基于ART的集装箱运输防损策略优化探究

Optimization of Strategies of Loss Prevention in Container Transport Based on ART

本论文结合人工智能运输机器人在港口应用的案例,从问题现象入手,分析急停可能导致的损失,通过对ART急停原因分析,制定出急停改缓停的解决方案,结果显示缓停策略大大地降低了ART急停概率,可为其他自动化集装箱码头水平运输作业或使用自动化车辆的工程项目提供借鉴。

Based on the application of Artificial Intelligence Robot of Transportation(ART)in ports,the anomalies were investigated in order to find the potential losses caused by the emergency halt.By analyzed the causes for ART emergency-halt,a solution of quick-halt being replaced by slow-halt was proposed,which significantly reduced the frequency of ART emergency-halt.The research results may serves as a reference for the horizontal transportation in automated container ports or the application of unmanned vehicles.