weighting factor; S235. Obtain the second-stage ratio adjustment amount according to the dominant adjustment and the adjustment direction function.

[0037] In this embodiment, the total adjustment sum threshold is generally set to 0.2, but in most cases, it is set according to the on-site situation.

[0038] Specifically, in S234, determine the dominant adjustment according to the long-term adjustment total, the short-term adjustment total, and the weighting factor, including: S2341. Set the weight threshold; S2342. When the absolute value of the long-term adjustment total is greater than the absolute value of the short-term adjustment total, and the weighting factor is greater than the absolute value of the weight threshold, take the long-term adjustment as the dominant; S2343. When the absolute value of the long-term adjustment total is less than or equal to the absolute value of the short-term adjustment total, and the weighting factor is greater than the absolute value of the weight threshold, take the short-term adjustment as the dominant.

[0039] In this embodiment, the weight threshold is generally set to 0.5, but it is not unique and can be set according to the actual situation.

[0040] Specifically, in S3, perform amplitude limiting protection on the second-stage ratio adjustment amount to obtain the third-stage ratio adjustment amount, including: S31. Define the positive and negative values of the second-stage ratio adjustment amount as positive and negative adjustments; S32. Set the upper bound threshold for positive adjustment; and set the lower bound threshold for negative adjustment; S33. Compare the second-stage ratio adjustment amount defined as a positive value with the upper bound threshold. If the second-stage ratio adjustment amount is greater than the upper bound threshold, output the upper bound threshold; and compare the absolute value of the second-stage ratio adjustment amount defined as a negative value with the absolute value of the lower bound threshold. If the absolute value of the second-stage ratio adjustment amount is greater than the absolute value of the lower bound threshold, output the lower bound threshold; S34. 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.

[0041] As Figure 2 shown, the present disclosure is divided into a ratio increment calculation module, a comprehensive adjustment module, and a limit protection module.

[0042] I. Ratio Increment Calculation Module The present disclosure integrates two main data sources in ratio calculation: XRF (X-ray fluorescence analysis) data and LIBS (laser-induced breakdown spectroscopy) data to achieve precise batching adjustment. Considering that XRF data is updated every 3 hours on average, while LIBS data has a higher detection frequency (updated every 10 minutes on average), and the actual demand of the batching industry for the ratio adjustment frequency (not requiring overly frequent changes), this module designs a hierarchical adjustment strategy.

[0043] Specifically, the system sets a regular ratio adjustment based on LIBS data every n hours to balance real-time performance and accuracy.

[0044] 1. When the XRF data is updated, an adaptive deviation correction algorithm is used for calculation. The calculation process mainly includes: (1) Real-time deviation response term: The linear mapping relationship between the measured value at the current moment (i.e., the data updated by XRF) and the target value; (2) Cumulative error compensation term: Weight and accumulate the integral effect of historical deviations; (3) Dynamic prediction correction term: An advanced compensation mechanism based on the deviation change rate; (4) Calculate the sum of the above three items to obtain the regulated ratio increment.

[0045] 2. When the XRF data is not updated, the present disclosure proposes to use the LIBS trend for regulation. The main process is as follows: (1) Collect all the values of LIBS_R (the alkalinity of the homogenized material detected by LIBS) within n hours and perform filtering to reduce the influence of noise, forming a historical sequence L; (2) Use the least squares method to fit the sequence L to obtain the trend slope slope, which is used to represent the change direction and rate of the current LIBS_R; (3) Statistically analyze the trend consistency of consecutive data points in the historical window to obtain the consistency coefficient consistency, whose value range is [0, 1]. Specifically: ① Calculate the difference sequence D = [d1, d2,.., d N , where d i = LIBS_R[i + 1] - LIBS_R[i]; ② Define the consistency index: Statistically analyze the proportion of d i that is consistent with the slope direction: ; Among them, is the indicator function, is the sign function, and N is the total number of the difference sequence.

[0046] (4) Evaluate the significance of the current trend through the trend strength. The trend strength calculation formula is as follows: ; In the formula, trendStrength represents the trend strength; slope represents the trend slope; consistency represents the consistency coefficient; (5) Finally, output the regulation ratio increment: ; (6) Use the amplitude limiting protection module to prevent overshoot.

