Construction Research of Indoor Environment Intelligent Control System Based on MAS

Article Preview

Abstract:

Strictly speaking, the indoor environment intelligent control system can not only detect the parameters of indoor environment, the state of every equipment, but also adjust indoor environment automatically in order to achieve the most comfortable indoor environment under condition of saving energy. Based on thermal comfort index PMV, we have constructed the MAS (Multi-Agent System) for indoor environment control with Zigbee network technology after the deeply research on the decoupling of the environment parameters. In this paper, main researching contents have been discussed like the cooperation strategy in the MAS, proposed a cooperation strategy based on the task distribution, which decreased the communication and enhanced problem solving efficiency.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

494-497

Citation:

Online since:

July 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Liu Chang, Chen Yifei. Neural computing thermal comfort index PMV for the indoor environment intelligent control system. Nanning: International Conference on Computer and Computational Intelligence, 2010. 11.

DOI: 10.1117/12.2010622

Google Scholar

[2] Cook DJ, D as SK. How smart are our environments? An updated look at the state of the art [J]. Pervasive and Mobile Computing, 2007, 3(2): 53- 73.

DOI: 10.1016/j.pmcj.2006.12.001

Google Scholar

[3] Doctor F, Hagras H, Callaghan V. A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments [J]. IEEE T ran sactions on Systems, Man and Cybernetics-Part A: Systems and Humans, 2005, 35(1): 55- 65.

DOI: 10.1109/tsmca.2004.838488

Google Scholar

[4] Helal S, Mann W, ElZabadani H, The gator tech smart house: a programmable pervasive space[ J] . Computer, 2005, 38 (3): 50-60.

DOI: 10.1109/mc.2005.107

Google Scholar

[5] Brian BB, Meyers B, Krumm J, Easy living: technologies for intelligent environments [C] (Proceedings of the HUC, Bristo, l2000: 12- 29.

Google Scholar

[6] Holmquist LE, Gellersen HW, Kortuem G, Building intelligent environments with Smart-Its [J]. Computer Graphics and Applications, 2004, 24(1) : 56- 65.

DOI: 10.1109/mcg.2004.1255810

Google Scholar

[7] Francesco Calvin, Maria La Gennusa, Gianfranco Rizzo, Gianluca Scaccianoce. The control of indoor thermal comfort conditions: introducing a fuzzy adaptive controller. Energy and Buildings 36 (2004) 97-102.

DOI: 10.1016/j.enbuild.2003.10.004

Google Scholar

[8] RG Smith and Davis. Frameworks for cooperation in distributed problem solving [J]. IEEE Transaction on Systems Man and Cybernetics, 1981, 11(1): 61 – 70.

DOI: 10.1109/tsmc.1981.4308579

Google Scholar