A tinplate production state data analysis method

Abstract

The present application relates to the technical field of steel metallurgy, and particularly discloses a tinplate production state data analysis method, which determines the converter process eligibility by real-time detection of the slag CaO content ratio, when unqualified, divides pre-optimized adjustment parameters and non-pre-optimized adjustment parameters based on parameter volatility analysis (sum of span performance value and fluctuation value) within the production cycle, preferentially adjusts the pre-optimized adjustment parameters to make the ratio meet the converter range, if the continuous casting requirement is not met, calculates the proportional deviation of the two parameter adjustment ranges and the continuous casting standard, determines the optimized adjustment parameters and non-optimized adjustment parameters in combination with the volatility index, and finally stabilizes the ratio in the continuous casting process range through the main adjustment of the optimized parameters and the fine adjustment of the non-optimized parameters. The present application ensures that the final adjusted ratio not only meets the converter process requirements, but also deeply meets the special needs of the continuous casting process for the slag fluidity and solidification characteristics, thereby improving the qualified rate of continuous casting billets.

Description

Technical Field

[0001] This invention relates to the field of iron and steel metallurgy technology, specifically to a method for analyzing tinplate production status data. Background Technology

[0002] During the connection between steelmaking and continuous casting processes in steel converters, the CaO at the converter outlet and The content ratio must not only meet the desulfurization and dephosphorization process requirements of the converter itself, but also adapt to the special requirements of the downstream continuous casting process for slag fluidity and solidification characteristics. If the slag fluidity in the continuous casting crystallizer is poor, it is easy to cause scale on the surface of the billet; if the solidification rate is abnormal, it may also cause the risk of steel leakage. Therefore, the adjustment of converter parameters must take into account the dual goals of "converter qualification" and "continuous casting adaptation".

[0003] However, a key problem currently exists in the industry: converter process parameter adjustments are only considered to "meet the converter's own process standards" without considering the specific requirements of the continuous casting process. This results in frequent production failures even after the qualified parameters from the converter are transferred to continuous casting. For example, when a steel plant produces low-alloy steel in its converter, it adjusts CaO and... While a slag ratio of 4:1 (the standard range for converters is 3.5:1-4.5:1) meets the desulfurization requirements of the converter, this ratio results in high slag viscosity. Consequently, the slag cannot evenly cover the molten steel surface after entering the continuous casting crystallizer, leading to billet edge nodules in three consecutive heats. This necessitates a shutdown to clean the crystallizer, causing a two-hour production interruption. Additionally, adjustments to the CaO content in the steel plant's converter... The ratio is 2.8:1 (which meets the converter standard of 2.5:1-3.2:1), but the continuous casting process requires that the ratio of this steel grade be no less than 3:1. Otherwise, if the slag solidifies too quickly, it will easily wrap the inclusions in the steel, resulting in subcutaneous cracks in the subsequent rolled material. Ultimately, 30% of the billets need to be remelted.

[0004] This situation, where "the converter is qualified but the continuous casting is not suitable," not only causes direct losses such as billet scrapping and equipment downtime, but also disrupts the continuous production rhythm of converter-continuous casting, increases the coordination costs between processes, and becomes a prominent problem restricting steel companies from improving production efficiency and product qualification rate.

[0005] Therefore, the present invention provides a method for analyzing tinplate production status data. Summary of the Invention

[0006] The purpose of this invention is to provide a method for analyzing tinplate production status data to solve the problems mentioned above.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] A method for analyzing tinplate production status data includes: determining the qualification of the converter process by using the proportion of process parameters of the current converter process;

[0009] If the converter process is not up to standard, perform a fluctuation analysis on the process parameters within the production cycle to determine the pre-optimal adjustment parameters and non-pre-optimal adjustment parameters;

[0010] Based on the pre-optimized adjustment parameters and non-pre-optimized adjustment parameters, pre-adjustment is performed, and it is determined whether the process parameter ratio of the current converter process after adjustment meets the requirements of the continuous casting process.

[0011] If not, calculate the proportional deviation between the pre-optimized adjustment parameter and the non-pre-optimized adjustment parameter based on the adjustment ratio range of the pre-optimized adjustment parameter and the non-pre-optimized adjustment parameter, and determine the optimal adjustment parameter and the non-optimized adjustment parameter in combination with the pre-optimized adjustment value;

[0012] Based on the optimal and non-optimal adjustment parameters, the proportions of process parameters for the current converter process are finally adjusted.

[0013] Furthermore, the process for determining the conformity of the converter process is as follows:

[0014] The process parameter ratios are: the proportion of CaO content in the slag and... The ratio between the percentages of content;

[0015] Compare the process parameter ratios with the converter process ratio range;

[0016] If the ratio of process parameters is not within the range of converter process ratios, it indicates that the converter process is unqualified.

