摘要
随着石油化工行业的快速发展,仪表自动化设备在工艺流程中的重要性日益凸显。针对石化企业仪表设备故障检测问题,提出了一种基于人工智能技术的故障智能检测方法。通过对系统设计原理、关键技术及实现过程的详细阐述,展示了该方法在提高仪表设备运行可靠性和生产安全性方面的优势。实验结果表明,该方法具有较高的准确率和良好的实时性,为石化企业安全生产提供了有力保障。该检测方法为故障检测技术的进一步发展奠定了基础,具有一定的理论价值和实际应用意义。
With the rapid development of the petrochemical industry,the importance of instrumentation and automation equipment in process has become increasingly evident.Aiming at the problem of detection of instrument equipment,a fault intelligent detection method based on artificial intelligence technology is proposed.By providing a detailed explanation of the system design principles,key technologies,and implementation process,the advantages of the method in improving the operation reliability and safety of instrumentation equipment production are demonstrated.The experimental results show that the method has high accuracy and good real-time performance,which provides a solid guarantee for safe production in petrochemical enterprises.The research lays a foundation for the further development of fault detection technology,and has both theoretical value and practical significance.
作者
孟庆丰
Meng Qingfeng(Fujian Refining&Petrochemical Company Limited,Quanzhou,362800,China)
出处
《石油化工自动化》
2025年第3期72-75,共4页
Automation in Petro-chemical Industry
关键词
石油化工
仪表自动化
故障检测
人工智能
可靠性
petrochemical industry
instrument automation
fault detection
artificial intelligence
reliability
