A steelmaking full-process digital intelligent quality monitoring system and method

Abstract

This invention relates to the technical field of procedural quality control and discloses a digital intelligent quality monitoring system and method for the entire steelmaking process. The system includes a full-process steelmaking information collection module, a full-process steelmaking quality simulation module, and a full-process steelmaking quality control module. Based on the characteristic information of steelmaking raw materials, the status information of steelmaking equipment, the steelmaking process information set of the target steelmaking stage, and the characteristic information of the steelmaking quality pre-simulation platform, and combined with the steelmaking management platform, it efficiently and dynamically executes the steelmaking quality pre-simulation operation of the target steelmaking stage, realizing intelligent pre-simulation of the steelmaking quality of specific steelmaking stages throughout the entire steelmaking process; it realizes real-time digital simulation of steelmaking quality based on the actual steelmaking production status; and it dynamically and reliably executes steelmaking quality control operations based on the optimal steelmaking quality control information and combined with the steelmaking management platform, achieving efficient response of steelmaking quality control and improving the reliability of steelmaking quality control.

Description

Technical Field

[0001] This invention relates to the technical field of procedural quality control, specifically to a digital intelligent quality monitoring system and method for the entire steelmaking process. Background Technology

[0002] Steelmaking process quality management refers to the systematic, standardized, and meticulous quality monitoring and improvement activities throughout the entire steel production process, from raw material intake to final product output. Its core objective is to ensure stable and reliable steel performance, meet stringent customer requirements, and enhance the company's competitiveness. Key aspects include: Raw material control: Strictly inspecting the composition, impurities, and physical state of molten iron, scrap steel, alloys, and auxiliary materials to ensure quality at the source. Smelting process control: Precisely controlling temperature, chemical composition, oxygen content, and endpoint hit rate in converter / electric furnace smelting. Refining control: Deeply desulfurizing, degassing, and removing inclusions through refining methods such as LF / RH / VOD, precisely fine-tuning composition and temperature to improve purity and uniformity. Continuous casting optimization: Controlling molten steel superheat, casting speed, and cooling intensity to prevent defects such as cracks, segregation, and inclusions, ensuring the internal and surface quality of the cast billet. Rolling process management: Precisely control heating temperature, rolling procedures, deformation amount, and cooling rate to ensure product dimensional accuracy, mechanical properties, and microstructure uniformity. Inspection and judgment: Sampling and testing throughout the entire process, using data to guide production in real time and conducting rigorous factory inspections. Traceability and improvement: Establish a full-process product quality data archive to achieve precise traceability; analyze the causes of quality fluctuations and continuously optimize process parameters and operating procedures. Existing steelmaking quality control processes cannot achieve steelmaking quality pre-simulation based on steelmaking raw material characteristics, steelmaking equipment status, and steelmaking process, nor can they intelligently and accurately control steelmaking quality based on the results of steelmaking quality pre-simulation.

[0003] Chinese invention patent CN110885912B, published on October 15, 2021, discloses an automated steelmaking method based on data analysis. The method includes: collecting raw material information before converter steelmaking, including scrap steel quality, molten iron quality, carbon content, and slag-forming material ratio; querying the smelting database for corresponding smelting operation modes and smelting results based on the raw material information; comparing different smelting operation modes and results to obtain the optimal smelting operation mode; the optimal smelting operation mode includes achieving acceptable final composition, acceptable temperature, and lowest cost; and generating control instructions for the steelmaking equipment using the optimal smelting operation mode, with the equipment then performing steelmaking according to the control instructions. This application obtains the optimal smelting operation mode by collecting raw material information in the converter in advance and using data analysis and comparison. However, the above technical solution cannot predict and simulate steelmaking quality during the steelmaking process, increasing the risk of steelmaking quality management. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] To address the existing problems in steelmaking quality control processes, such as the inability to perform pre-simulation of steelmaking quality based on the characteristics of steelmaking raw materials, the status of steelmaking equipment, and the steelmaking process, and the inability to intelligently and accurately control steelmaking quality based on the results of the pre-simulation, this paper aims to achieve the following objectives: dynamically acquiring information on steelmaking processes, the characteristics of steelmaking raw materials, and the status of steelmaking equipment; accurately selecting steelmaking process information; intelligently pre-simulating steelmaking quality; scientifically and dynamically selecting the optimal steelmaking process; and accurately controlling steelmaking quality throughout the entire process.

[0006] (II) Technical Solution

[0007] This invention is achieved through the following technical solution: a digital intelligent quality monitoring method for the entire steelmaking process, the method comprising the following steps:

[0008] S1. Collect information on the type of target steelmaking process, the characteristics of steelmaking raw materials, and the status of steelmaking equipment; based on the type of steelmaking process, search for the steelmaking process information required for the target steelmaking process to obtain the steelmaking process information for the target steelmaking process.

[0009] S2. Select the steelmaking quality simulation platform required for the pre-simulation of the target steelmaking process based on the type of steelmaking process, and obtain the characteristic information of the steelmaking quality pre-simulation platform; execute the steelmaking quality pre-simulation operation for the target steelmaking process and obtain the target steelmaking quality pre-simulation result information;

[0010] S3. Based on the steelmaking process type analysis, the steelmaking standard quality requirements information required for the target steelmaking process is obtained, the steelmaking standard quality information of the target steelmaking process is obtained, and the optimal steelmaking process matching process required for the target steelmaking process is performed to obtain the optimal steelmaking process information of the target steelmaking process.

[0011] S4. Construct the optimal control information for steelmaking quality and execute steelmaking quality control operations.

[0012] Preferably, the steps for collecting target steelmaking process type information, steelmaking raw material characteristic information, and steelmaking equipment status information, and then searching for the required steelmaking process information for the target steelmaking process based on the steelmaking process type, are as follows:

[0013] S11. Collect characteristic text information of specific steelmaking process links of the target steelmaking production line online through the steelmaking management platform, and obtain target steelmaking link type information, wherein the steelmaking link type includes raw material preparation link, ironmaking link, steelmaking link, ladle refining link, solidification and forming link, rolling link and finishing link; the target steelmaking link type information represents the text information of specific steelmaking link type in the entire steelmaking process, and the steelmaking management platform includes any one of the steelmaking manufacturing execution platform and the steelmaking enterprise resource planning platform;

[0014] The steelmaking management platform collects textual information on the characteristics of steelmaking raw materials used in the target steelmaking process online, and obtains steelmaking raw material characteristic information. The steelmaking raw material characteristic information includes any one or more of the following: sinter composition, coke quality parameters, pulverized coal composition, molten iron composition, molten iron temperature, solvent, initial composition of molten steel, initial temperature of molten steel, refining slag composition, deoxidizer, nitrogen concentration, molten steel composition, molten steel temperature, molten steel cleanliness, billet composition, billet size, billet quality, steel coil specifications, steel coil surface condition, and steel coil performance data.

[0015] The steelmaking management platform collects characteristic text information of specific steelmaking equipment used in the target steelmaking process online, and obtains the status information of the steelmaking equipment. The status information of the steelmaking equipment includes any one or more of the following: blast furnace hearth thermocouple temperature, blast furnace cooling wall temperature difference, blast furnace top pressure, hot blast stove dome temperature, blower air volume, converter oxygen pressure, converter oxygen flow rate, electric furnace current, electric furnace voltage, electrode current, ladle bottom blowing argon flow rate, wire feeder wire feeding speed, heating furnace air-fuel ratio, coiler coiling temperature, coiler tension, cold rolling mill plate roll data, straightening machine straightening roll reduction, and straightening machine roll type.

[0016] S12. Based on the target steelmaking process type information, search the steelmaking management platform for the specific steelmaking process text information used in the target steelmaking process type, and obtain the target steelmaking process information set. ,in Indicates the number of collections The target steelmaking process information refers to the standard steelmaking process steps and parameters set for the target steelmaking process stage.

[0017] Preferably, the following steps are taken to select the steelmaking quality simulation platform required for the pre-simulation of the target steelmaking process based on the type of steelmaking process, and obtain the characteristic information of the steelmaking quality pre-simulation platform; and to execute the steelmaking quality pre-simulation operation of the target steelmaking process and obtain the target steelmaking quality pre-simulation result information:

[0018] S21. Based on the target steelmaking process type information and the feature information matrix of the steelmaking quality simulation platform, perform the steelmaking quality simulation platform screening process required for the target steelmaking process quality pre-simulation to obtain the feature information of the steelmaking quality pre-simulation platform.

[0019] S22. Based on the steelmaking raw material characteristic information, the steelmaking equipment status information, the steelmaking process information set of the target steelmaking stage, and the steelmaking quality pre-simulation simulation platform characteristic information, perform the steelmaking quality pre-simulation operation of the target steelmaking stage and obtain the target steelmaking quality pre-simulation result information set.

[0020] Preferably, the steps for selecting the steelmaking quality simulation platform required for the pre-simulation of the target steelmaking process based on the target steelmaking process type information and the feature information matrix of the steelmaking quality simulation platform are as follows:

[0021] S211. Establish the feature information matrix of the steelmaking quality simulation platform. ,in Indicates the first The steelmaking quality simulation platform feature information corresponds to different steelmaking process types; the steelmaking quality simulation platform feature information represents the identity feature text information of the optimal steelmaking quality simulation platform set for different steelmaking process types; the steelmaking quality simulation platform feature information includes the name information, version information, and creation information of the steelmaking quality simulation platform; wherein the steelmaking quality simulation platforms include EDEM, Ludwigie, ANSYS Fluent, CFX, IDEAS, OpenFOAM, and DEFORM;

[0022] S212. Using a depth-first search algorithm, the target steelmaking process type information is compared with the feature information matrix of the steelmaking quality simulation platform. Feature information of the steelmaking quality simulation platform described in the article By performing keyword matching for steelmaking process types, the characteristic information of the steelmaking quality simulation platform corresponding to the target steelmaking process type information is retrieved. The data is then used to generate characteristic information for the steelmaking quality pre-simulation platform. This characteristic information represents the identity feature text information of the optimal steelmaking quality pre-simulation platform selected from the target steelmaking process stage types.

[0023] Preferably, the steps for performing a pre-simulation of the steelmaking quality of the target steelmaking stage and obtaining the target steelmaking quality pre-simulation result information set based on the steelmaking raw material characteristic information, the steelmaking equipment status information, the steelmaking process information set of the target steelmaking stage, and the steelmaking quality pre-simulation simulation platform characteristic information are as follows:

[0024] S221. Obtain the characteristic information of the steelmaking raw materials, the status information of the steelmaking equipment, and the steelmaking process information set of the target steelmaking stage. and the characteristic information of the steelmaking quality pre-simulation platform;

[0025] S222. The steelmaking management platform, based on the characteristic information of the steelmaking quality pre-simulation simulation platform, calls the corresponding steelmaking quality simulation platform from the database and starts running. After the steelmaking quality simulation platform starts running, it sets up the characteristic information of the steelmaking raw materials, the status information of the steelmaking equipment, and the steelmaking process information of the target steelmaking stage. Steelmaking process information of the target steelmaking stage described in the text to The data input dialog box for orderly importing into the steelmaking quality simulation platform executes the pre-simulation operation of the steelmaking quality of the target steelmaking process;

[0026] S223. Obtain the text information of the steelmaking quality simulation results generated by the steelmaking quality pre-simulation operation of the target steelmaking process through the steelmaking quality simulation platform run in step S222, and obtain the target steelmaking quality pre-simulation result information set. ,in This indicates the steelmaking process information of the target steelmaking stage. The corresponding target steelmaking quality pre-simulation result information includes any one or more of the following: hot metal composition quality simulation information, hot metal temperature quality simulation information, non-metallic component content quality simulation information, steel purity quality simulation information, billet surface characteristic quality simulation information, billet dimensional accuracy quality simulation information, steel size quality simulation information, steel surface characteristic quality simulation information, and steel plate shape and straightness quality simulation information.

