向研究团队介绍了三种危险识别策略:1）增强虚拟安全（SAVES）系统，让工人沉浸在超现实的增强环境中进行培训；2） 工前安全会议质量测量（SMQM）成熟度模型，有助于持续改进工前危险识别和沟通过程；3）基于视觉线索的危险识别和传输板（HIT板），用于记录任务评估和实时测试期间的危险- 随着工作的进展，时间也在流逝。解释如何实施每种策略。注:本出版物附带的测试版软件是概念证明，仅供参考。通过下载或购买本出版物，您理解并接受其附带的软件可能会停止在未来平台上正常打开或运行，且不受CII支持或维护。本出版物及其软件均受CII规定的适用版权限制的保护。 任何有兴趣使用本软件的各方，请联系CII副总监进行部署，讨论许可事宜。

Introduces the research teams three hazard recognition strategies: 1) a system for augmented virtuality safety (SAVES) that immerses workers in a hyper-realistic augmented environment for training; 2) a pre-job safety meeting quality measurement (SMQM) maturity model that facilitates continuous improvement of the pre-job hazard identification and communication process; and 3) a visual cue-based hazard identification and transmission board (HIT board) that records hazards during task evaluation and real-time as the job progresses. Explains how to implement each strategy.NOTE: This publication's accompanying beta software is a proof of concept and is available for informational purposes only.By downloading or purchasing this publication, you understand and accept that its accompanying software may stop opening or running properly on future platforms and is not supported or maintained by CII.Both the publication and its software are protected by applicable copyright restrictions as set forth by CII.Any party interested in adapting this software is invited to contact CII Associate Director for Deployment to discuss licensing.