dc.contributor.author | Lepkova, Natalija | |
dc.date.accessioned | 2023-09-18T20:35:30Z | |
dc.date.available | 2023-09-18T20:35:30Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/151156 | |
dc.description.abstract | In modern society, the concept of “smart house” is increasingly being heard. At present, it is generally acceptable that a smart house has efficient building management, local management and business management systems. A smart house increases the business value of the environment created by the adaptability and flexibility provided by the location and the communication systems. There are many opinions on how we should understand the concept of a smart house. Some people believe this is a modern home audience, others think it’s a fully designed home cable system. There are some who guess that this reflects modern telecommunication systems, etc. Everything that has been mentioned really reflects only part of the “smart home” possibilities. Smart House introduces a modern, robust automated system that allows to integrate all of the main operating subsystems such as: energy supply, supply of gas and water, lighting system, heating systems, microclimate systems, other remote controls. The smart houses are often pointed as one of the main constituents of smarter living environments. The chapter provides the smart house definition, criteria defining smart building, smart house technology explanation, examples of smart houses in different countries, smart house data model, building progress and analysis of smart building automation and control systems (applying SWOT analysis method). | eng |
dc.format | PDF | |
dc.format.extent | p. 193-207 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.ispartofseries | Istanbul University Publication no. 5273 | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:79185566/datastreams/MAIN/content | |
dc.subject | T 000 - Technologijos mokslai / Technological sciences | |
dc.subject | J800 - Statybų technologijos / Building technology | |
dc.title | Smart house: data gathering and analysis | |
dc.type | Monografijos dalis / A part of monograph | |
dcterms.accessRights | This work is published online under the terms of Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0 | |
dcterms.license | Creative Commons – Attribution – NonCommercial – 4.0 International | |
dcterms.references | 15 | |
dc.type.pubtype | Y1 - Monografijos dalis / A part of monograph | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.vgtuprioritizedfields | SD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | smart house | |
dc.subject.en | smart house technology | |
dc.subject.en | smart house data model | |
dcterms.sourcetitle | Who runs the world: data | |
dc.publisher.name | Istanbul University Press | |
dc.publisher.city | Istanbul | |
dc.identifier.doi | 10.26650/B/ET06.2020.011 | |
dc.identifier.elaba | 79185566 | |