Whole-process analysis method for hot-rolled steel plate

Abstract

The invention discloses a hot-rolled steel plate full-process analysis method which comprises the following steps: S1, designing a visual interface for hot-rolled steel plate full-process tracking, and formulating a hot-rolled steel plate full-process tracking rule; s2, running through full-flow data of the hot-rolled steel plate; and S3, building a hot-rolled steel plate whole-process material tracking tree. According to the method, the influence of a large amount of errors generated by manual operation on the production quality can be solved, data of the steel plate and the steel coil can be communicated, and the whole process of the hot-rolled steel plate can be tracked and analyzed more conveniently and efficiently.

Description

Technical Field

[0001] The present invention relates to metallurgical technology, and more particularly to a full-process analysis method for hot-rolled steel plates. Background Art

[0002] Hot-rolled steel plate is produced by first forming a hot-rolled coil from a slab in the rolling zone, and then passing through a series of processes in the finishing zone, including flattening, continuous heat treatment, cross-cutting, and conventional heat treatment. Due to the various steps involved in the entire process, the strip material changes from coil to strip and then to plate. Therefore, the data obtained at each stage varies. Coiled strip material is continuous data, while strip and plate material is discrete data.

[0003] Because hot-rolled steel plates are cut from continuous coils during the production process, analysis of these plates is often done through manual recording and visual inspection, placing high demands on operators. However, this inconsistency in operator skill leads to significant fluctuations in the quality of the resulting hot-rolled steel plates. Furthermore, because the data for plates and coils is relatively independent, when an anomaly occurs in a plate, the only way to identify the anomaly is at the production location, making it difficult to pinpoint the root cause. Summary of the Invention

[0004] In response to the defects existing in the prior art, the purpose of the present invention is to provide a full-process analysis method for hot-rolled steel plates, which can solve the impact of errors caused by a large number of manual operations on production quality, and can also connect the data of steel plates and steel coils, so as to track and analyze the entire process of hot-rolled steel plates more conveniently and efficiently.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] A full-process analysis method for hot-rolled steel plates comprises the following steps:

[0007] S1, design a visual interface for tracking the entire process of hot-rolled steel plates and formulate tracking rules for the entire process of hot-rolled steel plates;

[0008] S2, data of the entire process of hot-rolled steel plates;

[0009] S3, build a full-process material tracking tree for hot-rolled steel plates.

[0010] Preferably, the visualization interface in step S1 includes a search and query function area, a full-process material tracking tree drawing and analysis function area, a basic information display area for materials at each stage, and a key process parameter and performance indicator visualization area.

[0011] Preferably, the search query function area uses the basic information parameters of time and specifications as screening conditions to screen out the corresponding material numbers of the hot-rolled steel plates at various stages for analysis.

[0012] Preferably, the full-process material tracking tree drawing and analysis functional area includes a forward material full-process tracking module for hot-rolled steel plates, a reverse production process tracking module, an abnormal steel plate problem tracing module, and a product quality assessment module for the same batch category, and the modules can be switched at will.

[0013] Preferably, the basic information display area for materials at each stage is used to display the specifications, contract status and production quality related information of the selected materials.

[0014] Preferably, in the key process parameters and performance index visualization area, the key process parameters and performance indexes include plate shape, rolling force, temperature and full process accuracy;

[0015] The key process parameters and performance index visualization area is also provided with a custom function, which enables the key process parameters or indicators of interest to be selected for visualization.

[0016] Preferably, the step S2 specifically includes:

[0017] By organizing upstream and downstream data, continuous data and discrete data are matched using common parameters;

[0018] Select process parameters that are not easily changed with the process to match.

[0019] Preferably, the step S3 specifically includes:

[0020] Combined with production data information, a recursive algorithm is used to organize the inlet and outlet material numbers of each stage of the entire process from hot-rolled slab to hot-rolled products, and a material tracking tree for the entire process is generated and visualized.

[0021] Preferably, the following functions of the visual interface are completed based on the construction of the full-process material tracking tree of hot-rolled steel plates:

[0022] 1) To achieve forward tracking of strip steel, enter the material number corresponding to any material in any stage in the search query function area. In the full-process material tracking tree drawing and analysis function area, visualize the material tracking of the entire process from hot-rolled slab to bundle, while highlighting the position of the material in the full-process tracking process. At this time, the basic information display area of ​​the material at each stage will display all the basic information of the material.