[0017] Furthermore, the process of performing volatility analysis on the process parameters within the production cycle is as follows:

[0018] Based on any process parameter;

[0019] Obtain process parameters at different production time points within the production cycle;

[0020] Calculate the absolute deviation of process parameters between adjacent production time points to obtain the parameter adjacent deviation;

[0021] The mean value of adjacent deviations of all parameters is obtained by averaging the adjacent deviations of the parameters.

[0022] The average deviation of adjacent parameters is proportionally calculated with the span value of converter process parameters to obtain the converter span performance value;

[0023] The adjacent deviations of each parameter are proportionally calculated with the span value of the converter process parameter, and then integrated into a span ratio sequence.

[0024] Calculate the coefficient of variation of the span ratio sequence to obtain the span fluctuation value of the process parameters.

[0025] Furthermore, the process of determining the pre-optimization adjustment parameters and the non-pre-optimization adjustment parameters is as follows:

[0026] The converter span performance value and span fluctuation value are added together to obtain the pre-optimized adjustment value of the process parameters;

[0027] The process parameters corresponding to larger pre-optimization adjustment values ​​are selected as pre-optimization adjustment parameters, and the process parameters corresponding to smaller pre-optimization adjustment values ​​are selected as non-pre-optimization adjustment parameters.

[0028] Furthermore, the process of pre-adjusting and determining whether the process parameter ratios of the current converter process after adjustment meet the requirements of the continuous casting process is as follows:

[0029] Adjust the pre-optimization parameters while keeping the non-pre-optimization parameters unchanged, so that the proportion of process parameters after adjustment is within the range of converter process proportions;

[0030] Extract the proportions of process parameters after pre-optimization and compare them with the proportion range of continuous casting process parameters:

[0031] If the adjusted process parameter ratios are not within the range of continuous casting process ratios, then pre-adjustment of non-optimized adjustment parameters should be performed:

[0032] If the proportion of process parameters after the pre-adjustment of non-pre-optimized parameters is not within the range of continuous casting process proportions, it indicates that the proportion of process parameters of the current converter process after adjustment does not meet the requirements of continuous casting process.

[0033] Furthermore, the process of calculating the proportional deviation of the pre-optimization adjustment parameters is as follows:

[0034] Set the continuous casting process ratio range C= ;

[0035] Extract and summarize the adjusted process parameter ratios after pre-optimization, and obtain the pre-optimization ratio range A= ;

[0036] Based on the pre-optimization adjustment ratio range A= ;

[0037] Calculate the proportional deviation between the pre-optimization adjustment range A and the continuous casting process proportional range C:

[0038] If the maximum value of the pre-optimization adjustment ratio range A The minimum value of C, which is less than the proportion range of continuous casting process The proportional deviation is: ;

[0039] If the minimum value of the pre-optimization adjustment ratio range A Larger than the continuous casting process ratio range If the maximum value is reached, then the proportional deviation is: .

[0040] Furthermore, the process of calculating the proportional deviation of the non-optimal adjustment parameters is as follows:

[0041] Extract and summarize the adjusted process parameter ratios after the non-pre-optimization adjustment parameters are performed to obtain the non-pre-optimization adjustment ratio range B= ;

[0042] If the maximum value of the non-optimized adjustment ratio range B The minimum value of C, which is less than the proportion range of continuous casting process The proportional deviation is: ;

[0043] If the minimum value of the non-optimized adjustment ratio range B The maximum value of C, which is greater than the proportion range of continuous casting process The proportional deviation is: .

[0044] Furthermore, the process of determining the optimal and non-optimal adjustment parameters is as follows:

[0045] The difference between the maximum and minimum values ​​of the continuous casting process ratio range is processed to obtain the span value of the continuous casting process parameters;

[0046] The proportional deviation is calculated proportionally to the span value of the continuous casting process parameters to obtain the continuous casting span performance value.

[0047] The continuous casting span performance value and the pre-optimization adjustment value of the pre-optimization adjustment parameters are added together;

[0048] The continuous casting span performance value of the non-pre-optimized adjustment parameter is added to the pre-optimized adjustment value;

[0049] The process parameter corresponding to the larger additive result is selected as the optimal adjustment parameter, and the process parameter corresponding to the smaller additive result is selected as the non-optimal adjustment parameter.

[0050] Furthermore, the process of making the final adjustment to the process parameter ratios of the current converter process is as follows:

[0051] Adjust the optimal adjustment parameters, keep the non-optimal adjustment parameters unchanged, and calculate the proportion of process parameters after adjustment;

[0052] If the process parameter ratios are within the range of continuous casting process ratios, then the final adjustment should be stopped.

