A Remote Intelligent Control Method Based on the Thermal Comfort Model

Abstract:

In order to improve thermal comfort and avoid manually controlled split air conditioner, this paper proposes a remote intelligent control method based on the thermal comfort model. It first carries out an analysis of the thermal comfort model and simplifies objective function of the thermal comfort model, which contains only the temperature, humidity and the airflow rate of 3 parameters. In order to get the data of the three parameters of the environment the paper designs an intelligent control device with sensors and also provides the artificial immune method to optimize these three parameters. The test results show that the three parameters obtained in this paper are feasible and effective for the split air conditioner intelligent control. And this method can also be used for other similar equipment control system.

• Periodical: Applied Mechanics and Materials (Volume 235)
• Pages: 216-220
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.235.216
• Online since: November 2012
• Authors: Jie Min Ding, Zhen Zhong Li, Wei Bo Li, Pin He
• Keywords: Air Conditioner, Immune Algorithm, Intelligent Control, Thermal Comfort Model

References

[1] ANSI/ASHRAE Standard 55-1992, Thermal Environmental Conditions for Human Occupancy.

[2] H.Y. Shen, P. Qin, J. Dong, Analysis on the Environment Factors Affecting the PMV Index. Journal of Refrigeration and Air-Conditioning, (4)(2003), pp.27-29.

[3] Y. MEI, Y.F. Du,Y. Yang: Design of Central air-conditioning controller based on fuzzy technology, Journal of Techniques of Automation and Applications, Vol. 30 (2011), pp.8-11.

[4] S.Q. Jia, P. Chen, A.H. Li: Control Method of Inverter Air Conditioner Based on Neural Network, Journal of Computer Measurement & Control, Vol. 14(2006), pp.1033-1035.

[5] Zoran L. B., Srete N.,N., Predrag Z.M.: Process Control for Thermal Comfort Maintenance Using Fuzzy Logic, Journal of Electrical Engineering, Vol. 59(2008), p.34–39.

[6] H.M. Zheng: Research on Calculating Method of PMV through Nomograph and Equation under Air Conditioning in Summer. Journal of Building Energy & Environment, Vol. 26(2007), pp.74-78.

[7] X. Han, X.S. Guo, Y. Li, Y.H. Liu: Simplelification of thermal comfortable equation, Journal of PLA University of Science and Technology(Natural Science Edition), Vol. 12(2011), pp.663-666.

[8] W.Z. Li, C.Y. Duan: C8051F MCU and short-range wireless data communication．Beijing: Beihang University Press, Feb. 2007, pp.13-15.

[9] Larry Friedman, SimpliciTI: Simple Modular RF Network Developers Notes(Version 1. 50). Texas Instruments, San Diego, (2009).

[10] Z.Y. Wang L.L. Lu,C.Z. Zhang: Analysis and Design of 2. 4 GHz RFID System Based on SimpliciTI Protocol, Journal of Modern Electronics Technique, Vol. 4(2011), pp.61-64.

[11] B. Li,G.X. Gao: Design of self-learning infrared remote controller, Journal of Microcomputer & Its Applications, Vol. 29(2010), pp.13-15.

[12] Emma Hart. Artificial Immune Systems: 9th International Conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010: proceedings, Springer, (2010).

DOI: 10.1007/978-3-642-14547-6