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外挂墙板施工阶段碳排放的智能监测与优化

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建筑行业的温室气体过量排放逐渐引起了人们的关注,且其施工阶段往往面临成本超标、工期延长和碳排放失控等问题,因此,建筑施工阶段碳排放的监测与多目标优化问题成为目前研究重点。为了有效解决上述问题,从物理层、计算层和交互层三部分提出了监测优化系统的框架;以Revit为二次开发平台、利用MySQL建立数据库,搭建了碳排放智能监测与优化平台;以外挂墙板构件施工过程为例,运用融入柔性理念的遗传算法寻找出使得"成本-工期-碳排放"综合目标最适合项目特征的工序执行模式组合及最优解。研究为装配式建筑施工阶段的碳排放监测与优化提供了一套科学、高效的集成化管理技术。
Intelligent monitoring and optimization of carbon emissions in the construction stage of external wall panels
The excessive emission of greenhouse gases in the construction industry has gradually attracted people's attention,and the construction stage often faces problems such as excessive cost,prolonged construction period,and uncontrolled carbon emissions.To solve the above problems,first of all,this article compares and summarizes the existing carbon emission calculation methods and their characteristics.By comparison,the carbon emission factor method is chosen as the carbon emission calculation method in this paper.The construction site's carbon emission accounting boundary is defined and the carbon emission accounting models are established.Moreover,a framework for a monitoring and optimization system is proposed in three parts:the physical layer,the computational layer,and the interaction layer.The physical layer consists of smart meters and equipment such as Radio Frequency Identification(RFID)tags and readers,which are mainly used to obtain construction site data information and upload the data to the computational layer;the computational layer consists of Microsoft Visual Studio 2017 and MySQL database,which is responsible for calculating,storing and calling data,it enables the association of data at the physical layers and the interaction layer;the interaction layer is mainly implemented through the Revit platform,allowing users to monitor carbon emissions in real-time and view the best construction processes.Last but not least,the article takes the construction process of external wall panels as an example,analyses the construction process of external wall panels,and divides each process into three modes:normal mode,rush mode,and economical mode.We summarise the labor,materials,and machinery consumed in different modes,and construct a multi-objective optimization model of"cost-duration-carbon emission".A genetic algorithm incorporating the concept of flexibility is used to find the combination of process execution modes and optimal solutions that best suit the project characteristics in terms of the combined objectives of"cost-duration-carbon emissions".All in all,the article takes Revit as the secondary development platform,establishes a database using MySQL,and builds an intelligent monitoring and optimization platform for carbon emissions.It provides a set of scientific and efficient integrated management technology for carbon emission monitoring and optimization in the construction stage of prefabricated buildings.

environmental engineeringcarbon emission monitoringBuilding Information Modeling(BIM)external wall panelgenetic algorithmmulti-objective optimization

王茹、毛洁、黄炜、林浩杰

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西安建筑科技大学土木工程学院,西安 710055

结构工程与抗震教育部重点实验室,西安 710055

环境工程学 碳排放监测 建筑信息模型(BIM) 外挂墙板 遗传算法 多目标优化

国家自然科学基金项目

51978566

2024

安全与环境学报
北京理工大学 中国环境科学学会 中国职业安全健康协会

安全与环境学报

CSTPCD北大核心
影响因子:0.943
ISSN:1009-6094
年,卷(期):2024.24(4)
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