基于AHP-FCE的工业控制系统稳定性评价方法研究

发布时间：2018-11-28 18:17

【摘要】：在实际工业过程中,由于环境条件、设备老化、磨损等因素,以及近些年逐渐引起工控界重视的信息物理融合系统(Cyber-Physical System,CPS)恶意程序感染问题,工控系统运行稳定性会随时间的推移而下降,从而影响正常生产,甚至导致重大安全生产事故。本文通过对中石化普光天然气净化厂DCS系统稳定性进行实地调研,根据工程技术人员经验意见分析影响工业控制系统稳定性的主要因素,并结合国内外研究及应用现状,提出基于 AHP-FCE(Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation,基于层次分析的模糊综合评价法)的工业控制系统稳定性评价方法。首先介绍了工业控制系统的发展历史,着重介绍了其两大类应用DCS和SCADA系统,并以DCS系统为例,从宏观和微观两个方面对DCS系统稳定性进行分析。本文着重于对稳定性评价微观方面的研究,归纳总结了控制系统常用的定量分析性能指标,建立起三层层次分析结构,设计了评价方法的具体步骤。随后利用Truetime工具箱和田纳西伊斯曼过程模型建立DCS联合仿真模型,通过仿真模型获取控制系统节点偏差分析数据。并对层次分析中判断矩阵和模糊综合中评价矩阵的建立,利用物理意义标度和聚类分析等方法对传统的"专家经验"获取方法进行改进。最终对设计的评价方法进行仿真实验,实验结果数据显示"基于AHP-FCE的工业控制系统稳定性评价方法"取得较好效果,证明了设计方法的有效性和实用性。
[Abstract]:In the actual industrial process, due to environmental conditions, equipment aging, wear and tear and other factors, as well as the information physical fusion system (Cyber-Physical System,CPS) malicious program infection problem, which has been paid more and more attention in the industrial control field in recent years. The stability of industrial control system will decrease with time, which will affect normal production and even lead to major safety accidents. In this paper, the stability of DCS system in Pu Guang Natural Gas purification Plant of Sinopec is investigated on the spot, and the main factors influencing the stability of industrial control system are analyzed according to the experience of engineers and technicians, and the present situation of research and application at home and abroad is combined. This paper presents a method for evaluating the stability of industrial control system based on AHP-FCE (Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation, fuzzy comprehensive evaluation method based on AHP. In this paper, the history of industrial control system is introduced, and the application of DCS and SCADA system is emphasized. The stability of DCS system is analyzed from macro and micro aspects by taking DCS system as an example. In this paper, the microcosmic aspects of stability evaluation are studied, the quantitative analysis performance indexes commonly used in the control system are summarized, the three-layer analytic hierarchy process is established, and the concrete steps of the evaluation method are designed. Then the Truetime toolbox and the Tennessee Eastman process model are used to establish the DCS joint simulation model. The node deviation analysis data of the control system are obtained by the simulation model. The establishment of judgment matrix in AHP and evaluation matrix in fuzzy synthesis, and the improvement of traditional "expert experience" acquisition method by using physical meaning scale and clustering analysis are also presented. Finally, the simulation experiment of the evaluation method is carried out. The result shows that the method of evaluating the stability of industrial control system based on AHP-FCE has achieved good results, which proves the validity and practicability of the design method.
【学位授予单位】：西南石油大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP273

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