RADON project: an innovative system to manage gas radon in civil buildings

Amato, Alberto; Calienno, Roberto; Dario, Rita; Lecce, Vincenzo Di; Guaragnella, Cataldo; Marzocca, C.; Popolizio, Marina; Quarto, Alessandro; Recchia, Ivano; Soldo, Domenico; Rízzí, María

doi:10.1109/metroi4.2019.8792899

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…As can be appreciated in Table 3, the architecture presented is comparable with other works. The authors in [10] and [11] have developed APIs for sensor-user communication based on websocket and HTTP. They do not use lightweight messaging protocols.…”

Section: Discussionmentioning

confidence: 99%

“…The work by Amato et al (2019) [10] proposes an IoT architecture to measure radon gas. The authors use sensors, a processing unit as a single-board computer (SBC) to transfer the information via client/server socket application and a communication unit, using WiFi connection or 4G modem, see Figure 3a.…”

Section: Related Workmentioning

confidence: 99%

“…IoT Device IoT Protocol Access Network IoT Platform Amato et al [10] SBC Client/server socket WiFi/4G -Blanco-Novoa et al [11] ESP8266 APIs based on HTTP WiFi Application, Web server Lopes et al [12] RESTful API WiFi and LoRaWAN -…”

Section: Referencesmentioning

confidence: 99%

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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

2021

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This work aims to monitor air quality in places where humans spend most of their time, such as workplaces and homes. Radon gas is a naturally occurring, colourless, odourless and tasteless gas that accumulates in enclosed spaces. It is a radioactive element produced by the decay of its natural parent elements, uranium and thorium, which is harmful to our respiratory system when inhaled. The Internet of Things (IoT) is the key to the problems of contemporary life; we are witnessing an emerging connected world, and these architectures have the potential by using sensors to take data from the physical world, transfer it over the network and store it for further decision making or action. The proposal of this work is based on a radon sensor connected to an IoT device, the Message Queuing Telemetry Transport protocol (MQTT), the Node-RED for managing data flows and a database management system on a web server. The information collected by the sensor is sent by the IoT device to be processed by Node-RED. The obtained data is stored in a database to be represented on a web server. Therefore, this work includes a case study where the technologies involved in the indoor radon gas monitoring system are presented. It is a way to perform radon gas measurements automatically. The final application would allow: displaying radon concentrations on a map with placemarks and updating the information in real-time. The database could record data from other radon sensors that any user wants to associate with this website.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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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

2021

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“…The researches mentioned above are not the only ones from this field. In paper [3], monitoring of radon levels in public buildings is enabled and population notification as well, but mitigation and prediction options are not supported. Greater possibilities are offered by [4] , where option mitigate is also supported, but the focus is only on public buildings and option predict is not supported.…”

Section: Applied Information Technology Session 2 Previous Researchmentioning

confidence: 99%

Web Application for Displaying Results of Air Quality Measurement Using View plus Radon Detector

Eremić¹,

Borjanović²

2023

Proceedings of the International Scientific Conference - Sinteza 2023

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View Plus Radon Detector made by Airthings is a device that allows measuring a number of parameters related to indoor air quality. The device has the ability to connect wirelessly to the Internet, where it is possible to monitor the measurement results later on a purpose-built online platform -Airthings Dashboard. The Airthings Consumer API enables downloading of measured values outside the Airthings Platform as well. This paper presents a web application that allows downloading data from the Airthings Consumer API and displaying them in a graphical environment. This web application was created using React.js, JavaScript, CSS and HTML. The solution presented in this paper is comparable to other studies results that offer similar functionalities. Similar solutions offer the possibility to monitor air quality parameters as well as our solution, taking into account the fact that hardware and software technologies are versatile and we have not found an identical combination of our hardware and software in other solutions. The display of results on the web offered by our solution is an approach that also exists in some other solutions. Mitigation and prediction are components that exist in some of the other solutions, and our goal is to enable our solutions with a support for these components.

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