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Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part III

Research Article

Intelligent Control Method of Indoor Physical Environment in Atrium Under Social Information Network

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-50549-2_31,
        author={Hai Huang and Linmei Shi and Xian Zhou},
        title={Intelligent Control Method of Indoor Physical Environment in Atrium Under Social Information Network},
        proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part III},
        proceedings_a={ADHIP PART 3},
        year={2024},
        month={3},
        keywords={Social Information Network Building Atrium Indoor Physical Environment Intelligent Control},
        doi={10.1007/978-3-031-50549-2_31}
    }
    
  • Hai Huang
    Linmei Shi
    Xian Zhou
    Year: 2024
    Intelligent Control Method of Indoor Physical Environment in Atrium Under Social Information Network
    ADHIP PART 3
    Springer
    DOI: 10.1007/978-3-031-50549-2_31
Hai Huang1, Linmei Shi1,*, Xian Zhou2
  • 1: Shanghai Dong Hai Vocational Technical College
  • 2: Institute of Economics and Management, Zhi Xing College of Hubei University
*Contact email: 007001007001@163.com

Abstract

In order to meet the needs of human body for indoor environment, an intelligent control method of indoor physical environment in atrium under social information network is proposed. Considering the fluid dynamic characteristics of the building atrium, the physical environment model of the building atrium is constructed. Use social information network to collect physical environment parameters such as temperature and humidity. Set the environment intelligent control target according to the thermal comfort of human body. The intelligent controller of indoor physical environment is designed by combining fuzzy control and PID control. With the support of control commands, the intelligent control task of indoor physical environment in the atrium of the building is realized. Through the performance test experiment, it is concluded that compared with the traditional control method, the control errors of indoor ambient temperature, humidity and daylighting coefficient are reduced by 0.61℃, 0.51% and 0.145 respectively, while the control error of sound pressure is reduced.

Keywords
Social Information Network Building Atrium Indoor Physical Environment Intelligent Control
Published
2024-03-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-50549-2_31
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