To address the issues associated with traditional inspection methods for slag slow cooling fields,which rely on manual operations and are characterized by high safety risks,low efficiency,high costs,low accuracy,and harsh environments,an intelligent inspection system for slag slow cooling fields has been developed and applied.This system uses a gimbal infrared thermal imager to capture thermal and visible light images of slag package and cooling water spray.By applying infrared thermal imaging temperature algorithms and AI-based intelligent recognition,the system accurately monitors temperature changes in slag package and the operational status of the spray,automatically identifying anomalies and issuing timely warnings.Since its implementation,the system has demonstrated high stability and precision,enabling staff to address various on-site inspection issues,thereby ensuring production safety and stability.This system offers an efficient and intelligent inspection solution for the metal smelting industry,promoting digital transformation and intelligent upgrades within the sector.