Purpose-Weathering steel has excellent resistance to atmospheric corrosion,but still faces complex environmental corrosion problems during long-term operation.This paper mainly studies the corrosion problem of weather...Purpose-Weathering steel has excellent resistance to atmospheric corrosion,but still faces complex environmental corrosion problems during long-term operation.This paper mainly studies the corrosion problem of weather resistant steel materials for railway freight car bodies with a load capacity of 70 tons.Design/methodology/approach-The paper analyzes the corrosion characteristics of weather resistant steel materials for truck bodies through macroscopic and microscopic methods including metallographic microscopy,scanning electron microscopy,energy dispersive spectroscopy and X-ray diffraction.Electrochemical analysis shows that the rust layer on the surface of weathering steel changes the surface state of the material,and also proves that weathering steel used in trucks undergoes electrochemical corrosion under atmospheric corrosion.At the same time,ion chromatography technology is used to study the corrosive ions mainly present in the residual liquid and foam solution inside the vehicle body.Findings-The corrosion of truck body materials is mainly electrochemical corrosion,and the corrosion of door materials is more obvious than that of other parts.The corrosion products are mainly Fe oxides and hydroxides.There are high concentrations of Cl-and SO42-ions in the residual liquid and foam solution at the bottom of the freight car,which are the main factors causing corrosion of the railway freight car body.Originality/value-The foam adhesive around the door panel is in a moist state for a long time,and corrosive ions will accelerate the electrochemical corrosion of the weather resistant steel material of the door panel.Therefore,the corrosion of the cargo door panel is more severe than other components.展开更多
The increasing popularity of e-commerce brings large volumes of sporadic orders from different customers,which have to be handled by freight trucks and distribution centers. To improve the level of service and reduce ...The increasing popularity of e-commerce brings large volumes of sporadic orders from different customers,which have to be handled by freight trucks and distribution centers. To improve the level of service and reduce the total shipping cost as well as traffic congestions in urban area, flexible methods and optimal vehicle routing strategies should be adopted to improve the efficiency of distribution effort. An optimization solution for vehicle routing and scheduling problem with time window for sporadic orders (VRPTW- S) was provided based on time-dependent travel time extracted from floating car data (FCD) with ArcGIS platform. A VRPTW-S model derived from the traditional vehicle routing problem was proposed, in which uncertainty of customer orders and travel time were considered. Based on this model, an advanced vehicle routing algorithm was designed to solve the problem. A case study of Shenzhen, Guangdong province, China, was conducted to demonstrate the vehicle operation flow,in which process of FCD and efficiency of delivery systems under different situations were discussed. The final results demonstrated a good performance of application of time-dependent travel time information using FCD in solving vehicle routing problems.展开更多
The test methods for dynamics per-formance of rolling stock on track in China and a-broad are compared and analyzed. The differentpoints and identical points in GB/T 5599-1985 Rail-way Vehicles-Specification for evalu...The test methods for dynamics per-formance of rolling stock on track in China and a-broad are compared and analyzed. The differentpoints and identical points in GB/T 5599-1985 Rail-way Vehicles-Specification for evaluation the dy-namic performance and accreditation test and UIC518-2009 Testing and approval of railway vehiclesfrom the point of view of their dynamic behaviour-Safety-Track fatigue-Running behaviour are mainlycompared from such aspects as application scope, testconditions, evaluation contents, measurement pointarrangement and processing of measured data. In theend, in combination of the specific conditions in Chi-na, relevant suggestions are given on the test for dy-namics performance of rapid freight cars on track.展开更多
传统的货车运行故障动态图像检测系统(trouble of moving freight car detection system,TFDS)通过图像采集加人工判读的方式完成车辆状态检查和分析,费时费力。近年来,随着人工智能的发展,TFDS系统中逐渐加入智能识别算法,但受限于样...传统的货车运行故障动态图像检测系统(trouble of moving freight car detection system,TFDS)通过图像采集加人工判读的方式完成车辆状态检查和分析,费时费力。近年来,随着人工智能的发展,TFDS系统中逐渐加入智能识别算法,但受限于样本量少、环境复杂等因素,智能识别算法的识别准确率仍不能满足工程应用要求。为此,文中提出一种基于反馈修正弱光增强的运煤火车外观状态智能检测识别方法,实现高效高精度智能识别车辆外观状态。首先,为解决户外环境光线不断变化带来的弱光图像质量影响智能识别算法准确率的问题,比较研究了六种弱光增强算法对原始图像的预处理性能及其对火车车厢目标识别准确率的影响。结果表明:应用URetinex-Net方法增强后,火车车厢目标识别准确率可以从55%提升到90%。另外,为了解决车辆异常状态的样本数据量有限带来的火车车辆外观状态检测识别与建模过程中严重的数据不均衡问题,文中提出通过多次迭代训练加反馈修正的方式不断提高目标检测模型的准确率,可将识别准确率提升到95.2%。目前该系统已部署于某铁路运煤区间站点并平稳运行,提高了工作效率,具有较高的推广和应用价值。展开更多
基金supported by Research and Development Plan of China Railway Group(N2023J065).
