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作 者:古健 张琦福 张鹏飞 张凯 刘韵芝 GU Jian;ZHANG Qifu;ZHANG Pengfei;ZHANG Kai;LIU Yunzhi(China ENFI Engineering Corporation,Beijing 100038,China;School of Humanities and Management,Southwest Medical University,Luzhou 646000,China;Guangxi Jinchuan Nonferrous Metals Co.,Ltd.,Fangchenggang 538002,China)
机构地区:[1]中国恩菲工程技术有限公司,北京100038 [2]西南医科大学人文与管理学院,四川泸州646600 [3]广西金川有色金属有限公司,广西防城港538000
出 处:《有色设备》2025年第2期83-89,共7页Nonferrous Metallurgical Equipment
摘 要:在新建或改造铜冶炼渣缓冷场时,存在设备数量多、设备间配合度高、调度方案复杂且多样等挑战。传统的图纸方式可以在缓冷场区域设计不同的功能分区,做静态展示分析,但是存在调度方案呈现困难、无法统计各设备利用率和故障无法模拟等问题。本文结合某铜冶炼渣缓冷场的实际工艺条件,仿真模拟了多种不同调度方案和故障情况,经验证表明,仿真技术不但可以解决上述问题,而且实现了对调度方案的优化调整和各调度方案间的综合对比分析。仿真结果显示,该渣缓冷场采用3台起重机、4台电动平车用于作业为最优方案,为缓冷场的建设提供了数据支撑。In the construction or renovation of copper smelting slag slow cooling plants,challenges include numerous equipments,high equipment coordination requirements,complex scheduling schemes,and diverse operational scenarios.Traditional drawing-based methods can design functional zones for static analysis but have difficulty in visualizing dynamic scheduling,tracking equipment utilization rates,or simulating faults.This paper combines the actual process conditions of a copper smelting slag slow cooling plant to simulate various scheduling strategies and fault scenarios.Results demonstrate that simulation technology not only addresses these limitations but also optimizes scheduling plans and enables comprehensive comparisons between different strategies.The simulation concludes that the optimal configuration for this plant is 3 cranes and 4 electric flat cars,providing data-driven support for plant construction.
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