[0053] If the process parameter ratio is not within the range of the continuous casting process ratio, then fine-tuning of the non-optimal adjustment parameters should be added.

[0054] Adjust the non-optimal adjustment parameters so that the final adjusted process parameter ratios are within the range of continuous casting process ratios.

[0055] A tinplate production status data analysis system is characterized by:

[0056] Acceptance Module: Determines the acceptance of the converter process based on the proportion of process parameters in the current converter process;

[0057] Priority Prediction Module: If the converter process is unqualified, perform fluctuation analysis on the process parameters within the production cycle to determine the pre-optimization adjustment parameters and non-pre-optimization adjustment parameters;

[0058] Pre-adjustment verification module: Based on pre-optimized adjustment parameters and non-pre-optimized adjustment parameters, pre-adjustment is performed, and it is determined whether the process parameter ratio of the current converter process after adjustment meets the requirements of the continuous casting process.

[0059] Priority determination module: If not satisfied, calculate the ratio deviation between the pre-optimized adjustment parameter and the non-pre-optimized adjustment parameter based on the adjustment ratio range of the pre-optimized adjustment parameter and the non-pre-optimized adjustment parameter, and determine the optimal adjustment parameter and the non-optimized adjustment parameter in combination with the pre-optimized adjustment value;

[0060] Final Adjustment Module: Based on optimal and non-optimal adjustment parameters, the module performs final adjustments to the process parameter ratios of the current converter process.

[0061] The beneficial effects of this invention are:

[0062] This invention uses volatility analysis to identify pre-optimization parameters that have a greater impact on imbalance. Pre-optimization is used to quickly bring the process parameter ratios into line with converter standards. Simultaneously, it verifies whether the ratios are suitable for the continuous casting range. If they are not suitable, the optimal adjustment parameters are further determined to accurately narrow the gap with the continuous casting standards. This ensures that the final adjusted ratios not only meet the converter process requirements but also closely match the special needs of the continuous casting process for slag fluidity and solidification characteristics. This avoids problems such as slag inclusions, peeling, and subsurface cracks in continuously cast billets caused by insufficient ratio compatibility from the source, thereby improving the qualification rate of continuously cast billets. Attached Figure Description

[0063] The invention will now be further described with reference to the accompanying drawings.

[0064] Figure 1 This is a schematic diagram of the structure of the tinplate production status data analysis method of the present invention;

[0065] Figure 2 This is a schematic diagram of the steps in the method for analyzing the production status data of tinplate in this invention;

[0066] Figure 3 This is a system block diagram of the tinplate production status data analysis system of the present invention. Detailed Implementation

[0067] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0068] Please see Figure 1 - Figure 2 As shown, this invention is a method for analyzing tinplate production status data, comprising the following steps:

[0069] The aforementioned method for analyzing tinplate production status data mainly focuses on analyzing production status data during the production process of tinplate steel substrates. Its main process flow is as follows: converter smelting (converter process) → continuous casting (continuous casting process) → hot rolling, pickling, and cold rolling process → annealing, electroplating tin, passivation, and refining process.

[0070] Step 1: Determine the qualification of the converter process by using the process parameter ratios of the current converter process;

[0071] In step one, the process parameters include: the percentage of CaO content in the slag and Content percentage, the process parameter ratio is the CaO content percentage and The ratio between the percentages of content;

[0072] It should be noted that the current process parameters for the converter process are obtained as follows: slag samples are collected using a molten steel slag sampling device, and the actual CaO content is determined by X-ray fluorescence spectrometry (XRF) of the slag samples. Actual content percentage;

[0073] In step one, the process of determining conformity is as follows:

[0074] Compare the process parameter ratios with the converter process ratio range;

[0075] If the process parameter ratios are within the range of converter process ratios, it indicates that the converter process is qualified.

[0076] If the ratio of process parameters is not within the range of converter process ratios, it indicates that the converter process is unqualified.

[0077] It should be noted that the range of converter process ratios is set according to the production requirements of the steel company's process documents;

[0078] Step 2: If the converter process is not up to standard, perform a fluctuation analysis on the process parameters within the production cycle, determine the priority of process parameter adjustment and classify them, and obtain the pre-optimal adjustment parameters and non-pre-optimal adjustment parameters.

[0079] It should be noted that the production cycle refers to the period of time that has been produced from the start of production to the current production time.

