A method and system for controlling the roll forming of a container shell from low temperature thick steel plate

Abstract

The application relates to the technical field of metal processing, and particularly discloses a container cylinder low-temperature thick steel plate coiling forming control method and system, which comprises the following steps: obtaining application purposes, coiling requirement data, base material flaw detection data and coiling hard control data; collecting historical specification coiling data of multiple historical specifications, and determining historical coiling label data of each coiling label of each historical specification; determining specification reference data, a rolling bending number set, a rolling bending necessary value of each rolling bending number in the rolling bending number set, a rolling bending label, a specification number, control reference data and coiling control data of each requirement specification; and coiling a steel plate for each requirement specification. The application can realize quantitative optimization of control parameters, guarantee the coiling process to be in line with the working condition characteristics of the low-temperature thick steel plate, avoid the risk of large rework and waste of coiling, reduce parameter debugging cost and resource waste, and give consideration to the precision, safety and efficiency of coiling, so as to provide a systematic and scientific control path for container cylinder forming.

Description

Technical Field

[0001] This invention relates to the field of metal processing technology, and in particular to a method and system for controlling the low-temperature rolling and forming of thick steel plates for container bodies. Background Technology

[0002] In the early stages, the rolling of thick steel plates for container bodies relied heavily on manual experience. For example, the operation of four-roll plate rolling machines often depended on workers' past experience in adjusting parameters, lacking systematic data support. The forming accuracy was easily affected by human factors, especially for low-temperature thick steel plates, whose special material properties made traditional experience-based control insufficient to meet accuracy requirements. As equipment has developed towards larger scale and extreme working conditions, the requirements for the thickness and performance of low-temperature thick steel plates have continued to increase. Although research on the forming mechanism of four-roll plate rolling has been carried out, and mathematical and finite element models have been established to analyze the influence of rolling parameters, multi-dimensional historical rolling data and hard control indicators have not been effectively integrated. The optimization of rolling times and the matching degree of control parameters are insufficient. The rolling of thick steel plates still suffers from large quality fluctuations and low efficiency, making it difficult to adapt to the stability and accuracy requirements of low-temperature working conditions.

[0003] Therefore, this invention proposes a method and system for controlling the low-temperature rolling and forming of thick steel plates for container bodies. Summary of the Invention

[0004] This invention provides a method and system for controlling the low-temperature rolling forming of thick steel plates for container bodies. It involves acquiring application purpose and rolling requirement data, selecting the rolling substrate, obtaining substrate flaw detection data and rolling hardware control data, collecting historical rolling data for multiple historical specifications, determining historical rolling label data for each rolling label of each historical specification, and determining the specification reference data, rolling bend count set, necessary rolling values ​​for each rolling bend count in the rolling requirement data for each required specification, rolling label, specification count, control reference data, and rolling control data for each required specification. The system then performs steel plate rolling for each required specification. This allows for precise selection of specification reference data and rolling elements, enabling quantitative optimization of control parameters, ensuring the rolling process conforms to the working characteristics of low-temperature thick steel plates, avoiding the risk of large-scale rework and scrap, reducing parameter debugging costs and resource waste, and balancing the accuracy, safety, and efficiency of rolling. It provides a systematic and scientific control path for container body forming.

[0005] This invention provides a method for controlling the low-temperature rolling and forming of thick steel plates for container bodies, comprising:

[0006] S1: Obtain the application purpose and rolling requirements data for low-temperature thick steel plate rolling, select the rolling substrate, and obtain substrate flaw detection data and rolling hard control data;

[0007] S2: Collect historical roll data for multiple historical specifications, and determine the historical roll label data for each roll label for each historical specification based on the historical roll data for each historical specification.

[0008] S3: Based on the rolling hard control data and the historical rolling label data of each rolling label for each historical specification, determine the specification reference data, rolling bend count set, rolling bend necessary value for each rolling bend count in the rolling requirement data for each requirement specification, and rolling bend label.

[0009] S4: Based on the set of rolling bend counts for each requirement specification in the rolling requirement data and the rolling label for each rolling bend count in the rolling requirement set, determine the specification count, control reference data, and rolling control data for each requirement specification.

[0010] S5: Based on the rolling demand data, rolling substrate, substrate flaw detection data, and rolling control data, steel plates are rolled for each required specification.

[0011] Preferably, a method for controlling the low-temperature thick steel plate rolling forming of a container body includes obtaining application purpose and rolling requirement data for the low-temperature thick steel plate rolling forming, selecting the rolling substrate, and obtaining substrate flaw detection data and rolling hardware control data, including:

[0012] Obtain application purpose and rolling demand data for low-temperature thick steel plate rolling. The rolling demand data includes the required specifications of multiple low-temperature thick steel plates to be rolled and the required quantity of each specification. The required specifications include thickness, width and diameter.

[0013] The substrate to be rolled is selected based on the application purpose. Based on the application purpose and the substrate to be rolled, flaw detection data and rolling hard control data are obtained. The rolling hard control data includes multiple hard control parameters, the hard control range of each hard control parameter and the optimal hard control value.

[0014] Preferably, a method for controlling the low-temperature rolling forming of thick steel plates for container bodies involves collecting historical rolling data for multiple historical specifications, and determining historical rolling label data for each rolling label of each historical specification based on the historical rolling data for each historical specification, including:

[0015] Based on the application purpose, historical rolling data of multiple specifications of low-temperature thick steel plates were collected. The historical rolling data includes flaw detection labels of multiple historical steel plates and historical steel plate rolling data. The flaw detection labels include compliant and non-compliant. If the flaw detection label is compliant, the historical steel plate rolling data includes steel plate serial number, historical rolling data, rolling label, historical hard control performance data and steel plate performance value. The rolling label includes rolled, minor rework, major rework and scrap. The historical rolling data includes multiple roll bends, multiple control parameters for each roll bend and control values ​​for each control parameter. The historical hard control performance data includes multiple hard control parameters and historical performance values ​​for each hard control parameter. If the flaw detection label is non-compliant, the historical steel plate rolling data includes steel plate serial number.

[0016] Based on the rolling labels in the historical steel plate rolling data of all historical steel plates that meet the flaw detection label in the historical specification rolling data of each historical specification, all historical steel plates in the historical specification rolling data of each historical specification are divided, and the historical rolling label data of each rolling label of each historical specification is determined. The historical rolling label data includes the historical steel plate rolling data of multiple historical steel plates.

[0017] Preferably, a method for controlling the low-temperature rolling forming of thick steel plates for container bodies, based on rolling hardware control data and historical rolling label data for each historical specification of each rolling label, determines the specification reference data for each requirement specification in the rolling requirement data, including:

[0018] Based on the rolling hard control data, the historical hard control performance data of each historical steel plate rolling data in the historical rolling label data of each historical specification with a rolling label of rolling or minor repair is judged. If the performance value of any hard control parameter in the historical hard control performance data does not meet the hard control range of the corresponding hard control parameter in the rolling hard control data, the historical steel plate rolling data corresponding to the historical hard control performance data is removed from the historical rolling label data of the historical specification with a rolling label of rolling or minor repair, until the performance value of any hard control parameter in the historical hard control performance data of each historical steel plate rolling data in the historical rolling label data of each historical specification with a rolling label of rolling or minor repair meets the hard control range of the corresponding hard control parameter in the rolling hard control data.

