Tinplate production state data analysis method

Abstract

The invention relates to the technical field of ferrous metallurgy, and particularly discloses a tinplate production state data analysis method, which comprises the following steps of: judging the process qualification of a converter by detecting the content ratio of CaO in slag in real time, and judging whether the converter is qualified or not based on parameter fluctuation analysis (the sum of a span expression value and a fluctuation value) in a production period; dividing pre-optimal adjustment parameters and non-pre-optimal adjustment parameters, preferentially adjusting the pre-optimal adjustment parameters to enable the proportion to conform to the converter range, if the continuous casting requirement is not met, calculating the proportion deviation between the adjustment ranges of the two parameters and the continuous casting standard, determining the optimal adjustment parameters and the non-optimal adjustment parameters in combination with the fluctuation index, and finally adjusting the continuous casting standard through main adjustment of the optimal parameters and fine adjustment of the non-optimal parameters. And the proportion is stabilized in a continuous casting process range. According to the method, it is ensured that the finally adjusted proportion meets the technological requirements of the converter, the special requirements of the continuous casting technology for the fluidity and solidification characteristics of the slag are met more deeply, and the qualified rate of continuous casting blanks is increased.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of steel metallurgy, and particularly relates to a tinplate production state data analysis method. BACKGROUND

[0002] In the process of connecting the steel converter steelmaking and the continuous casting process, the CaO and The content proportion ratio not only needs to meet the process requirements of converter desulfurization and dephosphorization, but also needs to adapt to the special requirements of the downstream continuous casting link on the flowability and solidification characteristics of the slag in the continuous casting crystallizer. If the flowability of the slag in the continuous casting crystallizer is poor, it is easy to cause the surface of the casting blank to be scabby. If the solidification speed is abnormal, it may also cause the risk of breakout. Therefore, the adjustment of the converter parameters needs to take into account the dual goals of "converter qualification" and "continuous casting adaptation". However, there is a key problem in the current industry: the adjustment of the converter process parameters only takes "meeting the process standards of the converter itself" as the terminal, without taking into account the specific requirements of the continuous casting link in advance, resulting in that the parameter ratio qualified by the converter still frequently causes production failures after entering the continuous casting. For example, when a certain steel plant produces low alloy steel, the CaO and The proportion is controlled at 4:1 (the standard range of the converter is 3.5:1-4.5:1), which meets the desulfurization requirement of the converter, but the slag viscosity is high at this ratio, and the slag cannot uniformly cover the surface of the molten steel after entering the continuous casting crystallizer. The edge and corner of the casting blank are scabby in three consecutive heats, and the crystallizer needs to be stopped for cleaning, causing a 2-hour production interruption. Another steel plant adjusts the CaO and The proportion is 2.8:1 (which meets the standard of 2.5:1-3.2:1 of the converter), but the continuous casting link requires that the ratio corresponding to this steel grade should not be less than 3:1, otherwise the slag will be too fast to solidify and will easily wrap the inclusions in the steel, causing subcutaneous cracks in the subsequent rolled material, and finally 30% of the casting blanks need to be re-melted.

[0003] This "qualified by the converter but not adapted to the continuous casting" situation not only causes the casting blank to be scrapped, the equipment to be stopped, and other direct losses, but also breaks the continuous production rhythm of the converter-continuous casting, increases the coordination cost between processes, and becomes a prominent problem restricting the improvement of the production efficiency and the product qualification rate of the steel plant.

[0004] Therefore, the present application provides a tinplate production state data analysis method. SUMMARY

[0005] The purpose of the present application is to provide a tinplate production state data analysis method to solve the problems in the above background.

