A method for assisting rolling control system based on product contract information

Abstract

A method for assisting a rolling control system based on product contract information comprises: S1: setting an intermediate data analysis system independent of the computers at all levels of rolling in a form that can interact with the computers at all levels of rolling; S2: forming data information reading for the computers at all levels of rolling by setting up an intermediate data analysis system independent of the computers at all levels; S3: the intermediate data analysis system establishes corresponding data analysis according to the read data information, and forms real-time quantitative optimization of the rolling control model in L2 according to the data analysis results; a method for assisting a rolling control system based on product contract information of the present invention supports the adaptability setting of the rolling control model of L2 to different steel plate quality requirements through the establishment of the intermediate data analysis system and the establishment of corresponding operation steps; it can form a reinforcement for the descaling pass parameters and pass reduction parameters in the original configuration table of L2, so that the rolling results more accurately respond to the different special needs of different users.

Description

Technical Field

[0001] The invention belongs to the technical field of hot rolling control, and in particular relates to a method for assisting a rolling control system based on product contract information. Background Art

[0002] Initially, when computer technology was relatively backward and rolling theory was imperfect, manual experience was widely used. With the continuous development and improvement of computer technology, rolling theory, rolling equipment, and testing equipment, rolling control systems have become more sophisticated. Rolling control systems can generally be divided into two categories. The first category focuses on controlling the structural movement of rolling equipment. This type of control system relies on interconnectivity between underlying hardware and utilizes PLCs to control mechanical movement and optimize speed control and press accuracy. The second category focuses on information processing and press schedule calculations. This type of control system primarily relies on establishing temperature, dimensional, mechanical, and tracking models within the computer system to construct a setting system for the rolling process.

[0003] The hot rolling process is a complex high-temperature metal deformation process. It involves many factors such as temperature, deformation, equipment management, detection system, tracking system, rolling theory, etc. The system modules generally cover all of the above processes. General hot rolling production line control systems have L1-L2 level systems, and companies with good informatization will have L1-L2-L3 and above systems. Among them, the L1 level system is the bottom equipment automation control system, the L2 level system is the control system for rolling pressure load distribution, and the L3 and above systems are material information management systems (including contract information and material design). In terms of organizational form, the L3 level system notifies the L2 system of the information, size, steel type and control temperature parameters of the slab and rolled plate or coil. The L2 level system sets data guidance for each processing process through model calculation and sends instructions to the L1 system. The L1 level system takes actual actions according to the instructions.

[0004] The existing model logic was very mature, with clear information flow and good versatility. However, this architecture was limited by the underdeveloped computer technology and incomplete model research at the time. L3 and above systems were unable to fully transmit the detailed information required by steel contracts to L2 systems. L2 systems only performed model calculations related to hot rolling to meet the most basic production requirements. This model could not fully cover the specific requirements of products, requiring process technicians to develop specialized intervention logic based on product characteristics. For example, if a product required high surface cleanliness, technicians would specify the operational requirements, and operators would then add descaling passes during the rolling process to ensure surface finishes were met.

[0005] If we carry out system transformation now and transfer more information from L3 and higher-level systems to L2 systems, the transformation cost will be high and there is a risk of affecting the safe operation of the existing system.

[0006] The invention application with application number: 201310682805.4 discloses "a variable acceleration rolling control system and method for a roughing mill", which includes a predicted rolling force calculation module, a load judgment module, a rolling force comparison module and a rolling mill acceleration adjustment module; the predicted rolling force calculation module calculates the predicted rolling force data of the rolled piece; the load judgment module judges whether the roughing mill is loaded and transmits the signal to the rolling mill acceleration adjustment module; the rolling force comparison module receives the predicted rolling force data calculated by the predicted rolling force calculation module and compares it with a preset threshold value of the rolling force data, and transmits the comparison result to the rolling mill acceleration adjustment module; the rolling mill acceleration adjustment module adjusts the maximum acceleration of the rolling mill according to the received signal of whether the roughing mill is loaded and the result of comparing the predicted rolling force data of the rolled piece with the preset threshold value of the rolling force data.

[0007] The invention application with application number: 200410100419.0 discloses "a design of a comprehensive optimization control system for a heating furnace in a hot rolling process and its control method", which feeds back rolling production information such as the rolling force and temperature on one side of the heating furnace and the rough rolling unit to the heating furnace side, uses a furnace temperature pre-setting compensation module to dynamically modify the furnace temperature setting value, and combines the optimization control strategy and control algorithm to achieve comprehensive optimization control of the billet heating process.

