工业水处理 ›› 2006, Vol. 26 ›› Issue (9): 18-20. doi: 10.11894/1005-829x.2006.26(9).18

• 试验研究 • 上一篇    下一篇

统计模式识别在水质分类和水处理剂配方推荐中的应用

陈国松1, 唐美华2, 张之翼1, 卢伟1   

  1. 南京工业大学理学院;
    南京工业大学制药与生命科学学院;
    南京工业大学理学院 江苏南京210009;
    江苏南京210009;
  • 收稿日期:2006-04-03 出版日期:2006-09-20 发布日期:2010-10-01
  • 作者简介:陈国松(1967- ),1993 年毕业于南京工业大学,博士学位,现为南京工业大学理学院应用化学系副教授。电话:025-83587437。E-mail:gschen3303@sina.com。

Application of statistical pattern recognition to the classification of water quality and the recommendation of water treatment reagent prescriptions

Chen Guosong1, Tang Meihua2, Zhang Zhiyi1, Lu Wei1   

  1. 1. School of Science, Nanjing University of Technology, Nanjing 210009, China;
    2. College of Live Science and Pharmacy, Nanjing University of Technology, Nanjing 210009, China
  • Received:2006-04-03 Online:2006-09-20 Published:2010-10-01

摘要:

简述了统计模式识别方法的原理及其在循环冷却水处理中的应用。运用主成分分析法和因子分析法,对20种不同水质的补充水进行了成功的聚类分析。对水处理剂配方的筛选工作具有很好的指导作用。

关键词: 模式识别, 循环冷却水, 水处理剂

Abstract:

The principle of statistical pattern recognition and its application to the treatment of circulating cooling water is introduced in brief. Twenty kinds of supplementary water with different quality are successfully cluster classified by using principal component analysis and factor analysis. It could give a good direction for the selection of water treatment reagents.

Key words: pattern recognition, circulating cooling water, water treatment reagents

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