[0027] Preferably, the steps for analyzing the required steelmaking standard quality information for the target steelmaking stage based on the type of steelmaking stage, obtaining the steelmaking standard quality information for the target steelmaking stage, and performing optimal steelmaking process matching processing to obtain the optimal steelmaking process information for the target steelmaking stage are as follows:

[0028] S31. Based on the target steelmaking process type information and the steelmaking standard quality requirement information matrix, analyze and process the steelmaking standard quality requirement information required for the target steelmaking process to obtain the steelmaking standard quality information for the target steelmaking process.

[0029] S32. Based on the steelmaking process information set of the target steelmaking stage, the pre-simulation result information set of the target steelmaking quality, and the standard quality information of the target steelmaking stage, perform the optimal steelmaking process matching process required for the target steelmaking stage to obtain the optimal steelmaking process information for the target steelmaking stage.

[0030] Preferably, the steps for analyzing and processing the steelmaking standard quality requirements information required for the target steelmaking stage based on the target steelmaking stage type information and the steelmaking standard quality requirement information matrix to obtain the target steelmaking stage steelmaking standard quality information are as follows:

[0031] S311. Establish a steelmaking standard quality requirements information matrix. ,in Indicates the first The steelmaking standard quality requirements information corresponds to different steelmaking process types; the steelmaking standard quality requirements information represents textual information on standard steelmaking quality requirements set for different steelmaking process types; the steelmaking standard quality requirements information includes any one or more of the following: hot metal composition quality requirements, hot metal temperature quality requirements, non-metallic component content quality requirements, molten steel purity quality requirements, billet surface characteristic quality requirements, billet dimensional accuracy quality requirements, steel size quality requirements, steel surface characteristic quality requirements, and steel plate flatness quality requirements;

[0032] S312. A bidirectional search algorithm is used to combine the target steelmaking process type information with the steelmaking standard quality requirement information matrix. Information on steelmaking standard quality requirements described in the document Perform character matching for steelmaking process type to search for the steelmaking standard quality requirements information corresponding to the target steelmaking process type information. And construct the steelmaking standard quality information for the target steelmaking process.

[0033] Preferably, the steps for performing optimal steelmaking process matching processing for the target steelmaking stage based on the target steelmaking process information set, the target steelmaking quality pre-simulation result information set, and the target steelmaking standard quality information to obtain the optimal steelmaking process information for the target steelmaking stage are as follows:

[0034] S321. Information set of pre-simulation results of the target steelmaking quality using the Aho-Corasick search algorithm. The target steelmaking quality pre-simulation results information described in the article According to the steelmaking process type number of the target steelmaking stage, the text information of the steelmaking quality requirements is matched with the standard quality information of the target steelmaking stage. The pre-simulation result of the target steelmaking quality is then searched to find the text information of the steelmaking quality requirements that best matches the standard quality information of the target steelmaking stage. The corresponding steelmaking process type number information for the target steelmaking stage is obtained, and the identity information of the optimal steelmaking process type for the target steelmaking stage is constructed.

[0035] S322, Combine the identity information of the optimal steelmaking process type of the target steelmaking stage with the steelmaking process information set of the target steelmaking stage. Steelmaking process information of the target steelmaking stage described in the text Perform text analysis on the steelmaking process type number of the target steelmaking stage to search for the steelmaking process information of the target steelmaking stage corresponding to the identity information of the optimal steelmaking process type of the target steelmaking stage. The optimal steelmaking process information for the target steelmaking stage is generated through data identification. The optimal steelmaking process information for the target steelmaking stage represents the current optimal steelmaking process information in the target steelmaking process stage type.

[0036] Preferably, the operational steps for constructing optimal steelmaking quality control information and executing steelmaking quality control operations are as follows:

[0037] S41. Combine and identify the target steelmaking process type information and the target steelmaking process optimal steelmaking process information to construct optimal steelmaking quality control information.

[0038] S42. Based on the optimal steelmaking quality control information, the steelmaking management platform controls the steelmaking equipment to perform steelmaking quality control operations according to the optimal steelmaking process information of the target steelmaking process in the specific steelmaking process links of the target steelmaking production line.

[0039] A digital intelligent quality monitoring system for the entire steelmaking process is provided to implement the aforementioned digital intelligent quality monitoring method for the entire steelmaking process. The system includes a whole-process steelmaking information collection module, a whole-process steelmaking quality simulation module, and a whole-process steelmaking quality control module.

[0040] The full-process steelmaking information collection module includes a steelmaking process information collection unit, a steelmaking raw material information collection unit, a steelmaking equipment status information collection unit, and a steelmaking process information search unit.

[0041] The steelmaking process information acquisition unit collects target steelmaking process type information through the steelmaking management platform; the steelmaking raw material information acquisition unit collects steelmaking raw material characteristic information through the steelmaking management platform; the steelmaking equipment status information acquisition unit collects steelmaking equipment status information through the steelmaking management platform; and the steelmaking process information search unit, based on the target steelmaking process type information and combined with the steelmaking process information of the target steelmaking process collected through the steelmaking management platform, searches for steelmaking process information of the target steelmaking process.

[0042] The full-process steelmaking quality simulation module includes a steelmaking quality simulation platform information storage unit, a steelmaking quality simulation platform screening unit, a steelmaking quality pre-simulation unit, a steelmaking quality pre-simulation result acquisition unit, a steelmaking standard quality requirement information storage unit, a steelmaking standard quality requirement analysis unit, and an optimal steelmaking process matching unit.

