集装箱堆场智慧闸口解决方案  

Intelligent Gate Solution for Container Yard

作　　者：刘涛 刘娟 LIU Tao;LIU Juan(Sanlly Container Services Co.,Ltd,Qingdao266500,China)

机构地区：[1]鑫三利集装箱服务有限公司,山东青岛266500

出　　处：《青岛远洋船员职业学院学报》2023年第3期21-24,共4页Journal of Qingdao Ocean Shipping Mariners College

摘　　要：闸口作为进出集装箱堆场的必经通道,直接影响集装箱综合流转效率。闸口过检效率成为提升集装箱堆场货运能力的瓶颈,其矛盾日益凸显。集装箱堆场吞吐量不断在增加,将对堆场服务能力带来更大的挑战,对堆场信息化建设及智能化建设提出更高的要求。利用目前先进的机器学习与AI图像识别技术,提出集装箱堆场智慧闸口设计方案,对所有闸口车辆自动采集车牌号、车辆类型、集装箱图片、集装箱箱号及车辆轴重和总重,减少人工干预,实现无人值守,显著提升集装箱堆场闸口进出效率。As a necessary passage for entering and exiting the container yard,the gate directly affects the overall efficiency of container circulation.The efficiency of gate inspection has become a bottleneck in improving the freight capacity of container yards,and its contradiction is becoming increasingly prominent.The continuous increase in container yard throughput will bring greater challenges to the service capacity of the yard,and put forward higher requirements for the informationization and intelligence construction of the yard.At present,advanced machine learning and AI image recognition technology have been proposed for container yard smart gates,which automatically collect license plate numbers,vehicle types,container images,container numbers,and vehicle axle and total weights for all gate vehicles,reducing manual intervention,achieving unmanned operation,and significantly improving the efficiency of container yard gate entry and exit.

关 键 词：集装箱堆场 智能闸口 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]