AirQ: A Smart IoT Platform for Air Quality Monitoring

Choudhary, Vishal; Teh, Jun Hao; Beltrán, Victoria; Lim, Hyuk

doi:10.1109/ccnc46108.2020.9045550

Cited by 23 publications

(9 citation statements)

References 2 publications

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“…The existing O-AQNs, Urban AirQ, Smart Citizen Kit, SeReNo V1, AirQ Mesh needed improvement in energy efficiency, GPS, time-series vector structuring, and remote data transmission to ensure dynamic air quality mapping [16][17][18][19][20].…”

Section: Related Workmentioning

confidence: 99%

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Real-time Gradient-Aware Indigenous AQI Estimation IoT Platform

Tariq¹,

Abdaoui²,

Touati³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Environmental monitoring has gained significant importance in outdoor air quality measurement and assessment for fundamental survival as well as ambient assisted living. In real-time outdoor urban scale, instantaneous air quality index estimation, the electrochemical sensors warm-up time, cross-sensitivity computation-error, geo-location typography, instantaneous capacity or back up time; and energy efficiency are the six major challenges. These challenges lead to real-time gradient anomalies that effect the accuracy and pro-longed lags in air quality index mapping campaigns for state and environmental/meteorological agencies. In this work, a gradient-aware, multi-variable air quality sensing node is proposed with event-triggered sensing based on position, gas magnitudes, and cross-sensitivity interpolation. In this approach, temperature, humidity, pressure, geo-position, photovoltaic power, volatile organic compounds, particulate matter (2.5), ozone, Carbon mono-oxide, Nitrogen dioxide, and Sulphur dioxide are the principle variables. Results have shown that the proposed system optimized the real-time air quality monitoring for the chosen geo-spatial cluster (Qatar University).

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Section: Related Workmentioning

confidence: 99%

“…The AirQ platform [17] by Vishal et al was a smart and costeffective solution for air quality monitoring. It supported wireless data communication technologies including WiFi, 4G, Bluetooth, LoRa, etc.…”

Section: Urban Airqmentioning

confidence: 99%

Real-time Gradient-Aware Indigenous AQI Estimation IoT Platform

Tariq¹,

Abdaoui²,

Touati³

et al. 2020

Adv. sci. technol. eng. syst. j.

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“…The rule of Em is to solve problems to create a stable community and a safe environment on the planet With recent advances in the science and particular, Artificial Intelligence (AI), machine learning, and the internet of things (IoT), Em has become a Smart Environmental Monitoring system (SEM) [5]. Technology has enabled Em procedures to track environmental impacts more precisely and nvironmental pollution control with other undesirable effects [6]. The concept of smart cities replaces old and outdated ways in which urban environments are created and designed.…”

Section: Introductionmentioning

confidence: 99%

IoT for Smart Environment Monitoring Based on Python: A Review

Haji

Sallow

2021

AJRCoS

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Air pollution, water pollution, and radiation pollution are significant environmental factors that need to be addressed. Proper monitoring is crucial with the goal that by preserving a healthy society, the planet can achieve sustainable development. With advancements in the internet of things (IoT) and the improvement of modern sensors, environmental monitoring has evolved into a smart environment monitoring (SEM) system in recent years. This article aims to have a critical overview of significant contributions and SEM research, which include monitoring the quality of air , water pollution, radiation pollution, and agricultural systems. The review is divided based on the objectives of applying SEM methods, analyzing each objective about the sensors used, machine learning, and classification methods. Moreover, the authors have thoroughly examined how advancements in sensor technology, the Internet of Things, and machine learning methods have made environmental monitoring into a truly smart monitoring system.

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“…Not only is IoT technology used for measuring health data, it is also useful for monitoring harmful pollution in the surrounding environment. Many researchers have developed air pollution detection systems [24][25][26][27][28][29][30][31][32] that directly affect the elderly because they are more adversely affected by pollution.…”

Section: Introductionmentioning

confidence: 99%

“…Micromobility for the elderly requires functional development to meet their needs and to reduce the burden of caregivers, resulting in greater stability and safety. Although the development of devices to monitor elderly health [18][19][20][21][22][23] and to assess air quality [24][25][26][27][28][29][30][31][32] will be developed using IoT technology, in which these devices are often permanently installed and unable to track the outdoor activities of the elderly.…”

Section: Introductionmentioning

confidence: 99%

Design of a Personal Mobility Device for Elderly Users

Phannil

Jettanasen

2021

Journal of Healthcare Engineering

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The ageing society has resulted in imbalances in the population age ratio. The ratio of working-age people was less than that of elderly people resulting in a shortage of elderly caregivers and increased healthcare costs. Although the lifestyle the elderly remains the same, their physical abilities are reduced, requiring them to rely on special equipment when traveling in order to gain more control and safety. Therefore, the Elderly Personal Mobility Device (EPMD) is developed using Internet of Things (IoT) technology to reduce the burden of caregivers, provide freedom and safety for elderly travelers, assess air pollution risks, and alert the occurrence of emergency events. The EPMD is designed in terms of structure, electrical equipment, and sensor systems. First, the shapes, sizes, and thicknesses of the carbon steel used for construction of the EPMD structure are calculated by using SolidWorks software. Next, the electric equipment is carefully selected to meet the requirements of actual use. Finally, the sensor system is designed to monitor the EPMD status and air quality using IoT devices to create a data interface and big data for elderly health service development, as well as an air quality map with distributed measuring stations and a charging station detection system for future use.

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AirQ: A Smart IoT Platform for Air Quality Monitoring

Cited by 23 publications

References 2 publications

Real-time Gradient-Aware Indigenous AQI Estimation IoT Platform

Real-time Gradient-Aware Indigenous AQI Estimation IoT Platform

IoT for Smart Environment Monitoring Based on Python: A Review

Design of a Personal Mobility Device for Elderly Users

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