Image intelligent processing system and method for metallurgical anode furnace

The image intelligent processing system automatically identifies and reconstructs metallurgical anode furnace production records, solving the problems of low information extraction efficiency and error-prone data entry, and achieving efficient and accurate data processing and archiving.

CN122416480APending Publication Date: 2026-07-17KUNMING UNIV OF SCI & TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
KUNMING UNIV OF SCI & TECH
Filing Date
2026-05-09
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The information extraction efficiency of metallurgical anode furnace production records is low, and data entry is prone to errors, making it difficult to meet the needs of industrial automation.

Method used

An intelligent image processing system is adopted, including modules for image acquisition, preprocessing, structured analysis, text and table recognition, and content integration and reconstruction. It uses deep neural networks and OCR technology to automatically identify and restore table and text data in metallurgical anode furnace record images, generating structured data.

Benefits of technology

It enables automatic parsing and structural reconstruction of metallurgical anode furnace production records, significantly reducing manual data entry costs and improving the efficiency and accuracy of data extraction, identification, archiving, and application.

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Abstract

本发明涉及冶金生产过程监控与工业图像智能识别技术领域,具体涉及一种用于冶金阳极炉的图像智能处理系统和方法,该系统包括:图像采集模块、图像读取与预处理模块、结构化分析模块、文本识别模块、表格识别模块、内容整合与重构模块和文本输出模块,可以基于冶金阳极炉冶炼过程中的记录数据生成工业记录图像;进而针对文本区域和表格区域进行识别提取信息,合并与重排后生成结构化数据,并生成和导出为电子文档。实现了冶金阳极炉生产记录的自动解析与结构还原,显著减少人工录入成本,提升数据提取、识别、归档和应用的效率与准确性。
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