文章摘要
戴成元,陈阳,李微雨,梁邦勋,刘其舟.基于BIM-遗传算法装配式施工重调度优化研究[J].安徽建筑大学学报,2024,32():
基于BIM-遗传算法装配式施工重调度优化研究
Optimization Study of Assembly Construction Rescheduling Based on BIM-Genetic Algorithm
投稿时间:2023-08-16  修订日期:2023-11-04
DOI:
中文关键词: BIM  遗传算法;装配式; 施工调度
英文关键词: BIM  Genetic algorithm  Assembled type  Construction scheduling
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位E-mail
戴成元* 桂林理工大学 dcy366@126.com 
陈阳 桂林理工大学  
李微雨 桂林理工大学  
梁邦勋 桂林理工大学  
刘其舟 桂林理工大学  
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中文摘要:
      在数字化时代,装配式施工场地广泛应用数字化技术,但对于装配式施工调度问题的研究较少,尚存研究空白。为了解决这一问题,建立了BIM-遗传算法的装配式建筑施工调度框架,并进行施工构件基本活动分解,计算装配式构件工序时间,提出了装配式施工重调度优化流程。通过案例验证所提框架流程在施工班组的调度优化效果,案例结果表明基于初始调度方案,传统右移调度方案作业时间为67.2h,利用本文所提重调度流程方法总施工时间缩短为48.3h,提升率约28%,显著减少了施工作业时间,实现高效的队伍组织和资源分配。研究验证了BIM技术与遗传算法结合应用在装配式施工班组调度中的可行性,为装配式建筑领域提供了有效的施工计划优化方法,进而促进了装配式建筑的数字化应用。
英文摘要:
      In the digital era, digital technology is widely used in assembly construction sites, but there are fewer studies on the assembly construction scheduling problem, and there is still a research gap. In order to solve this problem, an assembly construction scheduling framework with BIM-genetic algorithm is established, and the basic activity decomposition of construction components is carried out to calculate the process time of assembly components, and the assembly construction rescheduling optimization process is proposed. The scheduling optimization effect of the proposed framework process in the construction team is verified through cases, and the case results show that based on the initial scheduling plan, the operation time of the traditional right-shift scheduling plan is 67.2h, and the total construction time is shortened to 48.3h by using the re-scheduling process method proposed in this paper, with an enhancement rate of about 28%, which significantly reduces the construction operation time and achieves efficient team organization and resource allocation. The study verifies the feasibility of the combination of BIM technology and genetic algorithm applied in assembly construction team scheduling, which provides an effective construction plan optimization method for the field of assembly construction, and then promotes the digital application of assembly construction.
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