[0008] The invention application with application number: 201510770173.6 discloses "a strip rolling control method and rolling control system", including: calling the first target flatness curve for the first rolling pass, wherein the first target flatness curve is a double M shape formed based on a first multi-power equation, and the values ​​of the power coefficients of the first multi-power equation are all within the range of 0 to 45; after N intermediate rolling passes, calling the second target flatness curve for the finished product rolling pass, the second target flatness curve is a first double-sided wave shape formed based on a second multi-power equation, and the values ​​of the power coefficients of the second multi-power equation are all within the range of 0 to 45.

[0009] The invention application with application number: 201310309768.2 discloses "a method for setting and controlling rolling force at the start of a single stand", comprising: before rolling is started, when the rollers are pressed down, the process computer calculates the theoretical rolling force and the rolling force P1; after rolling is started to the target thickness and the contact arc length between the rollers and the rolled piece becomes shorter, the process computer calculates the theoretical rolling force and the rolling force P2; when the rolling start parameters are preset and timed, the process computer sends two rolling forces P1 and P2 to the control computer, and the control computer receives these two rolling forces for control; after starting, when the rolling force drops to P2, the control computer controls it according to the P2 rolling force to keep the rolling force unchanged at P2; after rolling for a certain period of time, when the rolling conditions meet or do not meet the AGC control conditions of the thickness control system, the rolling force is controlled or kept unchanged at P2 according to the requirements of the thickness control system. Summary of the Invention

[0010] To solve the above problems, the present invention provides a method for assisting a rolling control system based on product contract information, and its technical solution is as follows:

[0011] A method for assisting a rolling control system based on product contract information, characterized by comprising the following steps:

[0012] S1: An intermediate data analysis system is set up in a form that is interactive with the computers at all levels of rolling mill;

[0013] S2: By setting up an intermediate data analysis system independent of the computers at all levels, data information of the computers at all levels of rolling can be read;

[0014] S3: The intermediate data analysis system establishes corresponding data analysis based on the read data information, and forms real-time quantitative optimization of the rolling control model in L2 based on the data analysis results;

[0015] The method of assisting the rolling control system based on product contract information supports the adaptability setting of the rolling control model in L2 to different steel plate quality requirements through the establishment of the above-mentioned intermediate data analysis system and the establishment of corresponding operation steps.

[0016] A method for assisting a rolling control system based on product contract information according to the present invention is characterized in that:

[0017] The different steel plate quality requirements include: different surface quality requirements of steel plates and different mechanical property requirements of steel plates;

[0018] The support for the adaptability setting of the rolling control model in L2 to different steel plate quality requirements is specifically: providing specific configuration parameters formed by the data analysis results of the intermediate data analysis system, and completing quantitative optimization support for the L2 rolling control model parameters.

[0019] A method for assisting a rolling control system based on product contract information according to the present invention is characterized in that:

[0020] The establishment of corresponding data analysis described in step S3 is specifically to establish data analysis in three dimensions: high surface quality requirements, Z-direction performance requirements, and DWTT performance requirements.

[0021] A method for assisting a rolling control system based on product contract information according to the present invention is characterized in that:

[0022] The data analysis results of the intermediate data analysis system provide the dephosphorization pass parameters and pass reduction parameters of the rolling process.

[0023] A method for assisting a rolling control system based on product contract information according to the present invention is characterized in that:

[0024] The specific steps for data analysis with high surface quality requirements are as follows:

[0025] S11: Based on the read L3 related command history data, performance index data, related quality data; read L4 related contract history information data; read L2 historical data; using the one-to-one search primary key of slab number and steel plate number, carry out weighted evaluation calculation based on the four dimensions of yield strength, tensile strength, elongation, and impact toughness for the same steel grade;

[0026] S12: determining the stability of the steel plate performance according to the weighted evaluation calculation value, and screening out data information with a determination result of stable performance;

[0027] S13: combining the data information of the steel plates with stable performance and the data information of the steel plates with quality defects to screen out the steel plates with stable performance and no surface quality defects;

[0028] S14: Establishing a descaling pass analysis based on the slab thickness for the production data of the screened steel plates with stable performance and no surface quality defects, and forming a setting for the slab rough rolling descaling pass and the finishing rolling descaling pass based on the analysis.

