CN-121975986-A - Self-adaptive charging method for converter

Abstract

The invention relates to the technical field of metallurgical steelmaking, in particular to a converter self-adaptive charging method, which comprises the steps of identifying the material name, the type, the bin position and the bin number of a high-level bin through a high-level bin identification module, freely adding/deleting/changing/checking/charging material sheets through a material sheet management module, determining the material type and the total amount of charging materials, distributing the material type and the total amount of charging materials to the identified set values of corresponding high-level bins according to the charging material sheets, and completing charging according to charging time set by the charging material sheets in the blowing process. The automatic feeding system has the advantages that the change of the bin with the high material level can be self-adapted by traversing the existing bin names and matching the pre-stored bin names and corresponding types, the system can automatically identify the change of the types and positions of materials in the bin, and the feeding strategy can be automatically adjusted without manually modifying a program, so that the feeding error problem caused by bin adjustment in the traditional mode is effectively solved, and the production reliability is remarkably improved.

Inventors

• ZHENG CHUANXIN
• LI QUAN
• Ma Shizeng
• CUI ZHIREN
• SHI CHUNWEI
• GAO LISHU
• YU DAFENG
• LIU WENTAO

Assignees

• 本钢板材股份有限公司

Dates

Publication Date

20260505

Application Date

20251219

Claims (9)

1. 1. The converter self-adaptive charging method is characterized by comprising the following steps of: s1, dividing the charging material into slag making materials, repairing materials, cooling materials and iron-containing materials; s2, identifying the material name and the material type of the high-level bin, the bin positions and the bin number of the high-level bin by a high-level bin identification module; S3, freely adding/deleting/changing/checking/feeding bill by using a bill management module, wherein the bill management module is used for adding corresponding feeding quantity at a set feeding time; s4, before converter steelmaking blowing, determining the types and the total amount of the materials according to the molten iron components, the weight and the target steel grade components; s5, distributing the feeding material types and the total amount to the identified set values of the corresponding high-level bins according to the feeding material list; and S6, the blanking control module shakes materials according to the set value of the corresponding high-level bin, and charging is completed according to charging time set by a charging bill in the converting process.
2. 2. The converter self-adaptive charging method according to claim 1, further comprising the steps of carrying out classified accumulation by utilizing a material classification statistical module according to the returned weight value after charging after the converter charging is completed, and returning the accumulated result to a steelmaking model system for heat balance and alkalinity calculation.
3. 3. The self-adaptive converter feeding method according to claim 1, wherein in the step S1, the slag forming material comprises slaked lime, lime and active ash, the supplementing material comprises dolomite, raw dolomite, magnesite and light burned dolomite, the cooling material comprises limestone and bluestone, and the iron-containing material comprises return ores, pellets, iron ores, slag and iron sheet briquettes.
4. 4. The converter self-adaptive charging method according to claim 1, wherein in S3, the charging list management module is a relational database, and the identifier of each charging list is associated with a corresponding steel grade.
5. 5. The converter self-adaptive charging method according to claim 1, wherein in S4, the charging material type and total amount are determined according to the molten iron composition, weight and target steel type composition, and the method comprises the steps of calculating the types and the amounts of the slag former, the repairing mass, the cooling mass and the iron-containing mass required by analyzing the content and the temperature of carbon, silicon, manganese, sulfur and phosphorus in the molten iron and combining a steelmaking model.
6. 6. The converter self-adaptive charging method according to claim 1, wherein in S2, the bin identification module is used for identifying material type information and a bin position of an existing high-level bin.
7. 7. The adaptive charging method according to claim 1, wherein in S3, the charging order management module is configured to store and manage charging orders.
8. 8. The adaptive charging method according to claim 1, wherein in S6, the blanking control module is configured to perform the operations of vibrating and charging according to a bill of material.
9. 9. The self-adaptive converter charging method according to claim 2, wherein the material classification and statistics module is used for carrying out classification and statistics on the charged weight.

Description

Self-adaptive charging method for converter Technical Field The invention relates to the technical field of metallurgical steelmaking, in particular to a converter self-adaptive feeding method. Background In the converter steelmaking process, charging operation is one of key links, and directly influences molten steel quality, production efficiency and energy consumption level. The traditional feeding mode is mainly divided into an artificial mode and an automatic mode: Manual mode: operators need to manually select a high-level bin to shake and weigh, and judge the charging time and quantity according to experience in the steelmaking period; After each charging, the system only returns the actual charging weight of each bin, but cannot automatically classify and count the total amount of different furnace charges; Relying on manual intervention, the efficiency is low, mistakes are easy to occur, and the intelligent production requirement is difficult to adapt. Automatic mode: the type of the furnace burden of the high-level bin is fixed, and the system automatically completes vibration, weighing and feeding according to the preset feeding weight and oxygen step (converting stage); The individual weight of each bin is returned after charging, but if the bin type is changed (such as bin position change), the system cannot automatically identify, and statistical errors are caused. For example, after the storage bins of dolomite and lime are exchanged, the system still calculates the total amount according to the original logic, and causes the calculation deviation of key parameters such as heat balance, alkalinity and the like. The conventional charging mode, see fig. 1, has the following problems: the bin has poor adaptability, namely when the type or position of the burden of the high-level bin is changed, if 5 bin dolomite and 6 bin lime are changed into 5 bin lime and 6 bin dolomite, once the change is carried out, software is required to be adjusted and maintained, otherwise, automatic feeding is easy to add mistakes to cause quality accidents; The traditional system can only return the charging weight of each bin, can not be automatically classified and accumulated according to the types of furnace charges (such as slag-making materials, iron-containing materials and the like), and after the types of high-level bins are changed, such as 5 bins and 6 bins are exchanged, the total adding amount of dolomite is calculated, the total adding amount of the furnace charges can be wrongly identified and calculated, so that the calculated value in intelligent steelmaking can not be accurately calculated, and the accuracy of heat balance and alkalinity calculation is affected; The flexibility is insufficient, the charging rule depends on fixed oxygen steps or secondary system transmission, the process is frequently modified during process adjustment, and the dynamic requirement of intelligent production is difficult to meet. In the prior art, the application number is 201410179509.7, which discloses a converter charging automatic control method and system, comprising the following steps: setting each smelting stage corresponding to each steel type in advance and adding proportion data of each material in each smelting stage, namely calculating the total adding amount of the furnace material through a static smelting model of the converter; According to the type of the steel type currently smelted, calculating the feeding weight of each material in each stage by combining the material feeding proportion data of each smelting stage corresponding to each steel type and the total feeding amount of each material calculated through a static smelting model of the converter; collecting the current converter smelting stage, and downloading the weight of the materials to be added in the next stage and the information of the materials to be added in the current stage to a PLC; According to the data downloaded from the PLC, weighing and feeding are carried out, firstly, a valve of a collecting hopper is opened, the materials to be added needed in the stage are correspondingly added into the converter, then, a high-level bin is controlled to weigh the materials to be added in the next stage and collect the materials into the collecting hopper. Disclosure of Invention The invention aims to provide a converter self-adaptive feeding method which needs to adapt to material variety change of a high-level material bin and classify various materials of the high-level material bin so as to meet the requirement of one-key steelmaking. In order to achieve the above purpose, the present invention is realized by the following technical scheme: The converter self-adaptive charging method specifically comprises the following steps: s1, dividing the charging material into slag making materials, repairing materials, cooling materials and iron-containing materials; s2, identifying the material name and the material type of the high-level bin,