RnProbe: A LoRa-Enabled IoT Edge Device for Integrated Radon Risk Management

Pereira, Felisberto; Lopes, Sérgio Ivan; Carvalho, Nuno Borges; Curado, António

doi:10.1109/access.2020.3036980

Cited by 21 publications

(10 citation statements)

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“…The RnMonitor App is a Web Geographic Information System based platform developed for expedite in situ deployment of multiple RnProbes [26], a LoRa-based IoT Edge devices that are installed in buildings to monitor and evaluate the risk of indoor radon gas [44]. These probes are designed to measure radon gas concentration, but also several indoor air quality parameters, such as carbon dioxide concentrations, temperature, relative humidity, atmospheric pressure, and volatile organic compounds.…”

Section: Rnmonitor Appmentioning

confidence: 99%

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Towards a Smart & Sustainable Campus: An Application-Oriented Architecture to Streamline Digitization and Strengthen Sustainability in Academia

et al. 2021

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The concept of the Internet of Things (IoT) has been a recurrent view of the physical technological environment, in the light of which it is expected that everyday artifacts are connected, enhancing the availability and ubiquity of “smart” services. Higher education institutions can be seen as a privileged ecosystem for the development of intelligent and smart solutions, due to its dynamic and everyday changing environment, which includes not only physical infrastructures, digital services, but also people, i.e., students, researchers, lecturers, and staff. This work introduces an Application-oriented Architecture-AoA that has been designed to streamline the design and development of “smart” solutions inside the campus, by focusing on the Application side and reshaping the concept of “service” to a piece of “functionality” with a clear and objective purpose, rather than the classic and conventional approach, more focused on the development or technical sides. The proposed approach provides the mechanism to have multiple applications interacting and sharing data and functionalities, ensuring coexistence between new and legacy systems that are in use on the campus, removing the major drawbacks that basic monolithic applications typically require. The generic AoA model is described and the procedure to create a new application is systematized. Lastly, three case studies (RnMonitor, Refill_H2O, and BiRa) are presented end elaborated using the AoA procedure designed to create a new application.

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Section: Rnmonitor Appmentioning

confidence: 99%

“…IoT Edge Devices (IoT-ED): includes the devices with sensing, actuation, and "smart" control capabilities. These devices can be commercial or application-specific, i.e., devices that were designed in the scope of R&D projects [26,44], or are the result of academic projects (BSc or MSc degrees. Legacy devices can be also included in this pillar; 2.…”

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confidence: 99%

Towards a Smart & Sustainable Campus: An Application-Oriented Architecture to Streamline Digitization and Strengthen Sustainability in Academia

et al. 2021

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“…In [69], Pereira et al presented the design and implementation of the RnProbe, an IoT Edge Device, that collects, aggregates, and transmits up to the cloud several IAQ parameters. The RnProbe prototype is based on the RD200M Radon Gas Sensor from FTLab, and is capable of sensing indoor radon level, atmospheric pressure, air temperature, relative humidity, and CO 2 level.…”

Section: Examined Workmentioning

confidence: 99%

Internet of Things (IoT) Technologies for Managing Indoor Radon Risk Exposure: Applications, Opportunities, and Future Challenges

2021

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Radon gas is a harmful pollutant with a well-documented adverse influence on public health. In poorly ventilated environments, that are often prone to significant radon levels, studies indicate a known relationship between human radon exposure and lung cancer. Recent technology advances, notably on the Internet of Things (IoT) ecosystem, allow the integration of sensors, computing, and communication capabilities into low-cost and small-scale devices that can be used for implementing specific cyber-physical systems (CPS) for online and real-time radon management. These technologies are crucial for improving the overall building indoor air quality (IAQ), contributing toward the so-called cognitive buildings, where human-based control is tending to decline, and building management systems (BMS) are focused on balancing critical factors, such as energy efficiency, human radon exposure management, and user experience, to achieve a more transparent and harmonious integration between technology and the built environment. This work surveys recent IoT technologies for indoor radon exposure management (monitoring, assessment and mitigation), and discusses its main challenges and opportunities, by focusing on methods, techniques, and technologies to answer the following questions: (i) What technologies have been recently in use for radon exposure management; (ii) how they operate; (iii) what type of radon detection mechanisms do they use; and (iv) what type of system architectures, components, and communication technologies have been used to assist the referred technologies. This contribution is relevant to pave the way for designing more intelligent and sustainable systems that rely on IoT and Information and Communications Technology (ICT), to achieve an optimal balance between these two critical factors: human radon exposure management and building energy efficiency.

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“…Currently, several IoT-based Radon monitoring architectures are being proposed [39][40][41][42][43][44][45]. Typically, these devices are designed for online monitoring, i.e., Radon levels are continuously collected and communicated to a cloud for further analytics, and after reasoning, specific mitigation actions can be performed.…”

Section: Introductionmentioning

confidence: 99%

Designing an Indoor Radon Risk Exposure Indicator (IRREI): An Evaluation Tool for Risk Management and Communication in the IoT Age

Lopes

Nunes

Curado

2021

IJERPH

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The explosive data growth in the current information age requires consistent new methodologies harmonized with the new IoT era for data analysis in a space–time context. Moreover, intuitive data visualization is a central feature in exploring, interpreting, and extracting specific insights for subsequent numerical data representation. This integrated process is normally based on the definition of relevant metrics and specific performance indicators, both computed upon continuous real-time data, considering the specificities of a particular application case for data validation. This article presents an IoT-oriented evaluation tool for Radon Risk Management (RRM), based on the design of a simple and intuitive Indoor Radon Risk Exposure Indicator (IRREI), specifically tailored to be used as a decision-making aid tool for building owners, building designers, and buildings managers, or simply as an alert flag for the problem awareness of ordinary citizens. The proposed methodology was designed for graphic representation aligned with the requirements of the current IoT age, i.e., the methodology is robust enough for continuous data collection with specific Spatio-temporal attributes and, therefore, a set of adequate Radon risk-related metrics can be extracted and proposed. Metrics are summarized considering the application case, taken as a case study for data validation, by including relevant variables to frame the study, such as the regulatory International Commission on Radiological Protection (ICRP) dosimetric limits, building occupancy (spatial dimension), and occupants’ exposure periods (temporal dimension). This work has the following main contributions: (1) providing a historical perspective regarding RRM indicator evolution along time; (2) outlining both the formulation and the validation of the proposed IRREI indicator; (3) implementing an IoT-oriented methodology for an RRM indicator; and (4) a discussion on Radon risk public perception, undertaken based on the results obtained after assessment of the IRREI indicator by applying a screening questionnaire with a total of 873 valid answers.

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RnProbe: A LoRa-Enabled IoT Edge Device for Integrated Radon Risk Management

Cited by 21 publications

References 21 publications

Towards a Smart & Sustainable Campus: An Application-Oriented Architecture to Streamline Digitization and Strengthen Sustainability in Academia

Towards a Smart & Sustainable Campus: An Application-Oriented Architecture to Streamline Digitization and Strengthen Sustainability in Academia

Internet of Things (IoT) Technologies for Managing Indoor Radon Risk Exposure: Applications, Opportunities, and Future Challenges

Designing an Indoor Radon Risk Exposure Indicator (IRREI): An Evaluation Tool for Risk Management and Communication in the IoT Age

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