Full life cycle building energy consumption detection method based on digital twin technology

Tianlong Xiong; Qing Cheng; Chao Yang; Shu Lin; Xianlong Yang

doi:10.1117/12.2627013

2 March 2022 Full life cycle building energy consumption detection method based on digital twin technology

Tianlong Xiong, Qing Cheng, Chao Yang, Shu Lin, Xianlong Yang

Proceedings Volume 12158, International Conference on Computer Vision and Pattern Analysis (ICCPA 2021); 121580Y (2022) https://doi.org/10.1117/12.2627013
Event: 2021 International Conference on Computer Vision and Pattern Analysis, 2021, Guangzhou, China

Abstract

In order to reduce the error of the traditional whole life cycle building energy consumption detection method, this paper designs a building life cycle energy consumption detection method based on digital twin technology. This paper sets up the primary and secondary indicators for energy consumption detection in the whole life cycle of a building, and determines the detection index system. The holographic mirroring capability of the digital twin technology is used to fit the energy consumption detection data of the whole life cycle of the building. This paper divides four stages to adjust the detection method, and realizes the energy consumption detection of the whole life cycle of the building. Experimental results show that the detection error of the designed detection method does not exceed 0.05 kJ, which is significantly lower than the traditional method. It shows that the method in this paper can solve the problem of large errors in traditional full-life-cycle building energy consumption detection methods.

Citation Download Citation

Tianlong Xiong, Qing Cheng, Chao Yang, Shu Lin, and Xianlong Yang "Full life cycle building energy consumption detection method based on digital twin technology", Proc. SPIE 12158, International Conference on Computer Vision and Pattern Analysis (ICCPA 2021), 121580Y (2 March 2022); https://doi.org/10.1117/12.2627013

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