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Hardware Design of Aquaculture Water Quality Wireless Monitoring System

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Wireless Communications and Applications (ICWCA 2011)

Abstract

Environmental monitoring of aquaculture for the current means of monitoring equipment and a weak infrastructure, relatively backward status quo, using wireless sensor technology, embedded computing technology, MEMS technology (MEMS), distributed information processing technology and wireless communication technology in one of the wireless network Sensor network environments for aquaculture digital, networked, intelligent real-time dynamic monitoring system. The system not only can the principal detection of aquaculture environment indicators (temperature, PH, dissolved oxygen, turbidity, ammonia, etc.) in real-time monitoring, but also able to detect indicators of data fusion and data mining to establish a history of aquaculture environmental monitoring indicators Database, monitoring data to achieve a local or remote, real-time, dynamic display and analysis, in order to improve the process of aquaculture, water resources utilization, improve the quality of the culture environment and reduce emissions of pollutants provides an important technical means and scientific basis . The hardware architecture design is the core technology of this system. We will detail this part in the article.

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Wen, D., Yinchi, M., Weichao, X. (2012). Hardware Design of Aquaculture Water Quality Wireless Monitoring System. In: Sénac, P., Ott, M., Seneviratne, A. (eds) Wireless Communications and Applications. ICWCA 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 72. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29157-9_30

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  • DOI: https://doi.org/10.1007/978-3-642-29157-9_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29156-2

  • Online ISBN: 978-3-642-29157-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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