[0047] II. Comprehensive adjustment module Since the update frequency of XRF (X-ray fluorescence analysis) data is uncertain, while LIBS (laser-induced breakdown spectroscopy) performs adjustments every fixed time T hours, conflicts or superpositions may occur in the adjustments of the two data sources in a short period. In addition, frequent adjustments in the same direction within a short period (CT2) may cause over-adjustment, while continuous single-direction adjustments within a long period (CT3) may cause the future sinter basicity value to deviate seriously from the qualified range.

[0048] In this embodiment, the short time CT2 will change according to the on-site situation. Generally, the short time may be 60, 90 minutes, etc. Essentially, it reduces the risk brought by multiple adjustments in the same direction within a short period. The long time CT3 will change according to the on-site situation. It may be 5 hours or 6 hours, etc., reducing the risk brought by multiple adjustments in the same direction within a long period.

[0049] Therefore, the comprehensive adjustment module aims to optimize the adjustment output through multi-time scale analysis and adaptive algorithms.

[0050] 1. The specific process of the short - time (CT2) comprehensive adjustment algorithm is as follows: (1) Define an adjustment sequence Q = [(t1, a1, src1), (t2, a2, src2),...] within a time window CT2, where t represents the adjustment time, a is the increment of the regulation ratio, and src is the adjustment data source (XRF data source or LIBS data source). The current increment of the regulation ratio is denoted as now_adjust, the time of the current data update is t_now, and the current adjustment data source is src_now. Extract the last increment of the regulation ratio last_adjust from the queue, the time of the last data update is t_last, and the last adjustment data source is src_last, satisfying t_now - t_last ≤ CT2; (2) Define the adjustment direction function : ; In the formula, x represents the current increment of the regulation ratio.

[0051] ① If Direction(last_adjust) = Direction(now_adjust) (same - direction adjustment): a. Calculate the amplitude ratio ratio: ; where now_adjust is the current increment of the regulation ratio; last_adjust is the last increment of the regulation ratio; b. Introduce a dynamic adjustment factor : ; where is the time decay coefficient, with a threshold of 0 to 1; is the adjustment factor, with a threshold of 0 to 1; t_now - t_last is the time difference; c. If ratio ≥ 1 (the current adjustment amplitude is not less than the previous one): ; d. If ratio < 1 (the current adjustment amplitude weakens): The amount of ratio adjustment = 0; ② If Direction(last_adjust) = - Direction(now_adjust) (opposite - direction adjustment): a. Check the data source src_last of the last adjustment; If adjusted based on LIBS: ; If adjusted based on XRF: 。

[0052] 2. The specific process of the long-term (CT3) comprehensive adjustment algorithm is as follows: Within the long-term window CT3 (e.g., 10 hours), by analyzing the cumulative trend and segmented weighting effect of the adjustment, dynamically adjust the current adjustment amount to avoid the cumulative deviation of long-term unidirectional adjustment.

[0053] Specific algorithm process: (1) Historical adjustment record and cumulative effect evaluation: ① Record all adjustment sequences A = [a1, a2,.., a M within CT3, and calculate the total adjustment sum total_sum.

[0054] ② If |toal_sum| > sumThreshold, it indicates that the cumulative effect is significant, and further analysis is carried out. Among them, sumThreshold is generally set to 0.2, but in most cases, it is set according to the on-site situation.

[0055] (2) Time-segmented weighted analysis: ① Set the segmentation point CT_near on CT3, and divide it into long-term adjustment and short-term adjustment 。

[0056] ② Calculate the total long-term adjustment sum : ; In the formula, represents the start time, represents the current adjustment time. For example, assume the current adjustment time is 12:00, CT3 is set to 5 hours, and CT_near is set to 3 hours. Then represents 12:00 - 5:00 = 7:00, farsum represents the total adjustment amount from 7:00 to 9:00, and nearsum represents the total adjustment amount from 9:00 to 12:00; represents the i-th regulation ratio increment; ③ Calculate the total short-term adjustment sum : ; ④ Define the weighting factor: ; Among them, and are the weight coefficients set manually. In this embodiment, is 0.4, is 0.6, emphasizing the impact of recent adjustments.

