有色设备

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.