Advances in Constructional Engineering
Advances in Constructional Engineering. 2025; 5: (1) ; 10.12208/j.ace.20250006 .
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常熟理工学院 江苏常熟
*通讯作者： 陆梦君,单位：常熟理工学院 江苏常熟；
随着建筑行业的快速发展，传统的建筑质量管理方法已无法满足现代工程项目的需求。本文致力于探索如何运用智能建造技术来解决装配式建筑工程质量管理中遇到的挑战，旨在通过技术创新提高工程项目的质量标准和生产效率。研究针对传统施工模式下常见质量问题提出了智能建造优化方案。通过将相关数据传输至数字管理平台进行汇总、分析和预测，实时监控并评估工程质量，实现施工效率与项目质量的双重提升。
With the rapid development of the construction industry, traditional methods of building quality management can no longer meet the needs of modern engineering projects. This paper aims to explore how intelligent construction technology can solve the challenges encountered in the quality management of prefabricated building projects, with the goal of improving the quality standards and production efficiency of engineering projects through technological innovation. The study proposes intelligent construction optimization solutions for common quality problems in traditional construction modes. By transmitting relevant data to a digital management platform for aggregation, analysis, and prediction, real-time monitoring and evaluation of project quality can be achieved, leading to a dual improvement in construction efficiency and project quality.
[1] 陈珂,丁烈云.我国智能建造关键领域技术发展的战略思考[J].中国工程科学,2021,23(04):64-70.
[2] 聂子翔.装配式建筑工程质量影响因素及改进策略研究[D].中国矿业大学, 2023. DOI:10.27623/d.cnki.gzkyu.2023.001307.
[3] 刘全昕.基于精益建造的EPC装配式工程项目质量管理研究[D].吉林建筑大学, 2022. DOI: 10.27714/d.cnki.gjljs.2022.000097.
[4] Rossi A, Vila Y, Lusiani F, et al. Embedded smart sensor device in
[5] construction site machinery [J]. Computers in Industry, 2019, 108: 12–20. Bucchiarone A, De Sanctis M, Hevesi P, et al. Smart construction: Remote and adaptable management of construction sites through
[6] IoT [J]. IEEE Internet of Things Magazine, 2019, 2(3): 38–45.于欣洋,廖维张.BIM与三维激光扫描在装配式构件误差检测中的应用研究[J].[2024-08-11].
[7] 辜壮群,柏啸.广州市水务工程混凝土管质量监管系统的研发与推广应用[J].工程质量,2019,37(05):7-10+15.
[8] 伍珊.基于智能制造的产品质量管理改进的探索[J].现代工业经济和信息化,2023,13(07):321-324. DOI: 10.16525/j.cnki.14-1362/n.2023.07.109.