[0023] 2) Realize reverse tracking of strip steel, find the corresponding exit material number of the previous stage through the entry material number, realize the serial connection of all stages of materials from the current production stage to the hot-rolled slab, complete the tracking of the reverse material flow, and realize visualization in the full process material tracking tree drawing and analysis function area;

[0024] 3) Traceability analysis of abnormal steel plates: collect relevant process parameter data from the abnormal point to each stage of hot-rolled slabs, use statistical analysis methods and machine learning methods to monitor the collected data for abnormalities, identify abnormal parameters and locate the stage of abnormality, and achieve abnormality tracing;

[0025] 4) Conduct quality assessments on products of the same batch category. Combining the full-process forward tracking tree of steel plates with the anomaly traceability analysis function, the anomaly point can be located while also locking all material information under the current hot-rolled slab. Utilize data analysis and mining technology to conduct in-depth analysis of the process parameters and quality parameters of all materials related to the anomaly point, promptly handle the problem steel plates, and optimize the corresponding processes.

[0026] The present invention provides a full-process analysis method for hot-rolled steel plates, which can restore the entire process of on-site production to a large extent through a visual interface combined with a data processing and analysis method. Utilizing this tool method, by inputting the steel plate number to be analyzed in the interface, not only can the entire slab production process be tracked intuitively, but abnormal steel plates can also be traced back to their source. In addition, the above two methods can be combined to perform quality analysis and process optimization on the same batch of products. Ultimately, the production process can be presented in a panoramic manner, the analysis efficiency of the entire process can be improved, and the abnormal location of the abnormal steel plate can be accurately located and the cause can be found, saving labor costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic flow chart of the full-process analysis method of the present invention;

[0028] Figure 2 is a schematic diagram of the visualization interface in the full-process analysis method of the present invention;

[0029] Figure 3 It is a schematic diagram of the process of constructing the full-process tracking tree of hot-rolled steel plates in the full-process analysis method of the present invention;

[0030] Figure 4 Schematic diagram of the full-process production tracking tree for searching hot-rolled steel plates by slab number in Example 1 of the full-process analysis method of the present invention;

[0031] Figure 5 Schematic diagram of the full-process production tracking tree for searching hot-rolled steel plates by bundle number in Example 2 of the full-process analysis method of the present invention;

[0032] Figure 6 Schematic diagram of the full-process production tracking tree for searching hot-rolled steel plates by steel plate number in Example 3 of the full-process analysis method of the present invention;

[0033] Figure 7 Schematic diagram of reverse tracking (left) and abnormality positioning (right) of hot-rolled steel plates in Example 4 of the full-process analysis method of the present invention. DETAILED DESCRIPTION

[0034] In order to better understand the above technical solutions of the present invention, the technical solutions of the present invention are further described below with reference to the accompanying drawings and embodiments.

[0035] Combine Figure 1 As shown, the present invention provides a full-process analysis method for hot-rolled steel plates. First, a visual interface is developed and the database is connected to the visual interface. At the same time, the data is organized according to the logic of the material number to form a preliminary hot-rolled steel plate full-process tracking tree; secondly, according to the actual situation of the data, discrete data and continuous data are spliced ​​according to certain rules; wherein the rules are arbitrary. Thirdly, the spliced ​​data is used to present it when clicking on each stage. Finally, when a problem steel plate is found, the problem steel plate number is input to trace the source of the anomaly and lock the location where the anomaly occurs. At the same time, the abnormal stage is determined based on the production process information of each stage of the traceability path and the corresponding abnormal parameters are confirmed to provide a reference for subsequent optimization. Specifically, the following steps are included:

[0036] S1, design a visual interface for tracking the entire process of hot-rolled steel plates and formulate tracking rules for the entire process of hot-rolled steel plates. Figure 2 As shown, it includes four functional areas (Zone 1 to Zone 4). Zone 1 is the search and query area, which primarily uses basic information parameters such as time and specifications as screening criteria to select the corresponding material numbers of each stage of hot-rolled steel plates for analysis. Zone 2 is the full-process material tracking tree drawing and analysis area, which mainly includes four modules: forward material full-process tracking of hot-rolled steel plates, reverse production process tracking, abnormal steel plate problem tracing, and product quality assessment of the same batch category, and all four modules can be switched at will. Zone 3 is the basic information display area for materials at each stage, mainly displaying information related to the specifications, contract status, and production quality of the selected materials. It should be noted that if a bundle is selected for the material, the steel plate numbers of all steel plates in the bundle will be displayed in sequence. Zone 4 is the visualization area for key process parameters and performance indicators. Common key process parameters and performance indicators include plate shape, rolling force, temperature, and full-process accuracy. In addition, this area also has a custom function that allows users to select key process parameters or indicators of interest for visualization. The four areas can more intuitively track and analyze the entire process of hot-rolled steel plates.

[0037] S2 integrates data from the entire hot-rolled steel plate process. Different data collection systems are used in different steps of the hot-rolling production process, and the strip steel is manipulated to varying degrees, leading to mismatches in data between previous and subsequent steps. Examples include head and tail trimming with a flying shear during finishing, head and tail reversal in multiple finishing passes, and discrete processing of steel coils by the shearing line. By organizing upstream and downstream data, continuous and discrete data are matched using common parameters. Parameters that are not easily affected by process changes, such as strip shape before and after shearing and rolling force, are typically selected for matching.

[0038] S3, build the material tracking tree for the entire process of hot-rolled steel plates. Figure 3 As shown in the figure, the system mainly combines production data information and uses a recursive algorithm to organize the inlet and outlet material numbers of each stage of the entire process from hot-rolled slab to hot-rolled product, generating and visualizing a material tracking tree for the entire process. At the same time, based on the completed material tracking tree, the following four modules are implemented:

[0039] 1) Forward tracking of strip steel: Select the forward tracking function. Based on the S3 full-process material tracking tree, simply enter the material number corresponding to any stage in Zone 1. This will visualize the material tracking process for that material, from hot-rolled slab to bundle, in Zone 2, highlighting the material's position in the full tracking process. At this point, Zone 3 will display all basic information about the material, including upstream and downstream numbers, its specifications, the process it is in, and its dimensions, weight, and other information. If the material is a bundle of steel plates, all the plate numbers under the bundle will be displayed in sequence.

[0040] 2) To achieve reverse tracking of the strip steel, select the reverse tracking function. Under the generation logic of the S3 full-process material tracking tree, find the corresponding export material of the previous stage through the import material number, realize the series connection of all stages of materials from the current production stage to the hot-rolled slab, complete the tracking of the reverse material flow, and realize visualization in the Zone 2 area.

[0041] 3) Traceability analysis of abnormal steel plates. Based on the implementation logic of reverse tracking of strip materials, for abnormal points, relevant process parameter data from the abnormal point to each stage of hot-rolled slabs are collected. Statistical analysis methods and machine learning methods are used to monitor the collected data for abnormalities, identify abnormal parameters, locate the stage where the abnormality occurs (i.e., the source of the abnormality), and ultimately achieve abnormal tracing.

[0042] 4) Quality assessment of products within the same batch category. Combining the full-process forward tracking tree for steel plates with anomaly traceability analysis, this system can locate anomalies and identify all material information associated with the current hot-rolled slab. Similarly, data analysis and mining technologies are used to conduct in-depth analysis of the process and quality parameters of all materials related to the anomaly point, enabling timely processing of problematic steel plates and optimization of corresponding processes.

