摘 要
随着建筑行业快速发展，施工阶段的质量管理成为确保工程品质和安全的核心环节。然而，传统质量管理体系存在流程繁琐、信息孤岛及响应滞后等问题，难以满足现代工程建设的复杂需求。本研究旨在优化施工阶段质量管理体系，通过引入数字化技术和系统化方法提升管理效率与精准度。研究采用文献分析法梳理质量管理现状与挑战，并结合案例调研深入剖析现有体系的不足。在此基础上，提出基于BIM（建筑信息模型）和大数据技术的集成化质量管理体系框架，该框架能够实现质量数据的实时采集、智能分析与动态反馈。研究结果表明，新体系显著提高了质量问题的识别速度与解决效率，同时降低了人为失误率。此外，通过试点应用验证了该体系在成本控制和工期管理方面的综合优势。本研究的创新点在于将先进技术与质量管理深度融合，构建了适应性强、可扩展性高的优化方案，为行业提供了实践参考。主要贡献体现在推动质量管理从经验驱动向数据驱动转型，为提升工程质量管理水平提供了理论支持和技术路径。
关键词：施工质量管理；BIM技术；大数据；数字化转型；质量数据智能分析
Research on Optimization of Quality Management System in Construction Phase
Abstract: With the rapid development of the construction industry, quality management during the construction phase has become a core component in ensuring project quality and safety. However, traditional quality management systems are plagued by issues such as cumbersome processes, information silos, and delayed responses, which hinder their ability to meet the complex demands of modern engineering projects. This study aims to optimize the quality management system during the construction phase by integrating digital technologies and systematic approaches to enhance both efficiency and accuracy. A literature analysis method was employed to examine the current state and challenges of quality management, complemented by case studies that provided an in-depth analysis of the limitations of existing systems. Based on these findings, an integrated quality management fr amework leveraging BIM (Building Information Modeling) and big data technologies was proposed. This fr amework enables real-time data collection, intelligent analysis, and dynamic feedback of quality-related information. The results indicate that the new system significantly improves the speed of identifying and resolving quality issues while reducing human error rates. Furthermore, pilot applications have demonstrated its comprehensive advantages in cost control and schedule management. The innovation of this research lies in the deep integration of advanced technologies with quality management practices, resulting in a highly adaptable and scalable optimization solution that serves as a practical reference for the industry. The primary contribution of this study is the promotion of a transition from experience-driven to data-driven quality management, providing both theoretical support and technical pathways for enhancing quality management standards in construction projects.
Keywords: Construction Quality Management; Bim Technology; Big Data; Digital Transformation; Intelligent Analysis Of Quality Data
目 录
1绪论 1
1.1施工阶段质量管理的背景分析 1
1.2研究施工阶段质量管理体系的意义 1
1.3国内外研究现状综述 1
1.4本文研究方法与技术路线 2
2施工阶段质量管理现状与问题分析 2
2.1当前施工阶段质量管理的主要特征 2
2.2质量管理中存在的典型问题 3
2.3问题成因的深入剖析 3
2.4现有管理体系的局限性评估 4
2.5改进质量管理的需求分析 4
3施工阶段质量管理体系优化框架设计 5
3.1优化目标与基本原则的确立 5
3.2质量管理体系优化的核心要素 5
3.3优化框架的设计思路与逻辑 6
3.4关键环节的控制策略分析 6
3.5优化框架的可行性验证 7
4施工阶段质量管理体系优化实施路径 7
4.1实施路径的整体规划 7
4.2技术手段在质量管理中的应用 8
4.3人员培训与责任落实机制构建 8
4.4数据驱动的质量监控体系建立 9
4.5持续改进机制的设计与运行 9
结论 10
参考文献 11
致 谢 12
