McNinch M, Parks D, Jacksha R, Miller A
CDC NIOSH, Spokane, WA, USA.
Min Metall Explor. 2019 May 17;36(4):675-681. doi: 10.1007/s42461-019-0067-5.
Each year, hundreds of mine workers are involved in machinery-related accidents. Many of these accidents involve inadequate or improper use of lockout/tagout (LOTO) procedures. To mitigate the occurrence of these accidents, new safety methods are needed to monitor access to hazardous areas around operating machinery, improve documentation/monitoring of maintenance that requires shutdown of the machinery, and prevent unexpected startup or movement during machine maintenance activities. The National Institute for Occupational Safety and Health (NIOSH) is currently researching the application of Internet of Things (IoT) technologies to provide intelligent machine monitoring as part of a comprehensive LOTO program. This paper introduces NIOSH's two phase implementation of an IoT-based intelligent machine monitoring system. Phase one is the installation of a proof-of-concept system at a concrete batch plant, while phase two involves scaling up the system to include additional sensors, more detailed safety/performance metrics, proximity detection, and predictive failure analysis.
每年，数百名矿工遭遇与机械相关的事故。其中许多事故涉及锁定/挂牌（LOTO）程序使用不足或不当。为减少此类事故的发生，需要新的安全方法来监控操作人员周围危险区域的进入情况，改进需要关停机器的维护文档记录/监控，并防止机器维护活动期间意外启动或移动。美国国家职业安全与健康研究所（NIOSH）目前正在研究物联网（IoT）技术的应用，以提供智能机器监控，作为全面LOTO计划的一部分。本文介绍了NIOSH基于物联网的智能机器监控系统的两阶段实施情况。第一阶段是在混凝土搅拌厂安装概念验证系统，而第二阶段则涉及扩大系统规模，纳入更多传感器、更详细的安全/性能指标、接近检测和预测性故障分析。
