低碳限制下综合成本最小的露天矿卡车运输优化研究

露天卡车运输是露天矿山企业生产管理中的重要环节,合理控制卡车运输的能源消耗和碳排放量是低碳经济背景下保护资源环境的重要举措。在低碳限制下针对露天矿卡车运输问题,以油耗成本、碳排放成本和卡车启用成本最小为优化目标,综合考虑各装载点与各卸载点之间的多条运输路径和生产任务,建立了低碳限制下综合成本最小的卡车运输优化模型,然后利用IAS算法对模型进行求解,对卡车运输行驶的能源消耗进行了优化,并将3种不同目标函数做了对比,最后利用实例进行验证。结果表明:该优化研究能够有效减少运输成本、能源消耗和碳排放量,同时也能减少卡车使用数目,降低了矿山企业的经营成本,为建设资源节约型和环境友好型矿山提供了保障。

Truck Transportation Optimization Research under the Constraints of Low Carbon with the Lowest Comprehensive Cost in Open-pit Mine

Truck transportation is an important link in open-pit mine production management， thus reasonable control of truck transport energy consumption and carbon emissions is an important measure to protect resources and environment in the context of low-carbon economy. Under the low carbon constraints， the problem of fuel consumption， carbon emission cost and truck activation cost are optimized for open-pit mine truck transportation. Considering multiple transportation routes and production tasks between each loading point and each unloading point， the minimum energy consumption model of open-pit mine trucks under energy consumption and low-carbon constraints were established. Then the model was solved by IAS algorithm， the energy consumption of truck transportation was optimized， and three different objective functions were compared. Finally， the optimization model is verified by an example， and the results show that the optimization research can effectively reduce transportation costs in open-pit mine. Meanwhile， it can also reduce the number of trucks and the operating cost of mining enterprises， and provide a guarantee for the construction of resource-saving and environment-friendly mines.