摘要
为提升自动化集装箱码头无人车辆作业效率,实现车队智能化管控,综合运用大数据、云计算、磁钉定位、激光定位等技术,构建了无人车队智能管控平台.该平台采用B/S架构与分布式结构,涉及基础设施层、分布式服务层、业务中台层和业务应用层等.管控平台可提供实时作业信息,能够实现无人车辆可视化管理、路径智能化生成、决策实时性响应、车队灵活调度等功能,提升港口的整体运营成效.
Abstract
In order to improve the operational efficiency of unmanned vehicles at automated container terminals and achieve intelligent control of the fleet,a smart control platform for unmanned fleet is constructed by comprehensively utilizing technologies such as big data,cloud computing,magnetic nail positioning,and laser positioning.The platform adopts a B/S architecture and distributed structure,involving infrastructure layer,distributed service layer,business middleware layer,and business application layer.The control platform can provide real-time operation information,achieve visual management of unmanned vehicles,intelligent path generation,reals-time decision-making response,flexible fleet scheduling and other functions,so as toimprove the overall operational efficiency of the port.
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