CN-121411370-B - Steelmaking full-flow digital intelligent quality monitoring system and method

CN121411370BCN 121411370 BCN121411370 BCN 121411370BCN-121411370-B

Abstract

The invention relates to the technical field of quality procedural control, and discloses a steel-making full-flow digital intelligent quality monitoring system and a method, wherein the system comprises a full-flow steel-making information collecting module, a full-flow steel-making quality simulation module and a full-flow steel-making quality control module; the method comprises the steps of carrying out high-efficiency dynamic execution of target steelmaking link steelmaking quality pre-simulation operation based on steelmaking raw material characteristic information, steelmaking equipment state information, target steelmaking link steelmaking process information set and steelmaking quality pre-simulation platform characteristic information, combining a steelmaking management platform, realizing intelligent pre-simulation of steelmaking quality of a specific steelmaking link in a steelmaking whole flow, realizing real-time digital simulation of steelmaking quality based on a steelmaking real production state, carrying out dynamic and reliable steelmaking quality control operation based on steelmaking quality optimal control information and combining the steelmaking management platform, realizing high-efficiency response of steelmaking quality control, and improving the reliability of steelmaking quality control.

Inventors

ZHOU XINDE
Yang Jiangjie
DENG ZIBO
ZHANG ZHIJIE
LI LEI
LI WEIJIE

Assignees

金鼎重工有限公司

Dates

Publication Date: 20260505
Application Date: 20251117

Claims (8)

