智能安全帽在建筑工地坠落防护中的优化设计 -安全工程专业

摘要

随着建筑行业对安全防护要求的不断提高，坠落事故已成为建筑工地中最常见的安全隐患之一。为有效降低坠落风险并提升工人安全保障水平，本研究聚焦于智能安全帽在建筑工地坠落防护中的优化设计。研究旨在通过集成先进的传感器技术和数据分析算法，开发一种具备实时监测、预警及数据反馈功能的智能安全帽系统。为此，采用多学科交叉方法，结合人体工学、电子工程和人工智能技术，设计了包含加速度传感器、陀螺仪和GPS模块的硬件架构，并构建了基于深度学习的坠落检测模型以提高识别精度。实验结果表明，该智能安全帽能够在坠落发生后1秒内完成检测并触发警报，同时将位置信息发送至监控中心，显著缩短了应急响应时间。此外，通过对实际工地环境的数据采集与分析，验证了系统的稳定性和可靠性。本研究的主要创新点在于实现了坠落防护从被动应对到主动预防的转变，同时兼顾设备轻量化与佩戴舒适性。研究成果为建筑工地安全管理提供了新思路，具有重要的实践意义和推广应用价值。

关键词：智能安全帽；坠落防护；实时监测；深度学习；建筑工地安全

ABSTRACT

With the continuous enhancement of safety protection requirements in the construction industry, fall accidents have become one of the most common safety hazards on construction sites. To effectively reduce the risk of falls and improve workers' safety guarantees, this study focuses on the optimized design of intelligent safety helmets for fall protection in construction environments. The aim is to develop an intelligent safety helmet system equipped with real-time monitoring, early warning, and data feedback functions by integrating advanced sensor technologies and data analysis algorithms. A multidisciplinary approach was adopted, combining ergonomics, electronic engineering, and artificial intelligence, to design a hardware architecture incorporating an accelerometer, gyroscope, and GPS module, as well as to construct a deep-learning-based fall detection model to enhance identification accuracy. Experimental results demonstrate that the intelligent safety helmet can detect a fall and trigger an alarm within one second, while simultaneously transmitting location information to the monitoring center, thereby significantly reducing emergency response time. Furthermore, through data collection and analysis in actual construction site environments, the stability and reliability of the system were verified. The primary innovation of this study lies in transforming fall protection from passive response to active prevention, while also considering device lightweighting and wearing comfort. The research findings provide new insights into safety management on construction sites and possess significant practical implications and application value.

Keywords: Intelligent Safety Helmet; Fall Protection; Real-Time Monitoring; Deep Learning; Construction Site Safety

摘要 I

ABSTRACT II

第1章绪论 1

1.1 智能安全帽优化设计的研究背景 1

1.2 建筑工地坠落防护的意义与价值 1

1.3 国内外研究现状分析 1

1.4 本文研究方法与技术路线 2

第2章智能安全帽的功能需求分析 3

2.1 建筑工地坠落事故特征研究 3

2.2 智能安全帽的核心功能定位 3

2.3 用户需求与场景适配分析 4