[0043] The present invention's full-process analysis method aims to utilize data by developing a webpage and connecting it to a database. By inputting any hot-rolled steel plate production process number, a full-process tracking tree for the hot-rolled steel plate can be displayed. Furthermore, the method uses characteristic values ​​of key process indicators (such as plate shape and rolling force) to match discrete data (steel plate) with continuous data (hot-rolled coil). The matched data can be displayed on the webpage with a click, effectively achieving full-process tracking of the hot-rolled steel plate. Furthermore, for problematic steel plates, simply inputting the plate number allows for a reverse tracing back to the slab according to the rules, presenting all processes involved in the plate within the interface. Furthermore, the method can also present corresponding process parameter curves based on the problem description. This invention first analyzes the entire hot-rolled steel plate process, assessing the production quality of a batch of steel plates through a global presentation. Secondly, it can backtrack abnormal steel plates, identifying each stage they experienced and their corresponding location within the coil. Finally, it can determine the specific stage at which the abnormality occurred by integrating process parameters, while simultaneously combining forward tracing to analyze whether similar strips may have the same problem. The invention not only enables a panoramic and intuitive understanding of production, but also improves the analysis efficiency of the production process and saves labor costs.

[0044] Example 1

[0045] In this embodiment 1, the whole process of producing hot-rolled steel plate of BS800E steel grade is used as an example. A production tracking tree is built for the whole process of hot-rolled steel plate of this steel grade, and the corresponding performance indicators are analyzed. In the visual interface, the strip material number of any stage of the hot rolling process is input, such as the slab material number: 1311907610200, and the complete whole process tracking tree can be displayed. Figure 4 shown.

[0046] Example 2

[0047] In this embodiment 2, the whole process of producing hot-rolled steel plates of BS800E steel grade is used as an example. A production tracking tree is built for the whole process of hot-rolled steel plates of this steel grade, and corresponding performance indicators are analyzed. By inputting the strip material number of any stage of the hot rolling process in the visual interface, such as the bundle number: 1123010489, a complete full-process tracking tree can also be displayed, such as Figure 5 shown.

[0048] Example 3

[0049] In this embodiment 3, the whole process of producing hot-rolled steel plate of BS800E steel grade is used as an example. A production tracking tree is built for the whole process of hot-rolled steel plate of this steel grade, and the corresponding performance indicators are analyzed. In the visual interface, the strip material number of any stage of the hot rolling process is input, such as steel plate number: 1163003289, and the complete whole process tracking tree is still displayed. Figure 6 By clicking on any stage in the entire process, the corresponding basic information values ​​or key process parameter curves can be displayed, which greatly facilitates the analysis of the entire production process.

[0050] Example 4

[0051] In this embodiment 4, the whole process of producing hot-rolled steel plate of BS800E steel grade is used as an example. A production tracking tree is built for the whole process of hot-rolled steel plate of this steel grade, and the corresponding performance indicators are analyzed. By inputting the steel plate material number, a certain steel plate can be reversely tracked. Taking the steel plate material number: 1163003289 as an example, the reverse tracking is as follows: Figure 7 The process on the left is shown. In addition, reverse tracking can also be used to locate abnormal quality steel plates and determine the position of abnormal steel plates at each stage, such as Figure 7 On the right side, it is convenient for subsequent tracing.

[0052] By combining reverse tracking and anomaly location with forward full-process analysis, the cause of the anomaly can be analyzed. Quality analysis and process optimization can also be performed on the same batch of products containing the anomaly. This invention can analyze the entire hot-rolled steel process using data combined with experience, greatly improving the efficiency of analyzing various parameters throughout the process and accurately resolving process quality anomalies that occur during the production process.

[0053] The present invention connects a development visualization interface to a production database. By inputting the hot-rolled steel plate number to be analyzed in the interface, all production conditions of the corresponding hot-rolled slab can be obtained. All production information of each stage from the hot-rolled slab to the hot-rolled steel plate can be presented in the form of a tracking tree, facilitating the tracking of the entire hot-rolled steel plate production process. At the same time, anomaly tracing of problematic steel plates can also be performed. The analysis tool and method can correspond one-to-one with the actual production process, allowing for a clearer analysis of the entire hot-rolled steel plate production process, including each process step, the process parameters used in each process, and key quality indicators after each process. The production process status of each hot-rolled steel plate can be efficiently determined, further improving the efficiency of hot-rolled steel plate product performance analysis. In addition, the method also supports anomaly tracing. By using the abnormal hot-rolled steel plate number, the entire production process of the steel plate can be reversely traced. At the same time, the exact location of the steel coil corresponding to the steel plate anomaly is marked at the source of the steel plate, enabling timely identification of the anomaly point and further analysis, greatly improving the speed of subsequent anomaly detection and improving the efficiency of problem solving for users.

