Wi-Fi Wireless Digital Sensor Matrix for Environmental Gas Monitoring

Samotaev, Nikolay; Ivanova, Anastasia; Oblov, Konstantin; Soloviev, Sergey; Vasiliev, Alexey

doi:10.1016/j.proeng.2014.11.684

Cited by 14 publications

(3 citation statements)

References 7 publications

(6 reference statements)

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“…As for data analysis, data were collected through a layered computing system, which facilitated the integration of sensor information and analysis of the captured data. [4] proposed an environmental gas monitoring system using a sensor array with an SPI output. The research consisted of two parts: a client part and a server part.…”

Section: State Of the Art In The International Contextmentioning

confidence: 99%

Air Quality Measurement Using an IoT Network: a Case Study

Penagos

Sanchez

Zafra³

2022

Ing.

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Context: The evaluation of air quality in Colombia is localized; it does not go beyond determining whether the level of the polluting gas at a specific point of the monitoring network has exceeded a threshold, according to a norm or standard, in order to trigger an alarm. It is not committed to objectives as important as the real-time identification of the dispersion dynamics of polluting gases in an area, or the prediction of the newly affected population. From this perspective, the presence of polluting gases was evaluated on the university campus of Escuela Colombiana de Ingeniería Julio Garavito, located north of the city of Bogotá, and the affected population was estimated for the month of October, 2019, using the Kriging geostatistical technique. Method: This study is part of the design and construction of an auxiliary mobile station that monitors and reports complementary information (CO and SO2 gases) to that provided by the Guaymaral meteorological station, located in the north of Bogotá. This information is transmitted through an IoT network to a server, where a database is created which stores the information on polluting gases reported by the 14 stations of the Bogotá air quality monitoring network, the information sent by the auxiliary station, and the statistical information of the population present on the university campus. Pollutant gas data and population information recorded from October 1st to 31st, 2019, are the input for data analysis using the Kriging interpolation method and predicting the affected population on said campus. Results: There is a particulate matter concentration of 29 µg/m3 of PM10 in the coliseum and 12,6 µg/m3 of PM2,5 in building G, in addition to 9,8 ppb of O3 in building I, 14,9 ppb of NO2 in that same building, 0,79 ppb of CO in building C, and 0,65 ppb of SO2 also in building C, thus allowing to infer, according to the Bogotá air quality index, a favorable air quality for a population of 2.131 people who visited the campus university during the aforementioned period. Conclusions: The correct integration of the data in the web server and their analysis, carried out in the R language, allowed determining the approximate indicators of the polluting factors around Escuela Colombiana de Ingeniería Julio Garavito. Additionally, to determine the affected population, these indicators were correlated with the information on the registered population that entered the campus during the period under study. Based on the results obtained, it was concluded that the air quality on the campus of Escuela Colombiana de Ingeniería Julio Garavito is favorable, and that 2.131 people benefited daily from these conditions.

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Section: State Of the Art In The International Contextmentioning

confidence: 99%

Air Quality Measurement Using an IoT Network: a Case Study

Penagos

Sanchez

Zafra³

2022

Ing.

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“…This is especially relevant to the gas WSNs where a gas sensor is the most power hungry component onboard with respect to the typical applications where radio chip plays this role. The hazardous gas concentration is typically measured by WSN using optical, catalytic or semiconductor sensors [3] [4].…”

Section: Introductionmentioning

confidence: 99%

Optimization of power consumption for gas sensor nodes: A survey

Baranov

Spirjakin

Akbari

et al. 2015

Sensors and Actuators A: Physical

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“…Algunos trabajos que han utilizado este tipo de tecnologías son: (Cheng y Ho, 2016) implementaron una tecnología multicanal en redes de sensores inalámbricos ZigBee; (Batista et al, 2014) realizaron un monitoreo inalámbrico de aerogeneradores urbanos por el protocolo ZigBee y (Samotaev et al, 2014) desarrollaron una matriz de sensores digitales inalámbricos Wi-Fi para monitoreo de gas ambiental. En la misma dirección, (Lian et al, 2013) diseñaron un sistema de control inteligente de múltiples sensores basado en la integración de tecnología innovadora a través de redes ZigBee y Wi-Fi; (Choudhury et al, 2015) implementaron un sistema de adquisición de datos sensoriales basado en redes ZigBee y Bluetooth; (Gutiérrez et al, 2014) realizaron un sistema automatizado de riego que utiliza una red de sensores inalámbricos y un módulo GPRS.…”

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Adquisición de Señales Ambientales para un Sistema de Alerta Temprana

2017

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ResumenEl objetivo de este trabajo es presentar la implementación de un prototipo para la adquisición de señales ambientales, el cual hace parte de un sistema de alerta temprana para gestionar posibles inundaciones en la cuenca del río Manzanares en Santa Marta Colombia. Se diseñó un dispositivo que se encarga de monitorear la humedad del suelo, precipitación y nivel de agua del río en estudio; así como registrar, almacenar y enviar estas variables en tiempo real a través de la red móvil celular. El prototipo responde satisfactoriamente en diferentes condiciones de prueba, adquiriendo las señales ambientales y enviando remotamente al servidor. Con la configuración realizada, los sensores muestran salida estable y capacidad de respuesta a cambios bruscos de humedad del suelo y nivel de agua. El dispositivo de adquisición representa un logro en términos de integración de hardware a bajo costo para la mitigación del riesgo debido a las inundaciones. Palabras clave: adquisición de datos; sistema de alerta temprana; humedad del suelo; nivel de agua; precipitación Environmntal Signals Acquisition for an Early Warning System AbstractThis article presents a prototype of environmental signal acquisition system as part of an early warning system, in order to manage possible floods in the Manzanares river basin in Santa Marta, Colombia. The system aims to monitor the soil moisture, rainfall and water level of the site under study, as well as register, store and send these variables in real time through the cellular network. The prototype responds satisfactorily in different test conditions, acquiring the environmental signals and sending remotely to the server. With the performed configuration, sensors show stable output and good response to sudden changes in soil moisture and water level. The acquisition device represents an achievement in terms of low cost hardware integration for risk mitigation due to flooding.

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Wi-Fi Wireless Digital Sensor Matrix for Environmental Gas Monitoring

Cited by 14 publications

References 7 publications

Air Quality Measurement Using an IoT Network: a Case Study

Air Quality Measurement Using an IoT Network: a Case Study

Optimization of power consumption for gas sensor nodes: A survey

Adquisición de Señales Ambientales para un Sistema de Alerta Temprana

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