现代信息科技2026，Vol.10Issue(7)：126-133,8.DOI:10.19850/j.cnki.2096-4706.2026.07.025
炼铁-炼钢界面铁运任务语音识别技术的研究与应用
Research and Application of Voice Recognition Technology for Iron Transport Tasks at the Iron-steel Interface
付凯艳 1郭峪坤 2林时敬 2赵磊2
作者信息
- 1. 唐山钢铁集团有限责任公司,河北 唐山 063000
- 2. 冶金自动化研究设计院有限公司,北京 100071||冶金智能制造系统全国重点实验室,北京 100071
- 折叠
摘要
Abstract
With the widespread application of intelligent technologies across various industries,the potential of speech recognition technology in steel production has gradually gained attention.Especially in the iron transport scheduling systems at the iron-steel interface,speech recognition technology not only significantly improves the efficiency of task formulation and execution but also reduces human errors,enhancing the accuracy of production scheduling.This paper proposes a speech recognition technology for iron transport tasks that combines the Paraformer speech recognition model and the GPT-2 semantic parsing model,aiming to efficiently convert dispatchers'instructions into actionable commands and automatically execute task scheduling.Through practical application in Tangsteel New Area,the system has significantly increased scheduling response speed,reduced errors caused by manual operations,and effectively enhanced the accuracy and efficiency of production scheduling tasks.This paper provides a detailed introduction to the model principles,architecture design,workflow,and application effects of this speech recognition technology,explores its vital role and future prospects in Tangsteel's iron transport scheduling,and offers practical support for the intelligent and green development of steel enterprises.关键词
钢铁企业/语音识别/铁钢界面/铁运调度/预训练语言模型Key words
steel enterprise/speech recognition/iron-steel interface/iron transport scheduling/pre-trained language model分类
信息技术与安全科学引用本文复制引用
付凯艳,郭峪坤,林时敬,赵磊..炼铁-炼钢界面铁运任务语音识别技术的研究与应用[J].现代信息科技,2026,10(7):126-133,8.
