The Embodiment and Innovation of Digital Twin Platform in Modern Interior Environment Design

Xiaoyao Chen, Jizhou Li
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Abstract

Abstract In this paper, the digital twin platform for the indoor environment is constructed by combining digital twin technology and modern indoor environment elements to innovate the modern indoor environment design method. The digital twin platform is designed for modern indoor environments in two aspects: data acquisition and 3D model visualization for indoor environments. The indoor environment data are collected, cleaned and quasi-exchanged using sensors, the collected multi-source heterogeneous data of the indoor environment are fused by the time alignment method, and the 3D model of the indoor environment is driven by the design of the 3D model’s operations of translation, rotation and scaling. On this basis, the performance of the indoor environment digital twin platform is analyzed, and the data acquisition method and driving effects of the 3D model are explored. The results show that the data transmission measurement delay is within 20ms, the display delay is within 70ms, the transmission frames per second are basically stabilized at about 200FPS, 100FPS, 60FPS, the accuracy reaches 0.9 in the case of multiple data acquisition, and the fusion speed is about 3.4m/s, and the success rate of the driving operation of the overall three-dimensional model of the indoor environment is all greater than 0.96.
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数字孪生平台在现代室内环境设计中的体现与创新
本文将数字孪生技术与现代室内环境要素相结合,构建室内环境数字孪生平台,创新现代室内环境设计方法。数字孪生平台是针对现代室内环境设计的,主要从室内环境的数据采集和三维模型可视化两个方面进行设计。利用传感器对室内环境数据进行采集、清洗和准交换,采用时间对齐方法对采集到的室内环境多源异构数据进行融合,通过设计室内环境三维模型的平移、旋转和缩放操作驱动室内环境三维模型。在此基础上,分析了室内环境数字孪生平台的性能,探讨了三维模型的数据采集方法和驱动效果。结果表明,数据传输测量延迟在20ms以内,显示延迟在70ms以内,传输帧数每秒基本稳定在200FPS、100FPS、60FPS左右,在多次数据采集的情况下精度达到0.9,融合速度约3.4m/s,室内环境整体三维模型的驱动运行成功率均大于0.96。
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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