2026-06-02 19:30:31
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The integration of China's copper plate industry and AI is accelerating from 'experience driven' to 'data intelligence', forming a full chain innovation covering quality inspection, process, operation and scheduling. On the quality inspection end, Zhongse Technology's 'Smart Eye Inspection' system is based on deep learning algorithms to achieve millisecond level recognition of copper strip surface defects, with a detection rate of up to 95%, a decrease of 80% in missed detection rate, and a detection speed exceeding 400 meters per minute; Ningbo Jintian Copper Industry has deployed AI visual quality inspection and 'intelligent tailoring' system to dynamically optimize cutting paths, resulting in a 2% increase in yield and an annual cost savings of over 1.5 million yuan. At the level of process optimization, Jiangxi Copper Industry's 'Copper Smelting Intelligent Refining' large model integrates computer vision and LM-BP neural network, achieving an accuracy rate of over 95% in determining the endpoint of converter smelting, increasing annual efficiency by 5 million yuan, and synchronously reducing sulfur dioxide emissions by 511 tons. In terms of equipment operation and maintenance, Tongling Nonferrous has integrated the DeepSeek big model to build a predictive maintenance system, accurately warn of equipment failures, and reduce downtime by 30%. The industry as a whole relies on the '5G+Industrial Internet' platform to open up data islands and promote the transition from single point intelligence to system collaboration. The National Implementation Plan for High Quality Development of the Copper Industry (2025-2027) clearly states that AI will be the core driving force to promote the transformation of China's copper plate processing from 'manufacturing' to 'intelligent manufacturing', and a globally leading technology standard system is taking shape.