[0057] ⑤ Output adjustment decision If |farsum| > |nearsum| and treadWeight > weightThreshold, it indicates that the long-term adjustment dominates. Determine the overall adjustment direction and the current adjustment direction, where weightThreshold is the weight threshold and can be set according to the actual situation. In this embodiment, it is set to 0.5; If now_adjust and total_sum are in the same direction: ; If now_adjust and total_sum are in the opposite direction: The proportion adjustment amount = now_adjust.

[0058] If |farsum| ≤ |nearsum| and treadWeight > weightThreshold, it indicates that the recent adjustment dominates. Determine the overall adjustment direction and the current adjustment direction: If now_adjust and total_sum are in the same direction, it means there are more recent same-direction adjustments and the current adjustment needs to be suppressed: ; If now_adjust and total_sum are in the opposite direction, on the basis of the existing adjustment, increase the regulation amount to offset some recent adjustments: .

[0059] III. Limiting protection module To avoid abnormal fluctuations in the sintering basicity value caused by too large an adjustment amplitude, or ineffective operations caused by too small an adjustment amount, which in turn affects the process stability, this module introduces a precise limiting protection mechanism.

[0060] Through predefined forward and reverse adjustment boundaries and the minimum effective adjustment threshold, this mechanism can effectively constrain the output adjustment amount to ensure that it neither overly interferes with the system nor loses practical significance due to fine-tuning. Among them, the predefined forward and reverse adjustments are independent. For example, the adjustment amount may be positive or negative.

[0061] (1)Forward adjustment limit: ① Set the maximum positive adjustment limit MaxPositiveLimit as the upper bound of the forward adjustment.

[0062] ② If the currently calculated ratio adjustment amount > 0 and the ratio adjustment amount > MaxPositiveLimitoutput, then constrain it to: Ratio adjustment amount = MaxPositiveLimitoutput; (2)Reverse adjustment amplitude limit: ① Set the reverse maximum adjustment limit MaxNegativeLimit as the lower bound of negative adjustment.

[0063] ② If the current ratio adjustment amount < 0 and ∣output∣ > ∣MaxNegativeLimit∣ (i.e., the negative adjustment amplitude is too large), then constrain it to: Ratio adjustment amount = MaxNegativeLimit; (3)Minimum effective adjustment threshold: ① Define the lowest absolute value adjustment limit MinAdjustThreshold as the bottom line of the effectiveness of the adjustment amount.

[0064] ② If the absolute value of the final adjustment amount ∣Ratio adjustment amount∣ < MinAdjustThreshold, it is considered that the adjustment amount is too small and has no practical technological significance, and it is directly set to: Ratio adjustment amount = 0; 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.

[0065] As Figure 3 shown, the present disclosure also proposes a sintered ore basicity control system, and the system includes: The first acquisition module is used to acquire the first-stage ratio adjustment amount according to the update status of the XRF data source and the LIBS data source; The second acquisition module is used to acquire the 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 according to the first-stage ratio adjustment amount; The third acquisition module is used to perform amplitude limit protection on the second-stage ratio adjustment amount to acquire the third-stage ratio adjustment amount; The adjustment module is used to adjust the sintered ore raw material ratio according to the third-stage ratio adjustment amount to control the sintered ore basicity.

[0066] Specifically, the first acquisition module is used to acquire the first-stage ratio adjustment amount according to the update status of the XRF data source and the LIBS data source, including: The first acquisition module is used to confirm whether the current XRF data source updates data; If the XRF data source does not update data, then acquire the first-stage ratio adjustment amount based on the LIBS trend; If the XRF data source updates data, the first-stage ratio adjustment amount is obtained by the adaptive deviation correction method.

[0067] Specifically, the second obtaining module is configured to obtain the 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 according to the first-stage ratio adjustment amount, including: The second obtaining module is configured to determine whether the time difference meets the first time threshold or the second time threshold; 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; If the second time threshold is met, the second time threshold is segmented and weighted, and combined with the first-stage ratio adjustment amount, the second-stage ratio adjustment amount is obtained.

