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基于粗糙集的连续生产过程运行状态评价及应用
Continuous Process Operating Performance Assessment and Its Application Using Rough Set Theory
【作者】 王敏;
【导师】 王福利;
【作者基本信息】 东北大学 , 控制理论与控制工程, 2017, 硕士
【摘要】 随着社会的不断发展,资源供应压力增大、环境保护成本增加、工业产值追求提升,使得如何有效地控制生产过程,进而提高综合经济效益,成了现阶段工业过程中亟待解决的重要问题。过程运行状态评价作为一个新兴的研究领域,能够实时判断过程运行状态优劣程度,并对导致非优运行状态的原因做出提示,有利于现场操作人员和管理者掌握过程运行状态,以获取最大经济效益。本文旨在研究连续生产过程运行状态评价方法。实际的连续生产过程包含多个子过程,每个子过程内变量联系紧密,子过程间变量联系相对较弱;此外,连续生产过程还存在机理复杂、规模庞大、影响因素冗杂、不确定性信息众多等问题。针对上述问题,本文提出了基于分层思想的过程运行状态评价方法:将一个复杂的连续生产过程根据管理方向进行纵向分层,即过程层、工序层和全流程层,根据生产工艺进行横向分块。分别根据全流程层指标与工序层指标的关系建立全流程层评价模型;根据工序层指标与过程层指标的关系建立工序层评价模型;根据过程指标与过程变量间的关系建立过程层评价模型。分层分块结构建立完成之后,运用粗糙集理论处理不确定性信息并实现基于分层思想的运行状态在线评价以及非优原因追溯。最后,以金湿法冶金过程为例,进行仿真分析,验证所提方法的有效性。本文主要工作归纳如下:(1)阐述了研究的问题,对连续生产过程特点、金湿法冶金特点、粗糙集理论和运行状态评价方法研究现状进行分析;(2)叙述了本文所面临不确定性信息的种类,介绍了处理该类不确定性信息的粗糙集理论,从数据处理、决策表建立、属性约简、属性值约简、规则提取等方面进行了详细分析阐述。(3)针对实际连续生产过程特点,提出分层评价方法,并在此基础上分别建立评价子模型,实现在处理不确定信息的基础上对连续过程进行运行状态在线评价。针对评价过程中出现的“非优”状态进行非优原因追溯,针对粗糙集信息处理的特点,结合专家经验,从实际操作的可行性、便捷性角度,构建了差异度公式,以该公式为基础,对“非优”的原因进行溯源,以指导后续的生产。(4)对典型的连续生产过程——金湿法冶金过程,作了简要介绍,并将所提的分层评价方法和非优原因追溯方法运用到该过程中,结合实际生产,设计了4种典型情况进行仿真,以验证方法的有效性。
【Abstract】 With the rapid development of the society,due to the resource supply pressure,environmental protection cost and pursuit of industrial production profit,it becomes an urgent problem on how to control the continuous processes effectively and to improve production process profit.As a new research field,process operating performance assessment can judge the optimality degree of the process operating performance in real time.Besides,it gives guidance for identifying the cause of non-optimal process operating performance.This is conducive to the operators and managers to adjust the operation of the continuous processes to achieve the best economic performance.This thesis aims to study the assessment method of continuous process operating performance.An actual continuous process usually consists of multiple sub-processes.The variables within a sub-process are closely related,while the variables between the sub-processes are relatively weakly related.Besides,continuous processes have high complexity,miscellaneous influence factors and numerous uncertain information,which limit the application of the conventional assessment approaches.Taken the above characteristics and problems into consideration,a novel assessment method of process operating performance based on hierarchical multi-block structure is put forward in this thesis.A complex continuous process is vertically layered according to the direction of management,namely process layer,procedure layer and global layer.And then the process is horizontally blocked according to the production characteristics.The global assessment model is established according to the relationship between the global layer index and procedure layer indices.The procedure layer assessment model is respectively established according to the correlations between the procedure layer index and corresponding process layer indices.The process layer assessment model is respectively established according to the correlations between process index and corresponding process variables.Based on the hierarchical multi-block structure,rough set theory is used to deal with the uncertain information,implement the online assessment of process operating performance,and perform the non-optimal cause identification.Finally,the proposed method is applied to a gold hydrometallurgy process,and the simulation analysis is carried out to verify its effectiveness.The main researches of this thesis are summarized as follows:(1)The continuous process characteristics,gold hydrometallurgy process properties,and process operating performance assessment approaches are introduced in this thesis.(2)The types of uncertain information are described in this thesis.Rough set theory is reviewed,including the data processing,the establishment of decision tables,attribute reduction,attribute value reduction,and rule extraction.(3)According to the characteristics of the actual continuous processes,a novel hierarchical assessment structure is put forward.Sub-models are built on the basis of the hierarchical structure to assess the operating performance online with the uncertain information.If the performance grade is non-optimal,then the cause identification is carried out.Rough set theory properties,experts’ knowledge,and operation feasibility are considered to build a dissimilarity formula to identify the non-optimal cause and guide the subsequent production.(4)At last,the gold hydrometallurgy process which is the typical continuous process is briefly introduced in the thesis.The hierarchical assessment method and the non-optimal cause identification method are applied to the gold hydrometallurgy process.In combination with the actual production,four typical cases are designed to verify the effectiveness of the proposed method.
- 【网络出版投稿人】 东北大学 【网络出版年期】2019年 06期
- 【分类号】TF831;TP18
- 【下载频次】49