热轧过程协同模拟与全流程工艺优化尺寸指标数据集

本数据集聚焦热轧过程三维尺寸精准控制核心目标，为支撑相关软件三维尺寸控制指标验证与达标而构建，涵盖厚度、宽度、板凸度、横截面形状等关键尺寸参数的预测模型数据、验证数据及成果佐证材料，容量694.49MB。数据来源于鞍山钢铁有限公司2150mm、1780mm、1700mm三条热连轧生产线，采集时间范围为2022年11月—2025年10月，核心包含输入参数数据（带钢化学成分、坯料规格、轧制工艺参数、设备配置参数）、输出实测数据（带钢各部位关键尺寸实测值及动态反馈数据）、模型关联数据（二级设定值、中间计算结果及参数调优记录）三类关键信息。数据采集后经异常值过滤、稳态筛选、时间戳对齐、一致性校验等多维度质量控制流程，最终形成结构化扁平表格数据。本数据集采用机理-数据融合的人工智能建模方法，可直接支撑软件“厚度命中率≥98%、宽度命中率≥97%、板凸度命中率≥95%”的考核指标验证，同时为热轧工艺优化、尺寸波动规律分析提供高质量数据支撑，具有重要的工业应用价值与学术参考意义。

This dataset focuses on the core goal of precise 3D dimension control during hot rolling processes, and was developed to support the verification and attainment of 3D dimension control indicators for relevant software. It covers predictive model data, validation data, and achievement supporting materials for key dimensional parameters including thickness, width, strip crown, cross-sectional shape, etc., with a total size of 694.49 MB. The data is sourced from three hot continuous rolling production lines with specifications of 2150mm, 1780mm, and 1700mm at Anshan Iron and Steel Co., Ltd., and the data collection period spans from November 2022 to October 2025. It mainly includes three types of core information: input parameter data (chemical composition of the steel strip, billet specifications, rolling process parameters, equipment configuration parameters), on-site measured output data (measured values of key dimensions at each position of the steel strip and dynamic feedback data), and model-related data (Level 2 setpoints, intermediate calculation results, and parameter tuning records). After collection, the data undergoes multi-dimensional quality control procedures including outlier filtering, steady-state screening, timestamp alignment, and consistency verification, and is finally formatted into structured flat tabular data. This dataset adopts a mechanism-data hybrid artificial intelligence modeling approach, which can directly support the verification of the software's assessment indicators: "thickness hit rate ≥98%, width hit rate ≥97%, strip crown hit rate ≥95%". Meanwhile, it provides high-quality data support for hot rolling process optimization and dimensional fluctuation pattern analysis, holding significant industrial application value and academic reference significance.

搜集汇总

背景与挑战

背景概述

该数据集聚焦热轧过程三维尺寸精准控制，涵盖厚度、宽度、板凸度等关键尺寸参数的预测模型、验证数据及佐证材料，容量694.49MB，数据来源于鞍山钢铁有限公司的三条热连轧生产线，采集时间范围为2022年11月至2025年10月。数据集采用机理-数据融合的人工智能建模方法，用于支撑软件指标验证（如厚度命中率≥98%）和热轧工艺优化，具有重要的工业应用价值和学术参考意义，属于国家重点研发计划项目。