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A Smart Building Resource Prediction, Navigation and Management System Supported by Radio Tomography and Computational Intelligence

cris.lastimport.scopus2024-09-16T01:31:02Z
dc.abstract.enThis article presents research results on a smart building prediction, navigation and asset management system. The main goal of this work was to combine all comfort subsystems, such as lighting, heating or air conditioning control, into one coherent management system supported by navigation using radio tomographic imaging techniques and computational intelligence in order to improve the building’s ability to track users and then maximize the energy efficiency of the building by analyzing their behavior. In addition, the data obtained in this way were used to increase the quality of navigation services, improve the safety and ergonomics of using the room access control system and create a centralized control panel enriched with records of the working time of individual people. The quality of the building’s user habit learning is ensured by a network of sensors collecting environmental data and thus the setting values of the comfort modules. The advantage of such a complex solution is an increase in the accuracy of navigation services provided, an improvement in the energy balance, an improvement in the level of safety and faster facility diagnostics. The solution uses proprietary small device assemblies with implementation of popular wireless transmission standards such as Bluetooth, Wi-Fi, ZigBee or Z-Wave. These PANs (personal area networks) are used to update and transmit environmental and navigation data (Bluetooth), to maintain the connection of other PANs to the master server (Wi-Fi) and to communicate with specific end devices (ZigBee and Z-Wave).
dc.affiliationTransportu i Informatyki
dc.contributor.authorMichał Styła
dc.contributor.authorPrzemysław Adamkiewicz
dc.contributor.authorTomasz Cieplak
dc.contributor.authorStanisław Skowron
dc.contributor.authorArtur Dmowski
dc.contributor.authorJózef Stokłosa
dc.date.accessioned2024-07-04T07:37:09Z
dc.date.available2024-07-04T07:37:09Z
dc.date.issued2021
dc.identifier.doi10.3390/en14248260
dc.identifier.issn1996-1073
dc.identifier.urihttps://repo.akademiawsei.eu/handle/item/353
dc.languageen
dc.pbn.affiliationinformation and communication technology
dc.relation.ispartofEnergies
dc.rightsCC-BY
dc.subject.enbuilding automation
dc.subject.encomputational intelligence
dc.subject.enenergy saving
dc.subject.enindoor navigation
dc.subject.enradio tomography imaging
dc.subject.ensmart building
dc.titleA Smart Building Resource Prediction, Navigation and Management System Supported by Radio Tomography and Computational Intelligence
dc.typeReviewArticle
dspace.entity.typePublication
oaire.citation.issue24
oaire.citation.volume14