SANOAT TEXNOLOGIK TIZIMLARINI INTELLEKTUAL MODELLASHTIRISH VA REAL VAQTLI BOSHQARUV STRATEGIYALARINI OPTIMALLASHTIRISH USULLARI
DOI:
https://doi.org/10.47390/ts-v3i12y2025N04Ключевые слова:
sun’iy intellekt, IoT, Industry 4.0, intellektual modellashtirish, real vaqt rejimidagi boshqaruv, Model Predictive Control, neyron tarmoqlar, raqamli egizak, kimyo sanoati, neft va gaz sanoati, bashoratlash, optimallashtirish, ma’lumotlarga asoslangan model.Аннотация
Ushbu maqolada sanoat texnologik tizimlarini intellektual modellashtirish usullari va real vaqt rejimidagi boshqaruv strategiyalarini optimallashtirish masalalari yoritiladi. “Industry 4.0” konsepsiyasi doirasida sun’iy intellekt, IoT, raqamli egizaklar, neyron tarmoqlar va Model Predictive Control (MPC) kabi ilg‘or texnologiyalarni sanoat jarayonlariga integratsiya qilishning nazariy va amaliy asoslari bayon etiladi. Murakkab kimyoviy va neft-kimyo tizimlarini fizik qonunlarga asoslangan va ma’lumotlarga asoslangan yondashuvlar orqali modellashtirishga alohida e’tibor qaratiladi. Maqolada Python dastur kodi, graflar va matematik modellar yordamida silliqlash, bashoratlash va optimallashtirish algoritmlarini amalga oshirish misollari keltiriladi. Shuningdek, real vaqt rejimidagi optimallashtirish, raqamli egizaklarning o‘rni hamda mukofotga asoslangan o‘rganish texnologiyalari sanoatning avtonom boshqaruv tizimlariga o‘tishidagi muhim bosqichlar sifatida tahlil qilinadi.
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