[0019] Based on each requirement specification in the rolling requirement data and the historical rolling label data after removing all rolling labels of all historical specifications, calculate the specification reference data for each requirement specification in the rolling requirement data. The specification reference data includes the historical rolling label data of multiple rolling labels of at least one historical specification.

[0020] Preferably, a method for controlling the low-temperature rolling forming of thick steel plates for container bodies includes determining the set of rolling bend counts for each required specification in the rolling requirement data, the necessary rolling bend value for each rolling bend count in the rolling bend count set, and rolling bend labels, including:

[0021] Extract the number of roll bending times from the historical steel plate rolling data in the specification reference data of each requirement specification in the rolling requirement data to determine the set of roll bending times for each requirement specification.

[0022] Based on the set of rolling bend counts for each requirement specification in the rolling hard control data and rolling demand data, as well as the rolling labels, historical hard control performance data, steel plate performance values, and historical rolling data in all historical steel plate rolling data in the specification reference data, calculate the necessary rolling bend value for each rolling bend count in the set of rolling bend counts for each requirement specification in the rolling demand data.

[0023] The necessary value of each bend count in the set of bend counts for each requirement specification in the rolling requirement data is compared with the preset necessary value. If the necessary value of bend count is less than the preset necessary value, the bend count label of the bend count in the set of bend counts for the requirement specification in the rolling requirement data is determined to be redundant; otherwise, the bend count label of the bend count in the set of bend counts for the requirement specification in the rolling requirement data is determined to be necessary.

[0024] Preferably, a method for controlling the low-temperature rolling forming of thick steel plates for container bodies, based on the set of rolling bend counts for required specifications in the rolling demand data and the rolling label for each rolling bend count in the set of rolling bend counts, determines the specification counts, control reference data, and rolling control data for each required specification, including:

[0025] Based on the rolling labels of all rolling times in the rolling times set for each requirement specification in the rolling requirement data, determine the specification times for each requirement specification.

[0026] Based on the number of times each requirement specification is specified in the coiling requirement data, historical coiling data is extracted from all historical steel plate coiling data in the corresponding specification reference data to determine the control reference data for each requirement specification in the coiling requirement data. The control reference data includes multiple historical steel plate coiling data.

[0027] Based on the historical rolling data, historical hard control performance data, and steel plate performance values ​​from all historical steel plate rolling data in the control reference data for each demand specification in the rolling demand data, as well as the rolling control model, the rolling control data for each demand specification is determined. The rolling control data includes the control value of each control parameter for each rolling operation within the specification number of times.

[0028] Preferably, a method for controlling the low-temperature rolling forming of thick steel plates for container bodies, based on rolling requirement data, rolling substrate, substrate flaw detection data, and rolling control data, involves rolling steel plates for each required specification, including:

[0029] Based on the coiling demand data and the coiling substrate, multiple steel plates of each demand specification in the coiling demand data are determined.

[0030] Based on the substrate flaw detection data, flaw detection is performed on each steel plate of each required specification to determine the flaw detection label for each steel plate of each required specification. The flaw detection label includes compliant and non-compliant.

[0031] Based on the rolling control data for each requirement specification in the rolling requirement data, each steel plate that meets the flaw detection label for each requirement specification is rolled.

[0032] This invention provides a control system for low-temperature rolling and forming of container cylinders from thick steel plates, used to execute any one of the low-temperature rolling and forming control methods for container cylinders from embodiments 1 to 7, including:

[0033] Acquisition module: Acquires application purpose and rolling requirements data for low-temperature thick steel plate rolling, selects rolling substrate, and acquires substrate flaw detection data and rolling hard control data;

[0034] Data Acquisition Module: Collects historical roll data for multiple historical specifications, and determines the historical roll label data for each roll label of each historical specification based on the historical roll data for each historical specification.

[0035] Determine the module: Based on the rolling hardware control data and the historical rolling label data of each rolling label for each historical specification, determine the specification reference data, rolling bend count set, rolling bend necessary value for each rolling bend count in the rolling requirement data, and rolling bend label for each requirement specification in the rolling requirement data.

[0036] Control module: Based on the set of rolling bend counts for each requirement specification in the rolling requirement data, and the rolling label for each rolling bend count in the rolling requirement set, determine the specification count, control reference data, and rolling control data for each requirement specification.

[0037] Rolling module: Based on rolling requirement data, rolling substrate, substrate flaw detection data, and rolling control data, steel plates are rolled for each required specification.

[0038] The beneficial effects of this invention compared to existing technologies are as follows: By acquiring application purpose and rolling requirement data, selecting rolling substrate, acquiring substrate flaw detection data and rolling hardware control data, collecting historical specification rolling data for multiple historical specifications, determining historical rolling label data for each rolling label of each historical specification, determining the specification reference data, rolling bend count set, rolling necessary value for each rolling bend count in the rolling requirement data for each required specification, rolling label, specification count, control reference data, and rolling control data, and then rolling steel plates for each required specification. This allows for precise screening of specification reference data and rolling elements, achieving quantitative optimization of control parameters, ensuring the rolling process conforms to the characteristics of low-temperature thick steel plate working conditions, avoiding the risk of large-scale rework and waste, reducing parameter debugging costs and resource waste, and balancing the accuracy, safety, and efficiency of rolling, providing a systematic and scientific control path for container cylinder forming.

[0039] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in this application.

[0040] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0041] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0042] Figure 1 This is a schematic diagram of a method for controlling the low-temperature rolling and forming of a container cylinder using thick steel plates, as described in an embodiment of the present invention.

[0043] Figure 2 This is a flowchart of a control system for low-temperature rolling and forming of a container cylinder using thick steel plates, as described in an embodiment of the present invention. Detailed Implementation

[0044] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0045] Example 1:

[0046] This invention provides a method for controlling the low-temperature rolling and forming of thick steel plates for container bodies, with reference to... Figure 1 ,include:

[0047] S1: Obtain the application purpose and rolling requirements data of low-temperature thick steel plate rolling, select the rolling substrate, and obtain substrate flaw detection data and rolling hard control data;

[0048] S2: Collect historical roll data for multiple historical specifications, and determine the historical roll label data for each roll label for each historical specification based on the historical roll data for each historical specification.

[0049] S3: Based on the rolling hard control data and the historical rolling label data of each rolling label for each historical specification, determine the specification reference data, rolling bend count set, rolling bend necessary value for each rolling bend count in the rolling requirement data for each requirement specification, and rolling bend label.

[0050] S4: Based on the set of rolling bend counts for each requirement specification in the rolling requirement data and the rolling label for each rolling bend count in the rolling requirement set, determine the specification count, control reference data, and rolling control data for each requirement specification.

[0051] S5: Based on the rolling demand data, rolling substrate, substrate flaw detection data, and rolling control data, steel plates are rolled for each required specification.