[0068] Specifically, the third obtaining module is configured to perform amplitude limiting protection on the second-stage ratio adjustment amount to obtain the third-stage ratio adjustment amount, including: The third obtaining module is configured to define the positive and negative values of the second-stage ratio adjustment amount as positive and negative adjustments; Set the upper bound threshold for positive adjustment; and set the lower bound threshold for negative adjustment; Compare the second-stage ratio adjustment amount defined as a positive value with the upper bound threshold. If the second-stage ratio adjustment amount is greater than the upper bound threshold, output the upper bound threshold; and compare the absolute value of the second-stage ratio adjustment amount defined as a negative value with the absolute value of the lower bound threshold. If the absolute value of the second-stage ratio adjustment amount is greater than the absolute value of the lower bound threshold, output the lower bound threshold; 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.

[0069] Those of ordinary skill in the art should understand that: Although the present disclosure has been described in detail with reference to the foregoing embodiments, it is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions 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 sinter, characterized in that, The method includes: Obtaining the first-stage ratio adjustment amount according to the update status of the XRF data source and the LIBS data source; 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; Performing amplitude limiting protection on the second-stage ratio adjustment amount to obtain the third-stage ratio adjustment amount; Adjusting the sinter ore raw material ratio according to the third-stage ratio adjustment amount to control the sinter ore basicity.

2. The sinter ore basicity control method according to claim 1, wherein Obtaining the first-stage ratio adjustment amount according to the update status of the XRF data source and the LIBS data source includes: Confirming whether the current XRF data source updates data; If the XRF data source does not update data, obtaining the first-stage ratio adjustment amount based on the LIBS trend; If the XRF data source updates data, obtaining the first-stage ratio adjustment amount through the adaptive deviation correction method.

3. The sinter ore basicity control method according to claim 2, wherein Obtaining the first-stage ratio adjustment amount based on the LIBS data source trend includes: Setting a ratio regulation period based on the LIBS data source; Collecting all LIBS data source data within the period according to the ratio regulation period; Filtering all LIBS data source data to obtain preprocessed LIBS data source data; Traversing the preprocessed LIBS data source data to obtain a historical sequence; Performing least squares fitting on the historical sequence to obtain a trend slope; and obtaining a consistency coefficient through all preprocessed LIBS data source data; Obtaining the trend intensity of the LIBS data source data according to the trend slope and the consistency coefficient; Obtaining the first-stage ratio adjustment amount according to the trend slope and the trend intensity.

4. The sinter ore basicity control method according to claim 2, wherein Obtaining the first-stage ratio adjustment amount through the adaptive deviation correction method includes: Obtaining a real-time deviation response value, an accumulated error compensation value, and a dynamic prediction correction value; Summing the real-time deviation response value, the accumulated error compensation value, and the dynamic prediction correction value to obtain the first-stage ratio adjustment amount.

5. The sinter ore basicity control method according to claim 2, wherein 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: Judging whether the time difference meets the first time threshold or the 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, segmentally weighting the second time threshold and combining it with the first-stage ratio adjustment amount to obtain the second-stage ratio adjustment amount.

6. The sinter ore basicity control method according to claim 5, wherein Determining the current adjustment direction according to the first-stage ratio adjustment amount includes: Obtaining the first-stage ratio adjustment amount, time corresponding to the most recent data update within the first time threshold, the first-stage ratio adjustment amount, and time corresponding to the current data update; Update the corresponding first-stage ratio adjustment amount according to the current data, and determine the adjustment direction.

7. The sintered ore basicity control method according to claim 6, characterized in that Obtain the second-stage ratio adjustment amount according to the adjustment direction, including: Set the adjustment direction function; 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; If the adjustment direction is the positive direction, calculate the amplitude ratio, and obtain the second-stage ratio adjustment amount based on the amplitude ratio; If the adjustment direction is the negative direction, obtain the second-stage ratio adjustment amount based on the current data update status.

8. The sintered ore basicity control method according to claim 7, characterized in that Segmentally weight the second time threshold and combine it with the first-stage ratio adjustment amount to obtain the second-stage ratio adjustment amount, including: Obtain all data of the first-stage ratio adjustment amount of the current data source within the second time threshold; Sum all the data to obtain the total adjustment sum; If the absolute value of the total adjustment sum is greater than the absolute value of the total adjustment sum threshold, segmentally weight the second time threshold to obtain the long-term adjustment sum, the short-term adjustment sum, and the weighting factor; Determine the dominant adjustment according to the long-term adjustment sum, the short-term adjustment sum, and the weighting factor; Obtain the second-stage ratio adjustment amount according to the dominant adjustment and the adjustment direction function.

