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作 者:夏时谦 周武 XIA Shiqian;ZHOU Wu(Hunan Hualing Yunchuang Digital Technology Co.,Ltd.,Changsha 410221,China;School of Information and Electrical Engineering,Hunan University of Science and Technology,Xiangtan 411201,China)
机构地区:[1]湖南华菱云创数智科技有限公司,湖南长沙410221 [2]湖南科技大学信息与电气工程学院,湖南湘潭411201
出 处:《冶金自动化》2025年第2期1-13,共13页Metallurgical Industry Automation
摘 要:当前,新型技术革命浪潮正全球范围内兴起,以人工智能、大数据及工业4.0等工业技术为代表,传统化工厂管控模式已无法满足数字化制造需求,钢铁工业中生产流程复杂且协同作业难度较大等典型问题逐渐凸显,企业也存在信息化水平不均衡及信息孤岛现象严重等现象。对此,基于数字孪生技术、物联网、机器学习及视频智能识别等新兴技术,对厂房及生产产线精准建模,接入视频画面、传感器监测数据、系统控制数据、外部图纸信息及管理系统等,实时展现产线设备状态与物料等信息,对产线内数据信息实现可视化联动,消除信息孤岛。同时采用人工智能算法将庞杂分散的视频画面融合拼接,将产线监控画面进行拼接,对于重点特定的大范围区域,以“一张图”形式实现实时监控。At present,a new wave of technological revolution is emerging globally,represented by industrial technologies such as artificial intelligence,big data and industry 4.0.The traditional chemical plant control model can no longer meet the needs of digital manufacturing.Typical problems such as complex production processes and difficulty in collaborative operations in the steel industry have gradually emerged.Enterprises also have uneven information levels and serious information island phenomena.In this regard,the factory and production line based on emerging technologies such as digital twin technology,internet of things,machine learning and video intelligent recognition,accesses video images,sensor monitoring data,system control data,external drawing information and management systems,and the status of production line equipment and materials in real time were established,visual linkage of data information within the production line was displayed,and information islands were eliminated.At the same time,artificial intelligence algorithms were used to merge and splice the complex and scattered video images,and splice the production line monitoring images.For large-scale key areas,real-time monitoring was achieved in the form of“one picture”.
关 键 词:数字孪生 工业互联网 人工智能 精益管理 三维可视化
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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