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Smart IoT-based temperature-sensing device for energy-efficient glass window monitoring

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dc.title Smart IoT-based temperature-sensing device for energy-efficient glass window monitoring en
dc.contributor.author Mach, Václav
dc.contributor.author Vojtěšek, Jiří
dc.contributor.author Adámek, Milan
dc.contributor.author Drábek, Pavel
dc.contributor.author Stoklásek, Pavel
dc.contributor.author Dlabaja, Štěpán
dc.contributor.author Kopeček, Lukáš
dc.contributor.author Mizera, Aleš
dc.relation.ispartof Future Internet
dc.identifier.issn 1999-5903 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2025
utb.relation.volume 17
utb.relation.issue 12
dc.type article
dc.language.iso en
dc.publisher Multidisciplinary Digital Publishing Institute (MDPI)
dc.identifier.doi 10.3390/fi17120576
dc.relation.uri https://www.mdpi.com/1999-5903/17/12/576
dc.relation.uri https://www.mdpi.com/1999-5903/17/12/576/pdf?version=1765804062
dc.subject temperature-sensing device en
dc.subject internet of things en
dc.subject thermal insulation en
dc.subject window en
dc.description.abstract This paper presents the development and validation of an IoT-enabled temperature-sensing device for real-time monitoring of the thermal insulation properties of glass windows. The system integrates contact and non-contact temperature sensors into a compact PCB platform equipped with WiFi connectivity, enabling seamless integration into smart home and building management frameworks. By continuously assessing window insulation performance, the device addresses the challenge of energy loss in buildings, where glazing efficiency often degrades over time. The collected data can be transmitted to cloud-based services or local IoT infrastructures, allowing for advanced analytics, remote access, and adaptive control of heating, ventilation, and air-conditioning (HVAC) systems. Experimental results demonstrate the accuracy and reliability of the proposed system, confirming its potential to contribute to energy conservation and sustainable living practices. Beyond energy efficiency, the device provides a scalable approach to environmental monitoring within the broader future internet ecosystem, supporting the evolution of intelligent, connected, and human-centered living environments. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1012636
utb.identifier.scopus 2-s2.0-105025974031
utb.identifier.wok 001647285800001
utb.source J-wok
dc.date.accessioned 2026-01-16T08:40:24Z
dc.date.available 2026-01-16T08:40:24Z
dc.description.sponsorship Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2024/002]
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Mach, Václav
utb.contributor.internalauthor Vojtěšek, Jiří
utb.contributor.internalauthor Adámek, Milan
utb.contributor.internalauthor Drábek, Pavel
utb.contributor.internalauthor Stoklásek, Pavel
utb.contributor.internalauthor Dlabaja, Štěpán
utb.contributor.internalauthor Kopeček, Lukáš
utb.contributor.internalauthor Mizera, Aleš
utb.fulltext.sponsorship This research was supported by the Internal Grant Agency of Tomas Bata University in Zlín, under the project No. IGA/CebiaTech/2024/002.
utb.wos.affiliation [Mach, Vaclav; Vojtesek, Jiri; Adamek, Milan; Drabek, Pavel; Stoklasek, Pavel; Dlabaja, Stepan; Kopecek, Lukas; Mizera, Ales] Tomas Bata Univ Zlin, Fac Appl Informat, Nad Stranemi 4511, Zlin 76005, Czech Republic
utb.fulltext.projects IGA/CebiaTech/2024/002
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Attribution 4.0 International Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution 4.0 International