钢铁制造过程性能优化相关数据集

制造过程多性能指标优化数据集的用途是验证制造过程“能耗-厚度-凸度”多个目标的优化功能。多性能优化数据集包括了多目标优化过程中常用的连续数据。具体包括连续的生产数据：活套张力、带钢长度、出口厚度、轧制速度、轧制力、辊缝等。辊速优化数据的用途是优化设定精轧过程的TVD曲线，提升终轧温度精度，减少总轧制时间。该数据集包括精轧过程升速和减速阶段的一级、二级轧制数据。具体包括带钢出口长度、F7机架的轧制力、F7机架带钢出口厚度、F7机架的轧制力矩、轧制速度等生产数据。跨层优化数据集的用途是优化设定精轧过程的工艺参数，提升出口厚度质量，减少企业能耗。该数据集为精轧过程的一级数据。包含带钢热连轧过程精轧设备传感器实时采集数据：工作辊速度、辊缝设定、出口厚度等。The multi-performance index optimization dataset for manufacturing processes is used to verify the multi-objective optimization capability of the manufacturing process targeting energy consumption, thickness and crown. The multi-performance optimization dataset contains continuous data commonly used in multi-objective optimization processes, specifically including continuous production data: looper tension, strip length, exit thickness, rolling speed, rolling force, roll gap, etc. The roll speed optimization dataset is designed to optimize the TVD curve setup for the finishing rolling process, improve the final rolling temperature accuracy, and reduce the total rolling time. This dataset covers Level 1 and Level 2 rolling data during the acceleration and deceleration phases of the finishing rolling process, including specific production data such as strip exit length, rolling force of F7 stand, exit thickness of strip at F7 stand, rolling torque of F7 stand, and rolling speed. The cross-layer optimization dataset is used to optimize the process parameter settings for the finishing rolling process, improve the exit thickness quality, and reduce the energy consumption of enterprises. This dataset consists of Level 1 data from the finishing rolling process, containing real-time collected data from sensors of finishing rolling equipment during the hot strip rolling process: work roll speed, roll gap setting, exit thickness, etc.

搜集汇总

背景与挑战

背景概述

该数据集专注于钢铁制造过程的性能优化，包含多性能指标优化、辊速优化和跨层优化三个部分，用于支持能耗、厚度和凸度等多目标优化以及工艺参数设定。数据涵盖连续生产数据，如活套张力、轧制力和传感器实时采集信息，旨在提升终轧温度精度、出口厚度质量并减少企业能耗。数据集由北京大学创建，属于国家重点研发计划项目，包含55个文件，总数据量为11.45MB。