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Research on Personnel Information Collaborative Sensing Method of Intelligent Building Based on CPS

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DOI: 10.23977/jnca.2019.41001 | Downloads: 17 | Views: 329

Author(s)

Wang Baoyi 1, Dou Zongjie 1, Zhang Shaomin 1

Affiliation(s)

1 School of Control and Computer Engineering, North China Electric Power University, Baoding, 071003, China

Corresponding Author

Wang Baoyi

ABSTRACT

Distribution of Personnel information within each area of the building is very important for energy efficiency and emission reduction of building energy systems. Staff perception is also the basis for satisfying the office and living environment with the least amount of energy consumption. This paper discusses the methods of staff perception and estimation for building energy systems, and discusses the use of multiple information-aware technologies and multi-source information fusion methods. A method of data acquisition based on pyroelectric sensor and recognition based on convolution neural network is proposed in this paper. At the end of the paper, the experimental results are obtained and compared with the other three methods, which proves the validity of the proposed method.

KEYWORDS

Collaborative Sensing, Intelligent Building, CPS

CITE THIS PAPER

Baoyi, W., Zongjie, D., Shaomin, Z., Research on Personnel Information Collaborative Sensing Method of Intelligent Building Based on CPS, Journal of Network Computing and Applications (2019) 4: 1-6. DOI: http://dx.doi.org/10.23977/jnca.2019.41001.

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