9. The sintered ore basicity control method according to claim 8, characterized in that Determine the dominant adjustment according to the long-term adjustment sum, the short-term adjustment sum, and the weighting factor, including: Set the weight threshold; When the absolute value of the long-term adjustment sum is greater than the absolute value of the short-term adjustment sum, and the weighting factor is greater than the absolute value of the weight threshold, the long-term adjustment is the dominant; When the absolute value of the long-term adjustment sum is less than or equal to the absolute value of the short-term adjustment sum, and the weighting factor is greater than the absolute value of the weight threshold, the short-term adjustment is the dominant.

10. The sintered ore basicity control method according to claim 9, characterized in that Perform amplitude limiting protection on the second-stage ratio adjustment amount to obtain the third-stage ratio adjustment amount, including: Define the positive and negative values of the second-stage ratio adjustment amount as positive and negative adjustments; Set the upper bound threshold for positive adjustment; and set the lower bound threshold for negative adjustment; Compare the second-stage ratio adjustment amount defined as a positive value with the upper bound threshold. If the second-stage ratio adjustment amount is greater than the upper bound threshold, output the upper bound threshold; and compare the absolute value of the second-stage ratio adjustment amount defined as a negative value with the absolute value of the lower bound threshold. If the absolute value of the second-stage ratio adjustment amount is greater than the absolute value of the lower bound threshold, output the lower bound threshold; 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.

11. A sinter basicity control system, characterized in that, The system includes: The first acquisition module is used to acquire the first-stage ratio adjustment amount according to the update status of the XRF data source and the LIBS data source; A second acquisition module, configured to obtain 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 obtain the second-stage ratio adjustment amount according to the first-stage ratio adjustment amount; A third acquisition module, configured to perform amplitude limiting protection on the second-stage ratio adjustment amount to obtain a third-stage ratio adjustment amount; An adjustment module, configured to adjust the sinter ore raw material ratio according to the third-stage ratio adjustment amount and control the sinter ore basicity.

12. The sinter ore basicity control system according to claim 11, wherein A first acquisition module, configured to obtain a first-stage ratio adjustment amount according to the update status of the XRF data source and the LIBS data source, including: The first acquisition module is configured to confirm whether the current XRF data source updates data; If the XRF data source does not update data, obtain the first-stage ratio adjustment amount based on the LIBS trend; If the XRF data source updates data, obtain the first-stage ratio adjustment amount through an adaptive deviation correction method.

13. The sinter ore basicity control system according to claim 11, wherein A second acquisition module, configured to obtain 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 obtain the second-stage ratio adjustment amount according to the first-stage ratio adjustment amount, including: The second acquisition module is configured to determine whether the time difference meets a first time threshold or a second time threshold; If the first time threshold is met, determine the current adjustment direction according to the first-stage ratio adjustment amount, and then obtain the second-stage ratio adjustment amount according to the adjustment direction; If the second time threshold is met, segment and weight the second time threshold, and combine it with the first-stage ratio adjustment amount to obtain the second-stage ratio adjustment amount.

14. The sinter ore basicity control system according to claim 11, wherein A third acquisition module, configured to perform amplitude limiting protection on the second-stage ratio adjustment amount to obtain a third-stage ratio adjustment amount, including: The third acquisition module is configured to define the positive and negative values of the second-stage ratio adjustment amount as positive and negative adjustments; Set an upper bound threshold for positive adjustment; and set a lower bound threshold for negative adjustment; Compare the second-stage ratio adjustment amount defined as a positive value with the upper bound threshold. If the second-stage ratio adjustment amount is greater than the upper bound threshold, output the upper bound threshold; and compare the absolute value of the second-stage ratio adjustment amount defined as a negative value with the absolute value of the lower bound threshold. If the absolute value of the second-stage ratio adjustment amount is greater than the absolute value of the lower bound threshold, output the lower bound threshold; 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.

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