scholarly journals Accurate Indoor Sound Level Measurement on a Low-Power and Low-Cost Wireless Sensor Node

2018 ◽  
Author(s):  
Vladimir Risojević ◽  
Robert Rozman ◽  
Ratko Pilipović ◽  
Rok Češnovar ◽  
Patricio Bulic
Keyword(s):  
Low Power ◽  
Sensor Node ◽  
Ambient Noise ◽  
Ieee 802.15.4 ◽  
Low Cost ◽  
Sound Level ◽  
Wireless Sensor ◽  
Sound Level Meter ◽  
Hardware Platform ◽  
Level Meter

Wireless sensor networks can provide a cheap and flexible infrastructure to support the measurement of noise pollution. However, the processing of the gathered data is challenging to implement on resource-constrained nodes, because each node has its own limited power supply, low-performance and low-power micro-controller unit and other limited processing resources, as well as limited amount of memory. We propose a sensor node for monitoring of indoor ambient noise. The sensor node is based on a hardware platform with limited computational resources and utilizes a number of simplifications to approximate more complex and costly signal processing stage. Furthermore, to reduce the communication between the sensor node and a sink node, as well as the power consumed by the IEEE 802.15.4 (ZigBee) transceiver, we perform digital A-weighting filtering and non-calibrated calculation of the sound pressure level on the node. According to experimental results, the proposed sound level meter can accurately measure the noise levels of up to 100~dB, with the mean difference of less than 2~dB compared to Class 1 sound level meter. The proposed device can continuously monitor indoor noise for several days. Despite the limitations of the used hardware platform, the presented node is a promising low-cost and low-power solution for indoor ambient noise monitoring.

scholarly journals Accurate Indoor Sound Level Measurement on a Low-Power and Low-Cost Wireless Sensor Node

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2351 ◽  
Author(s):  
Vladimir Risojević ◽  
Robert Rozman ◽  
Ratko Pilipović ◽  
Rok Češnovar ◽  
Patricio Bulić
Keyword(s):  
Low Power ◽  
Sensor Node ◽  
Ambient Noise ◽  
Ieee 802.15.4 ◽  
Low Cost ◽  
Sound Level ◽  
Wireless Sensor ◽  
Sound Level Meter ◽  
Hardware Platform ◽  
Level Meter

Wireless sensor networks can provide a cheap and flexible infrastructure to support the measurement of noise pollution. However, the processing of the gathered data is challenging to implement on resource-constrained nodes, because each node has its own limited power supply, low-performance and low-power micro-controller unit and other limited processing resources, as well as limited amount of memory. We propose a sensor node for monitoring of indoor ambient noise. The sensor node is based on a hardware platform with limited computational resources and utilizes several simplifications to approximate more complex and costly signal processing stage. Furthermore, to reduce the communication between the sensor node and a sink node, as well as the power consumed by the IEEE 802.15.4 (ZigBee) transceiver, we perform digital A-weighting filtering and non-calibrated calculation of the sound pressure level on the node. According to experimental results, the proposed sound level meter can accurately measure the noise levels of up to 100 dB, with the mean difference of less than 2 dB compared to Class 1 sound level meter. The proposed device can continuously monitor indoor noise for several days. Despite the limitations of the used hardware platform, the presented node is a promising low-cost and low-power solution for indoor ambient noise monitoring.

A low‐cost sound level meter based on personal computer

1999 ◽  
Vol 106 (4) ◽  
pp. 2257-2257
Author(s):  
Guillermo de Arcas ◽  
Juan M. Lopez ◽  
Manuel Recuero ◽  
Alberto Martin
Keyword(s):  
Personal Computer ◽  
Low Cost ◽  
Sound Level ◽  
Sound Level Meter ◽  
Level Meter

HTNMote: A Hardware Platform for Wireless Real-Time Railcar Monitoring and its Performance Analysis

2014 ◽  
Author(s):  
Sushanta Mohan Rakshit ◽  
Michael Hempel ◽  
Pradhumna Shrestha ◽  
Fahimeh Rezaei ◽  
Hamid Sharif ◽  
...  
Keyword(s):  
Low Power ◽  
Real Time ◽  
Ieee 802.15.4 ◽  
Low Cost ◽  
Field Tests ◽  
Hardware Platform ◽  
Hop Count ◽  
Freight Train ◽  
The North ◽  
Depth Analysis

