Development of an IoT-based Real-Time Air Quality Monitoring Device

Moharana, Bikash Kumar; Anand, Prateek; Kumar, Sarvesh; Kodali, Prakash

doi:10.1109/iccsp48568.2020.9182330

Cited by 28 publications

(6 citation statements)

References 6 publications

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“…Among them, f(x) is the Sigmoid function.refere (3)(4)(5)(6)(7)(8)(9)(10)(11) Regarding environmental sensing, the nodes of 2 environmental sensors were set up, including an indoor sensing device and an outdoor sensing device, as shown in Figs. 12 and 13, respectively.…”

Section: Global Fusion Algorithmmentioning

confidence: 99%

Building an indoor air quality monitoring system based on the architecture of the Internet of Things

Sung

Hsiao

2021

J Wireless Com Network

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With rapidly changing technology, people have more and more requirements for thermal comforts regarding indoor temperature, humidity, and wind speed, and pay more attention to air quality. Indoor air quality has serious effects on the elderly, children, and those with respiratory allergies. Based on the architecture of the Internet of Things smart home, this study constructed an indoor air quality monitoring system to explore how people can live in an environment with good air quality. Among the numerous air quality indices (AQIs), the carbon dioxide index and AQI of the American Society of Heating, Refrigerating and Air-Conditioning Engineers are selected as the indices suitable for this study. The common points of the two indices are combined, and then, based on the data of the Environmental Protection Administration, indoor and outdoor environmental parameters are analyzed, and controllable environment variables are simulated to analyze their effects on air quality. This study designed effective load control using fuzzy control and developed a fuzzy rule base for simulation of the environment variables. Decision logic was used to replace the threshold control of indoor air quality in the past, and a comfortable air quality monitoring system was designed by combining the Arduino Uno development board and ESP8266 Wi-Fi wireless transmission modules.

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Section: Global Fusion Algorithmmentioning

confidence: 99%

Building an indoor air quality monitoring system based on the architecture of the Internet of Things

Sung

Hsiao

2021

J Wireless Com Network

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“…Similarly, the advancement of embedded computing, downsizing of electronic devices and the development of IOT has contributed to the technology of Wireless Sensor Networks (WSNs) [7][8][9][10]. WSNs form a large component of IOT systems and have found applications in environmental monitoring, healthcare, safety applications, air quality applications, gas monitoring and agriculture [6,8,[10][11][12][13][14][15]. WSNs usually consist of a series of static or mobile nodes that transmit data to single or multiple base stations, which themselves can be static or mobile.…”

Section: Introductionmentioning

confidence: 99%

Integrated Probe System for Measuring Soil Carbon Dioxide Concentrations

Hassan

Mushinski

Amede

et al. 2023

Sensors

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This article outlines the design and implementation of an internet-of-things (IoT) platform for the monitoring of soil carbon dioxide (CO2) concentrations. As atmospheric CO2 continues to rise, accurate accounting of major carbon sources, such as soil, is essential to inform land management and government policy. Thus, a batch of IoT-connected CO2 sensor probes were developed for soil measurement. These sensors were designed to capture spatial distribution of CO2 concentrations across a site and communicate to a central gateway using LoRa. CO2 concentration and other environmental parameters, including temperature, humidity and volatile organic compound concentration, were logged locally and communicated to the user through a mobile (GSM) connection to a hosted website. Following three field deployments in summer and autumn, we observed clear depth and diurnal variation of soil CO2 concentration within woodland systems. We determined that the unit had the capacity to log data continuously for a maximum of 14 days. These low-cost systems have great potential for better accounting of soil CO2 sources over temporal and spatial gradients and possibly flux estimations. Future testing will focus on divergent landscapes and soil conditions.

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“…The components that primarily form the backbone of IoT are sensors/devices, connectivity, data processing and user interface [14]. Most IoT applications entail a large number of heterogeneous geographically distributed sensors [15].…”

Section: Introduction Toluene (C6h5ch3mentioning

confidence: 99%

“…Most IoT applications entail a large number of heterogeneous geographically distributed sensors [15]. Collection of data by sensors from environment marks the beginning of the IoT process [14].…”

Section: Introduction Toluene (C6h5ch3mentioning

confidence: 99%

Design and Build a System to Minimize the Impact of Toluene Exposure on IoT-Based Workshop Workers

Gastiadi

Zakaria

Yulianto

2022

Jartel

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Toluene is one type of organic solvent that is widely used in industry. Organic solvents can have a negative impact on health when exposed to the human body through inhalation (breathing), digestion (swallowing) and adsorption (skin contact). This compound is widely used as a basic material for solvents, dyes, paints, resins, perfumes, nail polish, gasoline, glue, solvent thinner, immersion ink, and printing. The impact on each human will vary depending on the concentration, duration and toxicity of the solvent. The effects of exposure are generally long-term and short-term. Short-term effects include respiratory complaints and eye irritation in exposed humans. An ESP32 microcontroller, HCHO sensor, and DHT11 sensor were used in this study to construct a system to lessen the effects of toluene exposure on workshop personnel. Temperature and humidity sensors picked up by DHT11 have an average value for each node. Each node's average value for the temperature and humidity sensors detected by DHT11 is available. The average error value is categorized as accurate and good for nodes A and B, which are separated by 2 meters and 4 meters, respectively. Due to the DHT11's error rates, the temperature range is 20C and the humidity range is 5% RH.

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Development of an IoT-based Real-Time Air Quality Monitoring Device

Cited by 28 publications

References 6 publications

Building an indoor air quality monitoring system based on the architecture of the Internet of Things

Building an indoor air quality monitoring system based on the architecture of the Internet of Things

Integrated Probe System for Measuring Soil Carbon Dioxide Concentrations

Design and Build a System to Minimize the Impact of Toluene Exposure on IoT-Based Workshop Workers

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