The potential use of a NIOSH sound level meter smart device application in mining operations.
71
Secondary subject classification:
Journal
Noise control engineering journal
ISSN: 0736-2501
Titre abrégé: Noise Control Eng J
Pays: United States
ID NLM: 101664929
Informations de publication
Date de publication:
01 Jan 2019
01 Jan 2019
Historique:
entrez:
4
8
2022
pubmed:
1
1
2019
medline:
1
1
2019
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 35923643
doi: 10.3397/1/37673
pmc: PMC9345572
mid: NIHMS1790306
doi:
Types de publication
Journal Article
Langues
eng
Pagination
23-30Subventions
Organisme : Intramural CDC HHS
ID : CC999999
Pays : United States
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