Research on Building Visualization Construction Dynamic Simulation System Based on Data Analysis

In the field of contemporary construction engineering, the traditional construction management paradigm is facing unprecedented challenges, especially in the visualization and dynamic monitoring of the construction process. This system relies on the sensor network under the Internet of Things (IoT) architecture to accurately capture multi-dimensional information on construction sites, including but not limited to key indicators such as material consumption dynamics, personnel flow trajectories, and mechanical equipment operation status. The user satisfaction rating is as high as 4.5 out of 5, especially in terms of usability, standing out with a high score of 4.6, highlighting its user-friendly interface and convenient operation. This study not only provides a new perspective and tool for construction management, significantly enhancing the transparency and controllability of the construction process through visualization methods, but also greatly promotes the application of data-driven decision-making in the construction industry, providing strong support for accurate identification and high efficiency of project risks.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/iciics63763.2024.10859414
Primary Topic
Simulation and Modeling Applications
Type
article
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article

Research on Building Visualization Construction Dynamic Simulation System Based on Data Analysis

Jianmin Zheng, Yuhong Wang, Chen Zheng
Simulation and Modeling Applications
article

Research on Building Visualization Construction Dynamic Simulation System Based on Data Analysis

Jianmin Zheng, Yuhong Wang, Chen Zheng
article en

Abstract

In the field of contemporary construction engineering, the traditional construction management paradigm is facing unprecedented challenges, especially in the visualization and dynamic monitoring of the construction process. This system relies on the sensor network under the Internet of Things (IoT) architecture to accurately capture multi-dimensional information on construction sites, including but not limited to key indicators such as material consumption dynamics, personnel flow trajectories, and mechanical equipment operation status. The user satisfaction rating is as high as 4.5 out of 5, especially in terms of usability, standing out with a high score of 4.6, highlighting its user-friendly interface and convenient operation. This study not only provides a new perspective and tool for construction management, significantly enhancing the transparency and controllability of the construction process through visualization methods, but also greatly promotes the application of data-driven decision-making in the construction industry, providing strong support for accurate identification and high efficiency of project risks.

Wenzhou Municipal Sci-Tech Bureau (CN)
Sustainable cities and communities
Openalex Percentile: Top 68%
Simulation and Modeling Applications
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