基于数字自我的智能建设框架

Q2 Decision Sciences International Journal of Crowd Science Pub Date : 2024-09-16 DOI:10.26599/IJCS.2023.9100036
Xiaomeng Liu;Hongbo Sun;Jiarui Lin
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引用次数: 0

摘要

建筑业是我国国民经济的支柱产业,但近年来利润率持续下降。传统的以作业为中心的建筑信息系统无法满足安全、质量和效率的要求。为了解决上述问题,我们提出了以工人、设备和现场为中心的基于数字自我的智能建筑框架。它改变了传统的以工作为中心的建筑信息系统,实现了各部门、各阶段之间信息的有效协调。实践证明,将基于数字自我的智能建筑框架应用到案例中,可以很好地解决信息共享问题。同时,信息的真实性和可靠性也得到了保证。该系统提高了所有参与者的管理效率和信息系统化程度。它使企业和工人对自身有了更全面的了解,并能及时有效地制定应对危险的策略。此外,该系统还有效提高了建筑工程的数字化、自动化和智能化水平,使治理更加准确、更加有效。
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Digital Selves Based Intelligent Construction Framework
Construction is the pillar industry of Chinese national economy, but the profit rate has continued to decline in recent years. The conventional job-centric construction information system cannot meet the requirements for safety, quality, and efficiency. In order to solve the above problems, a digital selves based intelligent construction framework has been proposed which is centred on workers, equipment, and sites. It changes the conventional job-centered construction information system and realizes efficient coordination of information among various departments and stages. Applying the digital selves based intelligent construction framework to the case has been proved to be a good solution to the problem of information sharing. Meanwhile, the authenticity and reliability of the information have been ensured. The system has improved management efficiency and information systematization for all participants. It has enabled companies and workers to have a more comprehensive understanding of themselves and to make timely and effective strategies against hazards. In addition, the system has effectively raised the level of digitalization, automation, and intelligence of construction, making governance more accurate and more effective.
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来源期刊
International Journal of Crowd Science
International Journal of Crowd Science Decision Sciences-Decision Sciences (miscellaneous)
CiteScore
2.70
自引率
0.00%
发文量
20
审稿时长
24 weeks
期刊最新文献
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