[0043] The steelmaking quality simulation platform information storage unit is used to store the characteristic information of the steelmaking quality simulation platform; the steelmaking quality simulation platform filtering unit performs steelmaking quality simulation platform filtering processing required for the pre-simulation of the target steelmaking process based on the target steelmaking process type information and the characteristic information of the steelmaking quality simulation platform, and obtains the characteristic information of the pre-simulation platform of the steelmaking quality simulation platform; the steelmaking quality pre-simulation unit performs the steelmaking quality pre-simulation operation of the target steelmaking process based on the steelmaking raw material characteristic information, the steelmaking equipment status information, the steelmaking process information set of the target steelmaking process, and the characteristic information of the pre-simulation platform of the steelmaking quality simulation platform, and in conjunction with the steelmaking management platform; the steelmaking quality pre-simulation result acquisition unit... The system comprises: a target steelmaking quality pre-simulation result information obtained based on the steelmaking management platform; a steelmaking standard quality requirement information storage unit for storing steelmaking standard quality requirement information; a steelmaking standard quality requirement analysis unit for analyzing and processing the steelmaking standard quality requirement information required for the target steelmaking stage based on the target steelmaking stage type information and the steelmaking standard quality requirement information, to obtain the target steelmaking stage steelmaking standard quality information; and an optimal steelmaking process matching unit for matching the optimal steelmaking process required for the target steelmaking stage based on the target steelmaking stage steelmaking process information, the target steelmaking quality pre-simulation result information, and the target steelmaking stage steelmaking standard quality information, to obtain the target steelmaking stage optimal steelmaking process information.

[0044] The full-process steelmaking quality control module includes a steelmaking quality optimal control information construction unit and a steelmaking quality control operation execution unit.

[0045] The steelmaking quality optimal control information construction unit performs data combination and identification processing based on the target steelmaking process type information and the optimal steelmaking process information of the target steelmaking process to construct the steelmaking quality optimal control information; the steelmaking quality control operation execution unit performs steelmaking quality control operations based on the steelmaking quality optimal control information and in conjunction with the steelmaking management platform.

[0046] (III) Beneficial Effects

[0047] This invention provides a digital intelligent quality monitoring system and method for the entire steelmaking process. It has the following beneficial effects:

[0048] First, the steelmaking management platform efficiently collects information on the type of target steelmaking process, the characteristics of steelmaking raw materials, and the status of steelmaking equipment, enabling point-to-point monitoring of the production status of specific steelmaking processes throughout the entire steelmaking process. Based on the target steelmaking process type information and combined with the steelmaking management platform's autonomous collection of all steelmaking process information for the target steelmaking process, data support is provided for achieving precise point-to-point control of steelmaking quality at specific steelmaking stages throughout the entire steelmaking process, thereby improving the quality of steelmaking quality management.

[0049] II. By intelligently selecting the steelmaking quality simulation platform required for the pre-simulation of the target steelmaking process based on the target steelmaking stage type information, combined with intelligent search algorithms and the characteristic information of the steelmaking quality simulation platform based on big data storage, the intelligent selection of the steelmaking quality pre-simulation platform for the entire steelmaking process is achieved. Based on the characteristic information of steelmaking raw materials, the status information of steelmaking equipment, the steelmaking process information set of the target steelmaking stage, and the characteristic information of the steelmaking quality pre-simulation platform, combined with the steelmaking management platform, the steelmaking quality pre-simulation operation of the target steelmaking stage is efficiently and dynamically executed, realizing the intelligent pre-simulation of the steelmaking quality of specific steelmaking stages throughout the entire steelmaking process; achieving the realization of steelmaking quality based on steelmaking reality. Real-time digital simulation of steelmaking quality in actual production status; improves the scientific nature of steelmaking quality management; accurately matches the required steelmaking standard quality requirements for the target steelmaking stage with the target steelmaking stage type information and intelligent recognition algorithm combined with the standard stored steelmaking standard quality requirements information, realizing the precise establishment of steelmaking standard quality requirements based on different steelmaking stages; scientifically and dynamically screens the optimal steelmaking process required for the target steelmaking stage based on the target steelmaking process information, the target steelmaking quality pre-simulation results information, and the target steelmaking standard quality information, realizing real-time and accurate prediction of the optimal steelmaking process throughout the entire steelmaking process, and improving the effectiveness of steelmaking quality management.

[0050] Third, by combining data processing with information on the type of target steelmaking process and the optimal steelmaking process for the target steelmaking process, optimal steelmaking quality control information can be collected in a timely and safe manner, thereby improving the response efficiency of steelmaking quality control. Based on the optimal steelmaking quality control information and combined with the steelmaking management platform, steelmaking quality control operations can be dynamically and reliably executed, thereby achieving efficient response of steelmaking quality control and improving the reliability of steelmaking quality control. Attached Figure Description

[0051] Figure 1 This invention provides a schematic diagram of a module for a fully digital intelligent quality monitoring system for the entire steelmaking process.

[0052] Figure 2 The flowchart of a digital intelligent quality monitoring method for the entire steelmaking process provided by the present invention. Detailed Implementation

[0053] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0054] An embodiment of the digital intelligent quality monitoring system and method for the entire steelmaking process is as follows:

[0055] Example

[0056] Please see Figures 1-2 A digital intelligent quality monitoring method for the entire steelmaking process, comprising the following steps:

[0057] S1. Collect information on the type of target steelmaking process, the characteristics of steelmaking raw materials, and the status of steelmaking equipment; based on the type of steelmaking process, search for the steelmaking process information required for the target steelmaking process to obtain the steelmaking process information for the target steelmaking process.

