SmartHat: Self-Monitoring, Analysis, and Reporting Technology for Hazard Avoidance and Training

安全第一！安全是任何工作过程的第一目标。为了完成一个建筑项目，需要诸如工人、大型机器和材料等资源。这些资源经常从建筑工地的一个位置移动到另一个位置。然而，在这个过程中，一些非常常见的事故发生了。其中最常见的包括从较高高度坠落的福尔斯，例如工人从脚手架上坠落或掉入地面的洞中，或工人被较大的机器击中。总体而言，在过去的13年中，美国建筑业每年发生1,000多起死亡事故，占所有行业工作场所死亡事故的25%以上。考虑到印度和中国等发展中国家，安全问题要大得多，这些国家的建设正以疯狂的速度进行。为了解决这个问题，这项研究旨在通过创建方法来提高建筑工人的安全性，在工作现场集成新的传感技术，可以在工人受伤之前尽早自动检测和警告工人。这些技术包括光学系统，如相机或激光器，以及无线系统，如用于检测和跟踪工人、机器和材料的基于无线电的标记。这项研究将建立自动化的现场监测和记录作为建筑安全管理的一个组成部分。此外，这项研究还将提供一套新的工具，用于培训建筑工人和建筑教育工作者在当今日益复杂的建筑工地上进行工人安全的最佳实践。这项研究将导致新的培训材料和做法，将对工人的安全产生直接影响。由于建筑业劳动力资源的多样性，本研究对少数民族的劳动安全和培训也将产生广泛的影响。这项研究将积极包括对土木，电气和计算工程感兴趣的学生。

Safety first! Safety is the first goal in any work process. To finish a construction project, resources such as workers, large machines, and materials are needed. These resources frequently move from one location to another location on the construction site. In this process, however, some very common accidents occur. The most common of these include falls from higher levels, e.g. workers falling from scaffolding or into holes in the ground, or workers being hit by larger machines. Overall, for the last 13 years the United States construction industry has experienced over 1,000 fatalities annually, accounting for more than 25% of all industry workplace fatalities. The problem of safety is much bigger when considering developing countries such as India and China, where construction is proceeding at a frantic pace. To solve it, this research aims to improve construction worker safety by creating methods to integrate new sensing technologies on the job site that can automatically detect and warn workers early enough before getting hurt. These technologies include optical systems, such as cameras or lasers, and wireless systems, such as radio based tagging for detection and tracking of workers, machines, and materials. This research will establish automated site monitoring and recording as an integral part of construction safety management. Additionally, this research will also provide a new set of tools for training construction workers and construction educators in best practices for worker safety at today's increasingly complex construction sites. This research will lead to new training materials and practices that will have a direct impact on worker safety. Because of the inherent diversity of the construction labor pool, this research will have broad impact on labor safety and training for minority groups as well. This research will actively include students with interest in civil, electrical, and computational engineering.