YAYLOV CHORVA PODALARINI BAHOLASHDA ILG'OR TEXNOLOGIK USULLARINING RETROSPEKTIV TAHLILI
Keywords:
Edge Computing, IoT sensorlari, RFID, GPS, Reference reader, active, passive, Leader-based, yaylov podalari, real vaqt monitoringi, chorvachilik monitoringiAbstract
Mazkur tadqiqotda ilg'or sensor qurilmalari va chekka hisoblash (Edge Computing) texnologiyalari yordamida yaylov sharoitidagi chorva podalarini real vaqt rejimida monitoring qilishning retrospektiv tahlili amalga oshirilgan. Uzoq masofali, ochiq hududlarda monitoring samaradorligini oshirish maqsadida Reference Reader gibrid modeli taklif etilgan. Mazkur arxitekturaning o‘ziga xosligi - barcha obyektlarni qimmatbaho sensorlar bilan jihozlash o‘rniga, tayanch obyekt tanlanib, unga
ma’lumot yig‘uvchi (reference) qurilma va qolgan guruh a’zolariga passiv RFID teglar o‘rnatish orqali iqtisodiy tejamkorlikka erishilganligidir. Adabiyotlar tanlash va saralash jarayoni PRISMA protokoli asosida olib borilgan bo'lib, RSSI asosidagi lokalizatsiya modellari, IoT sensor tarmoqlari (WSN) va Edge Computing yondashuvlari qiyosiy tahlil qilingan. Tadqiqotda Long-Distance Path Loss modeli asosida RSSI – masofa konversiyasi, Moving Average Filter yordamida signalni silliqlashtirish va poda dispersiyasini hisoblashning matematik asoslari keltirilgan. Tadqiqot natijalari shuni ko'rsatadiki, Edge qurilmalari mahalliy darajada ma'lumotlarni filtrlash va birlashtirish orqali kechikishlarni sezilarli kamaytiradi va yuzlab gektarli, internet infrastrukturasi cheklangan yaylovlarda - xususan Qoraqalpog'istonning cho'l va tuzli iqlim sharoitida obyektlarni identifikatsiya, inventarizatsiya va aniq lokalizatsiya qilishda samarali yechim bo'la oladi.
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