[0058] S2. Select the steelmaking quality simulation platform required for the pre-simulation of the target steelmaking process based on the type of steelmaking process, and obtain the characteristic information of the steelmaking quality pre-simulation platform; execute the steelmaking quality pre-simulation operation for the target steelmaking process and obtain the target steelmaking quality pre-simulation result information;

[0059] S3. Based on the steelmaking process type analysis, the steelmaking standard quality requirements information required for the target steelmaking process is obtained, the steelmaking standard quality information of the target steelmaking process is obtained, and the optimal steelmaking process matching process required for the target steelmaking process is performed to obtain the optimal steelmaking process information of the target steelmaking process.

[0060] S4. Construct the optimal control information for steelmaking quality and execute steelmaking quality control operations.

[0061] For further details, please refer to Figures 1-2 The steps for collecting information on the target steelmaking process type, raw material characteristics, and equipment status are as follows: Based on the steelmaking process type, the required steelmaking process information for the target steelmaking process is searched.

[0062] S11. Collect characteristic text information of specific steelmaking process links of the target steelmaking production line online through the steelmaking management platform, and obtain target steelmaking link type information. The steelmaking link types include raw material preparation, ironmaking, steelmaking, ladle refining, solidification and forming, rolling, and finishing. The target steelmaking link type information represents the text information of specific steelmaking link types in the entire steelmaking process. The steelmaking management platform includes either the steelmaking manufacturing execution platform or the steelmaking enterprise resource planning platform.

[0063] The steelmaking management platform collects textual information on the characteristics of steelmaking raw materials used in the target steelmaking process online, and obtains steelmaking raw material characteristic information. The steelmaking raw material characteristic information includes any one or more of the following: sinter composition, coke quality parameters, pulverized coal composition, molten iron composition, molten iron temperature, solvent, initial composition of molten steel, initial temperature of molten steel, refining slag composition, deoxidizer, nitrogen concentration, molten steel composition, molten steel temperature, molten steel cleanliness, billet composition, billet size, billet quality, steel coil specifications, steel coil surface condition, and steel coil performance data.

[0064] The steelmaking management platform collects characteristic text information of specific steelmaking equipment used in the target steelmaking process online, and obtains the status information of the steelmaking equipment. The status information of the steelmaking equipment includes any one or more of the following: blast furnace hearth thermocouple temperature, blast furnace cooling wall temperature difference, blast furnace top pressure, hot blast stove dome temperature, blower air volume, converter oxygen pressure, converter oxygen flow rate, electric furnace current, electric furnace voltage, electrode current, ladle bottom blowing argon flow rate, wire feeder wire feeding speed, heating furnace air-fuel ratio, coiler coiling temperature, coiler tension, cold rolling mill plate roll data, straightening machine straightening roll reduction, and straightening machine roll type.

[0065] S12. Based on the target steelmaking process type information, search the steelmaking management platform for the specific steelmaking process text information used in the target steelmaking process type, and obtain the target steelmaking process information set. ,in Indicates the number of collections The target steelmaking process information refers to the standard steelmaking process steps and parameters set for the target steelmaking process stage.

[0066] By coordinating the information collection units for steelmaking processes, raw materials, and equipment status, the steelmaking management platform efficiently collects information on the target steelmaking process type, raw material characteristics, and equipment status. This enables point-to-point monitoring of the production status of specific steelmaking stages throughout the entire steelmaking process. The steelmaking process information search unit, based on the target steelmaking process type information and combined with the steelmaking management platform's autonomous collection of all steelmaking process information for that process, provides data support for precise point-to-point control of steelmaking quality at specific stages, thereby improving the quality of steelmaking quality management.

[0067] For further details, please refer to Figures 1-2 The steps for selecting the steelmaking quality simulation platform required for the target steelmaking process based on the type of steelmaking process, obtaining the characteristic information of the steelmaking quality pre-simulation platform, and executing the steelmaking quality pre-simulation operation for the target steelmaking process and obtaining the target steelmaking quality pre-simulation results are as follows:

[0068] S21. Based on the target steelmaking process type information and the feature information matrix of the steelmaking quality simulation platform, perform the screening process for the steelmaking quality simulation platform required for the target steelmaking process quality pre-simulation, and obtain the feature information of the steelmaking quality pre-simulation platform.

[0069] S22. Based on the steelmaking raw material characteristic information, steelmaking equipment status information, steelmaking process information set of the target steelmaking link, and steelmaking quality pre-simulation simulation platform characteristic information, execute the steelmaking quality pre-simulation operation of the target steelmaking link and obtain the target steelmaking quality pre-simulation result information set.

[0070] The steps for selecting and processing the steelmaking quality simulation platforms required for the pre-simulation of the target steelmaking process based on the target steelmaking stage type information and the feature information matrix of the steelmaking quality simulation platform are as follows:

[0071] S211. Establish the feature information matrix of the steelmaking quality simulation platform. ,in Indicates the first The steelmaking quality simulation platform features information corresponding to different steelmaking process types; the steelmaking quality simulation platform features information represents the identity feature text information of the optimal steelmaking quality simulation platform set for different steelmaking process types; the steelmaking quality simulation platform features information includes the name information, version information, and creation information of the steelmaking quality simulation platform; the steelmaking quality simulation platforms include EDEM, Ludwigie, ANSYS Fluent, CFX, IDEAS, OpenFOAM, and DEFORM;

[0072] S212. A depth-first search algorithm is used to combine the target steelmaking process type information with the feature information matrix of the steelmaking quality simulation platform. Feature information of the China Steelmaking Quality Simulation Platform By performing keyword matching for steelmaking process types, the characteristic information of the steelmaking quality simulation platform corresponding to the target steelmaking process type information is retrieved. The data is then used to generate characteristic information for the steelmaking quality pre-simulation platform. This characteristic information represents the identity feature text information of the optimal steelmaking quality pre-simulation platform selected from the target steelmaking process stage types.

