摘要
为解决化工生产过程中多相液体界面接触式检测的难题,研究一种基于机器视觉的智能界面检测系统,可实现多相液体界面的外置非接触式检测,并研究界面检测算法的改进及数据集的构建。结果表明,系统的检测误差率仅为5.3%,模型精度达到86.3%,满足了工业应用的精确度要求和实时检测效果,且模型权重文件大小仅为13.6 MB,可在边缘计算设备上部署,在技术上具备了实时、精确、高效的特点,成功地为化工生产中的多相液体分液问题提供了创新的解决途径。
In order to address the challenge of contact-based detection of multiphase liquid interfaces in chemical production processes,an intelligent interface detection system based on machine vision was investigated.The system enables external non-contact monitoring of multiphase liquid interfaces and investigates improvements to interface detection algorithms along with the construction of a dedicated dataset.The results demonstrate that the system boasts a detection error rate of only 5.3%,with model accuracy reaching 86.3%,satisfying the precision and real-time detection requirements for industrial applications.Additionally,the model’s weight file is a mere 13.6 MB in size,allowing for deployment on edge computing devices.It is concluded that the system exhibits real-time,precise,and efficient characteristics,providing an innovative solution to the problem of liquid separation in multiphase systems within the chemical production industry.
作者
钱先锋
薛艺淳
丁蓓
杨诚
吴勇
QIAN Xianfeng;XUE Yichun;DING Bei;YANG Cheng;WU Yong(Institute for Intelligence&Emergency,Sinosteel Maanshan General Institute of Mining Research Co.,Ltd.,Sinosteel MIMR(Maanshan)Intelligency&Emergency Technology Co.,Ltd.,Ma’anshan 243000,Anhui,China)
出处
《科技和产业》
2024年第11期229-237,共9页
Science Technology and Industry
作者简介
钱先锋(1981-),男,安徽枞阳人,硕士,高级工程师,研究方向为化工安全;通信作者:薛艺淳(1998-),男,山西平遥人,硕士研究生,研究方向为智慧化工、机器视觉;丁蓓(1991-),男,安徽宣城人,硕士,中级工程师,研究方向为化工领域安全生产智能化;杨诚(1992-),男,安徽滁州人,硕士,中级工程师,研究方向为化工自动化;吴勇(1979-),男,四川武胜人,高级工程师,研究方向为化工及冶金工贸自动化控制系统集成。