[0006] The purpose of the present application can be achieved by the following technical solutions: A tinplate production state data analysis method, comprising: performing converter process qualification by the process parameter ratio of the current converter process; If the converter process is unqualified, the process parameters in the production cycle are analyzed for volatility, and pre-optimization adjustment parameters and non-pre-optimization adjustment parameters are determined; Based on the pre-optimization adjustment parameters and the non-pre-optimization adjustment parameters, pre-adjustment is performed, and it is judged whether the process parameter proportion of the current converter process after adjustment meets the continuous casting process; If not, the proportion deviation of the pre-optimization adjustment parameters and the non-pre-optimization adjustment parameters is calculated according to the adjustment proportion range of the pre-optimization adjustment parameters and the non-pre-optimization adjustment parameters, and the optimal adjustment parameters and the non-optimal adjustment parameters are determined in combination with the pre-optimization adjustment value; Based on the optimal adjustment parameters and the non-optimal adjustment parameters, the process parameter proportion of the current converter process is finally adjusted.

[0007] Further, the process of determining the eligibility of the converter process is: The process parameter proportion is: the proportion of CaO content in slag and The proportion between the content proportion; Compare the process parameter proportion with the converter process proportion range; If the process parameter proportion is not in the converter process proportion range, it means that the converter process is unqualified.

[0008] Further, the process of analyzing the process parameters in the production cycle for volatility is: Based on any process parameter; Obtain the process parameters at different production time points in the production cycle; Calculate the absolute deviation of the process parameters between adjacent production time points to obtain the parameter adjacent deviation; Perform mean value processing on all parameter adjacent deviations to obtain the parameter adjacent deviation mean value; Proportionally calculate the parameter adjacent deviation mean value and the converter process parameter span value to obtain the converter span performance value; Proportionally calculate each parameter adjacent deviation and the converter process parameter span value, and integrate them into a span proportion sequence; Calculate the coefficient of variation of the span proportion sequence to obtain the span fluctuation value of the process parameters.

[0009] Further, the process of determining the pre-optimization adjustment parameters and the non-pre-optimization adjustment parameters is: Add the converter span performance value and the span fluctuation value to obtain the pre-optimization adjustment value of the process parameters; Select the process parameters corresponding to the large pre-optimization adjustment value as the pre-optimization adjustment parameters, and the process parameters corresponding to the small pre-optimization adjustment value as the non-pre-optimization adjustment parameters.

[0010] Further, the process of pre-adjustment and judging whether the process parameter proportion of the current converter process after adjustment meets the continuous casting process is: adjusting the pre-optimization adjustment parameters and keeping the non-pre-optimization adjustment parameters unchanged, so that the process parameter ratio after the adjustment is within the converter process parameter ratio range; extracting the process parameter ratio after the pre-optimization adjustment parameter adjustment and comparing and analyzing it with the continuous casting process parameter ratio range: If the process parameter ratio after the adjustment is not within the continuous casting process parameter ratio range, pre-adjustment of the non-pre-optimization adjustment parameters is performed: If the process parameter ratio after the pre-adjustment of the non-pre-optimization adjustment parameters is not within the continuous casting process parameter ratio range, it means that the process parameter ratio of the current converter process after the adjustment does not meet the continuous casting process.

[0011] Further, the process of calculating the ratio deviation of the pre-optimization adjustment parameters is: Setting the continuous casting process parameter ratio range C= ; Extracting the process parameter ratio after the pre-optimization adjustment parameter adjustment and summarizing it to obtain the pre-optimization adjustment ratio range A= ; Based on the pre-optimization adjustment ratio range A= ; Calculate the ratio deviation between the pre-optimization adjustment ratio range A and the continuous casting process parameter ratio range C: If the maximum value of the pre-optimization adjustment ratio range A is less than the minimum value of the continuous casting process parameter ratio range C , the ratio deviation is: ; If the minimum value of the pre-optimization adjustment ratio range A is greater than the maximum value of the continuous casting process parameter ratio range , the ratio deviation is: .