[0080] In step two, the process of performing volatility analysis on the process parameters within the production cycle and determining the priority of process parameter adjustments is as follows:

[0081] Based on any process parameter;

[0082] Obtain process parameters at different production time points within the production cycle;

[0083] Calculate the absolute deviation of process parameters between adjacent production time points (the absolute value of the process parameter deviation) to obtain the parameter adjacent deviation;

[0084] Based on multiple production time points, the adjacent deviations of multiple parameters are averaged to obtain the mean value of the adjacent parameter deviations.

[0085] The average deviation of adjacent parameters is proportionally calculated with the span value of converter process parameters to obtain the converter span performance value;

[0086] Among them, the range of converter process parameters is the difference between the maximum and minimum values ​​of the standard range of process parameters. For example, if the standard range of process parameters for CaO content is [f1-f2], then the range of converter process parameters is f2-f1.

[0087] The adjacent deviations of each parameter are proportionally calculated with the span value of the converter process parameters to obtain the span ratio of process parameters between multiple adjacent production time points, and then integrated into a span ratio sequence.

[0088] Calculate the coefficient of variation of the span ratio sequence to obtain the span fluctuation value of the process parameters;

[0089] The converter span performance value and span fluctuation value are added together to obtain the pre-optimized adjustment value of the process parameters;

[0090] Understandably, the pre-optimal adjustment value of the process parameters reflects the following physical meaning: the pre-optimal adjustment value is calculated through the converter span performance value and the span fluctuation value. The converter span performance value reflects the average amplitude of each change of the process parameters within the production cycle, while the span fluctuation value reflects the volatility of each change of the process parameters within the production cycle. Therefore, if the average amplitude of the process parameters changes greatly, it means that the proportion of the process parameters is prone to imbalance. If the volatility of each change is large, the imbalance is even more difficult to predict and control. Therefore, combining the physical meaning of the two indicators and the core requirements of the converter process, the priority is to solve the unstable and influential process parameters, and the sum of the two indicators is selected as the pre-optimal adjustment value of the process parameters.

[0091] In step two, the process of distinguishing between pre-optimized and non-pre-optimized adjustment parameters is as follows:

[0092] Select the process parameters corresponding to larger pre-optimization adjustment values ​​as pre-optimization adjustment parameters, and the process parameters corresponding to smaller pre-optimization adjustment values ​​as non-pre-optimization adjustment parameters;

[0093] For example, the optimal adjustment value for CaO is greater than If the pre-optimized adjustment value is found, then CaO is the pre-optimized adjustment parameter. It should be noted that, due to the highly random variation in material content during production, CaO and... The volatility or magnitude of change between them is unlikely to be the same, therefore CaO and... When the adjustment priorities are the same;

[0094] It should be noted that the beneficial effects of distinguishing between pre-optimization and non-pre-optimization parameters are as follows:

[0095] Beneficial effect 1: By focusing on pre-optimized adjustment parameters with large average amplitude and large fluctuation amplitude, the core root causes of process ratio imbalance can be controlled first, reducing ineffective intervention on low-fluctuation parameters and improving the efficiency and pertinence of converter process pre-adjustment.

[0096] Benefit 2: It provides a clear operational priority for subsequent pre-adjustments, avoids secondary fluctuations in process parameters caused by blind adjustments, ensures that the adjustment process conforms to the process optimization logic of solving key contradictions first, and connects with the continuous casting process verification requirements;

[0097] Step 3: Based on the pre-optimization adjustment parameters and non-pre-optimization adjustment parameters, pre-adjust the process parameter ratios of the current converter process, and determine whether the adjusted process parameter ratios of the current converter process meet the requirements of the continuous casting process.

[0098] In step three, the process of pre-adjusting the process parameters of the current converter process is as follows:

[0099] Adjust the pre-optimization parameters while keeping the non-pre-optimization parameters unchanged, so that the proportion of process parameters after adjustment is within the range of converter process proportions;

[0100] In step three, the process of determining whether the adjusted process parameter ratios of the current converter process meet the requirements of the continuous casting process is as follows:

[0101] Extract the proportions of process parameters after pre-optimization and compare them with the proportion range of continuous casting process parameters:

[0102] It should be noted that the range of continuous casting process ratios is set according to the production requirements of the steel enterprise's process documents;

[0103] If the adjusted process parameter ratio is within the range of the continuous casting process ratio, it means that the pre-adjustment of the pre-optimized adjustment parameters meets the requirements of the continuous casting process.

[0104] If the adjusted process parameter ratios are not within the range of continuous casting process ratios, then pre-adjustment of non-optimized adjustment parameters should be performed:

[0105] Adjust the non-pre-optimization adjustment parameters while keeping the pre-optimization adjustment parameters unchanged, so that the proportion of process parameters after pre-adjustment is within the range of continuous casting process proportions;

[0106] If the proportion of process parameters after pre-adjustment is within the range of continuous casting process proportion, it means that the pre-adjustment of non-pre-optimized parameters meets the requirements of continuous casting process, and the non-pre-optimized parameters are swapped with the pre-optimized parameters.

