›› 2015, Vol. 28 ›› Issue (8): 138-.

• 论文 • 上一篇    下一篇

基于μC/OS-II生物脱氮工艺中多参数实时检测

刘成良,王春锋,林金彪   

  1. (1.桂林电子科技大学 生命与环境科学学院,广西 桂林 541000;2.桂林电子科技大学 电子工程与自动化学院,广西 桂林 541000)
  • 出版日期:2015-08-15 发布日期:2015-08-15
  • 作者简介:刘成良(1965—),男,博士,副教授,硕士生导师。研究方向:水体富营养治理,环境工程仿真与控制等。E-mail:529904088@qq.com。王春锋(1987—),男,硕士研究生。研究方向:检测技术及其自动化装置。
  • 基金资助:

    广西科技厅基金资助项目(PD12B089;PF110239)

Real-time Detection of Biological Denitrification Parameters Based on μC/OS-II

LIU Chengliang,WANG Chunfeng,LIN Jinbiao   

  1. (1.School of Life and Environmental Science,Guilin University of Electronic Technology,Guilin 541000,China;
    2.School of Electronics Engineering and Automation,Guilin University of Electronic Technology,Guilin 541000,China)
  • Online:2015-08-15 Published:2015-08-15

摘要:

为实现对生物脱氮工艺中多参数的实时检测,以及解决常规化学检测过程中带来的污染和耗时问题。应用了一种基于电化学和嵌入式系统,可同时对水温、pH值、氨氮3个相关参数进行实时检测,并对理论值和实测值进行数据分析对比。实验结果表明,该系统实时性良好、稳定可靠,且满足了该工艺实时检测要求。

关键词: STM32, 实时检测, 嵌入式系统, 线性拟合

Abstract:

In order to realize the real-time detection of biological denitrification parameters and solve the pollution and time-consumption of regular chemical detection methods,we adopt a real-time detection method based on an electrochemistry and embedded system,which can detect in real-time three related parameters:the water temperature,pH and ammonia nitrogen.The theoretical value and the measured value are then compared and analyzed.The experimental results show that the real-time detection system is stable and reliable with good performance,which satisfies the requirement of biological denitrification process real-time monitoring.

Key words: STM32;real time detection;embedded system;linear fitting

中图分类号: 

  • TP274+.5