Smart SCADA system for urban air pollution monitoring

Tomić, Josif; Kušljević, M.D.; Vidaković, Milan; Rajs, Vladimir

doi:10.1016/j.measurement.2014.08.036

Cited by 16 publications

(6 citation statements)

References 15 publications

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“…Denetim kontrolü ve veri toplama (SCADA) sistemi, algılayıcılar aracılığıyla dağıtılmış süreçlerden veri toplar ve bu veriler merkezi bir bilgisayar tarafından ön işlemden geçirilerek saklanır. Sistem, insan operatör tarafından işlenen verilere dayalı olarak komutları otomatik olarak veya manuel olarak alabilir [2]. SCADA terimi ilk olarak 1960'larda Bonneville Güç İdaresi'nde sunulmuştur ve ilk olarak Güç Endüstrisi Bilgisayar Uygulamaları kongresinde bildiri olarak yayınlanmıştır.…”

Section: Introductionunclassified

SCADA System: Control and Automation of Lighting System of Urban and Inter-Urban Roads

Ibrahim

2022

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi

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Supervisory Control and Data Acquisition (SCADA) systems are used in various areas such as the automation of oil and water distribution, energy automation, and the automation of water treatment systems. In this study, Visual Studio C#.NET program-based SCADA system software is designed to monitor and control the lighting system for urban and inter-urban roads. In the designed SCADA software, the monitoring and control of all the events of the lighting system of the urban and inter-urban roads are carried out in the form of animated color graphics. These events include how sensors such as light intensity and fault detection in the field and lighting pole equipment work and how they are related. In addition, the designed SCADA software includes daily data of the lighting system of urban and inter-urban roads, alarm management, security management, data archive, and reporting processes. As a result, it has been proven that the SCADA system software designed with the application in the city of Iraq-Kirkuk works simultaneously, error-free, and efficiently in the control of the lighting system of urban and interurban roads.

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Section: Introductionunclassified

SCADA System: Control and Automation of Lighting System of Urban and Inter-Urban Roads

Ibrahim

2022

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi

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“…A supervisory control and data acquisition (SCADA) system for monitoring SO 2 , particulate matter (PM 2.5 ), carbon monoxide (CO), carbon dioxide (CO 2 ), air temperature, and relative humidity (RH) was presented in [17]. This SCADA system was based on smart technologies, and the SO 2 concentration was estimated by using an autoregressive moving average model [14], [15].…”

Section: Introductionmentioning

confidence: 99%

“…This SCADA system was based on smart technologies, and the SO 2 concentration was estimated by using an autoregressive moving average model [14], [15]. Furthermore, in [17], an Android mobile application was designed to allow users to obtain the estimated values of some air pollutants.…”

Section: Introductionmentioning

confidence: 99%

Robust Analysis of the Information Obtained From a Set of 12 Years of SO₂ Concentration Measurements

et al. 2020

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In this paper, a robust analysis of SO 2 concentration measurements taken at the Belisario air quality monitoring station, Quito, Ecuador is carried out. The analyzed data contain 12 years of measurements, from January 2008 to December 2019. In addition, this set of measurements was decomposed into variables that represent each year, month, day of the week, and hour of the day in groups of two hours. For the analysis, classic, nonparametric and robust statistical methods were used, and the data were classified based on criteria established by the Quiteño Air Quality Index, taking confidence intervals into account. The results showed that the level of air pollution at the Belisario station due to the SO 2 concentration is acceptable. In addition, the trend in the level of SO 2 concentration decreased over the years studied, with a sharp drop from 2008 to 2012, then a small rise in 2013 and another fall until 2019, presenting decreasing oscillations that tend toward a desirable level of pollution. In this paper, it was shown that the air pollution at the Belisario station due to the concentration of SO 2 in the last 12 years is not harmful to humans, with the measurement precision provided by robust statistical methods. Therefore, it can be concluded that the measures that have been taken by the Quito city council over the last few years are yielding good results.

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“…In [9], a smart air pollution supervisory control and data acquisition (SCADA) system was developed. This system not only predicts the concentration of air pollutants but also warns the citizens about these types of concentrations, which are harmful to human beings' health.…”

mentioning

confidence: 99%

“…This system not only predicts the concentration of air pollutants but also warns the citizens about these types of concentrations, which are harmful to human beings' health. The system developed in [9] was designed to operate with much data, which came from different monitoring stations in an urban area, perform the statistical analysis of these data, and predict air pollution. The statistical analysis carried out in [9] was performed using the autoregressive moving average (ARMA) technique.…”

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confidence: 99%

Analysis of the Information Obtained From PM_2.5 Concentration Measurements in an Urban Park

Hernández

Méndez

Žalakevičiūtė

et al. 2020

IEEE Trans. Instrum. Meas.

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In this article, parametric and nonparametric statistical inference analysis of a set the measurements of air pollution because of PM 2.5 concentrations was performed. The research work was carried out in an urban park in Quito, Ecuador. Specifically, the park that was chosen to perform the analysis was La Carolina Park. The analysis carried out here was aimed at obtaining the statistical models for parts of this urban park under study and some of its border streets. Furthermore, the park and its border streets were modeled as random variables that were finally classified according to the amount of PM 2.5 concentration levels they carry. This classification was performed by using a method based on both Friedman's test and the categories of the index of air quality of Quito. The results of this article showed that air pollution levels because of PM 2.5 concentrations in La Carolina Park are not in alert level. The worst case, considering the analysis tools used in this article, is that one of the streets that border the park is in caution level. The other streets and parts of the park that were analyzed are either in a desirable level or in an acceptable level. Furthermore, in this article, it has been shown that as pedestrian and temporary residents move further away from the trees and vegetation of the park, the level of exposure to PM 2.5 concentrations that they experience is higher.

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Smart SCADA system for urban air pollution monitoring

Cited by 16 publications

References 15 publications

SCADA System: Control and Automation of Lighting System of Urban and Inter-Urban Roads

SCADA System: Control and Automation of Lighting System of Urban and Inter-Urban Roads

Robust Analysis of the Information Obtained From a Set of 12 Years of SO₂ Concentration Measurements

Analysis of the Information Obtained From PM_2.5 Concentration Measurements in an Urban Park

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Smart SCADA system for urban air pollution monitoring

Cited by 16 publications

References 15 publications

SCADA System: Control and Automation of Lighting System of Urban and Inter-Urban Roads

SCADA System: Control and Automation of Lighting System of Urban and Inter-Urban Roads

Robust Analysis of the Information Obtained From a Set of 12 Years of SO₂ Concentration Measurements

Analysis of the Information Obtained From PM2.5 Concentration Measurements in an Urban Park

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Analysis of the Information Obtained From PM_2.5 Concentration Measurements in an Urban Park