[0107] For example, the pre-adjustment of the pre-optimized adjustment parameter (CaO) cannot meet the requirements of the continuous casting process, while the non-pre-optimized adjustment parameter (CaO) If the pre-adjustment meets the requirements of the continuous casting process, then... To exchange with CaO, that is The parameter is for pre-optimization, while CaO is a non-pre-optimization parameter.

[0108] If the process parameter ratios after pre-adjustment cannot be made to fall within the range of continuous casting process ratios, it indicates that the process parameter ratios of the current converter process after adjustment do not meet the requirements of continuous casting process.

[0109] Step 4: If the process parameter ratio of the current converter process after adjustment does not meet the requirements of the continuous casting process, calculate the ratio deviation between the pre-optimized adjustment parameter and the non-pre-optimized adjustment parameter based on the adjustment ratio range that the pre-optimized adjustment parameter and the non-pre-optimized adjustment parameter can achieve within the converter process ratio range, and determine the optimal adjustment parameter and the non-optimized adjustment parameter by combining the pre-optimized adjustment parameter and the pre-optimized adjustment value of the non-pre-optimized adjustment parameter.

[0110] In step four, the process of calculating the proportional deviation between the pre-optimized adjustment parameters and the non-pre-optimized adjustment parameters is as follows:

[0111] Extract and summarize the adjusted process parameter ratios after pre-optimization, and obtain the pre-optimization ratio range A= (That is, the range of adjustment ratios that the pre-optimized adjustment parameters can achieve within the converter process ratio range).

[0112] Extract and summarize the adjusted process parameter ratios after the non-pre-optimization adjustment parameters are performed to obtain the non-pre-optimization adjustment ratio range B= (i.e., the range of adjustment ratios that non-pre-optimized adjustment parameters can achieve within the converter process ratio range).

[0113] Based on the pre-optimization adjustment ratio range A= :

[0114] Calculate the pre-optimization adjustment ratio range A and the continuous casting process ratio range C = The proportional deviation between them;

[0115] The methods for calculating the proportional deviation include:

[0116] If the maximum value of the pre-optimization adjustment ratio range A The minimum value of C, which is less than the proportion range of continuous casting process The proportional deviation is: ;

[0117] If the minimum value of the pre-optimization adjustment ratio range A Larger than the continuous casting process ratio range If the maximum value is reached, then the proportional deviation is: ;

[0118] Based on the non-optimized adjustment ratio range B= :

[0119] Calculate the proportional deviation between the non-optimal adjustment range B and the continuous casting process proportional range C;

[0120] The methods for calculating the proportional deviation include:

[0121] If the maximum value of the non-optimized adjustment ratio range B The minimum value of C, which is less than the proportion range of continuous casting process The proportional deviation is: ;

[0122] If the minimum value of the non-optimized adjustment ratio range B The maximum value of C, which is greater than the proportion range of continuous casting process The proportional deviation is: ;

[0123] It should be noted that since the process parameter ratios of the current converter process after adjustment do not meet the requirements of the continuous casting process, the pre-optimized adjustment ratio range A and the non-pre-optimized adjustment ratio range B do not overlap with the continuous casting process ratio range C. If there is an overlap, it means that the process parameter ratios of the current converter process after adjustment can meet the requirements of the continuous casting process, which contradicts the fact that the process parameter ratios of the current converter process after adjustment do not meet the requirements of the continuous casting process.

[0124] It should be noted that the beneficial effect of calculating the proportional deviation is that:

[0125] Effect 1: By quantifying the proportional deviation between the pre-optimized parameter adjustment range, the non-pre-optimized parameter adjustment range, and the continuous casting process ratio range, objective data is provided for determining the optimal and non-optimized adjustment parameters, avoiding deviations in adjustment direction caused by subjective experience;

[0126] Effect 2: Precisely pinpointing the gap between parameter adjustments and continuous casting requirements provides a clear target for subsequent final adjustments, ensuring that adjustment measures focus on reducing deviations from continuous casting standards and guaranteeing the stability of the transition from converter process to continuous casting process;

[0127] In step four, the process of determining the optimal and non-optimal adjustment parameters is as follows:

[0128] The proportional deviation is compared with the span value of the continuous casting process parameters ( The proportional calculation is performed to obtain the continuous casting span performance value;

[0129] The continuous casting span performance value and the pre-optimization adjustment value of the pre-optimization adjustment parameters are added together;

[0130] The continuous casting span performance value of the non-pre-optimized adjustment parameter is added to the pre-optimized adjustment value;

[0131] The process parameter corresponding to the larger additive result is selected as the optimal adjustment parameter, and the process parameter corresponding to the smaller additive result is selected as the non-optimal adjustment parameter.

