Monitoring of Thermal Dispersion in Indoor Environments: an InfraRed Scanner Technique

Ruffa, Filippo; Lugarà, Mariacarla; Fulco, Gaetano; Palco, Valentina; Capua, C. De

doi:10.1109/metrolivenv54405.2022.9826913

Cited by 2 publications

(5 citation statements)

References 33 publications

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“…Thermographic measurements were performed both in a FLIR IR research environment using a FLIR SC325, taken as a reference instrument, and with an improved version of an IR scanner previously developed by the authors [3], described in the next section.…”

Section: Ir Measurement In Real Spacementioning

confidence: 99%

“…Another solution that was investigated for acquiring thermal images involves an improved version of a low-cost infrared scanner technique that was previously proposed by the authors in another work [3]. This implementation of the IR scanner involves two steps.…”

Section: An Infrared Scanner Implementationmentioning

confidence: 99%

“…The sensor, mounted on a PAN and TILT scanning system, mimics the behavior of an FPA (Focal Plane Array) matrix. The user can select both the scanning range and angle, which determine the resolution of the matrix [3]. Thermal imaging is a non-contact monitoring (NCM) technique that is increasingly utilized in various applications, including identifying incipient damage as a preventive measure [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…The proposed technique has been tested and validated using two measurement devices: a professional FLIR SC325 taken as a reference and an improved version of an IR scanner previously developed by the authors in [3].…”

Section: Introductionmentioning

confidence: 99%

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Prognostic Health Management Using IR Thermography: The Case of a Digital Twin of a NiTi Endodontic File

Ruffa

Lugarà

Fulco

et al. 2023

Sensors

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Prognostic and health management technologies are increasingly important in many fields where reducing maintenance costs is critical. Non-destructive testing techniques and the Internet of Things (IoT) can help create accurate, two-sided digital models of specific monitored objects, enabling predictive analysis and avoiding risky situations. This study focuses on a particular application: monitoring an endodontic file during operation to develop a strategy to prevent breakage. To this end, the authors propose an innovative, non-invasive technique for early fault detection based on digital twins and infrared thermography measurements. They developed a digital twin of a NiTi alloy endodontic file that receives measurement data from the real world and generates the expected thermal map of the object under working conditions. By comparing this virtual image with the real one acquired by an IR camera, the authors were able to identify an anomalous trend and avoid breakage. The technique was calibrated and validated using both a professional IR camera and an innovative low-cost IR scanner previously developed by the authors. By using both devices, they could identify a critical condition at least 11 s before the file broke.

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Section: Ir Measurement In Real Spacementioning

confidence: 99%

Section: An Infrared Scanner Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Prognostic Health Management Using IR Thermography: The Case of a Digital Twin of a NiTi Endodontic File

Ruffa

Lugarà

Fulco

et al. 2023

Sensors

Self Cite

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“…A statistic reported by Cisco [8] about the use of the IoT (Internet of Things) points out that in 2010 there were over 12.5 billion connected devices, with an increase of more than 400% in 2020 (about 50 billion). There are several experiments and applications currently underway in the construction sector [9], [10], including "dynamic facades with high-performance envelope for the energy efficiency of the building", "the optimization of IAQ (Indoor Air Quality) levels in buildings through intelligent ventilation systems", "systems for monitoring building safety and risk mitigation", etc.…”

Section: Introductionmentioning

confidence: 99%

IOT enviromental quality monitoring in smart buildings in presence of measurement uncertainty: a decision making approach

et al. 2023

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The change of living concept from "traditional" to "smart” concerns how we live and relate in spaces that today, more than ever, are "sensitive" (i.e. spaces where digital technologies occupy a prominent place in the monitoring and control of buildings, with the aim of achieving high levels of quality of life). We are therefore witnessing the creation of new declinations of living and, in this context, the internet of things (IoT) represents the starting point for the creation of connected products that "share" the information they detect with other objects or people on the network. In this scenario, the authors propose an original approach to measurements for the assessment of comfort in living environments. The work consists in the design and implementation of a measurement station, which acquires and analyses data collected by the network of distributed sensors and activates forced ventilation if the level of comfort is below the desired threshold. In such situations where measurement data are compared with a threshold value, it is necessary to consider how measurement uncertainty affects the decision taken; in this particular context, since the activation of actuators involves energy consumption, the decision on the effective threshold crossing should be well thought. For this reason, the aim of this work is to propose a smart monitoring system that through the setup and calibration of two decision-making algorithms, can decide if the measured value is below or over the threshold set with a known probability. In this way, the end user can chose an appropriate strategy, calibrated on the specific living environment, which allows to maximize either environmental comfort or energy saving, depending on the specific needs.

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Monitoring of Thermal Dispersion in Indoor Environments: an InfraRed Scanner Technique

Cited by 2 publications

References 33 publications

Prognostic Health Management Using IR Thermography: The Case of a Digital Twin of a NiTi Endodontic File

Prognostic Health Management Using IR Thermography: The Case of a Digital Twin of a NiTi Endodontic File

IOT enviromental quality monitoring in smart buildings in presence of measurement uncertainty: a decision making approach

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