基于数字孪生和AI视觉识别技术的加热炉智能巡检系统的研究  

Research on Intelligent Inspection System for Heating Furnace Based on Digital Twin and AI Visual Recognition Technology

作　　者：孔淑梅[1] 周国贞 KONG Shu-mei;ZHOU Guo-zhen(Guangdong Songshan Polytechnic College,Shaoguan,Guangdong,512126,P.R.China)

机构地区：[1]广东松山职业技术学院,广东韶关512126

出　　处：《南方金属》2025年第2期73-75,81,共4页Southern Metals

基　　金：2023年广东省普通高校特色创新项目-《基于数字孪生和AI视觉识别技术的加热炉智能巡检系统的研究》的阶段性研究成果(编号2023KTSCX270)。

摘　　要：基于释放钢铁企业加热炉巡检工作的人力投入,最大程度保障巡检作业安全,提高巡检效率,为监管部门提供数字化的管理系统等目的,采用数字孪生、AI视觉识别、物联网、云计算等前沿技术,本文研究设计了一套钢铁企业加热炉智能、现场、远程三种巡检方式融合的全新智能巡检系统。通过AI视觉识别技术,对加热炉的检修点状态进行实时的检测、识别,结合实时数据驱动的数字孪生三维模型,达到虚实交换实时同步的状态,构建供管理者宏观整体的现场观察以及供巡检人员的远程空间感知体系。To reduce the human input in the inspection work of heating furnaces in steel enterprises,ensure the safety of inspection operations to the greatest extent,improve inspection efficiency,and provide a digital management system for regulatory authorities,this paper studies and designs a new intelligent inspection system that integrates on-site,remote and intelligent inspection methods for heating furnaces in steel enterprises by adopting cutting-edge technologies such as digital twins,AI visual recognition,Internet of Things,and cloud computing.Through AI visual recognition technology,the status of maintenance points of the heating furnace is detected and identified in real time,combined with real-time data to drive the three-dimensional model of digital twins,achieving a state of real-time synchronization of virtual and real interaction,and building a system for managers to conduct macroscopic and overall on-site observation and for inspectors to have remote spatial perception.

关 键 词：数字孪生 AI视觉识别 加热炉 智能巡检系统 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]