基于S7-400冗余的LNG气化站监控系统的研究

发布时间：2018-02-27 21:20

本文关键词： LNG气化站监控系统冗余数据管理安全预警　出处：《天津科技大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着环境污染问题越来越受到重视,LNG (LiquefiedNatural Gas)作为一种清洁能源受到越来越多企业的青睐。由于LNG具有易燃、易爆的特点,LNG气化站安全等级要求很高。因此,构建冗余的LNG气化站自动化监控系统,根据监控系统储存的大量过程数据,进行数据管理研究,搭建数据管理平台;进而探讨过程数据与安全预警之间的关系,实现安全等级的实时预测,对保证LNG气化站的安全运行具有重要意义。本课题以津热集团北辰供热公司的LNG气化站为研究对象,在了解我国LNG气化站的发展现状和国内外工业监控系统发展现状的基础上,通过分析LNG气化过程特点和关键参数,设计了 LNG气化站测控方案;通过分析LNG气化站监控的需求,构建了基于PC+PLC的、冗余的LNG气化站监控系统架构。同时完成了 PLC系统的硬件设计。完成了基于WinCC的LNG气化站监控软件开发与数据开放技术研究。利用WinCC组态软件开发平台研究开发LNG气化站运行过程监控软件,实现流程查看、远程操作、实时数据显示、报警显示和查询、操作记录显示和查询和用户管理等功能。调试结果表明,以上功能均运行良好。研究开放的LNG气化站实时数据采集和存储技术,完成了过程类数据和操作类数据的存储,为数据管理和分析平台的研究与开发奠定基础。进行了面向安全的数据管理平台的研究与开发。通过研究LNG气化站监控系统的数据库特点,采用C#语言进行数据管理平台开发,实现了过程类、操作类和报警等历史数据的查询。通过分析与LNG气化站安全等级之间存在关联的过程参数,利用模糊控制理论得到可燃气体浓度、环境温度与集液池温度之差和LNG气化站安全等级之间的关系模型,并结合数据库和查询表实现了对LNG气化站安全等级的实时预测,调试结果表明采用多参数模糊综合预警可提高预警的时效性和准确性。本系统已在津热集团北辰供热公司的LNG气化站实际运行,系统运行良好;监控软件和数据管理平台界面友好,功能合理,能够满足LNG气化站的需求。
[Abstract]:As more and more attention has been paid to the problem of environmental pollution, as a kind of clean energy, LNG has attracted more and more attention from enterprises. Because of its flammable and explosive characteristics, LNG gasification station requires high safety grade. The redundant automatic monitoring system of LNG gasification station is constructed. According to a large number of process data stored in the monitoring system, the data management platform is built, and the relationship between process data and security early warning is discussed. The realization of real-time prediction of safety grade is of great significance to ensure the safe operation of LNG Gasification Station. This paper takes the LNG Gasification Station of Beichen heating Company of Tianjin Heat Group as the research object. On the basis of understanding the development status of LNG gasification station in China and industrial monitoring system at home and abroad, through analyzing the characteristics and key parameters of LNG gasification process, the measurement and control scheme of LNG gasification station is designed, and the monitoring requirements of LNG gasification station are analyzed. Based on PC PLC, Redundant LNG gasification station monitoring system architecture. At the same time, completed the hardware design of PLC system. Completed the LNG gasification station monitoring software development and data opening technology research based on WinCC. Use WinCC configuration software development platform to research open. LNG gasification station operation process monitoring software, Functions such as flow view, remote operation, real-time data display, alarm display and query, operation record display and query and user management are realized. All of the above functions are running well. The open LNG gasification station real-time data acquisition and storage technology is studied, and the process class data and operation class data storage are completed. It lays a foundation for the research and development of data management and analysis platform. The research and development of secure data management platform is carried out. By studying the database characteristics of LNG gasification station monitoring system, the data management platform is developed with C # language. The process class, operation class, alarm and other historical data query are realized. By analyzing the process parameters associated with the safety grade of LNG gasification station, the flammable gas concentration is obtained by using fuzzy control theory. The relation model between the difference between ambient temperature and the temperature of liquid collecting tank and the safety grade of LNG gasification station is established. The real-time prediction of the safety grade of LNG gasification station is realized by combining the database and query table. The test results show that multi-parameter fuzzy comprehensive early warning can improve the timeliness and accuracy of the early warning. The system has been actually running in the LNG gasification station of Beichen heating Company of Jinre Group and the system is running well. The monitoring software and data management platform have friendly interface and reasonable function, and can meet the needs of LNG gasification station.
【学位授予单位】：天津科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP277

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