Havo sifatini bashoratli monitoringi uchun aqlli qurilma va tahlil uchun dasturiy ta’minot ishlab chiqish
Abstract
Maqolada IoT (Internet of Things) sensorlari va vaqt qatorlari prognozi modellariga asoslangan havo sifatini real vaqt monitoringi va bashorat tizimining loyihasi taqdim etilgan. Ishning ilmiy yangiligi quyidagilardir: birinchidan, kam tannarxli sensorlarning ma’lumotlarini kalibrlash uchun ko’p sensorli fusion algoritmi taklif etilgan; ikkinchidan, havo ifloslanishining 24 soatli bashorati uchun LSTM neyron tarmoq modeli qo’llanilgan; uchinchidan, AQI (Air Quality Index) ning standartlashtirilgan hisoblash modeli bilan integratsiya amalga oshirilgan. Maqolada qurilma arxitekturasi, ifloslanish indeksining formulasi va LSTM tuzilmasining sxemasi keltirilgan.
Kalit so’zlar: havo sifati, IoT, AQI, LSTM, vaqt qatorlari prognozi, sensor fusion, PM2.5, environmental monitoring
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