[0029] A method for assisting a rolling control system based on product contract information according to the present invention is characterized in that:

[0030] The specific steps for data analysis of Z-axis performance requirements are as follows:

[0031] S21: Based on the read L3 related command history data, Z-axis performance index data, and related quality data; the read L4 related contract history information data; and the read L2 historical data, a one-to-one search primary key of slab number and steel plate number is used to establish a sorting of each section shrinkage rate under the three-dimensional constraints of steel grade, controlled rolling temperature thickness, and steel plate width;

[0032] S22: extracting data according to a set ratio for the corresponding cross-sectional shrinkage under the three-dimensional constraints of each steel grade, controlled rolling temperature thickness, and steel plate width, and setting the relevant pass reduction rate of the finishing mill based on the extracted data.

[0033] A method for assisting a rolling control system based on product contract information according to the present invention is characterized in that:

[0034] The data analysis of DWTT performance requirements is as follows: based on the relevant command history data and relevant quality data read from L3; the relevant contract history information data read from L4; and the historical data read from L2; a one-to-one retrieval primary key of slab number and steel plate number is used to form the setting of the pass reduction in the rough rolling stage under the two dimensions of steel grade and slab thickness based on DWTT performance.

[0035] A method for assisting a rolling control system based on product contract information according to the present invention is characterized in that:

[0036] High surface quality requirements, Z-direction performance requirements, and DWTT performance requirements are classified based on unified markings. According to the respective data analysis results and combined with the feature extraction of the contract requirement information, a correspondence is formed between the slab number and the corresponding marking category and the setting parameters corresponding to the category, completing the establishment of the special information configuration parameter table.

[0037] A method for assisting a rolling control system based on product contract information according to the present invention is characterized in that:

[0038] The intermediate data analysis system indexes whether it matches the relevant configuration parameters of the slab to be produced. If the index result is a match, the corresponding configuration table is triggered to be read; otherwise, it is not triggered.

[0039] L2 reads the configuration table of the intermediate data analysis system that has been triggered into a readable state and sets it according to the following steps:

[0040] The parameters of the original configuration table and the special information configuration parameter table read by the intermediate data analysis system are compared one by one. If the parameters in the original configuration table are missing in the special information configuration parameter table, the parameters in the original configuration table are used for setting; if the parameters in the original configuration table are not missing in the special information configuration parameter table, the parameters in the special information configuration parameter table are used for setting.

[0041] A method for assisting a rolling control system based on product contract information according to the present invention is characterized in that:

[0042] The intermediate data analysis system monitors the input data in real time. When it monitors that new data is input, it updates the data based on the new data for analysis and output. When it monitors that no new data is input, it updates the data based on the set period for analysis and output.

[0043] A method for assisting a rolling control system based on product contract information according to the present invention is characterized in that:

[0044] The weighted evaluation calculation based on the four dimensions of yield strength, tensile strength, elongation, and impact toughness for the same steel grade described in step S11 is specifically as follows:

[0045] Establishing separate scores for yield strength and tensile strength based on the strength performance requirement range, wherein the scores are scored in a decreasing manner with the median distribution point or median distribution range within the strength performance requirement range being the high score and the scores being decreased towards the lower and upper limits of the range;

[0046] The elongation and impact toughness are determined by their respective ratios with the lower limit being 0 and the historical maximum value being 100%, and their respective scores are determined based on the ratios;

[0047] Set the respective weight coefficients of yield strength, tensile strength, elongation and impact toughness according to the process settings;

[0048] The weighted sum is performed according to the respective weight coefficients and respective scores to complete the weighted evaluation calculation.

[0049] A method for assisting a rolling control system based on product contract information according to the present invention is characterized in that:

[0050] The ratio of each descaling pass corresponding to the steel plate to the total descaling number of the steel plate is calculated, and the rough rolling descaling pass and the finishing rolling descaling pass are set according to the calculation results.

[0051] A method for assisting a rolling control system based on product contract information according to the present invention is characterized in that:

[0052] For rough rolling descaling: screen the individual ratio or the sum of the ratios of adjacent passes according to different set values. When the individual ratio value is greater than its corresponding set value or the sum of the ratios of adjacent passes is greater than its corresponding set value, set the descaling pass.

