Intelligent Control System for Intertidal Benthos Research Based on Internet of Things

Abstract:

A simulation system for intertidal zone environment that can be remotely monitored is proposed. The system is divided into the two parts of remote control center and environment simulator, which are interconnected through wireless network technology. The remote control center performs remote monitoring through upper machine software, while the environment simulator can simulate natural environments such as ocean tides, water temperature and light illumination in different types of intertidal zones. Users can change and access the environmental parameters and data of the environment simulator by making instructions at the remote control center. A stable system is realized in accordance with the design requirements, and actual tests show that main features of the simulated natural environment in intertidal zones are very close to actual environment.

• Periodical: Applied Mechanics and Materials (Volume 389)
• Pages: 632-637
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.389.632
• Online since: August 2013
• Authors: Jia Mu Cao, Yi Jiang Cao, Ju Meng Feng
• Keywords: Environment Simulator, Intelligent Control, Internet of Things (IOT), Intertidal Zone

References

[1] S. David, D. Lindsay, B. Helmuth, K. A. S. Mislan, Predicting intertidal organism temperatures with modified land surface models, Ecological Modelling, vol. 222, pp.3568-3576, October (2011).

DOI: 10.1016/j.ecolmodel.2011.08.019

[2] M. Kranz, P. Holleis, A. Schmidt, Embedded interaction: interacting with the internet of things, IEEE Internet Computing, vol. 14, pp.46-53, (2010).

DOI: 10.1109/mic.2009.141

[3] Z. Q. Guan, C. B. Gu, Q. H. Hong, The design of communications dispatch module based on GSM. ICCTD 2010, pp.583-585, (2010).

[4] W. Feng, A. Gomez-Rivas, VB for control & instrumentation program. ASEE Annual Conference Proceedings, pp.11303-11310, (2001).

[5] A. Klauer, M. Pandit, Processing measurement signals with high-resolution AD-conversion, TM. Technisches Messen, vol. 52, pp.404-410, (1985).

DOI: 10.1524/teme.1985.52.11.404

[6] Y. Zeng, Y. D. Song and B. K. Wang, Development of environment monitoring systems for greenhouse based on Proteus and Keil software, Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, vol. 28, pp.177-183, July (2012).

[7] F. Lyard, F. Lefevre, T. Letellier, O. Francis, Modelling the global ocean tides: Modern insights from FES2004, Ocean Dynamics, vol. 56, pp.394-415, December (2006).

DOI: 10.1007/s10236-006-0086-x

[8] M. Hayashi, Field observation and water budget analysis of the coast of osaka bay, Japan, OCEANS 2008-MTS/IEEE Kobe Techno-Ocean, pp.1-4, April (2008).

DOI: 10.1109/oceanskobe.2008.4531066

[9] F. G. Tian, A new method to measure internal transmittance of optical glass, Laser Technology, vol. 27, June (2003).