大数据思维在港口集装箱牵引车发动机维保中的应用  

Application of Big Data Concept in Container Tractor Engine Maintenance

作　　者：刘海峰 

机构地区：[1]广州港南沙港务有限公司,广东广州511462

出　　处：《港口科技》2016年第11期46-49,共4页Port Science & Technology

摘　　要：为优化港口集装箱牵引车发动机的维保流程,合理安排集装箱牵引车发动机的维保和大修,利用大数据思维进行统计分析,科学控制牵引车发动机大修和保养的时间节点,构建出科学的发动机维保体系,降低发动机故障率,延长发动机使用寿命。In order to optimize the process and bring up reasonable arrangements for the maintenance of container tractor engine, the statistical analysis based on big data concept is carried out, the time node of the engine maintenance is controlled and the engine maintenance system is built scientifically. It is shown that the engine failure frequency is reduced observably and the engine span of life is raised.

关 键 词：港口 集装箱牵引车 大数据 发动机 

分 类 号：U653.923.4[交通运输工程—港口、海岸及近海工程]