Abstract: In the process of promoting intelligent factories, large scale refining enterprises put forward an intelligent factory real-time information platform in view of many deficiencies of the existing real-time information systems. The real-time information platform through original data acquisition, analysis and processing from the production field, can make the enterprises to find the problems existing in production, to meet the demand for real-time control of intelligent plant integration data is accurate, safe, rapid and integrated management requirements. This paper introduces the key technology of real-time information platform, including the data model definition and task scheduling strategy, and a detailed description of the historical data archive related to compression technology; at the same time this paper analyzes the overall framework of the real-time information platform, and points out that the design is important for system performance control of its component model and concurrency; this paper focuses on the analysis of the commonly used applications such as flow chart, trend chart, production report and other technologies, and points out that the feasibility and advantages of B/S framework combined with flash technology to achieve the above functions based on. Finally, the application of the real-time information platform in a large-scale refinery enterprise is demonstrated. Large-scale refinery enterprise is demonstrated.

Key words: system integration, optimal design, system engineering

摘要： 大型炼化企业在推进智能工厂的建设过程中，针对现有实时信息系统的诸多不足提出了智能工厂实时信息平台。实时信息平台通过实时采集、分析、处理来自生产现场的原始数据，可以使得企业及时发现生产中存在的问题，满足了智能工厂一体化管控需求对实时数据准确、安全、快速集成与管理的要求。本文介绍了实时信息平台的关键技术，包括数据模型的定义和任务调度策略，同时详细说明了历史存档中数据压缩相关的技术；同时分析了实时信息平台的整体构架，指出其组件模型和并发访问控制设计对于系统性能的重要性；重点分析了常用应用如流程图、动态趋势图、生产报表等的技术实现，指出通过基于B/S框架结合Flash技术实现以上功能的可行性和优势。最后针对该实时信息平台在某大型炼化企业的应用，给出了实际的应用效果示范。

关键词: 系统集成, 优化设计, 系统工程