[0053] The present invention provides a method for assisting a rolling control system based on product contract information, firstly, by establishing an intermediate data analysis system independent of computers at all levels, thereby avoiding the complexity and high cost of modifying the existing computer structure; secondly, establishing a quantitative optimization of steel plate quality from the two dimensions of surface quality and mechanical properties, and forming support for the quantitative optimization of the current slab to be produced by analyzing past historical data through the intermediate data analysis system; and forming adaptation to surface quality optimization and mechanical property optimization through the descaling passes and pass reduction; in this way, the intermediate data analysis system points to the corresponding data analysis and data support for the quantitative optimization of the descaling passes and pass reduction; accordingly, corresponding data support is established through data analysis of the three dimensions of high surface quality requirements, Z-direction performance requirements, and DWTT performance requirements, completing the reinforcement of the descaling pass parameters and pass reduction parameters in the original L2 configuration table, so that the rolling results more accurately respond to the different special needs of different users. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a schematic diagram of the steps of the present invention;

[0055] Figure 2 Schematic diagram of the steps of data analysis for high surface quality requirements in the present invention;

[0056] Figure 3 Schematic diagram of the steps of data analysis for Z-direction performance requirements in the present invention;

[0057] Figure 4 Schematic diagram of the logical relationship in the embodiment of the present invention;

[0058] Figure 5 Schematic diagram of the overall implementation process in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] Hereinafter, a method for assisting a rolling control system based on product contract information of the present invention will be further described in detail with reference to the accompanying drawings and specific implementation methods.

[0060] like Figure 1 A method for assisting a rolling control system based on product contract information is shown, comprising the following steps:

[0061] S1: An intermediate data analysis system is set up in a form that is interactive with the computers at all levels of rolling mill;

[0062] S2: By setting up an intermediate data analysis system independent of the computers at all levels, data information of the computers at all levels of rolling can be read;

[0063] S3: The intermediate data analysis system establishes corresponding data analysis based on the read data information, and forms real-time quantitative optimization of the rolling control model in L2 based on the data analysis results;

[0064] The method of assisting the rolling control system based on product contract information supports the adaptability setting of the rolling control model in L2 to different steel plate quality requirements through the establishment of the above-mentioned intermediate data analysis system and the establishment of corresponding operation steps.

[0065] in,

[0066] The different steel plate quality requirements include: different surface quality requirements of steel plates and different mechanical property requirements of steel plates;

[0067] The support for the adaptability setting of the rolling control model in L2 to different steel plate quality requirements is specifically: providing specific configuration parameters formed by the data analysis results of the intermediate data analysis system, and completing quantitative optimization support for the L2 rolling control model parameters.

[0068] in,

[0069] The establishment of corresponding data analysis described in step S3 is specifically to establish data analysis in three dimensions: high surface quality requirements, Z-direction performance requirements, and DWTT performance requirements.

[0070] in,

[0071] The data analysis results of the intermediate data analysis system provide the dephosphorization pass parameters and pass reduction parameters of the rolling process.

[0072] in,

[0073] Data analysis with high surface quality requirements, such as Figure 2 The specific steps are as follows:

[0074] S11: Based on the read L3 related command history data, performance index data, related quality data; read L4 related contract history information data; read L2 historical data; using the one-to-one search primary key of slab number and steel plate number, carry out weighted evaluation calculation based on the four dimensions of yield strength, tensile strength, elongation, and impact toughness for the same steel grade;

[0075] S12: determining the stability of the steel plate performance according to the weighted evaluation calculation value, and screening out data information with a determination result of stable performance;

[0076] S13: combining the data information of the steel plates with stable performance and the data information of the steel plates with quality defects to screen out the steel plates with stable performance and no surface quality defects;

[0077] S14: Establishing a descaling pass analysis based on the slab thickness for the production data of the screened steel plates with stable performance and no surface quality defects, and forming a setting for the slab rough rolling descaling pass and the finishing rolling descaling pass based on the analysis.

[0078] in,

[0079] Data analysis of Z-direction performance requirements, such as Figure 3 The specific steps are as follows:

[0080] S21: Based on the read L3 related command history data, Z-axis performance index data, and related quality data; the read L4 related contract history information data; and the read L2 historical data, a one-to-one search primary key of slab number and steel plate number is used to establish a sorting of each section shrinkage rate under the three-dimensional constraints of steel grade, controlled rolling temperature thickness, and steel plate width;

[0081] S22: extracting data according to a set ratio for the corresponding cross-sectional shrinkage under the three-dimensional constraints of each steel grade, controlled rolling temperature thickness, and steel plate width, and setting the relevant pass reduction rate of the finishing mill based on the extracted data.

