Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous Abstract"Multipoint characterization of the emission of odour, volatile organic compounds and greenhouse gases from a full-scale membrane-based municipal WWTP"    Next AbstractAntennal transcriptomes of three tortricid moths reveal putative conserved chemosensory receptors for social and habitat olfactory cues »

Sensors (Basel)


Title:LoRa Sensor Network Development for Air Quality Monitoring or Detecting Gas Leakage Events
Author(s):Gonzalez E; Casanova-Chafer J; Romero A; Vilanova X; Mitrovics J; Llobet E;
Address:"Electronic Engineering, Uiversitat Rovira i Virgili, MINOS, 43007 Tarragona, Spain. JLM Innovation GmbH, 72070 Tubingen, Germany"
Journal Title:Sensors (Basel)
Year:2020
Volume:20201031
Issue:21
Page Number: -
DOI: 10.3390/s20216225
ISSN/ISBN:1424-8220 (Electronic) 1424-8220 (Linking)
Abstract:"During the few last years, indoor and outdoor Air Quality Monitoring (AQM) has gained a lot of interest among the scientific community due to its direct relation with human health. The Internet of Things (IoT) and, especially, Wireless Sensor Networks (WSN) have given rise to the development of wireless AQM portable systems. This paper presents the development of a LoRa (short for long-range) based sensor network for AQM and gas leakage events detection. The combination of both a commercial gas sensor and a resistance measurement channel for graphene chemoresistive sensors allows both the calculation of an Air Quality Index based on the concentration of reducing species such as volatile organic compounds (VOCs) and CO, and it also makes possible the detection of NO(2), which is an important air pollutant. The graphene sensor tested with the LoRa nodes developed allows the detection of NO(2) pollution in just 5 min as well as enables monitoring sudden changes in the background level of this pollutant in the atmosphere. The capability of the system of detecting both reducing and oxidizing pollutant agents, alongside its low-cost, low-power, and real-time monitoring features, makes this a solution suitable to be used in wireless AQM and early warning systems"
Keywords:Aqm IoT LoRa Wsn graphene;
Notes:"PubMed-not-MEDLINEGonzalez, Ernesto Casanova-Chafer, Juan Romero, Alfonso Vilanova, Xavier Mitrovics, Jan Llobet, Eduard eng 823895/H2020 Marie Sklodowska-Curie Actions/ RTI2018-101580-B-I00/Ministerio de Ciencia e Innovacion/ 2017SGR418/Agencia de Gestio d'Ajuts Universitaris i de Recerca/ ICREA Academia Award 2018/Institucio Catalana de Recerca i Estudis Avancats/ Switzerland 2020/11/05 Sensors (Basel). 2020 Oct 31; 20(21):6225. doi: 10.3390/s20216225"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 21-11-2024