An inexpensive sensor for noise.

An inexpensive sensor for noise.
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一种廉价的噪声传感器。

DOI:
10.1080/15459624.2018.1438614
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发表时间:
2018
影响因子:
2
通讯作者:
Peters,Thomas
Peters,Thomas
中科院分区:
环境科学与生态学4区
文献类型:
--
作者:
Hallett,Laura;Tatum,Marcus;Thomas,Geb;Sousan,Sinan;Koehler,Kirsten;Peters,Thomas

文献摘要

相似文献

噪声是一种普遍存在的工作场所危害,在空间和时间上都有变化。噪声直接读取仪器的成本阻碍了它们在网络中的使用。这项工作的目标是:(1)开发一种廉价的噪声传感器(<100美元),测量2型声级计(SLM; 1,800美元)±2 dBA范围内的A加权声压级;(2)评估50个噪声传感器,用于廉价的传感器网络。这种廉价的噪声传感器由驻极体电容麦克风、放大器电路和微控制器组成,其外形尺寸较小(28 mm x 47 mm x 9 mm),可以作为独立单元运行。进行了实验室测试,以在5个声级下评估50个新传感器:(1)安静办公室中的环境声音;(2)以10 dBA增量从65-85 dBA的3个粉红噪声测试信号;以及(3)使用SLM校准器的94 dBA。对于65-94 dBA的声级,94%的噪声传感器(n = 46)在SLM的±2 dBA范围内。随着声级的增加,偏差降低,范围从安静办公室的18.3%到94 dBA时的0.48%。在75 dBA至94 dBA范围内,传感器的总体偏倚为0.83%。这些传感器可用于各种用途,并可针对许多应用进行定制,包括集成到固定传感器网络中,用于连续监测制造环境中的噪声。
Noise is a pervasive workplace hazard that varies spatially and temporally. The cost of direct-reading instruments for noise hampers their use in a network. The objectives for this work were to: (1) develop an inexpensive noise sensor (<$100) that measures A-weighted sound pressure levels within ±2 dBA of a Type 2 sound level meter (SLM; ∼$1,800); and (2) evaluate 50 noise sensors for use in an inexpensive sensor network. The inexpensive noise sensor consists of an electret condenser microphone, an amplifier circuit, and a microcontroller with a small form factor (28 mm by 47 mm by 9 mm) than can be operated as a stand-alone unit. Laboratory tests were conducted to evaluate 50 of the new sensors at 5 sound levels: (1) ambient sound in a quiet office; (2) 3 pink noise test signals from 65–85 dBA in 10 dBA increments; and (3) 94 dBA using a SLM calibrator. Ninety-four percent of the noise sensors (n = 46) were within ±2 dBA of the SLM for sound levels from 65–94 dBA. As sound level increased, bias decreased, ranging from 18.3% in the quiet office to 0.48% at 94 dBA. Overall bias of the sensors was 0.83% across the 75 dBA to 94 dBA range. These sensors are available for a variety of uses and can be customized for many applications, including incorporation into a stationary sensor network for continuous monitoring of noise in manufacturing environments.