人工智能技术在集装箱空箱调运业务中的应用  

Application of AI technology in empty container transfer business

作　　者：张宁 

机构地区：[1]中远海运集装箱运输有限公司

出　　处：《中国远洋海运》2021年第5期56-59,7,共5页Maritime China

摘　　要：关键提示从事传统航运业的船公司可以利用人工智能技术不断优化集装箱空箱运输业务,使其从初始人工操作模式逐步升级到以人工智能(AI)技术为核心生产力的数字化操作模式,从而大大提升空箱调运效率,优化空箱调运路径,降低调空成本。M系统主要运用了人工智能的深度学习(Deep Learning)。深度学习是用于建立、模拟人脑进行学习的神经网络,并模仿人脑的机制来解释数据的一种机器学习技术,其基本特点是试图模拟大脑的神经元之间传递、处理信息的模式。The shipping company engaged in the traditional industry can take advantage of the artificial intelligence technology,optimize empty container transportation business,make it gradually upgrade to the artificial intelligence(AI)technology from the original manual operation mode as the core digital operation mode of productivity,thus greatly improve efficiency of dispatching empty containers,optimization of empty container transportation route and decrease the cost of the empty.The M system mainly uses Deep Learning of artificial intelligence.Deep learning is a machine learning technology that is used to build and simulate the neural network of human brain for learning and to interpret data by imitating the mechanism of human brain.Its basic feature is to try to simulate the mode of information transmission and processing between neurons of the brain.It has irreplaceable advantages in economy and security based on artificial intelligence technology.Reducing costs and improving efficiency are important means for enterprises to improve profitability.Artificial intelligence technology will make great progress in shipping enterprises.

关 键 词：运输业务 人工智能技术 集装箱空箱调运 深度学习 神经网络 机器学习技术 航运业 

分 类 号：U695.22[交通运输工程—港口、海岸及近海工程]