[0082] in,

[0083] The data analysis of DWTT performance requirements is as follows: based on the relevant command history data and relevant quality data read from L3; the relevant contract history information data read from L4; and the historical data read from L2; a one-to-one retrieval primary key of slab number and steel plate number is used to form the setting of the pass reduction in the rough rolling stage under the two dimensions of steel grade and slab thickness based on DWTT performance.

[0084] in,

[0085] High surface quality requirements, Z-direction performance requirements, and DWTT performance requirements are classified based on unified markings. According to the respective data analysis results and combined with the feature extraction of the contract requirement information, a correspondence is formed between the slab number and the corresponding marking category and the setting parameters corresponding to the category, completing the establishment of the special information configuration parameter table.

[0086] in,

[0087] When specifically guiding the production of the slab to be produced, the intermediate data analysis system first performs an index to determine whether it matches the relevant configuration parameters of the current slab to be produced. If the index result is a match, the corresponding configuration table is triggered to be read; otherwise, it is not triggered.

[0088] Next, L2 reads the configuration table of the intermediate data analysis system that has been triggered into a readable state and sets it according to the following steps:

[0089] The parameters of the original configuration table and the special information configuration parameter table read by the intermediate data analysis system are compared one by one. If the parameters in the original configuration table are missing in the special information configuration parameter table, the parameters in the original configuration table are used for setting; if the parameters in the original configuration table are not missing in the special information configuration parameter table, the parameters in the special information configuration parameter table are used for setting.

[0090] in,

[0091] The intermediate data analysis system monitors the input data in real time. When it monitors that new data is input, it updates the data based on the new data for analysis and output. When it monitors that no new data is input, it updates the data based on the set period for analysis and output.

[0092] in,

[0093] The weighted evaluation calculation based on the four dimensions of yield strength, tensile strength, elongation, and impact toughness for the same steel grade described in step S11 is specifically as follows:

[0094] Establishing separate scores for yield strength and tensile strength based on the strength performance requirement range, wherein the scores are scored in a decreasing manner with the median distribution point or median distribution range within the strength performance requirement range being the high score and the scores being decreased towards the lower and upper limits of the range;

[0095] The elongation and impact toughness are determined by their respective ratios with the lower limit being 0 and the historical maximum value being 100%, and their respective scores are determined based on the ratios;

[0096] Set the respective weight coefficients of yield strength, tensile strength, elongation and impact toughness according to the process settings;

[0097] The weighted sum is performed according to the respective weight coefficients and respective scores to complete the weighted evaluation calculation.

[0098] in,

[0099] The ratio of each descaling pass corresponding to the steel plate to the total descaling number of the steel plate is calculated, and the rough rolling descaling pass and the finishing rolling descaling pass are set according to the calculation results.

[0100] in,

[0101] For rough rolling descaling: screen the individual ratio or the sum of the ratios of adjacent passes according to different set values. When the individual ratio value is greater than its corresponding set value or the sum of the ratios of adjacent passes is greater than its corresponding set value, set the descaling pass.

[0102] Working process, principle and implementation example

[0103] In this embodiment, by establishing an intermediate data analysis system (i.e. Figure 4 、 Figure 5 The L2 system optimizes the settings based on the information characteristics to implement strategies that are helpful to product quality, so that the L2 control system can adjust the rolling process according to the special information required by the contract, thereby achieving a more intelligent rolling control process.

[0104] The specific principles and processes are as follows:

[0105] S1. Establish an intermediate data analysis system to achieve information exchange with L2 systems, L3 systems and higher-level systems;

[0106] By establishing an interactive system, the system can transmit data with the L2 system and obtain contract information data from the L3 system and higher systems. The intermediate data analysis system can establish a small data set to store contract information data from the L3 system and higher systems, such as Figure 4 shown.

[0107] The intermediate data analysis system analyzes the data transmitted by systems at all levels to obtain beneficial characteristics of stable data, and uses the beneficial characteristics to guide the rolling of new steel plates to improve quality. The data includes contract information data, command information data, heating and rolling process data, quality and performance data.