[0052] In this embodiment, the application purpose clearly defines the specific use scenario of the rolled container shell, such as a liquid ammonia storage tank or hydrogen separation tower in the preparation of hydrogen ammonia and alcohol. This serves as the basic guide for all subsequent steps. The rolling requirement data includes the required specifications of multiple rolled low-temperature thick steel plates and the required quantity for each specification. The requirements specifically cover key parameters such as thickness, width, and diameter, which directly determine the basic shape of the rolled product. The rolling substrate is the raw material of the low-temperature thick steel plate used for rolling. Its selection must be closely integrated with the application purpose to ensure that the material performance is suitable for the application scenario. The substrate flaw detection data is the data from the quality inspection of the selected substrate to determine whether the substrate has internal inclusions, delamination, or other defects. The rolling hard control data includes multiple hard control parameters and the hard control range and optimal value for each parameter. Hard control parameters are core indicators that must be strictly controlled during the rolling process. The hard control range sets the compliance boundaries of the parameters, and the optimal hard control value is the parameter target that achieves the best rolling effect within the compliance range.

[0053] In this embodiment, multiple historical specifications refer to past winding tasks with different parameter requirements. Each historical specification corresponds to a set of historical specification winding data, which records detailed information about past winding processes. Winding labels include completed, minor rework, major rework, and scrapped, representing different winding result states. By sorting through the historical specification winding data for each historical specification and classifying it according to different winding labels, we can obtain the historical winding label data corresponding to each winding label under each historical specification. These data sets respectively aggregate the historical records of the same winding results.

[0054] In this embodiment, the rolling hardware control data serves as a hard constraint, ensuring that all subsequently determined parameters are within compliance ranges. Historical rolling label data for each historical specification is matched and analyzed with each requirement specification in the current rolling requirement data to filter out specification reference data. Simultaneously, all relevant bending counts are extracted from the specification reference data to form a bending count set. By analyzing the correlation between bending counts and data such as rolling results and hardware control performance, a bending necessity value for each bending count is calculated, which measures the importance of the bending count. The bending necessity value is then compared with a preset necessity value to determine whether the bending label for each bending count is necessary or redundant. A necessary label indicates that the bending count is indispensable in the rolling process, while a redundant label indicates that the bending count can be eliminated.

[0055] In this embodiment, the number of rolls refers to the number of bends required to complete the corresponding roll forming task. The control reference data is historical steel plate roll forming data that matches the number of rolls, further filtered from the specification reference data. This data represents valid roll forming records under the same number of rolls in the past. Determining the roll forming control data requires combining historical roll forming data and historical hard control performance data from the historical steel plate roll forming and minor rework data in the control reference data, as well as the steel plate performance values ​​and the roll forming control model. The final output is the control value of each control parameter for each roll forming within the specified number of rolls. These control values ​​serve as a precise basis for guiding actual roll forming operations.

[0056] In this embodiment, the rolling requirement data clarifies the rolling target and quantity, the rolling substrate provides the raw materials for rolling, the substrate flaw detection data ensures the quality of the substrate used, and the rolling control data provides specific operating parameters. Combining these four elements, and following the control parameters specified in the rolling control data for each rolling operation, the steel plates that have passed flaw detection for each requirement specification are rolled one by one to ensure that the final rolled container cylinder meets all the requirements of the requirement specification and is suitable for the operating conditions of the intended application.

[0057] The beneficial effects of the above technology are as follows: By acquiring application purpose and rolling requirement data, selecting rolling substrate, obtaining substrate flaw detection data and rolling hardware control data, collecting historical specification rolling data for multiple historical specifications, determining historical rolling label data for each rolling label of each historical specification, determining the specification reference data, rolling bend count set, rolling necessary value for each rolling bend count in the rolling requirement data for each required specification, rolling label, specification count, control reference data, and rolling control data, and then rolling steel plates for each required specification. This allows for precise screening of specification reference data and rolling elements, achieving quantitative optimization of control parameters, ensuring the rolling process conforms to the characteristics of low-temperature thick steel plate working conditions, avoiding the risk of large-scale rework and scrap, reducing parameter debugging costs and resource waste, and balancing the accuracy, safety, and efficiency of rolling, providing a systematic and scientific control path for container shell forming.

[0058] Example 2:

[0059] Based on Example 1, a method for controlling the low-temperature thick steel plate rolling forming of a container body is provided, which includes obtaining the application purpose and rolling requirements data of the low-temperature thick steel plate rolling forming, selecting the rolling substrate, and obtaining substrate flaw detection data and rolling hard control data, including:

[0060] Obtain application purpose and rolling demand data for low-temperature thick steel plate rolling. The rolling demand data includes the required specifications of multiple low-temperature thick steel plates to be rolled and the required quantity of each specification. The required specifications include thickness, width and diameter.

[0061] The substrate to be rolled is selected based on the application purpose. Based on the application purpose and the substrate to be rolled, flaw detection data and hard control data of the substrate are obtained. The hard control data of the rolled substrate includes multiple hard control parameters, the hard control range of each hard control parameter and the optimal value of the hard control.

[0062] In this embodiment, the application purpose clearly defines the specific scenario in which the rolled container cylinder will serve, such as a liquid ammonia storage tank or a hydrogen separation tower in the preparation of hydrogen ammonia and alcohol. The rolling demand data is a set of specific requirements for the rolling output. Multiple specifications for rolled low-temperature thick steel plates indicate rolling tasks with different parameter standards. The required quantity for each specification indicates the number of steel plates that need to be produced under each parameter standard. The thickness in the demand specifications directly relates to the load-bearing capacity and rolling difficulty of the steel plate; the width affects the basic perimeter of the rolled cylinder; and the diameter determines the final cross-sectional size of the container cylinder. These parameters together constitute the basic target requirements for rolling production.

[0063] In this embodiment, the application purpose is a key basis for substrate selection. Different application scenarios have significantly different performance requirements for substrates. For example, containers used in ultra-low temperature conditions require steel with stronger low-temperature toughness as the substrate for rolling. After determining the application purpose and the substrate to be rolled, obtaining substrate flaw detection data is to inspect the internal quality of the selected substrate, check for defects such as inclusions and delamination, and ensure that the substrate itself meets the quality requirements for rolling. The rolling hard control data is a set of core control indicators that must be strictly followed during the rolling process. For example, for liquid hydrogen / liquid ammonia storage tanks, the hard control parameters, hard control range, and optimal hard control values ​​in the rolling hard control data are as follows: rolling temperature 80±10℃, single-pass reduction ≤1.5%, optimal 1.2%, roundness ≤2mm, optimal ≤1.5mm, surface residual stress ≤80MPa, optimal ≤60MPa, etc. For ammonia synthesis tower shells, the hard control parameters, hard control range, and optimal hard control values ​​in the rolling hard control data are as follows: wall thickness ellipticity ≤1mm, optimal 0.7mm, interlayer temperature 150±10℃, optimal 150℃, final pass interference 0.15±0.05mm, optimal 0.15mm, etc. Multiple hardware control parameters cover key process points in the winding process. The hardware control range of each hardware control parameter sets the upper and lower limits that the parameter must comply with to ensure that no fundamental quality problems occur in the winding process. The optimal hardware control value is the parameter target value that can make the winding quality better and more efficient within the compliance range, providing more accurate guidance for the winding operation.

