摘 要
随着建筑行业规模的不断扩大和施工项目复杂性的持续提升，传统施工现场管理模式已难以满足高效、精准的管理需求，智慧工地技术应运而生并成为推动建筑业数字化转型的重要手段。本研究旨在探讨智慧工地技术在施工现场管理中的具体应用及其优化效果，通过引入物联网、大数据分析、人工智能等先进技术，实现对施工现场人员、设备、材料及环境的全方位监控与智能化管理。研究采用文献分析法梳理国内外智慧工地技术发展现状，并结合实际案例设计了一套基于多源数据融合的智慧工地管理系统，该系统能够实时采集、处理和反馈施工现场各类信息，从而显著提高管理效率和决策科学性。研究结果表明，智慧工地技术的应用不仅有效降低了安全事故发生率，还大幅提升了资源利用效率和工程进度控制能力。特别是在人员定位管理、设备运行监测以及环境参数预警等方面，创新性地提出了基于深度学习的异常行为识别算法和动态风险评估模型，为施工现场的安全管理和质量控制提供了有力支持。综上所述，本研究通过理论分析与实践验证相结合的方式，证明了智慧工地技术在现代建筑施工中的重要价值，为促进建筑行业的智能化升级提供了有益参考。
关键词：智慧工地技术；施工现场管理；物联网
ABSTRACT
With the continuous expansion of the construction industry and the increasing complexity of construction projects, traditional on-site management models are struggling to meet the demands for efficient and precise management. In response to these challenges, smart construction site technology has emerged as a critical driver of digital transformation in the construction sector. This study investigates the specific applications and optimization effects of smart construction site technology in on-site management. By integrating advanced technologies such as the Internet of Things (IoT), big data analytics, and artificial intelligence, this approach enables comprehensive monitoring and intelligent management of personnel, equipment, materials, and environmental conditions at construction sites. The research employs a literature analysis method to review the current development status of smart construction site technology both domestically and internationally. Furthermore, it designs a multi-source data fusion-based smart construction site management system by drawing on practical case studies. This system is capable of real-time data collection, processing, and feedback of various types of information from construction sites, thereby significantly enhancing management efficiency and decision-making scientificity. The results indicate that the application of smart construction site technology not only effectively reduces the incidence of safety accidents but also substantially improves resource utilization efficiency and project schedule control capabilities. Specifically, in areas such as personnel positioning management, equipment operation monitoring, and environmental parameter warnings, innovative solutions have been proposed, including deep-learning-based abnormal behavior recognition algorithms and dynamic risk assessment models. These advancements provide robust support for safety management and quality control at construction sites. In conclusion, through a combination of theoretical analysis and practical validation, this study demonstrates the significant value of smart construction site technology in modern construction practices and offers valuable insights for promoting the intelligent upgrading of the construction industry.
Keywords: Smart Construction Site Technology; Construction Site Management; Internet Of Things
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 智慧工地技术的研究背景与意义 1
1.2 国内外智慧工地技术研究现状分析 1
1.3 本文研究方法与技术路线设计 2
第2章 智慧工地技术的核心构成与功能分析 3
2.1 智慧工地技术的基本概念与框架体系 3
2.2 物联网技术在智慧工地中的应用实践 3
2.3 大数据分析在施工现场管理中的作用 4
2.4 人工智能技术对工地管理的优化路径 4
2.5 区块链技术在数据安全中的潜在价值 5
第3章 智慧工地技术在施工现场管理中的具体应用 6
3.1 安全管理中智慧技术的应用场景分析 6
3.2 质量控制中的智能化解决方案探讨 6
3.3 进度管理中智慧技术的实施策略研究 7
3.4 成本控制中数据驱动的决策支持机制 7
3.5 环境监测中智慧技术的创新应用模式 8
第4章 智慧工地技术实施的挑战与对策研究 9
4.1 技术集成中的难点与解决思路分析 9
4.2 数据标准化建设的必要性与实现路径 9
4.3 施工人员数字化素养提升的策略探讨 10
4.4 智慧工地技术推广中的经济成本考量 10
4.5 政策支持对智慧工地发展的影响研究 11
结论 12
参考文献 13
致 谢 14