[0073] The steps for performing a pre-simulation of the steelmaking quality of the target steelmaking stage based on the characteristics of steelmaking raw materials, the status of steelmaking equipment, the steelmaking process information set of the target steelmaking stage, and the characteristics of the steelmaking quality pre-simulation platform are as follows:

[0074] S221. Obtain steelmaking raw material characteristic information, steelmaking equipment status information, and steelmaking process information set for the target steelmaking stage. Characteristic information of the steelmaking quality pre-simulation platform;

[0075] S222. The steelmaking management platform, based on the characteristic information of the steelmaking quality pre-simulation simulation platform, calls the corresponding steelmaking quality simulation platform from the database and starts running. After the steelmaking quality simulation platform starts running, it sets up the characteristic information of steelmaking raw materials, the status information of steelmaking equipment, and the steelmaking process information of the target steelmaking link. Steelmaking process information for the target steelmaking stage to The data input dialog box for orderly importing into the steelmaking quality simulation platform executes the pre-simulation operation of the steelmaking quality of the target steelmaking process;

[0076] S223. Obtain the text information of the steelmaking quality simulation results generated by the steelmaking quality pre-simulation operation of the target steelmaking process through the steelmaking quality simulation platform run in step S222, and obtain the target steelmaking quality pre-simulation result information set. ,in This indicates the steelmaking process information for the target steelmaking stage. The corresponding target steelmaking quality pre-simulation results information; the target steelmaking quality pre-simulation results information includes any one or more of the following: hot metal composition quality simulation information, hot metal temperature quality simulation information, steel non-metallic component content quality simulation information, steel purity quality simulation information, billet surface characteristic quality simulation information, billet dimensional accuracy quality simulation information, steel size quality simulation information, steel surface characteristic quality simulation information, and steel plate shape and straightness quality simulation information.

[0077] Based on the analysis of the steelmaking process type, the required standard quality information for the target steelmaking process is determined. The steps to obtain the optimal steelmaking process information for the target steelmaking process and perform optimal process matching are as follows:

[0078] S31. Based on the target steelmaking process type information and the steelmaking standard quality requirement information matrix, analyze and process the steelmaking standard quality requirement information required for the target steelmaking process to obtain the target steelmaking process steelmaking standard quality information.

[0079] S32. Based on the steelmaking process information set of the target steelmaking stage, the pre-simulation result information set of the target steelmaking quality, and the standard quality information of the target steelmaking stage, perform the optimal steelmaking process matching process required for the target steelmaking stage to obtain the optimal steelmaking process information for the target steelmaking stage.

[0080] The steps for analyzing and processing the steelmaking standard quality requirements information required for the target steelmaking stage based on the matrix of target steelmaking stage type information and steelmaking standard quality requirements are as follows:

[0081] S311. Establish a steelmaking standard quality requirements information matrix. ,in Indicates the first This refers to the steelmaking standard quality requirements information corresponding to different steelmaking process types. The steelmaking standard quality requirements information represents textual information about the standard steelmaking quality requirements set for different steelmaking process types. This information includes any one or more of the following: hot metal composition quality requirements, hot metal temperature quality requirements, non-metallic component content quality requirements, molten steel purity quality requirements, billet surface characteristic quality requirements, billet dimensional accuracy quality requirements, steel dimensional quality requirements, steel surface characteristic quality requirements, and steel plate flatness quality requirements.

[0082] S312. A bidirectional search algorithm is used to combine the target steelmaking process type information with the steelmaking standard quality requirement information matrix. Information on the quality requirements of China's steelmaking standards Perform character matching for steelmaking process types to search for the corresponding steelmaking standard quality requirements information. And construct the steelmaking standard quality information for the target steelmaking process.

[0083] The steps for matching the optimal steelmaking process required for the target steelmaking stage, based on the target steelmaking process information set, the target steelmaking quality pre-simulation result information set, and the target steelmaking standard quality information, are as follows:

[0084] S321. Information set of pre-simulation results of target steelmaking quality using the Aho-Corasick search algorithm. Information on the pre-simulation results of steelmaking quality in medium-scale target The steelmaking process type number of the target steelmaking stage is sequentially matched with the standard quality information of the target steelmaking stage to obtain the text information of the steelmaking quality requirements. The result of the pre-simulation of the target steelmaking quality is then retrieved based on the text information of the steelmaking process type number. The corresponding steelmaking process type number information for the target steelmaking stage is obtained, and the identity information of the optimal steelmaking process type for the target steelmaking stage is constructed.

[0085] S322, Combine the identity information of the optimal steelmaking process type of the target steelmaking stage with the steelmaking process information set of the target steelmaking stage. Steelmaking process information for the target steelmaking stage Text analysis of the steelmaking process type number of the target steelmaking stage is performed to search for the steelmaking process information of the target steelmaking stage corresponding to the identity information of the optimal steelmaking process type. The optimal steelmaking process information for the target steelmaking stage is generated through data identification. The optimal steelmaking process information for the target steelmaking stage represents the current optimal steelmaking process information in the target steelmaking process stage type.

[0086] The steelmaking quality simulation platform selection unit intelligently selects the steelmaking quality simulation platforms required for the pre-simulation of the target steelmaking process based on the target steelmaking stage type information, combined with an intelligent search algorithm and the characteristic information of the steelmaking quality simulation platform based on big data storage. This achieves intelligent selection of the steelmaking quality pre-simulation platform for the entire steelmaking process. The steelmaking quality pre-simulation unit and the steelmaking quality pre-simulation result acquisition unit cooperate with each other to efficiently and dynamically execute the steelmaking quality pre-simulation operation of the target steelmaking stage based on the steelmaking raw material characteristic information, steelmaking equipment status information, steelmaking process information set of the target steelmaking stage, and the characteristic information of the steelmaking quality pre-simulation platform, combined with the steelmaking management platform. This achieves intelligent pre-simulation of the steelmaking quality of specific steelmaking stages throughout the entire steelmaking process. The system enables real-time digital simulation of steelmaking quality based on actual steelmaking production conditions, improving the scientific nature of steelmaking quality management. A steelmaking standard quality requirement analysis unit accurately matches the required steelmaking standard quality requirements for the target steelmaking stage with the target steelmaking stage's type information and intelligent recognition algorithms, along with stored standard quality requirement information, to precisely establish steelmaking standard quality requirements for different steelmaking stages. An optimal steelmaking process matching unit scientifically and dynamically filters the optimal steelmaking process required for the target steelmaking stage based on the target steelmaking process information, the target steelmaking quality pre-simulation results, and the target steelmaking standard quality information, enabling real-time and accurate prediction of the optimal steelmaking process throughout the entire steelmaking process and improving the effectiveness of steelmaking quality management.

