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基于有源射频识别技术的室内工作者暴露评估研究的时间位置分析

Time location analysis for exposure assessment studies of indoor workers based on active RFID technology.

作者信息

Huang Fu-Chuan, Shih Tung-Sheng, Lee Jiunn-Fwu, Chao Huan-Ping, Wang Peng-Yau

机构信息

Graduate Institute of Environmental Engineering, National Central University, Chung-Li, 32001, Taiwan, ROC.

出版信息

J Environ Monit. 2010 Feb;12(2):514-23. doi: 10.1039/b914667a. Epub 2009 Oct 16.

DOI:10.1039/b914667a
PMID:20145895
Abstract

In this article, we describe the development of a radio frequency identification exposure monitoring system (RFEMS) suitable for tracking and identifying workers' locations in indoor workplaces. Five workers in southern Taiwan wore the RFEMS integrated into their equipment vests. Location and exposure data were transferred to data analysis software for visualization and tabular analysis in real-time. Data were grouped into seven task activity location categories to determine the time spent and percentage reception in each location. The RFEMS could also synchronously indicate the surrounding conditions using various sensors. Additional experiments were focused on locating of boundaries and determining the instrument stability, power sustainability, and reception efficiency in typical environments. The RFEMS instruments provided adequate range for locating (typically ca. 6-45 m in each zone), allowing us to locate subjects within distinct microenvironments and to distinguish between the activities of a variety of workers, the average time activity pattern (TAP) recording deviation for both human observations and RFEMS was ca. 0.21-1.57%. Power consumption experiments revealed that the system could be sustained for more than 124 h. A pilot field test indicated that the RFEMS offers a new level of accuracy for direct quantification of time activity patterns in exposure assessments of indoor workers over long periods of time.

摘要

在本文中,我们描述了一种适用于跟踪和识别室内工作场所工人位置的射频识别暴露监测系统(RFEMS)的开发。台湾南部的五名工人穿着集成了RFEMS的设备背心。位置和暴露数据被传输到数据分析软件,以便进行实时可视化和表格分析。数据被分为七个任务活动位置类别,以确定在每个位置花费的时间和接收百分比。RFEMS还可以使用各种传感器同步指示周围环境条件。额外的实验集中在边界定位以及确定典型环境中的仪器稳定性、功率可持续性和接收效率。RFEMS仪器提供了足够的定位范围(每个区域通常约为6 - 45米),使我们能够在不同的微环境中定位受试者,并区分各种工人的活动,人工观察和RFEMS的平均时间活动模式(TAP)记录偏差约为0.21 - 1.57%。功耗实验表明,该系统可持续运行超过124小时。一项试点现场测试表明,RFEMS为长期评估室内工人暴露中的时间活动模式提供了新的直接量化精度水平。

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