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Ideja za magistrsko delo se je porodila v sodelovanju s podjetjem M Sora, d.d., kjer smo z razvojnim oddelkom začeli z razvojem sistema za inteligentno upravljanje stavbnega pohištva. Naše delo se odvija na področju razvoja oken z dodano inteligenco in prepoznavanja vzorcev uporabe oken, ki bodo izhodišče za razvoj načina njihovega delovanja. V sodelovanju s podjetjem smo razvili prototip mobilne aplikacije, namenjene upravljanju stavbnega pohištva. Zasnovali smo dva osrednja načina delovanja, ki temeljita na avtomatskem zagotavljanju primernih bivanjskih pogojev, ki jih definirajo individualne želje uporabnikov. Sistem z inteligentnim izvajanjem prezračevanja zagotavlja izbrano raven vlage in kakovosti zraka v prostoru, skrbi za uravnavanje hrupnosti v prostorih in obenem nudi konstanten pregled nad stanjem odprtosti oken, s čimer je zagotovljena tudi varnost. Ob tem smo oblikovali tudi uporabniški vmesnik, ki nudi enostaven pregled nad prostori in vsemi okni v objektu ter omogoča nastavljanje parametrov vlage in hrupa po individualnih željah uporabnika. Na podlagi podatkov, pridobljenih s pomočjo dodane senzorske opreme so nastavljena izhodišča za nadaljnje strojno učenje sistema, preko katerega bo aplikacija sposobna zaznavanja specifičnih želja in vedenjskih vzorcev prebivajočih v objektu in jih bo sposobna posnemati ter avtomatsko izvajati. The idea for master's thesis was conceived in collaboration with M Sora company, where we, in collaboration with the development department with years of experience and continious cooperation with end customers, have started developing an intelligent builders' joinery management system. Our work is taking place in the field of development of windows with added intelligence and also in the recognition of windows use patterns to develop proper operating modes. We have developed a prototype of a mobile application for the management of builders' joinery. We have designed two main operation modes of the system, which are based on the automatic provision of suitable living conditions, which are defined according to individual user preferences. The intelligent system ensures a selected level of humidity and air quality in the rooms, the control of noise in the rooms, and provides a constant overview of the windows, which ensures safety. At the same time, we have designed a user interface that offers an easy overview of the rooms and all the windows in the building, as well as the setting of humidity and noise parameters according to individual user preferences. On the basis of the data obtained from the added sensory equipment, the starting points for further machine learning of the system are set, through this the mobile application will be able to detect specific desires and behavioral patterns of the inhabitants in the facility and will be able to replicate and automatically perform them. |
