Container transportation is pivotal in global trade due to its efficiency,safety,and cost-effectiveness.However,structural defects—particularly in grapple slots—can result in cargo damage,financial loss,and elevated...Container transportation is pivotal in global trade due to its efficiency,safety,and cost-effectiveness.However,structural defects—particularly in grapple slots—can result in cargo damage,financial loss,and elevated safety risks,including container drops during lifting operations.Timely and accurate inspection before and after transit is therefore essential.Traditional inspection methods rely heavily on manual observation of internal and external surfaces,which are time-consuming,resource-intensive,and prone to subjective errors.Container roofs pose additional challenges due to limited visibility,while grapple slots are especially vulnerable to wear from frequent use.This study proposes a two-stage automated detection framework targeting defects in container roof grapple slots.In the first stage,YOLOv7 is employed to localize grapple slot regions with high precision.In the second stage,ResNet50 classifies the extracted slots as either intact or defective.The results from both stages are integrated into a human-machine interface for real-time visualization and user verification.Experimental evaluations demonstrate that YOLOv7 achieves a 99%detection rate at 100 frames per second(FPS),while ResNet50 attains 87%classification accuracy at 34 FPS.Compared to some state of the arts,the proposed system offers significant speed,reliability,and usability improvements,enabling efficient defect identification and visual reconfirmation via the interface.展开更多
随着全球化贸易的蓬勃发展,集装箱多式联运逐渐成为国际货物运输的主流模式。多样化市场需求的迅猛增长和新兴技术的进步与创新,为中国集装箱多式联运领域提供了广阔的发展空间。为系统总结中国集装箱多式联运领域的研究,检索中国知网(C...随着全球化贸易的蓬勃发展,集装箱多式联运逐渐成为国际货物运输的主流模式。多样化市场需求的迅猛增长和新兴技术的进步与创新,为中国集装箱多式联运领域提供了广阔的发展空间。为系统总结中国集装箱多式联运领域的研究,检索中国知网(China National Knowledge Infrastructure,CNKI)核心数据库2000年1月1日—2024年7月10日共475篇中英文献,借助CiteSpace软件进行可视化分析,并结合文献阅读研究,总结得到集装箱多式联运领域的发文特征、研究现状、研究热点和研究趋势。研究结果表明:中国集装箱多式联运领域近年来突出的研究热点集中在新型集装箱、路径优化算法、绿色低碳运输和数智化信息平台建设等方面。目前集装箱多式联运领域研究存在的主要问题有:自动化设备与信息平台尚未实现全链条覆盖,全流程智能化进程缓慢;路径优化算法的实证研究不足,应对复杂场景能力受限;绿色能源应用与碳税制度构建尚不完善,综合性政策研究不足;信息平台建设面临数据互通壁垒与信息共享安全风险,协同效率提升有限。未来发展方向呈现多维度技术融合和系统性创新特征,主要集中在多式联运智能系统的动态响应与自主决策、全过程多情景下新型算法的开发与迁移、基于区块链技术的智能合约与自动结算、绿色岸电技术与新能源动力系统的耦合应用等方向。展开更多
文摘Container transportation is pivotal in global trade due to its efficiency,safety,and cost-effectiveness.However,structural defects—particularly in grapple slots—can result in cargo damage,financial loss,and elevated safety risks,including container drops during lifting operations.Timely and accurate inspection before and after transit is therefore essential.Traditional inspection methods rely heavily on manual observation of internal and external surfaces,which are time-consuming,resource-intensive,and prone to subjective errors.Container roofs pose additional challenges due to limited visibility,while grapple slots are especially vulnerable to wear from frequent use.This study proposes a two-stage automated detection framework targeting defects in container roof grapple slots.In the first stage,YOLOv7 is employed to localize grapple slot regions with high precision.In the second stage,ResNet50 classifies the extracted slots as either intact or defective.The results from both stages are integrated into a human-machine interface for real-time visualization and user verification.Experimental evaluations demonstrate that YOLOv7 achieves a 99%detection rate at 100 frames per second(FPS),while ResNet50 attains 87%classification accuracy at 34 FPS.Compared to some state of the arts,the proposed system offers significant speed,reliability,and usability improvements,enabling efficient defect identification and visual reconfirmation via the interface.
文摘随着全球化贸易的蓬勃发展,集装箱多式联运逐渐成为国际货物运输的主流模式。多样化市场需求的迅猛增长和新兴技术的进步与创新,为中国集装箱多式联运领域提供了广阔的发展空间。为系统总结中国集装箱多式联运领域的研究,检索中国知网(China National Knowledge Infrastructure,CNKI)核心数据库2000年1月1日—2024年7月10日共475篇中英文献,借助CiteSpace软件进行可视化分析,并结合文献阅读研究,总结得到集装箱多式联运领域的发文特征、研究现状、研究热点和研究趋势。研究结果表明:中国集装箱多式联运领域近年来突出的研究热点集中在新型集装箱、路径优化算法、绿色低碳运输和数智化信息平台建设等方面。目前集装箱多式联运领域研究存在的主要问题有:自动化设备与信息平台尚未实现全链条覆盖,全流程智能化进程缓慢;路径优化算法的实证研究不足,应对复杂场景能力受限;绿色能源应用与碳税制度构建尚不完善,综合性政策研究不足;信息平台建设面临数据互通壁垒与信息共享安全风险,协同效率提升有限。未来发展方向呈现多维度技术融合和系统性创新特征,主要集中在多式联运智能系统的动态响应与自主决策、全过程多情景下新型算法的开发与迁移、基于区块链技术的智能合约与自动结算、绿色岸电技术与新能源动力系统的耦合应用等方向。
