Literature DB >> 20145895

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

Fu-Chuan Huang1, Tung-Sheng Shih, Jiunn-Fwu Lee, Huan-Ping Chao, Peng-Yau Wang.   

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.

Entities:  

Mesh:

Year:  2009        PMID: 20145895     DOI: 10.1039/b914667a

Source DB:  PubMed          Journal:  J Environ Monit        ISSN: 1464-0325


  3 in total

1.  Development of the chemical exposure monitor with indoor positioning (CEMWIP) for workplace VOC surveys.

Authors:  K K Brown; P B Shaw; K R Mead; R J Kovein; R T Voorhees; A R Brandes
Journal:  J Occup Environ Hyg       Date:  2016       Impact factor: 2.155

Review 2.  Applying Sensor-Based Technology to Improve Construction Safety Management.

Authors:  Mingyuan Zhang; Tianzhuo Cao; Xuefeng Zhao
Journal:  Sensors (Basel)       Date:  2017-08-11       Impact factor: 3.576

3.  Estimating personal exposures from a multi-hazard sensor network.

Authors:  Christopher Zuidema; Larissa V Stebounova; Sinan Sousan; Alyson Gray; Oliver Stroh; Geb Thomas; Thomas Peters; Kirsten Koehler
Journal:  J Expo Sci Environ Epidemiol       Date:  2019-06-04       Impact factor: 5.563

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.