热轧过程协同模拟与全流程工艺优化故障指标数据集

本数据集聚焦热轧过程故障诊断与溯源核心目标，支撑热轧过程协同模拟与全流程工艺优化软件故障控制指标验证，采集自鞍山钢铁有限公司2150mm、1780mm、1700mm三条热连轧生产线，容量20.65MB，时间覆盖2022-2025年。数据采集围绕故障全链条展开，涵盖断带故障、设备异常等关键故障的诊断模型数据、案例数据及成果佐证材料，包括故障监控数据、实测案例数据、溯源分析数据、质量异常偏差传递数据等核心数据，以及PDA记录曲线、故障诊断流程图、预处理记录等可视化与辅助数据。数据处理过程采用异常值过滤、缺失值填充、时间戳对齐、归一化等方法，通过真实性校验、完整性补全、关联性标注实施质量控制。数据集系统整合报告、论文、专利、图表合集、支撑数据等类型，形成完整数据链条，可直接支撑软件“降低断带/故障率≥20%”的考核指标验证，为热轧过程工艺优化、设备维护、故障诊断模型研发提供高质量数据支撑。This dataset focuses on the core objectives of fault diagnosis and traceability in the hot rolling process, and supports the verification of software fault control indicators for collaborative simulation and whole-process process optimization of hot rolling processes. It is collected from three hot continuous rolling production lines with specifications of 2150mm, 1780mm and 1700mm at Anshan Iron and Steel Co., Ltd., with a total data size of 20.65 MB and covering the period from 2022 to 2025. Data collection is carried out along the entire fault lifecycle, covering diagnostic model data, case data and supporting evidence materials for key faults such as strip breakage faults and equipment abnormalities, including core datasets such as fault monitoring data, on-site case data, traceability analysis data and quality anomaly deviation transmission data, as well as visual and auxiliary data such as PDA recording curves, fault diagnosis flowcharts and preprocessing records. The data processing workflow applies multiple methods including outlier filtering, missing value imputation, timestamp alignment and normalization, and implements quality control through authenticity verification, completeness supplementation and relevance annotation. This dataset systematically integrates various types of materials including reports, papers, patents, chart collections and supporting data, forming a complete data chain. It can directly support the verification of the assessment indicator of "reducing strip breakage/failure rate by ≥20%" for the supporting software, and provides high-quality data support for hot rolling process optimization, equipment maintenance and the development of fault diagnosis models.

搜集汇总

背景与挑战

背景概述

该数据集由鞍钢集团北京研究院有限公司创建，采集自鞍山钢铁有限公司的三条热连轧生产线，时间跨度为2022至2025年。它系统整合了热轧生产过程中各类故障（如断带、设备异常）的诊断、监控、溯源及质量偏差传递等核心数据，旨在为热轧过程的协同模拟、全流程工艺优化以及故障诊断模型的研发与验证提供高质量的数据支撑。