SANOAT TEXNIK OBYEKTLARI UCHUN CHUQUR O‘RGANISHGA ASOSLANGAN NOSOZLIKLARNI ANIQLASH VA BASHORATLI TEXNIK XIZMAT KO‘RSATISH TIZIMI
Keywords:
chuqur o‘rganish, nosozliklarni aniqlash, graf neyron tarmoqlari, ko‘p agentli mustahkamlash o‘rganishi, bashoratli texnik xizmat, issiqlik elektr stantsiyasi.Abstract
Ushbu maqolada sanoat texnik obyektlari — xususan, issiqlik elektr stantsiyalari — uchun mo‘ljallangan chuqur o‘rganishga asoslangan nosozliklarni aniqlash va bashoratli texnik xizmat ko‘rsatish tizimi taqdim etiladi. Taklif qilingan tizim graf neyron tarmoqlari (GNN), ko‘p agentli mustahkamlash o‘rganishi (MARL), Proximal Policy Optimization (PPO) va Soft Actor-Critic (SAC) algoritmlarini hamda Shapley-asosli koordinatsiya mexanizmini birlashtiradi. Eksperimental natijalar GNN+MARL giperlarning nosozliklarni aniqlash aniqligini 98.3% ga, F1-ko‘rsatkichni esa 97.5% ga etkazganini ko‘rsatdi, bu esa mavjud usullardan sezilarli darajada ustun kelishini tasdiqlaydi. Bundan tashqari, tizim real vaqtda kechikishni 22.6 ms chegarasida saqlab qoladi, bu esa sanoat joylashtirishning amaliy talablariga javob beradi.
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