SEMENT ISHLAB CHIQARISHDA XOMASHYO MASSASINI REAL VAQT REJIMIDA NAZORAT QILISHNING INTEGRATSIYALASHGAN INTELLEKTUAL METODOLOGIYASI
DOI:
https://doi.org/10.65164/s18qj834Kalit so‘zlar:
Og'irlik nazorati, Kalman filtri, LMS algoritmi, AHP-MCDM tahlili, avtomatlashtirish.Abstrak
Sement sanoatining agressiv ekspluatatsiya sharoitlarida xomashyo massasini
aniq o‘lchash ishlab chiqarish samaradorligini oshirishda muhim ahamiyatga ega. Ushbu tadqiqotda
raqamli texnologiyalar va intellektual algoritmlar integratsiyasi orqali og‘irlik nazorati tizimlarini
optimallashtirish masalasi ko‘rib chiqilgan. Tadqiqot ob’ekti sifatida konveyer asosidagi o‘lchov
tizimi olingan bo‘lib, MATLAB/Simulink muhitida tizimning raqamli egizak (Digital Twin) modeli
ishlab chiqilgan. Rocker-pin, Shear-beam va S-type tenzodatchiklarining dinamik xatoliklari RMSE
mezoni bo‘yicha tahlil qilinganda, Rocker-pin konstruksiyasi vibratsiyali va changli muhitda eng
barqaror (RMSE 4.6–4.9 kg) yechim ekani aniqlangan. Signal sifatini oshirish maqsadida Kalman filtri
va adaptiv LMS algoritmlari kombinatsiyasi qo‘llanilgan. Natijada dinamik xatolik darajasi 10% dan
1.5% gacha pasaytirilib, o‘lchash aniqligi 6.7 barobar yaxshilangan. Tenzodatchikni tanlash jarayoni
AHP-MCDM modeli orqali ilmiy asoslangan bo‘lib, Rocker-pin datchigi 0.52 integral ustuvorlik
koeffitsienti bilan eng samarali yechim sifatida tasdiqlangan.
Havolalar
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