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Real time assessment of hand-arm vibration system based on capacitive MEMS accelerometers

机译:基于电容式MEMS加速度计的手臂振动系统实时评估

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摘要

Vibrations are a well known potential cause of health diseases and therefore constitute a main concernudfor the safety of workers in a large number of activities. In order to prevent health hazards, national andudinternational institutions have issued laws and directives which establish recommended limits to theudworkers’ exposure to vibrations during operations. Consequently, if the amount of adsorbed vibrationudexceeds the allowable daily limits the worker has to stop his job. Recent wireless sensing and communicatingudtechnologies can effectively be employed for such purpose, allowing to develop monitoring customizeduddevices at affordable cost which could be easily employed during the workers’ activity. Inudsuch context, the present research proposes an innovative system aimed at estimating the hand–armudexposure to vibration according to the Standard EN ISO 5349-1:2004. In particular the proposed systemudis based on Micro Electro-Mechanical Systems (MEMS) technology and involves the design of a compactudwearable unit to be attached to the waist of the operator and a fixed station for data storage and analysis.udThe paper reports the design of such a system and an experimental test performed on hand held shakersudcommonly employed for olive harvesting. The results highlight the opportunities offered by these emergingudtechnologies in developing intelligent devices to be included in the worker’s equipment which mightudsignificantly modify the current approach to safety management in the next future.
机译:振动是引起健康疾病的众所周知的潜在原因,因此,构成了许多活动中工人安全的主要问题。为了防止对健康的危害,国家和国际机构已经颁布了法律和指令,建立了建议的限值,以限制作业人员在操作过程中的振动。因此,如果所吸收的振动量超过允许的每日限制,则工人必须停止工作。可以有效地将最新的无线传感和通讯技术用于此目的,从而以可承受的成本开发监视定制的ud设备,这些设备可以在工人活动期间轻松使用。在这样的背景下,本研究提出了一种创新的系统,旨在根据标准EN ISO 5349-1:2004估计手部暴露于振动的情况。尤其是,所提出的系统基于微机电系统(MEMS)技术,涉及紧凑的可穿戴单元的设计,该单元可附接到操作员的腰部,并具有固定站,用于数据存储和分析。报道了这种系统的设计以及在通常用于橄榄收获的手持振动器上进行的实验测试。结果突出显示了这些新兴的 udtech技术在开发智能设备中提供的机会,这些智能设备将被包括在工人的设备中,这可能在未来的将来极大地改变当前的安全管理方法。

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