[0064] In this embodiment, the substrate flaw detection data includes the flaw detection execution standard, flaw detection range, and flaw detection acceptance level. For the same piece of low-temperature thick steel plate, if it is rolled into a liquid hydrogen storage tank, the billet must meet the requirements of GB / T2970 Class I, which requires that a single defect be ≤5mm equivalent to a flat-bottomed hole and that there be no continuous dense defects. If it is only used as a polar pipe gallery support, Class II is sufficient, which requires that a single defect be ≤8mm and the total length of the dense area be ≤30mm. If it is used for non-pressure building enclosure, it can even be reduced to Class III or exempted from inspection by negotiation, which requires that a single defect be ≤10mm, but it must be recorded for evaluation.

[0065] The beneficial effects of the above technologies are: obtaining application purpose and rolling requirements data for low-temperature thick steel plate rolling, selecting rolling substrate, obtaining substrate flaw detection data and rolling hard control data, which can achieve precise matching of substrate selection and provide a targeted and efficient pre-planning basis for low-temperature thick steel plate rolling.

[0066] Example 3:

[0067] Based on Example 2, a method for controlling the low-temperature rolling forming of thick steel plates for container bodies is provided. This method collects historical rolling data for multiple historical specifications and determines historical rolling label data for each rolling label of each historical specification based on the historical rolling data for each historical specification. This includes:

[0068] Based on the application purpose, historical rolling data of multiple specifications of low-temperature thick steel plates were collected. The historical rolling data includes flaw detection labels of multiple historical steel plates and historical steel plate rolling data. The flaw detection labels include compliant and non-compliant. If the flaw detection label is compliant, the historical steel plate rolling data includes steel plate serial number, historical rolling data, rolling label, historical hard control performance data and steel plate performance value. The rolling label includes rolled, minor rework, major rework and scrap. The historical rolling data includes multiple roll bends, multiple control parameters for each roll bend and control values ​​for each control parameter. The historical hard control performance data includes multiple hard control parameters and historical performance values ​​for each hard control parameter. If the flaw detection label is non-compliant, the historical steel plate rolling data includes steel plate serial number.

[0069] Based on the rolling labels in the historical steel plate rolling data of all historical steel plates that meet the flaw detection label in the historical specification rolling data of each historical specification, all historical steel plates in the historical specification rolling data of each historical specification are divided, and the historical rolling label data of each rolling label of each historical specification is determined. The historical rolling label data includes the historical steel plate rolling data of multiple historical steel plates.

[0070] In this embodiment, the application purpose determines the range of historical specifications collected, ensuring that the acquired data matches the current rolling requirements. The flaw detection labels on multiple historical steel plates identify the quality inspection results of each plate. Compliance indicates that the steel plate meets quality standards and can be used for subsequent analysis; non-compliance indicates the presence of quality defects. When the flaw detection label is compliant, the historical steel plate rolling data is rich in content. The steel plate serial number uniquely identifies each historical steel plate. The historical rolling data records multiple bends during the rolling process. Multiple control parameters and their values ​​for each bend reflect the operational details of each step. Control parameters can include upper roll pressure, lower roll position, roll gap opening, rolling speed, plate head / tail temperature, measured radius of curvature, roundness difference, generatrix straightness, surface hardness increment, and final interference fit. The rolling label reflects the final rolling result of the historical steel plate, and the historical hard control performance data demonstrates the actual performance of the hard control parameters on the steel plate. The steel plate performance value directly reflects the overall performance of the steel plate. When the flaw detection label is non-compliant, only the steel plate serial number is retained as the basic identifier to avoid invalid data interfering with subsequent analysis.

[0071] In this embodiment, for each historical specification, historical steel plates with compliant flaw detection labels are first selected because their basic quality meets the standards, and their rolling data is valuable for reference. Then, based on the rolling labels of these compliant steel plates, all historical steel plates with compliant flaw detection under the same historical specification are categorized according to different labels: rolled, minor repair, major repair, and scrapped. This categorization clarifies the specific historical steel plate data set corresponding to different rolling results under each historical specification, i.e., the historical rolling label data for each rolling label. Each of these data sets contains complete rolling data for multiple historical steel plates with the same rolling label.

[0072] In this embodiment, the surface MT / VT of the rolled steel plate has no depth indication. For example, if there is a shallow crack with a straight edge ≤100mm, a local roundness deviation ≤3mm, or the UT / MT depth of the rolled steel plate is ≤1 / 3t and not in the weld area, for example, the crack depth is ≤4mm, or the local hardness increase is ≤40HV, the rolling label indicates a minor repair. The rolled steel plate needs to be repaired with an area ≥0.2m². For example, if the crack depth is >1 / 3t but ≤1 / 2t, or the length is >300mm, the rolling label indicates a major repair. If the rolled steel plate has a depth >1 / 2t or is still unqualified after one repair, for example, the crack is penetrating, forked, located in the weld area, or cracks again after repair, the rolling label indicates a scrap.

[0073] The beneficial effects of the above technology are as follows: by collecting historical roll data of multiple historical specifications, and determining the historical roll label data of each roll label of each historical specification based on the historical roll data of each historical specification, it can provide high-quality and clearly classified historical basis for determining specification reference data and reduce data redundancy processing costs.

[0074] Example 4:

[0075] Based on Example 3, a method for controlling the low-temperature rolling forming of thick steel plates for container bodies, based on rolling hard control data and historical rolling label data for each historical specification of each rolling label, determines the specification reference data for each requirement specification in the rolling requirement data, including:

[0076] Based on the rolling hard control data, the historical hard control performance data of each historical steel plate rolling data in the historical rolling label data of each historical specification with a rolling label of rolling or minor repair is judged. If the performance value of any hard control parameter in the historical hard control performance data does not meet the hard control range of the corresponding hard control parameter in the rolling hard control data, the historical steel plate rolling data corresponding to the historical hard control performance data is removed from the historical rolling label data of the historical specification with a rolling label of rolling or minor repair, until the performance value of any hard control parameter in the historical hard control performance data of each historical steel plate rolling data in the historical rolling label data of each historical specification with a rolling label of rolling or minor repair meets the hard control range of the corresponding hard control parameter in the rolling hard control data.

[0077] Based on each requirement specification in the rolling requirement data and the historical rolling label data after removing all rolling labels of all historical specifications, calculate the specification reference data for each requirement specification in the rolling requirement data. The specification reference data includes the historical rolling label data of multiple rolling labels of at least one historical specification.

