基于大数据的建筑施工质量控制方法研究  

Research on Construction Quality Control Method Based on Big Data

作　　者：周静[1] 杨传光 Zhou Jing;Yang Chuanguang(Shaanxi Open University(Shaanxi Business Vocational College),Xi’an,70065)

机构地区：[1]陕西开放大学(陕西工商职业学院),西安710065

出　　处：《建设科技》2025年第7期84-86,共3页Construction Science and Technology

基　　金：陕西开放大学(陕西工商职业学院)2022年度科研项目重点课题:EPC模式下装配式建筑项目综合效益评价研究(2022KY-A01)。

摘　　要：建筑施工质量控制涉及精度管理、结构稳定性及环境影响调控。传统施工依赖人工检测,难以满足复杂环境下的高效精准管理。大数据技术提升施工监测精度,推动低碳健康建筑发展,加速行业智能化转型。本文研究基于大数据的建筑施工质量控制方法,提出传感采集实时监测、质量分析智能评估、数据驱动反馈控制三大技术体系,构建智能化质量管理框架,并对施工质量、施工效率、环境效益进行案例对比,验证大数据方法在提高施工精度、优化资源利用、降低碳排放方面的优势,为行业提供创新的质量管理方案。Building construction quality control involves precision management,structural stability,and environmental impact control.Traditional construction relies on manual inspection,which is difficult to meet efficient and accurate management in complex environments.Big data technology can improve the accuracy of construction monitoring,promote the development of low-carbon and healthy buildings,and accelerate the intelligent transformation of the building industry.The paper studies the construction quality control method based on big data,proposes three technical systems:real-time monitoring of sensor acquisition,intelligent evaluation of quality analysis,and data-driven feedback control,so as to construct an intelligent quality management framework.By comparing construction quality,construction efficiency,and environmental benefits through case studies,it is verified that big data methods enjoy the advantages in improving construction accuracy,optimizing resource utilization,and reducing carbon emissions,providing innovative quality management solutions for the industry.

关 键 词：大数据 施工质量控制 物联网 机器学习 低碳建筑 

分 类 号：TU712.3[建筑科学—建筑技术科学]