1. The full-flow digital intelligent quality monitoring method for steelmaking is characterized by comprising the following steps of: S1, acquiring target steelmaking link type information, steelmaking raw material characteristic information and steelmaking equipment state information, searching out steelmaking process information required by a target steelmaking link based on the steelmaking link type, and obtaining the steelmaking process information of the target steelmaking link; the operation steps of the S1 are as follows: S11, acquiring characteristic text information of a specific steelmaking flow link type of a target steelmaking production line on line through a steelmaking management platform, and obtaining target steelmaking link type information; acquiring the characteristic text information of the steelmaking raw materials which are specifically used in the target steelmaking flow link on line through a steelmaking management platform, and obtaining the characteristic information of the steelmaking raw materials; Acquiring the characteristic text information of the steelmaking equipment which is specifically used in the target steelmaking flow link on line through a steelmaking management platform, and obtaining the state information of the steelmaking equipment; S12, searching out steel making process text information which is specifically used in the target steel making process link type in a steel making management platform based on the target steel making link type information, and obtaining a target steel making link steel making process information set The said Comprising And Wherein And Representing the respective acquired first Species and the first Steel making process information of a seed target steel making link; s2, screening out a steelmaking quality simulation platform required by target steelmaking link quality pre-simulation according to the steelmaking link type to obtain steelmaking quality pre-simulation platform characteristic information; The operation steps of the S2 are as follows: s21, screening the steelmaking quality simulation platform required by target steelmaking link quality pre-simulation according to the target steelmaking link type information and the steelmaking quality simulation platform characteristic information matrix to obtain steelmaking quality pre-simulation platform characteristic information; S22, executing steelmaking quality pre-simulation operation of a target steelmaking link based on the steelmaking raw material characteristic information, the steelmaking equipment state information, the target steelmaking link steelmaking process information set and the steelmaking quality pre-simulation platform characteristic information and obtaining a target steelmaking quality pre-simulation result information set; S3, analyzing steel-making standard quality requirement information required by a target steel-making link based on the type of the steel-making link, obtaining steel-making standard quality information of the target steel-making link, and carrying out optimal steel-making process matching treatment required by the target steel-making link to obtain optimal steel-making process information of the target steel-making link; s4, constructing steelmaking quality optimal control information and executing steelmaking quality control operation.
2. The method for intelligent quality monitoring of steel making full process according to claim 1, wherein the operation steps of S21 are as follows: s211, establishing a steelmaking quality simulation platform characteristic information matrix The said Comprising Wherein Represent the first The characteristic information of a steelmaking quality simulation platform corresponding to the type of the steelmaking link is obtained; S212, adopting a depth-first search algorithm to enable the target steelmaking link type information to be identical to the target steelmaking link type information The said in Matching the key words of the steelmaking link types, and searching out the corresponding key words of the target steelmaking link types And generating the characteristic information of the steelmaking quality pre-simulation platform through data identification.
3. The method for intelligent quality monitoring of steel making full process according to claim 2, wherein the step of S22 comprises the following steps: S221, acquiring the characteristic information of the steelmaking raw materials, the state information of steelmaking equipment and the steel-making equipment And the steelmaking quality pre-simulation platform characteristic information; S222, invoking a steelmaking quality simulation platform corresponding to the steelmaking quality pre-simulation platform characteristic information in a database to start operation based on the steelmaking quality pre-simulation platform characteristic information by a steelmaking management platform, and starting the steelmaking raw material characteristic information, the steelmaking equipment state information and the steelmaking quality simulation platform after starting operation The said in To the point of A data input dialog box of the steelmaking quality simulation platform is orderly imported to execute steelmaking quality pre-simulation operation of a target steelmaking link; s223, acquiring steelmaking quality simulation result text information generated by executing steelmaking quality pre-simulation operation of a target steelmaking link through a steelmaking quality simulation platform operated in the step S222, and obtaining a target steelmaking quality pre-simulation result information set The said Comprising Wherein Representing the said And corresponding target steelmaking quality pre-simulation result information.
4. The method for intelligent quality monitoring of steel making full process according to claim 3, wherein the operation steps of S3 are as follows: S31, analyzing and processing steelmaking standard quality requirement information required by a target steelmaking link based on the type information of the target steelmaking link and a steelmaking standard quality requirement information matrix to obtain steelmaking standard quality information of the target steelmaking link; s32, carrying out optimal steelmaking process matching treatment required by the target steelmaking link according to the target steelmaking link steelmaking process information set, the target steelmaking quality pre-simulation result information set and the target steelmaking link steelmaking standard quality information to obtain target steelmaking link optimal steelmaking process information.
5. The method for intelligent quality monitoring of steel making full process according to claim 4, wherein the step of S31 comprises the following steps: S311, establishing a steelmaking standard quality requirement information matrix The said Comprising Wherein Represent the first Steel-making standard quality requirement information corresponding to the type of the steel-making link; S312, adopting a bidirectional search algorithm to combine the target steelmaking link type information with the target steelmaking link type information The said in Performing steelmaking link type character matching, and searching out the corresponding target steelmaking link type information And constructing standard quality information of steelmaking in the target steelmaking link.
6. The method for intelligent quality monitoring of steel making full process according to claim 5, wherein the step of S32 comprises the following steps: s321, adopting ‌ Aho-Corasick searching algorithm to obtain the final product The said in According to the steel making process type number of the target steel making link, orderly matching steel making quality requirement text information with steel making standard quality information of the target steel making link, and searching out the text information which is most matched with the steel making quality requirement text information of the steel making standard quality information of the target steel making link Corresponding number information of the steelmaking process type of the target steelmaking link, and constructing identity information of the optimal steelmaking process type of the target steelmaking link; s322, the identity information of the optimal steelmaking process type of the target steelmaking link and the target steelmaking link are processed The said in Performing text analysis on the number of the steelmaking process type of the target steelmaking link, and searching out the identification information of the optimal steelmaking process type of the target steelmaking link And generating optimal steelmaking process information of the target steelmaking link through the data identification.
7. The method for intelligent quality monitoring of steel making full process according to claim 6, wherein the operation steps of S4 are as follows: s41, carrying out data combination identification processing on the type information of the target steelmaking link and the optimal steelmaking process information of the target steelmaking link, and constructing steelmaking quality optimal control information; s42, controlling a specific steelmaking flow link in a target steelmaking production line based on the steelmaking quality optimal control information by the steelmaking management platform, and controlling steelmaking equipment to execute steelmaking quality control operation according to the target steelmaking link optimal steelmaking process information.
8. A steel-making full-flow digital intelligent quality monitoring system is used for realizing the steel-making full-flow digital intelligent quality monitoring method according to any one of claims 1-7, and is characterized by comprising a full-flow steel-making information collecting module, a full-flow steel-making quality simulation module and a full-flow steel-making quality control module.

