钢铁制造过程质量指标优化相关数据集

钢铁制造过程质量指标的优化需要异常和正常工况下的工艺参数、轧件参数、成品参数、轧机参数等。本数据集共包含两组数据文件，分别实现平直度、凸度质量指标优化和出口厚度精度优化，包括的工序为热轧精轧过程。平直度、凸度质量指标验证数据集时间范围是2023年1月1日01:37-2023年1月1日01:47，采样间隔是200 ms。出口厚度控制数据集时间范围是2019年2月17日01:07-2019年2月17日01:09，采样间隔是10 ms。结合相应算法应用本数据集，有利于提高产品质量和正常运行工况模型偏差构建功能等，为企业带来经济效益。Optimization of quality indicators in steel manufacturing processes necessitates the collection of process parameters, rolled piece parameters, finished product parameters, mill parameters, and other relevant data under both abnormal and normal operating conditions. This dataset consists of two groups of data files, which are respectively dedicated to the optimization of flatness and crown quality indicators and the optimization of exit thickness accuracy, covering the hot rolling finishing process. The time span of the flatness and crown quality indicator validation dataset is from 01:37 on January 1, 2023 to 01:47 on January 1, 2023, with a sampling interval of 200 ms. The time span of the exit thickness control dataset is from 01:07 on February 17, 2019 to 01:09 on February 17, 2019, with a sampling interval of 10 ms. Applying this dataset with corresponding algorithms can help improve product quality and the function of constructing model deviations under normal operating conditions, thereby bringing economic benefits to enterprises.

搜集汇总

背景与挑战

背景概述

该数据集专注于钢铁制造热轧精轧过程的质量指标优化，包含平直度与凸度优化、出口厚度精度优化两组数据文件，分别对应2023年和2019年的特定时间范围与毫秒级采样间隔。应用本数据集有助于提升产品质量和构建正常工况模型偏差功能，从而为企业带来经济效益。