[0078] In this embodiment, the rolling hard control data is the core basis for screening, and the hard control parameters and their corresponding hard control ranges are inviolable quality baselines. For historical data with rolling labels of "rolled" or "minor repair" under each historical specification, the historical hard control performance data of each historical steel plate needs to be checked one by one. If the actual historical performance value of any hard control parameter exceeds the hard control range of that parameter in the rolling hard control data, even if its rolling label shows "qualified" or "minor repair," the complete rolling data of that historical steel plate must be removed from the corresponding dataset. This screening process will be repeated until all historical steel plate rolling data corresponding to the "rolled" and "minor repair" labels under that historical specification contain performance values ​​of every hard control parameter that strictly conform to the hard control range, ensuring that the remaining data are truly valid data that meets the core control indicators.

[0079] In this embodiment, based on each requirement specification in the rolling requirement data and the historical rolling label data after removing all rolling labels for all historical specifications, the specification reference data for each requirement specification in the rolling requirement data is calculated. The calculation formula is expressed as follows:

[0080] ;

[0081] ;

[0082] ;

[0083] ;

[0084] ;

[0085] ;

[0086] ;

[0087] ;

[0088] in, This represents the specification reference data for the i-th requirement specification in the rolling demand data. , This represents the first specification reference sub-data and the second specification reference sub-data of the i-th requirement specification in the rolling requirement data. This represents a conditional expression. This represents the i-th requirement specification in the rolling requirement data. This represents the j-th historical specification. This represents the historical roll label data after removing the k-th roll label of the j-th historical specification. Let represent the historical coil label data after removing the first and second coil labels for the j-th historical specification, respectively; jkN1 represents the number of historical steel plate coil data in the historical coil label data after removing the k-th coil label for the j-th historical specification; and 1kN2 and 2KN1 represent the number of historical steel plate coil data in the historical coil label data after removing the first and second coil labels for the j-th historical specification, respectively. This represents the k-th roll label of the j-th historical specification. hour , hour , hour , hour , TH1 represents the first reference threshold, TH2 represents the second reference threshold, and N2 represents the number of historical specifications. This represents the m-th requirement value of the i-th requirement specification in the rolling requirement data. This represents the m-th demand value of the j-th historical specification, where m=1. =Thickness, =Thickness; when m=2 =width, =width; when m=3 =diameter, =diameter, This represents the specification distance between the i-th demand specification and the j-th historical specification in the rolling demand data. Let represent the first sequence after sorting all specifications in descending order of their distances to the i-th requirement specification. This represents the nth specification distance in the first sequence. This represents the number of historical steel plate rolling data in the historical rolling tag data after removing the historical rolling tag of the kth rolling tag corresponding to the nth specification in the first sequence. These represent the number of historical steel plate rolling data in the historical rolling tag data after removing the first and second rolling tags of the corresponding historical specification, respectively, for the nth specification in the first sequence. This represents the historical roll label data after removing the k-th roll label from the distance between the n-th specification and the corresponding historical specification in the first sequence. These represent the historical roll label data after removing the first and second roll labels of the corresponding historical specification, respectively, for the nth specification in the first sequence. Indicates the first reference value. Indicates the second reference value. This represents the historical roll label data after removing the k-th roll label of the corresponding historical specification from the first specification in the first sequence.

[0089] In this embodiment, This represents the historical roll label data after removing the first roll label of all historical specifications corresponding to the distance from the second specification to the q1th specification in the first sequence.

[0090] In this embodiment, This represents the historical roll label data after removing the second roll label of all historical specifications corresponding to the distance from the second specification to the q2th specification in the first sequence.

[0091] In this embodiment, This represents the historical roll label data after removing all roll labels corresponding to all historical specifications in the first sequence.

[0092] In this embodiment, This indicates that the Euclidean distances between the i-th requirement specification and all historical specifications in the roll production requirement data are sorted in descending order.

[0093] In this embodiment, the unit of 2 in the Euclidean distance is millimeters, and the unit of 200 is millimeters.

[0094] In this embodiment, This refers to any one of the historical specifications.

[0095] The beneficial effects of the above technologies are as follows: Based on the rolling hardware control data and the historical rolling label data of each rolling label for each historical specification, the specification reference data of each requirement specification in the rolling requirement data can be determined. This can make the specification reference data both compliant and rich, providing an accurate and comprehensive basis for the subsequent determination of rolling control parameters, reducing control deviations caused by data impurities, and improving the stability of rolling forming quality.

[0096] Example 5:

[0097] Based on Example 4, a method for controlling the low-temperature rolling forming of thick steel plates for container bodies includes determining the set of rolling bend counts for each required specification in the rolling requirement data, the necessary rolling bend value for each rolling bend count in the rolling bend count set, and rolling bend labels, including:

[0098] Extract the number of roll bending times from the historical steel plate rolling data in the specification reference data of each requirement specification in the rolling requirement data to determine the set of roll bending times for each requirement specification.

[0099] Based on the set of rolling bend counts for each requirement specification in the rolling hard control data and rolling demand data, as well as the rolling labels, historical hard control performance data, steel plate performance values, and historical rolling data in all historical steel plate rolling data in the specification reference data, calculate the necessary rolling bend value for each rolling bend count in the set of rolling bend counts for each requirement specification in the rolling demand data.

[0100] The necessary value of each bend count in the set of bend counts for each requirement specification in the rolling requirement data is compared with the preset necessary value. If the necessary value of bend count is less than the preset necessary value, the bend count label of the bend count in the set of bend counts for the requirement specification in the rolling requirement data is determined to be redundant; otherwise, the bend count label of the bend count in the set of bend counts for the requirement specification in the rolling requirement data is determined to be necessary.

[0101] In this embodiment, each requirement specification in the rolling demand data corresponds to specification reference data, which contains rolling information for multiple historical steel plates. It is necessary to extract the number of bends in each rolling process from the historical rolling data of these historical steel plates. These extracted bend counts may vary. After summarizing all extracted bend counts and removing duplicates, a set of bend counts for that requirement specification is formed. This set covers all the bend counts used for that requirement specification in historical rolling processes.

[0102] In this embodiment, the roll bending necessity value is used to measure the importance and necessity of the number of roll bending cycles in the rolling process.

[0103] Based on the set of rolling bend counts for each required specification in the rolling control data and rolling demand data, as well as the rolling labels, historical control performance data, steel plate performance values, and historical rolling data from all historical steel plate rolling data in the specification reference data, the necessary rolling value for each rolling bend count in the rolling bend count set is calculated. The calculation formula is expressed as follows:

[0104] ;

[0105] ;

[0106] ;

[0107] ;

[0108] ;