Description

Steelmaking full-flow digital intelligent quality monitoring system and method Technical Field The invention relates to the technical field of quality procedural control, in particular to a steel-making full-flow digital intelligent quality monitoring system and method. Background ‌ Steelmaking whole-flow quality management ‌ is used for performing systematic, standardized and refined quality monitoring and improvement activities on the whole process from raw material entering to final product leaving, and has the core aims of ensuring stable and reliable steel performance, meeting the severe requirements of customers and improving the competitiveness of enterprises. The key links of ‌ include ‌ ‌ material management and control, ‌ strictly checking the components, impurities and physical states of molten iron, scrap steel, alloy, auxiliary materials and the like, and ensuring source quality. ‌ control of smelting process, namely ‌ precisely controlling temperature, chemical composition, oxygen content and end hit rate in converter/electric furnace smelting. ‌ refining regulation, namely, ‌ deep desulfurization, degassing, inclusion removal and accurate fine adjustment of components and temperature by refining means such as LF/RH/VOD, thereby improving purity and uniformity. ‌ continuous casting optimization, namely ‌ controlling the superheat degree, the drawing speed and the cooling strength of molten steel, preventing defects such as cracks, segregation, inclusions and the like, and ensuring the internal quality and the surface quality of a casting blank. ‌ management of rolling process, namely ‌, precisely controlling heating temperature, rolling schedule, deformation and cooling rate, and ensuring the dimensional accuracy, mechanical property and tissue uniformity of the product. ‌ inspection and determination, namely ‌ through sampling and detection of the whole process, guiding production in real time by utilizing data and strictly leaving factory inspection, ‌ tracing and improvement, namely ‌, establishing a product whole process quality data file, realizing accurate tracing, analyzing quality fluctuation reasons, continuously optimizing process parameters and operation rules, wherein the existing steelmaking quality control process cannot realize steelmaking quality pre-simulation based on steelmaking raw material characteristics, steelmaking equipment states and steelmaking processes, and cannot intelligently and accurately control steelmaking quality based on steelmaking quality pre-simulation results. The Chinese patent publication No. CN110885912B and publication date 2021.10.15 discloses an automatic steelmaking method based on data analysis, which comprises the steps of collecting raw material information before converter steelmaking, wherein the raw material information comprises scrap steel quality, molten iron quality, carbon content and slag forming material proportion, inquiring smelting operation modes and smelting results corresponding to the raw material information in a smelting database according to the raw material information, comparing the smelting operation modes with the smelting results to obtain an optimal smelting operation mode, wherein the optimal smelting operation mode comprises that end point components are qualified, temperature is qualified and cost is lowest, generating a control instruction of steelmaking equipment by the optimal smelting operation mode, and steelmaking is carried out by the steelmaking equipment according to the control instruction. The application acquires the raw material information in the converter in advance and obtains the optimal smelting operation mode of the raw material information by adopting a data analysis and comparison mode, however, the technical scheme can not realize the prediction simulation of the steelmaking quality in the steelmaking process, and increases the risk of steelmaking quality management. Disclosure of Invention (One) solving the technical problems The method aims to solve the problems that the existing steelmaking quality control process cannot realize steelmaking quality pre-simulation based on steelmaking raw material characteristics, steelmaking equipment states and steelmaking processes, and cannot intelligently and accurately control steelmaking quality based on steelmaking quality pre-simulation results, and achieve the purposes of dynamically acquiring steelmaking link information, steelmaking raw material characteristic information and steelmaking equipment state information, accurately selecting steelmaking process information, intelligently pre-simulating steelmaking quality, scientifically and dynamically screening optimal steelmaking processes and accurately controlling steelmaking quality in a whole flow. (II) technical scheme The invention is realized by the following technical scheme that the full-flow digital intelligent quality monitoring method for steelmaking comprises the following steps: S1, a