长流程炼钢生产全过程追溯数据

长流程炼钢全过程追溯数据资产完整覆盖转炉、LF、RH及连铸四大核心工序，集成1892条全流程生产记录与354项工艺参数，构建质量追溯与工艺优化的核心数据底座，通过整合质量跟踪，实现缺陷钢材分钟级根因定位与逆向追踪，支撑转炉终点命中率预测、RH脱碳效率优化等数字孪生模型开发，驱动炉龄预测与结晶器寿命评估，降低非计划停机风险，助力企业优化生产排程提高产品质量。

The full-process traceability data assets for long-process steelmaking comprehensively cover four core production processes: converter, LF, RH, and continuous casting. It integrates 1892 full-process production records and 354 process parameters, building a core data foundation for quality traceability and process optimization. By integrating quality tracking functions, it enables minute-level root cause localization and reverse tracing of defective steel products. It supports the development of digital twin models including converter endpoint hit rate prediction and RH decarbonization efficiency optimization, drives furnace age prediction and mold life assessment, reduces the risk of unplanned shutdowns, and helps enterprises optimize production scheduling and improve product quality.

搜集汇总

背景与挑战

背景概述

该数据集覆盖长流程炼钢的四大核心工序，包含1892条生产记录和354项工艺参数，主要用于质量追溯与工艺优化。数据支持智能分析模型构建，能快速定位质量缺陷根因并优化工艺，同时明确限定仅用于炼钢分析场景。