[0109] in, This represents the required rolling bending value for the a-th rolling bending number within the set of rolling bending times for the i-th requirement specification in the rolling requirement data. This represents the a-th bend count in the set of bend counts for the i-th requirement specification in the rolling requirement data. This represents the historical performance value of the c-th hard control parameter in the historical hard control performance data of the b-th historical steel plate coiling data within the specification reference data for the i-th demand specification in the coiling demand data. This represents the optimal hardware control value of the c-th hardware control parameter in the winding hardware control data, where N4 represents the number of hardware control parameters. This represents the steel plate performance value from the b-th historical steel plate coiling data within the specification reference data for the i-th demand specification in the coiling demand data. This represents the average steel plate performance across all historical steel plate coiling data within the specification reference data for the i-th required specification in the coiling demand data. This represents the number of roll bending operations in the historical rolling data of the b-th historical steel plate rolling data within the specification reference data for the i-th demand specification in the rolling demand data. This represents the number of roll bending operations in the historical rolling data of the b-th historical steel plate rolling data within the specification reference data of the i-th demand specification in the rolling demand data, based on the first exponential function of the a-th roll bending number in the roll bending number set. This represents the performance deviation value of the b-th historical steel plate in the specification reference data for the i-th demand specification in the coiling demand data. This represents the control value of the e-th control parameter in the historical rolling data of the b-th historical steel plate rolling data of the b-th historical rolling data of the i-th demand specification in the rolling demand data, specifically the e-th control parameter in the d-th roll bend of the historical rolling data. This represents the control value of the e-th control parameter in the (d-1)-th roll bend of the historical steel plate rolling data in the b-th historical rolling data of the specification reference data of the i-th demand specification in the rolling demand data. This represents the standard deviation of the control parameter for the e-th control parameter in all roll bending operations within the historical rolling data of the b-th historical steel plate rolling data in the specification reference data of the i-th demand specification in the rolling demand data. This represents the weight of the e-th control parameter. , This represents the b-th historical steel plate coiling data in the specification reference data for the i-th demand specification in the coiling demand data, where iN6 represents the number of historical steel plate coiling data in the specification reference data for the i-th demand specification in the coiling demand data. This represents the reference weight of the b-th historical steel plate coiling data within the specification reference data for the i-th demand specification in the coiling demand data. This represents the control deviation between the d-th and d-1-th roll bends in the historical rolling data of the b-th historical steel plate rolling data in the specification reference data of the i-th demand specification in the rolling demand data.

[0110] In this embodiment, the control values ​​of all control parameters for two adjacent roll bends are... The closer they are, the more redundant one of the two rolling bends is.

[0111] In this embodiment, the weights of all control parameters are summed to 1. The weights of the control parameters are determined based on the rolling equipment, rolling process, rolling substrate, and required specifications. Among them, the weight of the upper roller pressure can be 0.42, the weight of the final interference can be 0.2, and the weight of the plate temperature can be 0.12, etc.

[0112] In this embodiment, the necessary value of each bending cycle in the set of bending cycles for each requirement specification in the rolling requirement data is compared with a preset necessary value. If the necessary value is less than the preset necessary value, the bending label of that bending cycle in the set of bending cycles for that requirement specification in the rolling requirement data is determined to be redundant; otherwise, the bending label of that bending cycle in the set of bending cycles for that requirement specification in the rolling requirement data is determined to be necessary. The preset necessary value is a pre-set standard used to determine whether a bending cycle is necessary. The necessary value of each bending cycle is compared with this preset value one by one. The preset necessary value can be in the range of 0-1, and can be 0.85. If the necessary value of a certain bending cycle is lower than the preset necessary value, it means that the bending cycle has a small impact on the final quality and effect during the rolling process and is not indispensable, so its bending label is marked as redundant. If the necessary value is greater than or equal to the preset necessary value, it means that the bending cycle is crucial to the rolling process, and its absence may affect product quality or rolling effect, so its bending label is marked as necessary.

[0113] The beneficial effects of the above technologies are as follows: by determining the set of bending times for each requirement specification in the rolling requirement data, the necessary bending value for each bending time in the bending time set, and the bending label, it is possible to achieve a quantitative assessment of the bending times, accurately eliminate invalid bending steps, avoid efficiency loss and cost increase caused by excessive control, and improve the simplification and targeting of the rolling process.

[0114] Example 6:

[0115] Based on Example 5, a method for controlling the rolling and forming of low-temperature thick steel plates for container cylinders, based on the set of rolling bend counts for required specifications in the rolling demand data and the rolling label for each rolling bend count in the rolling demand set, determines the specification count, control reference data, and rolling control data for each required specification, including:

[0116] Based on the rolling labels of all rolling times in the rolling times set for each requirement specification in the rolling requirement data, determine the specification times for each requirement specification.

[0117] Based on the number of times each requirement specification is specified in the coiling requirement data, historical coiling data is extracted from all historical steel plate coiling data in the corresponding specification reference data to determine the control reference data for each requirement specification in the coiling requirement data. The control reference data includes multiple historical steel plate coiling data.

[0118] Based on the historical rolling data, historical hard control performance data, and steel plate performance values ​​from all historical steel plate rolling data in the control reference data for each demand specification in the rolling demand data, as well as the rolling control model, the rolling control data for each demand specification is determined. The rolling control data includes the control value of each control parameter for each rolling operation within the specification number of times.

[0119] In this embodiment, the number of bends for each requirement specification is determined based on the bend labels of all bends in the bend count set for each requirement specification in the rolling requirement data. The calculation formula is as follows:

[0120] ;

[0121] in, This indicates the specification number of the i-th requirement specification in the rolling demand data. This represents the rolling label of the a-th rolling number in the set of rolling number counts for the i-th requirement specification in the rolling requirement data. This represents the maximum number of bends for the i-th specification in the rolling requirements data. This represents the lower limit of the number of bends for the i-th requirement specification in the rolling requirement data.

[0122] In this embodiment, the lower limit and upper limit of the number of rolling bends are determined according to the thickness in the corresponding requirement specification. For example, if the thickness is 30mm, the lower limit and upper limit of the number of rolling bends are 7 and 11 respectively, and if the thickness is 20mm, the lower limit and upper limit of the number of rolling bends are 5 and 9 respectively.

[0123] In this embodiment, the specification reference data stores a large amount of historical steel plate rolling information. Once the number of bends required for a certain specification is determined, this can be used as a filtering condition to search for all historical steel plate rolling data in the specification reference data that match that number of bends. From these matching historical data, the historical rolling data portion is extracted. This extracted historical rolling data collectively constitutes the control reference data for that required specification. This data consists of actual rolling records under the same or similar number of bends in the past, providing direct historical experience for subsequently determining the rolling control parameters for the current required specification.

[0124] In this embodiment, the control reference data includes historical data for different rolling labels. The labels for "completed" and "minor rework" indicate that the corresponding rolling results are qualified or near-qualified, possessing high reference value. From this high-quality historical data, details of control parameters, the performance of hard control parameters reflected in historical hard control performance data, and the final product performance reflected in steel plate performance values ​​are extracted. Historical rolling data for major rework and scrap are used as risk warning samples. These extracted multi-dimensional data are input into the rolling control model, which analyzes and processes the data based on their correlations and patterns. The final output rolling control data clearly specifies the control values ​​for each control parameter during each rolling process within the specified number of cycles. These values ​​are verified through historical data and can guide actual rolling operations to achieve the expected quality results.