[0087] For further details, please refer to Figures 1-2 The operational steps for constructing optimal steelmaking quality control information and executing steelmaking quality control operations are as follows:

[0088] S41. Combine and label the target steelmaking process type information and the optimal steelmaking process information of the target steelmaking process to construct the optimal steelmaking quality control information.

[0089] S42. The steelmaking management platform controls specific steelmaking process links in the target steelmaking production line based on the optimal steelmaking quality control information. It controls the steelmaking equipment to perform steelmaking quality control operations according to the optimal steelmaking process information of the target steelmaking link.

[0090] The steelmaking quality optimal control information construction unit, based on the target steelmaking process type information and the optimal steelmaking process information, combined with data processing, timely and securely collects steelmaking quality optimal control information, thereby improving the response efficiency of steelmaking quality control. The steelmaking quality control operation execution unit, based on the steelmaking quality optimal control information and combined with the steelmaking management platform, dynamically and reliably executes steelmaking quality control operations, achieving efficient response of steelmaking quality control and improving the reliability of steelmaking quality control.

[0091] Example

[0092] Please see Figures 1-2 A digital intelligent quality monitoring system for the entire steelmaking process is used to implement a digital intelligent quality monitoring method for the entire steelmaking process. The system includes a whole-process steelmaking information collection module, a whole-process steelmaking quality simulation module, and a whole-process steelmaking quality control module.

[0093] The full-process steelmaking information collection module includes a steelmaking process information collection unit, a steelmaking raw material information collection unit, a steelmaking equipment status information collection unit, and a steelmaking process information search unit;

[0094] The steelmaking process information collection unit collects target steelmaking process type information through the steelmaking management platform; the steelmaking raw material information collection unit collects steelmaking raw material characteristic information through the steelmaking management platform; the steelmaking equipment status information collection unit collects steelmaking equipment status information through the steelmaking management platform; and the steelmaking process information search unit collects steelmaking process information for the target steelmaking process based on the target steelmaking process type information and in conjunction with the steelmaking management platform.

[0095] The full-process steelmaking quality simulation module includes a steelmaking quality simulation platform information storage unit, a steelmaking quality simulation platform screening unit, a steelmaking quality pre-simulation unit, a steelmaking quality pre-simulation result acquisition unit, a steelmaking standard quality requirement information storage unit, a steelmaking standard quality requirement analysis unit, and an optimal steelmaking process matching unit.

[0096] The system includes: a steelmaking quality simulation platform information storage unit for storing the platform's characteristic information; a steelmaking quality simulation platform screening unit for screening steelmaking quality simulation platforms required for pre-simulation of the target steelmaking process based on the target steelmaking stage type information and the platform's characteristic information; a steelmaking quality pre-simulation unit for executing pre-simulation operations of the target steelmaking stage based on raw material characteristic information, equipment status information, the target steelmaking process information set, and the platform's characteristic information, in conjunction with the steelmaking management platform; and a steelmaking quality pre-simulation result acquisition unit. The system utilizes a steelmaking management platform to acquire pre-simulation results of target steelmaking quality; a steelmaking standard quality requirement information storage unit stores steelmaking standard quality requirement information; a steelmaking standard quality requirement analysis unit analyzes and processes the steelmaking standard quality requirement information required for the target steelmaking process based on the target steelmaking process type information and the steelmaking standard quality requirement information to obtain the target steelmaking process standard quality information; and an optimal steelmaking process matching unit performs optimal steelmaking process matching processing for the target steelmaking process based on the target steelmaking process information, the target steelmaking quality pre-simulation results, and the target steelmaking process standard quality information to obtain the optimal steelmaking process information for the target steelmaking process.

[0097] The full-process steelmaking quality control module includes a steelmaking quality optimal control information construction unit and a steelmaking quality control operation execution unit;

[0098] The steelmaking quality optimal control information construction unit constructs steelmaking quality optimal control information by combining and identifying data based on the target steelmaking process type information and the optimal steelmaking process information of the target steelmaking process; the steelmaking quality control operation execution unit executes steelmaking quality control operations based on the steelmaking quality optimal control information and in conjunction with the steelmaking management platform.

