Chinese core journals in science and technology
Chemical Abstracts Service (CAS) database
EBSCO Academic Database in the United States
Japan Science and Technology Agency Database (JST)
Wang Runnian1, Wang Yonghui2
This study focuses on the transformation of a traditional bridge crane in the concentrate warehouse of a gold-copper smelting enterprise into a 5G+ unmanned intelligent ore-blending crane. By integrating 5G technology with a standalone (SA) network architecture and developing automated control and warehouse management systems, the upgraded crane achieves intelligent operation and unmanned capabilities. Post-upgrade results show a 20 % increase in operational efficiency, а 70 % reduction in operational duration, and over 70 % decrease in safety incidents, signifi-cantly reducing costs, improving the working environment, and enhancing safety. This initiative provides a pioneering exploration of safe and efficient crane operations in heavy industries, offering a direction for the application of unmanned cranes in non-ferrous smelting enterprises and contributing to safer and more sustainable production practices.