文摘Purpose-Weathering steel has excellent resistance to atmospheric corrosion,but still faces complex environmental corrosion problems during long-term operation.This paper mainly studies the corrosion problem of weather resistant steel materials for railway freight car bodies with a load capacity of 70 tons.Design/methodology/approach-The paper analyzes the corrosion characteristics of weather resistant steel materials for truck bodies through macroscopic and microscopic methods including metallographic microscopy,scanning electron microscopy,energy dispersive spectroscopy and X-ray diffraction.Electrochemical analysis shows that the rust layer on the surface of weathering steel changes the surface state of the material,and also proves that weathering steel used in trucks undergoes electrochemical corrosion under atmospheric corrosion.At the same time,ion chromatography technology is used to study the corrosive ions mainly present in the residual liquid and foam solution inside the vehicle body.Findings-The corrosion of truck body materials is mainly electrochemical corrosion,and the corrosion of door materials is more obvious than that of other parts.The corrosion products are mainly Fe oxides and hydroxides.There are high concentrations of Cl-and SO42-ions in the residual liquid and foam solution at the bottom of the freight car,which are the main factors causing corrosion of the railway freight car body.Originality/value-The foam adhesive around the door panel is in a moist state for a long time,and corrosive ions will accelerate the electrochemical corrosion of the weather resistant steel material of the door panel.Therefore,the corrosion of the cargo door panel is more severe than other components.
基金National Natural Science Foundation of China(No.71101109)Shanghai Pujiang Program,China(No.12PJ1404600)
文摘The increasing popularity of e-commerce brings large volumes of sporadic orders from different customers,which have to be handled by freight trucks and distribution centers. To improve the level of service and reduce the total shipping cost as well as traffic congestions in urban area, flexible methods and optimal vehicle routing strategies should be adopted to improve the efficiency of distribution effort. An optimization solution for vehicle routing and scheduling problem with time window for sporadic orders (VRPTW- S) was provided based on time-dependent travel time extracted from floating car data (FCD) with ArcGIS platform. A VRPTW-S model derived from the traditional vehicle routing problem was proposed, in which uncertainty of customer orders and travel time were considered. Based on this model, an advanced vehicle routing algorithm was designed to solve the problem. A case study of Shenzhen, Guangdong province, China, was conducted to demonstrate the vehicle operation flow,in which process of FCD and efficiency of delivery systems under different situations were discussed. The final results demonstrated a good performance of application of time-dependent travel time information using FCD in solving vehicle routing problems.
文摘The test methods for dynamics per-formance of rolling stock on track in China and a-broad are compared and analyzed. The differentpoints and identical points in GB/T 5599-1985 Rail-way Vehicles-Specification for evaluation the dy-namic performance and accreditation test and UIC518-2009 Testing and approval of railway vehiclesfrom the point of view of their dynamic behaviour-Safety-Track fatigue-Running behaviour are mainlycompared from such aspects as application scope, testconditions, evaluation contents, measurement pointarrangement and processing of measured data. In theend, in combination of the specific conditions in Chi-na, relevant suggestions are given on the test for dy-namics performance of rapid freight cars on track.
文摘传统的货车运行故障动态图像检测系统(trouble of moving freight car detection system,TFDS)通过图像采集加人工判读的方式完成车辆状态检查和分析,费时费力。近年来,随着人工智能的发展,TFDS系统中逐渐加入智能识别算法,但受限于样本量少、环境复杂等因素,智能识别算法的识别准确率仍不能满足工程应用要求。为此,文中提出一种基于反馈修正弱光增强的运煤火车外观状态智能检测识别方法,实现高效高精度智能识别车辆外观状态。首先,为解决户外环境光线不断变化带来的弱光图像质量影响智能识别算法准确率的问题,比较研究了六种弱光增强算法对原始图像的预处理性能及其对火车车厢目标识别准确率的影响。结果表明:应用URetinex-Net方法增强后,火车车厢目标识别准确率可以从55%提升到90%。另外,为了解决车辆异常状态的样本数据量有限带来的火车车辆外观状态检测识别与建模过程中严重的数据不均衡问题,文中提出通过多次迭代训练加反馈修正的方式不断提高目标检测模型的准确率,可将识别准确率提升到95.2%。目前该系统已部署于某铁路运煤区间站点并平稳运行,提高了工作效率,具有较高的推广和应用价值。