[0132] Step 5: Based on the optimal and non-optimal adjustment parameters, make final adjustments to the process parameter ratios of the current converter process;

[0133] Adjust the optimal adjustment parameters, keep the non-optimal adjustment parameters unchanged, and calculate the proportion of process parameters after adjustment;

[0134] If the process parameter ratios are within the range of continuous casting process ratios, then the final adjustment should be stopped.

[0135] If the process parameter ratio is not within the range of the continuous casting process ratio, then fine-tuning of the non-optimal adjustment parameters should be added.

[0136] Adjust the non-optimal adjustment parameters (keeping the optimal adjustment parameters at their limit values) so that the proportion of the process parameters after the final adjustment is within the range of the continuous casting process proportion;

[0137] If the process parameter ratio is still not within the range of the continuous casting process ratio after the fine-tuning of the additional non-optimal adjustment parameters, then the process parameter ratio after the fine-tuning of the non-optimal adjustment parameters is closest to the range of the continuous casting process ratio.

[0138] It should be noted that the adjustment methods for pre-adjustment and final adjustment can be: adding lime to increase the proportion of CaO, adding acidic additives (such as...) This reduces the proportion of CaO; adding pure aluminum wire reduces the proportion of CaO. Increased content percentage, added low Magnesium-based additives (such as MgO) make The content percentage decreased;

[0139] The working principle of this invention is as follows: The converter process is qualified by using the current process parameter ratios. If the converter process is unqualified, the process parameters within the production cycle are analyzed for fluctuations to determine the priority of process parameter adjustments and classify them, resulting in pre-optimal adjustment parameters and non-pre-optimal adjustment parameters. Based on these parameters, the current converter process parameter ratios are pre-adjusted, and it is determined whether the adjusted ratios meet the requirements of continuous casting. If the adjusted ratios do not meet the requirements, the ratio deviations are calculated based on the adjustable ratio ranges achievable by the pre-optimal and non-pre-optimal adjustment parameters within the converter process ratio range. Combined with the pre-optimal adjustment values ​​of the pre-optimal and non-pre-optimal adjustment parameters, optimal and non-optimal adjustment parameters are determined. Finally, the current converter process parameter ratios are adjusted based on these parameters.

[0140] Example 2: Please refer to Figure 3 As shown in the embodiment of the present invention, a tinplate production status data analysis system includes:

[0141] Acceptance Module: Determines the acceptance of the converter process based on the proportion of process parameters in the current converter process.

[0142] Execution process: By calculating the process parameter ratios of the current converter process and comparing them with the converter process ratio range, the process of the converter is determined to be qualified or unqualified.

[0143] Priority Prediction Module: If the converter process is unqualified, perform fluctuation analysis on the process parameters within the production cycle to determine the pre-optimization adjustment parameters and non-pre-optimization adjustment parameters.

[0144] Execution process: Obtain process parameters at different time points within the production cycle, calculate the absolute deviation of adjacent parameters and average them, combine the converter process parameter span value to calculate the span performance value, compare each adjacent deviation with the span value to obtain the span ratio sequence, calculate the coefficient of variation to obtain the span fluctuation value, sum the two to obtain the pre-optimization adjustment value, and classify the pre-optimization adjustment parameters (large value) and non-pre-optimization adjustment parameters (small value) according to the value.

[0145] Pre-adjustment verification module: Based on pre-optimized adjustment parameters and non-pre-optimized adjustment parameters, pre-adjustment is performed, and it is determined whether the process parameter ratio of the current converter process after adjustment meets the requirements of the continuous casting process.

[0146] Execution process: Prioritize adjusting the pre-optimization parameters (non-pre-optimization parameters remain unchanged) to bring the process parameter ratios into the converter process range. Extract the adjusted process parameter ratios and compare them with the continuous casting process ratio range: if they meet the requirements, the verification is passed; if they do not meet the requirements, adjust the non-pre-optimization parameters (pre-optimization parameters remain unchanged). If they meet the requirements, switch the priorities of the two; if they do not meet the requirements, it is determined that the continuous casting process is not met.

[0147] Priority determination module: If not satisfied, calculate the proportional deviation between the pre-optimized adjustment parameter and the non-pre-optimized adjustment parameter based on the adjustment ratio range of the pre-optimized adjustment parameter and the non-pre-optimized adjustment parameter, and determine the optimal adjustment parameter and the non-optimized adjustment parameter in combination with the pre-optimized adjustment value.

