Chinese lead-zinc rolling processing equipment industry

2026-08-17 19:23:16

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The Chinese lead-zinc rolling processing equipment industry has undergone a prof

The Chinese lead-zinc rolling processing equipment industry has undergone a profound intelligent revolution in the past decade, with a core focus on upgrading the 'perception decision execution' closed-loop system. The industry has fully introduced industrial Internet and digital twin technology to realize the digital monitoring of the whole process from raw material feeding, multi pass calendering to finished product coiling. The digital twin paradigm of the whole life cycle of 'design build operation and maintenance' built by Chinalco International Shenyang Institute in the field of non-ferrous metals has been widely migrated to the lead and zinc production line. AI visual inspection system (such as Lincode LIVIS) is deeply embedded in the production line. Through high-precision industrial camera and edge computing terminal, it can identify roll marks, cracks, and uneven thickness micron defects in real time. The detection efficiency is increased by 300%, and the false detection rate is reduced to below 0.5%, completely replacing manual visual inspection. The PLC+SCADA system collaborates with a robot for loading and unloading materials and an automatic roller changing device, achieving 24-hour unmanned continuous production and increasing equipment OEE (overall efficiency) by more than 25%. The IoT sensor network covers key transmission and temperature control units, combined with predictive maintenance algorithms, achieving a fault warning accuracy rate of 92% and reducing unplanned downtime by 40%. Driven by the 'Made in China 2025' and the 'Industrial Internet plus+Non ferrous Metals' policy, leading enterprises such as Zhejiang Hailiang and Luoyang Copper Processing have completed the transformation of intelligent production lines. The unit energy consumption has decreased by 18% and the product qualification rate has exceeded 99.2%. The industry is moving from 'single machine automation' to 'system intelligence', building a new data-driven flexible manufacturing ecosystem.


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