基于机器视觉的化工多相液态界面智能检测

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。

Intelligent Detection of Chemical Multiphase Liquid Interface Based on Machine Vision

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.