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为了解决氧化铝配矿调度过程中不确定性因素多、计算工作量大、难以获取最优方案以及生产结构不合理造成能源浪费等问题,以能耗最小为目标函数,结合生产经验,建立了烧结法和拜耳法统一配矿的优化调度模型,并针对模型中存在的非线性、多约束和多目标特点,运用了一种引入变异算子的混合粒子群算法进行寻优。在充分考虑了软件工业实用性及界面友好性的基础上,应用该调度方法,设计并开发了氧化铝配矿过程的优化调度软件。运行结果表明,该优化调度软件可以根据铝矿石品位的不同快速高效地给出能耗最优配矿调度方案,并节能降耗,取得了显著的应用效果。
In order to solve the problems of the uncertainties in the process of dispatching of alumina, the calculation of the workload, the difficulty of obtaining the optimal solution and the waste of energy caused by the unreasonable production structure, the energy consumption was minimized as the objective function and the production experience was established Sintering method and Bayer method, a mixed particle swarm optimization algorithm based on mutation operator is proposed to solve the nonlinear, multi-constraint and multi-objective problems in the model. Based on the practicality of the software industry and its interface friendliness, this scheduling method is applied to design and develop the optimal scheduling software for the process of ore blending. The running results show that the optimal scheduling software can quickly and efficiently give the dispatching scheme of optimal energy consumption with different energy consumption according to the grade of aluminum ore, and save energy and reduce consumption, and achieved remarkable results.