Title :
Wireless network measurement instrument of oxidation reduction potential based on multi-sensor data fusion of kalman filtering
Author :
Gao, Meijuan ; Zhang, Fan ; Tian, Jingwen
Author_Institution :
Sch. of Inf. Sci., Beijing Univ. of Chem. Technol., Beijing
Abstract :
Oxidation-reduction potential (ORP) is one of the important parameters which directly bears on the quality and efficiency of the sewage treatment process. A kind of ORP wireless network measurement instrument based on Kalman filtering multi-sensor data fusion technology is presented in this paper and the embedded systems is used as control unit of instrument. The instrument uses the depolarization method to dispose the platinum electrode and silver-silver chloride electrode, and adopts Kalman filtering multi-sensor data fusion technology to achieve the measuring result of ORP fast and accurately and to improve the accuracy and the reliability of the measured data. This instrument adopts the ZigBee wireless sensor networks to realize flexible multi-point remote network measurement, and has the storage and communication function of USB and CAN bus at the same time.
Keywords :
Kalman filters; oxidation; public utilities; reduction (chemical); sensor fusion; sewage treatment; wireless sensor networks; CAN bus; Kalman filtering; ORP wireless network measurement instrument; USB; ZigBee wireless sensor network; communication function; depolarization method; embedded system; multipoint remote network measurement; multisensor data fusion; oxidation reduction potential; platinum electrode disposition; sewage treatment process; silver-silver chloride electrode; storage function; Control systems; Electrodes; Embedded system; Filtering; Instruments; Kalman filters; Oxidation; Platinum; Sewage treatment; Wireless networks; Kalman filtering; Measurement instrument; Multi-sensor data fusion; Oxidation reduction potential; Wireless network;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597632