[0012] Further, the process of calculating the ratio deviation of the non-pre-optimization adjustment parameters is: Extracting the process parameter ratio after the non-pre-optimization adjustment parameter adjustment and summarizing it to obtain the non-pre-optimization adjustment ratio range B= ; If the maximum value of the non-pre-optimization adjustment ratio range B is less than the minimum value of the continuous casting process parameter ratio range C , the ratio deviation is: ; If the minimum value of the non-pre-optimization adjustment ratio range B is greater than the maximum value of the continuous casting process parameter ratio range C , the ratio deviation is: .

[0013] Further, the process of determining the pre-optimization adjustment parameters and the non-pre-optimization adjustment parameters is: The maximum and minimum of the continuous casting process ratio range are subtracted to obtain a continuous casting process parameter span value; The ratio deviation and the continuous casting process parameter span value are proportionally calculated to obtain a continuous casting span performance value; The continuous casting span performance value of the pre-optimization adjustment parameter and the pre-optimization adjustment value are additively processed; The continuous casting span performance value of the non-pre-optimization adjustment parameter and the pre-optimization adjustment value are additively processed; The process parameter corresponding to the one with a larger additively processed result is selected as the optimization adjustment parameter, and the process parameter corresponding to the one with a smaller additively processed result is selected as the non-optimization adjustment parameter.

[0014] Further, the process of finally adjusting the process parameter ratio of the current converter process is: The optimization adjustment parameter is adjusted, the non-optimization adjustment parameter is kept unchanged, and the process parameter ratio after adjustment is calculated; If the process parameter ratio is within the continuous casting process ratio range, the final adjustment is stopped; If the process parameter ratio is not within the continuous casting process ratio range, the non-optimization adjustment parameter is additionally fine-tuned; The non-optimization adjustment parameter is adjusted so that the process parameter ratio after final adjustment is within the continuous casting process ratio range.

[0015] Based on a tinplate production state data analysis system, characterized in that: The qualified determination module determines the qualified of the converter process through the process parameter ratio of the current converter process; The priority determination module determines the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter by analyzing the fluctuation of the process parameters in the production cycle if the converter process is unqualified; The pre-adjustment verification module performs pre-adjustment based on the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter, and judges whether the process parameter ratio of the current converter process after adjustment meets the continuous casting process; The priority final determination module calculates the ratio deviation of the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter according to the adjustment ratio range of the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter, and determines the optimization adjustment parameter and the non-optimization adjustment parameter in combination with the pre-optimization adjustment value if the process parameter ratio of the current converter process after adjustment does not meet the continuous casting process; The final adjustment module finally adjusts the process parameter ratio of the current converter process based on the optimization adjustment parameter and the non-optimization adjustment parameter.

[0016] The beneficial effects of the present application are: The application locks the pre-optimization adjustment parameter with greater imbalance influence through fluctuation analysis, pre-optimization adjustment is made to quickly make the process parameter ratio meet the converter standard, and then it is verified whether the ratio is suitable for the continuous casting range, if not, the optimization adjustment parameter is further determined to accurately narrow the gap with the continuous casting standard, and ensure that the final adjusted ratio not only meets the converter process requirements, but also deeply meets the special requirements of the continuous casting process on the slag fluidity and solidification characteristics, thereby avoiding problems such as slag inclusion and skin cracking of the continuous casting billet caused by insufficient ratio adaptability, and improving the qualified rate of the continuous casting billet. BRIEF DESCRIPTION OF DRAWINGS

[0017] The application will be further described below in combination with the drawings.

[0018] Figure 1 is a structural schematic diagram of a tinplate production state data analysis method of the application; Figure 2 is a step flow schematic diagram of a tinplate production state data analysis method in the application; Figure 3 is a system block diagram of a tinplate production state data analysis system in the application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the application will be clearly and completely described below in combination with the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0020] Please refer to Figure 1 - Figure 2 The application is a tinplate production state data analysis method, which comprises the following steps: The tinplate production state data analysis method mainly analyzes the production state data in the production process of the tinplate steel base plate, and the main process flow is: converter smelting (converter process) → continuous casting pouring (continuous casting process) → hot rolling, pickling and cold rolling process → annealing, electroplating tin, passivation and refining process.

