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Semenova N.G., Valiullin K.R. INTELLIGENT ENERGY-EFFICIENT STREET LIGHTING CONTROL SYSTEM BASED ON NEURAL NETWORK TECHNOLOGY Street lighting systems in modern cities are complex high power consuming facilities and development of energy-saving control systems is required for their effective work. Comparative analysis of existing methods of street lighting control, shows that in a modern city, they cannot work effectively. So, the development of intelligent control systems that simultaneously measure, analyze, and reduce power consumption, providing the flexibility in condition of uncertain data is important and relevant nowadays. Because of the many random factors, such as weather conditions, changes in the length of day light and others formalization of the power of the lighting installation relation from the ambient light is difficult. For the approximation of this function is proposed to use the neural networks, which was chose because of their efficiency in the field of approximation of continuous functions. Algorithm of intelligent street lighting control system with training based on the back propagation was developed and implemented in software. Developed control system operates in two modes: mode of training a neural network; control of a lighting system. Features of the program are: changing of the target luminance value of road surface; receiving of training sample directly in the process of lighting system control and preservation of training samples in tabular form for further processing. The program developed by the authors tested on experimentally installation consisting of five LED-lamp models of street lighting. The results of the experiments showed that the efficiency of the intellectual system of street lighting control compared with traditional amounted to 6.3 %.Key words: street lighting, control system, neural network technology, energy efficiency.
References:
1. A. Enns. Intelligent street lighting systems /O.Enns // Energy saving. — 2008. — №1. — S. 58-62.
2. Federal Law of 23.11.2009 №261-FZ "On energy saving and energy efficiency improvements and on amendments to certain legislative acts of the Russian Federation" // "Collection of the legislation of the Russian Federation", 30.11.2009, № 48, Art. 5711.
3 Valiullin KR Analysis of the methods of street lighting control according to various criteria. Electrical engineering by eyes of the youth: to learn. tr. V inter-dunar. tehn. Conf., Vol.2., Tomsk, 10-14 November 2014 / Min of Education and Science of the Russian Federation, Tomsk Polytechnic University. — Tomsk: 2014, with the 275-279.
4. Guriev AV Systems for automated control of external illumination / AV Guriev, EA Primer // Electronics. — 2001. — № 5. — p. 4.
5. Kirichok, AI .. Automation of outdoor lighting as a tool for energy conservation / AI Kirichok // World of roads.-2012.-№63.-C. 38-40.
6. Kazarinov LS. Project of energy-efficient street lighting systems development based on innovative technical and economic mechanism of amplification of the budget financing / LS Kazarinov, TA Barbasova // Bulletin of SUSU, Computer technology, management , electronics.– 2011.– Vol. 14. № 23 (240) .– S. 92-97
7. Galushkin AI. Neural networks: basic theory / AI Galushkin. — Moscow: Hotline Telecom, 2012. — 496 p.
8. Matveev MG Models and methods of artificial intelligence. -Application-tion in the economical studies. Manual / MG Matveev, A. Sviridov, NA Aleine Cova. — M .: Finance and Statistics; INFRA-M, 2008. — 448 p .: ill.
9. Valiullin, KR Programm of street lighting power supply control system based on neural network technology / KR Valiullin, SN Shevchenko, NV Garnova — Certificate of registration of software: Orenburg: UFAP. — № 438; publ. 04.03.09.
10. Valiullin, KR Street lighting control system stand / KR Valiullin // Works of the All-Russian Scientific and Technical conference, "Energy: status, problems and prospects" — Orenburg LLC-PKI "University", 2014. — P. 32-35.
About this article
Author: Semenova N.G.
Year: 2015
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Editor-in-chief |
Sergey Aleksandrovich MIROSHNIKOV |
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