[0125] In this embodiment, the rolling control model integrates a dual-dimensional data-driven mapping that combines high-quality experience extraction with risk boundary avoidance. Historical steel plate rolling data from the control reference data, including successful rolling and minor rework, is used as successful samples, while historical data from major rework and scrapped rolling are used as risk samples. The model takes the rolling control parameters, historical hard control performance data, and steel plate performance values ​​from all historical rolling data as input variables. By mining the inherent correlation between control parameter combinations and high-quality rolling results in successful samples, and simultaneously identifying parameter forbidden zones in risk samples that lead to adverse results, a mapping model with dual constraints of successful patterns and risk boundaries is constructed. When combined with the current specification number of times, the model, based on the parameter patterns of successful samples and avoiding the risk parameter range within the specification number of times, outputs specific control values ​​for each control parameter for each rolling operation within the specified number of times. This ensures that the output control parameters both conform to historical successful experience and stay away from the risk range that leads to rework and scrapped rolling, achieving accurate and safe guidance for the rolling process.

[0126] The beneficial effects of the above technology are as follows: Based on the set of rolling bend counts for the required specifications in the rolling demand data, and the rolling label for each rolling bend count in the rolling bend count set, the specification count, control reference data, and rolling control data for each required specification can be determined. This enables precise quantification of rolling parameters for each rolling operation, eliminating invalid control links, ensuring the scientific nature of control parameters, improving the controllability and efficiency of the rolling process, and reducing parameter debugging costs and quality fluctuations.

[0127] Example 7:

[0128] Based on Example 6, a method for controlling the low-temperature rolling of thick steel plates for container bodies is provided. This method, based on rolling requirement data, rolling substrate data, substrate flaw detection data, and rolling control data, involves rolling steel plates for each required specification, including:

[0129] Based on the coiling demand data and the coiling substrate, multiple steel plates of each demand specification in the coiling demand data are determined.

[0130] Based on the substrate flaw detection data, flaw detection is performed on each steel plate of each required specification to determine the flaw detection label for each steel plate of each required specification. The flaw detection label includes compliant and non-compliant.

[0131] Based on the rolling control data for each requirement specification in the rolling requirement data, each steel plate that meets the flaw detection label for each requirement specification is rolled.

[0132] In this embodiment, by combining the specifications and parameters required in the coiling demand data with the actual situation of the coiling substrate, steel plates that meet the requirements of each specification and parameter are selected from the substrate, and the corresponding number of steel plates is determined according to the required quantity for each specification. This ensures that each required specification has a specific production material, namely multiple steel plates that meet the basic parameter requirements, providing a clear target for subsequent quality inspection and coiling operations.

[0133] In this embodiment, for each determined steel plate under each required specification, a comprehensive flaw detection test is performed based on the substrate flaw detection data. The testing process meticulously examines the internal quality of the steel plate. If the internal quality of the steel plate fully meets the flaw detection standards and no unqualified defects are found, it is marked with a compliant flaw detection label; if defects that do not meet the standards are detected inside the steel plate, which may affect the subsequent rolling quality and safety of use, a non-compliant flaw detection label is marked. Through this method of testing one by one, qualified steel plates are screened out in advance, and steel plates with potential quality problems are eliminated.

[0134] In this embodiment, after flaw detection of each steel plate, only those steel plates with compliant flaw detection labels are selected for rolling. During the rolling process, the rolling control data corresponding to the required specifications is strictly followed, and each bending operation is performed sequentially according to the prescribed control parameters. This ensures that each step of the rolling process meets the parameter requirements, ultimately enabling the rolled container cylinder to meet all quality and performance indicators of the required specifications. This avoids rolling failure or substandard product quality due to the use of unqualified steel plates or deviation from control parameters.

[0135] The beneficial effects of the above technologies are as follows: Based on the rolling demand data, rolling substrate, substrate flaw detection data, and rolling control data, steel plates are rolled for each required specification, which can accurately guide the forming effect of the steel plate, reduce rework and scrap caused by substrate defects or parameter deviations, balance the targeting and efficiency of rolling, and improve the overall production quality stability and resource utilization rate.

[0136] Example 8:

[0137] This invention provides a control system for the low-temperature rolling and forming of container cylinders from thick steel plates, used to execute any one of the low-temperature rolling and forming control methods for container cylinders from embodiments 1 to 7, with reference to... Figure 2 ,include:

[0138] Acquisition module: Acquires application purpose and rolling requirements data for low-temperature thick steel plate rolling, selects rolling substrate, and acquires substrate flaw detection data and rolling hard control data;

[0139] Data Acquisition Module: Collects historical roll data for multiple historical specifications, and determines the historical roll label data for each roll label of each historical specification based on the historical roll data for each historical specification.

[0140] Determine the module: Based on the rolling hardware control data and the historical rolling label data of each rolling label for each historical specification, determine the specification reference data, rolling bend count set, rolling bend necessary value for each rolling bend count in the rolling requirement data, and rolling bend label for each requirement specification in the rolling requirement data.

[0141] Control module: Based on the set of rolling bend counts for each requirement specification in the rolling requirement data, and the rolling label for each rolling bend count in the rolling requirement set, determine the specification count, control reference data, and rolling control data for each requirement specification.

[0142] Rolling module: Based on rolling requirement data, rolling substrate, substrate flaw detection data, and rolling control data, steel plates are rolled for each required specification.

[0143] The beneficial effects of the above technology are as follows: By acquiring application purpose and rolling requirement data, selecting rolling substrate, obtaining substrate flaw detection data and rolling hardware control data, collecting historical specification rolling data for multiple historical specifications, determining historical rolling label data for each rolling label of each historical specification, determining the specification reference data, rolling bend count set, rolling necessary value for each rolling bend count in the rolling requirement data for each required specification, rolling label, specification count, control reference data, and rolling control data, and then rolling steel plates for each required specification. This allows for precise screening of specification reference data and rolling elements, achieving quantitative optimization of control parameters, ensuring the rolling process conforms to the characteristics of low-temperature thick steel plate working conditions, avoiding the risk of large-scale rework and scrap, reducing parameter debugging costs and resource waste, and balancing the accuracy, safety, and efficiency of rolling, providing a systematic and scientific control path for container shell forming.

[0144] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for controlling the low-temperature rolling and forming of a container cylinder from thick steel plates, characterized in that, include: S1: Obtain the application purpose and rolling requirements data for low-temperature thick steel plate rolling, select the rolling substrate, and obtain substrate flaw detection data and rolling hard control data; S2: Collect historical roll data for multiple historical specifications, and determine the historical roll label data for each roll label for each historical specification based on the historical roll data for each historical specification. S3: Based on the rolling hard control data and the historical rolling label data of each rolling label of each historical specification, determine the specification reference data, rolling bend count set, rolling bend necessary value of each rolling bend count in the rolling requirement data for each requirement specification, and rolling bend label. S4: Based on the set of rolling bend counts for each requirement specification in the rolling requirement data and the rolling label for each rolling bend count in the rolling requirement set, determine the specification count, control reference data, and rolling control data for each requirement specification. S5: Based on the rolling demand data, rolling substrate, substrate flaw detection data, and rolling control data, steel plates are rolled for each required specification.

