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Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology. L&E 26 (4) 2018

Light & Engineering 26 (4)

Volume 26
Date of publication 12/20/2018
Pages 143–149

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Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology. L&E 26 (4) 2018
Articles authors:
Ruijie CHENG

Ruijie CHENG, Associate Professor, graduated from Jianghan University in 2005. Mainly engaged in computer application field of teaching and research. Since the work, with solid professional skills and theoretical knowledge, she published more than 10 professional papers

Abstract:
In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.
References:
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