[0148] Execution process: Extract the adjustment ratio ranges (A, B) of the pre-optimized adjustment parameters and non-pre-optimized adjustment parameters, calculate the ratio deviations from the continuous casting process range (C) respectively, sum the deviations with the corresponding pre-optimized adjustment values ​​respectively, and determine the optimal adjustment parameters (larger result) and non-optimized adjustment parameters (smaller result) according to the size of the result.

[0149] Final Adjustment Module: Based on optimal and non-optimal adjustment parameters, the module performs final adjustments to the process parameter ratios of the current converter process.

[0150] Execution process: Adjust the optimal adjustment parameters (keeping the non-optimal adjustment parameters unchanged), calculate the adjusted process parameter ratios. If the ratios meet the continuous casting process ratio range, stop adjusting. If not, fine-tune the non-optimal adjustment parameters (keeping the optimal adjustment parameters at their limit values) to bring the process parameter ratios into the continuous casting process ratio range. If the ratios still do not meet the range, ensure they are close to the continuous casting process ratio range.

[0151] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the present invention should still fall within the scope of the present invention.

Claims

1. A method for analyzing tinplate production status data, characterized in that: The qualification of the converter process is determined by the proportion of process parameters in the current converter process. If the converter process is not up to standard, perform a fluctuation analysis on the process parameters within the production cycle to determine the pre-optimal adjustment parameters and non-pre-optimal adjustment parameters; The process of performing fluctuation analysis on process parameters within a production cycle is as follows: Based on any process parameter; Obtain process parameters at different production time points within the production cycle; Calculate the absolute deviation of process parameters between adjacent production time points to obtain the parameter adjacent deviation; The mean value of adjacent deviations of all parameters is obtained by averaging the adjacent deviations of the parameters. The average deviation of adjacent parameters is proportionally calculated with the span value of converter process parameters to obtain the converter span performance value; The adjacent deviations of each parameter are proportionally calculated with the span value of the converter process parameter, and then integrated into a span ratio sequence. Calculate the coefficient of variation of the span ratio sequence to obtain the span fluctuation value of the process parameters; The process of determining the pre-optimization adjustment parameters and the non-pre-optimization adjustment parameters is as follows: The converter span performance value and span fluctuation value are added together to obtain the pre-optimized adjustment value of the process parameters; Select the process parameters corresponding to larger pre-optimization adjustment values ​​as pre-optimization adjustment parameters, and the process parameters corresponding to smaller pre-optimization adjustment values ​​as non-pre-optimization adjustment parameters; Based on the pre-optimized adjustment parameters and non-pre-optimized adjustment parameters, pre-adjustment is performed, and it is determined whether the process parameter ratio of the current converter process after adjustment meets the requirements of the continuous casting process. If not, calculate the proportional deviation between the pre-optimized adjustment parameter and the non-pre-optimized adjustment parameter based on the adjustment ratio range of the pre-optimized adjustment parameter and the non-pre-optimized adjustment parameter, and determine the optimal adjustment parameter and the non-optimized adjustment parameter in combination with the pre-optimized adjustment value; Based on the optimal and non-optimal adjustment parameters, the proportions of process parameters for the current converter process are finally adjusted.

2. The method for analyzing tinplate production status data according to claim 1, characterized in that: The process for determining the conformity of the converter process is as follows: The process parameters include: the percentage of CaO content and the percentage of Al2O3 content in the slag; The process parameter ratio is the ratio between the percentage of CaO content and the percentage of Al2O3 content. If the ratio of process parameters is not within the range of converter process ratios, it indicates that the converter process is unqualified.

3. The method for analyzing tinplate production status data according to claim 1, characterized in that: The process of performing pre-adjustment and determining whether the process parameter ratios of the current converter process after adjustment meet the requirements of the continuous casting process is as follows: Adjust the pre-optimization parameters while keeping the non-pre-optimization parameters unchanged, so that the proportion of process parameters after adjustment is within the range of converter process proportions; Extract the proportions of process parameters after pre-optimization and compare them with the proportion range of continuous casting process parameters: If the adjusted process parameter ratios are not within the range of continuous casting process ratios, then pre-adjustment of non-optimized adjustment parameters should be performed: If the proportion of process parameters after the pre-adjustment of non-pre-optimized parameters is not within the range of continuous casting process proportions, it indicates that the proportion of process parameters of the current converter process after adjustment does not meet the requirements of continuous casting process.