Real-time monitoring of various components of a railcar such as wheel bearing temperature, brake line status, integrity of transported goods and many more has become a key focus area of research for the North American freight railroad industry. The ability for timely detection of abnormalities and impending failures prevents costly accidents, the potential loss of life and damage to the environment. Monitoring also increases overall operational efficiency, reliability and safety of freight railroads. Wireless Sensor Networks (WSN) are an obvious choice for implementing such a monitoring scheme. The accumulated data from various sensors distributed throughout each railcar along the length of the train is transmitted wirelessly using multi-hop transmissions to the locomotive for alerting and monitoring. From there, this information is also transmitted to dispatch centers for further analysis and recording. ZigBee technology based on the IEEE 802.15.4 standard is a popular choice among WSN communication protocols, owing to its low cost and low power requirements. ZigBee performance degrades severely in the long chain-like topology characteristic of the railroad application environment. This effectively disqualifies ZigBee as a candidate technology for such railcar monitoring deployments. To overcome these issues with ZigBee deployments for freight train monitoring we developed our Hybrid Technology Networking (HTN) approach [5–7]. HTN leverages both ZigBee and Wi-Fi communication to achieve reliable communication along an entire freight train. Railcar monitoring nodes are grouped into smaller clusters, within which we utilize ZigBee for its low-power operation and report to each cluster’s gateway node. The gateway nodes of all the clusters on a train communicate using Wi-Fi, to benefit from the high throughput and long communication range. This tiered architecture also results in a drastic reduction in overall hop count for end-to-end communication. In this paper we present HTNMote, a hardware platform that we are developing and employing for real-world evaluation of the HTN protocol. We also present results from our field tests of the HTNMotes at the Transportation Technology Center (TTCI) facility in Pueblo, Colorado, operated by the US Association of American Railroads (AAR). The results show that the use of HTN improves performance of the network by at least an order of magnitude compared to a ZigBee-only network. This paper details the design of our HTNMote platform, present the test setup and results, as well as conduct an in-depth analysis of the obtained results as they relate to railroad operations.

scholarly journals Kajian Tingkat Kebisingan Lingkungan pada Kawasan Pendidikan (Study of Ambient Noise Level in Education Areas)

2018 ◽  
Vol 1 (1) ◽  
pp. 86
Author(s):  
Arini Prasetyani ◽  
Bambang Iswanto ◽  
Hernani Yulinawati
Keyword(s):  
Noise Level ◽  
Ambient Noise ◽  
Sound Level ◽  
Sound Level Meter ◽  
Ambient Noise Level ◽  
Level Meter

<span>Penelitian ini bertujuan untuk menganalisis tingkat kebisingan di lingkungan sekolah (SDN Jatinegara <span>Kaum 03 Pagi dan 01 Pagi) 18 dan membandingkannya dengan baku tingkat kebisingan. Pengukuran <span>kebisingan lingkungan dilakukan selama 2 minggu menggunakan Sound Level Meter pada 12 titik <span>sampling untuk kemudian dihitung nilai Ls nya. Tingkat ketergangguan civitas akademika dianilisis <span>berdasarkan kuisioner yang dibagikan kepada 83 responden sebagai sampel. Berdasarkan hasil <span>pengukuran, hari, rentang waktu dan titik lokasi dengan tingkat kebisingan tertinggi yaitu pada hari Jumat <span>pukul 14.00-17.00 di titik 6 (Lantai 2). Kebisingan di kedua sekolah tersebut telah melewati Baku Mutu <span>Tingkat Kebisingan yang ditetapkan oleh KepmenLH No. 48 Tahun 1996. Jarak tidak selalu mempengaruhi <span>tingkat kebisingan, karena tingkat kebisingan bergantung pada keberadaan <span><em>barrier </em><span>sebagai penghalang <span>kebisingan. Berdasarkan hasil analisis kuisioner, sebanyak 43-47% responden terganggu dengan <span>kebisingan yang terjadi.<br /><span><em><strong>Kata Kunci:</strong> jarak, kebisingan, lantai, Leq, sekolah dasar</em></span></span></span></span></span></span></span></span></span></span></span><br /></span></span></span>

scholarly journals A Self-Powered PMFC-Based Wireless Sensor Node for Smart City Applications

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Daniel Ayala-Ruiz ◽  
Alejandro Castillo Atoche ◽  
Erica Ruiz-Ibarra ◽  
Edith Osorio de la Rosa ◽  
Javier Vázquez Castillo
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Sensor Node ◽  
Smart Cities ◽  
Cloud Services ◽  
Environmental Data ◽  
Security And Privacy ◽  
Wireless Sensor ◽  
Ultra Low Power ◽  
Self Powered

Long power wide area networks (LPWAN) systems play an important role in monitoring environmental conditions for smart cities applications. With the development of Internet of Things (IoT), wireless sensor networks (WSN), and energy harvesting devices, ultra-low power sensor nodes (SNs) are able to collect and monitor the information for environmental protection, urban planning, and risk prevention. This paper presents a WSN of self-powered IoT SNs energetically autonomous using Plant Microbial Fuel Cells (PMFCs). An energy harvesting device has been adapted with the PMFC to enable a batteryless operation of the SN providing power supply to the sensor network. The low-power communication feature of the SN network is used to monitor the environmental data with a dynamic power management strategy successfully designed for the PMFC-based LoRa sensor node. Environmental data of ozone (O3) and carbon dioxide (CO2) are monitored in real time through a web application providing IoT cloud services with security and privacy protocols.