[0108] S2. Intermediate system historical data integration and data analysis

[0109] The intermediate data analysis system initially acquires raw production data, including historical steel plate production command requirements, performance information, and process quality information from the L3 system. It also collects production process data from the L2 system, including detailed information on heating and rolling. Based on the steel plate characteristics, it selects fields that are highly relevant to the rolling process: high surface quality requirements, Z-axis performance inspection requirements, and DWTT inspection requirements. High surface quality requirements are organized into performance stability and logic libraries; Z-axis performance and DWTT requirements are organized into logic libraries based on performance quality.

[0110] S2.1, High surface quality requirement logic library

[0111] Category field selection, L3 command history data: steelmaking mark (chemical composition mark), specifications (slab thickness, steel plate thickness, width, length), performance index data; L4 contract history information: user, high surface requirement mark; L2 historical data: heating temperature, heating time, rolling reduction, descaling pass number; L3 quality data: quality defect data, performance data.

[0112] Using slab and plate numbers as one-to-one search keys, we screen the performance of products with high surface requirements. We then categorize them by user and steel grade to guide the construction of a logical library. This construction prioritizes stable performance. Steel grade represents the strength range of tensile properties, and the same steel grade is not differentiated between users; instead, the library is constructed based on that grade. For the same steel grade with user information, we perform a summary analysis of performance data based on yield strength, tensile strength, elongation, and impact toughness testing. Based on this summary analysis, we assign a comprehensive score to each steel plate or batch (a specific plate performance represents a batch of plates).

[0113]

[0114]

[0115] The scoring method is defined as follows: the upper and lower limits of strength performance are defined as 100%. Within the performance requirement range, the closer to the median, the higher the score, and the lower the score on both sides, the lower the score, and Fy and Ft are obtained. The elongation and impact toughness are scored according to the ratio with the lower limit of 0 and the historical maximum value of 100%, and Fe and Fi are obtained. The weights are set according to the steel grade, and the weight coefficients Qy, Qt, Qe and Qi are relatively fixed. The comprehensive performance score result = Fy*Qy+Ft*Qt+Fe*Qe+Fi*Qi. The scoring results are classified according to the Grade value, and the steel plates or batches with scores higher than the set value SFl are identified as steel plates with stable performance. The stable performance steel plates are linked with the steel plate quality defect data, and the steel plates with surface defects are excluded. The production data of steel plates with stable performance and no surface quality defects are analyzed: the descaling passes are distributed according to the slab thickness in the rough rolling stage, and the ratio is made according to the total descaling number of a certain descaling pass of the steel plates contained. If the ratio exceeds the set value Rate1, or the sum of the ratios of adjacent pass numbers exceeds the set value Rate2, it is assumed to be a descaling pass by default; the finishing passes are the 1st and 1+nth passes as the default descaling passes (the value of n is determined by experience and distribution), and these pass information are integrated with the steel grade information and slab thickness information to write the database to form a logical library.

[0116] Steel Grade Slab thickness Rough rolling pass number Finishing pass number Grade SThick 1，m…… 1,n

[0117] S2.2, Z-axis performance requirement logic library

[0118] Category field selection, L3 command history data: steelmaking mark (chemical composition mark), specifications (controlled rolling waiting thickness, steel plate thickness, width and length), Z-direction performance index data; L4 contract history information: user, Z-direction performance requirement mark; L2 historical data: heating temperature, heating time, rolling reduction, descaling pass number; L3 quality data: Z-direction performance data results.

[0119] Using slab and plate numbers as one-to-one search keys, products are screened based on Z-axis performance, guiding the construction of a logical library. Stable Z-axis performance is the primary factor, and the higher the reduction of area (Zr), the better. Slabs are categorized by steel grade (similar strength levels are combined using the tapping mark), controlled rolling thickness, and plate width. In this example, the first 60% of Zr data is used to define the reduction ratio for the first three passes of the finishing mill (the number of passes can be adjusted based on the actual relevant strength). The average of each pass within the one-sigma range is used as the logical library.

[0120]

[0121] S2.3, DWTT performance requirements logic library

[0122] Category field selection, L3 command history data: steelmaking mark (chemical composition mark), specifications (controlled rolling temperature thickness, steel plate thickness, width and length); L4 contract history information: user, DWTT performance requirement mark; L2 historical data: heating temperature, heating time, rolling reduction, descaling pass number; L3 quality data: DWTT data performance.

[0123] Using slab and plate numbers as one-to-one search keys, products are screened based on their DWTT performance, guiding the construction of a logical library. DWTT performance is the primary factor used to define steel grade and slab thickness. In this example, the maximum reduction during the roughing stage is set to 38mm.

