基于SOA的数据挖掘服务在石化企业中的设计与应用

发布时间：2018-05-08 10:06

本文选题：PI实时数据库系统 + Web服务　；参考：《天津大学》2014年硕士论文

【摘要】：目前随着人们对数据挖掘技术研究的不断深入，数据挖掘在企业信息化建设及生产过程中发挥这越来越重要的作用，已经成为企业战略建设的重要组成部分。针对石化行业中的大量信息流、物料流以及资金流等，采用数据挖掘技术对这些信息进行深入的挖掘分析，有利于提高石化企业的运作效率，降低生产成本。本文是围绕A石化实时数据库实施项目进行展开的，首先概述了A石化建设实时数据库的重要意义及针对不同层次（如决策层、生产管理层和生产执行层）的不同需求实现的不同目标，其次通过采用国际先进软件与成熟技术，结合A石化的特点与要求，对搭建实时数据库集成平台的流程进行介绍，开发所需要解决的关键技术问题，，包括实现与各种数据采集系统（如DCS系统、PLC系统、SCADA系统、电气系统等）的对接；与ERP系统实现数据共享；通过所建设的实时数据库系统可以完成采集、存储和管理生产过程中的实时数据，并分析较长周期内的历史生产数据，进而根据业务需求实现统计报表、设备监控和业务运行监控等功能。所建设的实时数据库系统还可以为ERP等应用管理系统提供经优化处理后的生产数据，进一步提高全厂营运效益。最后对现阶段的研究设计成果进行效果展示，并对需要进一步完善的地方进行了总结，展望了下一步需要继续深入进行的研究和探索工作。
[Abstract]:At present, with the development of data mining technology, data mining plays a more and more important role in the process of enterprise information construction and production, and has become an important part of enterprise strategy construction. In view of a large amount of information flow, material flow and capital flow in petrochemical industry, the use of data mining technology to dig and analyze these information will help to improve the operation efficiency of petrochemical enterprises and reduce production costs. This paper focuses on the implementation project of A petrochemical real-time database. Firstly, it summarizes the significance of the construction of real-time database in A petrochemical industry and aims at different levels (such as decision-making level, etc.) By adopting advanced software and mature technology, combining with the characteristics and requirements of A petrochemical industry, this paper introduces the process of setting up a real-time database integration platform. The key technical problems need to be solved in the development, including the realization of docking with various data acquisition systems (such as DCS system, DCS system, electrical system, etc.), the realization of data sharing with ERP system, etc. Through the real-time database system, we can collect, store and manage the real-time data in the production process, analyze the historical production data in a long period, and then realize the statistical report according to the business demand. Equipment monitoring and business operation monitoring and other functions. The real-time database system can also provide optimized production data for ERP and other application management systems, and further improve the operation efficiency of the whole plant. Finally, the effect of the current research and design results is demonstrated, and the further improvement is summarized, and the further research and exploration work is prospected.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09;TP311.13

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