[0054] Those skilled in the art should recognize that the above embodiments are merely intended to illustrate the present invention and are not intended to limit the present invention. As long as they are within the spirit of the present invention, any changes or modifications to the above embodiments will fall within the scope of the claims of the present invention.

Claims

1. A full-process analysis method for hot-rolled steel plates, characterized in that: The following steps are involved: S1, design a visual interface for tracking the entire process of hot-rolled steel plates and formulate tracking rules for the entire process of hot-rolled steel plates; S2, data of the entire process of hot-rolled steel plates; S3, build a full-process material tracking tree for hot-rolled steel plates.

2. The full-process analysis method for hot-rolled steel plates according to claim 1, characterized in that: The visualization interface in step S1 includes a search and query function area, a full-process material tracking tree drawing and analysis function area, a basic information display area for materials at each stage, and a key process parameter and performance indicator visualization area.

3. The full-process analysis method for hot-rolled steel plates according to claim 2, characterized in that: The search query function area uses the basic information parameters of time and specifications as screening conditions to screen out the corresponding material numbers of the hot-rolled steel plates at various stages for analysis.

4. The full-process analysis method for hot-rolled steel plates according to claim 2, characterized in that: The full-process material tracking tree drawing and analysis functional area includes the forward material full-process tracking module of hot-rolled steel plates, the reverse production process tracking module, the abnormal steel plate problem tracing module and the product quality assessment module of the same batch category, and the modules can be switched at will.

5. The full-process analysis method for hot-rolled steel plates according to claim 2, characterized in that: The basic information display area for materials at each stage is used to display the specifications, contract status and production quality related information of the selected materials.

6. The full-process analysis method for hot-rolled steel plates according to claim 2, characterized in that: In the key process parameters and performance index visualization area, the key process parameters and performance indexes include plate shape, rolling force, temperature and full process accuracy; The key process parameters and performance index visualization area is also provided with a custom function, which enables the key process parameters or indicators of interest to be selected for visualization.

7. The full-process analysis method for hot-rolled steel plates according to claim 1, characterized in that: The step S2 specifically includes: By organizing upstream and downstream data, continuous data and discrete data are matched using common parameters; Select process parameters that are not easily changed with the process to match.

8. The full-process analysis method for hot-rolled steel plates according to claim 2, characterized in that: The step S3 specifically includes: Combined with production data information, a recursive algorithm is used to organize the inlet and outlet material numbers of each stage of the entire process from hot-rolled slab to hot-rolled products, and a material tracking tree for the entire process is generated and visualized.

9. The full-process analysis method for hot-rolled steel plates according to claim 8, characterized in that: Based on the construction of the full-process material tracking tree for hot-rolled steel plates, the following functions of the visualization interface are completed: 1) To achieve forward tracking of strip steel, enter the material number corresponding to any material in any stage in the search query function area. In the full-process material tracking tree drawing and analysis function area, visualize the material tracking of the entire process from hot-rolled slab to bundle, while highlighting the position of the material in the full-process tracking process. At this time, the basic information display area of ​​the material at each stage will display all the basic information of the material. 2) Realize reverse tracking of strip steel, find the corresponding exit material number of the previous stage through the entry material number, realize the serial connection of all stages of materials from the current production stage to the hot-rolled slab, complete the tracking of the reverse material flow, and realize visualization in the full process material tracking tree drawing and analysis function area; 3) Traceability analysis of abnormal steel plates: collect relevant process parameter data from the abnormal point to each stage of hot-rolled slabs, use statistical analysis methods and machine learning methods to monitor the collected data for abnormalities, identify abnormal parameters and locate the stage of abnormality, and achieve abnormality tracing; 4) Conduct quality assessments on products of the same batch category. Combining the full-process forward tracking tree of steel plates with the anomaly traceability analysis function, the anomaly point can be located while also locking all material information under the current hot-rolled slab. Utilize data analysis and mining technology to conduct in-depth analysis of the process parameters and quality parameters of all materials related to the anomaly point, promptly handle the problem steel plates, and optimize the corresponding processes.

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