中国科技核心期刊
美国化学文摘社(CAS)数据库
美国EBSCO学术数据库
日本科学技术振兴机构数据库(JST)
王润年|王永辉
Wang Runnian1, Wang Yonghui2
以某金铜混合冶炼企业精矿仓车间传统桥式起重机为基础,进行5G+无人驾驶智能配矿行车改造,通过应用5G技术,采用SA独立组网方式,以及对自动控制和库管系统的研究建设,实现了行车的高效智能作业和无人驾驶。改造后,行车的作业效率提升20 %以上,作业时长降低70 %,安全事故发生率降低70 %以上,实现了降本增效,改善了作业环境,降低了安全事故发生率。在重工业领域行车安全高效作业进行了积极有效的探索和尝试,为行车在有色金属冶炼企业的应用发展提供了方向,对提高有色金属冶炼企业的安全文明生产具有重要意义。
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.