DocumentCode :
1943260
Title :
Liquid Flow Detection System Based on Wireless Sensor Network
Author :
Wang Mingwei ; Li Qinjun ; Li Huizhen
Author_Institution :
Shaanxi Univ. of Sci. & Technol., Xian, China
fYear :
2011
fDate :
5-7 Aug. 2011
Firstpage :
693
Lastpage :
696
Abstract :
As the wireless technology compared with the traditional wired technology has a lot of advantages, it has been widely used at enterprise level as a good way to improve system performance and reduce cost. On analysis of the system characteristics of industrial Liquid flow detection in pipes, a ZigBee wireless sensor network has been developed which can simultaneously detect multiple pipeline flow and realize remote monitoring. The detection speed and accuracy of the detection system have been improved greatly by adopting digital signal processing technology. The human-machine interaction of the detection system has also been made friendlier by adopting ARM embedded technology. In actual application, the new detection system based on wireless, DSP and ARM technologies compared with the traditional detection system based on MCU has the advantages of high performance, easy wiring and extension, remote monitoring, etc.
Keywords :
Zigbee; digital signal processing chips; flow sensors; man-machine systems; microcontrollers; pipelines; wireless sensor networks; ARM embedded technology; ARM technology; DSP; MCU; Zigbee; cost reduction; digital signal processing technology; human-machine interaction; liquid flow detection system; remote monitoring; system performance improvement; traditional wired technology; wireless sensor network; Digital signal processing; Fluid flow; Ground penetrating radar; Remote monitoring; Wireless communication; Wireless sensor networks; Zigbee; ARM; DSP; Liquid flow; wireless Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4577-0755-1
Electronic_ISBN :
978-0-7695-4455-7
Type :
conf
DOI :
10.1109/ICDMA.2011.173
Filename :
6052040
Link To Document :
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