NOUFERROUS METALLURGICAL EQUIPMENT

With the advancement of intelligent manufacturing and smart logistics, traditional factory grab cranes are struggling to meet the requirements in terms of efficiency and safety. This paper constructs a fully intelligent grab crane management system based on automatic driving, artificial intelligence and machine vision. Through intelligent positioning, target recognition and autonomous operation, it realizes intelligent silo management in the material preparation workshop. After the system was applied in a raw material factory, it significantly improved equipment stability and operation accuracy, reduced operating costs, promoted the intelligent upgrading of grab cranes, and provided support for the intelligent transformation of the non-ferrous metallurgy industry.Since the project system was put into operation, the response time for equipment anomalies has been shortened by 60%, and operational efficiency has been improved by 40%, and remote maintenance guidance has reduced on-site maintenance time by 30%, and the equipment failure rate has been reduced by 25%.