[0099] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A digital intelligent quality monitoring method for the entire steelmaking process, characterized in that, The method includes the following steps: S1. Collect information on the type of target steelmaking process, the characteristics of steelmaking raw materials, and the status of steelmaking equipment; based on the type of steelmaking process, search for the steelmaking process information required for the target steelmaking process to obtain the steelmaking process information for the target steelmaking process. The operation steps of S1 are as follows: S11. Collect characteristic text information of specific steelmaking process links of the target steelmaking production line online through the steelmaking management platform, and obtain the target steelmaking link type information; The steelmaking management platform collects textual information on the characteristics of the steelmaking raw materials used in the target steelmaking process online, and obtains the characteristic information of the steelmaking raw materials. The steelmaking management platform collects characteristic text information of the steelmaking equipment used in the target steelmaking process online and obtains the status information of the steelmaking equipment. S12. Based on the target steelmaking process type information, search the steelmaking management platform for the specific steelmaking process text information used in the target steelmaking process type, and obtain the target steelmaking process information set. The include and ;in and Indicates the number of samples collected respectively species and first Information on steelmaking processes for the target steelmaking stage; S2. Select the steelmaking quality simulation platform required for the pre-simulation of the target steelmaking process based on the type of steelmaking process, and obtain the characteristic information of the steelmaking quality pre-simulation platform; execute the steelmaking quality pre-simulation operation for the target steelmaking process and obtain the target steelmaking quality pre-simulation result information; The operation steps of S2 are as follows: S21. Based on the target steelmaking process type information and the feature information matrix of the steelmaking quality simulation platform, perform the steelmaking quality simulation platform screening process required for the target steelmaking process quality pre-simulation to obtain the feature information of the steelmaking quality pre-simulation platform. S22. Based on the steelmaking raw material characteristic information, the steelmaking equipment status information, the steelmaking process information set of the target steelmaking stage, and the steelmaking quality pre-simulation simulation platform characteristic information, perform the steelmaking quality pre-simulation operation of the target steelmaking stage and obtain the target steelmaking quality pre-simulation result information set. S3. Based on the steelmaking process type analysis, the steelmaking standard quality requirements information required for the target steelmaking process is obtained, the steelmaking standard quality information of the target steelmaking process is obtained, and the optimal steelmaking process matching process required for the target steelmaking process is performed to obtain the optimal steelmaking process information of the target steelmaking process. S4. Construct the optimal control information for steelmaking quality and execute steelmaking quality control operations.

2. The method for digital intelligent quality monitoring of the entire steelmaking process according to claim 1, characterized in that: The operation steps of S21 are as follows: S211. Establish the feature information matrix of the steelmaking quality simulation platform. The include ;in Indicates the first Characteristic information of steelmaking quality simulation platforms corresponding to different types of steelmaking processes; S212. Using a depth-first search algorithm, the target steelmaking process type information is compared with the... The above Perform keyword matching for steelmaking process types to search for the information corresponding to the target steelmaking process type. The data is then used to generate characteristic information for the steelmaking quality pre-simulation platform.

3. The method for digital intelligent quality monitoring of the entire steelmaking process according to claim 2, characterized in that: The operation steps of S22 are as follows: S221, Obtain the characteristic information of the steelmaking raw materials, the status information of the steelmaking equipment, and the... and the characteristic information of the steelmaking quality pre-simulation platform; S222. The steelmaking management platform, based on the characteristic information of the steelmaking quality pre-simulation simulation platform, calls the corresponding steelmaking quality simulation platform from the database and starts running. After the steelmaking quality simulation platform starts running, it will display the steelmaking raw material characteristic information, the steelmaking equipment status information, and the... The above to The data input dialog box for orderly importing into the steelmaking quality simulation platform executes the pre-simulation operation of the steelmaking quality of the target steelmaking process; S223. Obtain the text information of the steelmaking quality simulation results generated by the steelmaking quality pre-simulation operation of the target steelmaking process through the steelmaking quality simulation platform run in step S222, and obtain the target steelmaking quality pre-simulation result information set. The include ;in Indicates the The corresponding target steelmaking quality pre-simulation results information.

4. The method for digital intelligent quality monitoring of the entire steelmaking process according to claim 3, characterized in that: The operation steps of S3 are as follows: S31. Based on the target steelmaking process type information and the steelmaking standard quality requirement information matrix, analyze and process the steelmaking standard quality requirement information required for the target steelmaking process to obtain the steelmaking standard quality information for the target steelmaking process. S32. Based on the steelmaking process information set of the target steelmaking stage, the pre-simulation result information set of the target steelmaking quality, and the standard quality information of the target steelmaking stage, perform the optimal steelmaking process matching process required for the target steelmaking stage to obtain the optimal steelmaking process information for the target steelmaking stage.

5. The method for digital intelligent quality monitoring of the entire steelmaking process according to claim 4, characterized in that: The operation steps of S31 are as follows: S311. Establish a steelmaking standard quality requirements information matrix. The include ;in Indicates the first Information on steelmaking standard quality requirements corresponding to each type of steelmaking process; S312. A bidirectional search algorithm is used to combine the target steelmaking process type information with the... The above Perform character matching for steelmaking process type to search for the target steelmaking process type information corresponding to the specified information. And construct the steelmaking standard quality information for the target steelmaking process.

6. The method for digital intelligent quality monitoring of the entire steelmaking process according to claim 5, characterized in that: The operation steps of S32 are as follows: S321, The Aho-Corasick search algorithm is used as described above. The above According to the steelmaking process type number of the target steelmaking stage, the text information of the steelmaking quality requirements is matched with the steelmaking standard quality information of the target steelmaking stage in an orderly manner. The text information that best matches the steelmaking quality requirements of the target steelmaking stage is then searched. The corresponding steelmaking process type number information for the target steelmaking stage is obtained, and the identity information of the optimal steelmaking process type for the target steelmaking stage is constructed. S322, Combine the identity information of the optimal steelmaking process type of the target steelmaking stage with the... The above Perform text analysis on the steelmaking process type number of the target steelmaking stage to search for the identity information corresponding to the optimal steelmaking process type of the target steelmaking stage. The optimal steelmaking process information for the target steelmaking stage is generated through data identification.

7. The method for digital intelligent quality monitoring of the entire steelmaking process according to claim 6, characterized in that: The operation steps of S4 are as follows: S41. Combine and identify the target steelmaking process type information and the target steelmaking process optimal steelmaking process information to construct optimal steelmaking quality control information. S42. Based on the optimal steelmaking quality control information, the steelmaking management platform controls the steelmaking equipment to perform steelmaking quality control operations according to the optimal steelmaking process information of the target steelmaking process in the specific steelmaking process links of the target steelmaking production line.

8. A digital intelligent quality monitoring system for the entire steelmaking process, used to implement the digital intelligent quality monitoring method for the entire steelmaking process as described in any one of claims 1-7, characterized in that: The system includes a full-process steelmaking information collection module, a full-process steelmaking quality simulation module, and a full-process steelmaking quality control module.

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