[0021] Step 1: Perform converter process qualification by the process parameter ratio of the current converter process. In step 1, the process parameters include: CaO content ratio in the slag and content ratio, and the process parameter ratio is the ratio between the CaO content ratio and the content ratio. It should be noted that the current converter process parameter acquisition method is: collecting the current converter process slag sample through the molten steel slag sampling device, and obtaining the current CaO actual content ratio and the current actual content ratio by X-ray fluorescence spectrometer (XRF) detection on the slag sample. In step one, the process of eligibility determination is: Compare the process parameter ratio with the converter process ratio range; If the process parameter ratio is in the converter process ratio range, the converter process is qualified; If the process parameter ratio is not in the converter process ratio range, the converter process is unqualified; It should be noted that the converter process ratio range is set according to the production requirements of the steel enterprise process file; Step 2: If the converter process is unqualified, the process parameters in the production period are analyzed for fluctuation, the process parameter adjustment priority is determined and divided, and the pre-optimized adjustment parameters and non-pre-optimized adjustment parameters are obtained. It should be noted that the production period means the production period from the production time to the current production time point; In step two, the process parameters in the production period are analyzed for fluctuation to determine the process parameter adjustment priority, and the process is: Based on any process parameter; Obtain the process parameters at different production time points in the production period; Calculate the absolute deviation (absolute value of process parameter deviation) of the process parameters between adjacent production time points to obtain the parameter adjacent deviation; Based on multiple production time points, multiple parameter adjacent deviations exist, and mean value processing is performed to obtain the parameter adjacent deviation mean value; The parameter adjacent deviation mean value is proportional to the converter process parameter span value to obtain the converter span performance value; The converter process parameter span value is the difference between the maximum and minimum values of the process parameter standard range, for example, the CaO content ratio in process production, the process parameter standard range is [f1-f2], and the converter process parameter span value is f2-f1. The parameter adjacent deviation is proportional to the converter process parameter span value to obtain the span ratio between multiple adjacent production time points, and the span ratio sequence is integrated; Calculate the coefficient of variation of the span ratio sequence to obtain the span fluctuation value of the process parameter; The converter span performance value and the span fluctuation value are added to obtain the pre-optimized adjustment value of the process parameter; It can be understood that the physical meaning reflected by the pre-optimization adjustment value of the process parameter is that the pre-optimization adjustment value is calculated by the converter span performance value and the span fluctuation value, the converter span performance value reflects the average amplitude of the change of the process parameter in the production cycle, and the span fluctuation value reflects the volatility of the change amplitude of the process parameter in the production cycle, therefore, if the average amplitude of the change of the process parameter is large, it means that the proportion of the process parameter is easy to be unbalanced, if the volatility of the change amplitude is large, the proportion imbalance is more difficult to predict and control, therefore, combined with the physical meaning of the two indexes and the core requirement of the converter process, which is to prioritize solving the unstable and large-impact process parameters, the sum of the two indexes is selected as the pre-optimization adjustment value of the process parameter; In step two, the process of dividing the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter is: The process parameter corresponding to the large pre-optimization adjustment value is selected as the pre-optimization adjustment parameter, and the process parameter corresponding to the small pre-optimization adjustment value is selected as the non-pre-optimization adjustment parameter; For example, the pre-optimization adjustment value of CaO is greater than The pre-optimization adjustment value of CaO is greater than Therefore, CaO is the pre-optimization adjustment parameter, and it should be noted that, in the process of production, the content of the material changes randomly with the production, therefore, the volatility or change amplitude between CaO and The adjustment priority of CaO and It should be noted that the beneficial effects of dividing the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter are: Beneficial effect one: by focusing on the pre-optimization adjustment parameter with large average amplitude of change and large volatility of change amplitude, the core source of the process proportion imbalance can be prioritized for control, reducing invalid intervention on low fluctuation parameters, and improving the efficiency and pertinence of the pre-adjustment of the converter process; Beneficial effect two: providing clear operation priority for subsequent pre-adjustment, avoiding secondary fluctuation of the process parameter caused by blind adjustment, and ensuring that the adjustment process meets the process optimization logic of solving key contradictions first, and meets the verification requirements of the continuous casting process; Step three: based on the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter, the process parameter proportion of the current converter process is pre-adjusted, and it is judged whether the process parameter proportion of the current converter process after adjustment meets the continuous casting process; In step three, the process of pre-adjusting the process parameter of the current converter process is: The pre-optimization adjustment parameter is adjusted, and the non-pre-optimization adjustment parameter remains unchanged, so that the process parameter proportion after adjustment is within the range of the converter process proportion; In step three, the process of judging whether the process parameter proportion of the current converter process after adjustment meets the continuous casting process is: Extract the proportions of process parameters after pre-optimization and compare them with the proportion range of continuous casting process parameters: 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; 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. 