[0124]

[0125] S3. The intermediate data analysis system links contract information, material information, and feature information

[0126] The intermediate data analysis system extracts features from the contract requirements and uses specific requirements, such as surface finish and Z-axis performance, as tags. These tags are then categorized according to specific rules, such as '0' for no special requirements, '1' for high surface finish requirements, '2' for products with Z-axis performance requirements, and '3' for products with DWTT requirements. The system extracts the strength level from the contract information and information such as slab thickness, controlled rolling temperature thickness, and plate width from the L3 material information. The intermediate data analysis system links these tags with the logical library to form relational entries, i.e., the slab number and its corresponding special tags and logical library bin information.

[0127] S4, the intermediate data analysis system passes the special information corresponding to the material information to the L2 system

[0128] The intermediate data analysis system transmits the material information corresponding to the special information mark to the L2 system, such as material number, special mark and logical library classification information.

[0129] S5, L2 level system intelligence

[0130] The system configuration table is manually modified to supplement the system model and can be modified in real time. The configuration parameters mainly correspond to the setting of descaling passes and the setting of pass reduction.

[0131] 6. The control system is set according to the configuration plan

[0132] Based on the original calculation and value acquisition, the rolling control system gives priority to reading the configuration table. When the configuration table parameters are different from the calculation parameters, the configuration table parameter settings are adopted. Those not involved in the configuration table are still set according to the original model. During the specific reading, the intermediate data analysis system reads the current slab information to be produced in real time and matches it with the information in its own configuration table library. If the match is successful, the corresponding configuration table is triggered to be readable, otherwise it is not triggered, and then L2 completes the subsequent operations through reading.

[0133] The present invention provides a method for assisting a rolling control system based on product contract information, firstly, by establishing an intermediate data analysis system independent of computers at all levels, thereby avoiding the complexity and high cost of modifying the existing computer structure; secondly, establishing a quantitative optimization of steel plate quality from the two dimensions of surface quality and mechanical properties, and forming support for the quantitative optimization of the current slab to be produced by analyzing past historical data through the intermediate data analysis system; and forming adaptation to surface quality optimization and mechanical property optimization through the descaling passes and pass reduction; in this way, the intermediate data analysis system points to the corresponding data analysis and data support for the quantitative optimization of the descaling passes and pass reduction; accordingly, corresponding data support is established through data analysis of the three dimensions of high surface quality requirements, Z-direction performance requirements, and DWTT performance requirements, completing the reinforcement of the descaling pass parameters and pass reduction parameters in the original L2 configuration table, so that the rolling results more accurately respond to the different special needs of different users.

Claims

1. A method for assisting a rolling control system based on product contract information, characterized in that The steps include: S1: An intermediate data analysis system is set up in a form that is interactive with the computers at all levels of rolling mill; S2: By setting up an intermediate data analysis system independent of the computers at all levels, data information of the computers at all levels of rolling can be read; S3: The intermediate data analysis system establishes corresponding data analysis based on the read data information, and forms real-time quantitative optimization of the rolling control model in L2 based on the data analysis results; The method of assisting the rolling control system based on product contract information, through the establishment of the above-mentioned intermediate data analysis system and the establishment of corresponding operation steps, realizes the support of the adaptability setting of the rolling control model in L2 to different steel plate quality requirements; The different steel plate quality requirements include: different surface quality requirements of steel plates and different mechanical property requirements of steel plates; The support for the adaptability of the rolling control model in L2 to different steel plate quality requirements is specifically: providing specific configuration parameters formed by the data analysis results of the intermediate data analysis system, and completing the quantitative optimization support for the L2 rolling control model parameters; The establishment of corresponding data analysis in step S3 is specifically to establish data analysis in three dimensions: high surface quality requirements, Z-direction performance requirements, and DWTT performance requirements; The specific steps of data analysis for high surface quality requirements are as follows: S11: Based on the read L3 related command history data, performance index data, related quality data; read L4 related contract history information data; read L2 historical data; using the one-to-one search primary key of slab number and steel plate number, carry out weighted evaluation calculation based on the four dimensions of yield strength, tensile strength, elongation, and impact toughness for the same steel grade; S12: Determine the performance stability of the steel plate based on the weighted evaluation calculation value, and select data information with a determination result of stable performance; S13: integrating the data information of the steel plates with stable performance and the data information of the steel plates with quality defects to screen out the steel plates with stable performance and no surface quality defects; S14: Establishing a descaling pass analysis based on the slab thickness for the production data of the screened steel plates with stable performance and no surface quality defects, and forming a setting for the slab rough rolling descaling pass and the finishing rolling descaling pass based on the analysis.

