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Design strategy of green intelligent building using deep belief network

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Abstract

The purpose is to study and discuss the design of green intelligent buildings based on biophysical design concepts under the background of the Internet of Things (IoT). Firstly, the biomimetic concept is applied to the design and exploration of children's medical building space, and the biophilia color design method is proposed for children's medical building space and green building lighting system based on the IoT. Meanwhile, the influencing factors of biophilia skin color are studied on children's psychological stress relief. The children's medical building designed with Deep Belief Network in the Deep Learning field can effectively detect human motion in various areas, and the lighting system can be automatically activated by passers-by. Then, Questionnaire Survey method is used to understand the practicability and preference of users and verify the effect of biophilia color design. Consequently, an intelligent dimming lighting system is designed by ZigBee technology. The experiment results indicate that the illuminance error is small for the proposed medical green intelligent building lighting system based on the IoT. Therefore, the implantation of biophilia color in children's s medical building space can promote children’s physical and mental health recovery and have a positive impact on people's s emotions, thereby achieving the role of environmental therapy. Moreover, the proposed medical green intelligent building lighting system based on the IoT can detect the position illuminance of children's s medical buildings and realize intelligent dimming.

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Acknowledgments

The authors acknowledge the help from the university colleagues.

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This research received no external funding.

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Authors and Affiliations

  1. School of Management Science and Engineering, Shandong Jianzhu University, Jinan, 250101, China

    Ting Yu & Peidong Sang

  2. China Construction First Bureau Group Co, Ltd., Beijing, 100161, China

    Xiao Yang

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  1. Ting Yu
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  2. Xiao Yang
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  3. Peidong Sang
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All authors listed have made a substantial, direct, and intellectual contribution to the work, and approved it for publication.

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Correspondence to Ting Yu.

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Yu, T., Yang, X. & Sang, P. Design strategy of green intelligent building using deep belief network. Int J Syst Assur Eng Manag 14, 196–205 (2023). https://doi.org/10.1007/s13198-021-01513-0

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  • DOI: https://doi.org/10.1007/s13198-021-01513-0

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