出 处:《金属矿山》2024年第10期166-175,共10页Metal Mine
基 金:国家核能开发科研项目(编号:019-GN-F120-BW.2022)。
摘 要:纳米比亚某露天矿年度采矿生产燃油消耗成本高达数亿元,卡车燃油消耗占总油耗约50%,是整个采矿生产燃油消耗成本的主要组成部分。然而,该矿山因缺乏合适的燃油消耗预测模型,无法准确预测因优化生产和排土次序带来的经济效益,且油耗阶段性预算与实际消耗偏差较大,无法满足矿山生产精细化管理要求。为解决该矿山卡车燃油消耗预测难题,以优化采矿生产和指导卡车运输管理,降低卡车燃油消耗,实现降本增效,通过MineSched排产软件,结合相应的年度排产计划方案,并利用Haulage模块功能模拟卡车实际运输路线,以相应采坑、排土场地表作为约束条件,精准匹配实际开采位置和排土范围,从而获得不同道路坡度下运输物料的运输功。再结合设备厂家所提供的卡车发动机小时油耗计算表、矿山实测卡车在不同运输状态下的平均速度,以及卡车重载、空载等信息,将发动机小时油耗转换为卡车的吨公里油耗,以此构建出高精度的卡车燃油消耗预测模型。根据模型预测结果与历年实际油耗数据进行对比迭代,修正燃油消耗预测模型。利用该模型进行了抽样预测历史油耗、计算优化排土区域及次序经济效益、滚动预测卡车油耗、开展卡车油耗差异化原因分析等。结果表明:模型预测的燃油消耗与实际油耗的平均偏差控制在4%以内,模型精度高;通过优化排土场分区、排土次序和运输路径,计算出矿山全生命周期内可节约柴油消耗量约3832万L,节约燃油成本约3亿元;基于模型建立了卡车的年、季、月燃油消耗预算体系,据此分析卡车阶段性油耗差异化原因,滚动优化和降低生产油耗,可为矿山采矿生产精细化管理提供支持。The annual fuel consumption cost of an open-pit mine in Namibia is up to hundreds of millions of yuan,and truck fuel consumption accounts for about 50%of the total fuel consumption,which is the main component of the entire fuel consumption cost of mining production.However,due to the lack of suitable fuel consumption forecasting model,the mine cannot accurately predict the economic benefits brought by the optimization of production and discharge order,and the staged budget of fuel consumption has a large deviation from the actual consumption,which cannot meet the requirements of fine management of mine production.With the surface of corresponding mining pit and dump site as constraint conditions,the actual mining position and discharge range are accurately matched to obtain the transport work of transporting materials under different road gradients.Combined with the calculation model of hourly fuel consumption of truck engine provided by the equipment manufacturer,the average speed of truck measured in the mine under different transport conditions,and the information of truck heavy load and no-load,etc.By converting engine hour fuel consumption into truck ton-kilometer fuel consumption,a high-precision truck fuel consumption prediction model is constructed.The fuel consumption prediction model was modified by comparing the model prediction results with the actual fuel consumption data over the years.The model was used to predict the historical fuel consumption,calculate the optimal discharge area and order economic benefits,roll forecast truck fuel consumption,and carry out the difference analysis of truck fuel consumption.The results show that the average deviation between the predicted fuel consumption and the actual fuel consumption is controlled within 4%,and the model has high accuracy.By optimizing the area,order and transportation path of the dump,it is calculated that the diesel consumption can be saved about 38.32 million L and the fuel cost can be saved about 300 million yuan during the whole life cycle
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