2. The method for controlling the low-temperature rolling and forming of a container cylinder from thick steel plates according to claim 1, characterized in that, To obtain the application purpose and rolling requirements data for low-temperature thick steel plate rolling, select the rolling substrate, and obtain substrate flaw detection data and rolling hard control data, including: Obtain application purpose and rolling demand data for low-temperature thick steel plate rolling. The rolling demand data includes the required specifications of multiple low-temperature thick steel plates to be rolled and the required quantity of each specification. The required specifications include thickness, width and diameter. The substrate to be rolled is selected based on the application purpose. Based on the application purpose and the substrate to be rolled, flaw detection data and hard control data of the substrate are obtained. The hard control data of the rolled substrate includes multiple hard control parameters, the hard control range of each hard control parameter and the optimal value of the hard control.

3. The method for controlling the low-temperature rolling and forming of a container cylinder from thick steel plates according to claim 2, characterized in that, Collect historical roll data for multiple historical specifications, and based on the historical roll data for each historical specification, determine the historical roll label data for each roll label for each historical specification, including: Based on the application purpose, historical rolling data of multiple specifications of low-temperature thick steel plates were collected. The historical rolling data includes flaw detection labels of multiple historical steel plates and historical steel plate rolling data. The flaw detection labels include compliant and non-compliant. If the flaw detection label is compliant, the historical steel plate rolling data includes steel plate serial number, historical rolling data, rolling label, historical hard control performance data and steel plate performance value. The rolling label includes rolled, minor rework, major rework and scrap. The historical rolling data includes multiple roll bends, multiple control parameters for each roll bend and control values ​​for each control parameter. The historical hard control performance data includes multiple hard control parameters and historical performance values ​​for each hard control parameter. If the flaw detection label is non-compliant, the historical steel plate rolling data includes steel plate serial number. Based on the rolling labels in the historical steel plate rolling data of all historical steel plates that meet the flaw detection label in the historical specification rolling data of each historical specification, all historical steel plates in the historical specification rolling data of each historical specification are divided, and the historical rolling label data of each rolling label of each historical specification is determined. The historical rolling label data includes the historical steel plate rolling data of multiple historical steel plates.

4. The method for controlling the low-temperature rolling and forming of a container cylinder from thick steel plates according to claim 3, characterized in that, Based on the winding hardware control data and the historical winding label data for each winding label of each historical specification, the specification reference data for each requirement specification in the winding requirement data is determined, including: Based on the rolling hard control data, the historical hard control performance data of each historical steel plate rolling data in the historical rolling label data of each historical specification with a rolling label of rolling or minor repair is judged. If the performance value of any hard control parameter in the historical hard control performance data does not meet the hard control range of the corresponding hard control parameter in the rolling hard control data, the historical steel plate rolling data corresponding to the historical hard control performance data is removed from the historical rolling label data of the historical specification with a rolling label of rolling or minor repair, until the performance value of any hard control parameter in the historical hard control performance data of each historical steel plate rolling data in the historical rolling label data of each historical specification with a rolling label of rolling or minor repair meets the hard control range of the corresponding hard control parameter in the rolling hard control data. Based on each requirement specification in the rolling requirement data and the historical rolling label data after removing all rolling labels of all historical specifications, calculate the specification reference data for each requirement specification in the rolling requirement data. The specification reference data includes the historical rolling label data of multiple rolling labels of at least one historical specification.

5. The method for controlling the low-temperature rolling and forming of a container cylinder from thick steel plates according to claim 4, characterized in that, Determine the set of bending counts for each requirement specification in the rolling requirement data, the required bending value for each bending count in the bending count set, and the bending label, including: Extract the number of roll bending times from the historical steel plate rolling data in the specification reference data of each requirement specification in the rolling requirement data to determine the set of roll bending times for each requirement specification. Based on the set of rolling bend counts for each requirement specification in the rolling hard control data and rolling demand data, as well as the rolling labels, historical hard control performance data, steel plate performance values, and historical rolling data in all historical steel plate rolling data in the specification reference data, calculate the necessary rolling bend value for each rolling bend count in the set of rolling bend counts for each requirement specification in the rolling demand data. The necessary value of each bend count in the set of bend counts for each requirement specification in the rolling requirement data is compared with the preset necessary value. If the necessary value of bend count is less than the preset necessary value, the bend count label of the bend count in the set of bend counts for the requirement specification in the rolling requirement data is determined to be redundant; otherwise, the bend count label of the bend count in the set of bend counts for the requirement specification in the rolling requirement data is determined to be necessary.

6. The method for controlling the low-temperature rolling and forming of a container cylinder from thick steel plates according to claim 5, characterized in that, Based on the set of rolling bend counts for each requirement specification in the rolling requirement data, and the rolling label for each rolling bend count in the rolling requirement set, determine the specification count, control reference data, and rolling control data for each requirement specification, including: Based on the rolling labels of all rolling times in the rolling times set for each requirement specification in the rolling requirement data, determine the specification times for each requirement specification. Based on the number of times each requirement specification is specified in the coiling requirement data, historical coiling data is extracted from all historical steel plate coiling data in the corresponding specification reference data to determine the control reference data for each requirement specification in the coiling requirement data. The control reference data includes multiple historical steel plate coiling data. Based on the historical rolling data, historical hard control performance data, and steel plate performance values ​​from all historical steel plate rolling data in the control reference data for each demand specification in the rolling demand data, as well as the rolling control model, the rolling control data for each demand specification is determined. The rolling control data includes the control value of each control parameter for each rolling operation within the specification number of times.

7. The method for controlling the low-temperature rolling and forming of a container cylinder from thick steel plates according to claim 6, characterized in that, Based on coiling demand data, coiling substrate, substrate flaw detection data, and coiling control data, steel plate is coiled for each required specification, including: Based on the coiling demand data and the coiling substrate, multiple steel plates of each demand specification in the coiling demand data are determined. Based on the substrate flaw detection data, flaw detection is performed on each steel plate of each required specification to determine the flaw detection label for each steel plate of each required specification. The flaw detection label includes compliant and non-compliant. Based on the rolling control data for each requirement specification in the rolling requirement data, each steel plate that meets the flaw detection label for each requirement specification is rolled.

8. A control system for low-temperature rolling and forming of a container cylinder from thick steel plates, characterized in that, A method for controlling the low-temperature rolling and forming of a container cylinder using any one of claims 1 to 7, comprising: Acquisition module: Acquires application purpose and rolling requirements data for low-temperature thick steel plate rolling, selects rolling substrate, and acquires substrate flaw detection data and rolling hard control data; Data Acquisition Module: Collects historical roll data for multiple historical specifications, and determines the historical roll label data for each roll label of each historical specification based on the historical roll data for each historical specification. Determine the module: Based on the rolling hardware control data and the historical rolling label data of each rolling label for each historical specification, determine the specification reference data, rolling bend count set, rolling bend necessary value for each rolling bend count in the rolling requirement data, and rolling bend label for each requirement specification in the rolling requirement data. Control module: Based on the set of rolling bend counts for each requirement specification in the rolling requirement data, and the rolling label for each rolling bend count in the rolling requirement set, determine the specification count, control reference data, and rolling control data for each requirement specification. Rolling module: Based on rolling requirement data, rolling substrate, substrate flaw detection data, and rolling control data, steel plates are rolled for each required specification.

Images