城市生活垃圾焚烧过程二次风量智能优化设定方法
作者:
作者单位:

1.北京工业大学;2.中国矿业大学

作者简介:

通讯作者:

中图分类号:

TP272

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)(61873009, 62073006),国家攻关项目(2018AAA0100304)


Intelligent Optimization Setting Method of Secondary Air Volume in Municipal Solid Waste Incineration Process
Author:
Affiliation:

Beijing University of Technology

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)(61873009, 62073006),The National Key R&D Program of China(2018AAA0100304)

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对垃圾焚烧过程中的二次风量通常是依据人工经验设定,具有主观随意性,使污染物排放浓度不达标,本文将二次风量的案例推理预设定模型、工艺指标的随机配置网络预测模型、智能补偿模型以及设定值的评价与学习模型有机集成,提出了一种二次风量智能优化设定方法,并给出了设定结构及算法实现。采用某垃圾焚烧厂的历史数据进行了实验,结果表明,该方法获得的二次风量设定值波动程度更小,按此设定值运行的控制系统可以减少污染物的排放浓度,能够促进垃圾焚烧过程运行优化目标的实现。

    Abstract:

    Aiming at the secondary air volume in the waste incineration process are usually set according to manual experience, which is subjective and arbitrary, so that the pollutant emission concentration does not meet the standard, the case-based reasoning preset model of secondary air volume, the stochastic configuration network prediction model of process index, the intelligent compensation model of secondary air volume preset value and evaluation and learning model of set value are integrated organiclly to propose an intelligent optimization setting method of secondary air volume in this paper, and the setting structure and algorithm implementation are given. The experimental results based on the historical data of a waste incineration plant show that the fluctuation degree of secondary air volume set value obtained by this method is less, and the control system running according to the set value by this method can reduce the pollutants emission concentration, which can promote the realization of operation optimization goal in the waste incineration process.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2022-03-07
  • 最后修改日期:2023-02-25
  • 录用日期:2022-07-06
  • 在线发布日期: 2022-09-07
  • 出版日期: