• DocumentCode
    1567987
  • Title

    Design of the system for COD monitoring online

  • Author

    Sun, Rongxia ; Ji, Na ; Guo, Liang ; Yang, Yan

  • Author_Institution
    Electron. Inf. Eng. Coll., Hebei Univ., Baoding, China
  • fYear
    2009
  • Abstract
    Many standard chemical titration methods used for solve the serious water pollution problem have limitations such as secondary pollution and long detection time. This paper designs the COD monitoring system of upper and lower structure. Under-bit machine uses the SCM as the control core. The liquid crystal display simulation circuit is given in this paper. Signal detection is based on the properties of UV absorption spectrum to converse the COD value. PC communicates with under-bit machine through the serial port. The man-machine monitoring and control interface is implemented with Visual C++ on PC, realizing the real-time data display, historical data query, storage and more alarm and so on. It adopts the support vector machine regression algorithm for building the adaptive model. The experimental data indicated that the measurement results of this system are basically the same as the results of standard chemical titration method. The system has high measurement speed, non-polluting, and is easy for remote monitoring.
  • Keywords
    C++ language; data acquisition; environmental science computing; regression analysis; spectrochemical analysis; support vector machines; water pollution measurement; UV absorption spectrum; Visual C++; adaptive model; chemical oxygen demand; chemical titration methods; control interface; data storage; historical data query; liquid crystal display simulation circuit; monitoring interface; online COD monitoring system design; real time data display; serial port; signal detection; support vector machine regression algorithm; under bit machine; water pollution problem; Chemicals; Circuit simulation; Electromagnetic wave absorption; Liquid crystal displays; Man machine systems; Monitoring; Pollution measurement; Signal detection; Support vector machines; Water pollution; COD; SVMR; UV absorption; online monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274822
  • Filename
    5274822