上海交通大学学报(自然版) ›› 2012, Vol. 46 ›› Issue (12): 1914-1919.

• 自动化技术、计算机技术 • 上一篇    下一篇

经济性能评估的炼焦生产过程优化运行方法

雷琪1,2,吴敏1   

  1. (1. 中南大学 信息科学与工程学院,  先进控制与智能自动化湖南省工程实验室, 长沙 410083; 2. 系统控制与信息处理教育部重点实验室, 上海 200240)  
  • 收稿日期:2012-05-14 出版日期:2012-12-29 发布日期:2012-12-29
  • 基金资助:

    国家自然科学基金资助项目(61203018),湖南省自然科学基金资助项目(11JJ6048),系统控制与信息处理教育部重点实验室开放基金(SCIP2011002),国家高技术研究发展计划(863)项目(2012AA040307),中南大学博士后基金资助项目.

     

Optimization Operation for Coking Process Based on Economic Performance Assessment

 LEI  Qi-1, 2 , WU  Min-1   

  1. (1. School of Information Science and Engineering, Central South University, Hunan Engineering Laboratory for Advanced Control and Intelligent Automation, Changsha 410083, China; 2. Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai 200240, China)
  • Received:2012-05-14 Online:2012-12-29 Published:2012-12-29

摘要: 针对炼焦生产过程中缺少性能评估环节而难以确保过程优化运行的问题,提出了一种基于经济性能评估的炼焦生产过程优化运行方法.该方法在炼焦生产过程经济效益指标和焦炭质量过程性能指标对协调优化级进行性能评估的基础上,结合模型置信度,建立专家规则,及时修正经济指标预测模型;基于焦炭产量、炼焦能耗等经济指标,以焦炭质量和工艺条件为约束,对炼焦生产过程进行协调优化,使得炼焦生产达到良好的运行状态.仿真结果表明,所提方法能显著地提高焦炭产量、降低能耗.   

关键词: 炼焦生产过程, 经济性能指标, 性能评估, 优化运行

Abstract: In coking process, the optimal operation cannot be ensured due to lack of performance assessment. This paper proposed an optimization operation method  based  on  economic performance assessment for the coking process. Based on performance assessment with economic indicators and quality indicators, combined with the confidence level model, the expert rules were established to timely correct forecasting model of the economic indicators, or optimize the coke production process to achieve good operating conditions, while taking the economic indicators including coke yield and energy consumption as the goals, the cokes quality and mechanism conditions as constraints. The simulation shows that the method proposed in this paper can obviously increase coke yield and reduce energy consumption.

Key words: coking process, economic performance indicators, performance assessment, optimal operation

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