Design of Indoor Air Quality Monitoring Systems

Nasution, Tigor Hamonangan; Hizriadi, Ainul; Tanjung, Kasmir; Nurmayadi, Fitra

doi:10.1109/elticom50775.2020.9230511

Cited by 17 publications

(8 citation statements)

References 17 publications

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“…For cars and light duty motor vehicles, the limits for emission of gaseous pollutants as a function of given reference mass are provided in Tables 2, 3, 4, 5, and 6. The limits will be presented in terms of Type Approval and Conformity of Production evidencing the ability to produce a series of products that exactly match the specification, performance and marking requirements outlined in the type approval documentation [2].…”

Section: Exhaust Emission Limits Of Gaseous Pollutants For Cars and L...mentioning

confidence: 99%

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Design And Development of a Compact Carbon Gas Emission Monitoring Device for Private Vehicles

Teodoro,

Facunla,

Milan

et al. 2024

E3S Web of Conf.

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Poor air quality is a major concern in urban areas, with a large percentage of the population exposed to high levels of pollutants. Using sensor and monitoring technology, devices can automatically and periodically monitor indoor air quality. Containment measures should be taken when dangerous airborne chemicals are detected. Air pollution, both indoors and outdoors, causes health problems. The Philippines faces challenges in air quality reporting due to the high cost of monitoring equipment. A project is underway to collect real-time data using sensors and an Arduino Uno-based monitoring system. The power management design's PCB layouts were completed using two software applications: Eagle CAD for the nano power boost charger circuit and Ultiboard for the boost converter circuit. The layout design adhered to the IPC2221A standards, ensuring accurate component footprints and copper trace width, which were determined based on the current flow through the trace in the PCB design. The circuit boards were carefully sized to be smaller than 4“x4” to enable smooth integration into an air quality monitoring device. The integrated design functioned as a wireless sensing application, effectively monitoring air quality. The carbon gas monitoring system had the capability to detect and collect various gases, including Carbon Dioxide, Nitrogen Monoxide, Carbon Monoxide, and Dust Density. Additionally, it was equipped to measure temperature and humidity. Achieving this required using the Arduino Uno application for programming and incorporating an additional sensor, resulting in a cost-effective design solution. The prototype successfully integrated air quality sensors, microcontrollers, and communication modules. The system's performance was evaluated against existing testing centers, and the results were presented.

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Section: Exhaust Emission Limits Of Gaseous Pollutants For Cars and L...mentioning

confidence: 99%

“…This necessitates the identification of cost-effective measures to mitigate the impacts of pollution gases. [2] The Global ranking of risk factors by deaths from all causes in 2019 is shown in Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

Design And Development of a Compact Carbon Gas Emission Monitoring Device for Private Vehicles

Teodoro,

Facunla,

Milan

et al. 2024

E3S Web of Conf.

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“…The MQ-136 Sulphur Dioxide (SO2) gas sensor measures concentration between the ranges of 1 to 100 ppm [20].…”

Section: Sampling Locationsmentioning

confidence: 99%

Ambient Air Pollution Monitoring and Health Studies Using Low-Cost Internet of Things Monitor within KNUST Community

Afotey,

Quao

2024

JMC

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Urban environments with high industrialization are infested with hazardous chemicals and airborne pollutants. These pollutants CO, O3, SO2, NO2, and PM can have devastating effects on human health, causing both acute and chronic diseases such as respiratory infections, lung cancer, and heart disease. Air pollution monitoring is vital to warn citizens of the health risks associated with exposure to high concentrations of these criteria pollutants. This study designed a low-cost IoT monitor to measure concentration levels of criteria pollutants emitted from transportation sources within Kwame Nkrumah University of Science and Technology environs. Three monitoring sites, KNUST Tech junction, Ayeduase gate junction and KNUST campus junction, were identified as the locations within the proximity of the University for the Deployment of the monitor. Hourly and mean daily CO, NO2, O3 and SO2 concentrations at each of the three sites were measured for a week using the IoT monitor, when students were in school and when students were on vacation. The average daily CO, NO2 and O3 concentrations measured at the selected locations when school was in session and during vacation were presented on histogram. The mean weekly concentrations of CO, NO2 and O3 were also estimated as 13.2ppm, 0.277ppm and 0.106ppb respectively at KNUST Tech junction; 10.1ppm, 0.254ppm and 0.110ppb respectively at Ayeduase gate junction; and 8.0ppm, 0.415ppm and 0.100ppb respectively at the KNUST campus junction when school was in session. The results show that the concentrations of all the pollutants were higher and exceeded the EPA standards except for CO at KNUST Campus junction monitoring site. These high levels of emissions is an indication of a health concern for the students at the university and university authorities can device means of curbing it.

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“…An IoT sensing architecture is usually based on a device that collects data from sensors via wired or wireless network (WSN), and, depending on the structure of the IoT architecture, send it to processors that implement data processing at the edge or forwards it, acting as a gateway, to cloud or fog devices (Ahmed et al, 2020;Mumtaz et al, 2021). Regarding the processors used in edge-IoT nodes for air quality, the concept of single-board computer (SBC) has been widely spread, and they are usually implemented with Raspberry devices (Pi 3 and Pi 4 models, typically) based on ARM processors (Kiruthika and Umamakeswari, 2018;Kumar and Jasuja, 2017;Zhang et al, 2021), Arduino devices (Uno model, typically) based on Atmel microcontrollers (Abraham and Li, 2014;Firdhous et al, 2017;Karami et al, 2018), system-on-a-chip (SoC) devices such as ESP32 (Nasution et al, 2020;Tas ¸tan and Gökozan, 2019) and ESP8266/NodeMCU (Siva Nagendra Reddy et al, 2018), and integrated wireless sensor modules (IWSM) that embed in the same board a low-cost microcontroller, a RF circuit and some sensors (Kim et al, 2017). In other IoT implementations, more powerful processing devices are added to the edge to reduce computing times in the ML model implementation, such as GPUs, in which the Nvidia manufacturer has a clear dominance with models such as Jetson Nano (Shah et al, 2020) and GeForce RTX (Cosoli et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning

Gamazo-Real,

Torres Fernández,

Murillo Armas

2023

Engineering Applications of Artificial Intelligence

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Design of Indoor Air Quality Monitoring Systems

Cited by 17 publications

References 17 publications

Design And Development of a Compact Carbon Gas Emission Monitoring Device for Private Vehicles

Design And Development of a Compact Carbon Gas Emission Monitoring Device for Private Vehicles

Ambient Air Pollution Monitoring and Health Studies Using Low-Cost Internet of Things Monitor within KNUST Community

Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning

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