Huang Fu-Chuan, Shih Tung-Sheng, Lee Jiunn-Fwu, Wang Te-Shun, Wang Peng-Yau
Graduate Institute of Environmental Engineering, National Central University, Chung-Li 32001, Taiwan, ROC.
J Environ Monit. 2010 Mar;12(3):748-58. doi: 10.1039/b920684a. Epub 2010 Jan 20.
This paper describes the research using RFEMS (Radio Frequency Identification Exposure Monitoring System), which is designed by applying the task-based active RFID (radio frequency identification) technology, to measure the indoor noise exposure dose in a workplace. The RFEMS and sound level meter are mounted on the vests of eight workers to carry out on-site field test by monitoring the time activity pattern (TAP), and the noise dose level exposed by the workers. The data are recorded and instantaneously transmitted to a computer to be saved in the server and later compared to those obtained using the standard method. The results that have a 0.909 correlation coefficient (R(2)), and 1.64% average measure error confirm the accuracy of using RFEMS for monitoring TAP. Additionally, the combined use of RFEMS and sound level meter leads to the development of a semi noise dosimetry (SND), a real-time electronic indirect noise dosimetry (REIND), and an equivalent electronic recording indirect noise dosimetry (EEIND). The results obtained using these three devices are well correlated with the results monitored by using a PND (personal noise dosimetry) with correlation coefficients (R(2)) of 0.915, 0.779 and 0.873, respectively. The errors of noise dose expressed in TWA (time weight average) for these three methods are 0.81, 1.57 and 1.23 dBA, respectively; they are well within the general errors of the average dosimetries. These observations indicate that the RFEMS developed in this research is applicable for conducting task-based measurements of indoor noise. It uses a relatively inexpensive sound level meter to measure the noise exposure doses that are comparable to those obtained with a standard dosimetry in addition to monitoring the worker's time activity pattern. The findings will assist in studying the source of long-term noise exposed by workers, and hence this devise is a valuable tool for tracing and monitoring long-term noise exposure with reduced manpower requirements.
本文介绍了使用射频识别暴露监测系统（RFEMS）的研究，该系统通过应用基于任务的有源射频识别（RFID）技术设计，用于测量工作场所的室内噪声暴露剂量。将RFEMS和声级计安装在八名工人的背心上，通过监测时间活动模式（TAP）和工人暴露的噪声剂量水平来进行现场实地测试。数据被记录并即时传输到计算机，保存在服务器中，随后与使用标准方法获得的数据进行比较。相关系数（R²）为0.909且平均测量误差为1.64%的结果证实了使用RFEMS监测TAP的准确性。此外，RFEMS和声级计的联合使用促成了半噪声剂量测定法（SND）、实时电子间接噪声剂量测定法（REIND）和等效电子记录间接噪声剂量测定法（EEIND）的开发。使用这三种设备获得的结果与使用个人噪声剂量计（PND）监测的结果具有良好的相关性，相关系数（R²）分别为0.915、0.779和0.873。这三种方法以时间加权平均值（TWA）表示的噪声剂量误差分别为0.81、1.57和1.23 dBA；它们完全在一般剂量测定平均值的误差范围内。这些观察结果表明，本研究中开发的RFEMS适用于进行基于任务的室内噪声测量。它使用相对便宜的声级计来测量噪声暴露剂量，这些剂量与使用标准剂量测定法获得的剂量相当，此外还能监测工人的时间活动模式。这些发现将有助于研究工人长期暴露于噪声的来源，因此该设备是一种有价值的工具，可用于以减少人力需求的方式追踪和监测长期噪声暴露。
