School of Occupational and Public Health, Ryerson University , Toronto , Ontario , Canada.
Department of Psychology, Ryerson University , Toronto , Ontario , Canada.
J Occup Environ Hyg. 2019 Sep;16(9):620-627. doi: 10.1080/15459624.2019.1639718. Epub 2019 Jul 29.
Noise is a constant and ongoing health hazard across many workplaces and industries worldwide. The effective management of noise-related health effects is primarily dependent on accurate measurements of sound levels. The accuracy and feasibility of smartphone sound level meter applications (apps) for noise monitoring in occupational and environmental scenarios was tested. Ten iOS and Android smartphones were used to conduct sound level measurements with five apps for each respective platform. Five different sound signals were utilized to represent the spectra present in an occupational environment, at four different reference sound levels (60, 70, 80, and 90 dBA) for a total of 1,000 tests. A calibrated Larson Davis LxT sound level meter was used as a reference. Results suggest that across all four measured sound levels the difference in smartphone app performance on the two platform is fairly nuanced. However, at the 90dBA sound level Android apps consistently underreport sound levels. This study concludes that some apps have the possibility to be appropriate for use only as screening tools and cannot be used for accurate determination of sound levels.
噪音是全球许多工作场所和行业中持续存在的健康危害。有效管理与噪音相关的健康影响主要依赖于对声级的准确测量。本研究旨在测试智能手机声级计应用程序(apps)在职业和环境场景中进行噪音监测的准确性和可行性。使用十部 iOS 和 Android 智能手机,分别使用五个应用程序在五个不同的参考声级(60、70、80 和 90 dBA)下对五种不同的声音信号进行了 1000 次声级测量。使用经过校准的 Larson Davis LxT 声级计作为参考。结果表明,在所有四个测量的声级中,两种平台上智能手机应用程序的性能差异相当细微。然而,在 90dBA 的声级下,安卓应用程序始终低估了声级。本研究得出的结论是,某些应用程序可能仅适合用作筛选工具,而不能用于准确确定声级。