dc.contributor.author | Stočkūnaitė, Karolina | |
dc.date.accessioned | 2023-09-18T09:12:19Z | |
dc.date.available | 2023-09-18T09:12:19Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/111047 | |
dc.description.abstract | Baigiamajame magistro darbe nagrinėjama išmaniojo pastato valdymo sistema. Apžvelgiami tradiciniai, PID pagrįsti, pastato valdymo sistemos veikimo principai. Nagrinėjama išmaniųjų PVS sistemų kūrimą sudarančios sąlygos ir pritaikymo galimybės šildymo, vėdinimo ir oro kondicionavimo valdymui. Analizuojami dirbtinio intelekto pritaikymo ŠVOK sistemos valdyme pavyzdžiai ir aprašomi jų pasiekti rezultatai. Įvertintas analizuojamo objekto pastato valdymo sistemos funkcionalumas, kaupiami duomenys ir nustatyti veikimo trūkumai bei ŠVOK sistemos valdymo klaidos. Taip pat, apskaičiuota tiriamojo objekto galima energijos sutaupymo apimtis PVS sistemai dirbant efektyviau. Išnagrinėjus teorinius ir praktinius pastato valdymo sistemos ypatumus, pateikiamos baigiamojo darbo išvados. Darbą sudaro 5 dalys: įvadas, literatūros apžvalga, tiriamoji dalis, išvados, literatūros sąrašas. Darbo apimtis – 70 pslp. teksto be priedų, 39 iliustr., 6 lent., 32 bibliografiniai šaltiniai. | lit |
dc.description.abstract | The final master's thesis deals with the intelligent building management system. The traditional, PID-based, building management system operation principles are reviewed. The conditions and application possibilities for the development of intelligent PVA systems for heating, ventilation and air conditioning control are examined. Examples of the application of artificial intelligence in the management of the HVAC system are analyzed and the results achieved are described. The functionality of the building management system of the analyzed object was evaluated, data were collected and operational deficiencies and HVAC system management errors were identified. Also, the potential energy savings of the research object with more efficient operation of the PVA system were calculated. After analyzing the theoretical and practical features of the building management system, the conclusions of the final work are presented. Structure: introduction, literature review, research part, conclusions, references. Thesis consists of: 70 p. text without appendixes, 39 pictures, 6 tables, 32 bibliographical entries. | eng |
dc.format | PDF | |
dc.format.extent | 70 p. | |
dc.format.medium | tekstas / txt | |
dc.language.iso | lit | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:96373363/datastreams/MAIN/content | |
dc.title | Išmaniojo pastato valdymo sistemos tyrimas | |
dc.title.alternative | Research of Smart Building Management System | |
dc.type | Magistro darbas / Master thesis | |
dcterms.references | 0 | |
dc.type.pubtype | ETD_MGR - Magistro darbas / Master thesis | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.subject.researchfield | T 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering | |
dc.subject.studydirection | E08 - Elektros inžinerija / Electrical engineering | |
dc.subject.lt | pastato valdymo sistema | |
dc.subject.lt | PID | |
dc.subject.lt | dirbtinis intelektas | |
dc.subject.lt | efektyvumas | |
dc.subject.lt | optimizavimas | |
dc.subject.en | building management system | |
dc.subject.en | PID | |
dc.subject.en | artificial intelligence | |
dc.subject.en | efficiency | |
dc.subject.en | optimization | |
dc.identifier.elaba | 96373363 | |