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: 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; 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. 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 CaO is a non-pre-optimized parameter; 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. 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. 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: 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). 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). Based on the pre-optimization adjustment ratio range A= : Calculate the pre-optimization adjustment ratio range A and the continuous casting process ratio range C = The proportional deviation between them; The methods for calculating the proportional deviation include: 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: ; Based on the non-optimized adjustment ratio range B= : Calculate the proportional deviation between the non-optimal adjustment range B and the continuous casting process proportional range C; The methods for calculating the proportional deviation include: 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: ; 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. It should be noted that the beneficial effect of calculating the proportional deviation is that: 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. 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; In step four, the process of determining the optimal and non-optimal adjustment parameters is as follows: 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; The pre-optimization adjustment parameter's continuous casting span performance value and pre-optimization adjustment value are subjected to addition processing; The non-pre-optimization adjustment parameter's continuous casting span performance value and pre-optimization adjustment value are subjected to addition processing; The process parameter corresponding to the one with a larger addition processing result is selected as the optimization adjustment parameter, and the process parameter corresponding to the one with a smaller addition processing result is selected as the non-optimization adjustment parameter; Step five: based on the optimization adjustment parameter and the non-optimization adjustment parameter, the process parameter proportion of the current converter process is finally adjusted; The optimization adjustment parameter is adjusted, the non-optimization adjustment parameter is kept unchanged, and the process parameter proportion after the adjustment is calculated; If the process parameter proportion is within the continuous casting process proportion range, the final adjustment is stopped; If the process parameter proportion is not within the continuous casting process proportion range, the non-optimization adjustment parameter is additionally fine-tuned; The non-optimization adjustment parameter is adjusted (the optimization adjustment parameter keeps the limit value unchanged), so that the process parameter proportion after the final adjustment is within the continuous casting process proportion range; If the process parameter proportion is still not within the continuous casting process proportion range after the additional non-optimization adjustment parameter fine-tuning is completed, the process parameter proportion after the non-optimization adjustment parameter fine-tuning is completed is ensured to be closest to the continuous casting process proportion range; It needs to be pointed out that the adjustment mode of pre-adjustment and final adjustment can be: adding lime to increase the CaO content proportion, adding acidic auxiliary materials (such as ) to reduce the CaO content proportion; adding pure aluminum wire to increase the content proportion, and adding low magnesium auxiliary materials (such as MgO) to reduce the content proportion; The working principle of the present application is: through the process parameter proportion of the current converter process, the converter process eligibility is determined, if the converter process is unqualified, through the process parameters in the production period, the fluctuation is analyzed, the process parameter adjustment priority is determined and divided, the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter are obtained, based on the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter, the process parameter proportion of the current converter process is pre-adjusted, and it is judged whether the process parameter proportion of the current converter process after adjustment meets the continuous casting process, if the process parameter proportion of the current converter process after adjustment does not meet the continuous casting process, according to the adjustment proportion range that the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter can reach within the converter process proportion range, the proportion deviation of the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter is calculated, and the pre-optimization adjustment value of the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter is combined to determine the optimization adjustment parameter and the non-optimization adjustment parameter, based on the optimization adjustment parameter and the non-optimization adjustment parameter, the process parameter proportion of the current converter process is finally adjusted.

