The Improvement of the Circuit of Low Power in Yellow River Diversion Project

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Abstract:

The applications of wireless sensor are the hot topic in the current research of the Yellow River Diversion Project. The realization of low-power wireless sensor is not only an focal point in the study of wireless sensor, but also one of the difficulties in the study of measuring and controlling technology. In the Yellow River Diversion Project, the low power consumption of wireless sensor node circuit has been a drawback of high cost and low accuracy. In this article, we use the improved circuit of wireless sensor node to achieve low power consumption. According to comparing with the traditional low-power circuit, we pointed out its advanttages and disadvantages. Joining negative feedback in the particular experimental circuit, the related data which had been acquired was compared, then the conclusions of the lower power consumption was obtained. In order to reducing the power loss, we could add the appropriate feedback resistor after analyzing the table.Therefore, wireless sensors are important in the Yellow River Diversion Project. The reasonable use of wireless sensors will develop the water conservancy effectivly.

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Periodical:

Advanced Materials Research (Volumes 734-737)

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2592-2597

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Online since:

August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zheng Qing-hua, Zheng Zhao-xia. The low-power design techniques of the hardware and software co of the wireless sensor network node chip. Computer and Digital Engineering,2008,(12).

Google Scholar

[2] Liu Pan-gang, Wen Yu-mei, Li Ping, etc. The study of magnetic-electric powered wireless sensor power management circuit. SensorTechnology,2008,21(8):1427-1 431.

Google Scholar

[3] Zhang Da-zong, Yang Tao, Wei Dong-mei. The design of a low-power wireless sensor network node. Instrument Technique and Sensor, 2006(10):54-57.

Google Scholar

[4] Zhang Fan, Li Wen-feng, Song Wei, Real-time Energy Consumption Monitoring for Wireless Sensor Nodes. Computer Engineering&Science, 2010,32(11):47-51.

Google Scholar

[5] Milenkovic A, Milenkovic M, Jovanov E.et al. An Environment for Runtime Power Monitoring of Wireless Sensor Network Platforms[C]//Proceedings of the Thirty-Seventh Southeastern Symposium.2005:406-410.

DOI: 10.1109/ssst.2005.1460946

Google Scholar