Logic representation and reasoning for automated BIM analysis to support automation in offsite construction
Logic representation and reasoning for automated BIM analysis to support automation in offsite construction
复制标题
自动化 BIM 分析的逻辑表示和推理,支持场外施工自动化
DOI:
10.1016/j.autcon.2021.103756
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发表时间:
2021
影响因子:
10.3
通讯作者:
Zhang, Jiansong
中科院分区:
文献类型:
--
作者:
Wong Chong, Oscar;Zhang, Jiansong
In the past decades, a concerning labor shortage is experienced by the labor-driven Architecture, Engineering, and Construction (AEC) industry [[1],[2],[3]]. For instance, in the United States, 80% of the construction companies cannot find trades workers to fill job positions [4]. Just for January of 2020, 267,000 unfilled construction positions were reported in the US [5]. This problem has impacted negatively the productivity in the AEC industry, causing delays and cost overrun in construction projects [6]. In a survey conducted by Construction Labor Market Analyzer, more than 90% of the respondents reported a lower productivity for the years 2014 and 2015 due to the labor shortage [6].Technologies such as offsite construction and automation allow greater efficiency by automating construction processes, which can be translated into higher productivity in the industry. This increase in productivity can relieve some of the strain imposed by the workforce shortage [[7],[8],[9]]. On the one hand, offsite construction provides many benefits over conventional stick-built construction such as working in a controlled environment, the ability to conduct activities in parallel, and improvement of the built quality [[10],[11],[12]]. Automation in construction, on the other hand, includes the application of technologies such as Computer Numerical Control (CNC), robotics, and other automation machines that could be easier to implement in a factory setting than in onsite construction. For example, these technologies can be adopted to support the fabrication and assembly of building components by automating otherwise manual operations. Moreover, automation can improve safety by saving workers from dangerous and heavy-duty tasks and/or in hazardous conditions.
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DOI:
--
发表时间:
1987
期刊:
Journal of computer and system sciences (Print)
影响因子:
--
作者:
J. Makowsky
通讯作者:
J. Makowsky
影响因子:
0.9
作者:
B. Dahn
通讯作者:
B. Dahn
影响因子:
11.1
作者:
Pan, Mi;Linner, Thomas;Bock, Thomas
通讯作者:
Bock, Thomas
影响因子:
11.1
作者:
Gbadamosi, Abdul-Quayyum;Mahamadu, Abdul-Majeed;Aigbavboa, Clinton
通讯作者:
Aigbavboa, Clinton
影响因子:
10.3
作者:
Hexu Liu;Gurjeet Singh;Ming Lu;A. Bouferguene;M. Al-Hussein
通讯作者:
Hexu Liu;Gurjeet Singh;Ming Lu;A. Bouferguene;M. Al-Hussein