Testing of Sonic-Absorbent Panels’ Behavior in Open-Air Environment

2012 ◽  
Author(s):  
Petru A. Pop ◽  
Patricia A. Ungur ◽  
Liviu Lazar ◽  
Mircea Gordan ◽  
Florin M. Marcu
Keyword(s):  
High Frequency ◽  
Noise Pollution ◽  
Sound Level ◽  
Sound Level Meter ◽  
Data Logger ◽  
Public Buildings ◽  
Gypsum Plaster ◽  
Level Meter ◽  
And Control

One wildly used method to reduce and control the noise pollution in green city’s buildings is using sonic-absorbent panels. Their applications can be multiple, such as the insulation of buildings, acoustic barriers and fences along the highway or in front of supermarkets, hospitals and other public buildings. This paper presents a method for testing the behavior of sonic-absorbent panels in open-air environment. The work represents a carrying on of previous research about absorbent materials from gypsum family, tested in lab conditions. The experiment setup used a dynamic installation and as a sample a stand formed by six sonic-absorbent panels from special modeling alpha-gypsum plaster. This installation has been composed of two loudspeakers for emitting the sound at a well-defined frequency by the first laptop, the microphone for detecting and transmitting the signal to the second laptop for analyzing and processing the data. All operations were performed using MATLAB Programs, while a Data Logger Sound Level Meter type CENTER 332 was put on near the microphone to compare both results. The first experiment of acoustic stand has been realized by setting up the installation at a frequency from 50 Hz to 1250 Hz and altering the distance between loudspeakers and stand at 0.5m to 1m and 1.5m, respectively. The second experiment kept the same test’s conditions, while two and three layers of sonic-absorbent panels formed the stand, respectively, but at same distance from source of 0.5 m. In both tests, the results underlined the good sonic-absorbent properties of these panels, especially at medium and high frequency, which can recommend using the panels for multiple outside applications.

Pemetaan Dan Perhitungan Pemaparan Tingkat Kebisingan Pada Industri Pengolahan Kayu Di Kecamatan Siak, Provinsi Riau

2021 ◽  
Vol 6 (2) ◽  
pp. 68-76
Author(s):  
Aryo Sasmita ◽  
Muhammad Reza ◽  
Rodesia Mustika Rozi
Keyword(s):  
Sound Level ◽  
Sound Level Meter ◽  
Noise Mapping ◽  
Level Meter

Dalam kegiatan operasionalnya CV. X yang bergerak pada pengolahan kayu, berpotensi menimbulkan kebisingan yang berasal dari mesin-mesin yang digunakan dalam proses produksi pallet. Kebisingan di perusahaan ini dapat berpengaruh terhadap kesehatan dan kenyamanan pekerja. Penelitian ini bertujuan untuk mengetahui intensitas kebisingan yang dihasilkan oleh mesin produksi, lama waktu pemaparan, pemetaan kebisingan dan upaya pengendalian kebisingan. Metode pengukuran kebisingan mengacu pada metode noise mapping dan alat yang digunakan adalah Sound Level Meter. Data yang diperoleh kemudian diolah menjadi peta kontur dengan variasi warna biru, hijau, kuning, ungu dan merah. Hasil penelitian menunjukkan tingkat kebisingan tertinggi sebesar 99,4 dB dan tingkat kebisingan terendah sebesar 67,3 dB. Berdasarkan hasil perhitungan menggunakan persamaan NIOSH dari 128 titik pengukuran metode noise mapping terdapat 38 titik dengan tingkat kebisingan >85 dB yang menunjukkan waktu pemaparan di atas standar yang sudah direkomendasikan NIOSH. Tingkat kebisingan tertinggi sebesar 99,4 dB dengan lama pemaparan selama 0,3 jam dan tingkat kebisingan terendah sebesar 67,3 dB dengan lama pemaparan selama 475 jam. Upaya pengendalian yang dapat dilakukan untuk mengurangi kebisingan seperti pengendalian dari sumber, jalur transmisi, dan penerima.

A Sound Level Meter featured with automatic estimation of the measurement uncertainty

Measurement ◽  
2021 ◽  
pp. 110409
Author(s):  
Marco Carratù ◽  
Consolatina Liguori ◽  
Vincenzo Paciello ◽  
Antonio Pietrosanto ◽  
Domenico Russo ◽  
...  
Keyword(s):  
Measurement Uncertainty ◽  
Sound Level ◽  
Sound Level Meter ◽  
Automatic Estimation ◽  
Level Meter
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