江西铜业股份有限公司基于计算机视觉的转炉造渣期终点智能判断方法与系统专利正式公布（人工智能+冶金自动化专利快讯）

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09/26

天眼查App显示，2025-09-26，“基于计算机视觉的转炉造渣期终点智能判断方法与系统”（patentName）正式进入专利的公布阶段。申请人为江西铜业股份有限公司，该项人工智能+冶金自动化专利涉及铜冶炼过程中转炉造渣终点的智能识别与判断场景。据专利信息显示，该技术通过构建图像数据集并训练智能预测模型，实现对实时铜渣图像的自动分析与终点预测，算法运行速度快，造渣终点预测召回率与准确率已达炼铜...

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's intelligent judgment method and system patent based on computer vision for the end point of converter slagging period was officially announced (Artificial Intelligence + Metallurgical Automation Patent News)","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"00358":1.5},"content_text":"天眼查App显示，2025-09-26，“基于计算机视觉的转炉造渣期终点智能判断方法与系统”（patentName）正式进入专利的公布阶段。申请人为江西铜业股份有限公司，该项人工智能+冶金自动化专利涉及铜冶炼过程中转炉造渣终点的智能识别与判断场景。据专利信息显示，该技术通过构建图像数据集并训练智能预测模型，实现对实时铜渣图像的自动分析与终点预测，算法运行速度快，造渣终点预测召回率与准确率已达炼铜专家水平，显著优化了传统人工判别方式。发明人为徐忆明;胡意文;丁洋东;黄鑫;陈俊;吴理鹏;刘飞;刘延平;匡顺根;胡涛;占建飞;李红象;李文彬。本发明实现取样—智能识别—展示全流程自动化，极大降低人力成本，提升生产安全性与智能化水平。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"1","news_tag":"productRelease","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"}}}