[0022] Embodiment 2: Please refer to Figure 3 As shown in the embodiment of the present application, the tinplate production state data analysis system comprises: The qualified determination module determines the qualification of the converter process by the process parameter ratio of the current converter process.

[0023] The execution process: by calculating the process parameter ratio of the current converter process and comparing it with the converter process ratio range, it is determined whether the converter process is qualified or unqualified. The priority determination module: if the converter process is unqualified, it analyzes the fluctuation of the process parameters in the production cycle to determine the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter.

[0024] The execution process: obtain the process parameters at different time points in the production cycle, calculate the absolute deviation of adjacent parameters and average them, combine the span value of the converter process parameters to calculate the span performance value, compare each adjacent deviation with the span value to get the span ratio sequence, calculate the coefficient of variation to get the span fluctuation value, and sum the two to get the pre-optimization adjustment value. According to the value size, the pre-optimization adjustment parameter (large value) and the non-pre-optimization adjustment parameter (small value) are divided. The pre-adjustment verification module: based on the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter, it is adjusted and it is judged whether the process parameter ratio of the current converter process after adjustment meets the continuous casting process.

[0025] The execution process: preferentially adjust the pre-optimization adjustment parameter (the non-pre-optimization adjustment parameter remains unchanged) to make the process parameter ratio within the converter process range, and extract the adjusted process parameter ratio and compare it with the continuous casting process ratio range: if it meets the requirement, the verification is passed; if it does not meet the requirement, adjust the non-pre-optimization adjustment parameter (the pre-optimization adjustment parameter remains unchanged), if it meets the requirement, exchange the priority of the two, if it does not meet the requirement, it is determined that it does not meet the continuous casting process. The priority final determination module: if it does not meet the requirement, according to the adjustment ratio range of the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter, calculate the ratio deviation of the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter, and combine the pre-optimization adjustment value to determine the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter.

[0026] The execution process: extract the adjustment ratio range (A, B) of the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter, respectively calculate the ratio deviation with the continuous casting process range (C), sum the deviation and the corresponding pre-optimization adjustment value respectively, and determine the pre-optimization adjustment parameter (result large) and the non-pre-optimization adjustment parameter (result small) according to the result size. The final adjustment module: based on the pre-optimization adjustment parameter and the non-pre-optimization adjustment parameter, it performs final adjustment on the process parameter ratio of the current converter process.

[0027] Execution process: adjust the optimal adjustment parameter (non-optimal adjustment parameter remains unchanged), calculate the adjusted process parameter ratio, stop adjusting if it meets the continuous casting process ratio range, otherwise, fine-tune the non-optimal adjustment parameter (the optimal adjustment parameter remains the limit value) to make the process parameter ratio into the continuous casting process ratio range, and still not meet the requirement to ensure close to the continuous casting process ratio range.

[0028] The above has described one embodiment of the present application in detail, but the content described is only the preferred embodiment of the present application, and cannot be considered to limit the implementation range of the present application. Any equivalent changes and improvements made according to the scope of the present application should still belong to the scope of the present application.

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; 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 in the slag and... Content percentage; The process parameter ratio is the proportion of CaO content and The ratio between the percentages of 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 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.

4. The method for analyzing tinplate production status data according to claim 3, characterized in that: 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; 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.

5. 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.

6. 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: .

7. The method for analyzing tinplate production status data according to claim 6, 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: .

8. The method for analyzing tinplate production status data according to claim 6, 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.

9. 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.

10. 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; 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.

Images