关键词: 工业互联网平台, 设备健康管理系统, 故障智能诊断, 大数据分析

Abstract: According to the characteristics of equipment management in petrochemical enterprises, this paper designs the architecture and functions of prognostics and health management system with edge layer, IaaS layer, PaaS layer and SaaS layer, which is based on the Open System Architecture for Condition Based Maintenance (OSA-CBM) and the architecture of industrial Internet platform, combined with industry Internet of things, intelligent fault diagnosis, big data analysis and other technologies. The system provides services to end users in the form of industrial kits and expert services. The results of the system have been applied to many large petrochemical enterprises, achieved good application results, reduced enterprise operation costs and promoted the reform of enterprise equipment management.

Key words: industrial internet platform, prognostics and health management system, intelligent fault diagnosis, big data analysis