An Internet of Thing Architecture Based on Message Queuing Telemetry Transport Protocol and Node-RED: A Case Study for Monitoring Radon Gas

Medina-Pérez, Alexandra; Sánchez-Rodríguez, David; Alonso-González, Itziar

doi:10.3390/smartcities4020041

Cited by 15 publications

(16 citation statements)

References 17 publications

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“…The equipment used was a sensor based on a pulsed ion chamber, the RD200M [26]. This sensor is broadly used to perform radon measurements [27][28][29][30]. The main characteristics of the sensor for the radon concentration measurements are: Figure 1 shows that the recommended level (about 300 Bq/m 3 ) is sometimes exceeded; in fact, the mean level is 369 Bq/m 3 and the median is 262 Bq/m 3 .…”

Section: Methodsmentioning

confidence: 99%

Machine Learning-Based Radon Monitoring System

et al. 2022

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Radon (Rn) is a biological threat to cells due to its radioactivity. It is capable of penetrating the human body and damaging cellular DNA, causing mutations and interfering with cellular dynamics. Human exposure to high concentrations of Rn should, therefore, be minimized. The concentration of radon in a room depends on numerous factors, such as room temperature, humidity level, existence of air currents, natural grounds of the buildings, building structure, etc. It is not always possible to change these factors. In this paper we propose a corrective measure for reducing indoor radon concentrations by introducing clean air into the room through forced ventilation. This cannot be maintained continuously because it generates excessive noise (and costs). Therefore, a system for predicting radon concentrations based on Machine Learning has been developed. Its output activates the fan control system when certain thresholds are reached.

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Section: Methodsmentioning

confidence: 99%

Machine Learning-Based Radon Monitoring System

et al. 2022

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“…Amato et al [34] created a cyber-physical system to monitor and control human exposure to ionizing radiation. Medina-Pérez et al [35] built an IoT system for real-time radon monitoring, and Forsström et al developed a user-friendly and secure IoT platform for SMEs. Ferreira designed an IoT system to reduce radon levels in enclosed environments.…”

Section: Literature Reviewmentioning

confidence: 99%

Understanding Seasonal Indoor Radon Variability from Data Collected with a LoRa-Enabled IoT Edge Device

2023

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The long-term assessment of radon (Rn) is a critical factor in evaluating the exposure risk faced by building occupants, and it plays a significant role in determining the implementation of Rn remediation strategies aimed at enhancing indoor air quality (IAQ). Meteorological parameters, such as temperature, relative humidity, and atmospheric pressure, as well as geological factors, such as soil properties, uranium content, rock formations, parent rock weathering, and water content, can significantly impact the assessment of Rn exposure risk and the selection of appropriate mitigation measures. A continuous monitoring campaign of a National Architectural Heritage building serving as a museum open to the public for a period of 546 consecutive days was conducted. The results of the in situ investigation revealed a broad range of seasonality in indoor Rn emission, with a negative correlation observed between Rn concentration and air temperature. The data indicated that indoor Rn concentration increases in the winter months as a result of reduced indoor air temperature and decreased air exchange, while it decreases in the summer months due to increased air temperature and enhanced natural ventilation. However, the implementation of high ventilation rates to improve IAQ may result in significant heat losses, thereby affecting the thermal comfort of building occupants during the winter months. Therefore, it is imperative to achieve a balance between ventilation practices and energy efficiency requirements to ensure both IAQ and thermal comfort for building occupants.

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“…In addition to utilizing sensors, IoT also uses MQTT. This protocol, for example, can be used for radon gas monitoring [58]. And also, can be used in soil humidity monitoring [59].…”

Section: Monitoring Systemmentioning

confidence: 99%

“…And also, can be used in soil humidity monitoring [59]. Furthermore, many more studies regarding monitoring systems [58]- [64].…”

Section: Monitoring Systemmentioning

confidence: 99%

Message querying telemetry transfer on IoT applications to enhance technology: a systematic review

Widianto

Ranny

2022

IJRES

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More things are connected to the Internet, making the internet of things (IoT) develop significantly. But IoT also has weaknesses in communication, one of which can be overcome by utilizing message querying telemetry transfer (MQTT) because there are too many benefits of MQTT. Because there have been many published studies regarding MQTT, this study aims to conduct a review utilizing Preferred reporting items for systematic reviews and meta-analyses (PRISMA) on the application of MQTT in IoT applications to enhance technology. The results of using PRISMA were 57 papers selected from this process, which starts from the identification stage, screening, eligibility, and included. The last author found components that can be discussed to enhance technology. In this discussion, several topics will be used to enhance technology, such as; smart technology, security, MQTT performance for IoT, monitoring systems, MQTT comparison, enhancement or optimization. This paper is expected to help academia and industry related to MQTT research that can help IoT to enhance technology quality.

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An Internet of Thing Architecture Based on Message Queuing Telemetry Transport Protocol and Node-RED: A Case Study for Monitoring Radon Gas

Cited by 15 publications

References 17 publications

Machine Learning-Based Radon Monitoring System

Machine Learning-Based Radon Monitoring System

Understanding Seasonal Indoor Radon Variability from Data Collected with a LoRa-Enabled IoT Edge Device

Message querying telemetry transfer on IoT applications to enhance technology: a systematic review

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