Design and Implementation of the Environment Monitoring System Indoor Based on RFD5800

Article Preview

Abstract:

As the characteristic of the indoor, Environment monitoring system is not suitable for wiring, It be designed an indoor environment detection system based on RFD5800 which is wireless transmission module in this paper, and completed the hardware and software design of the system. The hardware system consists of the main control module, the detection module, display module, wireless transmission module and control module. Software includes acquisition program and transfer procedures, and application of fuzzy control algorithm for data integration to improve the measurement accuracy. The system achieved the purpose of real-time monitoring of the indoor environment by detecting

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

1241-1245

Citation:

Online since:

May 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Li.Xiaoli: Thorsten. Classification of energy consumption in buildings with outlier detection. IEEE Transactions on Industrial Electronics(2010) ,pp.3639-3644.

DOI: 10.1109/tie.2009.2027926

Google Scholar

[2] Yu.Yan, Shi.Yan, Gao. Qinghua, Ou.Jinping: Integration and test of sensor-based middleware for building energy detection. Proceedings of 2010 International Conference on Intelligent Control and Information Processing(2010), pp.652-657.

DOI: 10.1109/icicip.2010.5565211

Google Scholar

[3] Seem.John.E: Using intelligent data analysis to detect abnormal energy consumption in buildings. Energy and Buildings(2007), pp.52-58.

DOI: 10.1016/j.enbuild.2006.03.033

Google Scholar

[4] Gaona.Ramirez.Epifanio, Titos-Gil.Ruben, Fernandez.Juan, Acacio.Manuel.E: Characterizing energy consumption in hardware transactional memory systems. Proceedings - 22nd International Symposium on Computer Architecture and High Performance Computing( 2010), pp.9-16.

DOI: 10.1109/sbac-pad.2010.11

Google Scholar

[5] Song.L, Liu.M, Claridge.David.E, Haves.Philip: Study of on-line simulation for whole building level energy consumption fault detection and optimization. Architectural Engineering, Building Integration Solutions(2003), pp.76-83.

DOI: 10.1061/40699(2003)14

Google Scholar

[6] Niu.Limin, Tan.xiaobin: Estimation of system power consumption on mobile computing devices. Proceedings 2007 International Conference on Computational Intelligence and Security( 2007), pp.1058-1061.

DOI: 10.1109/cis.2007.198

Google Scholar

[7] Seem.John.E: Using intelligent data analysis to detect abnormal energy consumption in buildings. Energy and Buildings(2007), pp.52-58.

DOI: 10.1016/j.enbuild.2006.03.033

Google Scholar

[8] C.T. Wang, J.Y. Ren, Z.H. Han, B. Ma, Source: Application of building energy detection system based on OPC technology. Proceedings of 2012 International Conference on Modelling, Identification and Control, ICMIC 2012, pp.266-271, (2012)

Google Scholar