Motion Analysis System (MAS) for production and ergonomics assessment in the manufacturing processes

Motion Analysis System (MAS) for production and ergonomics assessment in the manufacturing processes
复制标题

DOI:
10.1016/j.cie.2018.10.046
复制
发表时间:
2020-01-01
影响因子:
7.9
通讯作者:
Pilati, Francesco
Pilati, Francesco
中科院分区:
工程技术2区
文献类型:
--
作者:
Bortolini, Marco;Faccio, Maurizio;Pilati, Francesco

文献摘要

被引文献

相似文献

如今,在工业4.0革命中运行的智能工厂需要越来越多可靠、快速和自动化的工具来进行生产分析和改进。制造企业,其中人力有一个至关重要的作用,需要能够管理复杂的生产系统在资源利用,产品组合,组件分配和物料搬运优化方面的仪器。在这种情况下,这项工作提出了一个原始的硬件/软件架构,运动分析系统(MAS),针对在普通工业工作站内执行制造/装配任务期间的人体数字化和分析。MAS基于运动捕捉(MOCAP)技术与专门软件的集成,该软件是为在操作员工作期间进行高效和人体工程学分析而开发的。MAS硬件集成了最初为游戏开发的深度摄像头网络(Microsoft Kinect v2(TM),为无标记MOCAP而设计),现在用于工业分析,而原始软件基础设施被编程为自动和定量地提供生产信息(在工作场所内的时间执行和使用空间方面的人工任务分析,手的移动和操作员访问的位置)和人体工程学信息(全身分析,执行所有国际采用的指数OWAS,REBA,NIOSH和EAWS)。这种双重视角使MAS成为面向工作场所分析和设计(在生产力方面)而不忽视操作员健康的工业管理人员的独特而有价值的工具。这一建议的贡献结束了一个真实的工业应用分析水泵装配站:系统设置进行了讨论,并采用MAS获得的关键结果进行了介绍和分析。
Nowadays the Smart Factories operating within the Industry 4.0 revolution, require more and more reliable, fast and automatic tools for production analysis and improvement. Manufacturing companies, in which the human labour has a crucial role, need instruments able to manage complex production systems in terms of resource utilization, product mix, component allocation and material handling optimization.In this context, this work presents an original hardware/software architecture, Motion Analysis System (MAS), aimed at the human body digitalization and analysis during the execution of manufacturing/assembly tasks within the common industrial workstation. MAS is based on the integration of the Motion Capture (MOCAP) technology with an ad hoc software developed for productive and ergonomic analysis of the operator during his work. MAS hardware integrates a network of depth cameras initially developed for gaming (Microsoft Kinect v2 (TM), conceived for markerless MOCAP) and now used for industrial analysis, while an original software infrastructure is programmed to automatically and quantitatively provide productive information (human task analysis in terms of time execution and used space within the workplace, movements of hands and locations visited by the operator) and ergonomic information (full body analysis implementing all the internationally adopted indexes OWAS, REBA, NIOSH and EAWS). This double perspective makes MAS a unique and valuable tool for industrial managers oriented to the workplace analysis and design (in terms of productivity) without neglecting the operator health. This proposed contribution ends with a real industrial application analysing a water pump assembly station: the system setup is discussed and the key results obtained adopting MAS are presented and analysed.