Literature DB >> 35923643

The potential use of a NIOSH sound level meter smart device application in mining operations.

Kan Sun1, Chucri A Kardous2, Peter B Shaw2, Brian Kim3, Jessie Mechling3, Amanda S Azman3.   

Abstract

Many mobile sound measurement applications (apps) have been developed to take advantage of the built-in or fit-in sensors of the smartphone. One of the concerns is the accuracy of these apps when compared to professional sound measurement instruments. Previously, a research team from the National Institute for Occupational Safety and Health (NIOSH) developed the NIOSH Sound Level Meter (SLM) app for iOS smart devices. The team found the average accuracy of this app to be within ±1 dBA when using calibrated external microphones with a type 1 reference device and measuring pink noise at levels from 65 to 95 dBA in 5-dBA increments. The studies were conducted in a reverberant noise chamber at the NIOSH Acoustics Laboratory in Cincinnati. However, it is still unknown how this app performs in measuring industrial/mining sound levels outside of a controlled laboratory environment. The current NIOSH study evaluates the NIOSH SLM app to measure sound levels from a jumbo drill (a large mining machine). The study was conducted in a hemi-anechoic chamber at the NIOSH Pittsburgh Mining Research Division and followed by a field evaluation in an underground metal mine. Six different iOS smart devices were used with two types of external microphones chosen from previous studies to measure sound levels during jumbo drill operations, and the results were compared with a reference device. Results show that the average sound levels measured by the NIOSH SLM app are within ±1 dBA of the reference device both in the laboratory and field. However, the type of operation being performed, the selection and use of external microphones, distance from a noise source, and environmental factors (e.g., air movement) may all influence the accuracy of the app's performance. Although additional validation is still needed, the results from this study suggest a potential for using the NIOSH SLM app, with calibrated external microphones, to measure sound levels in mining operations.

Entities:  

Keywords:  71; Secondary subject classification:

Year:  2019        PMID: 35923643      PMCID: PMC9345572          DOI: 10.3397/1/37673

Source DB:  PubMed          Journal:  Noise Control Eng J        ISSN: 0736-2501            Impact factor:   0.527


  8 in total

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Authors: 
Journal:  Fed Regist       Date:  1999-09-13

2.  Prevalence of hearing loss in the United States by industry.

Authors:  Elizabeth A Masterson; SangWoo Tak; Christa L Themann; David K Wall; Matthew R Groenewold; James A Deddens; Geoffrey M Calvert
Journal:  Am J Ind Med       Date:  2012-07-05       Impact factor: 2.214

3.  Survey of noise in coal preparation plants.

Authors:  Jeffrey S Vipperman; Eric R Bauer; Daniel R Babich
Journal:  J Acoust Soc Am       Date:  2007-01       Impact factor: 1.840

4.  Hearing difficulty attributable to employment by industry and occupation: an analysis of the National Health Interview Survey--United States, 1997 to 2003.

Authors:  SangWoo Tak; Geoffrey M Calvert
Journal:  J Occup Environ Med       Date:  2008-01       Impact factor: 2.162

5.  Improving the accuracy of smart devices to measure noise exposure.

Authors:  Benjamin Roberts; Chucri Kardous; Richard Neitzel
Journal:  J Occup Environ Hyg       Date:  2016-11       Impact factor: 2.155

6.  Evaluation of smartphone sound measurement applications.

Authors:  Chucri A Kardous; Peter B Shaw
Journal:  J Acoust Soc Am       Date:  2014-04       Impact factor: 1.840

7.  Evaluation of smartphone sound measurement applications (apps) using external microphones-A follow-up study.

Authors:  Chucri A Kardous; Peter B Shaw
Journal:  J Acoust Soc Am       Date:  2016-10       Impact factor: 1.840

8.  Trends in worker hearing loss by industry sector, 1981-2010.

Authors:  Elizabeth A Masterson; James A Deddens; Christa L Themann; Stephen Bertke; Geoffrey M Calvert
Journal:  Am J Ind Med       Date:  2015-02-17       Impact factor: 2.214

  8 in total

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