4. The method for analyzing tinplate production status data according to claim 1, characterized in that: The process of calculating the proportional deviation of the pre-optimization adjustment parameters is as follows: Set the continuous casting process ratio range C= ; Extract and summarize the adjusted process parameter ratios after pre-optimization, and obtain the pre-optimization ratio range A= ; Based on the pre-optimization adjustment ratio range A= ; Calculate the proportional deviation between the pre-optimization adjustment range A and the continuous casting process proportional range C: If the maximum value of the pre-optimization adjustment ratio range A The minimum value of C, which is less than the proportion range of continuous casting process The proportional deviation is: ; If the minimum value of the pre-optimization adjustment ratio range A Larger than the continuous casting process ratio range If the maximum value is reached, then the proportional deviation is: .

5. The method for analyzing tinplate production status data according to claim 4, characterized in that: The process for calculating the proportional deviation of the non-optimal adjustment parameters is as follows: Extract and summarize the adjusted process parameter ratios after the non-pre-optimization adjustment parameters are performed to obtain the non-pre-optimization adjustment ratio range B= ; If the maximum value of the non-optimized adjustment ratio range B The minimum value of C, which is less than the proportion range of continuous casting process The proportional deviation is: ; If the minimum value of the non-optimized adjustment ratio range B The maximum value of C, which is greater than the proportion range of continuous casting process The proportional deviation is: .

6. The method for analyzing tinplate production status data according to claim 5, characterized in that: The process of determining the optimal and non-optimal adjustment parameters is as follows: The difference between the maximum and minimum values ​​of the continuous casting process ratio range is processed to obtain the span value of the continuous casting process parameters; The proportional deviation is calculated proportionally to the span value of the continuous casting process parameters to obtain the continuous casting span performance value. The continuous casting span performance value and the pre-optimization adjustment value of the pre-optimization adjustment parameters are added together; The continuous casting span performance value of the non-pre-optimized adjustment parameter is added to the pre-optimized adjustment value; The process parameter corresponding to the larger additive result is selected as the optimal adjustment parameter, and the process parameter corresponding to the smaller additive result is selected as the non-optimal adjustment parameter.

7. The method for analyzing tinplate production status data according to claim 1, characterized in that: The process of making the final adjustment to the process parameter ratios of the current converter process is as follows: Adjust the optimal adjustment parameters, keep the non-optimal adjustment parameters unchanged, and calculate the proportion of process parameters after adjustment; If the process parameter ratios are within the range of continuous casting process ratios, then the final adjustment should be stopped. If the process parameter ratio is not within the range of the continuous casting process ratio, then fine-tuning of the non-optimal adjustment parameters should be added. Adjust the non-optimal adjustment parameters so that the final adjusted process parameter ratios are within the range of continuous casting process ratios.

8. A tinplate production status data analysis system, characterized in that: Acceptance Module: Determines the acceptance of the converter process based on the proportion of process parameters in the current converter process; Priority Prediction Module: If the converter process is unqualified, perform fluctuation analysis on the process parameters within the production cycle to determine the pre-optimization adjustment parameters and non-pre-optimization adjustment parameters; The process of performing fluctuation analysis on process parameters within a production cycle is as follows: Based on any process parameter; Obtain process parameters at different production time points within the production cycle; Calculate the absolute deviation of process parameters between adjacent production time points to obtain the parameter adjacent deviation; The mean value of adjacent deviations of all parameters is obtained by averaging the adjacent deviations of the parameters. The average deviation of adjacent parameters is proportionally calculated with the span value of converter process parameters to obtain the converter span performance value; The adjacent deviations of each parameter are proportionally calculated with the span value of the converter process parameter, and then integrated into a span ratio sequence. Calculate the coefficient of variation of the span ratio sequence to obtain the span fluctuation value of the process parameters; The process of determining the pre-optimization adjustment parameters and the non-pre-optimization adjustment parameters is as follows: The converter span performance value and span fluctuation value are added together to obtain the pre-optimized adjustment value of the process parameters; Select the process parameters corresponding to larger pre-optimization adjustment values ​​as pre-optimization adjustment parameters, and the process parameters corresponding to smaller pre-optimization adjustment values ​​as non-pre-optimization adjustment parameters; Pre-adjustment verification module: Based on pre-optimized adjustment parameters and non-pre-optimized adjustment parameters, pre-adjustment is performed, and it is determined whether the process parameter ratio of the current converter process after adjustment meets the requirements of the continuous casting process. Priority determination module: If not satisfied, calculate the ratio deviation between the pre-optimized adjustment parameter and the non-pre-optimized adjustment parameter based on the adjustment ratio range of the pre-optimized adjustment parameter and the non-pre-optimized adjustment parameter, and determine the optimal adjustment parameter and the non-optimized adjustment parameter in combination with the pre-optimized adjustment value; Final Adjustment Module: Based on optimal and non-optimal adjustment parameters, the module performs final adjustments to the process parameter ratios of the current converter process.

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