2. The method of assisting a rolling control system based on product contract information according to claim 1, characterized in that: The data analysis results of the intermediate data analysis system provide the dephosphorization pass parameters and pass reduction parameters of the rolling process.

3. The method of assisting a rolling control system based on product contract information according to claim 1, characterized in that: The specific steps for data analysis of Z-axis performance requirements are as follows: S21: Based on the read L3 related command history data, Z-axis performance index data, and related quality data; the read L4 related contract history information data; and the read L2 historical data, a one-to-one search primary key of slab number and steel plate number is used to establish a sorting of each section shrinkage rate under the three-dimensional constraints of steel grade, controlled rolling temperature thickness, and steel plate width; S22: extracting data according to a set ratio for the corresponding cross-sectional shrinkage under the three-dimensional constraints of each steel grade, controlled rolling temperature thickness, and steel plate width, and setting the relevant pass reduction rate of the finishing mill based on the extracted data.

4. The method of assisting a rolling control system based on product contract information according to claim 1, characterized in that: The data analysis of DWTT performance requirements is as follows: based on the relevant command history data and relevant quality data read from L3; the relevant contract history information data read from L4; and the historical data read from L2; a one-to-one retrieval primary key of slab number and steel plate number is used to form the setting of the pass reduction in the rough rolling stage under the two dimensions of steel grade and slab thickness based on DWTT performance.

5. The method of assisting a rolling control system based on product contract information according to claim 1, characterized in that: High surface quality requirements, Z-direction performance requirements, and DWTT performance requirements are classified based on unified markings. According to the respective data analysis results and combined with the feature extraction of the contract requirement information, a correspondence is formed between the slab number and the corresponding marking category and the setting parameters corresponding to the category, completing the establishment of the special information configuration parameter table.

6. The method of assisting a rolling control system based on product contract information according to claim 5, characterized in that: The intermediate data analysis system indexes whether it matches the relevant configuration parameters of the slab to be produced. If the index result is a match, the corresponding configuration table is triggered to be read; otherwise, it is not triggered. L2 reads the configuration table of the intermediate data analysis system that has been triggered into a readable state and sets it according to the following steps: The parameters of the original configuration table and the special information configuration parameter table read by the intermediate data analysis system are compared one by one. If the parameters in the original configuration table are missing in the special information configuration parameter table, the parameters in the original configuration table are used for setting; if the parameters in the original configuration table are not missing in the special information configuration parameter table, the parameters in the special information configuration parameter table are used for setting.

7. The method of assisting a rolling control system based on product contract information according to claim 1, characterized in that: The intermediate data analysis system monitors the input data in real time. When it monitors that new data is input, it updates the data based on the new data for analysis and output. When it monitors that no new data is input, it updates the data based on the set period for analysis and output.

8. The method of assisting a rolling control system based on product contract information according to claim 1, characterized in that: The weighted evaluation calculation based on the four dimensions of yield strength, tensile strength, elongation, and impact toughness for the same steel grade described in step S11 is specifically as follows: Establishing separate scores for yield strength and tensile strength based on the strength performance requirement range, wherein the scores are scored in a decreasing manner with the median distribution point or median distribution range within the strength performance requirement range being the high score and the scores being decreased towards the lower and upper limits of the range; The elongation and impact toughness are determined by their respective ratios with the lower limit being 0 and the historical maximum value being 100%, and their respective scores are determined based on the ratios; Set the respective weight coefficients of yield strength, tensile strength, elongation and impact toughness according to the process settings; The weighted sum is performed according to the respective weight coefficients and respective scores to complete the weighted evaluation calculation.

9. The method of assisting a rolling control system based on product contract information according to claim 1, characterized in that: The ratio of each descaling pass corresponding to the steel plate to the total descaling number of the steel plate is calculated, and the rough rolling descaling pass and the finishing rolling descaling pass are set according to the calculation results.

10. The method of assisting a rolling control system based on product contract information according to claim 9, characterized in that: For rough rolling descaling: screen the individual ratio or the sum of the ratios of adjacent passes according to different set values. When the individual ratio value is greater than its corresponding set value or the sum of the ratios of adjacent passes is greater than its corresponding set value, set the descaling pass.

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