A LoRa enabled IoT-based Air Quality Monitoring System for Smart City

Twahirwa, Evariste; Mtonga, Kambombo; Ngabo, Desire; Kumaran, Santhi

doi:10.1109/aiiot52608.2021.9454232

Cited by 13 publications

(3 citation statements)

References 13 publications

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“…Paper [31] proposed LoraWAN-a domesticated air pollution monitoring system using IoT to track CO 2 and PM2.5 particles. Methodology and algorithms are described in detail.…”

Section: Related Workmentioning

confidence: 99%

Advancements in Mobile-Based Air Pollution Detection: From Literature Review to Practical Implementation

Sladojevic,

Arsenovic,

Nikolic

et al. 2024

Journal of Sensors

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The aim of this paper is to investigate the effectiveness of combining mobile technologies and sensors to detect harmful particles in the air and address the problem of air pollution caused by traffic and exhaust emissions. The paper contains a systematic literature review of information technology research related to pollution detection in order to point out the main obstacles in the field and propose solutions. Furthermore, the paper presents the development of an Android smartphone-based real-time monitoring system that utilizes an external analog sensor board to acquire and evaluate physical measurements. The proposed system is calibrated for CO gas measurements, and it is compared with a commercial gas analyzer instrument. Results imply that the developed system is capable of detecting concentration levels in the air and that the accuracy is within the range of the industrial device’s accuracy.

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“…Paper [31] proposed LoraWAN-a domesticated air pollution monitoring system using IoT to track CO 2 and PM2.5 particles. Methodology and algorithms are described in detail.…”

Section: Related Workmentioning

confidence: 99%

Advancements in Mobile-Based Air Pollution Detection: From Literature Review to Practical Implementation

Sladojevic,

Arsenovic,

Nikolic

et al. 2024

Journal of Sensors

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“…[12] detected PM10, PM2,5, temperature, and humidity, and they developed a protocol for the transmission of georeferenced data via a LoRaWAN network. [13] measured CO 2 and PM2,5 in the cafeteria kitchen and laboratory room of the Department of Science and Technology of the University of Rwanda. As a result, up to 800 ppm CO 2 and 100 ppm PM2,5 were obtained in the kitchen environment, and 500 ppm CO 2 and 0 ppm PM2,5 in the laboratory, over an observation time of 11 months.…”

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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“…Therefore, it is very valuable to establish an efficient, safe and simple cloud server platform [9]. Through investigation, this paper finds that traditional monitoring systems not only have low transmission rates and complex networking, but also low data accuracy [10]. Therefore, in order to improve the monitoring efficiency, this paper uses the LoRa self-organising network method combined with Wi-Fi communication method to design a carbon emission monitoring system with real-time acquisition, stable transmission and accurate monitoring.…”

Section: Introductionmentioning

confidence: 99%

Research on LoRa-based carbon emission monitoring system

Wang,

Fang,

Chen

et al. 2023

Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023)

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At present, the monitoring of carbon emissions is the main basis for achieving China's carbon peak by 2030 and carbon neutral by 2060, and it is also the most effective and important tool for building ecological civilization and achieving carbon peak and carbon neutral goals in each country. With the advancement of technology and the widespread use of the IOT, accurate monitoring systems were once a hot topic of discussion. This paper addresses the problem of accurate monitoring and designs and implements an IoT-based CO2 multi-point monitoring system, monitoring of CO2 as well as CH4 emissions. The monitoring system consists of a data collection and transmission as well as a supervisory platform. The collection terminals use LoRa low-power wireless transmission network to transmit data such as CO2 and CH4 values in real time to the gateway node, which transmits the data to the server by WI-FI network. The web monitoring interface was designed to display the collected CO2, CH4 and terminal location information in real time and to store the data through a MySQL database. Experimental tests have shown that the system can accurately monitor the amount of CO2 data and send data quickly and steadily, enabling real-time monitoring of complex environmental information from remote locations.

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A LoRa enabled IoT-based Air Quality Monitoring System for Smart City

Cited by 13 publications

References 13 publications

Advancements in Mobile-Based Air Pollution Detection: From Literature Review to Practical Implementation

Advancements in Mobile-Based Air Pollution Detection: From Literature Review to Practical Implementation

Air Quality Measurement Using an IoT Network: a Case Study

Research on LoRa-based carbon emission monitoring system

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