数据驱动的炼化装置静设备防腐蚀集中监控系统研究
Research on Data-driven Centralized Anti-corrosion Monitoring System for Static Equipment in Refining and Chemical Plant
张艳玲 1马骏 2梁峰 3韩磊1
作者信息
- 1. 中石化安全工程研究院有限公司,山东青岛 266104
- 2. 中国石油化工股份有限公司科技部,北京 100728
- 3. 青岛炼油化工有限责任公司,山东青岛 266555
- 折叠
摘要
设备腐蚀是制约装置长周期安全运行的突出问题,且由于腐蚀过程复杂、影响因素众多,腐蚀检测人力成本高、水平参差不齐,数据孤岛现象普遍,难以从海量数据中及时准确发现腐蚀风险点.随着大数据、云计算、人工智能及 5G技术的发展,腐蚀防护技术与信息技术深度融合趋势进一步加快,在此背景下,以静设备专业防腐蚀业务需求为导向,设计开发了一套数据驱动的炼油装置静设备防腐蚀集中监控系统.介绍了系统设计的总体技术架构,以及原料监控、工艺防腐、腐蚀监检测、数据驱动模型、动态风险预警等 8个模块的主要功能.通过全面接入设备状态监测数据,深化腐蚀模型及预测功能,促进防腐管理从经验、制度驱动向数据、模型驱动转变,实现数据的综合利用、腐蚀风险分级管控和决策指导.
Abstract
Equipment corrosion is a prominent prob-lem that restricts the long-term safe operation of e-quipment.Due to the complex corrosion process,nu-merous influencing factors,high labor cost and une-ven level of corrosion detection,and widespread data island phenomenon,it is difficult to timely and accu-rately discover corrosion risk points from massive da-ta.With the development of big data,cloud compu-ting,artificial intelligence and 5G technology,the deep integration trend of corrosion protection technol-ogy and information technology was further acceler-ated.Under this background,a data-driven central-ized anti-corrosion monitoring system for refinery stat-ic equipment was designed and developed,guided by the professional anti-corrosion business needs of static equipment.The overall technical framework of the system design and the main functions of 8 modules such as raw material monitoring,process anticorro-sion,corrosion monitoring and testing,data-driven model and dynamic risk warning were introduced.Through full access to equipment condition monitoring data,the corrosion model and prediction function were deepened,and the anticorrosion management was promoted from experience and system driven to data and model driven,so as to realize the compre-hensive utilization of data,hierarchical corrosion risk management and decision-making guidance.
关键词
炼化装置/静设备/数据驱动/腐蚀监控系统/腐蚀防护Key words
refining and chemical plant/static e-quipment/data-driven/corrosion monitoring system/corrosion protection引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据