Personal electronic systems for citizen measurements of air quality

Lozano, Jesús; Suárez, José I.; Meléndez, Félix; Rodríguez, Sergio; Arroyo, Patricia; Herrero, José Luis; Carmona, Pablo

doi:10.1109/expat.2019.8876471

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…The communication between the development board and the two sensors will be done through the TWI bus (Two-Wire Interface) and the interconnection mode is shown in Figure 1. The sensors and development board and microprocessor are common components that are commercially available and are currently used in various studies and specialized projects (such as [13], [26], [27], [28]). Given this consideration, one can emphasize the premises for a large-scale implementation of such a dual monitoring system.…”

Section: Dual Monitoring System Based On Iotmentioning

confidence: 99%

Monitor Indoor Air Quality to Assess the Risk of COVID-19 Transmission

Pietraru

Ioniţă

Olteanu

2021

2021 23rd International Conference on Control Systems and Computer Science (CSCS)

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The year 2020 will remain in the memory of all mankind as the year of the COVID-19 pandemic. The pandemic has affected the world economy, caused more than a million deaths in 2020 alone, changed the way people work and learn and, last but not least, changed the way people interact in society. Social distancing, along with wearing a face mask, is the best solution to prevent the spread of COVID-19 virus. What happens when in certain spaces social distance is difficult and can be accidentally violated without intention? In the absence of widely available tests, not only for people but also for surfaces or indoor air, the risk of contamination is very difficult to assess. This paper proposes a simple method, with low cost and widely implementable, to warn of respecting the density of people in a room. It proposes a dual monitoring system based on Internet of Things (IoT) to assess the indoor air quality and risk of COVID-19 transmission.

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Section: Dual Monitoring System Based On Iotmentioning

confidence: 99%

Monitor Indoor Air Quality to Assess the Risk of COVID-19 Transmission

Pietraru

Ioniţă

Olteanu

2021

2021 23rd International Conference on Control Systems and Computer Science (CSCS)

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“…This index ranges between 0 and 500 (0 corresponds to the highest air quality and 500 corresponds to the worst air quality index) [ 64 ]. Some proceedings and conference papers have described the use of the BME680 for the development of indoor air quality monitoring portable and low-cost devices [ 65 , 66 , 67 , 68 ]. The measurement channel for the lab-made sensors is able to measure resistance values from few Ohms to approximately 3 MOhm, although this range could be easily adapted by changing the resistance values of the voltage divider configuration in the conditioning circuit.…”

Section: System Design and Implementationmentioning

confidence: 99%

LoRa Sensor Network Development for Air Quality Monitoring or Detecting Gas Leakage Events

González

Casanova-Cháfer

Romero

et al. 2020

Sensors

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During the few last years, indoor and outdoor Air Quality Monitoring (AQM) has gained a lot of interest among the scientific community due to its direct relation with human health. The Internet of Things (IoT) and, especially, Wireless Sensor Networks (WSN) have given rise to the development of wireless AQM portable systems. This paper presents the development of a LoRa (short for long-range) based sensor network for AQM and gas leakage events detection. The combination of both a commercial gas sensor and a resistance measurement channel for graphene chemoresistive sensors allows both the calculation of an Air Quality Index based on the concentration of reducing species such as volatile organic compounds (VOCs) and CO, and it also makes possible the detection of NO2, which is an important air pollutant. The graphene sensor tested with the LoRa nodes developed allows the detection of NO2 pollution in just 5 min as well as enables monitoring sudden changes in the background level of this pollutant in the atmosphere. The capability of the system of detecting both reducing and oxidizing pollutant agents, alongside its low-cost, low-power, and real-time monitoring features, makes this a solution suitable to be used in wireless AQM and early warning systems.

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