通过整合VR培训和细粒度安全功能部署来提高EOT起重机操作的安全性能
Ashish Garg1,2, Krantiraditya Dhalmahapatra3, Abhishek Verma4
1CoE in Safety Engineering and Analytics, Indian Institute of Technology, Kharagpur, India.
概括
这项研究通过虚拟现实 (VR) 培训和一种新的风险评估模型来提高电动空中旅行 (EOT) 起重机的安全性. 标准操作程序 (SOP) 和基于VR的安全培训 (VRST) 是减轻工业危害的关键.
科学领域:
- 工业安全工程 工业安全工程
- 人与计算机的交互
- 风险管理 风险管理
背景情况:
- 电动空中旅行起重机在工业环境中构成重大危险.
- 现有的风险控制系统 (RCS) 需要加强评估其有效性的方法.
研究的目的:
- 实施和评估EOT起重机的有效风险控制措施.
- 开发一种新的方法,整合虚拟现实 (VR),双高近似粗略数字 (DUARN),安全功能部署 (SFD) 和分析层次过程 (AHP) 来评估RCS的有效性.
主要方法:
- 开发3D虚拟现实环境,用于EOT起重机操作员安全培训.
- 应用颗粒式SFD (GSFD) 方法,使用颗粒式计算来模拟专家意见的不确定性.
- 实施一个三阶段的颗粒式安全之家 (HoS) 来映射危险,启动机制 (IM) 和RCSs.
主要成果:
- 标准操作程序 (SOP) 被确定为安全运营最关键的干预措施.
- 基于VR的安全培训 (VRST) 已被证明对沉浸式危险识别有效.
- 互锁保护装置和智能可穿戴技术提供了额外的安全增强.
结论:
- 综合方法显著改善了工业应用的运行安全框架.
- 在EOT起重机操作中,VRST和强大的SOP对于有效减轻危险至关重要.
- GSFD和HoS模型提供了一个精确的方法来分析复杂的安全不确定性.
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